From 9e2c6b81df5bccb69e6cd78ea8e066f6869c320d Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Sat, 1 Aug 2026 08:55:45 +0200 Subject: [PATCH 01/18] Add on-Databricks end-to-end test suite with Databricks Asset Bundle Runs the impulse report pipeline against a real workspace on serverless compute, complementing the local-Spark unit suite. Deploys a serverless job via a DAB that installs the impulse wheel + databricks-labs-pytester and runs tests/e2e (pytest) in-job; a new e2e.yml workflow (nightly + manual) drives bundle deploy/run with OAuth M2M auth. The workspace host and credentials come from the environment (DATABRICKS_HOST + secrets), so nothing sensitive is committed. Co-authored-by: Isaac --- .github/workflows/e2e.yml | 83 +++++++++++++++++++++ Makefile | 10 ++- databricks.yml | 37 +++++++++ pyproject.toml | 17 +++++ resources/e2e_job.yml | 34 +++++++++ tests/conftest.py | 11 +++ tests/e2e/conftest.py | 93 +++++++++++++++++++++++ tests/e2e/report_pipeline_e2e_test.py | 103 ++++++++++++++++++++++++++ tests/e2e/run_in_job.py | 52 +++++++++++++ 9 files changed, 439 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/e2e.yml create mode 100644 databricks.yml create mode 100644 resources/e2e_job.yml create mode 100644 tests/e2e/conftest.py create mode 100644 tests/e2e/report_pipeline_e2e_test.py create mode 100644 tests/e2e/run_in_job.py diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml new file mode 100644 index 00000000..8aab24f5 --- /dev/null +++ b/.github/workflows/e2e.yml @@ -0,0 +1,83 @@ +name: e2e + +# End-to-end tests against a real Databricks workspace. These run the impulse +# report pipeline on serverless compute (see databricks.yml / resources/), so +# they are deliberately kept OFF the PR path (acceptance.yml owns fast local +# tests) and run nightly + on demand instead. +on: + # TEMPORARY — remove before merging to main. Lets the workflow run on pushes + # to the feature branch so it can be validated before it lands on the default + # branch (schedule/workflow_dispatch only trigger from main). + push: + branches: + - feature/e2e_tests_on_databricks + schedule: + # 04:00 UTC daily. + - cron: "0 4 * * *" + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +jobs: + # Same fork gate as acceptance.yml: fork runs get no OIDC token / secrets, so + # skip them. (Scheduled runs and workspace-authorized dispatches only.) + not-a-fork: + runs-on: + group: databrickslabs-protected-runner-group + labels: linux-ubuntu-latest + if: github.event_name != 'pull_request' || !github.event.pull_request.head.repo.fork + steps: + - run: echo "Not a fork, proceeding" + + e2e: + name: E2E on Databricks (serverless) + needs: not-a-fork + runs-on: + group: databrickslabs-protected-runner-group + labels: linux-ubuntu-latest + # The protected environment gates the Databricks SP secrets behind required + # reviewers so they are never exposed to an untrusted run. + environment: e2e + permissions: + # id-token: write is for JFrog OIDC (dependency install). Databricks auth + # is OAuth M2M via the secrets below, not GitHub OIDC. + id-token: write + env: + DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }} + DATABRICKS_CLIENT_ID: ${{ secrets.DATABRICKS_CLIENT_ID }} + DATABRICKS_CLIENT_SECRET: ${{ secrets.DATABRICKS_CLIENT_SECRET }} + DATABRICKS_AUTH_TYPE: oauth-m2m + # Serverless compute for the deployed job. + DATABRICKS_SERVERLESS_COMPUTE_ID: auto + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + + - name: Install UV + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 + with: + enable-cache: false + version: "0.11.2" + checksum: "7ac2ca0449c8d68dae9b99e635cd3bc9b22a4cb1de64b7c43716398447d42981" + + - name: Setup for JFrog + uses: ./.github/actions/jfrog-auth + + - name: Install dependencies + run: make dev + + - name: Install Databricks CLI + uses: databricks/setup-cli@8821c27b1fe57472264eeb6e50c1f31d69552f28 # v1.10.0 + + # `bundle deploy` builds the wheel via the `impulse_wheel` artifact + # (rm -rf dist && uv build --wheel), so no separate build step is needed. + - name: Deploy bundle + run: databricks bundle deploy -t e2e + + - name: Run e2e job + # Non-zero exit (any pytest failure inside the job) fails this step. + run: databricks bundle run e2e_tests -t e2e diff --git a/Makefile b/Makefile index 3d13e279..2651f0bd 100644 --- a/Makefile +++ b/Makefile @@ -38,6 +38,14 @@ coverage: $(UV_RUN) pytest tests/ --cov=src --cov-branch --cov-report=html open htmlcov/index.html +# Run the on-Databricks end-to-end suite as a serverless job. Requires the +# Databricks CLI and workspace auth in the environment (DATABRICKS_HOST + +# oauth-m2m, or a configured profile). Deploys the bundle (which builds the +# wheel) then runs the job; a pytest failure inside the job fails `bundle run`. +test-e2e: + databricks bundle deploy -t e2e + databricks bundle run e2e_tests -t e2e + build: uv build --require-hashes --build-constraints=.build-constraints.txt @@ -56,4 +64,4 @@ fork-sync: ./.github/scripts/fork-sync-pr.sh $(PR) .DEFAULT: all -.PHONY: all clean dev lint fmt test coverage build lock-dependencies fork-sync +.PHONY: all clean dev lint fmt test test-e2e coverage build lock-dependencies fork-sync diff --git a/databricks.yml b/databricks.yml new file mode 100644 index 00000000..c70f8cdb --- /dev/null +++ b/databricks.yml @@ -0,0 +1,37 @@ +# Databricks Asset Bundle for the on-Databricks end-to-end tests. +# +# Deploys a single serverless job that installs the impulse wheel + the e2e +# test dependencies and runs `tests/e2e/run_in_job.py` (pytest) inside the +# workspace. Driven from CI by `databricks bundle deploy && databricks bundle +# run e2e_tests` (see .github/workflows/e2e.yml). Auth is provided by the +# environment (OAuth M2M service principal); nothing sensitive lives here. +bundle: + name: impulse-e2e + +# Build the wheel as a bundle artifact so its /Workspace path exists at job +# runtime and can be referenced as a task library. +artifacts: + impulse_wheel: + type: whl + # Clean first so the `../dist/*.whl` dependency glob in resources/e2e_job.yml + # matches exactly one (fresh) wheel, never a stale build left in dist/. + build: rm -rf dist && uv build --wheel + path: . + +include: + - resources/*.yml + +variables: + catalog: + description: UC catalog the e2e tests create their ephemeral schemas under. + default: impulse_tests + +targets: + # The only target: the Azure workspace where the CI service principal has + # rights on the `impulse_tests` catalog. Host and auth both come from the + # environment (DATABRICKS_HOST + oauth-m2m, picked up by the CLI's unified + # auth), so the workspace URL lives in exactly one place — the secret — and + # is not pinned in the repo. + e2e: + default: true + mode: development diff --git a/pyproject.toml b/pyproject.toml index 51ce3249..d3895f5b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,6 +55,16 @@ dev = [ "black==26.3.1" ] +# Dependencies for the on-Databricks end-to-end suite (tests/e2e). These run +# INSIDE a serverless job (see databricks.yml), so pyspark/delta come from the +# runtime, not from here — only the workspace/isolation tooling is declared. +# `databricks-labs-pytester` provides the ephemeral-schema / volume fixtures; +# our tests/e2e/conftest.py overrides its `spark`/`sql_backend` fixtures to use +# the ambient in-job session instead of Databricks Connect + a SQL warehouse. +e2e = [ + "databricks-labs-pytester==0.7.4", +] + # Setuptools options [tool.setuptools.dynamic] version = {file = ["VERSION"]} @@ -68,6 +78,13 @@ exclude = ["src/*/demos"] pythonpath = [".", "src/impulse_reporting"] testpaths = ["tests"] addopts = "--junitxml=test-results.xml --cov=src --cov-report=html --cov-report=xml:coverage.xml --cov-report=term-missing" +# The on-Databricks suite (tests/e2e) is skipped automatically by +# tests/conftest.py when `databricks-labs-pytester` isn't installed (the local +# / default env), so `make test` and the CI shards never collect it. Inside the +# serverless job the package IS installed and `pytest tests/e2e` collects it. +markers = [ + "e2e: end-to-end tests that run against a real Databricks workspace (opt-in; see tests/e2e).", +] # Default dependency groups [tool.uv] diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml new file mode 100644 index 00000000..96127295 --- /dev/null +++ b/resources/e2e_job.yml @@ -0,0 +1,34 @@ +# Serverless job that runs the impulse e2e suite inside the workspace. +resources: + jobs: + e2e_tests: + name: "impulse e2e tests" + + # Fail the run if it hangs; the suite itself is minutes-long. + timeout_seconds: 3600 + max_concurrent_runs: 1 + + tasks: + - task_key: run_e2e + # Serverless Python task: runs the pytest entry point. A non-zero + # exit (pytest failures) fails the task -> fails `bundle run` -> CI. + # The catalog is passed as a positional arg; run_in_job.py exports it + # as IMPULSE_E2E_CATALOG for the conftest fixtures. + spark_python_task: + python_file: ../tests/e2e/run_in_job.py + parameters: + - "--catalog" + - ${var.catalog} + environment_key: e2e_env + + # Serverless base environment. Version 5 matches the runtime impulse is + # confirmed to run on (Spark 4.0 / Python 3.12). The impulse wheel is + # built by the bundle artifact; e2e-only tooling is added here. pyspark / + # delta are preinstalled in the serverless image, so they are NOT listed. + environments: + - environment_key: e2e_env + spec: + environment_version: "5" + dependencies: + - ../dist/*.whl + - databricks-labs-pytester==0.7.4 diff --git a/tests/conftest.py b/tests/conftest.py index 0ea87313..095fca8e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -12,6 +12,17 @@ import impulse_query_engine.schema as S from impulse_query_engine.measurement_db import MeasurementDB, MeasurementDBConfig +# The on-Databricks end-to-end suite (tests/e2e) needs a real workspace and the +# `databricks-labs-pytester` plugin. Skip collecting it whenever that plugin is +# absent — i.e. the local dev / default-CI environment — so `make test` and the +# acceptance shards only ever run the local-Spark suites. Inside the serverless +# job the plugin IS installed, so `pytest tests/e2e` collects it normally. +collect_ignore_glob = [] +try: + import databricks.labs.pytester # noqa: F401 +except ImportError: + collect_ignore_glob.append("e2e/*") + @pytest.fixture(scope="session") def spark() -> SparkSession: diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py new file mode 100644 index 00000000..16f0f2df --- /dev/null +++ b/tests/e2e/conftest.py @@ -0,0 +1,93 @@ +"""Fixtures for the on-Databricks end-to-end suite. + +These tests run **inside a serverless Databricks job** (see ``databricks.yml`` / +``resources/e2e_job.yml``), where a Spark session and workspace auth are already +ambient. We reuse ``databricks-labs-pytester`` for its ephemeral-schema / volume +fixtures (``make_schema``, ``make_volume``, ``make_random``, the watchdog +``RemoveAfter`` tagging), but its stock ``ws`` / ``spark`` / ``sql_backend`` +fixtures assume the *opposite* environment — a runner *outside* the workspace +using ``DATABRICKS_HOST`` env vars, Databricks Connect, and a SQL warehouse. So +we override those three to bind to the in-job session/auth instead; every other +pytester fixture is inherited from the plugin and picks up these overrides. +""" + +import os + +import pytest + +# NOTE: no top-level import of databricks-sdk / databricks-labs-* here. The root +# tests/conftest.py sets ``collect_ignore_glob`` to skip tests/e2e when +# ``databricks-labs-pytester`` is absent (local / default CI), but pytest still +# *imports* this conftest during collection. Keeping the workspace imports +# inside the fixture bodies means importing this module is harmless when those +# packages aren't installed; the fixtures only run in-job where they are. + +# Target UC catalog for the ephemeral schemas the tests create. Matches the +# bundle variable / the catalog the CI service principal was granted on. +E2E_CATALOG = os.environ.get("IMPULSE_E2E_CATALOG", "impulse_tests") + + +@pytest.fixture +def ws(): + """Ambient workspace client. + + Overrides pytester's ``ws`` (which reads ``DATABRICKS_HOST`` from the env). + Inside a job, a no-arg ``WorkspaceClient()`` picks up the job's ambient + credentials via the SDK's unified auth. + """ + from databricks.sdk import WorkspaceClient + + return WorkspaceClient() + + +@pytest.fixture +def spark(): + """Ambient in-job Spark session. + + Overrides pytester's ``spark`` (which builds a Databricks Connect session). + """ + from pyspark.sql import SparkSession + + return SparkSession.builder.getOrCreate() + + +@pytest.fixture +def sql_backend(spark): + """SQL backend bound to the ambient session. + + Overrides pytester's ``sql_backend`` (a ``StatementExecutionBackend`` that + needs ``DATABRICKS_WAREHOUSE_ID``). ``RuntimeBackend`` runs statements + through ``SparkSession.builder.getOrCreate()`` — the in-job session — so + ``make_schema`` and friends work without a warehouse. + """ + from databricks.labs.lsql.backends import RuntimeBackend + + return RuntimeBackend() + + +@pytest.fixture +def e2e_schema(make_schema): + """A randomly-named ephemeral schema under the e2e catalog. + + Auto-dropped (``DROP SCHEMA ... CASCADE``) after the test and tagged with a + ``RemoveAfter`` watchdog property, so a crashed run can't leak resources in + the shared ``impulse_tests`` catalog. Returns the ``SchemaInfo`` — use + ``.full_name`` (``impulse_tests.``) to qualify tables. + """ + return make_schema(catalog_name=E2E_CATALOG) + + +@pytest.fixture +def reporting_demo_dir() -> str: + """Filesystem path to the reporting demo CSVs. + + The bundle syncs the whole repo into the workspace, so ``demos/data/reporting`` + sits at a stable path relative to this file. Overridable via + ``IMPULSE_E2E_DATA_DIR`` if the layout differs. + """ + override = os.environ.get("IMPULSE_E2E_DATA_DIR") + if override: + return override + here = os.path.dirname(os.path.abspath(__file__)) + repo_root = here[: here.find("tests")] + return os.path.join(repo_root, "demos", "data", "reporting") diff --git a/tests/e2e/report_pipeline_e2e_test.py b/tests/e2e/report_pipeline_e2e_test.py new file mode 100644 index 00000000..a0aa5ff5 --- /dev/null +++ b/tests/e2e/report_pipeline_e2e_test.py @@ -0,0 +1,103 @@ +# pylint: disable=missing-function-docstring +"""End-to-end report pipeline against a real Databricks workspace. + +Runs inside a serverless job (see ``databricks.yml``). Exercises the whole +library path on real Unity Catalog + serverless Spark that the local-Spark unit +suite can only mock: + +1. Load the Seat Leon reporting demo CSVs into silver Delta tables in an + **ephemeral** UC schema (auto-dropped after the test). +2. Build a ``Report`` with a ``UnitySink`` pointing at that schema, defining a + ``BasicEvent`` (RPM > 2000) and a ``HistogramDuration`` over ``Engine RPM`` + — the same shape as ``demos/getting_started.ipynb``. +3. ``determine_report()`` → ``persist_results()`` **twice**, so the second write + goes through the incremental Delta ``MERGE`` path on real serverless compute. +4. Assert the gold histogram-fact table holds real, non-zero values (not just + row counts), mirroring + ``tests/impulse_reporting/integration/string_container_id_report_test.py``. +""" + +import pandas as pd +import pyspark.sql.functions as F +import pytest + +from impulse_reporting.aggregations.histogram import HistogramDuration +from impulse_reporting.core.page import Page +from impulse_reporting.core.report import Report +from impulse_reporting.events.basic_event import BasicEvent + +# Silver tables loaded from demos/data/reporting. `channels` is RAW point data +# (container_id, channel_id, timestamp, value); metadata is narrow/EAV. +_SILVER_TABLES = ( + "container_metrics", + "container_tags", + "channel_metrics", + "channel_tags", + "channels", +) + + +def _load_silver(spark, schema_full_name: str, csv_dir: str) -> None: + """Load the demo CSVs into ``.`` Delta tables.""" + for table in _SILVER_TABLES: + pdf = pd.read_csv(f"{csv_dir}/{table}.csv") + ( + spark.createDataFrame(pdf) + .write.format("delta") + .mode("overwrite") + .saveAsTable(f"{schema_full_name}.{table}") + ) + + +@pytest.mark.e2e +def test_report_pipeline_end_to_end(spark, ws, e2e_schema, reporting_demo_dir): + schema = e2e_schema.full_name # impulse_tests. + _load_silver(spark, schema, reporting_demo_dir) + + config = { + "source": { + "container_metrics_table": f"{schema}.container_metrics", + "container_tags_table": f"{schema}.container_tags", + "channel_metrics_table": f"{schema}.channel_metrics", + "channel_tags_table": f"{schema}.channel_tags", + "channels_uri": f"{schema}.channels", + }, + "unity_sink": { + "catalog": e2e_schema.catalog_name, + "schema": e2e_schema.name, + "table_prefix": "eval", + }, + "query_engine": {"solver": "DefaultSolver", "data_type": "RAW"}, + "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], + } + + report = Report(name="e2e_report", spark=spark, workspace_client=ws, config=config) + eng_rpm = report.get_db().query.channel(channel_name="Engine RPM", brand="Seat", model="Leon") + + high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") + report.add_event(high_rpm) + + page = Page(page_number=1) + page.add_aggregation( + HistogramDuration( + name="rpm_distribution", + base_expr=eng_rpm, + bins=[float(x) for x in range(0, 5001, 500)], + event=high_rpm, + channel_name="Engine RPM", + bins_unit="rpm", + values_unit="s", + ) + ) + report.add_page(page) + + report.determine_report() + report.persist_results() + # Second persist merges into the existing gold tables (incremental Delta MERGE). + report.persist_results() + + histogram_fact = spark.read.table(f"{schema}.eval_histogram_fact") + + assert histogram_fact.count() > 0, "histogram fact table is empty" + total_hist_value = histogram_fact.agg(F.sum("hist_value")).first()[0] + assert total_hist_value is not None and total_hist_value > 0, total_hist_value diff --git a/tests/e2e/run_in_job.py b/tests/e2e/run_in_job.py new file mode 100644 index 00000000..b24be100 --- /dev/null +++ b/tests/e2e/run_in_job.py @@ -0,0 +1,52 @@ +"""Entry point for the serverless e2e job (see ``resources/e2e_job.yml``). + +Databricks Asset Bundles sync the whole repo into the workspace, so this file +and the ``tests/e2e`` suite it runs sit next to each other at a stable path. +The job runs it as a ``spark_python_task``; a non-zero exit fails the task, +which fails ``databricks bundle run`` and therefore the CI job. Pytest output +(including assertion detail) is streamed into the job/run logs. + +Args (positional, passed by the job): + --catalog UC catalog for the ephemeral test schemas. Exported as + ``IMPULSE_E2E_CATALOG`` for the conftest fixtures. +""" + +import argparse +import os +import sys + +import pytest + + +def main() -> int: + parser = argparse.ArgumentParser() + parser.add_argument("--catalog", default=None) + args, _ = parser.parse_known_args() + if args.catalog: + os.environ["IMPULSE_E2E_CATALOG"] = args.catalog + + # Repo root = two levels up from tests/e2e/run_in_job.py. Run pytest from + # there so the tests/ package layout resolves as it does locally. + here = os.path.dirname(os.path.abspath(__file__)) + repo_root = os.path.abspath(os.path.join(here, "..", "..")) + os.chdir(repo_root) + + pytest_args = [ + "tests/e2e", + "-m", + "e2e", + "-v", + "-p", + "no:cacheprovider", + # This suite is not about coverage; the local suite owns that. + "--no-cov", + # Drop the repo's default coverage/junit addopts (they assume the local + # env and a local junit path). + "-o", + "addopts=", + ] + return pytest.main(pytest_args) + + +if __name__ == "__main__": + sys.exit(main()) From 93e290e7f51981a89eafb76530cddb68158bc748 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Mon, 3 Aug 2026 20:31:23 +0200 Subject: [PATCH 02/18] ci: temporarily allow serverless E2E job to fail while iterating --- .github/workflows/e2e.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 8aab24f5..6aedd2ca 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -37,6 +37,11 @@ jobs: e2e: name: E2E on Databricks (serverless) needs: not-a-fork + # TEMPORARY — remove before merging to main. While iterating on this + # workflow, keep failing runs from being reported as failed so no failure + # notifications fire and there's no red ✗. NOTE: the run will show green + # even when the tests fail — check the run logs for the real pass/fail. + continue-on-error: true runs-on: group: databrickslabs-protected-runner-group labels: linux-ubuntu-latest From e0c9a1daa023477fd86119bdc0153a1755a7d839 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Mon, 3 Aug 2026 21:04:49 +0200 Subject: [PATCH 03/18] ci: rename default UC catalog for e2e tests to impulse_tests_catalog --- databricks.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/databricks.yml b/databricks.yml index c70f8cdb..a1cc85fc 100644 --- a/databricks.yml +++ b/databricks.yml @@ -24,7 +24,7 @@ include: variables: catalog: description: UC catalog the e2e tests create their ephemeral schemas under. - default: impulse_tests + default: impulse_tests_catalog targets: # The only target: the Azure workspace where the CI service principal has From 3938a727f7059c1774876d18a420b905fed85bed Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 13:35:29 +0200 Subject: [PATCH 04/18] chore: ignore local scripts directory --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index e9222661..b2887dbf 100644 --- a/.gitignore +++ b/.gitignore @@ -51,6 +51,7 @@ logs/ # Local development settings .env .env.local +scripts/local/ # macOS specific .DS_Store From 1e8c02eb4bd1f95da05d61c9de60399a506ac882 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 14:29:18 +0200 Subject: [PATCH 05/18] feat(e2e): switch to read-only source schema and add source-schema parameter - Replace the local CSV-loading `reporting_demo_dir` fixture with a `source_schema` fixture that points to a pre-populated, read-only silver schema passed via `--source-schema`. - Add `source_schema` bundle variable and wire it through `resources/e2e_job.yml`, `tests/e2e/run_in_job.py`, and `tests/e2e/conftest.py`. - Update the e2e test to use `report.run()` and assert idempotency across two runs. - Trim verbose comments in `databricks.yml`, `Makefile`, `pyproject.toml`, `.github/workflows/e2e.yml`, and e2e resources/tests. - Refresh `uv.lock` to include the `databricks-labs-pytester` e2e dependency tree. --- .github/workflows/e2e.yml | 28 +++-------- Makefile | 5 +- databricks.yml | 26 +++------- pyproject.toml | 13 +---- resources/e2e_job.yml | 16 ++---- tests/conftest.py | 6 +-- tests/e2e/conftest.py | 71 +++++---------------------- tests/e2e/report_pipeline_e2e_test.py | 71 +++++++-------------------- tests/e2e/run_in_job.py | 60 +++++++++------------- uv.lock | 58 ++++++++++++++++++++++ 10 files changed, 133 insertions(+), 221 deletions(-) diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 6aedd2ca..3f413cd2 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -1,13 +1,8 @@ name: e2e -# End-to-end tests against a real Databricks workspace. These run the impulse -# report pipeline on serverless compute (see databricks.yml / resources/), so -# they are deliberately kept OFF the PR path (acceptance.yml owns fast local -# tests) and run nightly + on demand instead. +# End-to-end tests on Databricks serverless (see databricks.yml). Nightly and on demand. on: - # TEMPORARY — remove before merging to main. Lets the workflow run on pushes - # to the feature branch so it can be validated before it lands on the default - # branch (schedule/workflow_dispatch only trigger from main). + # TEMPORARY — remove before merging to main. push: branches: - feature/e2e_tests_on_databricks @@ -24,8 +19,7 @@ concurrency: cancel-in-progress: true jobs: - # Same fork gate as acceptance.yml: fork runs get no OIDC token / secrets, so - # skip them. (Scheduled runs and workspace-authorized dispatches only.) + # Fork runs get no secrets; skip them (same as acceptance.yml). not-a-fork: runs-on: group: databrickslabs-protected-runner-group @@ -37,28 +31,20 @@ jobs: e2e: name: E2E on Databricks (serverless) needs: not-a-fork - # TEMPORARY — remove before merging to main. While iterating on this - # workflow, keep failing runs from being reported as failed so no failure - # notifications fire and there's no red ✗. NOTE: the run will show green - # even when the tests fail — check the run logs for the real pass/fail. + # TEMPORARY — remove before merging to main. Failing runs show as green. continue-on-error: true runs-on: group: databrickslabs-protected-runner-group labels: linux-ubuntu-latest - # The protected environment gates the Databricks SP secrets behind required - # reviewers so they are never exposed to an untrusted run. environment: e2e permissions: - # id-token: write is for JFrog OIDC (dependency install). Databricks auth - # is OAuth M2M via the secrets below, not GitHub OIDC. + # For JFrog OIDC. id-token: write env: DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }} DATABRICKS_CLIENT_ID: ${{ secrets.DATABRICKS_CLIENT_ID }} DATABRICKS_CLIENT_SECRET: ${{ secrets.DATABRICKS_CLIENT_SECRET }} DATABRICKS_AUTH_TYPE: oauth-m2m - # Serverless compute for the deployed job. - DATABRICKS_SERVERLESS_COMPUTE_ID: auto steps: - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 @@ -78,11 +64,9 @@ jobs: - name: Install Databricks CLI uses: databricks/setup-cli@8821c27b1fe57472264eeb6e50c1f31d69552f28 # v1.10.0 - # `bundle deploy` builds the wheel via the `impulse_wheel` artifact - # (rm -rf dist && uv build --wheel), so no separate build step is needed. + # Also builds the wheel. - name: Deploy bundle run: databricks bundle deploy -t e2e - name: Run e2e job - # Non-zero exit (any pytest failure inside the job) fails this step. run: databricks bundle run e2e_tests -t e2e diff --git a/Makefile b/Makefile index bb82befa..f1af45b1 100644 --- a/Makefile +++ b/Makefile @@ -45,10 +45,7 @@ coverage: $(UV_RUN) pytest tests/ --cov=src --cov-branch --cov-report=html open htmlcov/index.html -# Run the on-Databricks end-to-end suite as a serverless job. Requires the -# Databricks CLI and workspace auth in the environment (DATABRICKS_HOST + -# oauth-m2m, or a configured profile). Deploys the bundle (which builds the -# wheel) then runs the job; a pytest failure inside the job fails `bundle run`. +# Run the end-to-end suite on Databricks. Needs the Databricks CLI and workspace auth. test-e2e: databricks bundle deploy -t e2e databricks bundle run e2e_tests -t e2e diff --git a/databricks.yml b/databricks.yml index a1cc85fc..ebb1db5a 100644 --- a/databricks.yml +++ b/databricks.yml @@ -1,20 +1,11 @@ -# Databricks Asset Bundle for the on-Databricks end-to-end tests. -# -# Deploys a single serverless job that installs the impulse wheel + the e2e -# test dependencies and runs `tests/e2e/run_in_job.py` (pytest) inside the -# workspace. Driven from CI by `databricks bundle deploy && databricks bundle -# run e2e_tests` (see .github/workflows/e2e.yml). Auth is provided by the -# environment (OAuth M2M service principal); nothing sensitive lives here. +# Bundle for the end-to-end tests: one serverless job that runs tests/e2e. bundle: name: impulse-e2e -# Build the wheel as a bundle artifact so its /Workspace path exists at job -# runtime and can be referenced as a task library. artifacts: impulse_wheel: type: whl - # Clean first so the `../dist/*.whl` dependency glob in resources/e2e_job.yml - # matches exactly one (fresh) wheel, never a stale build left in dist/. + # Clean first so the dist/*.whl glob in resources/e2e_job.yml matches one wheel. build: rm -rf dist && uv build --wheel path: . @@ -23,15 +14,14 @@ include: variables: catalog: - description: UC catalog the e2e tests create their ephemeral schemas under. - default: impulse_tests_catalog + description: Catalog for the ephemeral test schemas. + default: maxim_catalog + source_schema: + description: Schema under `catalog` with the silver test data (read-only). + default: impulse_v4_demo targets: - # The only target: the Azure workspace where the CI service principal has - # rights on the `impulse_tests` catalog. Host and auth both come from the - # environment (DATABRICKS_HOST + oauth-m2m, picked up by the CLI's unified - # auth), so the workspace URL lives in exactly one place — the secret — and - # is not pinned in the repo. + # Workspace host and auth come from the environment. e2e: default: true mode: development diff --git a/pyproject.toml b/pyproject.toml index a065fabf..be46d3f9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,12 +56,7 @@ dev = [ "black==26.3.1" ] -# Dependencies for the on-Databricks end-to-end suite (tests/e2e). These run -# INSIDE a serverless job (see databricks.yml), so pyspark/delta come from the -# runtime, not from here — only the workspace/isolation tooling is declared. -# `databricks-labs-pytester` provides the ephemeral-schema / volume fixtures; -# our tests/e2e/conftest.py overrides its `spark`/`sql_backend` fixtures to use -# the ambient in-job session instead of Databricks Connect + a SQL warehouse. +# End-to-end suite (tests/e2e); runs on Databricks, which provides pyspark/delta. e2e = [ "databricks-labs-pytester==0.7.4", ] @@ -79,12 +74,8 @@ exclude = ["src/*/demos"] pythonpath = [".", "src/impulse_reporting"] testpaths = ["tests"] addopts = "--junitxml=test-results.xml --cov=src --cov-report=html --cov-report=xml:coverage.xml --cov-report=term-missing" -# The on-Databricks suite (tests/e2e) is skipped automatically by -# tests/conftest.py when `databricks-labs-pytester` isn't installed (the local -# / default env), so `make test` and the CI shards never collect it. Inside the -# serverless job the package IS installed and `pytest tests/e2e` collects it. markers = [ - "e2e: end-to-end tests that run against a real Databricks workspace (opt-in; see tests/e2e).", + "e2e: end-to-end tests that run on Databricks.", ] # Default dependency groups diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 96127295..4eaa5ed3 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -1,33 +1,27 @@ -# Serverless job that runs the impulse e2e suite inside the workspace. resources: jobs: e2e_tests: name: "impulse e2e tests" - - # Fail the run if it hangs; the suite itself is minutes-long. timeout_seconds: 3600 max_concurrent_runs: 1 tasks: - task_key: run_e2e - # Serverless Python task: runs the pytest entry point. A non-zero - # exit (pytest failures) fails the task -> fails `bundle run` -> CI. - # The catalog is passed as a positional arg; run_in_job.py exports it - # as IMPULSE_E2E_CATALOG for the conftest fixtures. spark_python_task: python_file: ../tests/e2e/run_in_job.py parameters: - "--catalog" - ${var.catalog} + - "--source-schema" + - ${var.source_schema} + - "--repo-root" + - ${workspace.file_path} environment_key: e2e_env - # Serverless base environment. Version 5 matches the runtime impulse is - # confirmed to run on (Spark 4.0 / Python 3.12). The impulse wheel is - # built by the bundle artifact; e2e-only tooling is added here. pyspark / - # delta are preinstalled in the serverless image, so they are NOT listed. environments: - environment_key: e2e_env spec: + # pyspark and delta come with the serverless environment. environment_version: "5" dependencies: - ../dist/*.whl diff --git a/tests/conftest.py b/tests/conftest.py index 7205c7e5..a3de28ce 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -13,11 +13,7 @@ import impulse_query_engine.schema as S from impulse_query_engine.measurement_db import MeasurementDB, MeasurementDBConfig -# The on-Databricks end-to-end suite (tests/e2e) needs a real workspace and the -# `databricks-labs-pytester` plugin. Skip collecting it whenever that plugin is -# absent — i.e. the local dev / default-CI environment — so `make test` and the -# acceptance shards only ever run the local-Spark suites. Inside the serverless -# job the plugin IS installed, so `pytest tests/e2e` collects it normally. +# tests/e2e runs only on Databricks; skip it where its plugin is not installed. collect_ignore_glob = [] try: import databricks.labs.pytester # noqa: F401 diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py index 16f0f2df..beee26f7 100644 --- a/tests/e2e/conftest.py +++ b/tests/e2e/conftest.py @@ -1,40 +1,20 @@ -"""Fixtures for the on-Databricks end-to-end suite. - -These tests run **inside a serverless Databricks job** (see ``databricks.yml`` / -``resources/e2e_job.yml``), where a Spark session and workspace auth are already -ambient. We reuse ``databricks-labs-pytester`` for its ephemeral-schema / volume -fixtures (``make_schema``, ``make_volume``, ``make_random``, the watchdog -``RemoveAfter`` tagging), but its stock ``ws`` / ``spark`` / ``sql_backend`` -fixtures assume the *opposite* environment — a runner *outside* the workspace -using ``DATABRICKS_HOST`` env vars, Databricks Connect, and a SQL warehouse. So -we override those three to bind to the in-job session/auth instead; every other -pytester fixture is inherited from the plugin and picks up these overrides. +"""Fixtures for the e2e suite, which runs inside a serverless Databricks job. + +Overrides pytester's ``ws``, ``spark`` and ``sql_backend`` fixtures to use the +job's own session and credentials; the other pytester fixtures (e.g. +``make_schema``) are reused as-is. """ import os import pytest -# NOTE: no top-level import of databricks-sdk / databricks-labs-* here. The root -# tests/conftest.py sets ``collect_ignore_glob`` to skip tests/e2e when -# ``databricks-labs-pytester`` is absent (local / default CI), but pytest still -# *imports* this conftest during collection. Keeping the workspace imports -# inside the fixture bodies means importing this module is harmless when those -# packages aren't installed; the fixtures only run in-job where they are. - -# Target UC catalog for the ephemeral schemas the tests create. Matches the -# bundle variable / the catalog the CI service principal was granted on. -E2E_CATALOG = os.environ.get("IMPULSE_E2E_CATALOG", "impulse_tests") +# Workspace packages are imported inside the fixtures: pytest imports this file +# even where they are not installed and tests/e2e is skipped. @pytest.fixture def ws(): - """Ambient workspace client. - - Overrides pytester's ``ws`` (which reads ``DATABRICKS_HOST`` from the env). - Inside a job, a no-arg ``WorkspaceClient()`` picks up the job's ambient - credentials via the SDK's unified auth. - """ from databricks.sdk import WorkspaceClient return WorkspaceClient() @@ -42,10 +22,6 @@ def ws(): @pytest.fixture def spark(): - """Ambient in-job Spark session. - - Overrides pytester's ``spark`` (which builds a Databricks Connect session). - """ from pyspark.sql import SparkSession return SparkSession.builder.getOrCreate() @@ -53,13 +29,6 @@ def spark(): @pytest.fixture def sql_backend(spark): - """SQL backend bound to the ambient session. - - Overrides pytester's ``sql_backend`` (a ``StatementExecutionBackend`` that - needs ``DATABRICKS_WAREHOUSE_ID``). ``RuntimeBackend`` runs statements - through ``SparkSession.builder.getOrCreate()`` — the in-job session — so - ``make_schema`` and friends work without a warehouse. - """ from databricks.labs.lsql.backends import RuntimeBackend return RuntimeBackend() @@ -67,27 +36,11 @@ def sql_backend(spark): @pytest.fixture def e2e_schema(make_schema): - """A randomly-named ephemeral schema under the e2e catalog. - - Auto-dropped (``DROP SCHEMA ... CASCADE``) after the test and tagged with a - ``RemoveAfter`` watchdog property, so a crashed run can't leak resources in - the shared ``impulse_tests`` catalog. Returns the ``SchemaInfo`` — use - ``.full_name`` (``impulse_tests.``) to qualify tables. - """ - return make_schema(catalog_name=E2E_CATALOG) + """Ephemeral schema for the test's output, dropped after the test.""" + return make_schema(catalog_name=os.environ["IMPULSE_E2E_CATALOG"]) @pytest.fixture -def reporting_demo_dir() -> str: - """Filesystem path to the reporting demo CSVs. - - The bundle syncs the whole repo into the workspace, so ``demos/data/reporting`` - sits at a stable path relative to this file. Overridable via - ``IMPULSE_E2E_DATA_DIR`` if the layout differs. - """ - override = os.environ.get("IMPULSE_E2E_DATA_DIR") - if override: - return override - here = os.path.dirname(os.path.abspath(__file__)) - repo_root = here[: here.find("tests")] - return os.path.join(repo_root, "demos", "data", "reporting") +def source_schema() -> str: + """Fully qualified schema with the silver test data (read-only).""" + return f"{os.environ['IMPULSE_E2E_CATALOG']}.{os.environ['IMPULSE_E2E_SOURCE_SCHEMA']}" diff --git a/tests/e2e/report_pipeline_e2e_test.py b/tests/e2e/report_pipeline_e2e_test.py index a0aa5ff5..2dcb1fcd 100644 --- a/tests/e2e/report_pipeline_e2e_test.py +++ b/tests/e2e/report_pipeline_e2e_test.py @@ -1,23 +1,6 @@ # pylint: disable=missing-function-docstring -"""End-to-end report pipeline against a real Databricks workspace. +"""End-to-end report pipeline on Databricks: silver tables -> report -> gold tables.""" -Runs inside a serverless job (see ``databricks.yml``). Exercises the whole -library path on real Unity Catalog + serverless Spark that the local-Spark unit -suite can only mock: - -1. Load the Seat Leon reporting demo CSVs into silver Delta tables in an - **ephemeral** UC schema (auto-dropped after the test). -2. Build a ``Report`` with a ``UnitySink`` pointing at that schema, defining a - ``BasicEvent`` (RPM > 2000) and a ``HistogramDuration`` over ``Engine RPM`` - — the same shape as ``demos/getting_started.ipynb``. -3. ``determine_report()`` → ``persist_results()`` **twice**, so the second write - goes through the incremental Delta ``MERGE`` path on real serverless compute. -4. Assert the gold histogram-fact table holds real, non-zero values (not just - row counts), mirroring - ``tests/impulse_reporting/integration/string_container_id_report_test.py``. -""" - -import pandas as pd import pyspark.sql.functions as F import pytest @@ -26,41 +9,18 @@ from impulse_reporting.core.report import Report from impulse_reporting.events.basic_event import BasicEvent -# Silver tables loaded from demos/data/reporting. `channels` is RAW point data -# (container_id, channel_id, timestamp, value); metadata is narrow/EAV. -_SILVER_TABLES = ( - "container_metrics", - "container_tags", - "channel_metrics", - "channel_tags", - "channels", -) - - -def _load_silver(spark, schema_full_name: str, csv_dir: str) -> None: - """Load the demo CSVs into ``.
`` Delta tables.""" - for table in _SILVER_TABLES: - pdf = pd.read_csv(f"{csv_dir}/{table}.csv") - ( - spark.createDataFrame(pdf) - .write.format("delta") - .mode("overwrite") - .saveAsTable(f"{schema_full_name}.{table}") - ) - @pytest.mark.e2e -def test_report_pipeline_end_to_end(spark, ws, e2e_schema, reporting_demo_dir): - schema = e2e_schema.full_name # impulse_tests. - _load_silver(spark, schema, reporting_demo_dir) +def test_report_pipeline_end_to_end(spark, ws, e2e_schema, source_schema): + schema = e2e_schema.full_name config = { "source": { - "container_metrics_table": f"{schema}.container_metrics", - "container_tags_table": f"{schema}.container_tags", - "channel_metrics_table": f"{schema}.channel_metrics", - "channel_tags_table": f"{schema}.channel_tags", - "channels_uri": f"{schema}.channels", + "container_metrics_table": f"{source_schema}.container_metrics", + "container_tags_table": f"{source_schema}.container_tags", + "channel_metrics_table": f"{source_schema}.channel_metrics", + "channel_tags_table": f"{source_schema}.channel_tags", + "channels_uri": f"{source_schema}.channels", }, "unity_sink": { "catalog": e2e_schema.catalog_name, @@ -91,13 +51,16 @@ def test_report_pipeline_end_to_end(spark, ws, e2e_schema, reporting_demo_dir): ) report.add_page(page) - report.determine_report() - report.persist_results() - # Second persist merges into the existing gold tables (incremental Delta MERGE). - report.persist_results() + histogram_fact_table = f"{schema}.eval_histogram_fact" + + report.run() + rows_after_first_run = spark.read.table(histogram_fact_table).count() - histogram_fact = spark.read.table(f"{schema}.eval_histogram_fact") + # A second run must update the gold tables in place, not append. + report.run() + histogram_fact = spark.read.table(histogram_fact_table) - assert histogram_fact.count() > 0, "histogram fact table is empty" + assert rows_after_first_run > 0, "histogram fact table is empty" + assert histogram_fact.count() == rows_after_first_run, "second run duplicated histogram rows" total_hist_value = histogram_fact.agg(F.sum("hist_value")).first()[0] assert total_hist_value is not None and total_hist_value > 0, total_hist_value diff --git a/tests/e2e/run_in_job.py b/tests/e2e/run_in_job.py index b24be100..15116019 100644 --- a/tests/e2e/run_in_job.py +++ b/tests/e2e/run_in_job.py @@ -1,15 +1,4 @@ -"""Entry point for the serverless e2e job (see ``resources/e2e_job.yml``). - -Databricks Asset Bundles sync the whole repo into the workspace, so this file -and the ``tests/e2e`` suite it runs sit next to each other at a stable path. -The job runs it as a ``spark_python_task``; a non-zero exit fails the task, -which fails ``databricks bundle run`` and therefore the CI job. Pytest output -(including assertion detail) is streamed into the job/run logs. - -Args (positional, passed by the job): - --catalog UC catalog for the ephemeral test schemas. Exported as - ``IMPULSE_E2E_CATALOG`` for the conftest fixtures. -""" +"""Entry point of the e2e job: runs the tests/e2e suite with pytest.""" import argparse import os @@ -20,32 +9,29 @@ def main() -> int: parser = argparse.ArgumentParser() - parser.add_argument("--catalog", default=None) + parser.add_argument("--catalog", required=True) + parser.add_argument("--source-schema", required=True) + # Passed in because `__file__` is not defined in serverless Python tasks. + parser.add_argument("--repo-root", required=True) args, _ = parser.parse_known_args() - if args.catalog: - os.environ["IMPULSE_E2E_CATALOG"] = args.catalog - - # Repo root = two levels up from tests/e2e/run_in_job.py. Run pytest from - # there so the tests/ package layout resolves as it does locally. - here = os.path.dirname(os.path.abspath(__file__)) - repo_root = os.path.abspath(os.path.join(here, "..", "..")) - os.chdir(repo_root) - - pytest_args = [ - "tests/e2e", - "-m", - "e2e", - "-v", - "-p", - "no:cacheprovider", - # This suite is not about coverage; the local suite owns that. - "--no-cov", - # Drop the repo's default coverage/junit addopts (they assume the local - # env and a local junit path). - "-o", - "addopts=", - ] - return pytest.main(pytest_args) + os.environ["IMPULSE_E2E_CATALOG"] = args.catalog + os.environ["IMPULSE_E2E_SOURCE_SCHEMA"] = args.source_schema + os.chdir(args.repo_root) + + return pytest.main( + [ + "tests/e2e", + "-m", + "e2e", + "-v", + "-p", + "no:cacheprovider", + "--no-cov", + # Drop the repo's default coverage/junit options. + "-o", + "addopts=", + ] + ) if __name__ == "__main__": diff --git a/uv.lock b/uv.lock index 7e4ab952..949e0cb3 100644 --- a/uv.lock +++ 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size = 6088770, upload-time = "2026-10-09T16:09:01.04Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b4/4c/b8474b02b572d9c7a2903e364335d566d52b6128b834b92a7cdfe5597823/sqlglot-30.22.0-py3-none-any.whl", hash = "sha256:90aa461490fcd95d14ec3842a97506ae20f6d3e9313307ad31be793d479cca65", size = 777816, upload-time = "2026-10-09T16:08:59.07Z" }, +] + [[package]] name = "tomli" version = "2.4.1" From 1fc70cb3637b71e4971f07dd0c129a02a70705f8 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 15:48:08 +0200 Subject: [PATCH 06/18] feat(e2e): replace pytester-based suite with explicit Databricks job steps and golden-file validation MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove `databricks-labs-pytester` dependency and the `e2e` pytest marker. - Replace `tests/e2e/run_in_job.py` and `tests/e2e/conftest.py` with explicit job tasks: `setup_schema.py`, `run_report.py`, `validate.py`, `teardown.py`, `fail_on_error.py`. - Split `resources/e2e_job.yml` into setup → run_report → run_report_rerun → validate → teardown, asserting idempotency across two report runs and comparing gold tables to expected CSVs. - Add `tests/e2e/expected/histogram_fact.csv` and `event_instance_fact.csv` as golden files. - Change `source_schema` bundle default to `default`. --- databricks.yml | 2 +- pyproject.toml | 8 - resources/e2e_job.yml | 62 +- tests/conftest.py | 7 - tests/e2e/conftest.py | 46 - tests/e2e/expected/event_instance_fact.csv | 2975 ++++++++++++++++++++ tests/e2e/expected/histogram_fact.csv | 811 ++++++ tests/e2e/fail_on_error.py | 3 + tests/e2e/report_pipeline_e2e_test.py | 66 - tests/e2e/run_in_job.py | 38 - tests/e2e/run_report.py | 58 + tests/e2e/setup_schema.py | 12 + tests/e2e/teardown.py | 16 + tests/e2e/validate.py | 76 + 14 files changed, 4005 insertions(+), 175 deletions(-) delete mode 100644 tests/e2e/conftest.py create mode 100644 tests/e2e/expected/event_instance_fact.csv create mode 100644 tests/e2e/expected/histogram_fact.csv create mode 100644 tests/e2e/fail_on_error.py delete mode 100644 tests/e2e/report_pipeline_e2e_test.py delete mode 100644 tests/e2e/run_in_job.py create mode 100644 tests/e2e/run_report.py create mode 100644 tests/e2e/setup_schema.py create mode 100644 tests/e2e/teardown.py create mode 100644 tests/e2e/validate.py diff --git a/databricks.yml b/databricks.yml index ebb1db5a..be5ec6bd 100644 --- a/databricks.yml +++ b/databricks.yml @@ -18,7 +18,7 @@ variables: default: maxim_catalog source_schema: description: Schema under `catalog` with the silver test data (read-only). - default: impulse_v4_demo + default: default targets: # Workspace host and auth come from the environment. diff --git a/pyproject.toml b/pyproject.toml index be46d3f9..9cfc03a1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,11 +56,6 @@ dev = [ "black==26.3.1" ] -# End-to-end suite (tests/e2e); runs on Databricks, which provides pyspark/delta. -e2e = [ - "databricks-labs-pytester==0.7.4", -] - # Setuptools options [tool.setuptools.dynamic] version = {file = ["VERSION"]} @@ -74,9 +69,6 @@ exclude = ["src/*/demos"] pythonpath = [".", "src/impulse_reporting"] testpaths = ["tests"] addopts = "--junitxml=test-results.xml --cov=src --cov-report=html --cov-report=xml:coverage.xml --cov-report=term-missing" -markers = [ - "e2e: end-to-end tests that run on Databricks.", -] # Default dependency groups [tool.uv] diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 4eaa5ed3..5b68e32b 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -6,17 +6,62 @@ resources: max_concurrent_runs: 1 tasks: - - task_key: run_e2e + - task_key: setup + environment_key: e2e_env + disable_auto_optimization: true + spark_python_task: + python_file: ../tests/e2e/setup_schema.py + parameters: ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}"] + + - task_key: run_report + depends_on: [{task_key: setup}] + environment_key: e2e_env + disable_auto_optimization: true spark_python_task: - python_file: ../tests/e2e/run_in_job.py + python_file: ../tests/e2e/run_report.py + parameters: &report_params + ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}", + "--source-schema", "${var.source_schema}"] + + # Second run of the same report: gold tables must be updated in place. + - task_key: run_report_rerun + depends_on: [{task_key: run_report}] + environment_key: e2e_env + disable_auto_optimization: true + spark_python_task: + python_file: ../tests/e2e/run_report.py + parameters: *report_params + + - task_key: validate + depends_on: [{task_key: run_report_rerun}] + environment_key: e2e_env + disable_auto_optimization: true + spark_python_task: + python_file: ../tests/e2e/validate.py parameters: - - "--catalog" - - ${var.catalog} - - "--source-schema" - - ${var.source_schema} - - "--repo-root" - - ${workspace.file_path} + ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}", + "--expected-dir", "${workspace.file_path}/tests/e2e/expected", + "--actual-dir", "${workspace.root_path}/actual"] + + - task_key: teardown + depends_on: &all_steps + [{task_key: setup}, {task_key: run_report}, {task_key: run_report_rerun}, {task_key: validate}] + run_if: ALL_DONE + disable_auto_optimization: true environment_key: e2e_env + spark_python_task: + python_file: ../tests/e2e/teardown.py + parameters: ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}"] + + # Fails the run if any step failed; without it the succeeding teardown + # would mark the run "succeeded with failures". + - task_key: fail_on_error + depends_on: *all_steps + run_if: AT_LEAST_ONE_FAILED + disable_auto_optimization: true + environment_key: e2e_env + spark_python_task: + python_file: ../tests/e2e/fail_on_error.py environments: - environment_key: e2e_env @@ -25,4 +70,3 @@ resources: environment_version: "5" dependencies: - ../dist/*.whl - - databricks-labs-pytester==0.7.4 diff --git a/tests/conftest.py b/tests/conftest.py index a3de28ce..74afafd9 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -13,13 +13,6 @@ import impulse_query_engine.schema as S from impulse_query_engine.measurement_db import MeasurementDB, MeasurementDBConfig -# tests/e2e runs only on Databricks; skip it where its plugin is not installed. -collect_ignore_glob = [] -try: - import databricks.labs.pytester # noqa: F401 -except ImportError: - collect_ignore_glob.append("e2e/*") - @pytest.fixture(scope="session") def spark(tmp_path_factory, worker_id) -> SparkSession: diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py deleted file mode 100644 index beee26f7..00000000 --- a/tests/e2e/conftest.py +++ /dev/null @@ -1,46 +0,0 @@ -"""Fixtures for the e2e suite, which runs inside a serverless Databricks job. - -Overrides pytester's ``ws``, ``spark`` and ``sql_backend`` fixtures to use the -job's own session and credentials; the other pytester fixtures (e.g. -``make_schema``) are reused as-is. -""" - -import os - -import pytest - -# Workspace packages are imported inside the fixtures: pytest imports this file -# even where they are not installed and tests/e2e is skipped. - - -@pytest.fixture -def ws(): - from databricks.sdk import WorkspaceClient - - return WorkspaceClient() - - -@pytest.fixture -def spark(): - from pyspark.sql import SparkSession - - return SparkSession.builder.getOrCreate() - - -@pytest.fixture -def sql_backend(spark): - from databricks.labs.lsql.backends import RuntimeBackend - - return RuntimeBackend() - - -@pytest.fixture -def e2e_schema(make_schema): - """Ephemeral schema for the test's output, dropped after the test.""" - return make_schema(catalog_name=os.environ["IMPULSE_E2E_CATALOG"]) - - -@pytest.fixture -def source_schema() -> str: - """Fully qualified schema with the silver test data (read-only).""" - return f"{os.environ['IMPULSE_E2E_CATALOG']}.{os.environ['IMPULSE_E2E_SOURCE_SCHEMA']}" diff --git a/tests/e2e/expected/event_instance_fact.csv 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b/tests/e2e/report_pipeline_e2e_test.py deleted file mode 100644 index 2dcb1fcd..00000000 --- a/tests/e2e/report_pipeline_e2e_test.py +++ /dev/null @@ -1,66 +0,0 @@ -# pylint: disable=missing-function-docstring -"""End-to-end report pipeline on Databricks: silver tables -> report -> gold tables.""" - -import pyspark.sql.functions as F -import pytest - -from impulse_reporting.aggregations.histogram import HistogramDuration -from impulse_reporting.core.page import Page -from impulse_reporting.core.report import Report -from impulse_reporting.events.basic_event import BasicEvent - - -@pytest.mark.e2e -def test_report_pipeline_end_to_end(spark, ws, e2e_schema, source_schema): - schema = e2e_schema.full_name - - config = { - "source": { - "container_metrics_table": f"{source_schema}.container_metrics", - "container_tags_table": f"{source_schema}.container_tags", - "channel_metrics_table": f"{source_schema}.channel_metrics", - "channel_tags_table": f"{source_schema}.channel_tags", - "channels_uri": f"{source_schema}.channels", - }, - "unity_sink": { - "catalog": e2e_schema.catalog_name, - "schema": e2e_schema.name, - "table_prefix": "eval", - }, - "query_engine": {"solver": "DefaultSolver", "data_type": "RAW"}, - "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], - } - - report = Report(name="e2e_report", spark=spark, workspace_client=ws, config=config) - eng_rpm = report.get_db().query.channel(channel_name="Engine RPM", brand="Seat", model="Leon") - - high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") - report.add_event(high_rpm) - - page = Page(page_number=1) - page.add_aggregation( - HistogramDuration( - name="rpm_distribution", - base_expr=eng_rpm, - bins=[float(x) for x in range(0, 5001, 500)], - event=high_rpm, - channel_name="Engine RPM", - bins_unit="rpm", - values_unit="s", - ) - ) - report.add_page(page) - - histogram_fact_table = f"{schema}.eval_histogram_fact" - - report.run() - rows_after_first_run = spark.read.table(histogram_fact_table).count() - - # A second run must update the gold tables in place, not append. - report.run() - histogram_fact = spark.read.table(histogram_fact_table) - - assert rows_after_first_run > 0, "histogram fact table is empty" - assert histogram_fact.count() == rows_after_first_run, "second run duplicated histogram rows" - total_hist_value = histogram_fact.agg(F.sum("hist_value")).first()[0] - assert total_hist_value is not None and total_hist_value > 0, total_hist_value diff --git a/tests/e2e/run_in_job.py b/tests/e2e/run_in_job.py deleted file mode 100644 index 15116019..00000000 --- a/tests/e2e/run_in_job.py +++ /dev/null @@ -1,38 +0,0 @@ -"""Entry point of the e2e job: runs the tests/e2e suite with pytest.""" - -import argparse -import os -import sys - -import pytest - - -def main() -> int: - parser = argparse.ArgumentParser() - parser.add_argument("--catalog", required=True) - parser.add_argument("--source-schema", required=True) - # Passed in because `__file__` is not defined in serverless Python tasks. - parser.add_argument("--repo-root", required=True) - args, _ = parser.parse_known_args() - os.environ["IMPULSE_E2E_CATALOG"] = args.catalog - os.environ["IMPULSE_E2E_SOURCE_SCHEMA"] = args.source_schema - os.chdir(args.repo_root) - - return pytest.main( - [ - "tests/e2e", - "-m", - "e2e", - "-v", - "-p", - "no:cacheprovider", - "--no-cov", - # Drop the repo's default coverage/junit options. - "-o", - "addopts=", - ] - ) - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/tests/e2e/run_report.py b/tests/e2e/run_report.py new file mode 100644 index 00000000..bed6f1db --- /dev/null +++ b/tests/e2e/run_report.py @@ -0,0 +1,58 @@ +"""e2e step: run a report from the silver tables into the test schema.""" + +import argparse + +from databricks.sdk import WorkspaceClient +from pyspark.sql import SparkSession + +from impulse_reporting.aggregations.histogram import HistogramDuration +from impulse_reporting.core.page import Page +from impulse_reporting.core.report import Report +from impulse_reporting.events.basic_event import BasicEvent + +parser = argparse.ArgumentParser() +parser.add_argument("--catalog", required=True) +parser.add_argument("--schema", required=True) +parser.add_argument("--source-schema", required=True) +args = parser.parse_args() + +source = f"{args.catalog}.{args.source_schema}" +config = { + "source": { + "container_metrics_table": f"{source}.container_metrics", + "container_tags_table": f"{source}.container_tags", + "channel_metrics_table": f"{source}.channel_metrics", + "channel_tags_table": f"{source}.channel_tags", + "channels_uri": f"{source}.channels", + }, + "unity_sink": {"catalog": args.catalog, "schema": args.schema, "table_prefix": "eval"}, + "query_engine": {"solver": "DefaultSolver", "data_type": "RLE"}, + "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], +} + +report = Report( + name="e2e_report", + spark=SparkSession.builder.getOrCreate(), + workspace_client=WorkspaceClient(), + config=config, +) +eng_rpm = report.get_db().query.channel(channel_name="Engine RPM", brand="Seat", model="Leon") + +high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") +report.add_event(high_rpm) + +page = Page(page_number=1) +page.add_aggregation( + HistogramDuration( + name="rpm_distribution", + base_expr=eng_rpm, + bins=[float(x) for x in range(0, 5001, 500)], + event=high_rpm, + channel_name="Engine RPM", + bins_unit="rpm", + values_unit="s", + ) +) +report.add_page(page) + +report.run() diff --git a/tests/e2e/setup_schema.py b/tests/e2e/setup_schema.py new file mode 100644 index 00000000..b466f74c --- /dev/null +++ b/tests/e2e/setup_schema.py @@ -0,0 +1,12 @@ +"""e2e step: create the schema the report writes to.""" + +import argparse + +from pyspark.sql import SparkSession + +parser = argparse.ArgumentParser() +parser.add_argument("--catalog", required=True) +parser.add_argument("--schema", required=True) +args = parser.parse_args() + +SparkSession.builder.getOrCreate().sql(f"CREATE SCHEMA `{args.catalog}`.`{args.schema}`") diff --git a/tests/e2e/teardown.py b/tests/e2e/teardown.py new file mode 100644 index 00000000..f851656f --- /dev/null +++ b/tests/e2e/teardown.py @@ -0,0 +1,16 @@ +"""e2e step: drop the test schema.""" + +import argparse + +from pyspark.sql import SparkSession + +parser = argparse.ArgumentParser() +parser.add_argument("--catalog", required=True) +parser.add_argument("--schema", required=True) +args = parser.parse_args() + +if not args.schema.startswith("e2e_"): + raise ValueError(f"Refusing to drop non-e2e schema {args.schema!r}") +SparkSession.builder.getOrCreate().sql( + f"DROP SCHEMA IF EXISTS `{args.catalog}`.`{args.schema}` CASCADE" +) diff --git a/tests/e2e/validate.py b/tests/e2e/validate.py new file mode 100644 index 00000000..48e71002 --- /dev/null +++ b/tests/e2e/validate.py @@ -0,0 +1,76 @@ +"""e2e step: compare the report's gold tables with the expected rows. + +On a mismatch the actual rows are uploaded as CSV to --actual-dir, so the +expected files can be refreshed from them. +""" + +import argparse +import io +import os + +import pandas as pd +import pyspark.sql.functions as F +from databricks.sdk import WorkspaceClient +from databricks.sdk.service.workspace import ImportFormat +from pyspark.sql import SparkSession +from pyspark.testing import assertDataFrameEqual + +# Gold tables to compare, without the report's table prefix. +TABLES = ["histogram_fact", "event_instance_fact"] + +parser = argparse.ArgumentParser() +parser.add_argument("--catalog", required=True) +parser.add_argument("--schema", required=True) +parser.add_argument("--expected-dir", required=True) +parser.add_argument("--actual-dir", required=True) +args = parser.parse_args() + +spark = SparkSession.builder.getOrCreate() +ws = WorkspaceClient() +# The workspace API takes paths without the /Workspace mount prefix. +actual_dir = args.actual_dir.removeprefix("/Workspace") + + +def as_strings(df): + return df.select([F.col(c).cast("string") for c in df.columns]) + + +def load_expected(path, schema): + # Read as strings and cast in Spark, so nulls and types round-trip exactly. + pdf = pd.read_csv(path, dtype=str, keep_default_na=False).replace({"": None}) + df = spark.createDataFrame(pdf[schema.fieldNames()]) + return df.select([F.col(f.name).cast(f.dataType) for f in schema.fields]) + + +def save_actual(name, df): + ws.workspace.mkdirs(actual_dir) + path = f"{actual_dir}/{name}.csv" + csv = as_strings(df).toPandas().to_csv(index=False) + ws.workspace.upload(path, io.BytesIO(csv.encode()), format=ImportFormat.AUTO, overwrite=True) + return path + + +failures = [] +for name in TABLES: + actual = spark.read.table(f"`{args.catalog}`.`{args.schema}`.eval_{name}") + # Skip bookkeeping columns such as _created_at, which differ per run. + actual = actual.select([c for c in actual.columns if not c.startswith("_")]) + expected_path = os.path.join(args.expected_dir, f"{name}.csv") + + if not os.path.exists(expected_path): + failures.append( + f"{name}: no expected file; actual rows saved to {save_actual(name, actual)}" + ) + continue + + # Column types follow the gold table, which inherits them from the source data. + expected = load_expected(expected_path, actual.schema) + try: + assertDataFrameEqual(actual, expected, rtol=1e-9, maxErrors=10) + print(f"{name}: OK ({actual.count()} rows)") + except AssertionError as e: + print(f"{name}: actual {actual.count()} rows, expected {expected.count()} rows\n{e}") + failures.append(f"{name}: mismatch; actual rows saved to {save_actual(name, actual)}") + +if failures: + raise AssertionError("\n".join(failures)) From abbbb24dde804b2cb34f06f2cd2894b1ab0efdcf Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 16:04:16 +0200 Subject: [PATCH 07/18] chore(deps): remove databricks-labs-pytester and transitive e2e dependencies from uv.lock --- uv.lock | 58 --------------------------------------------------------- 1 file changed, 58 deletions(-) diff --git a/uv.lock b/uv.lock index 949e0cb3..7e4ab952 100644 --- a/uv.lock +++ b/uv.lock @@ -287,9 +287,6 @@ dev = [ { name = "ruff" }, { name = "setuptools" }, ] -e2e = [ - { name = "databricks-labs-pytester" }, -] [package.metadata] requires-dist = [ @@ -319,52 +316,6 @@ dev = [ { name = "ruff", specifier = "==0.9.10" }, { name = "setuptools", specifier = "==75.8.2" }, ] -e2e = [{ name = "databricks-labs-pytester", specifier = "==0.7.4" }] - -[[package]] -name = "databricks-labs-blueprint" -version = "0.12.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "databricks-sdk" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0a/92/c3a15d7d1de5b684408189de899628df9b920a123c7e02a396953de85e2c/databricks_labs_blueprint-0.12.0.tar.gz", hash = "sha256:247c3394c2172c35993041a3c4de4418581b1881a6d8fcbe026ceb287a27c3db", size = 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-wheels = [ - { url = "https://files.pythonhosted.org/packages/ac/08/fc6eaa5d1b7c7cae0029170edd1916f97c430589f5c0f9c3cdec98c2c6f5/databricks_labs_lsql-0.16.0-py3-none-any.whl", hash = "sha256:d3004edd7ac2089156ee24db4bb2f4fce7f49bf45e2a96287d1243ac4e4a9cc0", size = 48054, upload-time = "2025-02-27T18:25:34.159Z" }, -] - -[[package]] -name = "databricks-labs-pytester" -version = "0.7.4" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "databricks-labs-lsql" }, - { name = "databricks-sdk" }, - { name = "pytest" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/80/61/3ef2b750f0a728798d101f4cdafb339b40b8b7a769381dfba7bcdfd16a5b/databricks_labs_pytester-0.7.4.tar.gz", hash = "sha256:bdb03c6e59b54f0dfdfbd8132d8d7c43166269519ac232eba09f6a10821c1940", size = 59533, upload-time = "2025-10-17T08:04:47.64Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ae/78/99d9c808e962d26a42344c13419957e45a70437cf8d81815d20aa6f62beb/databricks_labs_pytester-0.7.4-py3-none-any.whl", hash = "sha256:052dc86f74bae1c9ba0eb4703c9d31ead091ede7f894bfc1bd1db6db3f8ed6c0", size = 50751, upload-time = "2025-10-17T08:04:45.996Z" }, -] [[package]] name = "databricks-sdk" @@ -1163,15 +1114,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" }, ] -[[package]] -name = "sqlglot" -version = "30.22.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/94/e0/db58fbf2527426758dc1e862ce538736978e100e4e78fc9657e9661826ee/sqlglot-30.22.0.tar.gz", hash = "sha256:ec4b83ca8236ea8867f574a382dc15ce35b071c977fecfcc66482d9a3f500661", size = 6088770, upload-time = "2026-10-09T16:09:01.04Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b4/4c/b8474b02b572d9c7a2903e364335d566d52b6128b834b92a7cdfe5597823/sqlglot-30.22.0-py3-none-any.whl", hash = "sha256:90aa461490fcd95d14ec3842a97506ae20f6d3e9313307ad31be793d479cca65", size = 777816, upload-time = "2026-10-09T16:08:59.07Z" }, -] - [[package]] name = "tomli" version = "2.4.1" From faed04827416d35687fcfaf5d3ccf478b10d3917 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 16:16:15 +0200 Subject: [PATCH 08/18] feat(e2e): convert e2e job tasks from spark_python_task to notebook_task - Switch `resources/e2e_job.yml` tasks to `notebook_task` with `base_parameters` instead of `spark_python_task` CLI arguments. - Convert `tests/e2e/*.py` scripts to Databricks notebook format with `dbutils.widgets` parameter access. - Reorder `environment_key` and `disable_auto_optimization` fields for consistency in `e2e_job.yml`. --- resources/e2e_job.yml | 54 +++++++++++++++++++++----------------- tests/e2e/fail_on_error.py | 7 ++++- tests/e2e/run_report.py | 23 +++++++++------- tests/e2e/setup_schema.py | 18 ++++++++----- tests/e2e/teardown.py | 24 +++++++++-------- tests/e2e/validate.py | 36 ++++++++++++++----------- 6 files changed, 94 insertions(+), 68 deletions(-) diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 5b68e32b..a414576a 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -9,59 +9,65 @@ resources: - task_key: setup environment_key: e2e_env disable_auto_optimization: true - spark_python_task: - python_file: ../tests/e2e/setup_schema.py - parameters: ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}"] + notebook_task: + notebook_path: ../tests/e2e/setup_schema.py + base_parameters: + catalog: ${var.catalog} + schema: e2e_{{job.run_id}} - task_key: run_report depends_on: [{task_key: setup}] environment_key: e2e_env disable_auto_optimization: true - spark_python_task: - python_file: ../tests/e2e/run_report.py - parameters: &report_params - ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}", - "--source-schema", "${var.source_schema}"] + notebook_task: + notebook_path: ../tests/e2e/run_report.py + base_parameters: &report_params + catalog: ${var.catalog} + schema: e2e_{{job.run_id}} + source_schema: ${var.source_schema} # Second run of the same report: gold tables must be updated in place. - task_key: run_report_rerun depends_on: [{task_key: run_report}] environment_key: e2e_env disable_auto_optimization: true - spark_python_task: - python_file: ../tests/e2e/run_report.py - parameters: *report_params + notebook_task: + notebook_path: ../tests/e2e/run_report.py + base_parameters: *report_params - task_key: validate depends_on: [{task_key: run_report_rerun}] environment_key: e2e_env disable_auto_optimization: true - spark_python_task: - python_file: ../tests/e2e/validate.py - parameters: - ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}", - "--expected-dir", "${workspace.file_path}/tests/e2e/expected", - "--actual-dir", "${workspace.root_path}/actual"] + notebook_task: + notebook_path: ../tests/e2e/validate.py + base_parameters: + catalog: ${var.catalog} + schema: e2e_{{job.run_id}} + expected_dir: ${workspace.file_path}/tests/e2e/expected + actual_dir: ${workspace.root_path}/actual - task_key: teardown depends_on: &all_steps [{task_key: setup}, {task_key: run_report}, {task_key: run_report_rerun}, {task_key: validate}] run_if: ALL_DONE - disable_auto_optimization: true environment_key: e2e_env - spark_python_task: - python_file: ../tests/e2e/teardown.py - parameters: ["--catalog", "${var.catalog}", "--schema", "e2e_{{job.run_id}}"] + disable_auto_optimization: true + notebook_task: + notebook_path: ../tests/e2e/teardown.py + base_parameters: + catalog: ${var.catalog} + schema: e2e_{{job.run_id}} # Fails the run if any step failed; without it the succeeding teardown # would mark the run "succeeded with failures". - task_key: fail_on_error depends_on: *all_steps run_if: AT_LEAST_ONE_FAILED - disable_auto_optimization: true environment_key: e2e_env - spark_python_task: - python_file: ../tests/e2e/fail_on_error.py + disable_auto_optimization: true + notebook_task: + notebook_path: ../tests/e2e/fail_on_error.py environments: - environment_key: e2e_env diff --git a/tests/e2e/fail_on_error.py b/tests/e2e/fail_on_error.py index 3209ab66..5033e998 100644 --- a/tests/e2e/fail_on_error.py +++ b/tests/e2e/fail_on_error.py @@ -1,3 +1,8 @@ -"""e2e step: fail the run when an earlier step failed.""" +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: fail on error +# MAGIC Runs only when an earlier step failed, and fails the job run. + +# COMMAND ---------- raise RuntimeError("An e2e step failed; see the failed task run.") diff --git a/tests/e2e/run_report.py b/tests/e2e/run_report.py index bed6f1db..620d481b 100644 --- a/tests/e2e/run_report.py +++ b/tests/e2e/run_report.py @@ -1,8 +1,12 @@ -"""e2e step: run a report from the silver tables into the test schema.""" +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: run report +# MAGIC Runs a report on the silver tables and writes the gold tables to the test schema. -import argparse +# COMMAND ---------- from databricks.sdk import WorkspaceClient +from databricks.sdk.runtime import dbutils from pyspark.sql import SparkSession from impulse_reporting.aggregations.histogram import HistogramDuration @@ -10,13 +14,12 @@ from impulse_reporting.core.report import Report from impulse_reporting.events.basic_event import BasicEvent -parser = argparse.ArgumentParser() -parser.add_argument("--catalog", required=True) -parser.add_argument("--schema", required=True) -parser.add_argument("--source-schema", required=True) -args = parser.parse_args() +catalog = dbutils.widgets.get("catalog") +schema = dbutils.widgets.get("schema") +source = f"{catalog}.{dbutils.widgets.get('source_schema')}" + +# COMMAND ---------- -source = f"{args.catalog}.{args.source_schema}" config = { "source": { "container_metrics_table": f"{source}.container_metrics", @@ -25,7 +28,7 @@ "channel_tags_table": f"{source}.channel_tags", "channels_uri": f"{source}.channels", }, - "unity_sink": {"catalog": args.catalog, "schema": args.schema, "table_prefix": "eval"}, + "unity_sink": {"catalog": catalog, "schema": schema, "table_prefix": "eval"}, "query_engine": {"solver": "DefaultSolver", "data_type": "RLE"}, "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], } @@ -55,4 +58,6 @@ ) report.add_page(page) +# COMMAND ---------- + report.run() diff --git a/tests/e2e/setup_schema.py b/tests/e2e/setup_schema.py index b466f74c..9a94f444 100644 --- a/tests/e2e/setup_schema.py +++ b/tests/e2e/setup_schema.py @@ -1,12 +1,16 @@ -"""e2e step: create the schema the report writes to.""" +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: setup +# MAGIC Creates the schema the report writes to. -import argparse +# COMMAND ---------- +from databricks.sdk.runtime import dbutils from pyspark.sql import SparkSession -parser = argparse.ArgumentParser() -parser.add_argument("--catalog", required=True) -parser.add_argument("--schema", required=True) -args = parser.parse_args() +catalog = dbutils.widgets.get("catalog") +schema = dbutils.widgets.get("schema") -SparkSession.builder.getOrCreate().sql(f"CREATE SCHEMA `{args.catalog}`.`{args.schema}`") +# COMMAND ---------- + +SparkSession.builder.getOrCreate().sql(f"CREATE SCHEMA `{catalog}`.`{schema}`") diff --git a/tests/e2e/teardown.py b/tests/e2e/teardown.py index f851656f..45728746 100644 --- a/tests/e2e/teardown.py +++ b/tests/e2e/teardown.py @@ -1,16 +1,18 @@ -"""e2e step: drop the test schema.""" +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: teardown +# MAGIC Drops the test schema. Runs even when an earlier step failed. -import argparse +# COMMAND ---------- +from databricks.sdk.runtime import dbutils from pyspark.sql import SparkSession -parser = argparse.ArgumentParser() -parser.add_argument("--catalog", required=True) -parser.add_argument("--schema", required=True) -args = parser.parse_args() +catalog = dbutils.widgets.get("catalog") +schema = dbutils.widgets.get("schema") -if not args.schema.startswith("e2e_"): - raise ValueError(f"Refusing to drop non-e2e schema {args.schema!r}") -SparkSession.builder.getOrCreate().sql( - f"DROP SCHEMA IF EXISTS `{args.catalog}`.`{args.schema}` CASCADE" -) +# COMMAND ---------- + +if not schema.startswith("e2e_"): + raise ValueError(f"Refusing to drop non-e2e schema {schema!r}") +SparkSession.builder.getOrCreate().sql(f"DROP SCHEMA IF EXISTS `{catalog}`.`{schema}` CASCADE") diff --git a/tests/e2e/validate.py b/tests/e2e/validate.py index 48e71002..fab04089 100644 --- a/tests/e2e/validate.py +++ b/tests/e2e/validate.py @@ -1,34 +1,36 @@ -"""e2e step: compare the report's gold tables with the expected rows. +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: validate +# MAGIC Compares the report's gold tables with the expected rows in `tests/e2e/expected`. +# MAGIC On a mismatch the actual rows are uploaded as CSV to `actual_dir`, so the expected +# MAGIC files can be refreshed from them. -On a mismatch the actual rows are uploaded as CSV to --actual-dir, so the -expected files can be refreshed from them. -""" +# COMMAND ---------- -import argparse import io import os import pandas as pd import pyspark.sql.functions as F from databricks.sdk import WorkspaceClient +from databricks.sdk.runtime import dbutils from databricks.sdk.service.workspace import ImportFormat from pyspark.sql import SparkSession from pyspark.testing import assertDataFrameEqual +catalog = dbutils.widgets.get("catalog") +schema = dbutils.widgets.get("schema") +expected_dir = dbutils.widgets.get("expected_dir") +# The workspace API takes paths without the /Workspace mount prefix. +actual_dir = dbutils.widgets.get("actual_dir").removeprefix("/Workspace") + # Gold tables to compare, without the report's table prefix. TABLES = ["histogram_fact", "event_instance_fact"] -parser = argparse.ArgumentParser() -parser.add_argument("--catalog", required=True) -parser.add_argument("--schema", required=True) -parser.add_argument("--expected-dir", required=True) -parser.add_argument("--actual-dir", required=True) -args = parser.parse_args() - spark = SparkSession.builder.getOrCreate() ws = WorkspaceClient() -# The workspace API takes paths without the /Workspace mount prefix. -actual_dir = args.actual_dir.removeprefix("/Workspace") + +# COMMAND ---------- def as_strings(df): @@ -50,12 +52,14 @@ def save_actual(name, df): return path +# COMMAND ---------- + failures = [] for name in TABLES: - actual = spark.read.table(f"`{args.catalog}`.`{args.schema}`.eval_{name}") + actual = spark.read.table(f"`{catalog}`.`{schema}`.eval_{name}") # Skip bookkeeping columns such as _created_at, which differ per run. actual = actual.select([c for c in actual.columns if not c.startswith("_")]) - expected_path = os.path.join(args.expected_dir, f"{name}.csv") + expected_path = os.path.join(expected_dir, f"{name}.csv") if not os.path.exists(expected_path): failures.append( From 135e166bfdf8c35db4f4a11602d6af4ff6cf4c36 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Fri, 16 Oct 2026 17:12:05 +0200 Subject: [PATCH 09/18] feat(e2e): split e2e job into parallel test notebooks with shared utilities and per-test expected files - Replace the single `run_report`/`validate` flow with four parallel test notebooks: `e2e_rpm_histogram.py`, `e2e_incremental.py`, `e2e_pipeline.py`, `e2e_container_filter.py`. - Add `tests/e2e/e2e_utils.py` with shared helpers for config, report setup, expected/actual comparison, and CSV upload. - Update `resources/e2e_job.yml` to run tests in parallel after setup, with teardown only on success and `fail_on_error` on any failure. - Move expected files under per-test directories (`expected/rpm_histogram/`, etc.) and add `expected/containers.csv` for source-data validation. - Update `setup_schema.py` to validate source containers against `expected/containers.csv` and clean up stale schemas. - Remove `run_report.py` and `validate.py`. --- resources/e2e_job.yml | 69 +++++----- tests/e2e/README.md | 38 ++++++ tests/e2e/e2e_container_filter.py | 29 ++++ tests/e2e/e2e_incremental.py | 50 +++++++ tests/e2e/e2e_pipeline.py | 54 ++++++++ tests/e2e/e2e_rpm_histogram.py | 19 +++ tests/e2e/e2e_utils.py | 129 ++++++++++++++++++ tests/e2e/expected/containers.csv | 82 +++++++++++ .../event_instance_fact.csv | 0 .../{ => rpm_histogram}/histogram_fact.csv | 0 tests/e2e/run_report.py | 63 --------- tests/e2e/setup_schema.py | 30 +++- tests/e2e/teardown.py | 18 +-- tests/e2e/validate.py | 80 ----------- 14 files changed, 464 insertions(+), 197 deletions(-) create mode 100644 tests/e2e/README.md create mode 100644 tests/e2e/e2e_container_filter.py create mode 100644 tests/e2e/e2e_incremental.py create mode 100644 tests/e2e/e2e_pipeline.py create mode 100644 tests/e2e/e2e_rpm_histogram.py create mode 100644 tests/e2e/e2e_utils.py create mode 100644 tests/e2e/expected/containers.csv rename tests/e2e/expected/{ => rpm_histogram}/event_instance_fact.csv (100%) rename tests/e2e/expected/{ => rpm_histogram}/histogram_fact.csv (100%) delete mode 100644 tests/e2e/run_report.py delete mode 100644 tests/e2e/validate.py diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index a414576a..812c4c02 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -11,63 +11,58 @@ resources: disable_auto_optimization: true notebook_task: notebook_path: ../tests/e2e/setup_schema.py - base_parameters: + base_parameters: ¶ms catalog: ${var.catalog} schema: e2e_{{job.run_id}} + source_schema: ${var.source_schema} + # Each test writes its tables with this prefix and reads expected//. + prefix: "{{task.name}}" + expected_dir: ${workspace.file_path}/tests/e2e/expected + actual_dir: ${workspace.root_path}/actual - - task_key: run_report + # The tests run in parallel. + - task_key: rpm_histogram + environment_key: e2e_env + disable_auto_optimization: true depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_rpm_histogram.py, base_parameters: *params} + + - task_key: incremental environment_key: e2e_env disable_auto_optimization: true - notebook_task: - notebook_path: ../tests/e2e/run_report.py - base_parameters: &report_params - catalog: ${var.catalog} - schema: e2e_{{job.run_id}} - source_schema: ${var.source_schema} + depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_incremental.py, base_parameters: *params} - # Second run of the same report: gold tables must be updated in place. - - task_key: run_report_rerun - depends_on: [{task_key: run_report}] + - task_key: pipeline environment_key: e2e_env disable_auto_optimization: true - notebook_task: - notebook_path: ../tests/e2e/run_report.py - base_parameters: *report_params + depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_pipeline.py, base_parameters: *params} - - task_key: validate - depends_on: [{task_key: run_report_rerun}] + - task_key: container_filter environment_key: e2e_env disable_auto_optimization: true - notebook_task: - notebook_path: ../tests/e2e/validate.py - base_parameters: - catalog: ${var.catalog} - schema: e2e_{{job.run_id}} - expected_dir: ${workspace.file_path}/tests/e2e/expected - actual_dir: ${workspace.root_path}/actual + depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_container_filter.py, base_parameters: *params} + # Runs only when all tests passed. - task_key: teardown - depends_on: &all_steps - [{task_key: setup}, {task_key: run_report}, {task_key: run_report_rerun}, {task_key: validate}] - run_if: ALL_DONE environment_key: e2e_env disable_auto_optimization: true - notebook_task: - notebook_path: ../tests/e2e/teardown.py - base_parameters: - catalog: ${var.catalog} - schema: e2e_{{job.run_id}} + depends_on: + - {task_key: rpm_histogram} + - {task_key: incremental} + - {task_key: pipeline} + - {task_key: container_filter} + notebook_task: {notebook_path: ../tests/e2e/teardown.py, base_parameters: *params} - # Fails the run if any step failed; without it the succeeding teardown - # would mark the run "succeeded with failures". + # Fails the run when setup or a test failed. - task_key: fail_on_error - depends_on: *all_steps - run_if: AT_LEAST_ONE_FAILED environment_key: e2e_env disable_auto_optimization: true - notebook_task: - notebook_path: ../tests/e2e/fail_on_error.py + depends_on: [{task_key: setup}, {task_key: rpm_histogram}, {task_key: incremental}, {task_key: pipeline}, {task_key: container_filter}] + run_if: AT_LEAST_ONE_FAILED + notebook_task: {notebook_path: ../tests/e2e/fail_on_error.py} environments: - environment_key: e2e_env diff --git a/tests/e2e/README.md b/tests/e2e/README.md new file mode 100644 index 00000000..e1d66f63 --- /dev/null +++ b/tests/e2e/README.md @@ -0,0 +1,38 @@ +# End-to-end tests + +Runs an Impulse report on Databricks serverless compute and compares the results with the expected files in `expected/`. + +## Job + +The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this folder: + +1. `setup_schema`: creates a temporary schema `e2e_`. +2. `run_report`: runs the report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`) and writes the gold tables to the temporary schema. +3. `run_report_rerun`: runs the same report again. The gold tables must be updated in place. +4. `validate`: compares the source containers and the gold tables with `expected/`. +5. `teardown`: drops the temporary schema. Always runs. +6. `fail_on_error`: fails the job run if any earlier task failed. + +## Running + +```bash +make test-e2e +``` + +This deploys the bundle (`databricks.yml`) and runs the job. It needs the Databricks CLI and workspace authentication. CI runs it nightly via `.github/workflows/e2e.yml`. + +## Input data + +The report reads the silver tables in `.` (bundle variables in `databricks.yml`). They were created from MF4 files with the [Impulse MF4 ingest solution accelerator](https://github.com/databricks-industry-solutions/impulse-mf4-ingest). + +`expected/containers.csv` lists the MF4 file (`experiment_id` folder and `filename`) behind each container id. Use it to rebuild the silver layer from scratch with the accelerator. If the rebuild assigns different container ids, refresh the expected files. + +## Expected results + +| File | Content | +|---|---| +| `containers.csv` | Container id to MF4 file mapping of the source data | +| `histogram_fact.csv` | Gold histogram rows | +| `event_instance_fact.csv` | Gold event instance rows | + +To refresh them after an intended change, run the job. On a mismatch, `validate` uploads the actual rows as CSV to `/actual/` and logs the path. Review them, then copy them into `expected/`. diff --git a/tests/e2e/e2e_container_filter.py b/tests/e2e/e2e_container_filter.py new file mode 100644 index 00000000..720a9e72 --- /dev/null +++ b/tests/e2e/e2e_container_filter.py @@ -0,0 +1,29 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: container filter +# MAGIC Runs the baseline report on the containers of `experiment_1` only. The result must equal +# MAGIC those containers' rows in `expected/rpm_histogram`. + +# COMMAND ---------- + +import os + +import pandas as pd +import pyspark.sql.functions as F +from e2e_utils import add_rpm_histogram, check, config, expected, gold, new_report, params + +p = params() +experiment_filter = {"tag_name": "experiment_id", "comparator": "==", "value": "experiment_1"} +report = new_report(config(p, container_filters={"tag_filters": [[experiment_filter]]})) +add_rpm_histogram(report) +report.run() + +# COMMAND ---------- + +containers = pd.read_csv(os.path.join(p.expected_dir, "containers.csv")) +ids = containers.loc[containers.experiment_id == "experiment_1", "container_id"].tolist() + +for table in ["histogram_fact", "event_instance_fact"]: + actual = gold(p, table) + rows = expected(p, table, actual.schema, test="rpm_histogram") + check(p, table, actual, rows.where(F.col("container_id").isin(ids))) diff --git a/tests/e2e/e2e_incremental.py b/tests/e2e/e2e_incremental.py new file mode 100644 index 00000000..456e1359 --- /dev/null +++ b/tests/e2e/e2e_incremental.py @@ -0,0 +1,50 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: incremental +# MAGIC Loads the source containers into a copy of the silver tables in two steps and runs the +# MAGIC baseline report incrementally after each, in batches of 15 containers. The result must +# MAGIC equal the full run in `expected/rpm_histogram`. + +# COMMAND ---------- + +from e2e_utils import ( + SILVER_TABLES, + add_rpm_histogram, + check, + config, + expected, + gold, + new_report, + params, + spark, +) + +p = params() +silver = f"{p.catalog}.{p.schema}.{p.prefix}_src_" +for table in SILVER_TABLES: + spark.sql(f"CREATE TABLE {silver}{table} AS SELECT * FROM {p.source}{table} WHERE false") + +report = new_report( + config( + p, + source=silver, + incremental={"enabled": True}, + query_engine={"max_containers_per_batch": 15}, + ) +) +add_rpm_histogram(report) + +# COMMAND ---------- + +for containers in ["container_id <= 40", "container_id > 40"]: + for table in SILVER_TABLES: + spark.sql( + f"INSERT INTO {silver}{table} SELECT * FROM {p.source}{table} WHERE {containers}" + ) + report.run() + +# COMMAND ---------- + +for table in ["histogram_fact", "event_instance_fact"]: + actual = gold(p, table) + check(p, table, actual, expected(p, table, actual.schema, test="rpm_histogram")) diff --git a/tests/e2e/e2e_pipeline.py b/tests/e2e/e2e_pipeline.py new file mode 100644 index 00000000..c9a82593 --- /dev/null +++ b/tests/e2e/e2e_pipeline.py @@ -0,0 +1,54 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: pipeline +# MAGIC Adds a container event, per-container statistics and an RPM x speed heatmap to the +# MAGIC baseline report. + +# COMMAND ---------- + +from e2e_utils import add_rpm_histogram, channel, check, config, gold, new_report, params + +from impulse_reporting.aggregations.histogram2d import Histogram2DDuration +from impulse_reporting.aggregations.stats_aggregator import StatsAggregator +from impulse_reporting.core.page import Page +from impulse_reporting.events.container_event import ContainerEvent + +p = params() +report = new_report(config(p)) +high_rpm = add_rpm_histogram(report) + +names = ["Engine RPM", "Vehicle Speed Sensor", "Engine Coolant Temperature"] +rpm, speed, coolant = (channel(report, name) for name in names) +container = ContainerEvent(name="container", desc="Whole measurement") +report.add_event(container) + +page = Page(page_number=2) +page.add_aggregation( + StatsAggregator( + name="container_stats", + input_expressions=[rpm, speed, coolant], + channel_names=names, + statistics=["min", "mean", "max"], + event=container, + ) +) +page.add_aggregation( + Histogram2DDuration( + name="rpm_speed", + x_expr=rpm, + y_expr=speed, + x_bins=[float(x) for x in range(2000, 5001, 500)], + y_bins=[float(x) for x in range(0, 201, 20)], + event=high_rpm, + x_channel_name="Engine RPM", + y_channel_name="Vehicle Speed Sensor", + values_unit="s", + ) +) +report.add_page(page) +report.run() + +# COMMAND ---------- + +for table in ["stats_aggregator_fact", "histogram2d_fact"]: + check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_rpm_histogram.py b/tests/e2e/e2e_rpm_histogram.py new file mode 100644 index 00000000..50b59c30 --- /dev/null +++ b/tests/e2e/e2e_rpm_histogram.py @@ -0,0 +1,19 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: RPM histogram +# MAGIC Runs the baseline report twice. The second run must update the gold tables in place. + +# COMMAND ---------- + +from e2e_utils import add_rpm_histogram, check, config, gold, new_report, params + +p = params() +report = new_report(config(p)) +add_rpm_histogram(report) +report.run() +report.run() + +# COMMAND ---------- + +for table in ["histogram_fact", "event_instance_fact"]: + check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py new file mode 100644 index 00000000..8ad2ca41 --- /dev/null +++ b/tests/e2e/e2e_utils.py @@ -0,0 +1,129 @@ +"""Shared helpers for the e2e notebooks.""" + +import io +import os +from types import SimpleNamespace + +import pandas as pd +import pyspark.sql.functions as F +from databricks.sdk import WorkspaceClient +from databricks.sdk.runtime import dbutils +from databricks.sdk.service.workspace import ImportFormat +from pyspark.sql import SparkSession +from pyspark.testing import assertDataFrameEqual + +from impulse_reporting.aggregations.histogram import HistogramDuration +from impulse_reporting.core.page import Page +from impulse_reporting.core.report import Report +from impulse_reporting.events.basic_event import BasicEvent + +SILVER_TABLES = [ + "container_metrics", + "container_tags", + "channel_metrics", + "channel_tags", + "channels", +] + +spark = SparkSession.builder.getOrCreate() +ws = WorkspaceClient() + + +def params(): + """Task parameters. `prefix` is the task name and names the test's tables and expected files.""" + names = ["catalog", "schema", "source_schema", "prefix", "expected_dir", "actual_dir"] + p = SimpleNamespace(**{n: dbutils.widgets.get(n) for n in names}) + p.source = f"{p.catalog}.{p.source_schema}." + return p + + +def config(p, source=None, **extra): + """Report config reading `
` and writing `._*`.""" + source = source or p.source + cfg = { + "source": { + "container_metrics_table": f"{source}container_metrics", + "container_tags_table": f"{source}container_tags", + "channel_metrics_table": f"{source}channel_metrics", + "channel_tags_table": f"{source}channel_tags", + "channels_uri": f"{source}channels", + }, + "unity_sink": {"catalog": p.catalog, "schema": p.schema, "table_prefix": p.prefix}, + "query_engine": {"solver": "DefaultSolver", "data_type": "RLE"}, + "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], + } + for key, value in extra.items(): + cfg[key] = {**cfg.get(key, {}), **value} + return cfg + + +def new_report(cfg): + report = Report(name="e2e_report", spark=spark, workspace_client=ws, config=cfg) + # Tests run in parallel in one schema: don't drop the other runs' temp tables. + report._cleanup_temp_tables = lambda: None + return report + + +def channel(report, name): + return report.get_db().query.channel(channel_name=name, brand="Seat", model="Leon") + + +def add_rpm_histogram(report): + """Baseline report: an RPM > 2000 event and the RPM duration histogram within it.""" + eng_rpm = channel(report, "Engine RPM") + high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") + report.add_event(high_rpm) + page = Page(page_number=1) + page.add_aggregation( + HistogramDuration( + name="rpm_distribution", + base_expr=eng_rpm, + bins=[float(x) for x in range(0, 5001, 500)], + event=high_rpm, + channel_name="Engine RPM", + bins_unit="rpm", + values_unit="s", + ) + ) + report.add_page(page) + return high_rpm + + +def gold(p, table): + df = spark.read.table(f"{p.catalog}.{p.schema}.{p.prefix}_{table}") + # Skip bookkeeping columns such as _created_at, which differ per run. + return df.select([c for c in df.columns if not c.startswith("_")]) + + +def expected(p, name, schema, test=None): + """Rows of `expected//.csv` (default test: this one), cast to `schema`.""" + path = os.path.join(p.expected_dir, p.prefix if test is None else test, f"{name}.csv") + # Read as strings and cast in Spark, so nulls and types round-trip exactly. + pdf = pd.read_csv(path, dtype=str, keep_default_na=False).replace({"": None}) + df = spark.createDataFrame(pdf[schema.fieldNames()]) + return df.select([F.col(f.name).cast(f.dataType) for f in schema.fields]) + + +def save_actual(p, name, df): + # The workspace API takes paths without the /Workspace mount prefix. + folder = f"{p.actual_dir.removeprefix('/Workspace')}/{p.prefix}" + ws.workspace.mkdirs(folder) + csv = df.select([F.col(c).cast("string") for c in df.columns]).toPandas().to_csv(index=False) + path = f"{folder}/{name}.csv" + ws.workspace.upload(path, io.BytesIO(csv.encode()), format=ImportFormat.AUTO, overwrite=True) + return path + + +def check(p, name, actual, expected_rows=None): + """Compare `actual` with `expected_rows` (default: this test's expected file). + + On a mismatch the actual rows are uploaded as CSV, so the expected file can be refreshed. + """ + try: + if expected_rows is None: + expected_rows = expected(p, name, actual.schema) + assertDataFrameEqual(actual, expected_rows, rtol=1e-9, maxErrors=10) + except (AssertionError, FileNotFoundError): + print(f"{name}: actual rows saved to {save_actual(p, name, actual)}") + raise + print(f"{name}: OK ({actual.count()} rows)") diff --git a/tests/e2e/expected/containers.csv b/tests/e2e/expected/containers.csv new file mode 100644 index 00000000..ae986e36 --- /dev/null +++ b/tests/e2e/expected/containers.csv @@ -0,0 +1,82 @@ +container_id,experiment_id,filename +1,experiment_5,2018-03-29_Seat_Leon_KA_RT_Stau.mf4 +2,experiment_5,2018-04-23_Seat_Leon_RT_KA_Normal.mf4 +3,experiment_2,2017-07-28_Seat_Leon_KA_RT_Stau.mf4 +4,experiment_5,2018-03-19_Seat_Leon_RT_KA_Normal.mf4 +5,experiment_1,2017-07-13_Seat_Leon_RT_KA_Stau_Messfehler.mf4 +6,experiment_2,2017-07-31_Seat_Leon_RT_KA_Normal.mf4 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+79,experiment_5,2018-04-23_Seat_Leon_KA_KA_Frei.mf4 +80,experiment_3,2018-02-20_Seat_Leon_KA_KA_Frei.mf4 +81,experiment_2,2017-07-14_Seat_Leon_KA_KA_Frei.mf4 diff --git a/tests/e2e/expected/event_instance_fact.csv b/tests/e2e/expected/rpm_histogram/event_instance_fact.csv similarity index 100% rename from tests/e2e/expected/event_instance_fact.csv rename to tests/e2e/expected/rpm_histogram/event_instance_fact.csv diff --git a/tests/e2e/expected/histogram_fact.csv b/tests/e2e/expected/rpm_histogram/histogram_fact.csv similarity index 100% rename from tests/e2e/expected/histogram_fact.csv rename to tests/e2e/expected/rpm_histogram/histogram_fact.csv diff --git a/tests/e2e/run_report.py b/tests/e2e/run_report.py deleted file mode 100644 index 620d481b..00000000 --- a/tests/e2e/run_report.py +++ /dev/null @@ -1,63 +0,0 @@ -# Databricks notebook source -# MAGIC %md -# MAGIC # e2e: run report -# MAGIC Runs a report on the silver tables and writes the gold tables to the test schema. - -# COMMAND ---------- - -from databricks.sdk import WorkspaceClient -from databricks.sdk.runtime import dbutils -from pyspark.sql import SparkSession - -from impulse_reporting.aggregations.histogram import HistogramDuration -from impulse_reporting.core.page import Page -from impulse_reporting.core.report import Report -from impulse_reporting.events.basic_event import BasicEvent - -catalog = dbutils.widgets.get("catalog") -schema = dbutils.widgets.get("schema") -source = f"{catalog}.{dbutils.widgets.get('source_schema')}" - -# COMMAND ---------- - -config = { - "source": { - "container_metrics_table": f"{source}.container_metrics", - "container_tags_table": f"{source}.container_tags", - "channel_metrics_table": f"{source}.channel_metrics", - "channel_tags_table": f"{source}.channel_tags", - "channels_uri": f"{source}.channels", - }, - "unity_sink": {"catalog": catalog, "schema": schema, "table_prefix": "eval"}, - "query_engine": {"solver": "DefaultSolver", "data_type": "RLE"}, - "measurement_dimensions": ["container_id", "vehicle_key", "start_ts", "stop_ts"], -} - -report = Report( - name="e2e_report", - spark=SparkSession.builder.getOrCreate(), - workspace_client=WorkspaceClient(), - config=config, -) -eng_rpm = report.get_db().query.channel(channel_name="Engine RPM", brand="Seat", model="Leon") - -high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") -report.add_event(high_rpm) - -page = Page(page_number=1) -page.add_aggregation( - HistogramDuration( - name="rpm_distribution", - base_expr=eng_rpm, - bins=[float(x) for x in range(0, 5001, 500)], - event=high_rpm, - channel_name="Engine RPM", - bins_unit="rpm", - values_unit="s", - ) -) -report.add_page(page) - -# COMMAND ---------- - -report.run() diff --git a/tests/e2e/setup_schema.py b/tests/e2e/setup_schema.py index 9a94f444..66043619 100644 --- a/tests/e2e/setup_schema.py +++ b/tests/e2e/setup_schema.py @@ -1,16 +1,34 @@ # Databricks notebook source # MAGIC %md # MAGIC # e2e: setup -# MAGIC Creates the schema the report writes to. +# MAGIC Creates the test schema, drops test schemas left over from failed runs, and checks that +# MAGIC the source data still matches `expected/containers.csv`. # COMMAND ---------- -from databricks.sdk.runtime import dbutils -from pyspark.sql import SparkSession +import pyspark.sql.functions as F +from e2e_utils import check, expected, params, spark -catalog = dbutils.widgets.get("catalog") -schema = dbutils.widgets.get("schema") +p = params() +spark.sql(f"CREATE SCHEMA {p.catalog}.{p.schema}") # COMMAND ---------- -SparkSession.builder.getOrCreate().sql(f"CREATE SCHEMA `{catalog}`.`{schema}`") +# Only this job's own schemas: e2e_, owned by the running principal, older than a day. +stale = spark.sql( + f"SELECT schema_name FROM {p.catalog}.information_schema.schemata " + "WHERE schema_name RLIKE '^e2e_[0-9]+$' AND schema_owner = current_user() " + "AND created < current_timestamp() - INTERVAL 1 DAY" +) +for row in stale.collect(): + spark.sql(f"DROP SCHEMA {p.catalog}.{row.schema_name} CASCADE") + +# COMMAND ---------- + +containers = ( + spark.read.table(f"{p.source}container_tags") + .groupBy("container_id") + .pivot("key", ["experiment_id", "filename"]) + .agg(F.first("value")) +) +check(p, "containers", containers, expected(p, "containers", containers.schema, test="")) diff --git a/tests/e2e/teardown.py b/tests/e2e/teardown.py index 45728746..d90427bc 100644 --- a/tests/e2e/teardown.py +++ b/tests/e2e/teardown.py @@ -1,18 +1,14 @@ # Databricks notebook source # MAGIC %md # MAGIC # e2e: teardown -# MAGIC Drops the test schema. Runs even when an earlier step failed. +# MAGIC Drops the test schema. Runs only when all tests passed; otherwise the schema is kept for +# MAGIC debugging and removed by a later setup. # COMMAND ---------- -from databricks.sdk.runtime import dbutils -from pyspark.sql import SparkSession +from e2e_utils import params, spark -catalog = dbutils.widgets.get("catalog") -schema = dbutils.widgets.get("schema") - -# COMMAND ---------- - -if not schema.startswith("e2e_"): - raise ValueError(f"Refusing to drop non-e2e schema {schema!r}") -SparkSession.builder.getOrCreate().sql(f"DROP SCHEMA IF EXISTS `{catalog}`.`{schema}` CASCADE") +p = params() +if not p.schema.startswith("e2e_"): + raise ValueError(f"Refusing to drop non-e2e schema {p.schema!r}") +spark.sql(f"DROP SCHEMA IF EXISTS {p.catalog}.{p.schema} CASCADE") diff --git a/tests/e2e/validate.py b/tests/e2e/validate.py deleted file mode 100644 index fab04089..00000000 --- a/tests/e2e/validate.py +++ /dev/null @@ -1,80 +0,0 @@ -# Databricks notebook source -# MAGIC %md -# MAGIC # e2e: validate -# MAGIC Compares the report's gold tables with the expected rows in `tests/e2e/expected`. -# MAGIC On a mismatch the actual rows are uploaded as CSV to `actual_dir`, so the expected -# MAGIC files can be refreshed from them. - -# COMMAND ---------- - -import io -import os - -import pandas as pd -import pyspark.sql.functions as F -from databricks.sdk import WorkspaceClient -from databricks.sdk.runtime import dbutils -from databricks.sdk.service.workspace import ImportFormat -from pyspark.sql import SparkSession -from pyspark.testing import assertDataFrameEqual - -catalog = dbutils.widgets.get("catalog") -schema = dbutils.widgets.get("schema") -expected_dir = dbutils.widgets.get("expected_dir") -# The workspace API takes paths without the /Workspace mount prefix. -actual_dir = dbutils.widgets.get("actual_dir").removeprefix("/Workspace") - -# Gold tables to compare, without the report's table prefix. -TABLES = ["histogram_fact", "event_instance_fact"] - -spark = SparkSession.builder.getOrCreate() -ws = WorkspaceClient() - -# COMMAND ---------- - - -def as_strings(df): - return df.select([F.col(c).cast("string") for c in df.columns]) - - -def load_expected(path, schema): - # Read as strings and cast in Spark, so nulls and types round-trip exactly. - pdf = pd.read_csv(path, dtype=str, keep_default_na=False).replace({"": None}) - df = spark.createDataFrame(pdf[schema.fieldNames()]) - return df.select([F.col(f.name).cast(f.dataType) for f in schema.fields]) - - -def save_actual(name, df): - ws.workspace.mkdirs(actual_dir) - path = f"{actual_dir}/{name}.csv" - csv = as_strings(df).toPandas().to_csv(index=False) - ws.workspace.upload(path, io.BytesIO(csv.encode()), format=ImportFormat.AUTO, overwrite=True) - return path - - -# COMMAND ---------- - -failures = [] -for name in TABLES: - actual = spark.read.table(f"`{catalog}`.`{schema}`.eval_{name}") - # Skip bookkeeping columns such as _created_at, which differ per run. - actual = actual.select([c for c in actual.columns if not c.startswith("_")]) - expected_path = os.path.join(expected_dir, f"{name}.csv") - - if not os.path.exists(expected_path): - failures.append( - f"{name}: no expected file; actual rows saved to {save_actual(name, actual)}" - ) - continue - - # Column types follow the gold table, which inherits them from the source data. - expected = load_expected(expected_path, actual.schema) - try: - assertDataFrameEqual(actual, expected, rtol=1e-9, maxErrors=10) - print(f"{name}: OK ({actual.count()} rows)") - except AssertionError as e: - print(f"{name}: actual {actual.count()} rows, expected {expected.count()} rows\n{e}") - failures.append(f"{name}: mismatch; actual rows saved to {save_actual(name, actual)}") - -if failures: - raise AssertionError("\n".join(failures)) From aca13b0608bea4824f74ae3c5a9882be9ca93b5d Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Sat, 17 Oct 2026 07:42:18 +0200 Subject: [PATCH 10/18] docs(e2e): update README to reflect parallel test structure and add pipeline expected files - Refresh `tests/e2e/README.md` to describe the new parallel task layout, per-test table prefixes, shared `e2e_utils.py`, and instructions for adding tests. - Add expected gold files for the `pipeline` test: `histogram2d_fact.csv` and `stats_aggregator_fact.csv`. --- tests/e2e/README.md | 35 +- .../expected/pipeline/histogram2d_fact.csv | 4861 +++++++++++++++++ .../pipeline/stats_aggregator_fact.csv | 730 +++ 3 files changed, 5611 insertions(+), 15 deletions(-) create mode 100644 tests/e2e/expected/pipeline/histogram2d_fact.csv create mode 100644 tests/e2e/expected/pipeline/stats_aggregator_fact.csv diff --git a/tests/e2e/README.md b/tests/e2e/README.md index e1d66f63..dc1e7fac 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -1,17 +1,22 @@ # End-to-end tests -Runs an Impulse report on Databricks serverless compute and compares the results with the expected files in `expected/`. +Runs Impulse reports on Databricks serverless compute and compares the results with the expected files in `expected/`. ## Job -The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this folder: +The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this folder. After `setup`, the tests run in parallel in one temporary schema `e2e_`, each with its own table prefix (the task name). -1. `setup_schema`: creates a temporary schema `e2e_`. -2. `run_report`: runs the report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`) and writes the gold tables to the temporary schema. -3. `run_report_rerun`: runs the same report again. The gold tables must be updated in place. -4. `validate`: compares the source containers and the gold tables with `expected/`. -5. `teardown`: drops the temporary schema. Always runs. -6. `fail_on_error`: fails the job run if any earlier task failed. +| Task | Notebook | Checks | +|---|---|---| +| `setup` | `setup_schema` | Creates the schema, drops this job's schemas older than one day, checks the source data against `expected/containers.csv` | +| `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`), run twice; the rerun must update the gold tables in place | +| `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; must equal `rpm_histogram` | +| `pipeline` | `e2e_pipeline` | Container event, per-container statistics and an RPM x speed heatmap | +| `container_filter` | `e2e_container_filter` | Baseline report filtered to `experiment_1`; must equal those containers' `rpm_histogram` rows | +| `teardown` | `teardown` | Drops the schema; runs only if all tests passed | +| `fail_on_error` | `fail_on_error` | Fails the job run if `setup` or a test failed | + +Shared code (report config, baseline report, comparison) is in `e2e_utils.py`. When a test fails, its schema is kept for debugging. ## Running @@ -23,16 +28,16 @@ This deploys the bundle (`databricks.yml`) and runs the job. It needs the Databr ## Input data -The report reads the silver tables in `.` (bundle variables in `databricks.yml`). They were created from MF4 files with the [Impulse MF4 ingest solution accelerator](https://github.com/databricks-industry-solutions/impulse-mf4-ingest). +The reports read the silver tables in `.` (bundle variables in `databricks.yml`). They were created from MF4 files with the [Impulse MF4 ingest solution accelerator](https://github.com/databricks-industry-solutions/impulse-mf4-ingest). `expected/containers.csv` lists the MF4 file (`experiment_id` folder and `filename`) behind each container id. Use it to rebuild the silver layer from scratch with the accelerator. If the rebuild assigns different container ids, refresh the expected files. ## Expected results -| File | Content | -|---|---| -| `containers.csv` | Container id to MF4 file mapping of the source data | -| `histogram_fact.csv` | Gold histogram rows | -| `event_instance_fact.csv` | Gold event instance rows | +`expected//
.csv` holds the expected gold rows of a test (without `_` bookkeeping columns). `incremental` and `container_filter` reuse `expected/rpm_histogram/`. + +To refresh them after an intended change, run the job. On a mismatch, the test uploads its actual rows as CSV to `/actual//` and logs the path. Review them, then copy them into `expected/`. + +## Adding a test -To refresh them after an intended change, run the job. On a mismatch, `validate` uploads the actual rows as CSV to `/actual/` and logs the path. Review them, then copy them into `expected/`. +Add a notebook `e2e_.py` that builds a report with `config(p)` and `new_report(...)` from `e2e_utils`, runs it, and calls `check(p, table, gold(p, table))`. Add a task `` to the job and to the `depends_on` of `teardown` and `fail_on_error`. The first run fails and uploads the actual rows; review them and save them as `expected//`. diff --git a/tests/e2e/expected/pipeline/histogram2d_fact.csv b/tests/e2e/expected/pipeline/histogram2d_fact.csv new file mode 100644 index 00000000..58f0244e --- /dev/null +++ b/tests/e2e/expected/pipeline/histogram2d_fact.csv @@ -0,0 +1,4861 @@ +container_id,visual_id,event_id,x_bin_id,y_bin_id,hist_value,x_lower_bound,x_upper_bound,y_lower_bound,y_upper_bound,x_bin_name,y_bin_name +58,1253175425,479635942,0,0,0.09200000762939453,2000.0,2500.0,0.0,20.0,2000.0-2500.0,0.0-20.0 +58,1253175425,479635942,0,1,14.3989999294281,2000.0,2500.0,20.0,40.0,2000.0-2500.0,20.0-40.0 +58,1253175425,479635942,0,2,10.649999856948853,2000.0,2500.0,40.0,60.0,2000.0-2500.0,40.0-60.0 +58,1253175425,479635942,0,3,0.08900022506713867,2000.0,2500.0,60.0,80.0,2000.0-2500.0,60.0-80.0 +58,1253175425,479635942,0,4,2.669999837875366,2000.0,2500.0,80.0,100.0,2000.0-2500.0,80.0-100.0 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Coolant Temperature,1201859611,1432421368744511818,min,11.0 +58,717751035,Engine Coolant Temperature,1201859611,1432421368744511818,mean,71.07954740660016 +58,717751035,Engine Coolant Temperature,1201859611,1432421368744511818,max,95.0 +21,717751035,Engine RPM,1201859611,2586283319979737404,min,0.0 +21,717751035,Engine RPM,1201859611,2586283319979737404,mean,1484.8370648465818 +21,717751035,Engine RPM,1201859611,2586283319979737404,max,4315.0 +21,717751035,Vehicle Speed Sensor,1201859611,2586283319979737404,min,0.0 +21,717751035,Vehicle Speed Sensor,1201859611,2586283319979737404,mean,42.32918117346818 +21,717751035,Vehicle Speed Sensor,1201859611,2586283319979737404,max,115.0 +21,717751035,Engine Coolant Temperature,1201859611,2586283319979737404,min,41.0 +21,717751035,Engine Coolant Temperature,1201859611,2586283319979737404,mean,81.9474191457302 +21,717751035,Engine Coolant Temperature,1201859611,2586283319979737404,max,93.0 +71,717751035,Engine 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RPM,1201859611,1978039981849347272,min,0.0 +64,717751035,Engine RPM,1201859611,1978039981849347272,mean,1053.9283989931587 +64,717751035,Engine RPM,1201859611,1978039981849347272,max,2979.0 +64,717751035,Vehicle Speed Sensor,1201859611,1978039981849347272,min,0.0 +64,717751035,Vehicle Speed Sensor,1201859611,1978039981849347272,mean,25.029879495126046 +64,717751035,Vehicle Speed Sensor,1201859611,1978039981849347272,max,101.0 +64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,min,28.0 +64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,mean,75.65755205787605 +64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,max,94.0 +66,717751035,Engine RPM,1201859611,6831185462073925864,min,0.0 +66,717751035,Engine RPM,1201859611,6831185462073925864,mean,1308.5081461022414 +66,717751035,Engine RPM,1201859611,6831185462073925864,max,2577.0 +66,717751035,Vehicle Speed Sensor,1201859611,6831185462073925864,min,0.0 +66,717751035,Vehicle Speed Sensor,1201859611,6831185462073925864,mean,26.57288979645506 +66,717751035,Vehicle Speed Sensor,1201859611,6831185462073925864,max,103.0 +66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,min,-1.0 +66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,mean,45.20334698718101 +66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,max,64.0 +1,717751035,Engine RPM,1201859611,-928762887014768240,min,0.0 +1,717751035,Engine RPM,1201859611,-928762887014768240,mean,1303.5914744669135 +1,717751035,Engine RPM,1201859611,-928762887014768240,max,3430.0 +1,717751035,Vehicle Speed Sensor,1201859611,-928762887014768240,min,0.0 +1,717751035,Vehicle Speed Sensor,1201859611,-928762887014768240,mean,49.36724128484244 +1,717751035,Vehicle Speed Sensor,1201859611,-928762887014768240,max,203.0 +1,717751035,Engine Coolant Temperature,1201859611,-928762887014768240,min,20.0 +1,717751035,Engine Coolant Temperature,1201859611,-928762887014768240,mean,81.48121456069471 +1,717751035,Engine Coolant Temperature,1201859611,-928762887014768240,max,93.0 +15,717751035,Engine RPM,1201859611,8620646447947530699,min,0.0 +15,717751035,Engine RPM,1201859611,8620646447947530699,mean,1402.273463882204 +15,717751035,Engine RPM,1201859611,8620646447947530699,max,2882.0 +15,717751035,Vehicle Speed Sensor,1201859611,8620646447947530699,min,0.0 +15,717751035,Vehicle Speed Sensor,1201859611,8620646447947530699,mean,48.827510606843056 +15,717751035,Vehicle Speed Sensor,1201859611,8620646447947530699,max,126.0 +15,717751035,Engine Coolant Temperature,1201859611,8620646447947530699,min,29.0 +15,717751035,Engine Coolant Temperature,1201859611,8620646447947530699,mean,86.1002158486754 +15,717751035,Engine Coolant Temperature,1201859611,8620646447947530699,max,100.0 +77,717751035,Engine RPM,1201859611,8292766365109962602,min,0.0 +77,717751035,Engine RPM,1201859611,8292766365109962602,mean,1277.184755053257 +77,717751035,Engine RPM,1201859611,8292766365109962602,max,2312.0 +77,717751035,Vehicle Speed Sensor,1201859611,8292766365109962602,min,0.0 +77,717751035,Vehicle Speed Sensor,1201859611,8292766365109962602,mean,29.417941074065926 +77,717751035,Vehicle Speed Sensor,1201859611,8292766365109962602,max,87.0 +77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,min,30.0 +77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,mean,71.57300171401606 +77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,max,95.0 +3,717751035,Engine RPM,1201859611,3286614479096879038,min,0.0 +3,717751035,Engine RPM,1201859611,3286614479096879038,mean,1433.0548539779463 +3,717751035,Engine RPM,1201859611,3286614479096879038,max,3111.0 +3,717751035,Vehicle Speed Sensor,1201859611,3286614479096879038,min,0.0 +3,717751035,Vehicle Speed Sensor,1201859611,3286614479096879038,mean,58.18534472415409 +3,717751035,Vehicle Speed Sensor,1201859611,3286614479096879038,max,184.0 +3,717751035,Engine Coolant Temperature,1201859611,3286614479096879038,min,31.0 +3,717751035,Engine Coolant Temperature,1201859611,3286614479096879038,mean,86.80195719923402 +3,717751035,Engine Coolant Temperature,1201859611,3286614479096879038,max,101.0 +37,717751035,Engine RPM,1201859611,-3015666225396535697,min,0.0 +37,717751035,Engine RPM,1201859611,-3015666225396535697,mean,1537.2965390817742 +37,717751035,Engine RPM,1201859611,-3015666225396535697,max,2991.0 +37,717751035,Vehicle Speed Sensor,1201859611,-3015666225396535697,min,0.0 +37,717751035,Vehicle Speed Sensor,1201859611,-3015666225396535697,mean,64.30652364639809 +37,717751035,Vehicle Speed Sensor,1201859611,-3015666225396535697,max,129.0 +37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,min,15.0 +37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,mean,78.69357601451388 +37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,max,94.0 +27,717751035,Engine RPM,1201859611,-3534261932286880816,min,0.0 +27,717751035,Engine RPM,1201859611,-3534261932286880816,mean,1441.383705808705 +27,717751035,Engine RPM,1201859611,-3534261932286880816,max,2501.0 +27,717751035,Vehicle Speed Sensor,1201859611,-3534261932286880816,min,0.0 +27,717751035,Vehicle Speed Sensor,1201859611,-3534261932286880816,mean,60.49937508934048 +27,717751035,Vehicle Speed Sensor,1201859611,-3534261932286880816,max,126.0 +27,717751035,Engine Coolant Temperature,1201859611,-3534261932286880816,min,31.0 +27,717751035,Engine Coolant Temperature,1201859611,-3534261932286880816,mean,84.6664564587349 +27,717751035,Engine Coolant Temperature,1201859611,-3534261932286880816,max,94.0 +57,717751035,Engine RPM,1201859611,8939056937015267775,min,0.0 +57,717751035,Engine RPM,1201859611,8939056937015267775,mean,1606.2501516080329 +57,717751035,Engine RPM,1201859611,8939056937015267775,max,2830.0 +57,717751035,Vehicle Speed Sensor,1201859611,8939056937015267775,min,0.0 +57,717751035,Vehicle Speed Sensor,1201859611,8939056937015267775,mean,75.4066898494467 +57,717751035,Vehicle Speed Sensor,1201859611,8939056937015267775,max,129.0 +57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,min,73.0 +57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,mean,88.21237041835799 +57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,max,92.0 +24,717751035,Engine RPM,1201859611,7437298780708400991,min,0.0 +24,717751035,Engine RPM,1201859611,7437298780708400991,mean,1468.2751083580695 +24,717751035,Engine RPM,1201859611,7437298780708400991,max,2606.0 +24,717751035,Vehicle Speed Sensor,1201859611,7437298780708400991,min,0.0 +24,717751035,Vehicle Speed Sensor,1201859611,7437298780708400991,mean,59.33232568095993 +24,717751035,Vehicle Speed Sensor,1201859611,7437298780708400991,max,126.0 +24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,min,29.0 +24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,mean,84.9809574121226 +24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,max,94.0 +52,717751035,Engine RPM,1201859611,1261300119102051947,min,0.0 +52,717751035,Engine RPM,1201859611,1261300119102051947,mean,1549.1329341290623 +52,717751035,Engine RPM,1201859611,1261300119102051947,max,2645.0 +52,717751035,Vehicle Speed Sensor,1201859611,1261300119102051947,min,0.0 +52,717751035,Vehicle Speed Sensor,1201859611,1261300119102051947,mean,78.61691814212281 +52,717751035,Vehicle Speed Sensor,1201859611,1261300119102051947,max,125.0 +52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,min,64.0 +52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,mean,89.34526785668847 +52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,max,93.0 +28,717751035,Engine RPM,1201859611,1040427654212385429,min,0.0 +28,717751035,Engine RPM,1201859611,1040427654212385429,mean,1501.7751038300937 +28,717751035,Engine RPM,1201859611,1040427654212385429,max,2592.0 +28,717751035,Vehicle Speed Sensor,1201859611,1040427654212385429,min,0.0 +28,717751035,Vehicle Speed Sensor,1201859611,1040427654212385429,mean,61.92254945742876 +28,717751035,Vehicle Speed Sensor,1201859611,1040427654212385429,max,130.0 +28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,min,16.0 +28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,mean,80.06253481965744 +28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,max,94.0 +54,717751035,Engine RPM,1201859611,3329842588530743954,min,0.0 +54,717751035,Engine RPM,1201859611,3329842588530743954,mean,1568.8600029955448 +54,717751035,Engine RPM,1201859611,3329842588530743954,max,2892.0 +54,717751035,Vehicle Speed Sensor,1201859611,3329842588530743954,min,0.0 +54,717751035,Vehicle Speed Sensor,1201859611,3329842588530743954,mean,79.85376266213542 +54,717751035,Vehicle Speed Sensor,1201859611,3329842588530743954,max,126.0 +54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,min,67.0 +54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,mean,89.93861637324316 +54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,max,94.0 +39,717751035,Engine RPM,1201859611,1077981989772730875,min,0.0 +39,717751035,Engine RPM,1201859611,1077981989772730875,mean,1546.1728841483266 +39,717751035,Engine RPM,1201859611,1077981989772730875,max,3788.0 +39,717751035,Vehicle Speed Sensor,1201859611,1077981989772730875,min,0.0 +39,717751035,Vehicle Speed Sensor,1201859611,1077981989772730875,mean,71.92123723520069 +39,717751035,Vehicle Speed Sensor,1201859611,1077981989772730875,max,130.0 +39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,min,55.0 +39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,mean,88.40805702965778 +39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,max,97.0 +35,717751035,Engine RPM,1201859611,-5091309530965523951,min,0.0 +35,717751035,Engine RPM,1201859611,-5091309530965523951,mean,1562.233448947786 +35,717751035,Engine RPM,1201859611,-5091309530965523951,max,2759.0 +35,717751035,Vehicle Speed Sensor,1201859611,-5091309530965523951,min,0.0 +35,717751035,Vehicle Speed Sensor,1201859611,-5091309530965523951,mean,67.90192605224762 +35,717751035,Vehicle Speed Sensor,1201859611,-5091309530965523951,max,131.0 +35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,min,9.0 +35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,mean,77.26282186460426 +35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,max,95.0 +43,717751035,Engine RPM,1201859611,-5059295208201598568,min,0.0 +43,717751035,Engine RPM,1201859611,-5059295208201598568,mean,1613.6854438659657 +43,717751035,Engine RPM,1201859611,-5059295208201598568,max,2792.0 +43,717751035,Vehicle Speed Sensor,1201859611,-5059295208201598568,min,0.0 +43,717751035,Vehicle Speed Sensor,1201859611,-5059295208201598568,mean,75.89433331597364 +43,717751035,Vehicle Speed Sensor,1201859611,-5059295208201598568,max,131.0 +43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,min,12.0 +43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,mean,75.05364093931695 +43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,max,94.0 +49,717751035,Engine RPM,1201859611,-8089365359392949673,min,262.0 +49,717751035,Engine RPM,1201859611,-8089365359392949673,mean,1587.8939076350948 +49,717751035,Engine RPM,1201859611,-8089365359392949673,max,3136.0 +49,717751035,Vehicle Speed Sensor,1201859611,-8089365359392949673,min,0.0 +49,717751035,Vehicle Speed Sensor,1201859611,-8089365359392949673,mean,79.56582538481683 +49,717751035,Vehicle Speed Sensor,1201859611,-8089365359392949673,max,125.0 +49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,min,17.0 +49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,mean,79.10704510846838 +49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,max,94.0 +22,717751035,Engine RPM,1201859611,1702604805711203895,min,0.0 +22,717751035,Engine RPM,1201859611,1702604805711203895,mean,1585.0838331225893 +22,717751035,Engine RPM,1201859611,1702604805711203895,max,3563.0 +22,717751035,Vehicle Speed Sensor,1201859611,1702604805711203895,min,0.0 +22,717751035,Vehicle Speed Sensor,1201859611,1702604805711203895,mean,68.50578552337033 +22,717751035,Vehicle Speed Sensor,1201859611,1702604805711203895,max,211.0 +22,717751035,Engine Coolant Temperature,1201859611,1702604805711203895,min,40.0 +22,717751035,Engine Coolant Temperature,1201859611,1702604805711203895,mean,86.72436736016712 +22,717751035,Engine Coolant Temperature,1201859611,1702604805711203895,max,93.0 +76,717751035,Engine RPM,1201859611,1604686477683752455,min,0.0 +76,717751035,Engine RPM,1201859611,1604686477683752455,mean,1273.3780449260523 +76,717751035,Engine RPM,1201859611,1604686477683752455,max,2590.0 +76,717751035,Vehicle Speed Sensor,1201859611,1604686477683752455,min,0.0 +76,717751035,Vehicle Speed Sensor,1201859611,1604686477683752455,mean,30.272613806835366 +76,717751035,Vehicle Speed Sensor,1201859611,1604686477683752455,max,92.0 +76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,min,11.0 +76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,mean,57.179514231581074 +76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,max,84.0 +16,717751035,Engine RPM,1201859611,-5204063793680029428,min,0.0 +16,717751035,Engine RPM,1201859611,-5204063793680029428,mean,1755.3705995771268 +16,717751035,Engine RPM,1201859611,-5204063793680029428,max,3177.0 +16,717751035,Vehicle Speed Sensor,1201859611,-5204063793680029428,min,0.0 +16,717751035,Vehicle Speed Sensor,1201859611,-5204063793680029428,mean,86.59540682389215 +16,717751035,Vehicle Speed Sensor,1201859611,-5204063793680029428,max,188.0 +16,717751035,Engine Coolant Temperature,1201859611,-5204063793680029428,min,12.0 +16,717751035,Engine Coolant Temperature,1201859611,-5204063793680029428,mean,79.5097275900149 +16,717751035,Engine Coolant Temperature,1201859611,-5204063793680029428,max,94.0 +70,717751035,Engine RPM,1201859611,382192189422054743,min,0.0 +70,717751035,Engine RPM,1201859611,382192189422054743,mean,1159.3155368583996 +70,717751035,Engine RPM,1201859611,382192189422054743,max,2534.0 +70,717751035,Vehicle Speed Sensor,1201859611,382192189422054743,min,0.0 +70,717751035,Vehicle Speed Sensor,1201859611,382192189422054743,mean,31.32983118248776 +70,717751035,Vehicle Speed Sensor,1201859611,382192189422054743,max,103.0 +70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,min,25.0 +70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,mean,72.17541600192013 +70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,max,94.0 +4,717751035,Engine RPM,1201859611,3413059497672580978,min,0.0 +4,717751035,Engine RPM,1201859611,3413059497672580978,mean,1526.1111291013062 +4,717751035,Engine RPM,1201859611,3413059497672580978,max,3347.0 +4,717751035,Vehicle Speed Sensor,1201859611,3413059497672580978,min,0.0 +4,717751035,Vehicle Speed Sensor,1201859611,3413059497672580978,mean,63.67835813879377 +4,717751035,Vehicle Speed Sensor,1201859611,3413059497672580978,max,190.0 +4,717751035,Engine Coolant Temperature,1201859611,3413059497672580978,min,12.0 +4,717751035,Engine Coolant Temperature,1201859611,3413059497672580978,mean,84.77123383223567 +4,717751035,Engine Coolant Temperature,1201859611,3413059497672580978,max,95.0 +8,717751035,Engine RPM,1201859611,-6047692687641618500,min,0.0 +8,717751035,Engine RPM,1201859611,-6047692687641618500,mean,1569.5588696551204 +8,717751035,Engine RPM,1201859611,-6047692687641618500,max,3385.0 +8,717751035,Vehicle Speed Sensor,1201859611,-6047692687641618500,min,0.0 +8,717751035,Vehicle Speed Sensor,1201859611,-6047692687641618500,mean,70.54435467823058 +8,717751035,Vehicle Speed Sensor,1201859611,-6047692687641618500,max,201.0 +8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,min,65.0 +8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,mean,86.10176244899513 +8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,max,93.0 +20,717751035,Engine RPM,1201859611,3772502504273691038,min,0.0 +20,717751035,Engine RPM,1201859611,3772502504273691038,mean,1415.7485190357797 +20,717751035,Engine RPM,1201859611,3772502504273691038,max,2556.0 +20,717751035,Vehicle Speed Sensor,1201859611,3772502504273691038,min,0.0 +20,717751035,Vehicle Speed Sensor,1201859611,3772502504273691038,mean,52.74712608157564 +20,717751035,Vehicle Speed Sensor,1201859611,3772502504273691038,max,127.0 +20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,min,30.0 +20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,mean,84.59326084616464 +20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,max,94.0 +44,717751035,Engine RPM,1201859611,819277571598892579,min,0.0 +44,717751035,Engine RPM,1201859611,819277571598892579,mean,1664.4286443199032 +44,717751035,Engine RPM,1201859611,819277571598892579,max,3328.0 +44,717751035,Vehicle Speed Sensor,1201859611,819277571598892579,min,0.0 +44,717751035,Vehicle Speed Sensor,1201859611,819277571598892579,mean,78.15311413950887 +44,717751035,Vehicle Speed Sensor,1201859611,819277571598892579,max,198.0 +44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,min,31.0 +44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,mean,85.32505023774867 +44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,max,97.0 +30,717751035,Engine RPM,1201859611,-4509912318961261997,min,0.0 +30,717751035,Engine RPM,1201859611,-4509912318961261997,mean,1467.0242777097128 +30,717751035,Engine RPM,1201859611,-4509912318961261997,max,2775.0 +30,717751035,Vehicle Speed Sensor,1201859611,-4509912318961261997,min,0.0 +30,717751035,Vehicle Speed Sensor,1201859611,-4509912318961261997,mean,61.08222301903904 +30,717751035,Vehicle Speed Sensor,1201859611,-4509912318961261997,max,130.0 +30,717751035,Engine Coolant Temperature,1201859611,-4509912318961261997,min,34.0 +30,717751035,Engine Coolant Temperature,1201859611,-4509912318961261997,mean,83.30082573655244 +30,717751035,Engine Coolant Temperature,1201859611,-4509912318961261997,max,94.0 +50,717751035,Engine RPM,1201859611,4815143990666075450,min,259.0 +50,717751035,Engine RPM,1201859611,4815143990666075450,mean,1558.7114812813386 +50,717751035,Engine RPM,1201859611,4815143990666075450,max,2820.0 +50,717751035,Vehicle Speed Sensor,1201859611,4815143990666075450,min,0.0 +50,717751035,Vehicle Speed Sensor,1201859611,4815143990666075450,mean,64.30053539288808 +50,717751035,Vehicle Speed Sensor,1201859611,4815143990666075450,max,125.0 +50,717751035,Engine Coolant Temperature,1201859611,4815143990666075450,min,12.0 +50,717751035,Engine Coolant Temperature,1201859611,4815143990666075450,mean,79.44238635836453 +50,717751035,Engine Coolant Temperature,1201859611,4815143990666075450,max,94.0 +80,717751035,Engine RPM,1201859611,-8519964041684473957,min,761.0 +80,717751035,Engine RPM,1201859611,-8519964041684473957,mean,1354.3557869387535 +80,717751035,Engine RPM,1201859611,-8519964041684473957,max,2785.0 +80,717751035,Vehicle Speed Sensor,1201859611,-8519964041684473957,min,0.0 +80,717751035,Vehicle Speed Sensor,1201859611,-8519964041684473957,mean,30.89295634201419 +80,717751035,Vehicle Speed Sensor,1201859611,-8519964041684473957,max,91.0 +80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,min,16.0 +80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,mean,62.16280368369521 +80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,max,91.0 +33,717751035,Engine RPM,1201859611,-6056317502954263346,min,0.0 +33,717751035,Engine RPM,1201859611,-6056317502954263346,mean,1602.7588354916938 +33,717751035,Engine RPM,1201859611,-6056317502954263346,max,3200.0 +33,717751035,Vehicle Speed Sensor,1201859611,-6056317502954263346,min,0.0 +33,717751035,Vehicle Speed Sensor,1201859611,-6056317502954263346,mean,67.02346516224355 +33,717751035,Vehicle Speed Sensor,1201859611,-6056317502954263346,max,127.0 +33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,min,75.0 +33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,mean,90.50423782409145 +33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,max,103.0 +10,717751035,Engine RPM,1201859611,799052670452099784,min,0.0 +10,717751035,Engine RPM,1201859611,799052670452099784,mean,1314.130454751977 +10,717751035,Engine RPM,1201859611,799052670452099784,max,2545.0 +10,717751035,Vehicle Speed Sensor,1201859611,799052670452099784,min,0.0 +10,717751035,Vehicle Speed Sensor,1201859611,799052670452099784,mean,45.566849681088506 +10,717751035,Vehicle Speed Sensor,1201859611,799052670452099784,max,125.0 +10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,min,8.0 +10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,mean,74.14848649858493 +10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,max,93.0 +40,717751035,Engine RPM,1201859611,8695525273439978119,min,0.0 +40,717751035,Engine RPM,1201859611,8695525273439978119,mean,1467.4526332701093 +40,717751035,Engine RPM,1201859611,8695525273439978119,max,2880.0 +40,717751035,Vehicle Speed Sensor,1201859611,8695525273439978119,min,0.0 +40,717751035,Vehicle Speed Sensor,1201859611,8695525273439978119,mean,65.27957340346165 +40,717751035,Vehicle Speed Sensor,1201859611,8695525273439978119,max,126.0 +40,717751035,Engine Coolant Temperature,1201859611,8695525273439978119,min,29.0 +40,717751035,Engine Coolant Temperature,1201859611,8695525273439978119,mean,84.24471565131215 +40,717751035,Engine Coolant Temperature,1201859611,8695525273439978119,max,94.0 +46,717751035,Engine RPM,1201859611,-6047084444995931845,min,0.0 +46,717751035,Engine RPM,1201859611,-6047084444995931845,mean,1544.2393300147194 +46,717751035,Engine RPM,1201859611,-6047084444995931845,max,2886.0 +46,717751035,Vehicle Speed Sensor,1201859611,-6047084444995931845,min,0.0 +46,717751035,Vehicle Speed Sensor,1201859611,-6047084444995931845,mean,63.56258450064252 +46,717751035,Vehicle Speed Sensor,1201859611,-6047084444995931845,max,132.0 +46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,min,11.0 +46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,mean,77.10227218484322 +46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,max,94.0 +53,717751035,Engine RPM,1201859611,-8118175245509467954,min,0.0 +53,717751035,Engine RPM,1201859611,-8118175245509467954,mean,1498.354045653113 +53,717751035,Engine RPM,1201859611,-8118175245509467954,max,2616.0 +53,717751035,Vehicle Speed Sensor,1201859611,-8118175245509467954,min,0.0 +53,717751035,Vehicle Speed Sensor,1201859611,-8118175245509467954,mean,62.33697171040229 +53,717751035,Vehicle Speed Sensor,1201859611,-8118175245509467954,max,130.0 +53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,min,40.0 +53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,mean,80.61459324777321 +53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,max,94.0 +34,717751035,Engine RPM,1201859611,-5864392879735263686,min,0.0 +34,717751035,Engine RPM,1201859611,-5864392879735263686,mean,1384.0831067538634 +34,717751035,Engine RPM,1201859611,-5864392879735263686,max,2975.0 +34,717751035,Vehicle Speed Sensor,1201859611,-5864392879735263686,min,0.0 +34,717751035,Vehicle Speed Sensor,1201859611,-5864392879735263686,mean,60.29894529233511 +34,717751035,Vehicle Speed Sensor,1201859611,-5864392879735263686,max,131.0 +34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,min,14.0 +34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,mean,74.22997960322488 +34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,max,94.0 +17,717751035,Engine RPM,1201859611,1920899555557485333,min,0.0 +17,717751035,Engine RPM,1201859611,1920899555557485333,mean,1377.4672276716858 +17,717751035,Engine RPM,1201859611,1920899555557485333,max,2689.0 +17,717751035,Vehicle Speed Sensor,1201859611,1920899555557485333,min,0.0 +17,717751035,Vehicle Speed Sensor,1201859611,1920899555557485333,mean,49.57152319030178 +17,717751035,Vehicle Speed Sensor,1201859611,1920899555557485333,max,126.0 +17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,min,29.0 +17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,mean,84.91646520602409 +17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,max,94.0 +11,717751035,Engine RPM,1201859611,-5926799641916171529,min,0.0 +11,717751035,Engine RPM,1201859611,-5926799641916171529,mean,1487.563622831777 +11,717751035,Engine RPM,1201859611,-5926799641916171529,max,3096.0 +11,717751035,Vehicle Speed Sensor,1201859611,-5926799641916171529,min,0.0 +11,717751035,Vehicle Speed Sensor,1201859611,-5926799641916171529,mean,59.9776282826691 +11,717751035,Vehicle Speed Sensor,1201859611,-5926799641916171529,max,184.0 +11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,min,30.0 +11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,mean,86.09956661686856 +11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,max,93.0 +12,717751035,Engine RPM,1201859611,621520344043114077,min,0.0 +12,717751035,Engine RPM,1201859611,621520344043114077,mean,1735.6059370257688 +12,717751035,Engine RPM,1201859611,621520344043114077,max,3272.0 +12,717751035,Vehicle Speed Sensor,1201859611,621520344043114077,min,0.0 +12,717751035,Vehicle Speed Sensor,1201859611,621520344043114077,mean,82.67659587465012 +12,717751035,Vehicle Speed Sensor,1201859611,621520344043114077,max,194.0 +12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,min,8.0 +12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,mean,82.92123256642661 +12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,max,95.0 +81,717751035,Engine RPM,1201859611,-3039017337926577879,min,0.0 +81,717751035,Engine RPM,1201859611,-3039017337926577879,mean,1418.3154289942524 +81,717751035,Engine RPM,1201859611,-3039017337926577879,max,2562.0 +81,717751035,Vehicle Speed Sensor,1201859611,-3039017337926577879,min,0.0 +81,717751035,Vehicle Speed Sensor,1201859611,-3039017337926577879,mean,43.273075229086885 +81,717751035,Vehicle Speed Sensor,1201859611,-3039017337926577879,max,100.0 +81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,min,22.0 +81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,mean,53.47739996472596 +81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,max,79.0 +25,717751035,Engine RPM,1201859611,-5797038905919203719,min,0.0 +25,717751035,Engine RPM,1201859611,-5797038905919203719,mean,1410.768188471251 +25,717751035,Engine RPM,1201859611,-5797038905919203719,max,2472.0 +25,717751035,Vehicle Speed Sensor,1201859611,-5797038905919203719,min,0.0 +25,717751035,Vehicle Speed Sensor,1201859611,-5797038905919203719,mean,59.51704438649255 +25,717751035,Vehicle Speed Sensor,1201859611,-5797038905919203719,max,126.0 +25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,min,33.0 +25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,mean,85.01079681390014 +25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,max,94.0 +9,717751035,Engine RPM,1201859611,7816983797231647252,min,0.0 +9,717751035,Engine RPM,1201859611,7816983797231647252,mean,1632.3920343462057 +9,717751035,Engine RPM,1201859611,7816983797231647252,max,3220.0 +9,717751035,Vehicle Speed Sensor,1201859611,7816983797231647252,min,0.0 +9,717751035,Vehicle Speed Sensor,1201859611,7816983797231647252,mean,75.6358083048358 +9,717751035,Vehicle Speed Sensor,1201859611,7816983797231647252,max,191.0 +9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,min,42.0 +9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,mean,88.33813276014473 +9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,max,96.0 +38,717751035,Engine RPM,1201859611,8006099507947146869,min,0.0 +38,717751035,Engine RPM,1201859611,8006099507947146869,mean,1514.527505517681 +38,717751035,Engine RPM,1201859611,8006099507947146869,max,2737.0 +38,717751035,Vehicle Speed Sensor,1201859611,8006099507947146869,min,0.0 +38,717751035,Vehicle Speed Sensor,1201859611,8006099507947146869,mean,69.80573817091226 +38,717751035,Vehicle Speed Sensor,1201859611,8006099507947146869,max,128.0 +38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,min,9.0 +38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,mean,77.4823949547948 +38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,max,95.0 +14,717751035,Engine RPM,1201859611,2702796889550818087,min,0.0 +14,717751035,Engine RPM,1201859611,2702796889550818087,mean,1605.0366029386216 +14,717751035,Engine RPM,1201859611,2702796889550818087,max,3406.0 +14,717751035,Vehicle Speed Sensor,1201859611,2702796889550818087,min,0.0 +14,717751035,Vehicle Speed Sensor,1201859611,2702796889550818087,mean,77.57511353067794 +14,717751035,Vehicle Speed Sensor,1201859611,2702796889550818087,max,201.0 +14,717751035,Engine Coolant Temperature,1201859611,2702796889550818087,min,31.0 +14,717751035,Engine Coolant Temperature,1201859611,2702796889550818087,mean,85.52373728558807 +14,717751035,Engine Coolant Temperature,1201859611,2702796889550818087,max,93.0 +29,717751035,Engine RPM,1201859611,6556782270497265025,min,0.0 +29,717751035,Engine RPM,1201859611,6556782270497265025,mean,1476.2099141015954 +29,717751035,Engine RPM,1201859611,6556782270497265025,max,2787.0 +29,717751035,Vehicle Speed Sensor,1201859611,6556782270497265025,min,0.0 +29,717751035,Vehicle Speed Sensor,1201859611,6556782270497265025,mean,59.231924213197686 +29,717751035,Vehicle Speed Sensor,1201859611,6556782270497265025,max,126.0 +29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,min,9.0 +29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,mean,75.97083865780071 +29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,max,95.0 +61,717751035,Engine RPM,1201859611,-6074962741691029584,min,0.0 +61,717751035,Engine RPM,1201859611,-6074962741691029584,mean,1618.4896166180724 +61,717751035,Engine RPM,1201859611,-6074962741691029584,max,2544.0 +61,717751035,Vehicle Speed Sensor,1201859611,-6074962741691029584,min,0.0 +61,717751035,Vehicle Speed Sensor,1201859611,-6074962741691029584,mean,83.35601276763438 +61,717751035,Vehicle Speed Sensor,1201859611,-6074962741691029584,max,126.0 +61,717751035,Engine Coolant Temperature,1201859611,-6074962741691029584,min,51.0 +61,717751035,Engine Coolant Temperature,1201859611,-6074962741691029584,mean,87.07638335871408 +61,717751035,Engine Coolant Temperature,1201859611,-6074962741691029584,max,95.0 +68,717751035,Engine RPM,1201859611,-4052763906460934747,min,0.0 +68,717751035,Engine RPM,1201859611,-4052763906460934747,mean,1295.0187685856379 +68,717751035,Engine RPM,1201859611,-4052763906460934747,max,2818.0 +68,717751035,Vehicle Speed Sensor,1201859611,-4052763906460934747,min,0.0 +68,717751035,Vehicle Speed Sensor,1201859611,-4052763906460934747,mean,30.2772770156397 +68,717751035,Vehicle Speed Sensor,1201859611,-4052763906460934747,max,102.0 +68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,min,10.0 +68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,mean,52.52113041935128 +68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,max,74.0 +51,717751035,Engine RPM,1201859611,-8939688255858788198,min,0.0 +51,717751035,Engine RPM,1201859611,-8939688255858788198,mean,1804.0610418580354 +51,717751035,Engine RPM,1201859611,-8939688255858788198,max,3682.0 +51,717751035,Vehicle Speed Sensor,1201859611,-8939688255858788198,min,0.0 +51,717751035,Vehicle Speed Sensor,1201859611,-8939688255858788198,mean,95.4152402482178 +51,717751035,Vehicle Speed Sensor,1201859611,-8939688255858788198,max,218.0 +51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,min,31.0 +51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,mean,85.45312140690788 +51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,max,94.0 +23,717751035,Engine RPM,1201859611,1667169207552354980,min,0.0 +23,717751035,Engine RPM,1201859611,1667169207552354980,mean,1646.6120441591759 +23,717751035,Engine RPM,1201859611,1667169207552354980,max,3497.0 +23,717751035,Vehicle Speed Sensor,1201859611,1667169207552354980,min,0.0 +23,717751035,Vehicle Speed Sensor,1201859611,1667169207552354980,mean,79.59239297620765 +23,717751035,Vehicle Speed Sensor,1201859611,1667169207552354980,max,208.0 +23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,min,26.0 +23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,mean,85.89731854560233 +23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,max,94.0 +36,717751035,Engine RPM,1201859611,-4482700421175446431,min,0.0 +36,717751035,Engine RPM,1201859611,-4482700421175446431,mean,1543.0496063472635 +36,717751035,Engine RPM,1201859611,-4482700421175446431,max,2557.0 +36,717751035,Vehicle Speed Sensor,1201859611,-4482700421175446431,min,0.0 +36,717751035,Vehicle Speed Sensor,1201859611,-4482700421175446431,mean,68.21998508040274 +36,717751035,Vehicle Speed Sensor,1201859611,-4482700421175446431,max,130.0 +36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,min,5.0 +36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,mean,76.05263790286345 +36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,max,95.0 +60,717751035,Engine RPM,1201859611,1782504894750799124,min,353.0 +60,717751035,Engine RPM,1201859611,1782504894750799124,mean,1471.711980551247 +60,717751035,Engine RPM,1201859611,1782504894750799124,max,2923.0 +60,717751035,Vehicle Speed Sensor,1201859611,1782504894750799124,min,0.0 +60,717751035,Vehicle Speed Sensor,1201859611,1782504894750799124,mean,61.202148553213675 +60,717751035,Vehicle Speed Sensor,1201859611,1782504894750799124,max,107.0 +60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,min,87.0 +60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,mean,89.50600446045384 +60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,max,91.0 +18,717751035,Engine RPM,1201859611,7002524279394511806,min,0.0 +18,717751035,Engine RPM,1201859611,7002524279394511806,mean,1747.0170084475576 +18,717751035,Engine RPM,1201859611,7002524279394511806,max,3359.0 +18,717751035,Vehicle Speed Sensor,1201859611,7002524279394511806,min,0.0 +18,717751035,Vehicle Speed Sensor,1201859611,7002524279394511806,mean,87.89983748384222 +18,717751035,Vehicle Speed Sensor,1201859611,7002524279394511806,max,199.0 +18,717751035,Engine Coolant Temperature,1201859611,7002524279394511806,min,17.0 +18,717751035,Engine Coolant Temperature,1201859611,7002524279394511806,mean,80.70569047005985 +18,717751035,Engine Coolant Temperature,1201859611,7002524279394511806,max,94.0 +32,717751035,Engine RPM,1201859611,-5227152884695581212,min,0.0 +32,717751035,Engine RPM,1201859611,-5227152884695581212,mean,1547.4348167386645 +32,717751035,Engine RPM,1201859611,-5227152884695581212,max,2584.0 +32,717751035,Vehicle Speed Sensor,1201859611,-5227152884695581212,min,0.0 +32,717751035,Vehicle Speed Sensor,1201859611,-5227152884695581212,mean,64.75667037626572 +32,717751035,Vehicle Speed Sensor,1201859611,-5227152884695581212,max,131.0 +32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,min,13.0 +32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,mean,78.16986826248105 +32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,max,94.0 +42,717751035,Engine RPM,1201859611,-4744849287861989057,min,0.0 +42,717751035,Engine RPM,1201859611,-4744849287861989057,mean,1597.5412463324378 +42,717751035,Engine RPM,1201859611,-4744849287861989057,max,3019.0 +42,717751035,Vehicle Speed Sensor,1201859611,-4744849287861989057,min,0.0 +42,717751035,Vehicle Speed Sensor,1201859611,-4744849287861989057,mean,73.70118189702175 +42,717751035,Vehicle Speed Sensor,1201859611,-4744849287861989057,max,131.0 +42,717751035,Engine Coolant Temperature,1201859611,-4744849287861989057,min,12.0 +42,717751035,Engine Coolant Temperature,1201859611,-4744849287861989057,mean,76.76279820989393 +42,717751035,Engine Coolant Temperature,1201859611,-4744849287861989057,max,94.0 +55,717751035,Engine RPM,1201859611,-7312033798960504347,min,0.0 +55,717751035,Engine RPM,1201859611,-7312033798960504347,mean,1492.36312314672 +55,717751035,Engine RPM,1201859611,-7312033798960504347,max,2472.0 +55,717751035,Vehicle Speed Sensor,1201859611,-7312033798960504347,min,0.0 +55,717751035,Vehicle Speed Sensor,1201859611,-7312033798960504347,mean,64.98848060652696 +55,717751035,Vehicle Speed Sensor,1201859611,-7312033798960504347,max,125.0 +55,717751035,Engine Coolant Temperature,1201859611,-7312033798960504347,min,34.0 +55,717751035,Engine Coolant Temperature,1201859611,-7312033798960504347,mean,84.61502653680422 +55,717751035,Engine Coolant Temperature,1201859611,-7312033798960504347,max,94.0 +67,717751035,Engine RPM,1201859611,-2034556668057200826,min,0.0 +67,717751035,Engine RPM,1201859611,-2034556668057200826,mean,1114.4268945866636 +67,717751035,Engine RPM,1201859611,-2034556668057200826,max,2616.0 +67,717751035,Vehicle Speed Sensor,1201859611,-2034556668057200826,min,0.0 +67,717751035,Vehicle Speed Sensor,1201859611,-2034556668057200826,mean,24.93835707167252 +67,717751035,Vehicle Speed Sensor,1201859611,-2034556668057200826,max,89.0 +67,717751035,Engine Coolant Temperature,1201859611,-2034556668057200826,min,27.0 +67,717751035,Engine Coolant Temperature,1201859611,-2034556668057200826,mean,69.45063199524792 +67,717751035,Engine Coolant Temperature,1201859611,-2034556668057200826,max,95.0 +69,717751035,Engine RPM,1201859611,5297223516241122749,min,0.0 +69,717751035,Engine RPM,1201859611,5297223516241122749,mean,936.3941858379201 +69,717751035,Engine RPM,1201859611,5297223516241122749,max,3109.0 +69,717751035,Vehicle Speed Sensor,1201859611,5297223516241122749,min,0.0 +69,717751035,Vehicle Speed Sensor,1201859611,5297223516241122749,mean,14.406498050806668 +69,717751035,Vehicle Speed Sensor,1201859611,5297223516241122749,max,65.0 +69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,min,90.0 +69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,mean,90.6266123830939 +69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,max,92.0 +59,717751035,Engine RPM,1201859611,4526313175717176312,min,0.0 +59,717751035,Engine RPM,1201859611,4526313175717176312,mean,1651.2476025409273 +59,717751035,Engine RPM,1201859611,4526313175717176312,max,2868.0 +59,717751035,Vehicle Speed Sensor,1201859611,4526313175717176312,min,0.0 +59,717751035,Vehicle Speed Sensor,1201859611,4526313175717176312,mean,73.26006321810476 +59,717751035,Vehicle Speed Sensor,1201859611,4526313175717176312,max,170.0 +59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,min,25.0 +59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,mean,86.61080538672012 +59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,max,101.0 +26,717751035,Engine RPM,1201859611,8588031391057209555,min,0.0 +26,717751035,Engine RPM,1201859611,8588031391057209555,mean,1426.7536469896415 +26,717751035,Engine RPM,1201859611,8588031391057209555,max,3404.0 +26,717751035,Vehicle Speed Sensor,1201859611,8588031391057209555,min,0.0 +26,717751035,Vehicle Speed Sensor,1201859611,8588031391057209555,mean,51.41605019144035 +26,717751035,Vehicle Speed Sensor,1201859611,8588031391057209555,max,125.0 +26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,min,14.0 +26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,mean,80.8976982990261 +26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,max,94.0 +47,717751035,Engine RPM,1201859611,3287404548624903503,min,0.0 +47,717751035,Engine RPM,1201859611,3287404548624903503,mean,1507.952652274933 +47,717751035,Engine RPM,1201859611,3287404548624903503,max,2910.0 +47,717751035,Vehicle Speed Sensor,1201859611,3287404548624903503,min,0.0 +47,717751035,Vehicle Speed Sensor,1201859611,3287404548624903503,mean,67.06216857886581 +47,717751035,Vehicle Speed Sensor,1201859611,3287404548624903503,max,128.0 +47,717751035,Engine Coolant Temperature,1201859611,3287404548624903503,min,54.0 +47,717751035,Engine Coolant Temperature,1201859611,3287404548624903503,mean,88.95870363167542 +47,717751035,Engine Coolant Temperature,1201859611,3287404548624903503,max,94.0 +74,717751035,Engine RPM,1201859611,-2523754915779770005,min,270.0 +74,717751035,Engine RPM,1201859611,-2523754915779770005,mean,1330.4312155224095 +74,717751035,Engine RPM,1201859611,-2523754915779770005,max,2400.0 +74,717751035,Vehicle Speed Sensor,1201859611,-2523754915779770005,min,0.0 +74,717751035,Vehicle Speed Sensor,1201859611,-2523754915779770005,mean,28.171189612237182 +74,717751035,Vehicle Speed Sensor,1201859611,-2523754915779770005,max,85.0 +74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,min,18.0 +74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,mean,59.7127691873059 +74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,max,95.0 +62,717751035,Engine RPM,1201859611,2045378005814092654,min,0.0 +62,717751035,Engine RPM,1201859611,2045378005814092654,mean,1369.4898685597188 +62,717751035,Engine RPM,1201859611,2045378005814092654,max,2902.0 +62,717751035,Vehicle Speed Sensor,1201859611,2045378005814092654,min,0.0 +62,717751035,Vehicle Speed Sensor,1201859611,2045378005814092654,mean,55.72507988156066 +62,717751035,Vehicle Speed Sensor,1201859611,2045378005814092654,max,128.0 +62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,min,88.0 +62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,mean,89.70275030212409 +62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,max,91.0 +31,717751035,Engine RPM,1201859611,27763026888340976,min,0.0 +31,717751035,Engine RPM,1201859611,27763026888340976,mean,1450.6490898227182 +31,717751035,Engine RPM,1201859611,27763026888340976,max,2665.0 +31,717751035,Vehicle Speed Sensor,1201859611,27763026888340976,min,0.0 +31,717751035,Vehicle Speed Sensor,1201859611,27763026888340976,mean,56.045234460924455 +31,717751035,Vehicle Speed Sensor,1201859611,27763026888340976,max,128.0 +31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,min,14.0 +31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,mean,80.00928704623948 +31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,max,94.0 +56,717751035,Engine RPM,1201859611,-1655462257548164667,min,0.0 +56,717751035,Engine RPM,1201859611,-1655462257548164667,mean,1593.7827630223187 +56,717751035,Engine RPM,1201859611,-1655462257548164667,max,2718.0 +56,717751035,Vehicle Speed Sensor,1201859611,-1655462257548164667,min,0.0 +56,717751035,Vehicle Speed Sensor,1201859611,-1655462257548164667,mean,80.91485711781226 +56,717751035,Vehicle Speed Sensor,1201859611,-1655462257548164667,max,126.0 +56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,min,62.0 +56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,mean,89.54322978093587 +56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,max,95.0 +73,717751035,Engine RPM,1201859611,4038311380879008479,min,0.0 +73,717751035,Engine RPM,1201859611,4038311380879008479,mean,1448.0903827211644 +73,717751035,Engine RPM,1201859611,4038311380879008479,max,2539.0 +73,717751035,Vehicle Speed Sensor,1201859611,4038311380879008479,min,0.0 +73,717751035,Vehicle Speed Sensor,1201859611,4038311380879008479,mean,51.82361501963803 +73,717751035,Vehicle Speed Sensor,1201859611,4038311380879008479,max,126.0 +73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,min,4.0 +73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,mean,46.57740216010325 +73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,max,72.0 +6,717751035,Engine RPM,1201859611,5601914189163822671,min,0.0 +6,717751035,Engine RPM,1201859611,5601914189163822671,mean,1605.4123428562618 +6,717751035,Engine RPM,1201859611,5601914189163822671,max,3333.0 +6,717751035,Vehicle Speed Sensor,1201859611,5601914189163822671,min,0.0 +6,717751035,Vehicle Speed Sensor,1201859611,5601914189163822671,mean,73.56726290367159 +6,717751035,Vehicle Speed Sensor,1201859611,5601914189163822671,max,198.0 +6,717751035,Engine Coolant Temperature,1201859611,5601914189163822671,min,25.0 +6,717751035,Engine Coolant Temperature,1201859611,5601914189163822671,mean,85.91384809204955 +6,717751035,Engine Coolant Temperature,1201859611,5601914189163822671,max,94.0 +78,717751035,Engine RPM,1201859611,-6903129361326617772,min,0.0 +78,717751035,Engine RPM,1201859611,-6903129361326617772,mean,1503.6662265415732 +78,717751035,Engine RPM,1201859611,-6903129361326617772,max,3632.0 +78,717751035,Vehicle Speed Sensor,1201859611,-6903129361326617772,min,0.0 +78,717751035,Vehicle Speed Sensor,1201859611,-6903129361326617772,mean,57.680277345344486 +78,717751035,Vehicle Speed Sensor,1201859611,-6903129361326617772,max,118.0 +78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,min,88.0 +78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,mean,89.43843949666329 +78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,max,91.0 +19,717751035,Engine RPM,1201859611,107421361993047462,min,0.0 +19,717751035,Engine RPM,1201859611,107421361993047462,mean,1597.5680194141225 +19,717751035,Engine RPM,1201859611,107421361993047462,max,2889.0 +19,717751035,Vehicle Speed Sensor,1201859611,107421361993047462,min,0.0 +19,717751035,Vehicle Speed Sensor,1201859611,107421361993047462,mean,68.10728533671303 +19,717751035,Vehicle Speed Sensor,1201859611,107421361993047462,max,172.0 +19,717751035,Engine Coolant Temperature,1201859611,107421361993047462,min,16.0 +19,717751035,Engine Coolant Temperature,1201859611,107421361993047462,mean,77.22892029829427 +19,717751035,Engine Coolant Temperature,1201859611,107421361993047462,max,93.0 +48,717751035,Engine RPM,1201859611,2089968467991060156,min,0.0 +48,717751035,Engine RPM,1201859611,2089968467991060156,mean,1603.6036940271517 +48,717751035,Engine RPM,1201859611,2089968467991060156,max,2721.0 +48,717751035,Vehicle Speed Sensor,1201859611,2089968467991060156,min,0.0 +48,717751035,Vehicle Speed Sensor,1201859611,2089968467991060156,mean,75.19748116261013 +48,717751035,Vehicle Speed Sensor,1201859611,2089968467991060156,max,126.0 +48,717751035,Engine Coolant Temperature,1201859611,2089968467991060156,min,37.0 +48,717751035,Engine Coolant Temperature,1201859611,2089968467991060156,mean,85.43255587080594 +48,717751035,Engine Coolant Temperature,1201859611,2089968467991060156,max,94.0 +79,717751035,Engine RPM,1201859611,2185843916018887178,min,0.0 +79,717751035,Engine RPM,1201859611,2185843916018887178,mean,1261.5219812119237 +79,717751035,Engine RPM,1201859611,2185843916018887178,max,2835.0 +79,717751035,Vehicle Speed Sensor,1201859611,2185843916018887178,min,0.0 +79,717751035,Vehicle Speed Sensor,1201859611,2185843916018887178,mean,32.17506210075057 +79,717751035,Vehicle Speed Sensor,1201859611,2185843916018887178,max,86.0 +79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,min,24.0 +79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,mean,67.75602686195407 +79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,max,95.0 From 5b7bb2e1bacf656bf4ad57b5dc36a359ce2a4900 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Sat, 17 Oct 2026 09:20:36 +0200 Subject: [PATCH 11/18] feat(e2e): add incremental update, event, and calculated-channel tests - Add `e2e_incremental_updates.py` to verify incremental runs skip unchanged containers, recompute only affected containers on source changes, and recompute only changed aggregations when bins change. - Add `e2e_events.py` covering points-in-time, sequence, and time-window events with point-value and window-statistics aggregations. - Extend `e2e_pipeline.py` with a calculated channel and cross-check its persisted samples, scoped stats, and unscoped stats. - Strengthen `e2e_rpm_histogram.py` with a compute-only run that writes no tables, and expand `e2e_container_filter.py` to use combined tag and metric filters. - Add shared helpers in `e2e_utils.py` for silver copies, table versions, and event dimension lookups. - Wire new `incremental_updates` and `events` tasks into `resources/e2e_job.yml` and update `tests/e2e/README.md`. - Add expected gold files for the new `events` test and the updated `pipeline` test. --- resources/e2e_job.yml | 16 +- tests/e2e/README.md | 10 +- tests/e2e/e2e_container_filter.py | 34 +- tests/e2e/e2e_events.py | 85 + tests/e2e/e2e_incremental.py | 14 +- tests/e2e/e2e_incremental_updates.py | 81 + tests/e2e/e2e_pipeline.py | 67 +- tests/e2e/e2e_rpm_histogram.py | 19 +- tests/e2e/e2e_utils.py | 44 +- .../expected/events/event_instance_fact.csv | 1543 +++++++++ .../expected/events/stats_aggregator_fact.csv | 2977 +++++++++++++++++ .../pipeline/calculated_channel_metrics.csv | 82 + .../pipeline/stats_aggregator_fact.csv | 486 +++ 13 files changed, 5421 insertions(+), 37 deletions(-) create mode 100644 tests/e2e/e2e_events.py create mode 100644 tests/e2e/e2e_incremental_updates.py create mode 100644 tests/e2e/expected/events/event_instance_fact.csv create mode 100644 tests/e2e/expected/events/stats_aggregator_fact.csv create mode 100644 tests/e2e/expected/pipeline/calculated_channel_metrics.csv diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 812c4c02..bb3e229e 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -45,6 +45,18 @@ resources: depends_on: [{task_key: setup}] notebook_task: {notebook_path: ../tests/e2e/e2e_container_filter.py, base_parameters: *params} + - task_key: incremental_updates + environment_key: e2e_env + disable_auto_optimization: true + depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_incremental_updates.py, base_parameters: *params} + + - task_key: events + environment_key: e2e_env + disable_auto_optimization: true + depends_on: [{task_key: setup}] + notebook_task: {notebook_path: ../tests/e2e/e2e_events.py, base_parameters: *params} + # Runs only when all tests passed. - task_key: teardown environment_key: e2e_env @@ -54,13 +66,15 @@ resources: - {task_key: incremental} - {task_key: pipeline} - {task_key: container_filter} + - {task_key: incremental_updates} + - {task_key: events} notebook_task: {notebook_path: ../tests/e2e/teardown.py, base_parameters: *params} # Fails the run when setup or a test failed. - task_key: fail_on_error environment_key: e2e_env disable_auto_optimization: true - depends_on: [{task_key: setup}, {task_key: rpm_histogram}, {task_key: incremental}, {task_key: pipeline}, {task_key: container_filter}] + depends_on: [{task_key: setup}, {task_key: rpm_histogram}, {task_key: incremental}, {task_key: pipeline}, {task_key: container_filter}, {task_key: incremental_updates}, {task_key: events}] run_if: AT_LEAST_ONE_FAILED notebook_task: {notebook_path: ../tests/e2e/fail_on_error.py} diff --git a/tests/e2e/README.md b/tests/e2e/README.md index dc1e7fac..7c1dd3dd 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -9,10 +9,12 @@ The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this f | Task | Notebook | Checks | |---|---|---| | `setup` | `setup_schema` | Creates the schema, drops this job's schemas older than one day, checks the source data against `expected/containers.csv` | -| `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`), run twice; the rerun must update the gold tables in place | +| `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`): a compute-only run writes nothing and gives the expected histogram; two persisted runs update the gold tables in place | | `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; must equal `rpm_histogram` | -| `pipeline` | `e2e_pipeline` | Container event, per-container statistics and an RPM x speed heatmap | -| `container_filter` | `e2e_container_filter` | Baseline report filtered to `experiment_1`; must equal those containers' `rpm_histogram` rows | +| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed without stale rows; changed histogram bins recompute only the histogram; the result equals a full run | +| `pipeline` | `e2e_pipeline` | Container event, per-container statistics, an RPM x speed heatmap and a calculated channel; the calculated channel's samples must give the same statistics as the StatsAggregator | +| `container_filter` | `e2e_container_filter` | Baseline report on (`experiment_1` or `experiment_2`) and longer than 30 minutes; must equal those containers' `rpm_histogram` rows, with the containers selected independently in SQL | +| `events` | `e2e_events` | Points-in-time, sequence and 5-minute window events with point values and window statistics; point events have zero length, windows tile each container | | `teardown` | `teardown` | Drops the schema; runs only if all tests passed | | `fail_on_error` | `fail_on_error` | Fails the job run if `setup` or a test failed | @@ -34,7 +36,7 @@ The reports read the silver tables in `.` (bundle variab ## Expected results -`expected//
.csv` holds the expected gold rows of a test (without `_` bookkeeping columns). `incremental` and `container_filter` reuse `expected/rpm_histogram/`. +`expected//
.csv` holds the expected gold rows of a test (without `_` bookkeeping columns). `incremental` and `container_filter` reuse `expected/rpm_histogram/`; `incremental_updates` compares with a full reference run instead of expected files. To refresh them after an intended change, run the job. On a mismatch, the test uploads its actual rows as CSV to `/actual//` and logs the path. Review them, then copy them into `expected/`. diff --git a/tests/e2e/e2e_container_filter.py b/tests/e2e/e2e_container_filter.py index 720a9e72..e34a494a 100644 --- a/tests/e2e/e2e_container_filter.py +++ b/tests/e2e/e2e_container_filter.py @@ -1,27 +1,41 @@ # Databricks notebook source # MAGIC %md # MAGIC # e2e: container filter -# MAGIC Runs the baseline report on the containers of `experiment_1` only. The result must equal -# MAGIC those containers' rows in `expected/rpm_histogram`. +# MAGIC Runs the baseline report on the containers of `experiment_1` or `experiment_2` that are +# MAGIC longer than 30 minutes (tag filter groups OR-combined, AND-combined with a metric filter). +# MAGIC The result must equal those containers' rows in `expected/rpm_histogram`. # COMMAND ---------- -import os - -import pandas as pd import pyspark.sql.functions as F -from e2e_utils import add_rpm_histogram, check, config, expected, gold, new_report, params +from e2e_utils import add_rpm_histogram, check, config, expected, gold, new_report, params, spark p = params() -experiment_filter = {"tag_name": "experiment_id", "comparator": "==", "value": "experiment_1"} -report = new_report(config(p, container_filters={"tag_filters": [[experiment_filter]]})) +experiments = ["experiment_1", "experiment_2"] +filters = { + "tag_filters": [ + [{"tag_name": "experiment_id", "comparator": "==", "value": e}] for e in experiments + ], + "metric_filters": [[{"column_name": "duration_s", "comparator": ">", "value": 1800.0}]], +} +report = new_report(config(p, container_filters=filters)) add_rpm_histogram(report) report.run() # COMMAND ---------- -containers = pd.read_csv(os.path.join(p.expected_dir, "containers.csv")) -ids = containers.loc[containers.experiment_id == "experiment_1", "container_id"].tolist() +# The same selection in plain SQL. +ids = [ + r.container_id + for r in spark.sql( + f"SELECT m.container_id FROM {p.source}container_metrics m " + f"JOIN {p.source}container_tags t ON t.container_id = m.container_id " + f"WHERE t.key = 'experiment_id' AND t.value IN ('experiment_1', 'experiment_2') " + "AND m.duration_s > 1800" + ).collect() +] +all_ids = spark.read.table(f"{p.source}container_tags").select("container_id").distinct().count() +assert 0 < len(ids) < all_ids, f"filter selects {len(ids)} of {all_ids} containers" for table in ["histogram_fact", "event_instance_fact"]: actual = gold(p, table) diff --git a/tests/e2e/e2e_events.py b/tests/e2e/e2e_events.py new file mode 100644 index 00000000..058289f3 --- /dev/null +++ b/tests/e2e/e2e_events.py @@ -0,0 +1,85 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: events +# MAGIC Points-in-time, sequence and time-window events with their aggregations. Checks their +# MAGIC structure (point events have zero length, windows tile each container, ...) and the +# MAGIC expected rows. + +# COMMAND ---------- + +import pyspark.sql.functions as F +from e2e_utils import channel, check, config, event_ids, gold, new_report, params + +from impulse_reporting.aggregations.point_value_aggregator import PointValueAggregator +from impulse_reporting.aggregations.stats_aggregator import StatsAggregator +from impulse_reporting.core.page import Page +from impulse_reporting.events.points_in_time_event import PointsInTimeEvent +from impulse_reporting.events.sequence_of_events import SequenceOfEvents +from impulse_reporting.events.time_window_event import TimeWindowEvent + +p = params() +report = new_report(config(p)) +rpm, speed = channel(report, "Engine RPM"), channel(report, "Vehicle Speed Sensor") + +slow_down = PointsInTimeEvent(name="slow_down", expr=(speed > 100).end_points()) +fast_then_high_rpm = SequenceOfEvents( + name="fast_then_high_rpm", expressions=[speed > 100, rpm > 3000] +) +five_min = TimeWindowEvent(name="five_min", window_length=300.0) +for event in [slow_down, fast_then_high_rpm, five_min]: + report.add_event(event) + +page = Page(page_number=1) +page.add_aggregation( + PointValueAggregator( + name="values_at_slow_down", + input_expressions=[rpm, speed], + channel_names=["Engine RPM", "Vehicle Speed Sensor"], + event=slow_down, + ) +) +page.add_aggregation( + StatsAggregator( + name="five_min_stats", + input_expressions=[rpm], + channel_names=["Engine RPM"], + statistics=["mean", "max"], + event=five_min, + ) +) +report.add_page(page) +report.run() + +# COMMAND ---------- + +ids = event_ids(p) +events = gold(p, "event_instance_fact").withColumn("length", F.col("end_ts") - F.col("start_ts")) + + +def instances(name): + return events.where(F.col("event_id") == ids[name]) + + +assert instances("slow_down").count() > 0, "no slow_down events" +assert instances("slow_down").where("length != 0").count() == 0, "point events with a length" +assert instances("fast_then_high_rpm").where("length <= 0").count() == 0, "empty sequences" +assert instances("five_min").where("length > 300.000001").count() == 0, "windows over 5 min" + +# The windows tile each container. +covered = instances("five_min").groupBy("container_id").agg(F.sum("length").alias("covered")) +durations = gold(p, "measurement_dimension").select( + "container_id", (F.col("stop_ts") - F.col("start_ts")).alias("duration") +) +gaps = covered.join(durations, "container_id", "full").where( + F.abs(F.coalesce("covered", F.lit(0.0)) - F.col("duration")) > 1e-6 +) +assert gaps.count() == 0, "windows don't cover the containers" + +# One value per point event and channel. +values = gold(p, "stats_aggregator_fact").where(F.col("aggregation_label") == "value") +assert values.count() == 2 * instances("slow_down").count(), "missing point values" + +# COMMAND ---------- + +for table in ["event_instance_fact", "stats_aggregator_fact"]: + check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_incremental.py b/tests/e2e/e2e_incremental.py index 456e1359..ea936cfa 100644 --- a/tests/e2e/e2e_incremental.py +++ b/tests/e2e/e2e_incremental.py @@ -8,22 +8,19 @@ # COMMAND ---------- from e2e_utils import ( - SILVER_TABLES, add_rpm_histogram, check, config, + copy_silver, expected, gold, + load_silver, new_report, params, - spark, ) p = params() -silver = f"{p.catalog}.{p.schema}.{p.prefix}_src_" -for table in SILVER_TABLES: - spark.sql(f"CREATE TABLE {silver}{table} AS SELECT * FROM {p.source}{table} WHERE false") - +silver = copy_silver(p) report = new_report( config( p, @@ -37,10 +34,7 @@ # COMMAND ---------- for containers in ["container_id <= 40", "container_id > 40"]: - for table in SILVER_TABLES: - spark.sql( - f"INSERT INTO {silver}{table} SELECT * FROM {p.source}{table} WHERE {containers}" - ) + load_silver(p, silver, containers) report.run() # COMMAND ---------- diff --git a/tests/e2e/e2e_incremental_updates.py b/tests/e2e/e2e_incremental_updates.py new file mode 100644 index 00000000..dde1066c --- /dev/null +++ b/tests/e2e/e2e_incremental_updates.py @@ -0,0 +1,81 @@ +# Databricks notebook source +# MAGIC %md +# MAGIC # e2e: incremental updates +# MAGIC Runs the baseline report incrementally on a copy of the silver tables, then: +# MAGIC 1. reruns without changes: the fact tables must not be rewritten, +# MAGIC 2. removes half of container 5's samples: only that container is recomputed, +# MAGIC 3. changes the histogram bins: only the histogram is recomputed. +# MAGIC +# MAGIC The result must equal a full run of the final report on the final data. + +# COMMAND ---------- + +from e2e_utils import ( + add_rpm_histogram, + check, + config, + copy_silver, + expected, + gold, + load_silver, + new_report, + params, + spark, + versions, +) + +p = params() +silver = copy_silver(p) +load_silver(p, silver, "true") +incremental = {"enabled": True, "silver_last_modified_column": "last_modified"} + +report = new_report(config(p, source=silver, incremental=incremental)) +add_rpm_histogram(report) +report.run() + +# COMMAND ---------- + +# 1. No changes: the fact tables must not be rewritten. +tables = ["histogram_fact", "event_instance_fact"] +before = versions(p, tables) +report.run() +assert versions(p, tables) == before, "a run without changes rewrote fact tables" + +# COMMAND ---------- + +# 2. Container 5 is re-ingested with only the first half of its samples. +mid = spark.sql( + f"SELECT (start_ts + stop_ts) / 2 FROM {silver}container_metrics WHERE container_id = 5" +).first()[0] +spark.sql(f"DELETE FROM {silver}channels WHERE container_id = 5 AND tstart > {mid}") +spark.sql( + f"UPDATE {silver}container_metrics SET last_modified = current_timestamp() " + "WHERE container_id = 5" +) +report.run() + +# COMMAND ---------- + +# 3. New histogram bins; the event is unchanged. +report = new_report(config(p, source=silver, incremental=incremental)) +add_rpm_histogram(report, bin_width=250) +before = versions(p, ["histogram_fact", "event_instance_fact"]) +report.run() +after = versions(p, ["histogram_fact", "event_instance_fact"]) +assert after["histogram_fact"] > before["histogram_fact"], "histogram was not recomputed" +assert after["event_instance_fact"] == before["event_instance_fact"], "event was rewritten" + +# COMMAND ---------- + +# Reference: a full run of the same report on the same data. +ref = f"{p.prefix}_ref" +reference = new_report(config(p, source=silver, unity_sink={"table_prefix": ref})) +add_rpm_histogram(reference, bin_width=250) +reference.run() + +for table in ["histogram_fact", "event_instance_fact"]: + check(p, table, gold(p, table), gold(p, table, prefix=ref)) + +events = gold(p, "event_instance_fact").where("container_id = 5") +original = expected(p, "event_instance_fact", events.schema, test="rpm_histogram") +assert events.count() < original.where("container_id = 5").count(), "container 5 was not updated" diff --git a/tests/e2e/e2e_pipeline.py b/tests/e2e/e2e_pipeline.py index c9a82593..4f48250c 100644 --- a/tests/e2e/e2e_pipeline.py +++ b/tests/e2e/e2e_pipeline.py @@ -1,20 +1,24 @@ # Databricks notebook source # MAGIC %md # MAGIC # e2e: pipeline -# MAGIC Adds a container event, per-container statistics and an RPM x speed heatmap to the -# MAGIC baseline report. +# MAGIC Adds a container event, per-container statistics, an RPM x speed heatmap and a +# MAGIC calculated channel to the baseline report. Statistics of the calculated channel's +# MAGIC expression must agree with and without an event, and with its persisted samples. # COMMAND ---------- +import pyspark.sql.functions as F from e2e_utils import add_rpm_histogram, channel, check, config, gold, new_report, params +from pyspark.testing import assertDataFrameEqual from impulse_reporting.aggregations.histogram2d import Histogram2DDuration from impulse_reporting.aggregations.stats_aggregator import StatsAggregator +from impulse_reporting.channels.calculated_channel import CalculatedChannel from impulse_reporting.core.page import Page from impulse_reporting.events.container_event import ContainerEvent p = params() -report = new_report(config(p)) +report = new_report(config(p, calculated_channels={"emit_channel_metrics": True})) high_rpm = add_rpm_histogram(report) names = ["Engine RPM", "Vehicle Speed Sensor", "Engine Coolant Temperature"] @@ -22,6 +26,11 @@ container = ContainerEvent(name="container", desc="Whole measurement") report.add_event(container) +delta = channel(report, "Engine Coolant Temperature") - channel(report, "Intake Air Temperature") +report.add_calculated_channel( + CalculatedChannel(name="coolant_minus_intake", expr=delta, identity={"channel_name": "delta"}) +) + page = Page(page_number=2) page.add_aggregation( StatsAggregator( @@ -32,6 +41,24 @@ event=container, ) ) +page.add_aggregation( + StatsAggregator( + name="delta_stats", + input_expressions=[delta], + channel_names=["coolant_minus_intake"], + statistics=["min", "mean", "max"], + event=container, + ) +) +# The same statistics without an event (the whole series). +page.add_aggregation( + StatsAggregator( + name="delta_stats_unscoped", + input_expressions=[delta], + channel_names=["coolant_minus_intake"], + statistics=["min", "mean", "max"], + ) +) page.add_aggregation( Histogram2DDuration( name="rpm_speed", @@ -50,5 +77,37 @@ # COMMAND ---------- -for table in ["stats_aggregator_fact", "histogram2d_fact"]: + +def delta_stats(scoped): + rows = gold(p, "stats_aggregator_fact").where(F.col("channel_name") == "coolant_minus_intake") + return ( + rows.where(F.col("event_id").isNotNull() if scoped else F.col("event_id").isNull()) + .groupBy(F.col("container_id").cast("long").alias("container_id")) + .pivot("aggregation_label", ["min", "mean", "max"]) + .agg(F.first("statistic_value")) + ) + + +# StatsAggregator only counts samples overlapping [start, end), so the zero-length last sample +# of each container (at its stop time) is skipped with or without an event. The calculated +# channel's metrics include it; they are covered by their expected file. +scoped = delta_stats(scoped=True) +assertDataFrameEqual(delta_stats(scoped=False), scoped, rtol=1e-9) + +fact = gold(p, "calculated_channel_fact").withColumn("dur", F.col("tend") - F.col("tstart")) +value = F.when(~F.isnan("value"), F.col("value")) +from_fact = ( + fact.where("dur > 0") + .groupBy(F.col("container_id").cast("long").alias("container_id")) + .agg( + F.min(value).alias("min"), + (F.sum(value * F.col("dur")) / F.sum("dur")).alias("mean"), + F.max(value).alias("max"), + ) +) +assertDataFrameEqual(from_fact, scoped, rtol=1e-9) + +# COMMAND ---------- + +for table in ["stats_aggregator_fact", "histogram2d_fact", "calculated_channel_metrics"]: check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_rpm_histogram.py b/tests/e2e/e2e_rpm_histogram.py index 50b59c30..9b8ad834 100644 --- a/tests/e2e/e2e_rpm_histogram.py +++ b/tests/e2e/e2e_rpm_histogram.py @@ -1,19 +1,30 @@ # Databricks notebook source # MAGIC %md # MAGIC # e2e: RPM histogram -# MAGIC Runs the baseline report twice. The second run must update the gold tables in place. +# MAGIC Runs the baseline report compute-only (nothing may be written), then twice with +# MAGIC persistence. The second run must update the gold tables in place. # COMMAND ---------- -from e2e_utils import add_rpm_histogram, check, config, gold, new_report, params +from e2e_utils import add_rpm_histogram, check, config, gold, new_report, params, spark + +from impulse_reporting.persist.fact_schema import HISTOGRAM_FACT_SCHEMA p = params() report = new_report(config(p)) add_rpm_histogram(report) -report.run() -report.run() # COMMAND ---------- +report.run(persist_results=False) +tables = spark.sql(f"SHOW TABLES IN {p.catalog}.{p.schema} LIKE '{p.prefix}_*'").collect() +assert not tables, f"compute-only run wrote tables: {[t.tableName for t in tables]}" +histogram = report.aggregation_dfs["HISTOGRAM"]["changed"] +check(p, "histogram_fact", histogram.select(HISTOGRAM_FACT_SCHEMA.fieldNames())) + +# COMMAND ---------- + +report.run() +report.run() for table in ["histogram_fact", "event_instance_fact"]: check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py index 8ad2ca41..431911b1 100644 --- a/tests/e2e/e2e_utils.py +++ b/tests/e2e/e2e_utils.py @@ -68,7 +68,7 @@ def channel(report, name): return report.get_db().query.channel(channel_name=name, brand="Seat", model="Leon") -def add_rpm_histogram(report): +def add_rpm_histogram(report, bin_width=500): """Baseline report: an RPM > 2000 event and the RPM duration histogram within it.""" eng_rpm = channel(report, "Engine RPM") high_rpm = BasicEvent(name="high_rpm", expr=eng_rpm > 2000, desc="Engine RPM above 2000") @@ -78,7 +78,7 @@ def add_rpm_histogram(report): HistogramDuration( name="rpm_distribution", base_expr=eng_rpm, - bins=[float(x) for x in range(0, 5001, 500)], + bins=[float(x) for x in range(0, 5001, bin_width)], event=high_rpm, channel_name="Engine RPM", bins_unit="rpm", @@ -89,8 +89,44 @@ def add_rpm_histogram(report): return high_rpm -def gold(p, table): - df = spark.read.table(f"{p.catalog}.{p.schema}.{p.prefix}_{table}") +def copy_silver(p): + """Empty copies of the silver tables, named `_src_*`, with a `last_modified` + column on container_metrics. Returns the source prefix for `config(p, source=...)`.""" + source = f"{p.catalog}.{p.schema}.{p.prefix}_src_" + for table in SILVER_TABLES: + extra = ", current_timestamp() AS last_modified" if table == "container_metrics" else "" + spark.sql( + f"CREATE TABLE {source}{table} AS SELECT *{extra} FROM {p.source}{table} WHERE false" + ) + return source + + +def load_silver(p, source, where): + """Copy the source rows matching `where` into the silver copy.""" + for table in SILVER_TABLES: + extra = ", current_timestamp()" if table == "container_metrics" else "" + spark.sql( + f"INSERT INTO {source}{table} SELECT *{extra} FROM {p.source}{table} WHERE {where}" + ) + + +def versions(p, tables): + """Latest Delta version of each of this test's gold tables.""" + return { + t: spark.sql(f"DESCRIBE HISTORY {p.catalog}.{p.schema}.{p.prefix}_{t} LIMIT 1") + .first() + .version + for t in tables + } + + +def event_ids(p): + rows = gold(p, "event_dimension").select("event_name", "event_id").collect() + return {r.event_name: r.event_id for r in rows} + + +def gold(p, table, prefix=None): + df = spark.read.table(f"{p.catalog}.{p.schema}.{prefix or p.prefix}_{table}") # Skip bookkeeping columns such as _created_at, which differ per run. return df.select([c for c in df.columns if not c.startswith("_")]) diff --git a/tests/e2e/expected/events/event_instance_fact.csv b/tests/e2e/expected/events/event_instance_fact.csv new file mode 100644 index 00000000..4ec03289 --- /dev/null +++ b/tests/e2e/expected/events/event_instance_fact.csv @@ -0,0 +1,1543 @@ +container_id,event_instance_id,event_id,start_ts,end_ts +2,-7671041284764574245,522132207,1.524470057481E9,1.524470268412E9 +13,-8412853447053484551,522132207,1.5216607562879999E9,1.5216608601179998E9 +5,-4288729205862753621,522132207,1.4999320001920002E9,1.499932008232E9 +5,9217996737281499714,522132207,1.4999320001920002E9,1.499932016422E9 +5,4721209340568052686,522132207,1.4999320001920002E9,1.499932092533E9 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RPM,745910964,4315244525696441730,mean,1327.9663862864177 +45,1536519691,Engine RPM,745910964,4315244525696441730,max,2292.0 +45,1536519691,Engine RPM,745910964,7590030972292935551,mean,1569.157640800476 +45,1536519691,Engine RPM,745910964,7590030972292935551,max,2282.0 +45,1536519691,Engine RPM,745910964,-3187728187773346668,mean,1097.0926523486773 +45,1536519691,Engine RPM,745910964,-3187728187773346668,max,2191.0 +45,1536519691,Engine RPM,745910964,-9219760119793553160,mean,920.265472152917 +45,1536519691,Engine RPM,745910964,-9219760119793553160,max,1563.0 +7,1536519691,Engine RPM,745910964,-1575696431128698070,mean,897.514436088403 +7,1536519691,Engine RPM,745910964,-1575696431128698070,max,2041.0 +7,1536519691,Engine RPM,745910964,4441835331308162902,mean,1112.0570268472036 +7,1536519691,Engine RPM,745910964,4441835331308162902,max,2099.0 +7,1536519691,Engine RPM,745910964,5678341495018836722,mean,1692.1508200931548 +7,1536519691,Engine 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RPM,745910964,2510768999311720794,mean,902.210144291432 +7,1536519691,Engine RPM,745910964,2510768999311720794,max,1185.0 +41,1536519691,Engine RPM,745910964,3574086066147502157,mean,1235.1099412083627 +41,1536519691,Engine RPM,745910964,3574086066147502157,max,2331.0 +41,1536519691,Engine RPM,745910964,-8782248760408932906,mean,1579.062815855344 +41,1536519691,Engine RPM,745910964,-8782248760408932906,max,2495.0 +41,1536519691,Engine RPM,745910964,-5734243973606819001,mean,1863.6634930356342 +41,1536519691,Engine RPM,745910964,-5734243973606819001,max,2231.0 +41,1536519691,Engine RPM,745910964,6315611372692410519,mean,1947.83866673549 +41,1536519691,Engine RPM,745910964,6315611372692410519,max,2145.0 +41,1536519691,Engine RPM,745910964,-6555484888291426989,mean,1545.5023397843042 +41,1536519691,Engine RPM,745910964,-6555484888291426989,max,2400.0 +41,1536519691,Engine RPM,745910964,1169088497852661825,mean,1687.1492634852727 +41,1536519691,Engine RPM,745910964,1169088497852661825,max,2192.0 +41,1536519691,Engine RPM,745910964,-6774449029795727498,mean,1692.2434133895238 +41,1536519691,Engine RPM,745910964,-6774449029795727498,max,1832.0 +41,1536519691,Engine RPM,745910964,2674415429667315288,mean,1508.802743528684 +41,1536519691,Engine RPM,745910964,2674415429667315288,max,2014.0 +41,1536519691,Engine RPM,745910964,-791191712237895765,mean,1182.1809596498808 +41,1536519691,Engine RPM,745910964,-791191712237895765,max,2764.0 +41,1536519691,Engine RPM,745910964,3469285717972103355,mean,879.6971944324915 +41,1536519691,Engine RPM,745910964,3469285717972103355,max,1000.0 +72,1536519691,Engine RPM,745910964,672693067900211197,mean,1507.798733145396 +72,1536519691,Engine RPM,745910964,672693067900211197,max,2412.0 +72,1536519691,Engine RPM,745910964,3148888468953660974,mean,1584.3820133709908 +72,1536519691,Engine RPM,745910964,3148888468953660974,max,2747.0 +72,1536519691,Engine RPM,745910964,7801797203497730709,mean,950.9511026779811 +72,1536519691,Engine RPM,745910964,7801797203497730709,max,2316.0 +72,1536519691,Engine RPM,745910964,2255748679435948642,mean,857.6554280429687 +72,1536519691,Engine RPM,745910964,2255748679435948642,max,1965.0 +63,1536519691,Engine RPM,745910964,-1269221360833096476,mean,1272.2206841492653 +63,1536519691,Engine RPM,745910964,-1269221360833096476,max,2255.0 +63,1536519691,Engine RPM,745910964,4375448815372264907,mean,1602.1809701808293 +63,1536519691,Engine RPM,745910964,4375448815372264907,max,2580.0 +63,1536519691,Engine RPM,745910964,-8305573418501514303,mean,1242.0609563390415 +63,1536519691,Engine RPM,745910964,-8305573418501514303,max,2288.0 +63,1536519691,Engine RPM,745910964,6314511237800416223,mean,1092.358986372153 +63,1536519691,Engine RPM,745910964,6314511237800416223,max,2053.0 +63,1536519691,Engine RPM,745910964,-21125770242438815,mean,790.1616658981641 +63,1536519691,Engine RPM,745910964,-21125770242438815,max,1953.0 +63,1536519691,Engine RPM,745910964,2665250183196145748,mean,868.7472486523451 +63,1536519691,Engine RPM,745910964,2665250183196145748,max,1295.0 +64,1536519691,Engine RPM,745910964,-8143549118267203955,mean,1242.0870408964156 +64,1536519691,Engine RPM,745910964,-8143549118267203955,max,2150.0 +64,1536519691,Engine RPM,745910964,-4624890809836478233,mean,1553.1503348120054 +64,1536519691,Engine RPM,745910964,-4624890809836478233,max,2643.0 +64,1536519691,Engine RPM,745910964,-2737485545156105112,mean,875.7111934693654 +64,1536519691,Engine RPM,745910964,-2737485545156105112,max,2979.0 +64,1536519691,Engine RPM,745910964,142948589664608569,mean,856.7364074444771 +64,1536519691,Engine RPM,745910964,142948589664608569,max,1898.0 +64,1536519691,Engine RPM,745910964,7493057194017455753,mean,737.0955633425713 +64,1536519691,Engine RPM,745910964,7493057194017455753,max,1992.0 +64,1536519691,Engine RPM,745910964,8021943239424666059,mean,1085.6728757971327 +64,1536519691,Engine RPM,745910964,8021943239424666059,max,1662.0 +66,1536519691,Engine RPM,745910964,-8286804528684105363,mean,1419.9499404939015 +66,1536519691,Engine RPM,745910964,-8286804528684105363,max,2300.0 +66,1536519691,Engine RPM,745910964,9065500985058428865,mean,1571.7400278441112 +66,1536519691,Engine RPM,745910964,9065500985058428865,max,2577.0 +66,1536519691,Engine RPM,745910964,28901727621183528,mean,1319.4391937677065 +66,1536519691,Engine RPM,745910964,28901727621183528,max,2132.0 +66,1536519691,Engine RPM,745910964,-567318763803567474,mean,1082.851170337995 +66,1536519691,Engine RPM,745910964,-567318763803567474,max,2064.0 +66,1536519691,Engine RPM,745910964,5229926217377041228,mean,1143.1795018253993 +66,1536519691,Engine RPM,745910964,5229926217377041228,max,2014.0 +1,1536519691,Engine RPM,745910964,8875257982984704524,mean,1074.0497238667806 +1,1536519691,Engine RPM,745910964,8875257982984704524,max,2306.0 +1,1536519691,Engine RPM,745910964,938876309348206841,mean,662.1788133064906 +1,1536519691,Engine RPM,745910964,938876309348206841,max,2205.0 +1,1536519691,Engine RPM,745910964,5707445515013115955,mean,850.1609526181221 +1,1536519691,Engine RPM,745910964,5707445515013115955,max,2402.0 +1,1536519691,Engine RPM,745910964,6377643313599196448,mean,528.4362329761187 +1,1536519691,Engine RPM,745910964,6377643313599196448,max,2244.0 +1,1536519691,Engine RPM,745910964,1773239012860104997,mean,771.5255669673284 +1,1536519691,Engine RPM,745910964,1773239012860104997,max,2246.0 +1,1536519691,Engine RPM,745910964,-1193106055168738201,mean,712.5034809732438 +1,1536519691,Engine RPM,745910964,-1193106055168738201,max,2047.0 +1,1536519691,Engine RPM,745910964,-3198205770751622715,mean,826.6920678901672 +1,1536519691,Engine RPM,745910964,-3198205770751622715,max,1979.0 +1,1536519691,Engine RPM,745910964,4472967323674980364,mean,535.6799564607938 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RPM,745910964,-5218866671093640804,mean,1287.4663038555782 +1,1536519691,Engine RPM,745910964,-5218866671093640804,max,2247.0 +1,1536519691,Engine RPM,745910964,-5891350563957508709,mean,1185.1137595097223 +1,1536519691,Engine RPM,745910964,-5891350563957508709,max,1883.0 +1,1536519691,Engine RPM,745910964,6884862743112325205,mean,1282.919756700198 +1,1536519691,Engine RPM,745910964,6884862743112325205,max,2039.0 +1,1536519691,Engine RPM,745910964,-1449812999872945917,mean,1680.2158556016286 +1,1536519691,Engine RPM,745910964,-1449812999872945917,max,2321.0 +1,1536519691,Engine RPM,745910964,7587134247671814270,mean,2373.058806764285 +1,1536519691,Engine RPM,745910964,7587134247671814270,max,3430.0 +1,1536519691,Engine RPM,745910964,1968556005765860091,mean,1887.1111834534008 +1,1536519691,Engine RPM,745910964,1968556005765860091,max,2938.0 +1,1536519691,Engine RPM,745910964,5010699828711320350,mean,1680.1575634527208 +1,1536519691,Engine RPM,745910964,5010699828711320350,max,3129.0 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RPM,745910964,2568604629163108742,max,2343.0 +15,1536519691,Engine RPM,745910964,2906751487955642834,mean,1472.3290964857738 +15,1536519691,Engine RPM,745910964,2906751487955642834,max,2692.0 +15,1536519691,Engine RPM,745910964,4908775548297115885,mean,1822.399066883723 +15,1536519691,Engine RPM,745910964,4908775548297115885,max,2226.0 +15,1536519691,Engine RPM,745910964,5225779253719897954,mean,1519.2649662597973 +15,1536519691,Engine RPM,745910964,5225779253719897954,max,2523.0 +15,1536519691,Engine RPM,745910964,-7698417096165550918,mean,1106.1104227161406 +15,1536519691,Engine RPM,745910964,-7698417096165550918,max,2471.0 +15,1536519691,Engine RPM,745910964,-6645142807586739719,mean,1152.3451103409132 +15,1536519691,Engine RPM,745910964,-6645142807586739719,max,2101.0 +15,1536519691,Engine RPM,745910964,-283579283857755251,mean,1266.1403602878252 +15,1536519691,Engine RPM,745910964,-283579283857755251,max,2329.0 +15,1536519691,Engine RPM,745910964,5970771295328177251,mean,1468.8624298167229 +15,1536519691,Engine RPM,745910964,5970771295328177251,max,2011.0 +15,1536519691,Engine RPM,745910964,-6320649861837855477,mean,1706.7195797157287 +15,1536519691,Engine RPM,745910964,-6320649861837855477,max,2158.0 +15,1536519691,Engine RPM,745910964,-820192961390300268,mean,1322.0434764591853 +15,1536519691,Engine RPM,745910964,-820192961390300268,max,2290.0 +15,1536519691,Engine RPM,745910964,-1447461554229778461,mean,1535.0527400279045 +15,1536519691,Engine RPM,745910964,-1447461554229778461,max,2067.0 +15,1536519691,Engine RPM,745910964,-7296528438346717583,mean,1651.7031130178768 +15,1536519691,Engine RPM,745910964,-7296528438346717583,max,2331.0 +15,1536519691,Engine RPM,745910964,3395477155667464991,mean,1291.917943892479 +15,1536519691,Engine RPM,745910964,3395477155667464991,max,2882.0 +15,1536519691,Engine RPM,745910964,4882925448271107770,mean,1118.0613633880112 +15,1536519691,Engine RPM,745910964,4882925448271107770,max,2480.0 +77,1536519691,Engine RPM,745910964,-5336126504460816030,mean,989.0199862821897 +77,1536519691,Engine RPM,745910964,-5336126504460816030,max,2082.0 +77,1536519691,Engine RPM,745910964,6225242508679629477,mean,1286.6283473038673 +77,1536519691,Engine RPM,745910964,6225242508679629477,max,2296.0 +77,1536519691,Engine RPM,745910964,1788815940932196627,mean,1482.0655344700813 +77,1536519691,Engine RPM,745910964,1788815940932196627,max,2172.0 +77,1536519691,Engine RPM,745910964,4373929071956855290,mean,1393.9319269506136 +77,1536519691,Engine RPM,745910964,4373929071956855290,max,2312.0 +77,1536519691,Engine RPM,745910964,-291047149943232095,mean,891.5867546373278 +77,1536519691,Engine RPM,745910964,-291047149943232095,max,1172.0 +3,1536519691,Engine RPM,745910964,3780034264133306121,mean,814.8704470038414 +3,1536519691,Engine RPM,745910964,3780034264133306121,max,2212.0 +3,1536519691,Engine RPM,745910964,-6823042328314033881,mean,653.9653233583768 +3,1536519691,Engine RPM,745910964,-6823042328314033881,max,2081.0 +3,1536519691,Engine RPM,745910964,-3214081233185248377,mean,893.604256611665 +3,1536519691,Engine RPM,745910964,-3214081233185248377,max,2193.0 +3,1536519691,Engine RPM,745910964,-1955934729469552435,mean,1781.10350605011 +3,1536519691,Engine RPM,745910964,-1955934729469552435,max,2114.0 +3,1536519691,Engine RPM,745910964,6882758434550714032,mean,1482.5961563666663 +3,1536519691,Engine RPM,745910964,6882758434550714032,max,2218.0 +3,1536519691,Engine RPM,745910964,-5959935432884124401,mean,1125.8627201406161 +3,1536519691,Engine RPM,745910964,-5959935432884124401,max,2136.0 +3,1536519691,Engine RPM,745910964,-9140725302440356623,mean,1394.1326363611222 +3,1536519691,Engine RPM,745910964,-9140725302440356623,max,2301.0 +3,1536519691,Engine RPM,745910964,-4262717597617647296,mean,1688.780753408273 +3,1536519691,Engine RPM,745910964,-4262717597617647296,max,2694.0 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RPM,745910964,-8996427653504169249,max,1957.0 +3,1536519691,Engine RPM,745910964,4556415796106061527,mean,1730.9758265439668 +3,1536519691,Engine RPM,745910964,4556415796106061527,max,2115.0 +3,1536519691,Engine RPM,745910964,-3064727267966046939,mean,2093.1325066582363 +3,1536519691,Engine RPM,745910964,-3064727267966046939,max,2195.0 +3,1536519691,Engine RPM,745910964,-1384270291534898911,mean,1784.197606540521 +3,1536519691,Engine RPM,745910964,-1384270291534898911,max,2166.0 +3,1536519691,Engine RPM,745910964,-1702073481242970259,mean,1223.02599848032 +3,1536519691,Engine RPM,745910964,-1702073481242970259,max,2971.0 +3,1536519691,Engine RPM,745910964,-7973545053930821760,mean,1201.4727671249707 +3,1536519691,Engine RPM,745910964,-7973545053930821760,max,2374.0 +3,1536519691,Engine RPM,745910964,-4307367080532222271,mean,965.0248500140508 +3,1536519691,Engine RPM,745910964,-4307367080532222271,max,2302.0 +3,1536519691,Engine RPM,745910964,4200455463650644899,mean,634.8712706490529 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RPM,745910964,4913536188675398570,mean,1660.5741698288919 +37,1536519691,Engine RPM,745910964,4913536188675398570,max,2173.0 +37,1536519691,Engine RPM,745910964,-591428050868788492,mean,1886.2277267066638 +37,1536519691,Engine RPM,745910964,-591428050868788492,max,2127.0 +37,1536519691,Engine RPM,745910964,5180378213186871773,mean,1595.1283933027585 +37,1536519691,Engine RPM,745910964,5180378213186871773,max,2114.0 +37,1536519691,Engine RPM,745910964,-6422369460189900535,mean,1286.3213559007645 +37,1536519691,Engine RPM,745910964,-6422369460189900535,max,2991.0 +37,1536519691,Engine RPM,745910964,-3698762339346946909,mean,870.272520997827 +37,1536519691,Engine RPM,745910964,-3698762339346946909,max,2178.0 +27,1536519691,Engine RPM,745910964,9083768087307206802,mean,1067.3940082120896 +27,1536519691,Engine RPM,745910964,9083768087307206802,max,2501.0 +27,1536519691,Engine RPM,745910964,-6963394325256589191,mean,1341.5903476993242 +27,1536519691,Engine RPM,745910964,-6963394325256589191,max,2332.0 +27,1536519691,Engine RPM,745910964,-7685474343223748224,mean,1814.126083328724 +27,1536519691,Engine RPM,745910964,-7685474343223748224,max,2202.0 +27,1536519691,Engine RPM,745910964,-261332312490526881,mean,1807.0003169473011 +27,1536519691,Engine RPM,745910964,-261332312490526881,max,2118.0 +27,1536519691,Engine RPM,745910964,438020936178688890,mean,1372.3280194020272 +27,1536519691,Engine RPM,745910964,438020936178688890,max,2228.0 +27,1536519691,Engine RPM,745910964,-7178921110966090630,mean,1730.0894832285246 +27,1536519691,Engine RPM,745910964,-7178921110966090630,max,2169.0 +27,1536519691,Engine RPM,745910964,1946535210605434131,mean,1155.442256687482 +27,1536519691,Engine RPM,745910964,1946535210605434131,max,2151.0 +27,1536519691,Engine RPM,745910964,-6694276480680481729,mean,1264.5147326453528 +27,1536519691,Engine RPM,745910964,-6694276480680481729,max,1974.0 +27,1536519691,Engine RPM,745910964,7232725486895567108,mean,1620.6104437939325 +27,1536519691,Engine RPM,745910964,7232725486895567108,max,2115.0 +27,1536519691,Engine RPM,745910964,-3734770395096053232,mean,1507.2265770220756 +27,1536519691,Engine RPM,745910964,-3734770395096053232,max,2376.0 +27,1536519691,Engine RPM,745910964,-1244894449368047835,mean,1105.5668704495565 +27,1536519691,Engine RPM,745910964,-1244894449368047835,max,2189.0 +57,1536519691,Engine RPM,745910964,8236308514852961494,mean,1410.972807577451 +57,1536519691,Engine RPM,745910964,8236308514852961494,max,2388.0 +57,1536519691,Engine RPM,745910964,-5937075581180210831,mean,1867.5577399516105 +57,1536519691,Engine RPM,745910964,-5937075581180210831,max,2280.0 +57,1536519691,Engine RPM,745910964,2798988274951073253,mean,1875.3455069772403 +57,1536519691,Engine RPM,745910964,2798988274951073253,max,2607.0 +57,1536519691,Engine RPM,745910964,6423961792183112955,mean,2138.1855533107123 +57,1536519691,Engine RPM,745910964,6423961792183112955,max,2176.0 +57,1536519691,Engine RPM,745910964,7130209377026546844,mean,1592.2162366263071 +57,1536519691,Engine RPM,745910964,7130209377026546844,max,2830.0 +57,1536519691,Engine RPM,745910964,8381755345175698468,mean,1355.312003255685 +57,1536519691,Engine RPM,745910964,8381755345175698468,max,2830.0 +57,1536519691,Engine RPM,745910964,7195377734099685243,mean,880.2790918226793 +57,1536519691,Engine RPM,745910964,7195377734099685243,max,1586.0 +24,1536519691,Engine RPM,745910964,-1537583111560798401,mean,1149.4481799395878 +24,1536519691,Engine RPM,745910964,-1537583111560798401,max,2529.0 +24,1536519691,Engine RPM,745910964,6526277756867503710,mean,1420.2926902977626 +24,1536519691,Engine RPM,745910964,6526277756867503710,max,2246.0 +24,1536519691,Engine RPM,745910964,-4266343231573748289,mean,1830.6390433303516 +24,1536519691,Engine RPM,745910964,-4266343231573748289,max,2118.0 +24,1536519691,Engine RPM,745910964,-3276232942622240198,mean,1826.351529932817 +24,1536519691,Engine RPM,745910964,-3276232942622240198,max,2118.0 +24,1536519691,Engine RPM,745910964,2582805025726001436,mean,1508.7577362593015 +24,1536519691,Engine RPM,745910964,2582805025726001436,max,2219.0 +24,1536519691,Engine RPM,745910964,-3512618114494358599,mean,1695.5913766892752 +24,1536519691,Engine RPM,745910964,-3512618114494358599,max,2216.0 +24,1536519691,Engine RPM,745910964,-6922587959762112025,mean,1309.8396872520448 +24,1536519691,Engine RPM,745910964,-6922587959762112025,max,2046.0 +24,1536519691,Engine RPM,745910964,-4537788791189585877,mean,1561.375797308286 +24,1536519691,Engine RPM,745910964,-4537788791189585877,max,2117.0 +24,1536519691,Engine RPM,745910964,2978347629267095352,mean,1039.6113030282656 +24,1536519691,Engine RPM,745910964,2978347629267095352,max,2402.0 +24,1536519691,Engine RPM,745910964,-9175385915559179312,mean,1597.9193965593975 +24,1536519691,Engine RPM,745910964,-9175385915559179312,max,2283.0 +24,1536519691,Engine RPM,745910964,-8286329374967847278,mean,1204.289179749249 +24,1536519691,Engine RPM,745910964,-8286329374967847278,max,2606.0 +52,1536519691,Engine RPM,745910964,-6332900761395878276,mean,1545.7691335185368 +52,1536519691,Engine RPM,745910964,-6332900761395878276,max,2645.0 +52,1536519691,Engine RPM,745910964,-3865414748383747534,mean,1487.0958166535695 +52,1536519691,Engine RPM,745910964,-3865414748383747534,max,1785.0 +52,1536519691,Engine RPM,745910964,-6609697118226098791,mean,1476.7738762291272 +52,1536519691,Engine RPM,745910964,-6609697118226098791,max,2008.0 +52,1536519691,Engine RPM,745910964,-3088360589243564056,mean,1577.1251497324308 +52,1536519691,Engine RPM,745910964,-3088360589243564056,max,1842.0 +52,1536519691,Engine RPM,745910964,6117842634145539632,mean,1823.5574332427977 +52,1536519691,Engine RPM,745910964,6117842634145539632,max,2120.0 +52,1536519691,Engine RPM,745910964,7307058766706405400,mean,1889.4916868170103 +52,1536519691,Engine RPM,745910964,7307058766706405400,max,2117.0 +52,1536519691,Engine RPM,745910964,2248292560349997582,mean,1420.931960433324 +52,1536519691,Engine RPM,745910964,2248292560349997582,max,1755.0 +52,1536519691,Engine RPM,745910964,-103981040710706597,mean,1271.1830398893355 +52,1536519691,Engine RPM,745910964,-103981040710706597,max,2382.0 +52,1536519691,Engine RPM,745910964,-5488274148287547199,mean,863.3350449969588 +52,1536519691,Engine RPM,745910964,-5488274148287547199,max,1016.0 +28,1536519691,Engine RPM,745910964,-2677844161245352413,mean,1212.4121327757834 +28,1536519691,Engine RPM,745910964,-2677844161245352413,max,2411.0 +28,1536519691,Engine RPM,745910964,4668512283306762847,mean,1440.546870501836 +28,1536519691,Engine RPM,745910964,4668512283306762847,max,2530.0 +28,1536519691,Engine RPM,745910964,8407469492816637968,mean,1688.315146861871 +28,1536519691,Engine RPM,745910964,8407469492816637968,max,2321.0 +28,1536519691,Engine RPM,745910964,-8832034668248550414,mean,2074.376722737948 +28,1536519691,Engine RPM,745910964,-8832034668248550414,max,2592.0 +28,1536519691,Engine RPM,745910964,8283219178671761993,mean,1446.375829718113 +28,1536519691,Engine RPM,745910964,8283219178671761993,max,2388.0 +28,1536519691,Engine RPM,745910964,-8485084427646956984,mean,1441.2753035879134 +28,1536519691,Engine RPM,745910964,-8485084427646956984,max,2142.0 +28,1536519691,Engine RPM,745910964,4618758841896941382,mean,1791.0569565924009 +28,1536519691,Engine RPM,745910964,4618758841896941382,max,2311.0 +28,1536519691,Engine RPM,745910964,-2560247461628312481,mean,1707.2377934320768 +28,1536519691,Engine RPM,745910964,-2560247461628312481,max,1984.0 +28,1536519691,Engine RPM,745910964,-3833504591497902390,mean,1533.9268638475735 +28,1536519691,Engine RPM,745910964,-3833504591497902390,max,2135.0 +28,1536519691,Engine RPM,745910964,-7882565274308053418,mean,1156.8067530989647 +28,1536519691,Engine RPM,745910964,-7882565274308053418,max,2250.0 +28,1536519691,Engine RPM,745910964,-8620111533418283780,mean,941.8721592355463 +28,1536519691,Engine RPM,745910964,-8620111533418283780,max,2122.0 +54,1536519691,Engine RPM,745910964,2615105428072715308,mean,1521.443366824786 +54,1536519691,Engine RPM,745910964,2615105428072715308,max,2328.0 +54,1536519691,Engine RPM,745910964,-4769146476807791269,mean,1437.6358799664179 +54,1536519691,Engine RPM,745910964,-4769146476807791269,max,1488.0 +54,1536519691,Engine RPM,745910964,-3548703172243916306,mean,1777.37944344759 +54,1536519691,Engine RPM,745910964,-3548703172243916306,max,2095.0 +54,1536519691,Engine RPM,745910964,-7798580379977728128,mean,1764.0299535059928 +54,1536519691,Engine RPM,745910964,-7798580379977728128,max,2113.0 +54,1536519691,Engine RPM,745910964,1334371325870176354,mean,2063.642999946276 +54,1536519691,Engine RPM,745910964,1334371325870176354,max,2119.0 +54,1536519691,Engine RPM,745910964,7559933521206485907,mean,1662.4033466498056 +54,1536519691,Engine RPM,745910964,7559933521206485907,max,2118.0 +54,1536519691,Engine RPM,745910964,4506891607519065730,mean,1254.9349171177546 +54,1536519691,Engine RPM,745910964,4506891607519065730,max,2892.0 +54,1536519691,Engine RPM,745910964,8221052949758830068,mean,975.4165928539709 +54,1536519691,Engine RPM,745910964,8221052949758830068,max,2204.0 +39,1536519691,Engine RPM,745910964,-1538609581014763856,mean,1284.9643227672577 +39,1536519691,Engine RPM,745910964,-1538609581014763856,max,2542.0 +39,1536519691,Engine RPM,745910964,9131779943923487263,mean,1608.0064507603645 +39,1536519691,Engine RPM,745910964,9131779943923487263,max,3132.0 +39,1536519691,Engine RPM,745910964,6317029511703902021,mean,1406.1771731845538 +39,1536519691,Engine RPM,745910964,6317029511703902021,max,1724.0 +39,1536519691,Engine RPM,745910964,-3811743337643306468,mean,1808.734470058282 +39,1536519691,Engine RPM,745910964,-3811743337643306468,max,2190.0 +39,1536519691,Engine RPM,745910964,1179356665844601314,mean,1780.9046396247545 +39,1536519691,Engine RPM,745910964,1179356665844601314,max,2111.0 +39,1536519691,Engine RPM,745910964,-5746725152572574677,mean,2071.5674300376572 +39,1536519691,Engine RPM,745910964,-5746725152572574677,max,2115.0 +39,1536519691,Engine RPM,745910964,1353302010199346022,mean,1671.0235001770654 +39,1536519691,Engine RPM,745910964,1353302010199346022,max,3788.0 +39,1536519691,Engine RPM,745910964,-8327179502495924139,mean,1380.861856010755 +39,1536519691,Engine RPM,745910964,-8327179502495924139,max,2778.0 +39,1536519691,Engine RPM,745910964,5745111680740497671,mean,1096.7903468775748 +39,1536519691,Engine RPM,745910964,5745111680740497671,max,2710.0 +39,1536519691,Engine RPM,745910964,-5018756598418815067,mean,912.8624312934998 +39,1536519691,Engine RPM,745910964,-5018756598418815067,max,982.0 +35,1536519691,Engine RPM,745910964,4608348971451563194,mean,1238.8326133624712 +35,1536519691,Engine RPM,745910964,4608348971451563194,max,2342.0 +35,1536519691,Engine RPM,745910964,-4338010239045929323,mean,1482.688746755918 +35,1536519691,Engine RPM,745910964,-4338010239045929323,max,2455.0 +35,1536519691,Engine RPM,745910964,-2807795016804461979,mean,1832.270200445652 +35,1536519691,Engine RPM,745910964,-2807795016804461979,max,2379.0 +35,1536519691,Engine RPM,745910964,-2625565273746617428,mean,1865.8942797311147 +35,1536519691,Engine RPM,745910964,-2625565273746617428,max,2201.0 +35,1536519691,Engine RPM,745910964,-3327392929513634832,mean,1557.554090599219 +35,1536519691,Engine RPM,745910964,-3327392929513634832,max,2342.0 +35,1536519691,Engine RPM,745910964,1159396907790531675,mean,1743.5131105311712 +35,1536519691,Engine RPM,745910964,1159396907790531675,max,2211.0 +35,1536519691,Engine RPM,745910964,-2581735465894246449,mean,1756.5356166418394 +35,1536519691,Engine RPM,745910964,-2581735465894246449,max,1830.0 +35,1536519691,Engine RPM,745910964,-6938896396345349204,mean,1688.3264567081133 +35,1536519691,Engine RPM,745910964,-6938896396345349204,max,1848.0 +35,1536519691,Engine RPM,745910964,1817803173201003271,mean,1276.4701765370369 +35,1536519691,Engine RPM,745910964,1817803173201003271,max,2720.0 +35,1536519691,Engine RPM,745910964,5496042843910326364,mean,1083.9320515219656 +35,1536519691,Engine RPM,745910964,5496042843910326364,max,2759.0 +43,1536519691,Engine RPM,745910964,-2054871621887576036,mean,1134.8102969821293 +43,1536519691,Engine RPM,745910964,-2054871621887576036,max,2302.0 +43,1536519691,Engine RPM,745910964,2447685925497120289,mean,1429.4089099407197 +43,1536519691,Engine RPM,745910964,2447685925497120289,max,2274.0 +43,1536519691,Engine RPM,745910964,362554310348235552,mean,1730.8636100006104 +43,1536519691,Engine RPM,745910964,362554310348235552,max,2118.0 +43,1536519691,Engine RPM,745910964,-8946721349466728704,mean,2083.299996623993 +43,1536519691,Engine RPM,745910964,-8946721349466728704,max,2208.0 +43,1536519691,Engine RPM,745910964,4270543182284347807,mean,1705.3765201274555 +43,1536519691,Engine RPM,745910964,4270543182284347807,max,1895.0 +43,1536519691,Engine RPM,745910964,-1505072131660668023,mean,1838.8149898878733 +43,1536519691,Engine RPM,745910964,-1505072131660668023,max,2066.0 +43,1536519691,Engine RPM,745910964,-8434441141689078847,mean,1798.2378159618377 +43,1536519691,Engine RPM,745910964,-8434441141689078847,max,2111.0 +43,1536519691,Engine RPM,745910964,5767538961740833065,mean,1412.1168870838483 +43,1536519691,Engine RPM,745910964,5767538961740833065,max,2053.0 +43,1536519691,Engine RPM,745910964,4571485651420905999,mean,1323.043566161608 +43,1536519691,Engine RPM,745910964,4571485651420905999,max,2792.0 +49,1536519691,Engine RPM,745910964,106804752690279221,mean,1196.1030226953824 +49,1536519691,Engine RPM,745910964,106804752690279221,max,2731.0 +49,1536519691,Engine RPM,745910964,-7709133213647254587,mean,1589.457166516781 +49,1536519691,Engine RPM,745910964,-7709133213647254587,max,2392.0 +49,1536519691,Engine RPM,745910964,5368006511365474688,mean,1849.88497332414 +49,1536519691,Engine RPM,745910964,5368006511365474688,max,2108.0 +49,1536519691,Engine RPM,745910964,5907661073737108426,mean,1695.0201802444458 +49,1536519691,Engine RPM,745910964,5907661073737108426,max,1963.0 +49,1536519691,Engine RPM,745910964,-8608941180494710575,mean,1823.942426621914 +49,1536519691,Engine RPM,745910964,-8608941180494710575,max,2109.0 +49,1536519691,Engine RPM,745910964,-5124626396138789719,mean,1526.0209101104736 +49,1536519691,Engine RPM,745910964,-5124626396138789719,max,1784.0 +49,1536519691,Engine RPM,745910964,-5741114114852943263,mean,1569.7299791018168 +49,1536519691,Engine RPM,745910964,-5741114114852943263,max,3136.0 +49,1536519691,Engine RPM,745910964,6822084326153835695,mean,1440.0854776517344 +49,1536519691,Engine RPM,745910964,6822084326153835695,max,2621.0 +22,1536519691,Engine RPM,745910964,2864083293524467064,mean,1161.8770401771862 +22,1536519691,Engine RPM,745910964,2864083293524467064,max,2206.0 +22,1536519691,Engine RPM,745910964,2960411072634856518,mean,1528.715584464868 +22,1536519691,Engine RPM,745910964,2960411072634856518,max,2712.0 +22,1536519691,Engine RPM,745910964,6920050736403608800,mean,1919.2040765221914 +22,1536519691,Engine RPM,745910964,6920050736403608800,max,2940.0 +22,1536519691,Engine RPM,745910964,360803851186980362,mean,1873.7117333698272 +22,1536519691,Engine RPM,745910964,360803851186980362,max,2227.0 +22,1536519691,Engine RPM,745910964,-6027048906097933090,mean,1682.001427658399 +22,1536519691,Engine RPM,745910964,-6027048906097933090,max,2357.0 +22,1536519691,Engine RPM,745910964,1727098260530064274,mean,1356.6758261942864 +22,1536519691,Engine RPM,745910964,1727098260530064274,max,2103.0 +22,1536519691,Engine RPM,745910964,2749891532785855874,mean,2346.6076966460546 +22,1536519691,Engine RPM,745910964,2749891532785855874,max,3563.0 +22,1536519691,Engine RPM,745910964,6541864822418325017,mean,1799.3233801436425 +22,1536519691,Engine RPM,745910964,6541864822418325017,max,2787.0 +22,1536519691,Engine RPM,745910964,-8009073954534156624,mean,1069.193953414758 +22,1536519691,Engine RPM,745910964,-8009073954534156624,max,2007.0 +22,1536519691,Engine RPM,745910964,-263848206709743432,mean,1453.0367559862136 +22,1536519691,Engine RPM,745910964,-263848206709743432,max,2961.0 +22,1536519691,Engine RPM,745910964,-7124612959086599148,mean,1543.2111741407712 +22,1536519691,Engine RPM,745910964,-7124612959086599148,max,2854.0 +22,1536519691,Engine RPM,745910964,-2392894751342216267,mean,1182.2063493886267 +22,1536519691,Engine RPM,745910964,-2392894751342216267,max,2588.0 +76,1536519691,Engine RPM,745910964,-6019577874990710800,mean,1210.2480228583017 +76,1536519691,Engine RPM,745910964,-6019577874990710800,max,2123.0 +76,1536519691,Engine RPM,745910964,8937148486977750206,mean,1492.0008393271764 +76,1536519691,Engine RPM,745910964,8937148486977750206,max,2473.0 +76,1536519691,Engine RPM,745910964,-4960327926342816713,mean,1582.831169113318 +76,1536519691,Engine RPM,745910964,-4960327926342816713,max,2590.0 +76,1536519691,Engine RPM,745910964,-6255142389537189555,mean,901.2329936679205 +76,1536519691,Engine RPM,745910964,-6255142389537189555,max,1826.0 +76,1536519691,Engine RPM,745910964,-7614446847196838290,mean,262.2920274221455 +76,1536519691,Engine RPM,745910964,-7614446847196838290,max,317.0 +16,1536519691,Engine RPM,745910964,6107773164197527345,mean,1161.5606678851445 +16,1536519691,Engine RPM,745910964,6107773164197527345,max,2168.0 +16,1536519691,Engine RPM,745910964,-5265797360735461441,mean,1184.8530601930618 +16,1536519691,Engine RPM,745910964,-5265797360735461441,max,2215.0 +16,1536519691,Engine RPM,745910964,-614497197539140352,mean,1694.084740591844 +16,1536519691,Engine RPM,745910964,-614497197539140352,max,2423.0 +16,1536519691,Engine RPM,745910964,-3072665507709440038,mean,2112.0596097954112 +16,1536519691,Engine RPM,745910964,-3072665507709440038,max,2285.0 +16,1536519691,Engine RPM,745910964,-5299434826558095654,mean,2086.363436805407 +16,1536519691,Engine RPM,745910964,-5299434826558095654,max,2496.0 +16,1536519691,Engine RPM,745910964,-2786925208164110270,mean,1931.8250934688251 +16,1536519691,Engine RPM,745910964,-2786925208164110270,max,2874.0 +16,1536519691,Engine RPM,745910964,7849465976300977560,mean,2369.2266035469374 +16,1536519691,Engine RPM,745910964,7849465976300977560,max,3177.0 +16,1536519691,Engine RPM,745910964,-5886274104379228067,mean,2291.657873166402 +16,1536519691,Engine RPM,745910964,-5886274104379228067,max,3139.0 +16,1536519691,Engine RPM,745910964,6517225403329467992,mean,2092.545839929581 +16,1536519691,Engine RPM,745910964,6517225403329467992,max,2208.0 +16,1536519691,Engine RPM,745910964,1063966085164033398,mean,1574.1691238880157 +16,1536519691,Engine RPM,745910964,1063966085164033398,max,2196.0 +16,1536519691,Engine RPM,745910964,-4132769023253491752,mean,1618.7660065698624 +16,1536519691,Engine RPM,745910964,-4132769023253491752,max,2468.0 +16,1536519691,Engine RPM,745910964,7278012211314841691,mean,1957.9385433975856 +16,1536519691,Engine RPM,745910964,7278012211314841691,max,2119.0 +16,1536519691,Engine RPM,745910964,-6158848408758872835,mean,1659.647826748689 +16,1536519691,Engine RPM,745910964,-6158848408758872835,max,2116.0 +16,1536519691,Engine RPM,745910964,254800772683825806,mean,1418.3529969358444 +16,1536519691,Engine RPM,745910964,254800772683825806,max,2501.0 +16,1536519691,Engine RPM,745910964,-5259334394663631622,mean,762.5868320918597 +16,1536519691,Engine RPM,745910964,-5259334394663631622,max,2153.0 +70,1536519691,Engine RPM,745910964,-1168189963180006749,mean,1356.7573299105961 +70,1536519691,Engine RPM,745910964,-1168189963180006749,max,2488.0 +70,1536519691,Engine RPM,745910964,-6976670815068126734,mean,1545.7264436920484 +70,1536519691,Engine RPM,745910964,-6976670815068126734,max,2107.0 +70,1536519691,Engine RPM,745910964,-3874629198102015491,mean,1052.8085466766358 +70,1536519691,Engine RPM,745910964,-3874629198102015491,max,2534.0 +70,1536519691,Engine RPM,745910964,1176705926579718350,mean,711.5311030419667 +70,1536519691,Engine RPM,745910964,1176705926579718350,max,2266.0 +70,1536519691,Engine RPM,745910964,8763995863779424457,mean,933.2946186209936 +70,1536519691,Engine RPM,745910964,8763995863779424457,max,1248.0 +4,1536519691,Engine RPM,745910964,6187720317435546726,mean,1190.3450028006237 +4,1536519691,Engine RPM,745910964,6187720317435546726,max,2552.0 +4,1536519691,Engine RPM,745910964,3196499048653251698,mean,1451.9693210697174 +4,1536519691,Engine RPM,745910964,3196499048653251698,max,2325.0 +4,1536519691,Engine RPM,745910964,8152465823496294332,mean,1841.0501229659717 +4,1536519691,Engine RPM,745910964,8152465823496294332,max,2414.0 +4,1536519691,Engine RPM,745910964,2871482645302695444,mean,1564.0025070405006 +4,1536519691,Engine RPM,745910964,2871482645302695444,max,2239.0 +4,1536519691,Engine RPM,745910964,5343735445988820545,mean,853.3746469291051 +4,1536519691,Engine RPM,745910964,5343735445988820545,max,2021.0 +4,1536519691,Engine RPM,745910964,-3194448052609433677,mean,1081.2412632751466 +4,1536519691,Engine RPM,745910964,-3194448052609433677,max,2441.0 +4,1536519691,Engine RPM,745910964,-6252516930235775325,mean,1270.4228397242227 +4,1536519691,Engine RPM,745910964,-6252516930235775325,max,2190.0 +4,1536519691,Engine RPM,745910964,2450028042725514685,mean,1364.506509727637 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RPM,745910964,447494127163124466,mean,2099.3261933581034 +4,1536519691,Engine RPM,745910964,447494127163124466,max,2460.0 +4,1536519691,Engine RPM,745910964,2463531308855288653,mean,1987.1468667554855 +4,1536519691,Engine RPM,745910964,2463531308855288653,max,2292.0 +4,1536519691,Engine RPM,745910964,-7468101232410591493,mean,1289.5027189779282 +4,1536519691,Engine RPM,745910964,-7468101232410591493,max,2802.0 +4,1536519691,Engine RPM,745910964,-4387794385871790390,mean,1150.80317429622 +4,1536519691,Engine RPM,745910964,-4387794385871790390,max,2397.0 +4,1536519691,Engine RPM,745910964,-7789172389376525428,mean,684.5618609627088 +4,1536519691,Engine RPM,745910964,-7789172389376525428,max,2632.0 +4,1536519691,Engine RPM,745910964,3573737235630138284,mean,845.3814123872222 +4,1536519691,Engine RPM,745910964,3573737235630138284,max,2870.0 +8,1536519691,Engine RPM,745910964,4718925000588101262,mean,1421.0930645553271 +8,1536519691,Engine RPM,745910964,4718925000588101262,max,2690.0 +8,1536519691,Engine RPM,745910964,1352601353418292403,mean,1725.670686601003 +8,1536519691,Engine RPM,745910964,1352601353418292403,max,2297.0 +8,1536519691,Engine RPM,745910964,-7742305595772661044,mean,1264.3883562024434 +8,1536519691,Engine RPM,745910964,-7742305595772661044,max,2007.0 +8,1536519691,Engine RPM,745910964,-7455689788307602378,mean,1460.444775378704 +8,1536519691,Engine RPM,745910964,-7455689788307602378,max,2144.0 +8,1536519691,Engine RPM,745910964,2758258315465747816,mean,1802.3287762324014 +8,1536519691,Engine RPM,745910964,2758258315465747816,max,2346.0 +8,1536519691,Engine RPM,745910964,-1833618433096815459,mean,1917.385333357652 +8,1536519691,Engine RPM,745910964,-1833618433096815459,max,1968.0 +8,1536519691,Engine RPM,745910964,1538606170711706002,mean,2105.304006675879 +8,1536519691,Engine RPM,745910964,1538606170711706002,max,2602.0 +8,1536519691,Engine RPM,745910964,8608394682340189716,mean,2342.0322968204814 +8,1536519691,Engine RPM,745910964,8608394682340189716,max,3385.0 +8,1536519691,Engine RPM,745910964,-1601070148215742699,mean,1845.2237095038097 +8,1536519691,Engine RPM,745910964,-1601070148215742699,max,2818.0 +8,1536519691,Engine RPM,745910964,435772847611015410,mean,2190.253519522349 +8,1536519691,Engine RPM,745910964,435772847611015410,max,3013.0 +8,1536519691,Engine RPM,745910964,-5759725681972504647,mean,2177.325830022494 +8,1536519691,Engine RPM,745910964,-5759725681972504647,max,2271.0 +8,1536519691,Engine RPM,745910964,5915253500420376955,mean,1706.8304132239025 +8,1536519691,Engine RPM,745910964,5915253500420376955,max,2211.0 +8,1536519691,Engine RPM,745910964,8101316065027286204,mean,830.1703531344732 +8,1536519691,Engine RPM,745910964,8101316065027286204,max,2489.0 +8,1536519691,Engine RPM,745910964,-6235419487408510781,mean,980.0347818764051 +8,1536519691,Engine RPM,745910964,-6235419487408510781,max,2411.0 +8,1536519691,Engine RPM,745910964,9108779782948401331,mean,472.03300677696865 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RPM,745910964,-3748029138356253085,mean,1141.01297047774 +20,1536519691,Engine RPM,745910964,-3748029138356253085,max,2171.0 +20,1536519691,Engine RPM,745910964,-4403733942695763748,mean,1543.7993695147832 +20,1536519691,Engine RPM,745910964,-4403733942695763748,max,2465.0 +20,1536519691,Engine RPM,745910964,-4901803126156257691,mean,1237.984986512661 +20,1536519691,Engine RPM,745910964,-4901803126156257691,max,2423.0 +20,1536519691,Engine RPM,745910964,5667226863092006580,mean,1307.368192762534 +20,1536519691,Engine RPM,745910964,5667226863092006580,max,2024.0 +20,1536519691,Engine RPM,745910964,5565991649846280539,mean,1303.851252936522 +20,1536519691,Engine RPM,745910964,5565991649846280539,max,2036.0 +20,1536519691,Engine RPM,745910964,-176581403763103404,mean,1678.7444264570872 +20,1536519691,Engine RPM,745910964,-176581403763103404,max,2303.0 +20,1536519691,Engine RPM,745910964,2109261483566364201,mean,1552.4311398760478 +20,1536519691,Engine RPM,745910964,2109261483566364201,max,2191.0 +20,1536519691,Engine RPM,745910964,1276937477363108967,mean,1354.1300711854299 +20,1536519691,Engine RPM,745910964,1276937477363108967,max,2215.0 +20,1536519691,Engine RPM,745910964,-6302098405739860514,mean,1071.3182813986962 +20,1536519691,Engine RPM,745910964,-6302098405739860514,max,2051.0 +44,1536519691,Engine RPM,745910964,6077381716976448569,mean,911.9169667657217 +44,1536519691,Engine RPM,745910964,6077381716976448569,max,2190.0 +44,1536519691,Engine RPM,745910964,687632533400204231,mean,1406.3575375191372 +44,1536519691,Engine RPM,745910964,687632533400204231,max,2603.0 +44,1536519691,Engine RPM,745910964,4772925762832242228,mean,1946.6058533851306 +44,1536519691,Engine RPM,745910964,4772925762832242228,max,3057.0 +44,1536519691,Engine RPM,745910964,4642972344158521018,mean,2524.502643404007 +44,1536519691,Engine RPM,745910964,4642972344158521018,max,3328.0 +44,1536519691,Engine RPM,745910964,-1859710139264776921,mean,1928.6584099364281 +44,1536519691,Engine RPM,745910964,-1859710139264776921,max,2906.0 +44,1536519691,Engine RPM,745910964,-3255567881559996781,mean,2000.5988632424671 +44,1536519691,Engine RPM,745910964,-3255567881559996781,max,2605.0 +44,1536519691,Engine RPM,745910964,-3691417072268509866,mean,2040.3585033949216 +44,1536519691,Engine RPM,745910964,-3691417072268509866,max,2123.0 +44,1536519691,Engine RPM,745910964,-6349673126612528192,mean,1656.2828129378954 +44,1536519691,Engine RPM,745910964,-6349673126612528192,max,2134.0 +44,1536519691,Engine RPM,745910964,1141782528216075591,mean,1421.9055665922165 +44,1536519691,Engine RPM,745910964,1141782528216075591,max,2479.0 +44,1536519691,Engine RPM,745910964,-1645983158046099431,mean,1461.9011731410026 +44,1536519691,Engine RPM,745910964,-1645983158046099431,max,2274.0 +44,1536519691,Engine RPM,745910964,6008800525769984153,mean,1069.640479133924 +44,1536519691,Engine RPM,745910964,6008800525769984153,max,2146.0 +44,1536519691,Engine RPM,745910964,-7891533988611153641,mean,834.9369768027565 +44,1536519691,Engine RPM,745910964,-7891533988611153641,max,1047.0 +30,1536519691,Engine RPM,745910964,-6211275130591963799,mean,1418.8317500758171 +30,1536519691,Engine RPM,745910964,-6211275130591963799,max,2447.0 +30,1536519691,Engine RPM,745910964,5181671062573694154,mean,1645.3797969333332 +30,1536519691,Engine RPM,745910964,5181671062573694154,max,2192.0 +30,1536519691,Engine RPM,745910964,-165362257923093936,mean,1971.948195932706 +30,1536519691,Engine RPM,745910964,-165362257923093936,max,2202.0 +30,1536519691,Engine RPM,745910964,4844306822865437614,mean,1231.7221430714926 +30,1536519691,Engine RPM,745910964,4844306822865437614,max,2377.0 +30,1536519691,Engine RPM,745910964,2877843000482032749,mean,1074.8394296399752 +30,1536519691,Engine RPM,745910964,2877843000482032749,max,2320.0 +30,1536519691,Engine RPM,745910964,-7741507622719603247,mean,1394.8877064847945 +30,1536519691,Engine RPM,745910964,-7741507622719603247,max,2115.0 +30,1536519691,Engine RPM,745910964,4898502333346473485,mean,1593.0109605701764 +30,1536519691,Engine RPM,745910964,4898502333346473485,max,2775.0 +30,1536519691,Engine RPM,745910964,-6798680019878674367,mean,1784.8517233435314 +30,1536519691,Engine RPM,745910964,-6798680019878674367,max,1888.0 +30,1536519691,Engine RPM,745910964,5401468985043368238,mean,1568.962886683146 +30,1536519691,Engine RPM,745910964,5401468985043368238,max,1886.0 +30,1536519691,Engine RPM,745910964,8477896605260922427,mean,1260.0435866133373 +30,1536519691,Engine RPM,745910964,8477896605260922427,max,2658.0 +30,1536519691,Engine RPM,745910964,40946803805311818,mean,1082.761686808263 +30,1536519691,Engine RPM,745910964,40946803805311818,max,2645.0 +50,1536519691,Engine RPM,745910964,-6855940205498229912,mean,1325.4551165390014 +50,1536519691,Engine RPM,745910964,-6855940205498229912,max,2505.0 +50,1536519691,Engine RPM,745910964,-5410788393460523686,mean,1605.0491657908758 +50,1536519691,Engine RPM,745910964,-5410788393460523686,max,2419.0 +50,1536519691,Engine RPM,745910964,8204746091149537321,mean,1464.4599435218174 +50,1536519691,Engine RPM,745910964,8204746091149537321,max,2082.0 +50,1536519691,Engine RPM,745910964,-5760649203147879655,mean,1461.1160651707648 +50,1536519691,Engine RPM,745910964,-5760649203147879655,max,2820.0 +50,1536519691,Engine RPM,745910964,7152425089194159792,mean,1671.2877899885177 +50,1536519691,Engine RPM,745910964,7152425089194159792,max,2115.0 +50,1536519691,Engine RPM,745910964,-7193900574583224845,mean,1578.1033298865955 +50,1536519691,Engine RPM,745910964,-7193900574583224845,max,2305.0 +50,1536519691,Engine RPM,745910964,9004977537426492972,mean,1730.8787367590269 +50,1536519691,Engine RPM,745910964,9004977537426492972,max,1956.0 +50,1536519691,Engine RPM,745910964,812036626750658687,mean,1894.7496933380762 +50,1536519691,Engine RPM,745910964,812036626750658687,max,2121.0 +50,1536519691,Engine RPM,745910964,1761778403644406872,mean,1439.9324064540863 +50,1536519691,Engine RPM,745910964,1761778403644406872,max,2782.0 +50,1536519691,Engine RPM,745910964,4034984737790512890,mean,1314.3569661910926 +50,1536519691,Engine RPM,745910964,4034984737790512890,max,2302.0 +80,1536519691,Engine RPM,745910964,4237803459114497995,mean,1231.8028377985954 +80,1536519691,Engine RPM,745910964,4237803459114497995,max,2145.0 +80,1536519691,Engine RPM,745910964,559601423982755316,mean,1468.9650747474034 +80,1536519691,Engine RPM,745910964,559601423982755316,max,2470.0 +80,1536519691,Engine RPM,745910964,-3868625298930540388,mean,1634.8501333149275 +80,1536519691,Engine RPM,745910964,-3868625298930540388,max,2785.0 +80,1536519691,Engine RPM,745910964,-2508141871313963631,mean,1088.4739371037483 +80,1536519691,Engine RPM,745910964,-2508141871313963631,max,2272.0 +80,1536519691,Engine RPM,745910964,4581249661717763713,mean,953.0216635686598 +80,1536519691,Engine RPM,745910964,4581249661717763713,max,1050.0 +33,1536519691,Engine RPM,745910964,5801377359084255210,mean,1489.0459827899933 +33,1536519691,Engine RPM,745910964,5801377359084255210,max,2457.0 +33,1536519691,Engine RPM,745910964,-4659913254465967188,mean,1489.1547272006671 +33,1536519691,Engine RPM,745910964,-4659913254465967188,max,2028.0 +33,1536519691,Engine RPM,745910964,7459995564702504160,mean,1585.4847832949956 +33,1536519691,Engine RPM,745910964,7459995564702504160,max,2312.0 +33,1536519691,Engine RPM,745910964,3287550889219491689,mean,2223.940390024185 +33,1536519691,Engine RPM,745910964,3287550889219491689,max,2338.0 +33,1536519691,Engine RPM,745910964,-700566266042795699,mean,2049.310233434836 +33,1536519691,Engine RPM,745910964,-700566266042795699,max,2390.0 +33,1536519691,Engine RPM,745910964,6580447392627254906,mean,1582.4567923760414 +33,1536519691,Engine RPM,745910964,6580447392627254906,max,2559.0 +33,1536519691,Engine RPM,745910964,4604475451292217258,mean,2010.7035034680366 +33,1536519691,Engine RPM,745910964,4604475451292217258,max,2700.0 +33,1536519691,Engine RPM,745910964,-7747775471621903058,mean,1457.5603268297514 +33,1536519691,Engine RPM,745910964,-7747775471621903058,max,2455.0 +33,1536519691,Engine RPM,745910964,4140240259057548716,mean,1158.9694150535265 +33,1536519691,Engine RPM,745910964,4140240259057548716,max,3200.0 +33,1536519691,Engine RPM,745910964,-6339964988926120298,mean,1449.8744598142307 +33,1536519691,Engine RPM,745910964,-6339964988926120298,max,1984.0 +33,1536519691,Engine RPM,745910964,1365754115276556316,mean,1519.6955934357643 +33,1536519691,Engine RPM,745910964,1365754115276556316,max,2068.0 +33,1536519691,Engine RPM,745910964,-7203089385138696437,mean,1465.9212537813187 +33,1536519691,Engine RPM,745910964,-7203089385138696437,max,2032.0 +33,1536519691,Engine RPM,745910964,5362868459405926806,mean,1473.8213562568028 +33,1536519691,Engine RPM,745910964,5362868459405926806,max,2194.0 +33,1536519691,Engine RPM,745910964,6846403970184127784,mean,1567.002905617555 +33,1536519691,Engine RPM,745910964,6846403970184127784,max,3123.0 +33,1536519691,Engine RPM,745910964,2716765618265661297,mean,1355.2693242803693 +33,1536519691,Engine RPM,745910964,2716765618265661297,max,2097.0 +10,1536519691,Engine RPM,745910964,3752442199397701646,mean,1207.9706227167446 +10,1536519691,Engine RPM,745910964,3752442199397701646,max,2432.0 +10,1536519691,Engine RPM,745910964,-4807646656601048275,mean,1174.9838961370785 +10,1536519691,Engine RPM,745910964,-4807646656601048275,max,2477.0 +10,1536519691,Engine RPM,745910964,3336650199289598298,mean,1154.8235672060648 +10,1536519691,Engine RPM,745910964,3336650199289598298,max,2319.0 +10,1536519691,Engine RPM,745910964,-8626546063765266306,mean,1236.6407132776578 +10,1536519691,Engine RPM,745910964,-8626546063765266306,max,2204.0 +10,1536519691,Engine RPM,745910964,367896758966776247,mean,1046.7562296040853 +10,1536519691,Engine RPM,745910964,367896758966776247,max,2275.0 +10,1536519691,Engine RPM,745910964,-1892633335055923791,mean,745.3521594889959 +10,1536519691,Engine RPM,745910964,-1892633335055923791,max,2059.0 +10,1536519691,Engine RPM,745910964,-3691920970216665360,mean,1263.4595730813344 +10,1536519691,Engine RPM,745910964,-3691920970216665360,max,2478.0 +10,1536519691,Engine RPM,745910964,2292043266524303081,mean,1481.5565328733126 +10,1536519691,Engine RPM,745910964,2292043266524303081,max,1839.0 +10,1536519691,Engine RPM,745910964,8843085267213454585,mean,1903.9187031555175 +10,1536519691,Engine RPM,745910964,8843085267213454585,max,2153.0 +10,1536519691,Engine RPM,745910964,-8729856840183828996,mean,1718.4548832337061 +10,1536519691,Engine RPM,745910964,-8729856840183828996,max,2141.0 +10,1536519691,Engine RPM,745910964,-7354182282448063300,mean,1501.8496402676901 +10,1536519691,Engine RPM,745910964,-7354182282448063300,max,2545.0 +10,1536519691,Engine RPM,745910964,-6777365612954528933,mean,1861.7957800777754 +10,1536519691,Engine RPM,745910964,-6777365612954528933,max,2117.0 +10,1536519691,Engine RPM,745910964,1447540372241931563,mean,1789.7462800661722 +10,1536519691,Engine RPM,745910964,1447540372241931563,max,2120.0 +10,1536519691,Engine RPM,745910964,888598355897075219,mean,1466.5112594811121 +10,1536519691,Engine RPM,745910964,888598355897075219,max,2333.0 +10,1536519691,Engine RPM,745910964,5543804845467165462,mean,730.9936097757021 +10,1536519691,Engine RPM,745910964,5543804845467165462,max,2420.0 +10,1536519691,Engine RPM,745910964,432272181033619682,mean,807.3454532249768 +10,1536519691,Engine RPM,745910964,432272181033619682,max,1498.0 +10,1536519691,Engine RPM,745910964,-4682595842515870484,mean,790.5005016968319 +10,1536519691,Engine RPM,745910964,-4682595842515870484,max,995.0 +40,1536519691,Engine RPM,745910964,8403810019593335364,mean,1103.6945228115717 +40,1536519691,Engine RPM,745910964,8403810019593335364,max,2516.0 +40,1536519691,Engine RPM,745910964,3998532530306031648,mean,1557.1301362140973 +40,1536519691,Engine RPM,745910964,3998532530306031648,max,2436.0 +40,1536519691,Engine RPM,745910964,-5164694210496300669,mean,1423.0926002351443 +40,1536519691,Engine RPM,745910964,-5164694210496300669,max,1723.0 +40,1536519691,Engine RPM,745910964,3227389881430201539,mean,1610.7240266561507 +40,1536519691,Engine RPM,745910964,3227389881430201539,max,1942.0 +40,1536519691,Engine RPM,745910964,-4076706624553345261,mean,1579.2806433439255 +40,1536519691,Engine RPM,745910964,-4076706624553345261,max,2035.0 +40,1536519691,Engine RPM,745910964,-2539021072305971256,mean,1803.4434998822212 +40,1536519691,Engine RPM,745910964,-2539021072305971256,max,2107.0 +40,1536519691,Engine RPM,745910964,8927885767951464621,mean,1861.5291199151675 +40,1536519691,Engine RPM,745910964,8927885767951464621,max,2119.0 +40,1536519691,Engine RPM,745910964,-7505488422130273965,mean,1562.1601071627936 +40,1536519691,Engine RPM,745910964,-7505488422130273965,max,2209.0 +40,1536519691,Engine RPM,745910964,-2375080468160313099,mean,1148.5021052479744 +40,1536519691,Engine RPM,745910964,-2375080468160313099,max,2880.0 +40,1536519691,Engine RPM,745910964,7923876033145735948,mean,1269.6360094777742 +40,1536519691,Engine RPM,745910964,7923876033145735948,max,2544.0 +40,1536519691,Engine RPM,745910964,-3292829793564224067,mean,910.7303840052897 +40,1536519691,Engine RPM,745910964,-3292829793564224067,max,1220.0 +46,1536519691,Engine RPM,745910964,-3544013061826277712,mean,1275.0734739645322 +46,1536519691,Engine RPM,745910964,-3544013061826277712,max,2534.0 +46,1536519691,Engine RPM,745910964,-3787403422763786673,mean,1591.2979229982693 +46,1536519691,Engine RPM,745910964,-3787403422763786673,max,2485.0 +46,1536519691,Engine RPM,745910964,-2114524022143181528,mean,2090.0958499447506 +46,1536519691,Engine RPM,745910964,-2114524022143181528,max,2455.0 +46,1536519691,Engine RPM,745910964,877567502924673298,mean,1848.070193391641 +46,1536519691,Engine RPM,745910964,877567502924673298,max,2221.0 +46,1536519691,Engine RPM,745910964,873461953280544195,mean,1697.173763141632 +46,1536519691,Engine RPM,745910964,873461953280544195,max,2316.0 +46,1536519691,Engine RPM,745910964,-3624118500090596433,mean,1691.9799333365759 +46,1536519691,Engine RPM,745910964,-3624118500090596433,max,2439.0 +46,1536519691,Engine RPM,745910964,7049491016790649193,mean,1340.252700489362 +46,1536519691,Engine RPM,745910964,7049491016790649193,max,2886.0 +46,1536519691,Engine RPM,745910964,-9015970083348252630,mean,951.804760076205 +46,1536519691,Engine RPM,745910964,-9015970083348252630,max,2197.0 +46,1536519691,Engine RPM,745910964,-8288222124444624472,mean,1113.1417296047916 +46,1536519691,Engine RPM,745910964,-8288222124444624472,max,2148.0 +53,1536519691,Engine RPM,745910964,-7703712008352914498,mean,1138.7844428237279 +53,1536519691,Engine RPM,745910964,-7703712008352914498,max,2349.0 +53,1536519691,Engine RPM,745910964,2706861381580600729,mean,1233.0398500148456 +53,1536519691,Engine RPM,745910964,2706861381580600729,max,2183.0 +53,1536519691,Engine RPM,745910964,-7022670955442411540,mean,1524.2187599579493 +53,1536519691,Engine RPM,745910964,-7022670955442411540,max,2396.0 +53,1536519691,Engine RPM,745910964,-4601512208223078840,mean,1657.247547085285 +53,1536519691,Engine RPM,745910964,-4601512208223078840,max,1965.0 +53,1536519691,Engine RPM,745910964,-7133619367387557982,mean,1792.1696602312725 +53,1536519691,Engine RPM,745910964,-7133619367387557982,max,1965.0 +53,1536519691,Engine RPM,745910964,-3136268601685449625,mean,1515.3386965068182 +53,1536519691,Engine RPM,745910964,-3136268601685449625,max,1900.0 +53,1536519691,Engine RPM,745910964,-8138068897329034790,mean,1768.2696400483449 +53,1536519691,Engine RPM,745910964,-8138068897329034790,max,2196.0 +53,1536519691,Engine RPM,745910964,6285701428175279893,mean,2029.3066533064841 +53,1536519691,Engine RPM,745910964,6285701428175279893,max,2196.0 +53,1536519691,Engine RPM,745910964,-2867423177264716027,mean,1433.875429403782 +53,1536519691,Engine RPM,745910964,-2867423177264716027,max,2616.0 +53,1536519691,Engine RPM,745910964,2428977863895181939,mean,1116.7801294263204 +53,1536519691,Engine RPM,745910964,2428977863895181939,max,2418.0 +53,1536519691,Engine RPM,745910964,-7244017776910751510,mean,1056.114933960454 +53,1536519691,Engine RPM,745910964,-7244017776910751510,max,2109.0 +34,1536519691,Engine RPM,745910964,-6680064717952934570,mean,877.2680736494065 +34,1536519691,Engine RPM,745910964,-6680064717952934570,max,2208.0 +34,1536519691,Engine RPM,745910964,3679980359190531388,mean,524.936060620149 +34,1536519691,Engine RPM,745910964,3679980359190531388,max,1945.0 +34,1536519691,Engine RPM,745910964,5154046388996207419,mean,1150.2411172016461 +34,1536519691,Engine RPM,745910964,5154046388996207419,max,2334.0 +34,1536519691,Engine RPM,745910964,9012419457392902262,mean,1320.5350460513432 +34,1536519691,Engine RPM,745910964,9012419457392902262,max,2533.0 +34,1536519691,Engine RPM,745910964,6827779762137418304,mean,1803.3501631855966 +34,1536519691,Engine RPM,745910964,6827779762137418304,max,2583.0 +34,1536519691,Engine RPM,745910964,3859699235363123053,mean,1890.1465567557018 +34,1536519691,Engine RPM,745910964,3859699235363123053,max,2118.0 +34,1536519691,Engine RPM,745910964,4150876970705106864,mean,1670.7092294748625 +34,1536519691,Engine RPM,745910964,4150876970705106864,max,2185.0 +34,1536519691,Engine RPM,745910964,4967022705748647123,mean,1987.9397900422414 +34,1536519691,Engine RPM,745910964,4967022705748647123,max,2168.0 +34,1536519691,Engine RPM,745910964,6172699504979687202,mean,1965.1108266266187 +34,1536519691,Engine RPM,745910964,6172699504979687202,max,2216.0 +34,1536519691,Engine RPM,745910964,-2470343959376754728,mean,1463.4264599609376 +34,1536519691,Engine RPM,745910964,-2470343959376754728,max,2444.0 +34,1536519691,Engine RPM,745910964,-1825164947115334423,mean,1024.1452833239236 +34,1536519691,Engine RPM,745910964,-1825164947115334423,max,2975.0 +34,1536519691,Engine RPM,745910964,1729083811185821845,mean,835.1911261437457 +34,1536519691,Engine RPM,745910964,1729083811185821845,max,1754.0 +17,1536519691,Engine RPM,745910964,5864277396684918943,mean,1105.0906826527914 +17,1536519691,Engine RPM,745910964,5864277396684918943,max,2281.0 +17,1536519691,Engine RPM,745910964,-8728963254104099984,mean,1327.606886220773 +17,1536519691,Engine RPM,745910964,-8728963254104099984,max,2463.0 +17,1536519691,Engine RPM,745910964,-3762156775315167351,mean,1714.9326662969588 +17,1536519691,Engine RPM,745910964,-3762156775315167351,max,2121.0 +17,1536519691,Engine RPM,745910964,5814679945286323360,mean,1919.7057037981351 +17,1536519691,Engine RPM,745910964,5814679945286323360,max,2120.0 +17,1536519691,Engine RPM,745910964,-2278105084190517653,mean,1202.0824630347888 +17,1536519691,Engine RPM,745910964,-2278105084190517653,max,2355.0 +17,1536519691,Engine RPM,745910964,6821829126565509279,mean,1297.7171629651386 +17,1536519691,Engine RPM,745910964,6821829126565509279,max,2119.0 +17,1536519691,Engine RPM,745910964,-2740166161633182510,mean,1475.1650492866834 +17,1536519691,Engine RPM,745910964,-2740166161633182510,max,2587.0 +17,1536519691,Engine RPM,745910964,783395873514218095,mean,1201.856152815024 +17,1536519691,Engine RPM,745910964,783395873514218095,max,1949.0 +17,1536519691,Engine RPM,745910964,-8129604181591308990,mean,1270.9390602652231 +17,1536519691,Engine RPM,745910964,-8129604181591308990,max,2332.0 +17,1536519691,Engine RPM,745910964,3018296107316726192,mean,1256.9024825700124 +17,1536519691,Engine RPM,745910964,3018296107316726192,max,2006.0 +17,1536519691,Engine RPM,745910964,8302293771981868098,mean,1601.0970598022143 +17,1536519691,Engine RPM,745910964,8302293771981868098,max,2224.0 +17,1536519691,Engine RPM,745910964,-3466734825575770757,mean,1597.6449959278107 +17,1536519691,Engine RPM,745910964,-3466734825575770757,max,2015.0 +17,1536519691,Engine RPM,745910964,-5974363388007468207,mean,1013.5768663160006 +17,1536519691,Engine RPM,745910964,-5974363388007468207,max,2689.0 +17,1536519691,Engine RPM,745910964,4896486686259199715,mean,866.4863739865068 +17,1536519691,Engine RPM,745910964,4896486686259199715,max,991.0 +11,1536519691,Engine RPM,745910964,-6622423094044851682,mean,1030.795327030023 +11,1536519691,Engine RPM,745910964,-6622423094044851682,max,2217.0 +11,1536519691,Engine RPM,745910964,-8972303975038240745,mean,991.1901837452252 +11,1536519691,Engine RPM,745910964,-8972303975038240745,max,2469.0 +11,1536519691,Engine RPM,745910964,-8961844814625030578,mean,917.7503890538216 +11,1536519691,Engine RPM,745910964,-8961844814625030578,max,2533.0 +11,1536519691,Engine RPM,745910964,3826359374986478606,mean,1125.9434468110403 +11,1536519691,Engine RPM,745910964,3826359374986478606,max,2508.0 +11,1536519691,Engine RPM,745910964,-1160969181105894800,mean,1752.4703930107753 +11,1536519691,Engine RPM,745910964,-1160969181105894800,max,2781.0 +11,1536519691,Engine RPM,745910964,-6282269132212012331,mean,2075.5183766198156 +11,1536519691,Engine RPM,745910964,-6282269132212012331,max,2137.0 +11,1536519691,Engine RPM,745910964,-858741222370577738,mean,1417.9792725634575 +11,1536519691,Engine RPM,745910964,-858741222370577738,max,2707.0 +11,1536519691,Engine RPM,745910964,5145101393431819868,mean,1235.055912876924 +11,1536519691,Engine RPM,745910964,5145101393431819868,max,2542.0 +11,1536519691,Engine RPM,745910964,-820985964658966913,mean,1057.4802163513502 +11,1536519691,Engine RPM,745910964,-820985964658966913,max,1965.0 +11,1536519691,Engine RPM,745910964,6111045408878294407,mean,1379.7952928233146 +11,1536519691,Engine RPM,745910964,6111045408878294407,max,2110.0 +11,1536519691,Engine RPM,745910964,205746000388405931,mean,1917.288203084469 +11,1536519691,Engine RPM,745910964,205746000388405931,max,3090.0 +11,1536519691,Engine RPM,745910964,6821082959285638552,mean,2107.7907300337156 +11,1536519691,Engine RPM,745910964,6821082959285638552,max,2802.0 +11,1536519691,Engine RPM,745910964,2456021297509474628,mean,1733.2989416186015 +11,1536519691,Engine RPM,745910964,2456021297509474628,max,2714.0 +11,1536519691,Engine RPM,745910964,2333797719861676269,mean,1614.8910469873747 +11,1536519691,Engine RPM,745910964,2333797719861676269,max,2093.0 +11,1536519691,Engine RPM,745910964,-708368494613529337,mean,1776.1872236450513 +11,1536519691,Engine RPM,745910964,-708368494613529337,max,2520.0 +11,1536519691,Engine RPM,745910964,5735255102772915751,mean,1806.1710132654507 +11,1536519691,Engine RPM,745910964,5735255102772915751,max,2120.0 +11,1536519691,Engine RPM,745910964,-240041500863203106,mean,2084.8652966769537 +11,1536519691,Engine RPM,745910964,-240041500863203106,max,2122.0 +11,1536519691,Engine RPM,745910964,-6882305313493330790,mean,1592.6277321704229 +11,1536519691,Engine RPM,745910964,-6882305313493330790,max,3096.0 +11,1536519691,Engine RPM,745910964,-8951794950370588906,mean,1523.8220971155167 +11,1536519691,Engine RPM,745910964,-8951794950370588906,max,2596.0 +11,1536519691,Engine RPM,745910964,3609568677837251813,mean,933.6000326061248 +11,1536519691,Engine RPM,745910964,3609568677837251813,max,2621.0 +11,1536519691,Engine RPM,745910964,-3624469497995972677,mean,1174.2906337944667 +11,1536519691,Engine RPM,745910964,-3624469497995972677,max,1939.0 +11,1536519691,Engine RPM,745910964,-1187233935438501597,mean,761.3552540922399 +11,1536519691,Engine RPM,745910964,-1187233935438501597,max,774.0 +12,1536519691,Engine RPM,745910964,-8210737390640820355,mean,1263.292123462359 +12,1536519691,Engine RPM,745910964,-8210737390640820355,max,2666.0 +12,1536519691,Engine RPM,745910964,1576418141376582662,mean,1447.1740633177758 +12,1536519691,Engine RPM,745910964,1576418141376582662,max,2472.0 +12,1536519691,Engine RPM,745910964,-2379551359418406729,mean,1926.6931466420492 +12,1536519691,Engine RPM,745910964,-2379551359418406729,max,2541.0 +12,1536519691,Engine RPM,745910964,-9159800764360406577,mean,1937.7420799811682 +12,1536519691,Engine RPM,745910964,-9159800764360406577,max,2113.0 +12,1536519691,Engine RPM,745910964,6251805661139004338,mean,1869.0 +12,1536519691,Engine RPM,745910964,6251805661139004338,max,1869.0 +12,1536519691,Engine RPM,745910964,-1924039824745173117,mean,1248.8296796417237 +12,1536519691,Engine RPM,745910964,-1924039824745173117,max,2218.0 +12,1536519691,Engine RPM,745910964,5788983802842288526,mean,1271.5652301748594 +12,1536519691,Engine RPM,745910964,5788983802842288526,max,2482.0 +12,1536519691,Engine RPM,745910964,714068962454369265,mean,1390.8198566269875 +12,1536519691,Engine RPM,745910964,714068962454369265,max,2104.0 +12,1536519691,Engine RPM,745910964,-8817243501918586084,mean,1763.383623498281 +12,1536519691,Engine RPM,745910964,-8817243501918586084,max,2186.0 +12,1536519691,Engine RPM,745910964,-7982377765062428862,mean,1786.134646642208 +12,1536519691,Engine RPM,745910964,-7982377765062428862,max,1959.0 +12,1536519691,Engine RPM,745910964,6186259024716785421,mean,1963.6395033113163 +12,1536519691,Engine RPM,745910964,6186259024716785421,max,2785.0 +12,1536519691,Engine RPM,745910964,-3410284599444525441,mean,2517.1647600301108 +12,1536519691,Engine RPM,745910964,-3410284599444525441,max,3272.0 +12,1536519691,Engine RPM,745910964,7722295616281721303,mean,1765.3974062514305 +12,1536519691,Engine RPM,745910964,7722295616281721303,max,2775.0 +12,1536519691,Engine RPM,745910964,-1787818057449001848,mean,2147.734510087172 +12,1536519691,Engine RPM,745910964,-1787818057449001848,max,3004.0 +12,1536519691,Engine RPM,745910964,7553006173872475848,mean,2194.741663371722 +12,1536519691,Engine RPM,745910964,7553006173872475848,max,2283.0 +12,1536519691,Engine RPM,745910964,-6433090838082291106,mean,1761.2660399977367 +12,1536519691,Engine RPM,745910964,-6433090838082291106,max,2295.0 +12,1536519691,Engine RPM,745910964,7947101784831976278,mean,1375.538285932541 +12,1536519691,Engine RPM,745910964,7947101784831976278,max,2516.0 +12,1536519691,Engine RPM,745910964,-4690170840706951486,mean,768.2924050569917 +12,1536519691,Engine RPM,745910964,-4690170840706951486,max,772.0 +81,1536519691,Engine RPM,745910964,-6723922483382155666,mean,1236.8286698381105 +81,1536519691,Engine RPM,745910964,-6723922483382155666,max,2551.0 +81,1536519691,Engine RPM,745910964,-6641836491389478454,mean,1572.371001967589 +81,1536519691,Engine RPM,745910964,-6641836491389478454,max,2562.0 +81,1536519691,Engine RPM,745910964,-998996746939603175,mean,1481.0 +81,1536519691,Engine RPM,745910964,-998996746939603175,max,1481.0 +25,1536519691,Engine RPM,745910964,4741056280187516947,mean,1077.0474136861164 +25,1536519691,Engine RPM,745910964,4741056280187516947,max,2349.0 +25,1536519691,Engine RPM,745910964,4247526057009717313,mean,1278.5040922792753 +25,1536519691,Engine RPM,745910964,4247526057009717313,max,2472.0 +25,1536519691,Engine RPM,745910964,-1174724881637893372,mean,1718.7705901646614 +25,1536519691,Engine RPM,745910964,-1174724881637893372,max,2185.0 +25,1536519691,Engine RPM,745910964,-8739568343694331775,mean,2077.606133345763 +25,1536519691,Engine RPM,745910964,-8739568343694331775,max,2119.0 +25,1536519691,Engine RPM,745910964,-8654460726246842317,mean,1529.4848862981796 +25,1536519691,Engine RPM,745910964,-8654460726246842317,max,2031.0 +25,1536519691,Engine RPM,745910964,-9040938681827335780,mean,1500.689763534069 +25,1536519691,Engine RPM,745910964,-9040938681827335780,max,2248.0 +25,1536519691,Engine RPM,745910964,5006924133152138772,mean,1166.3356824676196 +25,1536519691,Engine RPM,745910964,5006924133152138772,max,2181.0 +25,1536519691,Engine RPM,745910964,5196638132401520719,mean,1234.9971856300035 +25,1536519691,Engine RPM,745910964,5196638132401520719,max,2248.0 +25,1536519691,Engine RPM,745910964,-1082349783154697039,mean,1495.987010126114 +25,1536519691,Engine RPM,745910964,-1082349783154697039,max,2119.0 +25,1536519691,Engine RPM,745910964,2778550515384554502,mean,1458.4552428539594 +25,1536519691,Engine RPM,745910964,2778550515384554502,max,2424.0 +25,1536519691,Engine RPM,745910964,-4162462675104425246,mean,954.1409671209944 +25,1536519691,Engine RPM,745910964,-4162462675104425246,max,2393.0 +9,1536519691,Engine RPM,745910964,-1682347415833454604,mean,1394.7615931479136 +9,1536519691,Engine RPM,745910964,-1682347415833454604,max,2537.0 +9,1536519691,Engine RPM,745910964,-43182626620094319,mean,1759.2081667431196 +9,1536519691,Engine RPM,745910964,-43182626620094319,max,2480.0 +9,1536519691,Engine RPM,745910964,5484720728042326108,mean,1909.0756300377845 +9,1536519691,Engine RPM,745910964,5484720728042326108,max,2145.0 +9,1536519691,Engine RPM,745910964,7166363216330413941,mean,1501.8824175651869 +9,1536519691,Engine RPM,745910964,7166363216330413941,max,2224.0 +9,1536519691,Engine RPM,745910964,6530536278319750668,mean,1493.4321923398973 +9,1536519691,Engine RPM,745910964,6530536278319750668,max,2339.0 +9,1536519691,Engine RPM,745910964,6905756865182190608,mean,1256.5609474253654 +9,1536519691,Engine RPM,745910964,6905756865182190608,max,2152.0 +9,1536519691,Engine RPM,745910964,-7115436931280019872,mean,1216.237169292768 +9,1536519691,Engine RPM,745910964,-7115436931280019872,max,2282.0 +9,1536519691,Engine RPM,745910964,-7206266691634281413,mean,1106.30057614247 +9,1536519691,Engine RPM,745910964,-7206266691634281413,max,1978.0 +9,1536519691,Engine RPM,745910964,-723969552142250867,mean,1558.0354371706644 +9,1536519691,Engine RPM,745910964,-723969552142250867,max,2326.0 +9,1536519691,Engine RPM,745910964,3916126908700811115,mean,1937.37479989926 +9,1536519691,Engine RPM,745910964,3916126908700811115,max,2558.0 +9,1536519691,Engine RPM,745910964,-4977684527288553086,mean,2329.263766543865 +9,1536519691,Engine RPM,745910964,-4977684527288553086,max,2951.0 +9,1536519691,Engine RPM,745910964,8190152023714583336,mean,2083.985083258152 +9,1536519691,Engine RPM,745910964,8190152023714583336,max,3220.0 +9,1536519691,Engine RPM,745910964,-3549699702225394696,mean,2083.1159301344555 +9,1536519691,Engine RPM,745910964,-3549699702225394696,max,3052.0 +9,1536519691,Engine RPM,745910964,-5553649689763912529,mean,2017.006360057195 +9,1536519691,Engine RPM,745910964,-5553649689763912529,max,2123.0 +9,1536519691,Engine RPM,745910964,7463818890709571229,mean,1299.9995606509844 +9,1536519691,Engine RPM,745910964,7463818890709571229,max,1927.0 +9,1536519691,Engine RPM,745910964,-479718989272206201,mean,789.7064862566513 +9,1536519691,Engine RPM,745910964,-479718989272206201,max,1795.0 +38,1536519691,Engine RPM,745910964,1877125675950297843,mean,1271.7398939140637 +38,1536519691,Engine RPM,745910964,1877125675950297843,max,2425.0 +38,1536519691,Engine RPM,745910964,-1078893475564156870,mean,1400.9948666961989 +38,1536519691,Engine RPM,745910964,-1078893475564156870,max,2456.0 +38,1536519691,Engine RPM,745910964,4582136547151292722,mean,1880.5696702067057 +38,1536519691,Engine RPM,745910964,4582136547151292722,max,2164.0 +38,1536519691,Engine RPM,745910964,-5390671409207900612,mean,1961.2906100495657 +38,1536519691,Engine RPM,745910964,-5390671409207900612,max,2160.0 +38,1536519691,Engine RPM,745910964,-9029162898419747316,mean,1455.6028667076428 +38,1536519691,Engine RPM,745910964,-9029162898419747316,max,2737.0 +38,1536519691,Engine RPM,745910964,-5476352031772321832,mean,1305.684200044473 +38,1536519691,Engine RPM,745910964,-5476352031772321832,max,2093.0 +38,1536519691,Engine RPM,745910964,1453182181982316514,mean,1706.1721466588974 +38,1536519691,Engine RPM,745910964,1453182181982316514,max,1798.0 +38,1536519691,Engine RPM,745910964,5797501212384272879,mean,1586.456026696364 +38,1536519691,Engine RPM,745910964,5797501212384272879,max,1790.0 +38,1536519691,Engine RPM,745910964,-7459692037934882516,mean,1292.9193427197138 +38,1536519691,Engine RPM,745910964,-7459692037934882516,max,2481.0 +38,1536519691,Engine RPM,745910964,-6240321087139673686,mean,1076.9611338280608 +38,1536519691,Engine RPM,745910964,-6240321087139673686,max,2044.0 +14,1536519691,Engine RPM,745910964,4935409481780552527,mean,996.1207769203186 +14,1536519691,Engine RPM,745910964,4935409481780552527,max,2246.0 +14,1536519691,Engine RPM,745910964,5638057003943919454,mean,811.3792374618848 +14,1536519691,Engine RPM,745910964,5638057003943919454,max,2424.0 +14,1536519691,Engine RPM,745910964,-4501798937379485200,mean,1388.6525938399632 +14,1536519691,Engine RPM,745910964,-4501798937379485200,max,2352.0 +14,1536519691,Engine RPM,745910964,-7751543336919708879,mean,1878.807123243014 +14,1536519691,Engine RPM,745910964,-7751543336919708879,max,2117.0 +14,1536519691,Engine RPM,745910964,-5115481270097814663,mean,2118.131133401394 +14,1536519691,Engine RPM,745910964,-5115481270097814663,max,2678.0 +14,1536519691,Engine RPM,745910964,-8338237802344867466,mean,2013.226956768036 +14,1536519691,Engine RPM,745910964,-8338237802344867466,max,2651.0 +14,1536519691,Engine RPM,745910964,-3412325303095598398,mean,2655.1036232701936 +14,1536519691,Engine RPM,745910964,-3412325303095598398,max,3406.0 +14,1536519691,Engine RPM,745910964,-998039037601991547,mean,2023.5001466735205 +14,1536519691,Engine RPM,745910964,-998039037601991547,max,2518.0 +14,1536519691,Engine RPM,745910964,-5109873334313260667,mean,1721.9445132803917 +14,1536519691,Engine RPM,745910964,-5109873334313260667,max,2427.0 +14,1536519691,Engine RPM,745910964,-8806897210807750428,mean,1733.7635133592287 +14,1536519691,Engine RPM,745910964,-8806897210807750428,max,2081.0 +14,1536519691,Engine RPM,745910964,3109507398660037727,mean,716.9229231389363 +14,1536519691,Engine RPM,745910964,3109507398660037727,max,2000.0 +14,1536519691,Engine RPM,745910964,3787446147945073232,mean,1150.488157157898 +14,1536519691,Engine RPM,745910964,3787446147945073232,max,2502.0 +14,1536519691,Engine RPM,745910964,6579021933004620457,mean,1957.0568432044984 +14,1536519691,Engine RPM,745910964,6579021933004620457,max,2665.0 +14,1536519691,Engine RPM,745910964,8844333787695933683,mean,2099.0525499367714 +14,1536519691,Engine RPM,745910964,8844333787695933683,max,2121.0 +14,1536519691,Engine RPM,745910964,1359468518283928311,mean,1565.3290395450592 +14,1536519691,Engine RPM,745910964,1359468518283928311,max,2088.0 +14,1536519691,Engine RPM,745910964,-8780795157672385631,mean,1044.415663022995 +14,1536519691,Engine RPM,745910964,-8780795157672385631,max,2241.0 +14,1536519691,Engine RPM,745910964,5177363042871807732,mean,999.9496456836525 +14,1536519691,Engine RPM,745910964,5177363042871807732,max,1756.0 +29,1536519691,Engine RPM,745910964,9100344453599491710,mean,1233.0386296868323 +29,1536519691,Engine RPM,745910964,9100344453599491710,max,2405.0 +29,1536519691,Engine RPM,745910964,-893510185456473163,mean,1396.493500406742 +29,1536519691,Engine RPM,745910964,-893510185456473163,max,2328.0 +29,1536519691,Engine RPM,745910964,218248736341669698,mean,1713.1903467710813 +29,1536519691,Engine RPM,745910964,218248736341669698,max,2116.0 +29,1536519691,Engine RPM,745910964,-2587971468786358624,mean,1945.7688799730936 +29,1536519691,Engine RPM,745910964,-2587971468786358624,max,2120.0 +29,1536519691,Engine RPM,745910964,9067805644521597377,mean,1038.9990661819777 +29,1536519691,Engine RPM,745910964,9067805644521597377,max,2229.0 +29,1536519691,Engine RPM,745910964,-4323857786112647539,mean,1415.6111866935094 +29,1536519691,Engine RPM,745910964,-4323857786112647539,max,2318.0 +29,1536519691,Engine RPM,745910964,-5646091373077911662,mean,1576.223723364671 +29,1536519691,Engine RPM,745910964,-5646091373077911662,max,2392.0 +29,1536519691,Engine RPM,745910964,-400974827727227072,mean,1668.3964468359948 +29,1536519691,Engine RPM,745910964,-400974827727227072,max,1993.0 +29,1536519691,Engine RPM,745910964,-3626126012484988218,mean,1680.152663289706 +29,1536519691,Engine RPM,745910964,-3626126012484988218,max,1818.0 +29,1536519691,Engine RPM,745910964,-4277216420960618466,mean,1567.70758964777 +29,1536519691,Engine RPM,745910964,-4277216420960618466,max,2382.0 +29,1536519691,Engine RPM,745910964,-2555718390785263763,mean,1159.9289434154828 +29,1536519691,Engine RPM,745910964,-2555718390785263763,max,2787.0 +29,1536519691,Engine RPM,745910964,-4864764252949679283,mean,1010.7390569153774 +29,1536519691,Engine RPM,745910964,-4864764252949679283,max,2039.0 +61,1536519691,Engine RPM,745910964,6620863132923446996,mean,1399.8966232538223 +61,1536519691,Engine RPM,745910964,6620863132923446996,max,2544.0 +61,1536519691,Engine RPM,745910964,-5795611060032742115,mean,1456.450253332456 +61,1536519691,Engine RPM,745910964,-5795611060032742115,max,1482.0 +61,1536519691,Engine RPM,745910964,4860578670218065848,mean,1890.5327865862846 +61,1536519691,Engine RPM,745910964,4860578670218065848,max,2126.0 +61,1536519691,Engine RPM,745910964,6322760484456561240,mean,1752.8771031045915 +61,1536519691,Engine RPM,745910964,6322760484456561240,max,2115.0 +61,1536519691,Engine RPM,745910964,550206663238314514,mean,1978.4888134471576 +61,1536519691,Engine RPM,745910964,550206663238314514,max,2119.0 +61,1536519691,Engine RPM,745910964,781714827227337489,mean,1686.7761331661543 +61,1536519691,Engine RPM,745910964,781714827227337489,max,2116.0 +61,1536519691,Engine RPM,745910964,4719402591347559643,mean,1472.4681202371914 +61,1536519691,Engine RPM,745910964,4719402591347559643,max,2328.0 +61,1536519691,Engine RPM,745910964,1474269092050415491,mean,1190.1093670757546 +61,1536519691,Engine RPM,745910964,1474269092050415491,max,2090.0 +68,1536519691,Engine RPM,745910964,-6126722606036010688,mean,1356.2417805695534 +68,1536519691,Engine RPM,745910964,-6126722606036010688,max,2349.0 +68,1536519691,Engine RPM,745910964,8081067765978027437,mean,1496.3187701272964 +68,1536519691,Engine RPM,745910964,8081067765978027437,max,2555.0 +68,1536519691,Engine RPM,745910964,8403538600105999384,mean,1278.8742612274489 +68,1536519691,Engine RPM,745910964,8403538600105999384,max,2735.0 +68,1536519691,Engine RPM,745910964,6390782331344537992,mean,1129.8526757653553 +68,1536519691,Engine RPM,745910964,6390782331344537992,max,2818.0 +68,1536519691,Engine RPM,745910964,277130206934926916,mean,1070.1097059695887 +68,1536519691,Engine RPM,745910964,277130206934926916,max,1960.0 +51,1536519691,Engine RPM,745910964,3238388996955640611,mean,756.6053418302536 +51,1536519691,Engine RPM,745910964,3238388996955640611,max,2321.0 +51,1536519691,Engine RPM,745910964,-88718491495624353,mean,1459.233221423626 +51,1536519691,Engine RPM,745910964,-88718491495624353,max,2311.0 +51,1536519691,Engine RPM,745910964,-5862854291419243362,mean,1930.396239996751 +51,1536519691,Engine RPM,745910964,-5862854291419243362,max,2123.0 +51,1536519691,Engine RPM,745910964,-1424194200765377805,mean,2113.1900966151557 +51,1536519691,Engine RPM,745910964,-1424194200765377805,max,2606.0 +51,1536519691,Engine RPM,745910964,-7788395916106328905,mean,2132.8140435727437 +51,1536519691,Engine RPM,745910964,-7788395916106328905,max,3283.0 +51,1536519691,Engine RPM,745910964,8609551068019499187,mean,2871.3229733347894 +51,1536519691,Engine RPM,745910964,8609551068019499187,max,3682.0 +51,1536519691,Engine RPM,745910964,-7428650751077131271,mean,2148.79644668897 +51,1536519691,Engine RPM,745910964,-7428650751077131271,max,3040.0 +51,1536519691,Engine RPM,745910964,6472007904541297492,mean,1647.9006999317805 +51,1536519691,Engine RPM,745910964,6472007904541297492,max,2130.0 +51,1536519691,Engine RPM,745910964,-4041744526842361366,mean,1771.4465234192212 +51,1536519691,Engine RPM,745910964,-4041744526842361366,max,2126.0 +51,1536519691,Engine RPM,745910964,1357416862770119555,mean,2159.475403312842 +51,1536519691,Engine RPM,745910964,1357416862770119555,max,2241.0 +51,1536519691,Engine RPM,745910964,-4593011562866823924,mean,1926.9328201214473 +51,1536519691,Engine RPM,745910964,-4593011562866823924,max,2203.0 +51,1536519691,Engine RPM,745910964,-1804976348809128358,mean,1495.8410885214805 +51,1536519691,Engine RPM,745910964,-1804976348809128358,max,2436.0 +51,1536519691,Engine RPM,745910964,4131646987955251234,mean,1079.8173880211511 +51,1536519691,Engine RPM,745910964,4131646987955251234,max,2391.0 +51,1536519691,Engine RPM,745910964,1273492564966517938,mean,926.1959436051187 +51,1536519691,Engine RPM,745910964,1273492564966517938,max,989.0 +23,1536519691,Engine RPM,745910964,-8005842839599876772,mean,1157.0820406699181 +23,1536519691,Engine RPM,745910964,-8005842839599876772,max,2290.0 +23,1536519691,Engine RPM,745910964,-4553325854754660475,mean,1296.6999398199716 +23,1536519691,Engine RPM,745910964,-4553325854754660475,max,2723.0 +23,1536519691,Engine RPM,745910964,5852766924700190964,mean,1777.9022006670634 +23,1536519691,Engine RPM,745910964,5852766924700190964,max,2414.0 +23,1536519691,Engine RPM,745910964,20579073522860698,mean,1933.426759973367 +23,1536519691,Engine RPM,745910964,20579073522860698,max,2167.0 +23,1536519691,Engine RPM,745910964,-7734786829373325874,mean,1726.65080627203 +23,1536519691,Engine RPM,745910964,-7734786829373325874,max,1975.0 +23,1536519691,Engine RPM,745910964,6000798843877513145,mean,1737.9497302293778 +23,1536519691,Engine RPM,745910964,6000798843877513145,max,2576.0 +23,1536519691,Engine RPM,745910964,-2412144478269815722,mean,1558.378493587176 +23,1536519691,Engine RPM,745910964,-2412144478269815722,max,2114.0 +23,1536519691,Engine RPM,745910964,-4344498833082471533,mean,1744.625199948152 +23,1536519691,Engine RPM,745910964,-4344498833082471533,max,2292.0 +23,1536519691,Engine RPM,745910964,924457298133810860,mean,2473.2009532284737 +23,1536519691,Engine RPM,745910964,924457298133810860,max,3497.0 +23,1536519691,Engine RPM,745910964,-7580116475277654633,mean,2102.550970095793 +23,1536519691,Engine RPM,745910964,-7580116475277654633,max,3147.0 +23,1536519691,Engine RPM,745910964,3296117162031377415,mean,2350.9181399710974 +23,1536519691,Engine RPM,745910964,3296117162031377415,max,2744.0 +23,1536519691,Engine RPM,745910964,6341471687066278404,mean,2050.576046819687 +23,1536519691,Engine RPM,745910964,6341471687066278404,max,2213.0 +23,1536519691,Engine RPM,745910964,-5809746183561007297,mean,1397.667117017905 +23,1536519691,Engine RPM,745910964,-5809746183561007297,max,2376.0 +23,1536519691,Engine RPM,745910964,6999010301979461701,mean,960.896176559925 +23,1536519691,Engine RPM,745910964,6999010301979461701,max,2202.0 +23,1536519691,Engine RPM,745910964,-8393626956413749514,mean,920.0877923822403 +23,1536519691,Engine RPM,745910964,-8393626956413749514,max,2285.0 +23,1536519691,Engine RPM,745910964,3862771005103099106,mean,898.8895854832284 +23,1536519691,Engine RPM,745910964,3862771005103099106,max,1314.0 +36,1536519691,Engine RPM,745910964,204527417478304454,mean,1217.3519266907374 +36,1536519691,Engine RPM,745910964,204527417478304454,max,2247.0 +36,1536519691,Engine RPM,745910964,-556451775843636538,mean,1341.2749460172654 +36,1536519691,Engine RPM,745910964,-556451775843636538,max,2316.0 +36,1536519691,Engine RPM,745910964,3408293799611561368,mean,1650.1413533814748 +36,1536519691,Engine RPM,745910964,3408293799611561368,max,1764.0 +36,1536519691,Engine RPM,745910964,-5338007793514629842,mean,1850.2898166076343 +36,1536519691,Engine RPM,745910964,-5338007793514629842,max,2009.0 +36,1536519691,Engine RPM,745910964,-1137069397105532288,mean,1567.2340493226052 +36,1536519691,Engine RPM,745910964,-1137069397105532288,max,2378.0 +36,1536519691,Engine RPM,745910964,-1700118458382157722,mean,1662.9227170658112 +36,1536519691,Engine RPM,745910964,-1700118458382157722,max,2159.0 +36,1536519691,Engine RPM,745910964,2192667227207649348,mean,2066.279489976565 +36,1536519691,Engine RPM,745910964,2192667227207649348,max,2198.0 +36,1536519691,Engine RPM,745910964,8105656966893002735,mean,1648.018417081833 +36,1536519691,Engine RPM,745910964,8105656966893002735,max,2190.0 +36,1536519691,Engine RPM,745910964,-8024543609978176115,mean,1352.9804096062978 +36,1536519691,Engine RPM,745910964,-8024543609978176115,max,2557.0 +36,1536519691,Engine RPM,745910964,288539879889133626,mean,906.5909829152813 +36,1536519691,Engine RPM,745910964,288539879889133626,max,2462.0 +60,1536519691,Engine RPM,745910964,8994550711194976101,mean,1450.7978326805433 +60,1536519691,Engine RPM,745910964,8994550711194976101,max,2705.0 +60,1536519691,Engine RPM,745910964,-3369887747991504280,mean,1622.2512402772904 +60,1536519691,Engine RPM,745910964,-3369887747991504280,max,2093.0 +60,1536519691,Engine RPM,745910964,-1663502777501781933,mean,1559.5696537367503 +60,1536519691,Engine RPM,745910964,-1663502777501781933,max,2917.0 +60,1536519691,Engine RPM,745910964,-2858531153623750485,mean,1585.731629983584 +60,1536519691,Engine RPM,745910964,-2858531153623750485,max,2923.0 +60,1536519691,Engine RPM,745910964,7139117831552645516,mean,1548.0323956871032 +60,1536519691,Engine RPM,745910964,7139117831552645516,max,2706.0 +60,1536519691,Engine RPM,745910964,-4418368515133929581,mean,1263.3497104128203 +60,1536519691,Engine RPM,745910964,-4418368515133929581,max,2851.0 +60,1536519691,Engine RPM,745910964,8680070336373675383,mean,355.78616904485517 +60,1536519691,Engine RPM,745910964,8680070336373675383,max,768.0 +18,1536519691,Engine RPM,745910964,-8350171915395335670,mean,950.0883484570186 +18,1536519691,Engine RPM,745910964,-8350171915395335670,max,2215.0 +18,1536519691,Engine RPM,745910964,1662474711066625608,mean,1095.022369608879 +18,1536519691,Engine RPM,745910964,1662474711066625608,max,2347.0 +18,1536519691,Engine RPM,745910964,-1936630640990595099,mean,1602.1601469167074 +18,1536519691,Engine RPM,745910964,-1936630640990595099,max,2000.0 +18,1536519691,Engine RPM,745910964,661059832416265663,mean,2093.669716600577 +18,1536519691,Engine RPM,745910964,661059832416265663,max,2158.0 +18,1536519691,Engine RPM,745910964,7025010372398867179,mean,2319.6472231856983 +18,1536519691,Engine RPM,745910964,7025010372398867179,max,3359.0 +18,1536519691,Engine RPM,745910964,-8979604146688488753,mean,1865.0754806915918 +18,1536519691,Engine RPM,745910964,-8979604146688488753,max,2531.0 +18,1536519691,Engine RPM,745910964,9094167267880357233,mean,2215.4682364821433 +18,1536519691,Engine RPM,745910964,9094167267880357233,max,2798.0 +18,1536519691,Engine RPM,745910964,5473358531798210763,mean,2257.9763731980324 +18,1536519691,Engine RPM,745910964,5473358531798210763,max,2852.0 +18,1536519691,Engine RPM,745910964,-3890557664917581225,mean,2069.115573387146 +18,1536519691,Engine RPM,745910964,-3890557664917581225,max,2157.0 +18,1536519691,Engine RPM,745910964,1029499846640256345,mean,1670.0007601006826 +18,1536519691,Engine RPM,745910964,1029499846640256345,max,2119.0 +18,1536519691,Engine RPM,745910964,-7924633559405390332,mean,2041.5659900053342 +18,1536519691,Engine RPM,745910964,-7924633559405390332,max,2168.0 +18,1536519691,Engine RPM,745910964,4205427211869865406,mean,2041.4685700321197 +18,1536519691,Engine RPM,745910964,4205427211869865406,max,2196.0 +18,1536519691,Engine RPM,745910964,-1451938746766014381,mean,1480.016810259819 +18,1536519691,Engine RPM,745910964,-1451938746766014381,max,2673.0 +18,1536519691,Engine RPM,745910964,-8569862452997595201,mean,1138.846079732577 +18,1536519691,Engine RPM,745910964,-8569862452997595201,max,2452.0 +18,1536519691,Engine RPM,745910964,5191105184419737362,mean,898.7324720651427 +18,1536519691,Engine RPM,745910964,5191105184419737362,max,1585.0 +32,1536519691,Engine RPM,745910964,-1733859818052147839,mean,1227.2037559636433 +32,1536519691,Engine RPM,745910964,-1733859818052147839,max,2584.0 +32,1536519691,Engine RPM,745910964,-4993892818874155889,mean,1421.865463315646 +32,1536519691,Engine RPM,745910964,-4993892818874155889,max,2371.0 +32,1536519691,Engine RPM,745910964,2261921983002578547,mean,1817.8613966107368 +32,1536519691,Engine RPM,745910964,2261921983002578547,max,2200.0 +32,1536519691,Engine RPM,745910964,5321988655865126414,mean,1925.6123000264167 +32,1536519691,Engine RPM,745910964,5321988655865126414,max,2204.0 +32,1536519691,Engine RPM,745910964,5817747525432662088,mean,1445.477137644291 +32,1536519691,Engine RPM,745910964,5817747525432662088,max,2273.0 +32,1536519691,Engine RPM,745910964,3269284487251486356,mean,1612.4138994344075 +32,1536519691,Engine RPM,745910964,3269284487251486356,max,2401.0 +32,1536519691,Engine RPM,745910964,-2258257047619966217,mean,1422.7507164009412 +32,1536519691,Engine RPM,745910964,-2258257047619966217,max,2322.0 +32,1536519691,Engine RPM,745910964,3788357866063142908,mean,1959.316626393795 +32,1536519691,Engine RPM,745910964,3788357866063142908,max,2123.0 +32,1536519691,Engine RPM,745910964,5091102087875318889,mean,1555.4291235685348 +32,1536519691,Engine RPM,745910964,5091102087875318889,max,2014.0 +32,1536519691,Engine RPM,745910964,-2548058912039201561,mean,1241.8271874117852 +32,1536519691,Engine RPM,745910964,-2548058912039201561,max,2565.0 +32,1536519691,Engine RPM,745910964,6132873057187431271,mean,968.980594871083 +32,1536519691,Engine RPM,745910964,6132873057187431271,max,2152.0 +42,1536519691,Engine RPM,745910964,2626999430332121818,mean,1252.0366863059999 +42,1536519691,Engine RPM,745910964,2626999430332121818,max,2288.0 +42,1536519691,Engine RPM,745910964,-6322015411493440737,mean,1427.269339205424 +42,1536519691,Engine RPM,745910964,-6322015411493440737,max,2400.0 +42,1536519691,Engine RPM,745910964,-914010694129767112,mean,1899.8153032573064 +42,1536519691,Engine RPM,745910964,-914010694129767112,max,3019.0 +42,1536519691,Engine RPM,745910964,-5728847502139319130,mean,2058.5612566399573 +42,1536519691,Engine RPM,745910964,-5728847502139319130,max,2203.0 +42,1536519691,Engine RPM,745910964,2816128361288986274,mean,1527.8342373577755 +42,1536519691,Engine RPM,745910964,2816128361288986274,max,2377.0 +42,1536519691,Engine RPM,745910964,-5729569387304801233,mean,1861.3927962422372 +42,1536519691,Engine RPM,745910964,-5729569387304801233,max,2107.0 +42,1536519691,Engine RPM,745910964,1902919711932652253,mean,1738.2092372655868 +42,1536519691,Engine RPM,745910964,1902919711932652253,max,2163.0 +42,1536519691,Engine RPM,745910964,-7910582393820657566,mean,1665.4097434417406 +42,1536519691,Engine RPM,745910964,-7910582393820657566,max,2527.0 +42,1536519691,Engine RPM,745910964,681251266047769326,mean,971.5642361275355 +42,1536519691,Engine RPM,745910964,681251266047769326,max,2818.0 +42,1536519691,Engine RPM,745910964,5727146172658002218,mean,829.4949846417711 +42,1536519691,Engine RPM,745910964,5727146172658002218,max,967.0 +55,1536519691,Engine RPM,745910964,2601288906837801913,mean,977.5969175068537 +55,1536519691,Engine RPM,745910964,2601288906837801913,max,2377.0 +55,1536519691,Engine RPM,745910964,3252049612856378726,mean,1530.108382692337 +55,1536519691,Engine RPM,745910964,3252049612856378726,max,2472.0 +55,1536519691,Engine RPM,745910964,266560447823754654,mean,1864.7468999123573 +55,1536519691,Engine RPM,745910964,266560447823754654,max,2463.0 +55,1536519691,Engine RPM,745910964,-212650512442209966,mean,1980.4247334003448 +55,1536519691,Engine RPM,745910964,-212650512442209966,max,2102.0 +55,1536519691,Engine RPM,745910964,7477055448577922663,mean,1676.1382397294044 +55,1536519691,Engine RPM,745910964,7477055448577922663,max,2238.0 +55,1536519691,Engine RPM,745910964,-158950420790372333,mean,1475.8879934811591 +55,1536519691,Engine RPM,745910964,-158950420790372333,max,2120.0 +55,1536519691,Engine RPM,745910964,4944253236975878047,mean,1534.4162662315368 +55,1536519691,Engine RPM,745910964,4944253236975878047,max,2400.0 +55,1536519691,Engine RPM,745910964,-3488576767645144899,mean,1561.166450006962 +55,1536519691,Engine RPM,745910964,-3488576767645144899,max,1975.0 +55,1536519691,Engine RPM,745910964,516449984654722511,mean,1182.3610763573647 +55,1536519691,Engine RPM,745910964,516449984654722511,max,1901.0 +55,1536519691,Engine RPM,745910964,-6172863660580239459,mean,1151.9888861322404 +55,1536519691,Engine RPM,745910964,-6172863660580239459,max,2382.0 +55,1536519691,Engine RPM,745910964,1478630618784134569,mean,745.0567058831138 +55,1536519691,Engine RPM,745910964,1478630618784134569,max,852.0 +67,1536519691,Engine RPM,745910964,-1970514942387285406,mean,973.3239760343233 +67,1536519691,Engine RPM,745910964,-1970514942387285406,max,2341.0 +67,1536519691,Engine RPM,745910964,-6537112218304863735,mean,428.8913198804855 +67,1536519691,Engine RPM,745910964,-6537112218304863735,max,2077.0 +67,1536519691,Engine RPM,745910964,-1799123258016275803,mean,1339.6247861735026 +67,1536519691,Engine RPM,745910964,-1799123258016275803,max,1998.0 +67,1536519691,Engine RPM,745910964,1477828414653530068,mean,1660.585702791214 +67,1536519691,Engine RPM,745910964,1477828414653530068,max,2616.0 +67,1536519691,Engine RPM,745910964,4608289813661463898,mean,1181.291134589602 +67,1536519691,Engine RPM,745910964,4608289813661463898,max,1991.0 +69,1536519691,Engine RPM,745910964,4761485848407376068,mean,1067.1058607316018 +69,1536519691,Engine RPM,745910964,4761485848407376068,max,2071.0 +69,1536519691,Engine RPM,745910964,-1828806129429524789,mean,1088.1441638557117 +69,1536519691,Engine RPM,745910964,-1828806129429524789,max,3109.0 +69,1536519691,Engine RPM,745910964,-7672568512998929649,mean,814.1544560631116 +69,1536519691,Engine RPM,745910964,-7672568512998929649,max,2979.0 +69,1536519691,Engine RPM,745910964,-1514434980902415488,mean,781.0922108666102 +69,1536519691,Engine RPM,745910964,-1514434980902415488,max,2455.0 +69,1536519691,Engine RPM,745910964,-3623096378945959691,mean,902.1589330724047 +69,1536519691,Engine RPM,745910964,-3623096378945959691,max,1083.0 +59,1536519691,Engine RPM,745910964,4719445548975571955,mean,1321.8000219885507 +59,1536519691,Engine RPM,745910964,4719445548975571955,max,2652.0 +59,1536519691,Engine RPM,745910964,-3292485772554644495,mean,1581.9191834863027 +59,1536519691,Engine RPM,745910964,-3292485772554644495,max,2317.0 +59,1536519691,Engine RPM,745910964,2139037589138114498,mean,1924.5384829433758 +59,1536519691,Engine RPM,745910964,2139037589138114498,max,2707.0 +59,1536519691,Engine RPM,745910964,-3496721355535745336,mean,2086.940413339138 +59,1536519691,Engine RPM,745910964,-3496721355535745336,max,2868.0 +59,1536519691,Engine RPM,745910964,773338811390630069,mean,1341.4416765054068 +59,1536519691,Engine RPM,745910964,773338811390630069,max,2793.0 +59,1536519691,Engine RPM,745910964,-4220463922063735509,mean,1536.740332174301 +59,1536519691,Engine RPM,745910964,-4220463922063735509,max,2457.0 +59,1536519691,Engine RPM,745910964,7027216490136579021,mean,1965.2636665471396 +59,1536519691,Engine RPM,745910964,7027216490136579021,max,2374.0 +59,1536519691,Engine RPM,745910964,4731328367359858820,mean,1960.6769400811195 +59,1536519691,Engine RPM,745910964,4731328367359858820,max,2110.0 +59,1536519691,Engine RPM,745910964,-344629391026944918,mean,1788.8728900750477 +59,1536519691,Engine RPM,745910964,-344629391026944918,max,2191.0 +59,1536519691,Engine RPM,745910964,6530260996257568722,mean,1614.619802347819 +59,1536519691,Engine RPM,745910964,6530260996257568722,max,2842.0 +59,1536519691,Engine RPM,745910964,-45298997236790815,mean,1405.4047840627034 +59,1536519691,Engine RPM,745910964,-45298997236790815,max,2345.0 +59,1536519691,Engine RPM,745910964,-3978593810849050941,mean,874.7414734607806 +59,1536519691,Engine RPM,745910964,-3978593810849050941,max,1515.0 +26,1536519691,Engine RPM,745910964,4153053432685755867,mean,1078.1704042315482 +26,1536519691,Engine RPM,745910964,4153053432685755867,max,2163.0 +26,1536519691,Engine RPM,745910964,8705038148068623274,mean,1552.2997661447525 +26,1536519691,Engine RPM,745910964,8705038148068623274,max,2519.0 +26,1536519691,Engine RPM,745910964,-5913973955687889666,mean,1606.0417479252815 +26,1536519691,Engine RPM,745910964,-5913973955687889666,max,2342.0 +26,1536519691,Engine RPM,745910964,5461498311343473953,mean,1698.5768568865458 +26,1536519691,Engine RPM,745910964,5461498311343473953,max,2185.0 +26,1536519691,Engine RPM,745910964,-6953915438139649709,mean,1017.4519299777348 +26,1536519691,Engine RPM,745910964,-6953915438139649709,max,2273.0 +26,1536519691,Engine RPM,745910964,7932409578725966286,mean,1215.496753985087 +26,1536519691,Engine RPM,745910964,7932409578725966286,max,2133.0 +26,1536519691,Engine RPM,745910964,6503646235098522913,mean,1326.6533025844892 +26,1536519691,Engine RPM,745910964,6503646235098522913,max,2361.0 +26,1536519691,Engine RPM,745910964,171582040947948384,mean,1361.2874459703764 +26,1536519691,Engine RPM,745910964,171582040947948384,max,2379.0 +26,1536519691,Engine RPM,745910964,6437833823825378270,mean,1749.796230143706 +26,1536519691,Engine RPM,745910964,6437833823825378270,max,2305.0 +26,1536519691,Engine RPM,745910964,-5520920265457050211,mean,1521.0450497126578 +26,1536519691,Engine RPM,745910964,-5520920265457050211,max,2273.0 +26,1536519691,Engine RPM,745910964,-8716538506372053547,mean,1514.1117030739783 +26,1536519691,Engine RPM,745910964,-8716538506372053547,max,3404.0 +26,1536519691,Engine RPM,745910964,-8791957642345352241,mean,1581.6095811335247 +26,1536519691,Engine RPM,745910964,-8791957642345352241,max,2997.0 +26,1536519691,Engine RPM,745910964,7101787968095520840,mean,1206.2054665171154 +26,1536519691,Engine RPM,745910964,7101787968095520840,max,2081.0 +47,1536519691,Engine RPM,745910964,-4654316155008899193,mean,1250.4488425469399 +47,1536519691,Engine RPM,745910964,-4654316155008899193,max,2910.0 +47,1536519691,Engine RPM,745910964,-2564587414933426165,mean,1696.2296434791883 +47,1536519691,Engine RPM,745910964,-2564587414933426165,max,2847.0 +47,1536519691,Engine RPM,745910964,-182184831566230672,mean,1475.0138133414587 +47,1536519691,Engine RPM,745910964,-182184831566230672,max,1662.0 +47,1536519691,Engine RPM,745910964,7481445119328349462,mean,1791.517233239015 +47,1536519691,Engine RPM,745910964,7481445119328349462,max,2207.0 +47,1536519691,Engine RPM,745910964,-1055558290624148384,mean,1727.562959897518 +47,1536519691,Engine RPM,745910964,-1055558290624148384,max,2109.0 +47,1536519691,Engine RPM,745910964,-4252525239721842434,mean,2005.7537966426214 +47,1536519691,Engine RPM,745910964,-4252525239721842434,max,2116.0 +47,1536519691,Engine RPM,745910964,-5859785569714628261,mean,1630.0978077141444 +47,1536519691,Engine RPM,745910964,-5859785569714628261,max,2640.0 +47,1536519691,Engine RPM,745910964,7549192748923624194,mean,1335.3225933933259 +47,1536519691,Engine RPM,745910964,7549192748923624194,max,2486.0 +47,1536519691,Engine RPM,745910964,-298413439087160354,mean,1111.6333576480547 +47,1536519691,Engine RPM,745910964,-298413439087160354,max,2519.0 +47,1536519691,Engine RPM,745910964,5597985201656890240,mean,883.442083670973 +47,1536519691,Engine RPM,745910964,5597985201656890240,max,1931.0 +74,1536519691,Engine RPM,745910964,8197826867337487103,mean,1142.638082912763 +74,1536519691,Engine RPM,745910964,8197826867337487103,max,2218.0 +74,1536519691,Engine RPM,745910964,-7005013085701608788,mean,1320.7961190859476 +74,1536519691,Engine RPM,745910964,-7005013085701608788,max,2378.0 +74,1536519691,Engine RPM,745910964,5183795630838443794,mean,1519.9646870954832 +74,1536519691,Engine RPM,745910964,5183795630838443794,max,2342.0 +74,1536519691,Engine RPM,745910964,5411455738685651588,mean,1471.0305164233844 +74,1536519691,Engine RPM,745910964,5411455738685651588,max,2400.0 +74,1536519691,Engine RPM,745910964,-3338528263461052642,mean,918.1943497290138 +74,1536519691,Engine RPM,745910964,-3338528263461052642,max,1984.0 +62,1536519691,Engine RPM,745910964,-8732318785703081467,mean,1216.3976934448879 +62,1536519691,Engine RPM,745910964,-8732318785703081467,max,2024.0 +62,1536519691,Engine RPM,745910964,-1985507518572456389,mean,1439.3913164424896 +62,1536519691,Engine RPM,745910964,-1985507518572456389,max,2222.0 +62,1536519691,Engine RPM,745910964,-4444477421757138479,mean,2123.26317997694 +62,1536519691,Engine RPM,745910964,-4444477421757138479,max,2153.0 +62,1536519691,Engine RPM,745910964,-9191982385102540488,mean,1620.9733832931518 +62,1536519691,Engine RPM,745910964,-9191982385102540488,max,2149.0 +62,1536519691,Engine RPM,745910964,143749360734371219,mean,1148.2977894210815 +62,1536519691,Engine RPM,745910964,143749360734371219,max,2567.0 +62,1536519691,Engine RPM,745910964,-4872830155727361352,mean,722.0690087922414 +62,1536519691,Engine RPM,745910964,-4872830155727361352,max,2902.0 +62,1536519691,Engine RPM,745910964,911392720548416266,mean,913.197244516488 +62,1536519691,Engine RPM,745910964,911392720548416266,max,984.0 +31,1536519691,Engine RPM,745910964,7334319309365602127,mean,1253.4883096122742 +31,1536519691,Engine RPM,745910964,7334319309365602127,max,2665.0 +31,1536519691,Engine RPM,745910964,-6952241234821279653,mean,1390.7441806523004 +31,1536519691,Engine RPM,745910964,-6952241234821279653,max,2593.0 +31,1536519691,Engine RPM,745910964,-7329689832800372154,mean,1688.7678002818425 +31,1536519691,Engine RPM,745910964,-7329689832800372154,max,2344.0 +31,1536519691,Engine RPM,745910964,8675634341088415361,mean,1893.1040901176134 +31,1536519691,Engine RPM,745910964,8675634341088415361,max,2156.0 +31,1536519691,Engine RPM,745910964,-1614653628144850617,mean,1145.3024204246203 +31,1536519691,Engine RPM,745910964,-1614653628144850617,max,2383.0 +31,1536519691,Engine RPM,745910964,-7508054505244524681,mean,1059.4268465558687 +31,1536519691,Engine RPM,745910964,-7508054505244524681,max,1904.0 +31,1536519691,Engine RPM,745910964,-3084577932566494825,mean,1201.018609998226 +31,1536519691,Engine RPM,745910964,-3084577932566494825,max,2135.0 +31,1536519691,Engine RPM,745910964,3822287264082244613,mean,1453.029173716704 +31,1536519691,Engine RPM,745910964,3822287264082244613,max,2124.0 +31,1536519691,Engine RPM,745910964,6737570132919633357,mean,1751.984600207011 +31,1536519691,Engine RPM,745910964,6737570132919633357,max,2596.0 +31,1536519691,Engine RPM,745910964,3012106753698655909,mean,1878.7009798725446 +31,1536519691,Engine RPM,745910964,3012106753698655909,max,2246.0 +31,1536519691,Engine RPM,745910964,-7618540406532273281,mean,1571.855149623553 +31,1536519691,Engine RPM,745910964,-7618540406532273281,max,2514.0 +31,1536519691,Engine RPM,745910964,3889143334378345888,mean,1064.9406081249672 +31,1536519691,Engine RPM,745910964,3889143334378345888,max,2552.0 +56,1536519691,Engine RPM,745910964,8123394725850917885,mean,1602.820359667937 +56,1536519691,Engine RPM,745910964,8123394725850917885,max,2132.0 +56,1536519691,Engine RPM,745910964,-1046511681226664689,mean,1464.3434099721908 +56,1536519691,Engine RPM,745910964,-1046511681226664689,max,2010.0 +56,1536519691,Engine RPM,745910964,2648102136930468184,mean,1754.98956331412 +56,1536519691,Engine RPM,745910964,2648102136930468184,max,2039.0 +56,1536519691,Engine RPM,745910964,-4048696948698146214,mean,1837.747636525631 +56,1536519691,Engine RPM,745910964,-4048696948698146214,max,2113.0 +56,1536519691,Engine RPM,745910964,944396468636205011,mean,2084.0947833546 +56,1536519691,Engine RPM,745910964,944396468636205011,max,2116.0 +56,1536519691,Engine RPM,745910964,-6817004895348570172,mean,1576.8601596538226 +56,1536519691,Engine RPM,745910964,-6817004895348570172,max,2224.0 +56,1536519691,Engine RPM,745910964,8831618023738512773,mean,1318.0968229699135 +56,1536519691,Engine RPM,745910964,8831618023738512773,max,2718.0 +56,1536519691,Engine RPM,745910964,2687746313449816374,mean,917.9140393907522 +56,1536519691,Engine RPM,745910964,2687746313449816374,max,2256.0 +73,1536519691,Engine RPM,745910964,4523272755367799698,mean,1228.5723164772987 +73,1536519691,Engine RPM,745910964,4523272755367799698,max,2110.0 +73,1536519691,Engine RPM,745910964,896521032974556603,mean,1576.0722199964523 +73,1536519691,Engine RPM,745910964,896521032974556603,max,2539.0 +73,1536519691,Engine RPM,745910964,-1050738676596185885,mean,1546.832653245926 +73,1536519691,Engine RPM,745910964,-1050738676596185885,max,2121.0 +73,1536519691,Engine RPM,745910964,4385308202182965481,mean,1421.2535717680532 +73,1536519691,Engine RPM,745910964,4385308202182965481,max,2286.0 +6,1536519691,Engine RPM,745910964,-1394394096037571104,mean,1129.9828198838234 +6,1536519691,Engine RPM,745910964,-1394394096037571104,max,2410.0 +6,1536519691,Engine RPM,745910964,-2691094298226346589,mean,1142.1725242916743 +6,1536519691,Engine RPM,745910964,-2691094298226346589,max,2217.0 +6,1536519691,Engine RPM,745910964,6860514990513619091,mean,1627.6256063930193 +6,1536519691,Engine RPM,745910964,6860514990513619091,max,2498.0 +6,1536519691,Engine RPM,745910964,-4162498534290220995,mean,2142.0440833592415 +6,1536519691,Engine RPM,745910964,-4162498534290220995,max,2220.0 +6,1536519691,Engine RPM,745910964,2054748237335978485,mean,1715.5604933754603 +6,1536519691,Engine RPM,745910964,2054748237335978485,max,2162.0 +6,1536519691,Engine RPM,745910964,2626509422757143553,mean,1521.3491436346371 +6,1536519691,Engine RPM,745910964,2626509422757143553,max,2588.0 +6,1536519691,Engine RPM,745910964,2000083195525582791,mean,1236.5268019167581 +6,1536519691,Engine RPM,745910964,2000083195525582791,max,2256.0 +6,1536519691,Engine RPM,745910964,8610027352653179338,mean,1264.0524061409633 +6,1536519691,Engine RPM,745910964,8610027352653179338,max,2136.0 +6,1536519691,Engine RPM,745910964,6395831196270021352,mean,1185.7398466245334 +6,1536519691,Engine RPM,745910964,6395831196270021352,max,1792.0 +6,1536519691,Engine RPM,745910964,8508651689457065104,mean,1804.3857294662794 +6,1536519691,Engine RPM,745910964,8508651689457065104,max,2398.0 +6,1536519691,Engine RPM,745910964,-7793819619641014861,mean,2372.7742898281417 +6,1536519691,Engine RPM,745910964,-7793819619641014861,max,3151.0 +6,1536519691,Engine RPM,745910964,5467814215830920594,mean,2073.9513132588067 +6,1536519691,Engine RPM,745910964,5467814215830920594,max,3333.0 +6,1536519691,Engine RPM,745910964,-1860662210035167068,mean,2415.2820366597175 +6,1536519691,Engine RPM,745910964,-1860662210035167068,max,3309.0 +6,1536519691,Engine RPM,745910964,-6945299436179949519,mean,2029.806980038484 +6,1536519691,Engine RPM,745910964,-6945299436179949519,max,2168.0 +6,1536519691,Engine RPM,745910964,-1729960652171471111,mean,1390.9899199295044 +6,1536519691,Engine RPM,745910964,-1729960652171471111,max,2162.0 +6,1536519691,Engine RPM,745910964,-8812263413850676211,mean,1113.4615969602266 +6,1536519691,Engine RPM,745910964,-8812263413850676211,max,2288.0 +6,1536519691,Engine RPM,745910964,-1798088285913267114,mean,1093.9545303145 +6,1536519691,Engine RPM,745910964,-1798088285913267114,max,2119.0 +78,1536519691,Engine RPM,745910964,5294170818768885339,mean,1576.003016968568 +78,1536519691,Engine RPM,745910964,5294170818768885339,max,2887.0 +78,1536519691,Engine RPM,745910964,-1154201476582854824,mean,1495.1741894380252 +78,1536519691,Engine RPM,745910964,-1154201476582854824,max,2669.0 +78,1536519691,Engine RPM,745910964,-813622423853931016,mean,1430.6626932569225 +78,1536519691,Engine RPM,745910964,-813622423853931016,max,3632.0 +19,1536519691,Engine RPM,745910964,-3356675012993143896,mean,1100.1608643746376 +19,1536519691,Engine RPM,745910964,-3356675012993143896,max,2299.0 +19,1536519691,Engine RPM,745910964,6463582268130007518,mean,1282.1730330427488 +19,1536519691,Engine RPM,745910964,6463582268130007518,max,2605.0 +19,1536519691,Engine RPM,745910964,-9111168078945314327,mean,1310.8183871849378 +19,1536519691,Engine RPM,745910964,-9111168078945314327,max,2327.0 +19,1536519691,Engine RPM,745910964,5488279268636878675,mean,1184.7892502999305 +19,1536519691,Engine RPM,745910964,5488279268636878675,max,2057.0 +19,1536519691,Engine RPM,745910964,-2660599978070287231,mean,1707.095643055439 +19,1536519691,Engine RPM,745910964,-2660599978070287231,max,2451.0 +19,1536519691,Engine RPM,745910964,7451807916847646230,mean,2054.776473303636 +19,1536519691,Engine RPM,745910964,7451807916847646230,max,2204.0 +19,1536519691,Engine RPM,745910964,-4487995308057033748,mean,1811.2305999151865 +19,1536519691,Engine RPM,745910964,-4487995308057033748,max,2889.0 +19,1536519691,Engine RPM,745910964,7277350476905986017,mean,1515.021813348929 +19,1536519691,Engine RPM,745910964,7277350476905986017,max,2315.0 +19,1536519691,Engine RPM,745910964,1371327360263847058,mean,2059.3089399560295 +19,1536519691,Engine RPM,745910964,1371327360263847058,max,2834.0 +19,1536519691,Engine RPM,745910964,3219527159620630771,mean,2282.3779465810458 +19,1536519691,Engine RPM,745910964,3219527159620630771,max,2641.0 +19,1536519691,Engine RPM,745910964,6713896122986430611,mean,1857.2953801647823 +19,1536519691,Engine RPM,745910964,6713896122986430611,max,2810.0 +19,1536519691,Engine RPM,745910964,-3768288284699778848,mean,1455.550206741492 +19,1536519691,Engine RPM,745910964,-3768288284699778848,max,2297.0 +19,1536519691,Engine RPM,745910964,2325249180465838548,mean,884.7479982371204 +19,1536519691,Engine RPM,745910964,2325249180465838548,max,2023.0 +48,1536519691,Engine RPM,745910964,1491300315704737212,mean,1221.7685138853392 +48,1536519691,Engine RPM,745910964,1491300315704737212,max,2721.0 +48,1536519691,Engine RPM,745910964,-2350903210287799770,mean,1676.2293666903179 +48,1536519691,Engine RPM,745910964,-2350903210287799770,max,1771.0 +48,1536519691,Engine RPM,745910964,4601541102476287155,mean,1669.276240011851 +48,1536519691,Engine RPM,745910964,4601541102476287155,max,2188.0 +48,1536519691,Engine RPM,745910964,5265324114477743223,mean,1840.1503167851765 +48,1536519691,Engine RPM,745910964,5265324114477743223,max,2188.0 +48,1536519691,Engine RPM,745910964,7984211624847946074,mean,1951.1929131881395 +48,1536519691,Engine RPM,745910964,7984211624847946074,max,2132.0 +48,1536519691,Engine RPM,745910964,-6646186806073771190,mean,2092.705576659044 +48,1536519691,Engine RPM,745910964,-6646186806073771190,max,2121.0 +48,1536519691,Engine RPM,745910964,-8970993473608194075,mean,1498.8663863635063 +48,1536519691,Engine RPM,745910964,-8970993473608194075,max,2173.0 +48,1536519691,Engine RPM,745910964,1655222084741646317,mean,1326.7760390114784 +48,1536519691,Engine RPM,745910964,1655222084741646317,max,2412.0 +48,1536519691,Engine RPM,745910964,-5239627947532290426,mean,907.9746870144113 +48,1536519691,Engine RPM,745910964,-5239627947532290426,max,2089.0 +79,1536519691,Engine RPM,745910964,7270820280479128058,mean,1040.0505135528247 +79,1536519691,Engine RPM,745910964,7270820280479128058,max,2835.0 +79,1536519691,Engine RPM,745910964,272880823488140209,mean,1350.7704006210963 +79,1536519691,Engine RPM,745910964,272880823488140209,max,2263.0 +79,1536519691,Engine RPM,745910964,583385662263129797,mean,1568.8649835324288 +79,1536519691,Engine RPM,745910964,583385662263129797,max,2589.0 +79,1536519691,Engine RPM,745910964,-1015133610627519850,mean,1030.2081988605448 +79,1536519691,Engine RPM,745910964,-1015133610627519850,max,2012.0 +21,710165350,Engine RPM,1145194498,-1261003686562807062,value,1668.0 +21,710165350,Vehicle Speed Sensor,1145194498,-1261003686562807062,value,99.0 +71,710165350,Engine RPM,1145194498,-4783112722892454367,value,1674.0 +71,710165350,Engine RPM,1145194498,-4397316674531634,value,1672.0 +71,710165350,Vehicle Speed Sensor,1145194498,-4783112722892454367,value,99.0 +71,710165350,Vehicle Speed Sensor,1145194498,-4397316674531634,value,99.0 +2,710165350,Engine RPM,1145194498,4796523804604972621,value,1701.0 +2,710165350,Engine RPM,1145194498,7658777077717821952,value,1648.0 +2,710165350,Engine RPM,1145194498,273599153896049444,value,1696.0 +2,710165350,Engine RPM,1145194498,-3388822473865443701,value,1684.0 +2,710165350,Engine RPM,1145194498,-8938252843317464605,value,1696.0 +2,710165350,Engine RPM,1145194498,-8981207959810557030,value,1699.0 +2,710165350,Engine RPM,1145194498,-7859681221937751801,value,1696.0 +2,710165350,Engine RPM,1145194498,-584027937600752324,value,1676.0 +2,710165350,Engine RPM,1145194498,5467804365905833815,value,2032.0 +2,710165350,Engine RPM,1145194498,1694288310847079901,value,2036.0 +2,710165350,Engine RPM,1145194498,-4187689137243599165,value,1697.0 +2,710165350,Engine RPM,1145194498,69959138315529276,value,2019.0 +2,710165350,Engine RPM,1145194498,-3919364065144953026,value,1688.0 +2,710165350,Engine RPM,1145194498,6951683469934578242,value,2023.0 +2,710165350,Engine RPM,1145194498,-6401498747280009360,value,2020.0 +2,710165350,Engine RPM,1145194498,-1928511712161305640,value,2029.0 +2,710165350,Vehicle Speed Sensor,1145194498,4796523804604972621,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,7658777077717821952,value,98.0 +2,710165350,Vehicle Speed Sensor,1145194498,273599153896049444,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-3388822473865443701,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-8938252843317464605,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-8981207959810557030,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-7859681221937751801,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-584027937600752324,value,99.0 +2,710165350,Vehicle Speed Sensor,1145194498,5467804365905833815,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,1694288310847079901,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-4187689137243599165,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,69959138315529276,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-3919364065144953026,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,6951683469934578242,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-6401498747280009360,value,100.0 +2,710165350,Vehicle Speed Sensor,1145194498,-1928511712161305640,value,100.0 +13,710165350,Engine RPM,1145194498,-666014970594878286,value,1688.0 +13,710165350,Engine RPM,1145194498,3999930550856703006,value,1695.0 +13,710165350,Engine RPM,1145194498,-8231207579673654105,value,1668.0 +13,710165350,Engine RPM,1145194498,-8052312578031169827,value,1677.0 +13,710165350,Engine RPM,1145194498,-6898660369605154072,value,1664.0 +13,710165350,Engine RPM,1145194498,3813506245641007165,value,1246.0 +13,710165350,Engine RPM,1145194498,-4940874420896070481,value,1689.0 +13,710165350,Engine RPM,1145194498,9006029980804940114,value,1684.0 +13,710165350,Engine RPM,1145194498,4684200781375360434,value,1680.0 +13,710165350,Engine RPM,1145194498,7268191193743788606,value,1690.0 +13,710165350,Engine RPM,1145194498,-2833507361958089669,value,1697.0 +13,710165350,Vehicle Speed Sensor,1145194498,-666014970594878286,value,100.0 +13,710165350,Vehicle Speed Sensor,1145194498,3999930550856703006,value,100.0 +13,710165350,Vehicle Speed Sensor,1145194498,-8231207579673654105,value,99.0 +13,710165350,Vehicle Speed Sensor,1145194498,-8052312578031169827,value,99.0 +13,710165350,Vehicle Speed Sensor,1145194498,-6898660369605154072,value,98.0 +13,710165350,Vehicle Speed Sensor,1145194498,3813506245641007165,value,93.0 +13,710165350,Vehicle Speed Sensor,1145194498,-4940874420896070481,value,100.0 +13,710165350,Vehicle Speed Sensor,1145194498,9006029980804940114,value,100.0 +13,710165350,Vehicle Speed Sensor,1145194498,4684200781375360434,value,99.0 +13,710165350,Vehicle Speed Sensor,1145194498,7268191193743788606,value,100.0 +13,710165350,Vehicle Speed Sensor,1145194498,-2833507361958089669,value,100.0 +65,710165350,Engine RPM,1145194498,-477778172516140360,value,1695.0 +65,710165350,Engine RPM,1145194498,-3743247122899494458,value,1689.0 +65,710165350,Vehicle Speed Sensor,1145194498,-477778172516140360,value,100.0 +65,710165350,Vehicle Speed Sensor,1145194498,-3743247122899494458,value,100.0 +5,710165350,Engine RPM,1145194498,2814383022730364805,value,1695.0 +5,710165350,Engine RPM,1145194498,-8729431113056738217,value,1677.0 +5,710165350,Engine RPM,1145194498,-4817264583184088991,value,1678.0 +5,710165350,Engine RPM,1145194498,-6959662160913929083,value,1687.0 +5,710165350,Engine RPM,1145194498,7050460136240669461,value,1692.0 +5,710165350,Engine RPM,1145194498,-4555359000005696264,value,1684.0 +5,710165350,Engine RPM,1145194498,8466014557392319612,value,1710.0 +5,710165350,Engine RPM,1145194498,-809424291430792146,value,1700.0 +5,710165350,Engine RPM,1145194498,-8159387705233519375,value,1692.0 +5,710165350,Engine RPM,1145194498,6535911167898277254,value,1682.0 +5,710165350,Engine RPM,1145194498,-7432274454033015768,value,1740.0 +5,710165350,Engine RPM,1145194498,1430266421290030378,value,1693.0 +5,710165350,Engine RPM,1145194498,6847138930569696037,value,1685.0 +5,710165350,Engine RPM,1145194498,-6433161363581552907,value,1696.0 +5,710165350,Vehicle Speed Sensor,1145194498,2814383022730364805,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-8729431113056738217,value,99.0 +5,710165350,Vehicle Speed Sensor,1145194498,-4817264583184088991,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-6959662160913929083,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,7050460136240669461,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-4555359000005696264,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,8466014557392319612,value,99.0 +5,710165350,Vehicle Speed Sensor,1145194498,-809424291430792146,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-8159387705233519375,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,6535911167898277254,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-7432274454033015768,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,1430266421290030378,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,6847138930569696037,value,100.0 +5,710165350,Vehicle Speed Sensor,1145194498,-6433161363581552907,value,100.0 +45,710165350,Engine RPM,1145194498,-7200038409326538692,value,1695.0 +45,710165350,Engine RPM,1145194498,-7897471522370137136,value,1645.0 +45,710165350,Vehicle Speed Sensor,1145194498,-7200038409326538692,value,100.0 +45,710165350,Vehicle Speed Sensor,1145194498,-7897471522370137136,value,97.0 +7,710165350,Engine RPM,1145194498,-4068002183879878039,value,1673.0 +7,710165350,Engine RPM,1145194498,7959796961432514511,value,1695.0 +7,710165350,Engine RPM,1145194498,-1081519875087424226,value,1702.0 +7,710165350,Engine RPM,1145194498,5516813833163060098,value,1691.0 +7,710165350,Engine RPM,1145194498,-723184203249066736,value,1666.0 +7,710165350,Engine RPM,1145194498,-9122062888001434183,value,1586.0 +7,710165350,Engine RPM,1145194498,2486734416043121130,value,1659.0 +7,710165350,Engine RPM,1145194498,6482508714587744351,value,1682.0 +7,710165350,Engine RPM,1145194498,-8322388002046870074,value,1697.0 +7,710165350,Engine RPM,1145194498,-3677283411086214953,value,1656.0 +7,710165350,Engine RPM,1145194498,-8070031492333908783,value,1700.0 +7,710165350,Engine RPM,1145194498,-7835551336407208201,value,1677.0 +7,710165350,Engine RPM,1145194498,-3360740666379453863,value,1681.0 +7,710165350,Engine RPM,1145194498,5124276714805863610,value,1687.0 +7,710165350,Engine RPM,1145194498,722555799461154262,value,1694.0 +7,710165350,Engine RPM,1145194498,4264330088353165270,value,1688.0 +7,710165350,Engine RPM,1145194498,-5534490895990199121,value,1664.0 +7,710165350,Vehicle Speed Sensor,1145194498,-4068002183879878039,value,99.0 +7,710165350,Vehicle Speed Sensor,1145194498,7959796961432514511,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-1081519875087424226,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,5516813833163060098,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-723184203249066736,value,98.0 +7,710165350,Vehicle Speed Sensor,1145194498,-9122062888001434183,value,94.0 +7,710165350,Vehicle Speed Sensor,1145194498,2486734416043121130,value,98.0 +7,710165350,Vehicle Speed Sensor,1145194498,6482508714587744351,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-8322388002046870074,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-3677283411086214953,value,98.0 +7,710165350,Vehicle Speed Sensor,1145194498,-8070031492333908783,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-7835551336407208201,value,99.0 +7,710165350,Vehicle Speed Sensor,1145194498,-3360740666379453863,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,5124276714805863610,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,722555799461154262,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,4264330088353165270,value,100.0 +7,710165350,Vehicle Speed Sensor,1145194498,-5534490895990199121,value,98.0 +41,710165350,Engine RPM,1145194498,-4782626432336232569,value,1695.0 +41,710165350,Engine RPM,1145194498,-131467417267481441,value,1674.0 +41,710165350,Engine RPM,1145194498,-4608326314440123112,value,1645.0 +41,710165350,Engine RPM,1145194498,8517244830707832032,value,1649.0 +41,710165350,Engine RPM,1145194498,-1402043131841697204,value,1678.0 +41,710165350,Engine RPM,1145194498,4026235201572999003,value,1695.0 +41,710165350,Engine RPM,1145194498,1548813508705014672,value,1693.0 +41,710165350,Engine RPM,1145194498,-5107365432119774210,value,1693.0 +41,710165350,Engine RPM,1145194498,-745547972628431510,value,1693.0 +41,710165350,Engine RPM,1145194498,-5956684301735466423,value,1651.0 +41,710165350,Engine RPM,1145194498,2380828909956518594,value,1698.0 +41,710165350,Engine RPM,1145194498,7011063713487044052,value,1687.0 +41,710165350,Vehicle Speed Sensor,1145194498,-4782626432336232569,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,-131467417267481441,value,99.0 +41,710165350,Vehicle Speed Sensor,1145194498,-4608326314440123112,value,98.0 +41,710165350,Vehicle Speed Sensor,1145194498,8517244830707832032,value,97.0 +41,710165350,Vehicle Speed Sensor,1145194498,-1402043131841697204,value,99.0 +41,710165350,Vehicle Speed Sensor,1145194498,4026235201572999003,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,1548813508705014672,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,-5107365432119774210,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,-745547972628431510,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,-5956684301735466423,value,98.0 +41,710165350,Vehicle Speed Sensor,1145194498,2380828909956518594,value,100.0 +41,710165350,Vehicle Speed Sensor,1145194498,7011063713487044052,value,100.0 +64,710165350,Engine RPM,1145194498,-1854971338617218094,value,1696.0 +64,710165350,Vehicle Speed Sensor,1145194498,-1854971338617218094,value,100.0 +66,710165350,Engine RPM,1145194498,-936598282344546660,value,1685.0 +66,710165350,Vehicle Speed Sensor,1145194498,-936598282344546660,value,100.0 +1,710165350,Engine RPM,1145194498,93199986758518620,value,1672.0 +1,710165350,Engine RPM,1145194498,2924624935514328618,value,1680.0 +1,710165350,Engine RPM,1145194498,-8721310610247946626,value,1676.0 +1,710165350,Engine RPM,1145194498,8826995476416769541,value,1611.0 +1,710165350,Engine RPM,1145194498,-2897298173717287730,value,1648.0 +1,710165350,Engine RPM,1145194498,4994537603041345310,value,1696.0 +1,710165350,Engine RPM,1145194498,-4650089439437291657,value,1680.0 +1,710165350,Engine RPM,1145194498,6843298508888121572,value,1688.0 +1,710165350,Engine RPM,1145194498,-2085856106981218579,value,1679.0 +1,710165350,Engine RPM,1145194498,7818651616702154530,value,1676.0 +1,710165350,Engine RPM,1145194498,3456732803919009217,value,1683.0 +1,710165350,Engine RPM,1145194498,-7092353067229674274,value,1687.0 +1,710165350,Engine RPM,1145194498,4106940344613219491,value,1690.0 +1,710165350,Engine RPM,1145194498,2779616945426907961,value,1695.0 +1,710165350,Engine RPM,1145194498,3699682941448076544,value,1691.0 +1,710165350,Engine RPM,1145194498,3510788199016686426,value,1658.0 +1,710165350,Engine RPM,1145194498,-1922429971832575583,value,1690.0 +1,710165350,Engine RPM,1145194498,8577657681126234105,value,1656.0 +1,710165350,Engine RPM,1145194498,-5413747790094030996,value,1630.0 +1,710165350,Vehicle Speed Sensor,1145194498,93199986758518620,value,99.0 +1,710165350,Vehicle Speed Sensor,1145194498,2924624935514328618,value,99.0 +1,710165350,Vehicle Speed Sensor,1145194498,-8721310610247946626,value,99.0 +1,710165350,Vehicle Speed Sensor,1145194498,8826995476416769541,value,96.0 +1,710165350,Vehicle Speed Sensor,1145194498,-2897298173717287730,value,97.0 +1,710165350,Vehicle Speed Sensor,1145194498,4994537603041345310,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,-4650089439437291657,value,99.0 +1,710165350,Vehicle Speed Sensor,1145194498,6843298508888121572,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,-2085856106981218579,value,99.0 +1,710165350,Vehicle Speed Sensor,1145194498,7818651616702154530,value,98.0 +1,710165350,Vehicle Speed Sensor,1145194498,3456732803919009217,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,-7092353067229674274,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,4106940344613219491,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,2779616945426907961,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,3699682941448076544,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,3510788199016686426,value,98.0 +1,710165350,Vehicle Speed Sensor,1145194498,-1922429971832575583,value,100.0 +1,710165350,Vehicle Speed Sensor,1145194498,8577657681126234105,value,98.0 +1,710165350,Vehicle Speed Sensor,1145194498,-5413747790094030996,value,96.0 +15,710165350,Engine RPM,1145194498,-6687596381296257844,value,1703.0 +15,710165350,Engine RPM,1145194498,-4268865286719707554,value,1693.0 +15,710165350,Engine RPM,1145194498,3102954354717809917,value,1689.0 +15,710165350,Engine RPM,1145194498,6691904739153058316,value,1685.0 +15,710165350,Engine RPM,1145194498,6420396625073010093,value,1693.0 +15,710165350,Engine RPM,1145194498,8256106956433942598,value,1687.0 +15,710165350,Vehicle Speed Sensor,1145194498,-6687596381296257844,value,100.0 +15,710165350,Vehicle Speed Sensor,1145194498,-4268865286719707554,value,100.0 +15,710165350,Vehicle Speed Sensor,1145194498,3102954354717809917,value,100.0 +15,710165350,Vehicle Speed Sensor,1145194498,6691904739153058316,value,100.0 +15,710165350,Vehicle Speed Sensor,1145194498,6420396625073010093,value,100.0 +15,710165350,Vehicle Speed Sensor,1145194498,8256106956433942598,value,100.0 +3,710165350,Engine RPM,1145194498,561722127122516098,value,1688.0 +3,710165350,Engine RPM,1145194498,8298080093035324498,value,1685.0 +3,710165350,Engine RPM,1145194498,2955483181286186625,value,1680.0 +3,710165350,Engine RPM,1145194498,-549469412013214126,value,1671.0 +3,710165350,Engine RPM,1145194498,-843517712391172597,value,1581.0 +3,710165350,Engine RPM,1145194498,-6462796728201565389,value,1700.0 +3,710165350,Engine RPM,1145194498,-2886545351520726861,value,1694.0 +3,710165350,Engine RPM,1145194498,3643885288426486394,value,1701.0 +3,710165350,Engine RPM,1145194498,-9207512492446885243,value,1655.0 +3,710165350,Engine RPM,1145194498,-7470021899778236900,value,1693.0 +3,710165350,Engine RPM,1145194498,5975473687983776632,value,1696.0 +3,710165350,Engine RPM,1145194498,-2216600205812679796,value,1694.0 +3,710165350,Engine RPM,1145194498,6747860132374288814,value,1675.0 +3,710165350,Engine RPM,1145194498,-8984716147172067387,value,1703.0 +3,710165350,Vehicle Speed Sensor,1145194498,561722127122516098,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,8298080093035324498,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,2955483181286186625,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,-549469412013214126,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,-843517712391172597,value,94.0 +3,710165350,Vehicle Speed Sensor,1145194498,-6462796728201565389,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,-2886545351520726861,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,3643885288426486394,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,-9207512492446885243,value,98.0 +3,710165350,Vehicle Speed Sensor,1145194498,-7470021899778236900,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,5975473687983776632,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,-2216600205812679796,value,100.0 +3,710165350,Vehicle Speed Sensor,1145194498,6747860132374288814,value,99.0 +3,710165350,Vehicle Speed Sensor,1145194498,-8984716147172067387,value,100.0 +37,710165350,Engine RPM,1145194498,-8032789388558229111,value,1695.0 +37,710165350,Engine RPM,1145194498,-1024950986810664291,value,1684.0 +37,710165350,Engine RPM,1145194498,-4568072146471058167,value,1731.0 +37,710165350,Engine RPM,1145194498,1881206990152459731,value,1692.0 +37,710165350,Engine RPM,1145194498,-6018409855615318378,value,1631.0 +37,710165350,Engine RPM,1145194498,-3368899367864020302,value,1674.0 +37,710165350,Engine RPM,1145194498,8633518960338586881,value,1669.0 +37,710165350,Vehicle Speed Sensor,1145194498,-8032789388558229111,value,100.0 +37,710165350,Vehicle Speed Sensor,1145194498,-1024950986810664291,value,100.0 +37,710165350,Vehicle Speed Sensor,1145194498,-4568072146471058167,value,99.0 +37,710165350,Vehicle Speed Sensor,1145194498,1881206990152459731,value,100.0 +37,710165350,Vehicle Speed Sensor,1145194498,-6018409855615318378,value,97.0 +37,710165350,Vehicle Speed Sensor,1145194498,-3368899367864020302,value,99.0 +37,710165350,Vehicle Speed Sensor,1145194498,8633518960338586881,value,99.0 +27,710165350,Engine RPM,1145194498,3723694930616535379,value,1700.0 +27,710165350,Engine RPM,1145194498,-4346643692103057613,value,1693.0 +27,710165350,Engine RPM,1145194498,3443471569207140446,value,1687.0 +27,710165350,Engine RPM,1145194498,-2564750293760040173,value,1676.0 +27,710165350,Engine RPM,1145194498,6067211627997573744,value,1689.0 +27,710165350,Engine RPM,1145194498,-1421193387752726308,value,1696.0 +27,710165350,Vehicle Speed Sensor,1145194498,3723694930616535379,value,100.0 +27,710165350,Vehicle Speed Sensor,1145194498,-4346643692103057613,value,100.0 +27,710165350,Vehicle Speed Sensor,1145194498,3443471569207140446,value,100.0 +27,710165350,Vehicle Speed Sensor,1145194498,-2564750293760040173,value,99.0 +27,710165350,Vehicle Speed Sensor,1145194498,6067211627997573744,value,100.0 +27,710165350,Vehicle Speed Sensor,1145194498,-1421193387752726308,value,100.0 +57,710165350,Engine RPM,1145194498,4314707841074299239,value,1687.0 +57,710165350,Engine RPM,1145194498,-994382967173689911,value,1673.0 +57,710165350,Engine RPM,1145194498,722114015076093674,value,1685.0 +57,710165350,Engine RPM,1145194498,-335485691871038796,value,1691.0 +57,710165350,Engine RPM,1145194498,-4203058560198071613,value,1699.0 +57,710165350,Engine RPM,1145194498,6132577937660706336,value,1641.0 +57,710165350,Engine RPM,1145194498,-7511691311426017358,value,1678.0 +57,710165350,Vehicle Speed Sensor,1145194498,4314707841074299239,value,99.0 +57,710165350,Vehicle Speed Sensor,1145194498,-994382967173689911,value,99.0 +57,710165350,Vehicle Speed Sensor,1145194498,722114015076093674,value,99.0 +57,710165350,Vehicle Speed Sensor,1145194498,-335485691871038796,value,100.0 +57,710165350,Vehicle Speed Sensor,1145194498,-4203058560198071613,value,100.0 +57,710165350,Vehicle Speed Sensor,1145194498,6132577937660706336,value,97.0 +57,710165350,Vehicle Speed Sensor,1145194498,-7511691311426017358,value,99.0 +24,710165350,Engine RPM,1145194498,-8217671234283688985,value,1662.0 +24,710165350,Engine RPM,1145194498,4049011112519244278,value,1689.0 +24,710165350,Engine RPM,1145194498,-6853685109072234342,value,1696.0 +24,710165350,Engine RPM,1145194498,4475124629325581523,value,1688.0 +24,710165350,Engine RPM,1145194498,3069876647541734095,value,1691.0 +24,710165350,Engine RPM,1145194498,6246348408611778644,value,1715.0 +24,710165350,Engine RPM,1145194498,8370014330606816883,value,1694.0 +24,710165350,Engine RPM,1145194498,784666343109087482,value,1643.0 +24,710165350,Engine RPM,1145194498,-4798033739431022066,value,1688.0 +24,710165350,Vehicle Speed Sensor,1145194498,-8217671234283688985,value,98.0 +24,710165350,Vehicle Speed Sensor,1145194498,4049011112519244278,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,-6853685109072234342,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,4475124629325581523,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,3069876647541734095,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,6246348408611778644,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,8370014330606816883,value,100.0 +24,710165350,Vehicle Speed Sensor,1145194498,784666343109087482,value,97.0 +24,710165350,Vehicle Speed Sensor,1145194498,-4798033739431022066,value,100.0 +52,710165350,Engine RPM,1145194498,-4798211627542128286,value,1698.0 +52,710165350,Engine RPM,1145194498,7614713438224697815,value,1690.0 +52,710165350,Engine RPM,1145194498,1563790760662301657,value,1694.0 +52,710165350,Engine RPM,1145194498,-6637447797062036246,value,1693.0 +52,710165350,Engine RPM,1145194498,1935143542273246333,value,1680.0 +52,710165350,Engine RPM,1145194498,-4169439260975627903,value,1634.0 +52,710165350,Engine RPM,1145194498,-5820373687570902843,value,1687.0 +52,710165350,Engine RPM,1145194498,4362097400989435532,value,1713.0 +52,710165350,Engine RPM,1145194498,4913306032746680812,value,1682.0 +52,710165350,Engine RPM,1145194498,-5381954650235853135,value,2044.0 +52,710165350,Engine RPM,1145194498,-4849035310943814145,value,1697.0 +52,710165350,Vehicle Speed Sensor,1145194498,-4798211627542128286,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,7614713438224697815,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,1563790760662301657,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,-6637447797062036246,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,1935143542273246333,value,99.0 +52,710165350,Vehicle Speed Sensor,1145194498,-4169439260975627903,value,97.0 +52,710165350,Vehicle Speed Sensor,1145194498,-5820373687570902843,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,4362097400989435532,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,4913306032746680812,value,99.0 +52,710165350,Vehicle Speed Sensor,1145194498,-5381954650235853135,value,100.0 +52,710165350,Vehicle Speed Sensor,1145194498,-4849035310943814145,value,100.0 +28,710165350,Engine RPM,1145194498,-453129657550885124,value,1702.0 +28,710165350,Engine RPM,1145194498,2981585352239762833,value,1701.0 +28,710165350,Engine RPM,1145194498,5167454479538051404,value,1051.0 +28,710165350,Engine RPM,1145194498,1841941223604325095,value,1691.0 +28,710165350,Engine RPM,1145194498,3945484290986620594,value,1699.0 +28,710165350,Engine RPM,1145194498,-2526642953200613453,value,1609.0 +28,710165350,Engine RPM,1145194498,-2804188892699193419,value,1692.0 +28,710165350,Vehicle Speed Sensor,1145194498,-453129657550885124,value,100.0 +28,710165350,Vehicle Speed Sensor,1145194498,2981585352239762833,value,100.0 +28,710165350,Vehicle Speed Sensor,1145194498,5167454479538051404,value,98.0 +28,710165350,Vehicle Speed Sensor,1145194498,1841941223604325095,value,100.0 +28,710165350,Vehicle Speed Sensor,1145194498,3945484290986620594,value,100.0 +28,710165350,Vehicle Speed Sensor,1145194498,-2526642953200613453,value,95.0 +28,710165350,Vehicle Speed Sensor,1145194498,-2804188892699193419,value,100.0 +54,710165350,Engine RPM,1145194498,6695494733338509361,value,1693.0 +54,710165350,Engine RPM,1145194498,-6148121936540531759,value,1654.0 +54,710165350,Engine RPM,1145194498,-9120766463790653503,value,1660.0 +54,710165350,Vehicle Speed Sensor,1145194498,6695494733338509361,value,100.0 +54,710165350,Vehicle Speed Sensor,1145194498,-6148121936540531759,value,98.0 +54,710165350,Vehicle Speed Sensor,1145194498,-9120766463790653503,value,98.0 +39,710165350,Engine RPM,1145194498,8686943794493369999,value,1690.0 +39,710165350,Engine RPM,1145194498,5170032758417358286,value,1699.0 +39,710165350,Engine RPM,1145194498,-6832972918930122325,value,1692.0 +39,710165350,Vehicle Speed Sensor,1145194498,8686943794493369999,value,100.0 +39,710165350,Vehicle Speed Sensor,1145194498,5170032758417358286,value,100.0 +39,710165350,Vehicle Speed Sensor,1145194498,-6832972918930122325,value,100.0 +35,710165350,Engine RPM,1145194498,369947649317581059,value,1676.0 +35,710165350,Engine RPM,1145194498,-1550667350460938532,value,1697.0 +35,710165350,Engine RPM,1145194498,-8882947773316642619,value,1698.0 +35,710165350,Engine RPM,1145194498,6539228485740025115,value,1695.0 +35,710165350,Engine RPM,1145194498,-7389449701362572949,value,1697.0 +35,710165350,Engine RPM,1145194498,-5570100741995034344,value,1689.0 +35,710165350,Engine RPM,1145194498,8299045986265974845,value,1696.0 +35,710165350,Engine RPM,1145194498,4332598838308831352,value,1675.0 +35,710165350,Vehicle Speed Sensor,1145194498,369947649317581059,value,99.0 +35,710165350,Vehicle Speed Sensor,1145194498,-1550667350460938532,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,-8882947773316642619,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,6539228485740025115,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,-7389449701362572949,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,-5570100741995034344,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,8299045986265974845,value,100.0 +35,710165350,Vehicle Speed Sensor,1145194498,4332598838308831352,value,99.0 +43,710165350,Engine RPM,1145194498,-5562701725018999325,value,1669.0 +43,710165350,Engine RPM,1145194498,4774002149173996174,value,1700.0 +43,710165350,Engine RPM,1145194498,3070159962621074392,value,1692.0 +43,710165350,Engine RPM,1145194498,6959278342414132642,value,1674.0 +43,710165350,Engine RPM,1145194498,5094345395929628587,value,1666.0 +43,710165350,Engine RPM,1145194498,-5081662600068729572,value,1682.0 +43,710165350,Vehicle Speed Sensor,1145194498,-5562701725018999325,value,98.0 +43,710165350,Vehicle Speed Sensor,1145194498,4774002149173996174,value,100.0 +43,710165350,Vehicle Speed Sensor,1145194498,3070159962621074392,value,100.0 +43,710165350,Vehicle Speed Sensor,1145194498,6959278342414132642,value,99.0 +43,710165350,Vehicle Speed Sensor,1145194498,5094345395929628587,value,99.0 +43,710165350,Vehicle Speed Sensor,1145194498,-5081662600068729572,value,100.0 +49,710165350,Engine RPM,1145194498,-6468170624750877505,value,1695.0 +49,710165350,Engine RPM,1145194498,-36183761489986655,value,1688.0 +49,710165350,Engine RPM,1145194498,3944782743309345593,value,1697.0 +49,710165350,Engine RPM,1145194498,-363835293387571232,value,1679.0 +49,710165350,Engine RPM,1145194498,2352024418593182200,value,1695.0 +49,710165350,Engine RPM,1145194498,1438074065498578745,value,1701.0 +49,710165350,Engine RPM,1145194498,5260532101621615989,value,1666.0 +49,710165350,Engine RPM,1145194498,-2102055527147265320,value,1677.0 +49,710165350,Engine RPM,1145194498,8007536877339937749,value,1671.0 +49,710165350,Vehicle Speed Sensor,1145194498,-6468170624750877505,value,100.0 +49,710165350,Vehicle Speed Sensor,1145194498,-36183761489986655,value,100.0 +49,710165350,Vehicle Speed Sensor,1145194498,3944782743309345593,value,100.0 +49,710165350,Vehicle Speed Sensor,1145194498,-363835293387571232,value,99.0 +49,710165350,Vehicle Speed Sensor,1145194498,2352024418593182200,value,100.0 +49,710165350,Vehicle Speed Sensor,1145194498,1438074065498578745,value,100.0 +49,710165350,Vehicle Speed Sensor,1145194498,5260532101621615989,value,99.0 +49,710165350,Vehicle Speed Sensor,1145194498,-2102055527147265320,value,99.0 +49,710165350,Vehicle Speed Sensor,1145194498,8007536877339937749,value,99.0 +22,710165350,Engine RPM,1145194498,8374257136489248436,value,1690.0 +22,710165350,Engine RPM,1145194498,5153541891591349399,value,1663.0 +22,710165350,Engine RPM,1145194498,4251152940479630809,value,1699.0 +22,710165350,Engine RPM,1145194498,8478455417063601674,value,1687.0 +22,710165350,Engine RPM,1145194498,-2995368898412716033,value,1639.0 +22,710165350,Engine RPM,1145194498,3814377046164442867,value,1685.0 +22,710165350,Engine RPM,1145194498,-882476809919550067,value,1657.0 +22,710165350,Engine RPM,1145194498,-2711962059525347806,value,1694.0 +22,710165350,Engine RPM,1145194498,-785485493518242112,value,1685.0 +22,710165350,Engine RPM,1145194498,-2265454268404881166,value,1694.0 +22,710165350,Engine RPM,1145194498,8807146575552833686,value,1652.0 +22,710165350,Engine RPM,1145194498,-597167369109938417,value,1663.0 +22,710165350,Engine RPM,1145194498,-2875988433869585313,value,1677.0 +22,710165350,Engine RPM,1145194498,-3920401671821944860,value,1670.0 +22,710165350,Engine RPM,1145194498,4419225101410960701,value,1555.0 +22,710165350,Engine RPM,1145194498,3154323223517644372,value,1681.0 +22,710165350,Vehicle Speed Sensor,1145194498,8374257136489248436,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,5153541891591349399,value,98.0 +22,710165350,Vehicle Speed Sensor,1145194498,4251152940479630809,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,8478455417063601674,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,-2995368898412716033,value,97.0 +22,710165350,Vehicle Speed Sensor,1145194498,3814377046164442867,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,-882476809919550067,value,98.0 +22,710165350,Vehicle Speed Sensor,1145194498,-2711962059525347806,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,-785485493518242112,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,-2265454268404881166,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,8807146575552833686,value,98.0 +22,710165350,Vehicle Speed Sensor,1145194498,-597167369109938417,value,99.0 +22,710165350,Vehicle Speed Sensor,1145194498,-2875988433869585313,value,99.0 +22,710165350,Vehicle Speed Sensor,1145194498,-3920401671821944860,value,100.0 +22,710165350,Vehicle Speed Sensor,1145194498,4419225101410960701,value,92.0 +22,710165350,Vehicle Speed Sensor,1145194498,3154323223517644372,value,99.0 +16,710165350,Engine RPM,1145194498,8839681516388137826,value,1700.0 +16,710165350,Engine RPM,1145194498,5140635824636496959,value,1694.0 +16,710165350,Engine RPM,1145194498,1276643522893513240,value,1677.0 +16,710165350,Engine RPM,1145194498,-6343770807155176009,value,1692.0 +16,710165350,Engine RPM,1145194498,-6344743203650373566,value,1689.0 +16,710165350,Engine RPM,1145194498,5313260213195188513,value,1684.0 +16,710165350,Engine RPM,1145194498,7614505510218672746,value,1686.0 +16,710165350,Engine RPM,1145194498,-7173630818839853099,value,1695.0 +16,710165350,Engine RPM,1145194498,-8999132893734701575,value,1694.0 +16,710165350,Engine RPM,1145194498,7053321482741591263,value,1683.0 +16,710165350,Engine RPM,1145194498,1514243774193889089,value,1688.0 +16,710165350,Engine RPM,1145194498,-2559529030132889745,value,1676.0 +16,710165350,Vehicle Speed Sensor,1145194498,8839681516388137826,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,5140635824636496959,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,1276643522893513240,value,99.0 +16,710165350,Vehicle Speed Sensor,1145194498,-6343770807155176009,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,-6344743203650373566,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,5313260213195188513,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,7614505510218672746,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,-7173630818839853099,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,-8999132893734701575,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,7053321482741591263,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,1514243774193889089,value,100.0 +16,710165350,Vehicle Speed Sensor,1145194498,-2559529030132889745,value,99.0 +70,710165350,Engine RPM,1145194498,2307597231628904368,value,1639.0 +70,710165350,Vehicle Speed Sensor,1145194498,2307597231628904368,value,97.0 +4,710165350,Engine RPM,1145194498,-7196852400690573459,value,1655.0 +4,710165350,Engine RPM,1145194498,4797644273695314762,value,1680.0 +4,710165350,Engine RPM,1145194498,1913454955610869881,value,1698.0 +4,710165350,Engine RPM,1145194498,2556845120506093447,value,1697.0 +4,710165350,Engine RPM,1145194498,3117145499148330554,value,1697.0 +4,710165350,Engine RPM,1145194498,-2898184344025861995,value,1699.0 +4,710165350,Engine RPM,1145194498,4679837623894233133,value,1697.0 +4,710165350,Engine RPM,1145194498,-6968156385797934043,value,1694.0 +4,710165350,Engine RPM,1145194498,-5634251652680290314,value,1692.0 +4,710165350,Engine RPM,1145194498,-400025584119814774,value,1670.0 +4,710165350,Engine RPM,1145194498,3552243205942312053,value,1703.0 +4,710165350,Engine RPM,1145194498,-8630027656993898088,value,1688.0 +4,710165350,Engine RPM,1145194498,1827279925884706716,value,1686.0 +4,710165350,Engine RPM,1145194498,-6567248653586127157,value,1693.0 +4,710165350,Engine RPM,1145194498,-7820073104022530890,value,1691.0 +4,710165350,Engine RPM,1145194498,-2940391720906732719,value,1695.0 +4,710165350,Engine RPM,1145194498,-2792795393710809714,value,1821.0 +4,710165350,Vehicle Speed Sensor,1145194498,-7196852400690573459,value,98.0 +4,710165350,Vehicle Speed Sensor,1145194498,4797644273695314762,value,99.0 +4,710165350,Vehicle Speed Sensor,1145194498,1913454955610869881,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,2556845120506093447,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,3117145499148330554,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-2898184344025861995,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,4679837623894233133,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-6968156385797934043,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-5634251652680290314,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-400025584119814774,value,99.0 +4,710165350,Vehicle Speed Sensor,1145194498,3552243205942312053,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-8630027656993898088,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,1827279925884706716,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-6567248653586127157,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-7820073104022530890,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-2940391720906732719,value,100.0 +4,710165350,Vehicle Speed Sensor,1145194498,-2792795393710809714,value,99.0 +8,710165350,Engine RPM,1145194498,-8113022102368339347,value,1683.0 +8,710165350,Engine RPM,1145194498,6076192161733425671,value,1684.0 +8,710165350,Engine RPM,1145194498,516344699335411494,value,2029.0 +8,710165350,Engine RPM,1145194498,-6591706396840672555,value,1699.0 +8,710165350,Engine RPM,1145194498,4868036070845257446,value,1691.0 +8,710165350,Engine RPM,1145194498,1277000573352240631,value,2020.0 +8,710165350,Engine RPM,1145194498,6764883746090872866,value,1379.0 +8,710165350,Engine RPM,1145194498,-9064299650493732934,value,1684.0 +8,710165350,Engine RPM,1145194498,4627050124245973684,value,1696.0 +8,710165350,Engine RPM,1145194498,1890421565767347403,value,1703.0 +8,710165350,Engine RPM,1145194498,-8544221255272045792,value,1640.0 +8,710165350,Vehicle Speed Sensor,1145194498,-8113022102368339347,value,99.0 +8,710165350,Vehicle Speed Sensor,1145194498,6076192161733425671,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,516344699335411494,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,-6591706396840672555,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,4868036070845257446,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,1277000573352240631,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,6764883746090872866,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,-9064299650493732934,value,99.0 +8,710165350,Vehicle Speed Sensor,1145194498,4627050124245973684,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,1890421565767347403,value,100.0 +8,710165350,Vehicle Speed Sensor,1145194498,-8544221255272045792,value,97.0 +20,710165350,Engine RPM,1145194498,-7532741062324356543,value,1691.0 +20,710165350,Engine RPM,1145194498,-814025618591822404,value,1690.0 +20,710165350,Engine RPM,1145194498,-7071788236580831242,value,1653.0 +20,710165350,Engine RPM,1145194498,-4962636844909571889,value,1698.0 +20,710165350,Engine RPM,1145194498,5817536054142902595,value,2025.0 +20,710165350,Vehicle Speed Sensor,1145194498,-7532741062324356543,value,100.0 +20,710165350,Vehicle Speed Sensor,1145194498,-814025618591822404,value,100.0 +20,710165350,Vehicle Speed Sensor,1145194498,-7071788236580831242,value,98.0 +20,710165350,Vehicle Speed Sensor,1145194498,-4962636844909571889,value,100.0 +20,710165350,Vehicle Speed Sensor,1145194498,5817536054142902595,value,100.0 +44,710165350,Engine RPM,1145194498,-6391542769655246165,value,1693.0 +44,710165350,Engine RPM,1145194498,-4046192966901799757,value,1667.0 +44,710165350,Engine RPM,1145194498,-863285897412597645,value,1698.0 +44,710165350,Engine RPM,1145194498,4291989877499740178,value,1691.0 +44,710165350,Engine RPM,1145194498,8933633396006274361,value,1690.0 +44,710165350,Engine RPM,1145194498,9215116908790285674,value,1688.0 +44,710165350,Engine RPM,1145194498,230488926173319762,value,1690.0 +44,710165350,Engine RPM,1145194498,-7688010170349237428,value,1677.0 +44,710165350,Engine RPM,1145194498,-3465210583712708221,value,1695.0 +44,710165350,Engine RPM,1145194498,-343715048814121806,value,1697.0 +44,710165350,Engine RPM,1145194498,4864465289839405522,value,1689.0 +44,710165350,Engine RPM,1145194498,159891449405745560,value,1560.0 +44,710165350,Vehicle Speed Sensor,1145194498,-6391542769655246165,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,-4046192966901799757,value,99.0 +44,710165350,Vehicle Speed Sensor,1145194498,-863285897412597645,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,4291989877499740178,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,8933633396006274361,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,9215116908790285674,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,230488926173319762,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,-7688010170349237428,value,99.0 +44,710165350,Vehicle Speed Sensor,1145194498,-3465210583712708221,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,-343715048814121806,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,4864465289839405522,value,100.0 +44,710165350,Vehicle Speed Sensor,1145194498,159891449405745560,value,92.0 +30,710165350,Engine RPM,1145194498,4400324869208423881,value,1062.0 +30,710165350,Engine RPM,1145194498,-1826679164668202683,value,1669.0 +30,710165350,Engine RPM,1145194498,5797152821388943324,value,1701.0 +30,710165350,Engine RPM,1145194498,-7124189464950862536,value,1700.0 +30,710165350,Engine RPM,1145194498,4502944475951836140,value,1671.0 +30,710165350,Engine RPM,1145194498,-2384635318724751006,value,1696.0 +30,710165350,Engine RPM,1145194498,6574627721426199410,value,1688.0 +30,710165350,Engine RPM,1145194498,-2350063490928624707,value,1664.0 +30,710165350,Engine RPM,1145194498,-7382858323783154736,value,1687.0 +30,710165350,Engine RPM,1145194498,168312678437322270,value,1697.0 +30,710165350,Vehicle Speed Sensor,1145194498,4400324869208423881,value,98.0 +30,710165350,Vehicle Speed Sensor,1145194498,-1826679164668202683,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,5797152821388943324,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,-7124189464950862536,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,4502944475951836140,value,99.0 +30,710165350,Vehicle Speed Sensor,1145194498,-2384635318724751006,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,6574627721426199410,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,-2350063490928624707,value,99.0 +30,710165350,Vehicle Speed Sensor,1145194498,-7382858323783154736,value,100.0 +30,710165350,Vehicle Speed Sensor,1145194498,168312678437322270,value,100.0 +50,710165350,Engine RPM,1145194498,5649193314586768546,value,1673.0 +50,710165350,Engine RPM,1145194498,4810177685037016489,value,1673.0 +50,710165350,Engine RPM,1145194498,-283228888230825248,value,1673.0 +50,710165350,Engine RPM,1145194498,-9134422853728850423,value,1673.0 +50,710165350,Engine RPM,1145194498,-7399130767383625831,value,1639.0 +50,710165350,Engine RPM,1145194498,2510397064698732475,value,1691.0 +50,710165350,Engine RPM,1145194498,8944972352213994974,value,1665.0 +50,710165350,Engine RPM,1145194498,-8589948187541081611,value,1691.0 +50,710165350,Engine RPM,1145194498,9095432982057093595,value,1681.0 +50,710165350,Engine RPM,1145194498,8132213944752376592,value,1690.0 +50,710165350,Engine RPM,1145194498,5463235204377267221,value,1695.0 +50,710165350,Engine RPM,1145194498,4661312421451008506,value,1698.0 +50,710165350,Engine RPM,1145194498,1597551059197561460,value,1697.0 +50,710165350,Vehicle Speed Sensor,1145194498,5649193314586768546,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,4810177685037016489,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,-283228888230825248,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,-9134422853728850423,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,-7399130767383625831,value,97.0 +50,710165350,Vehicle Speed Sensor,1145194498,2510397064698732475,value,100.0 +50,710165350,Vehicle Speed Sensor,1145194498,8944972352213994974,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,-8589948187541081611,value,100.0 +50,710165350,Vehicle Speed Sensor,1145194498,9095432982057093595,value,99.0 +50,710165350,Vehicle Speed Sensor,1145194498,8132213944752376592,value,100.0 +50,710165350,Vehicle Speed Sensor,1145194498,5463235204377267221,value,100.0 +50,710165350,Vehicle Speed Sensor,1145194498,4661312421451008506,value,100.0 +50,710165350,Vehicle Speed Sensor,1145194498,1597551059197561460,value,100.0 +33,710165350,Engine RPM,1145194498,3893740591128389211,value,1696.0 +33,710165350,Engine RPM,1145194498,-5933343819086372073,value,1687.0 +33,710165350,Engine RPM,1145194498,9155988209248799418,value,1696.0 +33,710165350,Engine RPM,1145194498,1412104589338419182,value,2006.0 +33,710165350,Engine RPM,1145194498,-3590020504260380930,value,2029.0 +33,710165350,Engine RPM,1145194498,6919525508883506506,value,2026.0 +33,710165350,Engine RPM,1145194498,-4644260197604175396,value,2004.0 +33,710165350,Engine RPM,1145194498,4678769338675347122,value,1630.0 +33,710165350,Engine RPM,1145194498,-3632374698853863395,value,1686.0 +33,710165350,Engine RPM,1145194498,-7628162281719743451,value,1692.0 +33,710165350,Engine RPM,1145194498,1087319075217393208,value,1408.0 +33,710165350,Vehicle Speed Sensor,1145194498,3893740591128389211,value,100.0 +33,710165350,Vehicle Speed Sensor,1145194498,-5933343819086372073,value,98.0 +33,710165350,Vehicle Speed Sensor,1145194498,9155988209248799418,value,100.0 +33,710165350,Vehicle Speed Sensor,1145194498,1412104589338419182,value,99.0 +33,710165350,Vehicle Speed Sensor,1145194498,-3590020504260380930,value,100.0 +33,710165350,Vehicle Speed Sensor,1145194498,6919525508883506506,value,100.0 +33,710165350,Vehicle Speed Sensor,1145194498,-4644260197604175396,value,99.0 +33,710165350,Vehicle Speed Sensor,1145194498,4678769338675347122,value,97.0 +33,710165350,Vehicle Speed Sensor,1145194498,-3632374698853863395,value,99.0 +33,710165350,Vehicle Speed Sensor,1145194498,-7628162281719743451,value,100.0 +33,710165350,Vehicle Speed Sensor,1145194498,1087319075217393208,value,95.0 +10,710165350,Engine RPM,1145194498,6201077108542778209,value,1685.0 +10,710165350,Engine RPM,1145194498,9218217170222898224,value,2017.0 +10,710165350,Engine RPM,1145194498,5307537029139122513,value,2035.0 +10,710165350,Engine RPM,1145194498,-6816697520662448086,value,1992.0 +10,710165350,Engine RPM,1145194498,-4655813798266397328,value,1644.0 +10,710165350,Engine RPM,1145194498,-7832909028827189208,value,1680.0 +10,710165350,Engine RPM,1145194498,-2456943487900768662,value,1660.0 +10,710165350,Engine RPM,1145194498,-4116458615235724283,value,1637.0 +10,710165350,Engine RPM,1145194498,3366726328939867709,value,1693.0 +10,710165350,Vehicle Speed Sensor,1145194498,6201077108542778209,value,100.0 +10,710165350,Vehicle Speed Sensor,1145194498,9218217170222898224,value,100.0 +10,710165350,Vehicle Speed Sensor,1145194498,5307537029139122513,value,100.0 +10,710165350,Vehicle Speed Sensor,1145194498,-6816697520662448086,value,99.0 +10,710165350,Vehicle Speed Sensor,1145194498,-4655813798266397328,value,97.0 +10,710165350,Vehicle Speed Sensor,1145194498,-7832909028827189208,value,99.0 +10,710165350,Vehicle Speed Sensor,1145194498,-2456943487900768662,value,98.0 +10,710165350,Vehicle Speed Sensor,1145194498,-4116458615235724283,value,97.0 +10,710165350,Vehicle Speed Sensor,1145194498,3366726328939867709,value,100.0 +40,710165350,Engine RPM,1145194498,3414398676493184665,value,1669.0 +40,710165350,Engine RPM,1145194498,6977236157630485535,value,1692.0 +40,710165350,Engine RPM,1145194498,9034299778974589819,value,1611.0 +40,710165350,Engine RPM,1145194498,1169356607678771595,value,1689.0 +40,710165350,Engine RPM,1145194498,-7248924236777786749,value,1697.0 +40,710165350,Engine RPM,1145194498,-1038607893211107736,value,1698.0 +40,710165350,Engine RPM,1145194498,-2869293322994639902,value,1696.0 +40,710165350,Engine RPM,1145194498,6628773469848268158,value,1609.0 +40,710165350,Engine RPM,1145194498,-6029733222872805688,value,1698.0 +40,710165350,Engine RPM,1145194498,-7139113848965999580,value,1673.0 +40,710165350,Engine RPM,1145194498,5155430178483638929,value,1686.0 +40,710165350,Vehicle Speed Sensor,1145194498,3414398676493184665,value,98.0 +40,710165350,Vehicle Speed Sensor,1145194498,6977236157630485535,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,9034299778974589819,value,96.0 +40,710165350,Vehicle Speed Sensor,1145194498,1169356607678771595,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,-7248924236777786749,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,-1038607893211107736,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,-2869293322994639902,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,6628773469848268158,value,95.0 +40,710165350,Vehicle Speed Sensor,1145194498,-6029733222872805688,value,100.0 +40,710165350,Vehicle Speed Sensor,1145194498,-7139113848965999580,value,99.0 +40,710165350,Vehicle Speed Sensor,1145194498,5155430178483638929,value,100.0 +46,710165350,Engine RPM,1145194498,7802695949804254422,value,1679.0 +46,710165350,Engine RPM,1145194498,-6500155918240691998,value,1679.0 +46,710165350,Engine RPM,1145194498,-7965530951944427049,value,1787.0 +46,710165350,Engine RPM,1145194498,1485308795626066539,value,1688.0 +46,710165350,Engine RPM,1145194498,8892349655163001443,value,1692.0 +46,710165350,Engine RPM,1145194498,-5491970419781130376,value,1698.0 +46,710165350,Engine RPM,1145194498,-5566820361837008878,value,1686.0 +46,710165350,Engine RPM,1145194498,-7364644797185306637,value,1689.0 +46,710165350,Engine RPM,1145194498,186152754638224147,value,1695.0 +46,710165350,Engine RPM,1145194498,1820470503697966103,value,1665.0 +46,710165350,Engine RPM,1145194498,-5248070083997543764,value,1645.0 +46,710165350,Vehicle Speed Sensor,1145194498,7802695949804254422,value,99.0 +46,710165350,Vehicle Speed Sensor,1145194498,-6500155918240691998,value,99.0 +46,710165350,Vehicle Speed Sensor,1145194498,-7965530951944427049,value,99.0 +46,710165350,Vehicle Speed Sensor,1145194498,1485308795626066539,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,8892349655163001443,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,-5491970419781130376,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,-5566820361837008878,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,-7364644797185306637,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,186152754638224147,value,100.0 +46,710165350,Vehicle Speed Sensor,1145194498,1820470503697966103,value,98.0 +46,710165350,Vehicle Speed Sensor,1145194498,-5248070083997543764,value,97.0 +53,710165350,Engine RPM,1145194498,5117923843464141171,value,1585.0 +53,710165350,Engine RPM,1145194498,-6574070868408202182,value,1595.0 +53,710165350,Engine RPM,1145194498,6414266418036777350,value,1430.0 +53,710165350,Engine RPM,1145194498,5180381402023912895,value,1671.0 +53,710165350,Engine RPM,1145194498,5407778476094075372,value,1683.0 +53,710165350,Engine RPM,1145194498,3123299611800861669,value,1684.0 +53,710165350,Vehicle Speed Sensor,1145194498,5117923843464141171,value,92.0 +53,710165350,Vehicle Speed Sensor,1145194498,-6574070868408202182,value,93.0 +53,710165350,Vehicle Speed Sensor,1145194498,6414266418036777350,value,82.0 +53,710165350,Vehicle Speed Sensor,1145194498,5180381402023912895,value,97.0 +53,710165350,Vehicle Speed Sensor,1145194498,5407778476094075372,value,99.0 +53,710165350,Vehicle Speed Sensor,1145194498,3123299611800861669,value,100.0 +34,710165350,Engine RPM,1145194498,5587618591320305453,value,1688.0 +34,710165350,Engine RPM,1145194498,-34690090422789272,value,1697.0 +34,710165350,Engine RPM,1145194498,4321364429204637384,value,1690.0 +34,710165350,Engine RPM,1145194498,-9203758713871941337,value,1696.0 +34,710165350,Engine RPM,1145194498,-7425222566574948233,value,1683.0 +34,710165350,Engine RPM,1145194498,-4941794540959423870,value,1663.0 +34,710165350,Engine RPM,1145194498,1593823593829091078,value,1689.0 +34,710165350,Engine RPM,1145194498,-737050432543829332,value,1682.0 +34,710165350,Engine RPM,1145194498,-4484946891615232187,value,1684.0 +34,710165350,Engine RPM,1145194498,7995595687455439346,value,1638.0 +34,710165350,Vehicle Speed Sensor,1145194498,5587618591320305453,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-34690090422789272,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,4321364429204637384,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-9203758713871941337,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-7425222566574948233,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-4941794540959423870,value,98.0 +34,710165350,Vehicle Speed Sensor,1145194498,1593823593829091078,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-737050432543829332,value,100.0 +34,710165350,Vehicle Speed Sensor,1145194498,-4484946891615232187,value,99.0 +34,710165350,Vehicle Speed Sensor,1145194498,7995595687455439346,value,97.0 +17,710165350,Engine RPM,1145194498,-5701823969706518384,value,1674.0 +17,710165350,Engine RPM,1145194498,7945354730957057620,value,1671.0 +17,710165350,Engine RPM,1145194498,-5353712408519035690,value,1668.0 +17,710165350,Engine RPM,1145194498,3509686062543019078,value,1694.0 +17,710165350,Engine RPM,1145194498,6666557868531477725,value,1686.0 +17,710165350,Engine RPM,1145194498,-2537805848749420880,value,1683.0 +17,710165350,Engine RPM,1145194498,7809490011833613429,value,1703.0 +17,710165350,Engine RPM,1145194498,-9143654913676239472,value,1691.0 +17,710165350,Engine RPM,1145194498,673506116811590999,value,1682.0 +17,710165350,Vehicle Speed Sensor,1145194498,-5701823969706518384,value,99.0 +17,710165350,Vehicle Speed Sensor,1145194498,7945354730957057620,value,99.0 +17,710165350,Vehicle Speed Sensor,1145194498,-5353712408519035690,value,98.0 +17,710165350,Vehicle Speed Sensor,1145194498,3509686062543019078,value,100.0 +17,710165350,Vehicle Speed Sensor,1145194498,6666557868531477725,value,100.0 +17,710165350,Vehicle Speed Sensor,1145194498,-2537805848749420880,value,99.0 +17,710165350,Vehicle Speed Sensor,1145194498,7809490011833613429,value,100.0 +17,710165350,Vehicle Speed Sensor,1145194498,-9143654913676239472,value,100.0 +17,710165350,Vehicle Speed Sensor,1145194498,673506116811590999,value,99.0 +11,710165350,Engine RPM,1145194498,-5033207903719927847,value,1499.0 +11,710165350,Engine RPM,1145194498,-5315862539385560776,value,1628.0 +11,710165350,Engine RPM,1145194498,8638794978513472345,value,1660.0 +11,710165350,Engine RPM,1145194498,-2011333594252346682,value,1664.0 +11,710165350,Engine RPM,1145194498,-7559835655854114781,value,1652.0 +11,710165350,Engine RPM,1145194498,-7683194708535588088,value,1674.0 +11,710165350,Engine RPM,1145194498,-8651445242697267386,value,1687.0 +11,710165350,Engine RPM,1145194498,-2238372905723472827,value,1675.0 +11,710165350,Engine RPM,1145194498,-5315658345196666667,value,1692.0 +11,710165350,Engine RPM,1145194498,-2250511842907402400,value,1682.0 +11,710165350,Engine RPM,1145194498,6009956286065167291,value,1689.0 +11,710165350,Engine RPM,1145194498,4215429958083596907,value,1680.0 +11,710165350,Engine RPM,1145194498,-5486624105170074739,value,1672.0 +11,710165350,Engine RPM,1145194498,6327840917921608312,value,1694.0 +11,710165350,Engine RPM,1145194498,-6457920603669111194,value,1699.0 +11,710165350,Engine RPM,1145194498,180524166303475868,value,1684.0 +11,710165350,Engine RPM,1145194498,6230036742105890972,value,1637.0 +11,710165350,Vehicle Speed Sensor,1145194498,-5033207903719927847,value,88.0 +11,710165350,Vehicle Speed Sensor,1145194498,-5315862539385560776,value,95.0 +11,710165350,Vehicle Speed Sensor,1145194498,8638794978513472345,value,98.0 +11,710165350,Vehicle Speed Sensor,1145194498,-2011333594252346682,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,-7559835655854114781,value,97.0 +11,710165350,Vehicle Speed Sensor,1145194498,-7683194708535588088,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,-8651445242697267386,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,-2238372905723472827,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,-5315658345196666667,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,-2250511842907402400,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,6009956286065167291,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,4215429958083596907,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,-5486624105170074739,value,99.0 +11,710165350,Vehicle Speed Sensor,1145194498,6327840917921608312,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,-6457920603669111194,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,180524166303475868,value,100.0 +11,710165350,Vehicle Speed Sensor,1145194498,6230036742105890972,value,97.0 +12,710165350,Engine RPM,1145194498,-4023213142268627761,value,900.0 +12,710165350,Engine RPM,1145194498,3748199258414470602,value,1681.0 +12,710165350,Engine RPM,1145194498,1253887578529928526,value,1696.0 +12,710165350,Engine RPM,1145194498,-7121402083187471727,value,1697.0 +12,710165350,Engine RPM,1145194498,8036435043832879245,value,1669.0 +12,710165350,Engine RPM,1145194498,3010700152440050521,value,1697.0 +12,710165350,Engine RPM,1145194498,5870840107651329064,value,1668.0 +12,710165350,Engine RPM,1145194498,4957257371014300759,value,1673.0 +12,710165350,Engine RPM,1145194498,1819255646518034011,value,1667.0 +12,710165350,Engine RPM,1145194498,-1339175549560033334,value,1659.0 +12,710165350,Vehicle Speed Sensor,1145194498,-4023213142268627761,value,5.0 +12,710165350,Vehicle Speed Sensor,1145194498,3748199258414470602,value,100.0 +12,710165350,Vehicle Speed Sensor,1145194498,1253887578529928526,value,100.0 +12,710165350,Vehicle Speed Sensor,1145194498,-7121402083187471727,value,100.0 +12,710165350,Vehicle Speed Sensor,1145194498,8036435043832879245,value,99.0 +12,710165350,Vehicle Speed Sensor,1145194498,3010700152440050521,value,100.0 +12,710165350,Vehicle Speed Sensor,1145194498,5870840107651329064,value,99.0 +12,710165350,Vehicle Speed Sensor,1145194498,4957257371014300759,value,99.0 +12,710165350,Vehicle Speed Sensor,1145194498,1819255646518034011,value,98.0 +12,710165350,Vehicle Speed Sensor,1145194498,-1339175549560033334,value,98.0 +25,710165350,Engine RPM,1145194498,-3880027036277422470,value,1685.0 +25,710165350,Engine RPM,1145194498,-4698839268128708789,value,1670.0 +25,710165350,Engine RPM,1145194498,-8125370093172409815,value,1693.0 +25,710165350,Engine RPM,1145194498,-601405478213985095,value,1694.0 +25,710165350,Engine RPM,1145194498,-2658912890385584265,value,1687.0 +25,710165350,Engine RPM,1145194498,-1644307398932336740,value,1696.0 +25,710165350,Engine RPM,1145194498,4721779450750802709,value,1692.0 +25,710165350,Engine RPM,1145194498,1477032745236579489,value,1682.0 +25,710165350,Vehicle Speed Sensor,1145194498,-3880027036277422470,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,-4698839268128708789,value,99.0 +25,710165350,Vehicle Speed Sensor,1145194498,-8125370093172409815,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,-601405478213985095,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,-2658912890385584265,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,-1644307398932336740,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,4721779450750802709,value,100.0 +25,710165350,Vehicle Speed Sensor,1145194498,1477032745236579489,value,99.0 +9,710165350,Engine RPM,1145194498,6435457926419923976,value,1680.0 +9,710165350,Engine RPM,1145194498,-1038708188134077258,value,1627.0 +9,710165350,Engine RPM,1145194498,2634464166878325440,value,1692.0 +9,710165350,Engine RPM,1145194498,-4809160294307701132,value,1650.0 +9,710165350,Engine RPM,1145194498,5632715597129222006,value,1673.0 +9,710165350,Engine RPM,1145194498,-2595176363340704948,value,1690.0 +9,710165350,Engine RPM,1145194498,1707812890305063361,value,1695.0 +9,710165350,Engine RPM,1145194498,5749153414339819299,value,1675.0 +9,710165350,Engine RPM,1145194498,-746052454295745745,value,1700.0 +9,710165350,Engine RPM,1145194498,-2262443268380296095,value,1692.0 +9,710165350,Engine RPM,1145194498,398814083536876980,value,1688.0 +9,710165350,Engine RPM,1145194498,-1824615740223305776,value,1684.0 +9,710165350,Engine RPM,1145194498,-7547602166878865960,value,1675.0 +9,710165350,Engine RPM,1145194498,-6671879909473018075,value,1670.0 +9,710165350,Engine RPM,1145194498,4886800791534058879,value,1674.0 +9,710165350,Vehicle Speed Sensor,1145194498,6435457926419923976,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,-1038708188134077258,value,96.0 +9,710165350,Vehicle Speed Sensor,1145194498,2634464166878325440,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,-4809160294307701132,value,98.0 +9,710165350,Vehicle Speed Sensor,1145194498,5632715597129222006,value,99.0 +9,710165350,Vehicle Speed Sensor,1145194498,-2595176363340704948,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,1707812890305063361,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,5749153414339819299,value,99.0 +9,710165350,Vehicle Speed Sensor,1145194498,-746052454295745745,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,-2262443268380296095,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,398814083536876980,value,100.0 +9,710165350,Vehicle Speed Sensor,1145194498,-1824615740223305776,value,99.0 +9,710165350,Vehicle Speed Sensor,1145194498,-7547602166878865960,value,99.0 +9,710165350,Vehicle Speed Sensor,1145194498,-6671879909473018075,value,99.0 +9,710165350,Vehicle Speed Sensor,1145194498,4886800791534058879,value,99.0 +38,710165350,Engine RPM,1145194498,8943073582344702779,value,1688.0 +38,710165350,Engine RPM,1145194498,4530946578240499519,value,1695.0 +38,710165350,Engine RPM,1145194498,3786823858685550498,value,1687.0 +38,710165350,Engine RPM,1145194498,6972582872717603240,value,1692.0 +38,710165350,Engine RPM,1145194498,6668108369819618609,value,1698.0 +38,710165350,Engine RPM,1145194498,-3927405043421121676,value,1676.0 +38,710165350,Engine RPM,1145194498,6408346873201248019,value,1700.0 +38,710165350,Engine RPM,1145194498,6623261118492478423,value,1693.0 +38,710165350,Engine RPM,1145194498,-9034653993168563244,value,1696.0 +38,710165350,Engine RPM,1145194498,7531493447841416743,value,1695.0 +38,710165350,Vehicle Speed Sensor,1145194498,8943073582344702779,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,4530946578240499519,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,3786823858685550498,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,6972582872717603240,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,6668108369819618609,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,-3927405043421121676,value,99.0 +38,710165350,Vehicle Speed Sensor,1145194498,6408346873201248019,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,6623261118492478423,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,-9034653993168563244,value,100.0 +38,710165350,Vehicle Speed Sensor,1145194498,7531493447841416743,value,100.0 +14,710165350,Engine RPM,1145194498,3825540595371386309,value,1690.0 +14,710165350,Engine RPM,1145194498,-7266515258843945758,value,1618.0 +14,710165350,Engine RPM,1145194498,-7492768876328520922,value,1697.0 +14,710165350,Engine RPM,1145194498,-7805791236314571611,value,1657.0 +14,710165350,Engine RPM,1145194498,2874482677557367295,value,1672.0 +14,710165350,Engine RPM,1145194498,-3074137175159748742,value,1678.0 +14,710165350,Engine RPM,1145194498,-8129395220497443308,value,1691.0 +14,710165350,Engine RPM,1145194498,-2899001390574523780,value,1697.0 +14,710165350,Engine RPM,1145194498,8233237996825862955,value,1666.0 +14,710165350,Engine RPM,1145194498,-5281939521861774544,value,1647.0 +14,710165350,Engine RPM,1145194498,-6305616423890160670,value,1683.0 +14,710165350,Engine RPM,1145194498,-996237793305167924,value,1585.0 +14,710165350,Vehicle Speed Sensor,1145194498,3825540595371386309,value,98.0 +14,710165350,Vehicle Speed Sensor,1145194498,-7266515258843945758,value,96.0 +14,710165350,Vehicle Speed Sensor,1145194498,-7492768876328520922,value,100.0 +14,710165350,Vehicle Speed Sensor,1145194498,-7805791236314571611,value,98.0 +14,710165350,Vehicle Speed Sensor,1145194498,2874482677557367295,value,99.0 +14,710165350,Vehicle Speed Sensor,1145194498,-3074137175159748742,value,100.0 +14,710165350,Vehicle Speed Sensor,1145194498,-8129395220497443308,value,100.0 +14,710165350,Vehicle Speed Sensor,1145194498,-2899001390574523780,value,100.0 +14,710165350,Vehicle Speed Sensor,1145194498,8233237996825862955,value,99.0 +14,710165350,Vehicle Speed Sensor,1145194498,-5281939521861774544,value,97.0 +14,710165350,Vehicle Speed Sensor,1145194498,-6305616423890160670,value,99.0 +14,710165350,Vehicle Speed Sensor,1145194498,-996237793305167924,value,100.0 +29,710165350,Engine RPM,1145194498,-9062743506816999991,value,1662.0 +29,710165350,Engine RPM,1145194498,7388592127289616526,value,1614.0 +29,710165350,Engine RPM,1145194498,-7874410359954817700,value,2013.0 +29,710165350,Engine RPM,1145194498,-7898909115645858424,value,1688.0 +29,710165350,Engine RPM,1145194498,-9181705465701883529,value,1700.0 +29,710165350,Engine RPM,1145194498,-1498531726413858537,value,1669.0 +29,710165350,Engine RPM,1145194498,-4943178506607774292,value,1698.0 +29,710165350,Engine RPM,1145194498,-8936307499854618414,value,1694.0 +29,710165350,Engine RPM,1145194498,-8006013197684059135,value,1683.0 +29,710165350,Vehicle Speed Sensor,1145194498,-9062743506816999991,value,98.0 +29,710165350,Vehicle Speed Sensor,1145194498,7388592127289616526,value,95.0 +29,710165350,Vehicle Speed Sensor,1145194498,-7874410359954817700,value,100.0 +29,710165350,Vehicle Speed Sensor,1145194498,-7898909115645858424,value,100.0 +29,710165350,Vehicle Speed Sensor,1145194498,-9181705465701883529,value,100.0 +29,710165350,Vehicle Speed Sensor,1145194498,-1498531726413858537,value,99.0 +29,710165350,Vehicle Speed Sensor,1145194498,-4943178506607774292,value,100.0 +29,710165350,Vehicle Speed Sensor,1145194498,-8936307499854618414,value,100.0 +29,710165350,Vehicle Speed Sensor,1145194498,-8006013197684059135,value,100.0 +61,710165350,Engine RPM,1145194498,3254929062898774086,value,1673.0 +61,710165350,Engine RPM,1145194498,-8921238274899103873,value,1664.0 +61,710165350,Engine RPM,1145194498,1176228246352641735,value,1671.0 +61,710165350,Engine RPM,1145194498,8880521758111375647,value,1676.0 +61,710165350,Vehicle Speed Sensor,1145194498,3254929062898774086,value,100.0 +61,710165350,Vehicle Speed Sensor,1145194498,-8921238274899103873,value,98.0 +61,710165350,Vehicle Speed Sensor,1145194498,1176228246352641735,value,99.0 +61,710165350,Vehicle Speed Sensor,1145194498,8880521758111375647,value,99.0 +68,710165350,Engine RPM,1145194498,6011764010715994474,value,1675.0 +68,710165350,Vehicle Speed Sensor,1145194498,6011764010715994474,value,99.0 +51,710165350,Engine RPM,1145194498,2042796435955998059,value,1671.0 +51,710165350,Engine RPM,1145194498,5677446704053633913,value,1645.0 +51,710165350,Engine RPM,1145194498,6292909926080418934,value,1593.0 +51,710165350,Engine RPM,1145194498,-6767713605361986265,value,1697.0 +51,710165350,Engine RPM,1145194498,-1323796627040054392,value,1658.0 +51,710165350,Engine RPM,1145194498,-660929014211500180,value,1681.0 +51,710165350,Engine RPM,1145194498,-352344775418186632,value,1694.0 +51,710165350,Engine RPM,1145194498,-3060872831416565526,value,1610.0 +51,710165350,Engine RPM,1145194498,-1558575142702551562,value,1675.0 +51,710165350,Vehicle Speed Sensor,1145194498,2042796435955998059,value,99.0 +51,710165350,Vehicle Speed Sensor,1145194498,5677446704053633913,value,97.0 +51,710165350,Vehicle Speed Sensor,1145194498,6292909926080418934,value,93.0 +51,710165350,Vehicle Speed Sensor,1145194498,-6767713605361986265,value,100.0 +51,710165350,Vehicle Speed Sensor,1145194498,-1323796627040054392,value,98.0 +51,710165350,Vehicle Speed Sensor,1145194498,-660929014211500180,value,99.0 +51,710165350,Vehicle Speed Sensor,1145194498,-352344775418186632,value,100.0 +51,710165350,Vehicle Speed Sensor,1145194498,-3060872831416565526,value,95.0 +51,710165350,Vehicle Speed Sensor,1145194498,-1558575142702551562,value,99.0 +23,710165350,Engine RPM,1145194498,-4723771039480384061,value,1651.0 +23,710165350,Engine RPM,1145194498,3346049216165252675,value,1695.0 +23,710165350,Engine RPM,1145194498,-4984820427955652032,value,1683.0 +23,710165350,Engine RPM,1145194498,-1514067779367503127,value,1674.0 +23,710165350,Engine RPM,1145194498,939131548484603153,value,1646.0 +23,710165350,Engine RPM,1145194498,6604840857195803376,value,1647.0 +23,710165350,Engine RPM,1145194498,-1792819680774483002,value,1759.0 +23,710165350,Engine RPM,1145194498,1257763991016880166,value,1995.0 +23,710165350,Engine RPM,1145194498,7662639032697072258,value,1700.0 +23,710165350,Engine RPM,1145194498,-3416486637829783786,value,1664.0 +23,710165350,Engine RPM,1145194498,-480032234826008740,value,1656.0 +23,710165350,Engine RPM,1145194498,8107496870785596991,value,1617.0 +23,710165350,Engine RPM,1145194498,-6311225717281309033,value,1691.0 +23,710165350,Engine RPM,1145194498,2656545170301987065,value,1703.0 +23,710165350,Engine RPM,1145194498,-354030468151686553,value,1703.0 +23,710165350,Engine RPM,1145194498,2721656431917176759,value,1697.0 +23,710165350,Engine RPM,1145194498,5976307982575826401,value,1705.0 +23,710165350,Vehicle Speed Sensor,1145194498,-4723771039480384061,value,98.0 +23,710165350,Vehicle Speed Sensor,1145194498,3346049216165252675,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,-4984820427955652032,value,99.0 +23,710165350,Vehicle Speed Sensor,1145194498,-1514067779367503127,value,99.0 +23,710165350,Vehicle Speed Sensor,1145194498,939131548484603153,value,97.0 +23,710165350,Vehicle Speed Sensor,1145194498,6604840857195803376,value,97.0 +23,710165350,Vehicle Speed Sensor,1145194498,-1792819680774483002,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,1257763991016880166,value,99.0 +23,710165350,Vehicle Speed Sensor,1145194498,7662639032697072258,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,-3416486637829783786,value,98.0 +23,710165350,Vehicle Speed Sensor,1145194498,-480032234826008740,value,98.0 +23,710165350,Vehicle Speed Sensor,1145194498,8107496870785596991,value,95.0 +23,710165350,Vehicle Speed Sensor,1145194498,-6311225717281309033,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,2656545170301987065,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,-354030468151686553,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,2721656431917176759,value,100.0 +23,710165350,Vehicle Speed Sensor,1145194498,5976307982575826401,value,100.0 +36,710165350,Engine RPM,1145194498,4887163028320895468,value,1699.0 +36,710165350,Engine RPM,1145194498,-7599130339575001330,value,1675.0 +36,710165350,Engine RPM,1145194498,-3098445442787535116,value,1685.0 +36,710165350,Engine RPM,1145194498,2524418947240071435,value,1694.0 +36,710165350,Vehicle Speed Sensor,1145194498,4887163028320895468,value,100.0 +36,710165350,Vehicle Speed Sensor,1145194498,-7599130339575001330,value,99.0 +36,710165350,Vehicle Speed Sensor,1145194498,-3098445442787535116,value,100.0 +36,710165350,Vehicle Speed Sensor,1145194498,2524418947240071435,value,100.0 +60,710165350,Engine RPM,1145194498,-7590666856060309942,value,1705.0 +60,710165350,Engine RPM,1145194498,8416886212107825011,value,1693.0 +60,710165350,Engine RPM,1145194498,-9095652702950560297,value,1701.0 +60,710165350,Vehicle Speed Sensor,1145194498,-7590666856060309942,value,100.0 +60,710165350,Vehicle Speed Sensor,1145194498,8416886212107825011,value,100.0 +60,710165350,Vehicle Speed Sensor,1145194498,-9095652702950560297,value,100.0 +18,710165350,Engine RPM,1145194498,6804734008157376345,value,1680.0 +18,710165350,Engine RPM,1145194498,-2377824111384281519,value,1685.0 +18,710165350,Engine RPM,1145194498,6910949859944785281,value,1695.0 +18,710165350,Engine RPM,1145194498,-4603237037028426882,value,2028.0 +18,710165350,Engine RPM,1145194498,-6812160074856417066,value,1691.0 +18,710165350,Engine RPM,1145194498,-7193334987463722706,value,1695.0 +18,710165350,Engine RPM,1145194498,635202383220965793,value,1664.0 +18,710165350,Engine RPM,1145194498,9104796355555753097,value,1640.0 +18,710165350,Engine RPM,1145194498,-8392772182285642310,value,1683.0 +18,710165350,Engine RPM,1145194498,-704721045920090915,value,1684.0 +18,710165350,Engine RPM,1145194498,-8246642508078148726,value,1655.0 +18,710165350,Vehicle Speed Sensor,1145194498,6804734008157376345,value,99.0 +18,710165350,Vehicle Speed Sensor,1145194498,-2377824111384281519,value,100.0 +18,710165350,Vehicle Speed Sensor,1145194498,6910949859944785281,value,100.0 +18,710165350,Vehicle Speed Sensor,1145194498,-4603237037028426882,value,100.0 +18,710165350,Vehicle Speed Sensor,1145194498,-6812160074856417066,value,100.0 +18,710165350,Vehicle Speed Sensor,1145194498,-7193334987463722706,value,100.0 +18,710165350,Vehicle Speed Sensor,1145194498,635202383220965793,value,98.0 +18,710165350,Vehicle Speed Sensor,1145194498,9104796355555753097,value,97.0 +18,710165350,Vehicle Speed Sensor,1145194498,-8392772182285642310,value,99.0 +18,710165350,Vehicle Speed Sensor,1145194498,-704721045920090915,value,99.0 +18,710165350,Vehicle Speed Sensor,1145194498,-8246642508078148726,value,97.0 +32,710165350,Engine RPM,1145194498,7883758012003246013,value,1650.0 +32,710165350,Engine RPM,1145194498,8754456860939789178,value,1705.0 +32,710165350,Engine RPM,1145194498,2093286595237512128,value,1691.0 +32,710165350,Engine RPM,1145194498,5623810873203054088,value,1691.0 +32,710165350,Engine RPM,1145194498,-9199708530709866046,value,1431.0 +32,710165350,Engine RPM,1145194498,-6034282444577299314,value,1695.0 +32,710165350,Engine RPM,1145194498,3132920431143106203,value,1687.0 +32,710165350,Engine RPM,1145194498,-4245859883769162105,value,1692.0 +32,710165350,Engine RPM,1145194498,-1906301726854037859,value,2032.0 +32,710165350,Engine RPM,1145194498,-9186775855507282631,value,1682.0 +32,710165350,Engine RPM,1145194498,-6638172293140294338,value,1680.0 +32,710165350,Vehicle Speed Sensor,1145194498,7883758012003246013,value,98.0 +32,710165350,Vehicle Speed Sensor,1145194498,8754456860939789178,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,2093286595237512128,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,5623810873203054088,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,-9199708530709866046,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,-6034282444577299314,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,3132920431143106203,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,-4245859883769162105,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,-1906301726854037859,value,100.0 +32,710165350,Vehicle Speed Sensor,1145194498,-9186775855507282631,value,99.0 +32,710165350,Vehicle Speed Sensor,1145194498,-6638172293140294338,value,99.0 +42,710165350,Engine RPM,1145194498,-5504630046372941580,value,1695.0 +42,710165350,Engine RPM,1145194498,8447236198177885964,value,1684.0 +42,710165350,Engine RPM,1145194498,-7870440443435680934,value,1684.0 +42,710165350,Engine RPM,1145194498,5623526129523618769,value,1693.0 +42,710165350,Engine RPM,1145194498,-4361717910637187656,value,1700.0 +42,710165350,Engine RPM,1145194498,7659175227600429293,value,1635.0 +42,710165350,Engine RPM,1145194498,-9047978011824748617,value,1675.0 +42,710165350,Engine RPM,1145194498,9033023486141595646,value,2027.0 +42,710165350,Engine RPM,1145194498,3219163318523279960,value,1679.0 +42,710165350,Vehicle Speed Sensor,1145194498,-5504630046372941580,value,100.0 +42,710165350,Vehicle Speed Sensor,1145194498,8447236198177885964,value,100.0 +42,710165350,Vehicle Speed Sensor,1145194498,-7870440443435680934,value,99.0 +42,710165350,Vehicle Speed Sensor,1145194498,5623526129523618769,value,100.0 +42,710165350,Vehicle Speed Sensor,1145194498,-4361717910637187656,value,100.0 +42,710165350,Vehicle Speed Sensor,1145194498,7659175227600429293,value,97.0 +42,710165350,Vehicle Speed Sensor,1145194498,-9047978011824748617,value,99.0 +42,710165350,Vehicle Speed Sensor,1145194498,9033023486141595646,value,100.0 +42,710165350,Vehicle Speed Sensor,1145194498,3219163318523279960,value,99.0 +55,710165350,Engine RPM,1145194498,-7898654563721935335,value,1674.0 +55,710165350,Engine RPM,1145194498,2139906741881915030,value,1669.0 +55,710165350,Engine RPM,1145194498,-4998764322719780019,value,1670.0 +55,710165350,Engine RPM,1145194498,5492467768809196819,value,1704.0 +55,710165350,Engine RPM,1145194498,8692222700618755776,value,1694.0 +55,710165350,Engine RPM,1145194498,-4036658129357024714,value,1673.0 +55,710165350,Engine RPM,1145194498,6707335522816698323,value,1679.0 +55,710165350,Engine RPM,1145194498,342014288602321162,value,1667.0 +55,710165350,Vehicle Speed Sensor,1145194498,-7898654563721935335,value,99.0 +55,710165350,Vehicle Speed Sensor,1145194498,2139906741881915030,value,99.0 +55,710165350,Vehicle Speed Sensor,1145194498,-4998764322719780019,value,99.0 +55,710165350,Vehicle Speed Sensor,1145194498,5492467768809196819,value,100.0 +55,710165350,Vehicle Speed Sensor,1145194498,8692222700618755776,value,100.0 +55,710165350,Vehicle Speed Sensor,1145194498,-4036658129357024714,value,99.0 +55,710165350,Vehicle Speed Sensor,1145194498,6707335522816698323,value,99.0 +55,710165350,Vehicle Speed Sensor,1145194498,342014288602321162,value,99.0 +59,710165350,Engine RPM,1145194498,2722141839199269820,value,1695.0 +59,710165350,Engine RPM,1145194498,762486671093531670,value,2558.0 +59,710165350,Engine RPM,1145194498,1767020773151555359,value,1695.0 +59,710165350,Engine RPM,1145194498,4446006628029249918,value,1639.0 +59,710165350,Engine RPM,1145194498,4379116158827232229,value,1654.0 +59,710165350,Engine RPM,1145194498,-8550381697720331950,value,1659.0 +59,710165350,Engine RPM,1145194498,-5591275621432418799,value,1697.0 +59,710165350,Engine RPM,1145194498,-5401575862346809460,value,1506.0 +59,710165350,Engine RPM,1145194498,46464302657032636,value,2028.0 +59,710165350,Engine RPM,1145194498,-6864224397604730854,value,2026.0 +59,710165350,Engine RPM,1145194498,-6444035221530957000,value,1685.0 +59,710165350,Engine RPM,1145194498,7212875283775546322,value,1701.0 +59,710165350,Engine RPM,1145194498,-6274136841889337449,value,1709.0 +59,710165350,Engine RPM,1145194498,3541236779995073172,value,1673.0 +59,710165350,Engine RPM,1145194498,-2239058654721684811,value,1677.0 +59,710165350,Engine RPM,1145194498,8298310849278485687,value,1674.0 +59,710165350,Engine RPM,1145194498,356898797463015495,value,1386.0 +59,710165350,Engine RPM,1145194498,7311405914692131486,value,1610.0 +59,710165350,Engine RPM,1145194498,8600394415288024511,value,1656.0 +59,710165350,Engine RPM,1145194498,-8465459651248439185,value,1650.0 +59,710165350,Vehicle Speed Sensor,1145194498,2722141839199269820,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,762486671093531670,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,1767020773151555359,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,4446006628029249918,value,97.0 +59,710165350,Vehicle Speed Sensor,1145194498,4379116158827232229,value,98.0 +59,710165350,Vehicle Speed Sensor,1145194498,-8550381697720331950,value,97.0 +59,710165350,Vehicle Speed Sensor,1145194498,-5591275621432418799,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,-5401575862346809460,value,94.0 +59,710165350,Vehicle Speed Sensor,1145194498,46464302657032636,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,-6864224397604730854,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,-6444035221530957000,value,99.0 +59,710165350,Vehicle Speed Sensor,1145194498,7212875283775546322,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,-6274136841889337449,value,100.0 +59,710165350,Vehicle Speed Sensor,1145194498,3541236779995073172,value,99.0 +59,710165350,Vehicle Speed Sensor,1145194498,-2239058654721684811,value,99.0 +59,710165350,Vehicle Speed Sensor,1145194498,8298310849278485687,value,99.0 +59,710165350,Vehicle Speed Sensor,1145194498,356898797463015495,value,89.0 +59,710165350,Vehicle Speed Sensor,1145194498,7311405914692131486,value,95.0 +59,710165350,Vehicle Speed Sensor,1145194498,8600394415288024511,value,97.0 +59,710165350,Vehicle Speed Sensor,1145194498,-8465459651248439185,value,97.0 +26,710165350,Engine RPM,1145194498,1407364410152649889,value,1680.0 +26,710165350,Engine RPM,1145194498,-2969688906007224303,value,1684.0 +26,710165350,Engine RPM,1145194498,7198905114710946368,value,1688.0 +26,710165350,Engine RPM,1145194498,-4321145185456898124,value,1699.0 +26,710165350,Engine RPM,1145194498,-780059933192782446,value,1674.0 +26,710165350,Engine RPM,1145194498,5824673785523970129,value,1685.0 +26,710165350,Engine RPM,1145194498,-7102348662721403615,value,1664.0 +26,710165350,Engine RPM,1145194498,-7227375816495314064,value,1675.0 +26,710165350,Engine RPM,1145194498,6839786660089650691,value,1697.0 +26,710165350,Engine RPM,1145194498,6786368096804829057,value,1699.0 +26,710165350,Engine RPM,1145194498,2198029898614471786,value,1699.0 +26,710165350,Engine RPM,1145194498,1160703683477453739,value,1695.0 +26,710165350,Engine RPM,1145194498,8499487237168324339,value,1701.0 +26,710165350,Engine RPM,1145194498,-8548013564640190126,value,1686.0 +26,710165350,Engine RPM,1145194498,38667872277956660,value,1672.0 +26,710165350,Engine RPM,1145194498,3645195270442574614,value,1673.0 +26,710165350,Vehicle Speed Sensor,1145194498,1407364410152649889,value,99.0 +26,710165350,Vehicle Speed Sensor,1145194498,-2969688906007224303,value,99.0 +26,710165350,Vehicle Speed Sensor,1145194498,7198905114710946368,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,-4321145185456898124,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,-780059933192782446,value,99.0 +26,710165350,Vehicle Speed Sensor,1145194498,5824673785523970129,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,-7102348662721403615,value,98.0 +26,710165350,Vehicle Speed Sensor,1145194498,-7227375816495314064,value,99.0 +26,710165350,Vehicle Speed Sensor,1145194498,6839786660089650691,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,6786368096804829057,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,2198029898614471786,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,1160703683477453739,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,8499487237168324339,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,-8548013564640190126,value,100.0 +26,710165350,Vehicle Speed Sensor,1145194498,38667872277956660,value,99.0 +26,710165350,Vehicle Speed Sensor,1145194498,3645195270442574614,value,99.0 +47,710165350,Engine RPM,1145194498,-5572345051257602210,value,1687.0 +47,710165350,Engine RPM,1145194498,114664926494782382,value,1693.0 +47,710165350,Engine RPM,1145194498,-3428836670754377058,value,1685.0 +47,710165350,Engine RPM,1145194498,-4929711740897525861,value,1631.0 +47,710165350,Engine RPM,1145194498,-2651306014662468295,value,1689.0 +47,710165350,Engine RPM,1145194498,-8397626126600879314,value,1604.0 +47,710165350,Engine RPM,1145194498,-1823517973864147327,value,1683.0 +47,710165350,Engine RPM,1145194498,8468579444829140343,value,1688.0 +47,710165350,Vehicle Speed Sensor,1145194498,-5572345051257602210,value,100.0 +47,710165350,Vehicle Speed Sensor,1145194498,114664926494782382,value,100.0 +47,710165350,Vehicle Speed Sensor,1145194498,-3428836670754377058,value,99.0 +47,710165350,Vehicle Speed Sensor,1145194498,-4929711740897525861,value,96.0 +47,710165350,Vehicle Speed Sensor,1145194498,-2651306014662468295,value,100.0 +47,710165350,Vehicle Speed Sensor,1145194498,-8397626126600879314,value,93.0 +47,710165350,Vehicle Speed Sensor,1145194498,-1823517973864147327,value,99.0 +47,710165350,Vehicle Speed Sensor,1145194498,8468579444829140343,value,100.0 +62,710165350,Engine RPM,1145194498,-8209138456539290122,value,1692.0 +62,710165350,Vehicle Speed Sensor,1145194498,-8209138456539290122,value,100.0 +31,710165350,Engine RPM,1145194498,-1071252211283601101,value,1690.0 +31,710165350,Engine RPM,1145194498,5714663468613792077,value,1688.0 +31,710165350,Engine RPM,1145194498,7692594796237265235,value,1665.0 +31,710165350,Engine RPM,1145194498,-7416799080813325447,value,1694.0 +31,710165350,Engine RPM,1145194498,6036465971032284276,value,1697.0 +31,710165350,Engine RPM,1145194498,334073109827714789,value,1699.0 +31,710165350,Engine RPM,1145194498,-7901511698509280931,value,1685.0 +31,710165350,Engine RPM,1145194498,7450115747443730039,value,1664.0 +31,710165350,Engine RPM,1145194498,-156536153586272509,value,1685.0 +31,710165350,Engine RPM,1145194498,313853829629841743,value,1690.0 +31,710165350,Engine RPM,1145194498,-3210923893037890206,value,1661.0 +31,710165350,Vehicle Speed Sensor,1145194498,-1071252211283601101,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,5714663468613792077,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,7692594796237265235,value,98.0 +31,710165350,Vehicle Speed Sensor,1145194498,-7416799080813325447,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,6036465971032284276,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,334073109827714789,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,-7901511698509280931,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,7450115747443730039,value,99.0 +31,710165350,Vehicle Speed Sensor,1145194498,-156536153586272509,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,313853829629841743,value,100.0 +31,710165350,Vehicle Speed Sensor,1145194498,-3210923893037890206,value,98.0 +56,710165350,Engine RPM,1145194498,-5172615701461441507,value,1687.0 +56,710165350,Engine RPM,1145194498,7787031515930482158,value,1671.0 +56,710165350,Engine RPM,1145194498,240706841192684414,value,1696.0 +56,710165350,Engine RPM,1145194498,-5689725860886425324,value,1693.0 +56,710165350,Engine RPM,1145194498,-5227773383189599067,value,1683.0 +56,710165350,Vehicle Speed Sensor,1145194498,-5172615701461441507,value,100.0 +56,710165350,Vehicle Speed Sensor,1145194498,7787031515930482158,value,99.0 +56,710165350,Vehicle Speed Sensor,1145194498,240706841192684414,value,100.0 +56,710165350,Vehicle Speed Sensor,1145194498,-5689725860886425324,value,100.0 +56,710165350,Vehicle Speed Sensor,1145194498,-5227773383189599067,value,99.0 +73,710165350,Engine RPM,1145194498,8686762215265839666,value,1767.0 +73,710165350,Engine RPM,1145194498,2055208217623535821,value,1692.0 +73,710165350,Vehicle Speed Sensor,1145194498,8686762215265839666,value,100.0 +73,710165350,Vehicle Speed Sensor,1145194498,2055208217623535821,value,100.0 +6,710165350,Engine RPM,1145194498,-4816800938634811948,value,1698.0 +6,710165350,Engine RPM,1145194498,9170227366379860763,value,1680.0 +6,710165350,Engine RPM,1145194498,9062145255572385845,value,1678.0 +6,710165350,Engine RPM,1145194498,-651437715995677137,value,1679.0 +6,710165350,Engine RPM,1145194498,5593373478569511381,value,1672.0 +6,710165350,Engine RPM,1145194498,-491872568576599952,value,1691.0 +6,710165350,Engine RPM,1145194498,4376757259715022061,value,1684.0 +6,710165350,Engine RPM,1145194498,-4162396073646818132,value,1691.0 +6,710165350,Engine RPM,1145194498,1601063922376438111,value,1714.0 +6,710165350,Engine RPM,1145194498,1772142905916946610,value,1697.0 +6,710165350,Engine RPM,1145194498,7511905123054936199,value,1689.0 +6,710165350,Engine RPM,1145194498,-2371673000830096773,value,1687.0 +6,710165350,Vehicle Speed Sensor,1145194498,-4816800938634811948,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,9170227366379860763,value,99.0 +6,710165350,Vehicle Speed Sensor,1145194498,9062145255572385845,value,99.0 +6,710165350,Vehicle Speed Sensor,1145194498,-651437715995677137,value,99.0 +6,710165350,Vehicle Speed Sensor,1145194498,5593373478569511381,value,99.0 +6,710165350,Vehicle Speed Sensor,1145194498,-491872568576599952,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,4376757259715022061,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,-4162396073646818132,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,1601063922376438111,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,1772142905916946610,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,7511905123054936199,value,100.0 +6,710165350,Vehicle Speed Sensor,1145194498,-2371673000830096773,value,100.0 +78,710165350,Engine RPM,1145194498,4562992834770538585,value,1665.0 +78,710165350,Engine RPM,1145194498,-1583218057307277493,value,885.0 +78,710165350,Engine RPM,1145194498,564401563062423948,value,1686.0 +78,710165350,Vehicle Speed Sensor,1145194498,4562992834770538585,value,98.0 +78,710165350,Vehicle Speed Sensor,1145194498,-1583218057307277493,value,98.0 +78,710165350,Vehicle Speed Sensor,1145194498,564401563062423948,value,100.0 +19,710165350,Engine RPM,1145194498,-5160823645542071153,value,1651.0 +19,710165350,Engine RPM,1145194498,-6324165665279730254,value,1669.0 +19,710165350,Engine RPM,1145194498,5647778523199955375,value,1694.0 +19,710165350,Engine RPM,1145194498,571037451756153660,value,1693.0 +19,710165350,Engine RPM,1145194498,-5014209644653306,value,1693.0 +19,710165350,Engine RPM,1145194498,6614441481785605897,value,1681.0 +19,710165350,Engine RPM,1145194498,-2681677774640740747,value,1684.0 +19,710165350,Engine RPM,1145194498,-7895494786485587368,value,1664.0 +19,710165350,Engine RPM,1145194498,6571046337312755442,value,1692.0 +19,710165350,Engine RPM,1145194498,-6959506464455543361,value,1697.0 +19,710165350,Vehicle Speed Sensor,1145194498,-5160823645542071153,value,98.0 +19,710165350,Vehicle Speed Sensor,1145194498,-6324165665279730254,value,99.0 +19,710165350,Vehicle Speed Sensor,1145194498,5647778523199955375,value,100.0 +19,710165350,Vehicle Speed Sensor,1145194498,571037451756153660,value,100.0 +19,710165350,Vehicle Speed Sensor,1145194498,-5014209644653306,value,100.0 +19,710165350,Vehicle Speed Sensor,1145194498,6614441481785605897,value,99.0 +19,710165350,Vehicle Speed Sensor,1145194498,-2681677774640740747,value,99.0 +19,710165350,Vehicle Speed Sensor,1145194498,-7895494786485587368,value,98.0 +19,710165350,Vehicle Speed Sensor,1145194498,6571046337312755442,value,100.0 +19,710165350,Vehicle Speed Sensor,1145194498,-6959506464455543361,value,100.0 +48,710165350,Engine RPM,1145194498,-2018135174265430619,value,1698.0 +48,710165350,Engine RPM,1145194498,-8711224896583142695,value,1695.0 +48,710165350,Engine RPM,1145194498,9128242988298996417,value,1697.0 +48,710165350,Engine RPM,1145194498,6373926721755421856,value,1686.0 +48,710165350,Vehicle Speed Sensor,1145194498,-2018135174265430619,value,100.0 +48,710165350,Vehicle Speed Sensor,1145194498,-8711224896583142695,value,100.0 +48,710165350,Vehicle Speed Sensor,1145194498,9128242988298996417,value,100.0 +48,710165350,Vehicle Speed Sensor,1145194498,6373926721755421856,value,100.0 diff --git a/tests/e2e/expected/pipeline/calculated_channel_metrics.csv b/tests/e2e/expected/pipeline/calculated_channel_metrics.csv new file mode 100644 index 00000000..a8bef6f9 --- /dev/null +++ b/tests/e2e/expected/pipeline/calculated_channel_metrics.csv @@ -0,0 +1,82 @@ +container_id,channel_id,channel_name,value_type,duration,min,max,mean +48,730878555,delta,double,2593.265000104904,-80.0,81.0,58.18165517018039 +18,730878555,delta,double,4335.055000066757,-42.0,98.0,66.57515832937578 +77,730878555,delta,double,1233.3819999694824,-46.0,85.0,43.18864473207594 +19,730878555,delta,double,3789.2969999313354,-31.0,104.0,68.00891036264247 +15,730878555,delta,double,4031.986999988556,-78.0,83.0,62.75298407154717 +4,730878555,delta,double,5986.755000114441,-45.0,104.0,74.35585003864962 +16,730878555,delta,double,4374.618999958038,-29.0,111.0,78.81720373889874 +55,730878555,delta,double,3004.49799990654,-98.0,89.0,58.77737778925521 +79,730878555,delta,double,1127.119999885559,-93.0,81.0,43.63276495490839 +46,730878555,delta,double,2491.7430000305176,-37.0,93.0,69.01747371512724 +70,730878555,delta,double,1239.236999988556,-49.0,96.0,39.62138396857842 +8,730878555,delta,double,4819.085999965668,-49.0,119.0,83.6762435850934 +50,730878555,delta,double,2875.108999967575,0.0,90.0,71.76261525927987 +80,730878555,delta,double,1204.9849998950958,3.0,92.0,55.19604891156107 +32,730878555,delta,double,3080.598999977112,-29.0,111.0,74.77873263594935 +5,730878555,delta,double,5398.681999921799,-61.0,97.0,57.72503324509581 +6,730878555,delta,double,5081.025000095367,-79.0,90.0,57.60958862223774 +1,730878555,delta,double,8083.973999977112,-84.0,105.0,54.38670609104913 +45,730878555,delta,double,2761.46799993515,-49.0,85.0,63.139897328947775 +78,730878555,delta,double,862.3629999160767,-27.0,102.0,82.55756450728187 +40,730878555,delta,double,3131.84299993515,-86.0,90.0,56.186538719648766 +13,730878555,delta,double,4708.522000074387,-39.0,110.0,70.13647552055178 +11,730878555,delta,double,6304.121000051498,-83.0,85.0,53.104098570370674 +14,730878555,delta,double,4895.842000007629,-81.0,95.0,52.05236770368855 +29,730878555,delta,double,3401.3180000782013,-32.0,122.0,80.35696074505441 +65,730878555,delta,double,2216.9100000858307,-59.0,93.0,44.43660951009291 +37,730878555,delta,double,3100.582999944687,-30.0,102.0,67.71775985140249 +2,730878555,delta,double,6522.724999904633,-84.0,83.0,55.61469692430712 +30,730878555,delta,double,3214.0999999046326,-40.0,109.0,76.60604897728435 +42,730878555,delta,double,2709.4609999656677,-28.0,114.0,72.08728710061659 +3,730878555,delta,double,6491.930000066757,-84.0,90.0,50.726255216875344 +75,730878555,delta,double,1268.12700009346,-99.0,88.0,38.419860937568174 +71,730878555,delta,double,1184.8540000915527,-47.0,98.0,45.18571150871976 +12,730878555,delta,double,5138.710000038147,-41.0,94.0,76.1162494088006 +17,730878555,delta,double,3945.3499999046326,-79.0,89.0,55.623051448088084 +47,730878555,delta,double,2917.132999897003,-50.0,77.0,57.62666460747354 +23,730878555,delta,double,4696.368999958038,-56.0,92.0,61.4671270543404 +21,730878555,delta,double,3527.805000066757,-34.0,92.0,71.9083384708647 +57,730878555,delta,double,2048.8069999217987,-28.0,104.0,78.3858445392975 +10,730878555,delta,double,4837.854000091553,-54.0,116.0,64.63708639895556 +27,730878555,delta,double,3238.0629999637604,-83.0,75.0,55.84989143432825 +67,730878555,delta,double,1448.0329999923706,-85.0,84.0,36.95756242417988 +74,730878555,delta,double,1296.5739998817444,1.0,96.0,51.720991625651806 +22,730878555,delta,double,3521.632999897003,-52.0,76.0,56.848899075406564 +9,730878555,delta,double,4663.890000104904,-91.0,80.0,63.659875121041196 +33,730878555,delta,double,4302.207999944687,-57.0,85.0,57.498315519594136 +63,730878555,delta,double,1625.7799999713898,-56.0,82.0,44.68929437038385 +76,730878555,delta,double,1227.5350000858307,0.0,92.0,56.70200034424097 +69,730878555,delta,double,1243.1129999160767,-60.0,80.0,35.795985552708636 +64,730878555,delta,double,1545.9430000782013,-60.0,90.0,39.273938960424054 +7,730878555,delta,double,4971.943000078201,-97.0,67.0,49.74973143969461 +26,730878555,delta,double,3738.061000108719,-45.0,94.0,66.98407623926938 +20,730878555,delta,double,3700.523999929428,-94.0,87.0,55.05369212296504 +51,730878555,delta,double,3914.0039999485016,-95.0,85.0,53.93020855472176 +43,730878555,delta,double,2630.640000104904,-27.0,112.0,73.33453266353861 +44,730878555,delta,double,3321.704999923706,-83.0,68.0,49.58873891438823 +68,730878555,delta,double,1308.3269999027252,-90.0,72.0,48.42286828506629 +41,730878555,delta,double,2719.5569999217987,-24.0,114.0,77.86703716330767 +61,730878555,delta,double,2315.7400000095367,-46.0,88.0,67.72089871941768 +25,730878555,delta,double,3282.6349999904633,-73.0,88.0,55.38152855342926 +31,730878555,delta,double,3556.890000104904,-32.0,102.0,69.54889608246121 +34,730878555,delta,double,3547.53200006485,-66.0,109.0,60.594903725765334 +36,730878555,delta,double,2921.0889999866486,-32.0,111.0,73.97538110190916 +38,730878555,delta,double,2858.1579999923706,-36.0,103.0,66.86014419009464 +28,730878555,delta,double,3254.2829999923706,-41.0,98.0,69.2593732669332 +35,730878555,delta,double,2939.588000059128,-36.0,109.0,75.56578063737193 +39,730878555,delta,double,2791.648999929428,-60.0,80.0,56.452099455570306 +59,730878555,delta,double,3440.821000099182,-51.0,82.0,59.73496703612055 +24,730878555,delta,double,3292.1470000743866,-92.0,90.0,58.752306923135265 +72,730878555,delta,double,1156.648999929428,-45.0,97.0,43.39765738670279 +58,730878555,delta,double,1914.832999944687,-46.0,94.0,62.056616935814155 +53,730878555,delta,double,3152.9649999141693,-40.0,104.0,70.73283464651193 +49,730878555,delta,double,2373.802999973297,3.0,90.0,68.84280035051741 +60,730878555,delta,double,1853.6219999790192,23.0,100.0,77.25845452856439 +73,730878555,delta,double,980.5539999008179,-10.0,84.0,50.49832849015844 +66,730878555,delta,double,1490.2360000610352,-10.0,68.0,47.309684508907836 +52,730878555,delta,double,2443.24799990654,-66.0,83.0,55.345508514984225 +56,730878555,delta,double,2314.15700006485,-50.0,91.0,62.383481757329875 +54,730878555,delta,double,2352.483999967575,-53.0,87.0,57.28775540218873 +81,730878555,delta,double,731.2820000648499,-8.0,60.0,32.36176058034601 +62,730878555,delta,double,1835.1440000534058,-45.0,105.0,67.6116402972288 diff --git a/tests/e2e/expected/pipeline/stats_aggregator_fact.csv b/tests/e2e/expected/pipeline/stats_aggregator_fact.csv index 0b084eac..5ca9d3b7 100644 --- a/tests/e2e/expected/pipeline/stats_aggregator_fact.csv +++ b/tests/e2e/expected/pipeline/stats_aggregator_fact.csv @@ -8,6 +8,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 58,717751035,Engine Coolant Temperature,1201859611,1432421368744511818,min,11.0 58,717751035,Engine Coolant Temperature,1201859611,1432421368744511818,mean,71.07954740660016 58,717751035,Engine Coolant Temperature,1201859611,1432421368744511818,max,95.0 +58,1869945724,coolant_minus_intake,1201859611,1432421368744511818,min,-46.0 +58,1869945724,coolant_minus_intake,1201859611,1432421368744511818,mean,62.056616935814155 +58,1869945724,coolant_minus_intake,1201859611,1432421368744511818,max,94.0 +58,850045614,coolant_minus_intake,,4109269343209384621,min,-46.0 +58,850045614,coolant_minus_intake,,4109269343209384621,mean,62.056616935814155 +58,850045614,coolant_minus_intake,,4109269343209384621,max,94.0 21,717751035,Engine RPM,1201859611,2586283319979737404,min,0.0 21,717751035,Engine RPM,1201859611,2586283319979737404,mean,1484.8370648465818 21,717751035,Engine RPM,1201859611,2586283319979737404,max,4315.0 @@ -26,6 +32,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 71,717751035,Engine Coolant Temperature,1201859611,5850834331784891980,min,24.0 71,717751035,Engine Coolant Temperature,1201859611,5850834331784891980,mean,73.05202750877619 71,717751035,Engine Coolant Temperature,1201859611,5850834331784891980,max,95.0 +21,1869945724,coolant_minus_intake,1201859611,2586283319979737404,min,-34.0 +21,1869945724,coolant_minus_intake,1201859611,2586283319979737404,mean,71.9083384708647 +21,1869945724,coolant_minus_intake,1201859611,2586283319979737404,max,92.0 +71,1869945724,coolant_minus_intake,1201859611,5850834331784891980,min,-47.0 +71,1869945724,coolant_minus_intake,1201859611,5850834331784891980,mean,45.18571150871976 +71,1869945724,coolant_minus_intake,1201859611,5850834331784891980,max,98.0 +21,850045614,coolant_minus_intake,,-2638692075557313711,min,-34.0 +21,850045614,coolant_minus_intake,,-2638692075557313711,mean,71.9083384708647 +21,850045614,coolant_minus_intake,,-2638692075557313711,max,92.0 +71,850045614,coolant_minus_intake,,-2488734564966004736,min,-47.0 +71,850045614,coolant_minus_intake,,-2488734564966004736,mean,45.18571150871976 +71,850045614,coolant_minus_intake,,-2488734564966004736,max,98.0 2,717751035,Engine RPM,1201859611,7921822167645060769,min,0.0 2,717751035,Engine RPM,1201859611,7921822167645060769,mean,1429.4126314544558 2,717751035,Engine RPM,1201859611,7921822167645060769,max,3255.0 @@ -44,6 +62,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 75,717751035,Engine Coolant Temperature,1201859611,5110935768283636594,min,30.0 75,717751035,Engine Coolant Temperature,1201859611,5110935768283636594,mean,72.06438472081811 75,717751035,Engine Coolant Temperature,1201859611,5110935768283636594,max,94.0 +2,1869945724,coolant_minus_intake,1201859611,7921822167645060769,min,-84.0 +2,1869945724,coolant_minus_intake,1201859611,7921822167645060769,mean,55.61469692430712 +2,1869945724,coolant_minus_intake,1201859611,7921822167645060769,max,83.0 +75,1869945724,coolant_minus_intake,1201859611,5110935768283636594,min,-99.0 +75,1869945724,coolant_minus_intake,1201859611,5110935768283636594,mean,38.419860937568174 +75,1869945724,coolant_minus_intake,1201859611,5110935768283636594,max,88.0 +2,850045614,coolant_minus_intake,,-5192819689784797544,min,-84.0 +2,850045614,coolant_minus_intake,,-5192819689784797544,mean,55.61469692430712 +2,850045614,coolant_minus_intake,,-5192819689784797544,max,83.0 +75,850045614,coolant_minus_intake,,8866775581507187353,min,-99.0 +75,850045614,coolant_minus_intake,,8866775581507187353,mean,38.419860937568174 +75,850045614,coolant_minus_intake,,8866775581507187353,max,88.0 13,717751035,Engine RPM,1201859611,-1944483825207215539,min,0.0 13,717751035,Engine RPM,1201859611,-1944483825207215539,mean,1658.5566166308397 13,717751035,Engine RPM,1201859611,-1944483825207215539,max,3008.0 @@ -62,6 +92,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 65,717751035,Engine Coolant Temperature,1201859611,7663622432945194351,min,24.0 65,717751035,Engine Coolant Temperature,1201859611,7663622432945194351,mean,76.27437469320247 65,717751035,Engine Coolant Temperature,1201859611,7663622432945194351,max,94.0 +13,1869945724,coolant_minus_intake,1201859611,-1944483825207215539,min,-39.0 +13,1869945724,coolant_minus_intake,1201859611,-1944483825207215539,mean,70.13647552055178 +13,1869945724,coolant_minus_intake,1201859611,-1944483825207215539,max,110.0 +65,1869945724,coolant_minus_intake,1201859611,7663622432945194351,min,-59.0 +65,1869945724,coolant_minus_intake,1201859611,7663622432945194351,mean,44.43660951009291 +65,1869945724,coolant_minus_intake,1201859611,7663622432945194351,max,93.0 +13,850045614,coolant_minus_intake,,2206547273819657144,min,-39.0 +13,850045614,coolant_minus_intake,,2206547273819657144,mean,70.13647552055178 +13,850045614,coolant_minus_intake,,2206547273819657144,max,110.0 +65,850045614,coolant_minus_intake,,6551751698478871157,min,-59.0 +65,850045614,coolant_minus_intake,,6551751698478871157,mean,44.43660951009291 +65,850045614,coolant_minus_intake,,6551751698478871157,max,93.0 5,717751035,Engine RPM,1201859611,3570466563200151918,min,0.0 5,717751035,Engine RPM,1201859611,3570466563200151918,mean,1490.0271707300046 5,717751035,Engine RPM,1201859611,3570466563200151918,max,3658.0 @@ -80,6 +122,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 45,717751035,Engine Coolant Temperature,1201859611,4031524100617037594,min,89.0 45,717751035,Engine Coolant Temperature,1201859611,4031524100617037594,mean,90.36543751369818 45,717751035,Engine Coolant Temperature,1201859611,4031524100617037594,max,93.0 +5,1869945724,coolant_minus_intake,1201859611,3570466563200151918,min,-61.0 +5,1869945724,coolant_minus_intake,1201859611,3570466563200151918,mean,57.72503324509581 +5,1869945724,coolant_minus_intake,1201859611,3570466563200151918,max,97.0 +45,1869945724,coolant_minus_intake,1201859611,4031524100617037594,min,-49.0 +45,1869945724,coolant_minus_intake,1201859611,4031524100617037594,mean,63.139897328947775 +45,1869945724,coolant_minus_intake,1201859611,4031524100617037594,max,85.0 +5,850045614,coolant_minus_intake,,5860091217075678003,min,-61.0 +5,850045614,coolant_minus_intake,,5860091217075678003,mean,57.72503324509581 +5,850045614,coolant_minus_intake,,5860091217075678003,max,97.0 +45,850045614,coolant_minus_intake,,-3007297741624992763,min,-49.0 +45,850045614,coolant_minus_intake,,-3007297741624992763,mean,63.139897328947775 +45,850045614,coolant_minus_intake,,-3007297741624992763,max,85.0 7,717751035,Engine RPM,1201859611,-7434725489921472031,min,0.0 7,717751035,Engine RPM,1201859611,-7434725489921472031,mean,1589.8300959432972 7,717751035,Engine RPM,1201859611,-7434725489921472031,max,3072.0 @@ -89,6 +143,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 7,717751035,Engine Coolant Temperature,1201859611,-7434725489921472031,min,30.0 7,717751035,Engine Coolant Temperature,1201859611,-7434725489921472031,mean,86.37177015141859 7,717751035,Engine Coolant Temperature,1201859611,-7434725489921472031,max,96.0 +7,1869945724,coolant_minus_intake,1201859611,-7434725489921472031,min,-97.0 +7,1869945724,coolant_minus_intake,1201859611,-7434725489921472031,mean,49.74973143969461 +7,1869945724,coolant_minus_intake,1201859611,-7434725489921472031,max,67.0 +7,850045614,coolant_minus_intake,,5518446686021750602,min,-97.0 +7,850045614,coolant_minus_intake,,5518446686021750602,mean,49.74973143969461 +7,850045614,coolant_minus_intake,,5518446686021750602,max,67.0 41,717751035,Engine RPM,1201859611,8437372657831499562,min,0.0 41,717751035,Engine RPM,1201859611,8437372657831499562,mean,1577.3415777230712 41,717751035,Engine RPM,1201859611,8437372657831499562,max,2764.0 @@ -98,6 +158,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 41,717751035,Engine Coolant Temperature,1201859611,8437372657831499562,min,7.0 41,717751035,Engine Coolant Temperature,1201859611,8437372657831499562,mean,75.77401392884805 41,717751035,Engine Coolant Temperature,1201859611,8437372657831499562,max,95.0 +41,1869945724,coolant_minus_intake,1201859611,8437372657831499562,min,-24.0 +41,1869945724,coolant_minus_intake,1201859611,8437372657831499562,mean,77.86703716330767 +41,1869945724,coolant_minus_intake,1201859611,8437372657831499562,max,114.0 +41,850045614,coolant_minus_intake,,1360946519369639067,min,-24.0 +41,850045614,coolant_minus_intake,,1360946519369639067,mean,77.86703716330767 +41,850045614,coolant_minus_intake,,1360946519369639067,max,114.0 72,717751035,Engine RPM,1201859611,-4361505612007328068,min,0.0 72,717751035,Engine RPM,1201859611,-4361505612007328068,mean,1238.9722056881737 72,717751035,Engine RPM,1201859611,-4361505612007328068,max,2747.0 @@ -107,6 +173,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 72,717751035,Engine Coolant Temperature,1201859611,-4361505612007328068,min,22.0 72,717751035,Engine Coolant Temperature,1201859611,-4361505612007328068,mean,71.84693887162719 72,717751035,Engine Coolant Temperature,1201859611,-4361505612007328068,max,94.0 +72,1869945724,coolant_minus_intake,1201859611,-4361505612007328068,min,-45.0 +72,1869945724,coolant_minus_intake,1201859611,-4361505612007328068,mean,43.39765738670279 +72,1869945724,coolant_minus_intake,1201859611,-4361505612007328068,max,97.0 +72,850045614,coolant_minus_intake,,-6813228326735077622,min,-45.0 +72,850045614,coolant_minus_intake,,-6813228326735077622,mean,43.39765738670279 +72,850045614,coolant_minus_intake,,-6813228326735077622,max,97.0 63,717751035,Engine RPM,1201859611,-1533397159073443657,min,0.0 63,717751035,Engine RPM,1201859611,-1533397159073443657,mean,1174.1847038505005 63,717751035,Engine RPM,1201859611,-1533397159073443657,max,2580.0 @@ -125,6 +197,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,min,28.0 64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,mean,75.65755205787605 64,717751035,Engine Coolant Temperature,1201859611,1978039981849347272,max,94.0 +63,1869945724,coolant_minus_intake,1201859611,-1533397159073443657,min,-56.0 +63,1869945724,coolant_minus_intake,1201859611,-1533397159073443657,mean,44.68929437038385 +63,1869945724,coolant_minus_intake,1201859611,-1533397159073443657,max,82.0 +64,1869945724,coolant_minus_intake,1201859611,1978039981849347272,min,-60.0 +64,1869945724,coolant_minus_intake,1201859611,1978039981849347272,mean,39.273938960424054 +64,1869945724,coolant_minus_intake,1201859611,1978039981849347272,max,90.0 +63,850045614,coolant_minus_intake,,-8575616148110856571,min,-56.0 +63,850045614,coolant_minus_intake,,-8575616148110856571,mean,44.68929437038385 +63,850045614,coolant_minus_intake,,-8575616148110856571,max,82.0 +64,850045614,coolant_minus_intake,,2176861300509004612,min,-60.0 +64,850045614,coolant_minus_intake,,2176861300509004612,mean,39.273938960424054 +64,850045614,coolant_minus_intake,,2176861300509004612,max,90.0 66,717751035,Engine RPM,1201859611,6831185462073925864,min,0.0 66,717751035,Engine RPM,1201859611,6831185462073925864,mean,1308.5081461022414 66,717751035,Engine RPM,1201859611,6831185462073925864,max,2577.0 @@ -134,6 +218,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,min,-1.0 66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,mean,45.20334698718101 66,717751035,Engine Coolant Temperature,1201859611,6831185462073925864,max,64.0 +66,1869945724,coolant_minus_intake,1201859611,6831185462073925864,min,-10.0 +66,1869945724,coolant_minus_intake,1201859611,6831185462073925864,mean,47.309684508907836 +66,1869945724,coolant_minus_intake,1201859611,6831185462073925864,max,65.0 +66,850045614,coolant_minus_intake,,-3146405329177365261,min,-10.0 +66,850045614,coolant_minus_intake,,-3146405329177365261,mean,47.309684508907836 +66,850045614,coolant_minus_intake,,-3146405329177365261,max,65.0 1,717751035,Engine RPM,1201859611,-928762887014768240,min,0.0 1,717751035,Engine RPM,1201859611,-928762887014768240,mean,1303.5914744669135 1,717751035,Engine RPM,1201859611,-928762887014768240,max,3430.0 @@ -161,6 +251,24 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,min,30.0 77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,mean,71.57300171401606 77,717751035,Engine Coolant Temperature,1201859611,8292766365109962602,max,95.0 +1,1869945724,coolant_minus_intake,1201859611,-928762887014768240,min,-84.0 +1,1869945724,coolant_minus_intake,1201859611,-928762887014768240,mean,54.38670609104913 +1,1869945724,coolant_minus_intake,1201859611,-928762887014768240,max,105.0 +15,1869945724,coolant_minus_intake,1201859611,8620646447947530699,min,-78.0 +15,1869945724,coolant_minus_intake,1201859611,8620646447947530699,mean,62.75298407154717 +15,1869945724,coolant_minus_intake,1201859611,8620646447947530699,max,83.0 +77,1869945724,coolant_minus_intake,1201859611,8292766365109962602,min,-46.0 +77,1869945724,coolant_minus_intake,1201859611,8292766365109962602,mean,43.18864473207594 +77,1869945724,coolant_minus_intake,1201859611,8292766365109962602,max,85.0 +1,850045614,coolant_minus_intake,,-3556061829031087185,min,-84.0 +1,850045614,coolant_minus_intake,,-3556061829031087185,mean,54.38670609104913 +1,850045614,coolant_minus_intake,,-3556061829031087185,max,105.0 +15,850045614,coolant_minus_intake,,-2542544229424983560,min,-78.0 +15,850045614,coolant_minus_intake,,-2542544229424983560,mean,62.75298407154717 +15,850045614,coolant_minus_intake,,-2542544229424983560,max,83.0 +77,850045614,coolant_minus_intake,,7943994407678340298,min,-46.0 +77,850045614,coolant_minus_intake,,7943994407678340298,mean,43.18864473207594 +77,850045614,coolant_minus_intake,,7943994407678340298,max,85.0 3,717751035,Engine RPM,1201859611,3286614479096879038,min,0.0 3,717751035,Engine RPM,1201859611,3286614479096879038,mean,1433.0548539779463 3,717751035,Engine RPM,1201859611,3286614479096879038,max,3111.0 @@ -179,6 +287,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,min,15.0 37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,mean,78.69357601451388 37,717751035,Engine Coolant Temperature,1201859611,-3015666225396535697,max,94.0 +3,1869945724,coolant_minus_intake,1201859611,3286614479096879038,min,-84.0 +3,1869945724,coolant_minus_intake,1201859611,3286614479096879038,mean,50.726255216875344 +3,1869945724,coolant_minus_intake,1201859611,3286614479096879038,max,90.0 +37,1869945724,coolant_minus_intake,1201859611,-3015666225396535697,min,-30.0 +37,1869945724,coolant_minus_intake,1201859611,-3015666225396535697,mean,67.71775985140249 +37,1869945724,coolant_minus_intake,1201859611,-3015666225396535697,max,102.0 +3,850045614,coolant_minus_intake,,-3604270365912420369,min,-84.0 +3,850045614,coolant_minus_intake,,-3604270365912420369,mean,50.726255216875344 +3,850045614,coolant_minus_intake,,-3604270365912420369,max,90.0 +37,850045614,coolant_minus_intake,,-5008264170013245640,min,-30.0 +37,850045614,coolant_minus_intake,,-5008264170013245640,mean,67.71775985140249 +37,850045614,coolant_minus_intake,,-5008264170013245640,max,102.0 27,717751035,Engine RPM,1201859611,-3534261932286880816,min,0.0 27,717751035,Engine RPM,1201859611,-3534261932286880816,mean,1441.383705808705 27,717751035,Engine RPM,1201859611,-3534261932286880816,max,2501.0 @@ -197,6 +317,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,min,73.0 57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,mean,88.21237041835799 57,717751035,Engine Coolant Temperature,1201859611,8939056937015267775,max,92.0 +27,1869945724,coolant_minus_intake,1201859611,-3534261932286880816,min,-83.0 +27,1869945724,coolant_minus_intake,1201859611,-3534261932286880816,mean,55.84989143432825 +27,1869945724,coolant_minus_intake,1201859611,-3534261932286880816,max,75.0 +57,1869945724,coolant_minus_intake,1201859611,8939056937015267775,min,-28.0 +57,1869945724,coolant_minus_intake,1201859611,8939056937015267775,mean,78.3858445392975 +57,1869945724,coolant_minus_intake,1201859611,8939056937015267775,max,104.0 +27,850045614,coolant_minus_intake,,-5113322144907458297,min,-83.0 +27,850045614,coolant_minus_intake,,-5113322144907458297,mean,55.84989143432825 +27,850045614,coolant_minus_intake,,-5113322144907458297,max,75.0 +57,850045614,coolant_minus_intake,,-1156729757268108484,min,-28.0 +57,850045614,coolant_minus_intake,,-1156729757268108484,mean,78.3858445392975 +57,850045614,coolant_minus_intake,,-1156729757268108484,max,104.0 24,717751035,Engine RPM,1201859611,7437298780708400991,min,0.0 24,717751035,Engine RPM,1201859611,7437298780708400991,mean,1468.2751083580695 24,717751035,Engine RPM,1201859611,7437298780708400991,max,2606.0 @@ -206,6 +338,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,min,29.0 24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,mean,84.9809574121226 24,717751035,Engine Coolant Temperature,1201859611,7437298780708400991,max,94.0 +24,1869945724,coolant_minus_intake,1201859611,7437298780708400991,min,-92.0 +24,1869945724,coolant_minus_intake,1201859611,7437298780708400991,mean,58.752306923135265 +24,1869945724,coolant_minus_intake,1201859611,7437298780708400991,max,90.0 +24,850045614,coolant_minus_intake,,4383905710047689196,min,-92.0 +24,850045614,coolant_minus_intake,,4383905710047689196,mean,58.752306923135265 +24,850045614,coolant_minus_intake,,4383905710047689196,max,90.0 52,717751035,Engine RPM,1201859611,1261300119102051947,min,0.0 52,717751035,Engine RPM,1201859611,1261300119102051947,mean,1549.1329341290623 52,717751035,Engine RPM,1201859611,1261300119102051947,max,2645.0 @@ -215,6 +353,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,min,64.0 52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,mean,89.34526785668847 52,717751035,Engine Coolant Temperature,1201859611,1261300119102051947,max,93.0 +52,1869945724,coolant_minus_intake,1201859611,1261300119102051947,min,-66.0 +52,1869945724,coolant_minus_intake,1201859611,1261300119102051947,mean,55.345508514984225 +52,1869945724,coolant_minus_intake,1201859611,1261300119102051947,max,83.0 +52,850045614,coolant_minus_intake,,7942454085910490425,min,-66.0 +52,850045614,coolant_minus_intake,,7942454085910490425,mean,55.345508514984225 +52,850045614,coolant_minus_intake,,7942454085910490425,max,83.0 28,717751035,Engine RPM,1201859611,1040427654212385429,min,0.0 28,717751035,Engine RPM,1201859611,1040427654212385429,mean,1501.7751038300937 28,717751035,Engine RPM,1201859611,1040427654212385429,max,2592.0 @@ -224,6 +368,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,min,16.0 28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,mean,80.06253481965744 28,717751035,Engine Coolant Temperature,1201859611,1040427654212385429,max,94.0 +28,1869945724,coolant_minus_intake,1201859611,1040427654212385429,min,-41.0 +28,1869945724,coolant_minus_intake,1201859611,1040427654212385429,mean,69.2593732669332 +28,1869945724,coolant_minus_intake,1201859611,1040427654212385429,max,98.0 +28,850045614,coolant_minus_intake,,-7410508565806868587,min,-41.0 +28,850045614,coolant_minus_intake,,-7410508565806868587,mean,69.2593732669332 +28,850045614,coolant_minus_intake,,-7410508565806868587,max,98.0 54,717751035,Engine RPM,1201859611,3329842588530743954,min,0.0 54,717751035,Engine RPM,1201859611,3329842588530743954,mean,1568.8600029955448 54,717751035,Engine RPM,1201859611,3329842588530743954,max,2892.0 @@ -233,6 +383,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,min,67.0 54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,mean,89.93861637324316 54,717751035,Engine Coolant Temperature,1201859611,3329842588530743954,max,94.0 +54,1869945724,coolant_minus_intake,1201859611,3329842588530743954,min,-53.0 +54,1869945724,coolant_minus_intake,1201859611,3329842588530743954,mean,57.28775540218873 +54,1869945724,coolant_minus_intake,1201859611,3329842588530743954,max,87.0 +54,850045614,coolant_minus_intake,,5786616028673022166,min,-53.0 +54,850045614,coolant_minus_intake,,5786616028673022166,mean,57.28775540218873 +54,850045614,coolant_minus_intake,,5786616028673022166,max,87.0 39,717751035,Engine RPM,1201859611,1077981989772730875,min,0.0 39,717751035,Engine RPM,1201859611,1077981989772730875,mean,1546.1728841483266 39,717751035,Engine RPM,1201859611,1077981989772730875,max,3788.0 @@ -242,6 +398,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,min,55.0 39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,mean,88.40805702965778 39,717751035,Engine Coolant Temperature,1201859611,1077981989772730875,max,97.0 +39,1869945724,coolant_minus_intake,1201859611,1077981989772730875,min,-60.0 +39,1869945724,coolant_minus_intake,1201859611,1077981989772730875,mean,56.452099455570306 +39,1869945724,coolant_minus_intake,1201859611,1077981989772730875,max,80.0 +39,850045614,coolant_minus_intake,,-3808042900721347376,min,-60.0 +39,850045614,coolant_minus_intake,,-3808042900721347376,mean,56.452099455570306 +39,850045614,coolant_minus_intake,,-3808042900721347376,max,80.0 35,717751035,Engine RPM,1201859611,-5091309530965523951,min,0.0 35,717751035,Engine RPM,1201859611,-5091309530965523951,mean,1562.233448947786 35,717751035,Engine RPM,1201859611,-5091309530965523951,max,2759.0 @@ -251,6 +413,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,min,9.0 35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,mean,77.26282186460426 35,717751035,Engine Coolant Temperature,1201859611,-5091309530965523951,max,95.0 +35,1869945724,coolant_minus_intake,1201859611,-5091309530965523951,min,-36.0 +35,1869945724,coolant_minus_intake,1201859611,-5091309530965523951,mean,75.56578063737193 +35,1869945724,coolant_minus_intake,1201859611,-5091309530965523951,max,109.0 +35,850045614,coolant_minus_intake,,-7846061121603890387,min,-36.0 +35,850045614,coolant_minus_intake,,-7846061121603890387,mean,75.56578063737193 +35,850045614,coolant_minus_intake,,-7846061121603890387,max,109.0 43,717751035,Engine RPM,1201859611,-5059295208201598568,min,0.0 43,717751035,Engine RPM,1201859611,-5059295208201598568,mean,1613.6854438659657 43,717751035,Engine RPM,1201859611,-5059295208201598568,max,2792.0 @@ -260,6 +428,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,min,12.0 43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,mean,75.05364093931695 43,717751035,Engine Coolant Temperature,1201859611,-5059295208201598568,max,94.0 +43,1869945724,coolant_minus_intake,1201859611,-5059295208201598568,min,-27.0 +43,1869945724,coolant_minus_intake,1201859611,-5059295208201598568,mean,73.33453266353861 +43,1869945724,coolant_minus_intake,1201859611,-5059295208201598568,max,112.0 +43,850045614,coolant_minus_intake,,1406687261983691345,min,-27.0 +43,850045614,coolant_minus_intake,,1406687261983691345,mean,73.33453266353861 +43,850045614,coolant_minus_intake,,1406687261983691345,max,112.0 49,717751035,Engine RPM,1201859611,-8089365359392949673,min,262.0 49,717751035,Engine RPM,1201859611,-8089365359392949673,mean,1587.8939076350948 49,717751035,Engine RPM,1201859611,-8089365359392949673,max,3136.0 @@ -269,6 +443,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,min,17.0 49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,mean,79.10704510846838 49,717751035,Engine Coolant Temperature,1201859611,-8089365359392949673,max,94.0 +49,1869945724,coolant_minus_intake,1201859611,-8089365359392949673,min,3.0 +49,1869945724,coolant_minus_intake,1201859611,-8089365359392949673,mean,68.84280035051741 +49,1869945724,coolant_minus_intake,1201859611,-8089365359392949673,max,90.0 +49,850045614,coolant_minus_intake,,-4915551420560549254,min,3.0 +49,850045614,coolant_minus_intake,,-4915551420560549254,mean,68.84280035051741 +49,850045614,coolant_minus_intake,,-4915551420560549254,max,90.0 22,717751035,Engine RPM,1201859611,1702604805711203895,min,0.0 22,717751035,Engine RPM,1201859611,1702604805711203895,mean,1585.0838331225893 22,717751035,Engine RPM,1201859611,1702604805711203895,max,3563.0 @@ -287,6 +467,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,min,11.0 76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,mean,57.179514231581074 76,717751035,Engine Coolant Temperature,1201859611,1604686477683752455,max,84.0 +22,1869945724,coolant_minus_intake,1201859611,1702604805711203895,min,-52.0 +22,1869945724,coolant_minus_intake,1201859611,1702604805711203895,mean,56.848899075406564 +22,1869945724,coolant_minus_intake,1201859611,1702604805711203895,max,76.0 +76,1869945724,coolant_minus_intake,1201859611,1604686477683752455,min,0.0 +76,1869945724,coolant_minus_intake,1201859611,1604686477683752455,mean,56.70200034424097 +76,1869945724,coolant_minus_intake,1201859611,1604686477683752455,max,92.0 +22,850045614,coolant_minus_intake,,5994377449998351463,min,-52.0 +22,850045614,coolant_minus_intake,,5994377449998351463,mean,56.848899075406564 +22,850045614,coolant_minus_intake,,5994377449998351463,max,76.0 +76,850045614,coolant_minus_intake,,-7790585892262630318,min,0.0 +76,850045614,coolant_minus_intake,,-7790585892262630318,mean,56.70200034424097 +76,850045614,coolant_minus_intake,,-7790585892262630318,max,92.0 16,717751035,Engine RPM,1201859611,-5204063793680029428,min,0.0 16,717751035,Engine RPM,1201859611,-5204063793680029428,mean,1755.3705995771268 16,717751035,Engine RPM,1201859611,-5204063793680029428,max,3177.0 @@ -305,6 +497,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,min,25.0 70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,mean,72.17541600192013 70,717751035,Engine Coolant Temperature,1201859611,382192189422054743,max,94.0 +16,1869945724,coolant_minus_intake,1201859611,-5204063793680029428,min,-29.0 +16,1869945724,coolant_minus_intake,1201859611,-5204063793680029428,mean,78.81720373889874 +16,1869945724,coolant_minus_intake,1201859611,-5204063793680029428,max,111.0 +70,1869945724,coolant_minus_intake,1201859611,382192189422054743,min,-49.0 +70,1869945724,coolant_minus_intake,1201859611,382192189422054743,mean,39.62138396857842 +70,1869945724,coolant_minus_intake,1201859611,382192189422054743,max,96.0 +16,850045614,coolant_minus_intake,,574202707537836281,min,-29.0 +16,850045614,coolant_minus_intake,,574202707537836281,mean,78.81720373889874 +16,850045614,coolant_minus_intake,,574202707537836281,max,111.0 +70,850045614,coolant_minus_intake,,-3187491476164010925,min,-49.0 +70,850045614,coolant_minus_intake,,-3187491476164010925,mean,39.62138396857842 +70,850045614,coolant_minus_intake,,-3187491476164010925,max,96.0 4,717751035,Engine RPM,1201859611,3413059497672580978,min,0.0 4,717751035,Engine RPM,1201859611,3413059497672580978,mean,1526.1111291013062 4,717751035,Engine RPM,1201859611,3413059497672580978,max,3347.0 @@ -323,6 +527,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,min,65.0 8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,mean,86.10176244899513 8,717751035,Engine Coolant Temperature,1201859611,-6047692687641618500,max,93.0 +4,1869945724,coolant_minus_intake,1201859611,3413059497672580978,min,-45.0 +4,1869945724,coolant_minus_intake,1201859611,3413059497672580978,mean,74.35585003864962 +4,1869945724,coolant_minus_intake,1201859611,3413059497672580978,max,104.0 +8,1869945724,coolant_minus_intake,1201859611,-6047692687641618500,min,-49.0 +8,1869945724,coolant_minus_intake,1201859611,-6047692687641618500,mean,83.6762435850934 +8,1869945724,coolant_minus_intake,1201859611,-6047692687641618500,max,119.0 +4,850045614,coolant_minus_intake,,-157385974438766849,min,-45.0 +4,850045614,coolant_minus_intake,,-157385974438766849,mean,74.35585003864962 +4,850045614,coolant_minus_intake,,-157385974438766849,max,104.0 +8,850045614,coolant_minus_intake,,7168162393333980306,min,-49.0 +8,850045614,coolant_minus_intake,,7168162393333980306,mean,83.6762435850934 +8,850045614,coolant_minus_intake,,7168162393333980306,max,119.0 20,717751035,Engine RPM,1201859611,3772502504273691038,min,0.0 20,717751035,Engine RPM,1201859611,3772502504273691038,mean,1415.7485190357797 20,717751035,Engine RPM,1201859611,3772502504273691038,max,2556.0 @@ -332,6 +548,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,min,30.0 20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,mean,84.59326084616464 20,717751035,Engine Coolant Temperature,1201859611,3772502504273691038,max,94.0 +20,1869945724,coolant_minus_intake,1201859611,3772502504273691038,min,-94.0 +20,1869945724,coolant_minus_intake,1201859611,3772502504273691038,mean,55.05369212296504 +20,1869945724,coolant_minus_intake,1201859611,3772502504273691038,max,87.0 +20,850045614,coolant_minus_intake,,-1160101306645300538,min,-94.0 +20,850045614,coolant_minus_intake,,-1160101306645300538,mean,55.05369212296504 +20,850045614,coolant_minus_intake,,-1160101306645300538,max,87.0 44,717751035,Engine RPM,1201859611,819277571598892579,min,0.0 44,717751035,Engine RPM,1201859611,819277571598892579,mean,1664.4286443199032 44,717751035,Engine RPM,1201859611,819277571598892579,max,3328.0 @@ -341,6 +563,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,min,31.0 44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,mean,85.32505023774867 44,717751035,Engine Coolant Temperature,1201859611,819277571598892579,max,97.0 +44,1869945724,coolant_minus_intake,1201859611,819277571598892579,min,-83.0 +44,1869945724,coolant_minus_intake,1201859611,819277571598892579,mean,49.58873891438823 +44,1869945724,coolant_minus_intake,1201859611,819277571598892579,max,68.0 +44,850045614,coolant_minus_intake,,2398613304705511006,min,-83.0 +44,850045614,coolant_minus_intake,,2398613304705511006,mean,49.58873891438823 +44,850045614,coolant_minus_intake,,2398613304705511006,max,68.0 30,717751035,Engine RPM,1201859611,-4509912318961261997,min,0.0 30,717751035,Engine RPM,1201859611,-4509912318961261997,mean,1467.0242777097128 30,717751035,Engine RPM,1201859611,-4509912318961261997,max,2775.0 @@ -368,6 +596,24 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,min,16.0 80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,mean,62.16280368369521 80,717751035,Engine Coolant Temperature,1201859611,-8519964041684473957,max,91.0 +30,1869945724,coolant_minus_intake,1201859611,-4509912318961261997,min,-40.0 +30,1869945724,coolant_minus_intake,1201859611,-4509912318961261997,mean,76.60604897728435 +30,1869945724,coolant_minus_intake,1201859611,-4509912318961261997,max,109.0 +50,1869945724,coolant_minus_intake,1201859611,4815143990666075450,min,0.0 +50,1869945724,coolant_minus_intake,1201859611,4815143990666075450,mean,71.76261525927987 +50,1869945724,coolant_minus_intake,1201859611,4815143990666075450,max,90.0 +80,1869945724,coolant_minus_intake,1201859611,-8519964041684473957,min,3.0 +80,1869945724,coolant_minus_intake,1201859611,-8519964041684473957,mean,55.19604891156107 +80,1869945724,coolant_minus_intake,1201859611,-8519964041684473957,max,92.0 +30,850045614,coolant_minus_intake,,3798237144437693244,min,-40.0 +30,850045614,coolant_minus_intake,,3798237144437693244,mean,76.60604897728435 +30,850045614,coolant_minus_intake,,3798237144437693244,max,109.0 +50,850045614,coolant_minus_intake,,-34758259770468204,min,0.0 +50,850045614,coolant_minus_intake,,-34758259770468204,mean,71.76261525927987 +50,850045614,coolant_minus_intake,,-34758259770468204,max,90.0 +80,850045614,coolant_minus_intake,,939211995145556975,min,3.0 +80,850045614,coolant_minus_intake,,939211995145556975,mean,55.19604891156107 +80,850045614,coolant_minus_intake,,939211995145556975,max,92.0 33,717751035,Engine RPM,1201859611,-6056317502954263346,min,0.0 33,717751035,Engine RPM,1201859611,-6056317502954263346,mean,1602.7588354916938 33,717751035,Engine RPM,1201859611,-6056317502954263346,max,3200.0 @@ -377,6 +623,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,min,75.0 33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,mean,90.50423782409145 33,717751035,Engine Coolant Temperature,1201859611,-6056317502954263346,max,103.0 +33,1869945724,coolant_minus_intake,1201859611,-6056317502954263346,min,-57.0 +33,1869945724,coolant_minus_intake,1201859611,-6056317502954263346,mean,57.498315519594136 +33,1869945724,coolant_minus_intake,1201859611,-6056317502954263346,max,85.0 +33,850045614,coolant_minus_intake,,-2286662594847868010,min,-57.0 +33,850045614,coolant_minus_intake,,-2286662594847868010,mean,57.498315519594136 +33,850045614,coolant_minus_intake,,-2286662594847868010,max,85.0 10,717751035,Engine RPM,1201859611,799052670452099784,min,0.0 10,717751035,Engine RPM,1201859611,799052670452099784,mean,1314.130454751977 10,717751035,Engine RPM,1201859611,799052670452099784,max,2545.0 @@ -386,6 +638,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,min,8.0 10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,mean,74.14848649858493 10,717751035,Engine Coolant Temperature,1201859611,799052670452099784,max,93.0 +10,1869945724,coolant_minus_intake,1201859611,799052670452099784,min,-54.0 +10,1869945724,coolant_minus_intake,1201859611,799052670452099784,mean,64.63708639895556 +10,1869945724,coolant_minus_intake,1201859611,799052670452099784,max,116.0 +10,850045614,coolant_minus_intake,,2429700206333499480,min,-54.0 +10,850045614,coolant_minus_intake,,2429700206333499480,mean,64.63708639895556 +10,850045614,coolant_minus_intake,,2429700206333499480,max,116.0 40,717751035,Engine RPM,1201859611,8695525273439978119,min,0.0 40,717751035,Engine RPM,1201859611,8695525273439978119,mean,1467.4526332701093 40,717751035,Engine RPM,1201859611,8695525273439978119,max,2880.0 @@ -404,6 +662,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,min,11.0 46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,mean,77.10227218484322 46,717751035,Engine Coolant Temperature,1201859611,-6047084444995931845,max,94.0 +40,1869945724,coolant_minus_intake,1201859611,8695525273439978119,min,-86.0 +40,1869945724,coolant_minus_intake,1201859611,8695525273439978119,mean,56.186538719648766 +40,1869945724,coolant_minus_intake,1201859611,8695525273439978119,max,90.0 +46,1869945724,coolant_minus_intake,1201859611,-6047084444995931845,min,-37.0 +46,1869945724,coolant_minus_intake,1201859611,-6047084444995931845,mean,69.01747371512724 +46,1869945724,coolant_minus_intake,1201859611,-6047084444995931845,max,93.0 +40,850045614,coolant_minus_intake,,-7336552164572044964,min,-86.0 +40,850045614,coolant_minus_intake,,-7336552164572044964,mean,56.186538719648766 +40,850045614,coolant_minus_intake,,-7336552164572044964,max,90.0 +46,850045614,coolant_minus_intake,,2081406811446499493,min,-37.0 +46,850045614,coolant_minus_intake,,2081406811446499493,mean,69.01747371512724 +46,850045614,coolant_minus_intake,,2081406811446499493,max,93.0 53,717751035,Engine RPM,1201859611,-8118175245509467954,min,0.0 53,717751035,Engine RPM,1201859611,-8118175245509467954,mean,1498.354045653113 53,717751035,Engine RPM,1201859611,-8118175245509467954,max,2616.0 @@ -413,6 +683,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,min,40.0 53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,mean,80.61459324777321 53,717751035,Engine Coolant Temperature,1201859611,-8118175245509467954,max,94.0 +53,1869945724,coolant_minus_intake,1201859611,-8118175245509467954,min,-40.0 +53,1869945724,coolant_minus_intake,1201859611,-8118175245509467954,mean,70.73283464651193 +53,1869945724,coolant_minus_intake,1201859611,-8118175245509467954,max,104.0 +53,850045614,coolant_minus_intake,,-6919844231806617521,min,-40.0 +53,850045614,coolant_minus_intake,,-6919844231806617521,mean,70.73283464651193 +53,850045614,coolant_minus_intake,,-6919844231806617521,max,104.0 34,717751035,Engine RPM,1201859611,-5864392879735263686,min,0.0 34,717751035,Engine RPM,1201859611,-5864392879735263686,mean,1384.0831067538634 34,717751035,Engine RPM,1201859611,-5864392879735263686,max,2975.0 @@ -422,6 +698,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,min,14.0 34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,mean,74.22997960322488 34,717751035,Engine Coolant Temperature,1201859611,-5864392879735263686,max,94.0 +34,1869945724,coolant_minus_intake,1201859611,-5864392879735263686,min,-66.0 +34,1869945724,coolant_minus_intake,1201859611,-5864392879735263686,mean,60.594903725765334 +34,1869945724,coolant_minus_intake,1201859611,-5864392879735263686,max,109.0 +34,850045614,coolant_minus_intake,,120755211073882854,min,-66.0 +34,850045614,coolant_minus_intake,,120755211073882854,mean,60.594903725765334 +34,850045614,coolant_minus_intake,,120755211073882854,max,109.0 17,717751035,Engine RPM,1201859611,1920899555557485333,min,0.0 17,717751035,Engine RPM,1201859611,1920899555557485333,mean,1377.4672276716858 17,717751035,Engine RPM,1201859611,1920899555557485333,max,2689.0 @@ -431,6 +713,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,min,29.0 17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,mean,84.91646520602409 17,717751035,Engine Coolant Temperature,1201859611,1920899555557485333,max,94.0 +17,1869945724,coolant_minus_intake,1201859611,1920899555557485333,min,-79.0 +17,1869945724,coolant_minus_intake,1201859611,1920899555557485333,mean,55.623051448088084 +17,1869945724,coolant_minus_intake,1201859611,1920899555557485333,max,89.0 +17,850045614,coolant_minus_intake,,4492745729078499492,min,-79.0 +17,850045614,coolant_minus_intake,,4492745729078499492,mean,55.623051448088084 +17,850045614,coolant_minus_intake,,4492745729078499492,max,89.0 11,717751035,Engine RPM,1201859611,-5926799641916171529,min,0.0 11,717751035,Engine RPM,1201859611,-5926799641916171529,mean,1487.563622831777 11,717751035,Engine RPM,1201859611,-5926799641916171529,max,3096.0 @@ -440,6 +728,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,min,30.0 11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,mean,86.09956661686856 11,717751035,Engine Coolant Temperature,1201859611,-5926799641916171529,max,93.0 +11,1869945724,coolant_minus_intake,1201859611,-5926799641916171529,min,-83.0 +11,1869945724,coolant_minus_intake,1201859611,-5926799641916171529,mean,53.104098570370674 +11,1869945724,coolant_minus_intake,1201859611,-5926799641916171529,max,85.0 +11,850045614,coolant_minus_intake,,-8899493418065173711,min,-83.0 +11,850045614,coolant_minus_intake,,-8899493418065173711,mean,53.104098570370674 +11,850045614,coolant_minus_intake,,-8899493418065173711,max,85.0 12,717751035,Engine RPM,1201859611,621520344043114077,min,0.0 12,717751035,Engine RPM,1201859611,621520344043114077,mean,1735.6059370257688 12,717751035,Engine RPM,1201859611,621520344043114077,max,3272.0 @@ -449,6 +743,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,min,8.0 12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,mean,82.92123256642661 12,717751035,Engine Coolant Temperature,1201859611,621520344043114077,max,95.0 +12,1869945724,coolant_minus_intake,1201859611,621520344043114077,min,-41.0 +12,1869945724,coolant_minus_intake,1201859611,621520344043114077,mean,76.1162494088006 +12,1869945724,coolant_minus_intake,1201859611,621520344043114077,max,94.0 +12,850045614,coolant_minus_intake,,1207915091385815717,min,-41.0 +12,850045614,coolant_minus_intake,,1207915091385815717,mean,76.1162494088006 +12,850045614,coolant_minus_intake,,1207915091385815717,max,94.0 81,717751035,Engine RPM,1201859611,-3039017337926577879,min,0.0 81,717751035,Engine RPM,1201859611,-3039017337926577879,mean,1418.3154289942524 81,717751035,Engine RPM,1201859611,-3039017337926577879,max,2562.0 @@ -458,6 +758,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,min,22.0 81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,mean,53.47739996472596 81,717751035,Engine Coolant Temperature,1201859611,-3039017337926577879,max,79.0 +81,1869945724,coolant_minus_intake,1201859611,-3039017337926577879,min,-8.0 +81,1869945724,coolant_minus_intake,1201859611,-3039017337926577879,mean,32.36176058034601 +81,1869945724,coolant_minus_intake,1201859611,-3039017337926577879,max,60.0 +81,850045614,coolant_minus_intake,,-1432389452463630720,min,-8.0 +81,850045614,coolant_minus_intake,,-1432389452463630720,mean,32.36176058034601 +81,850045614,coolant_minus_intake,,-1432389452463630720,max,60.0 25,717751035,Engine RPM,1201859611,-5797038905919203719,min,0.0 25,717751035,Engine RPM,1201859611,-5797038905919203719,mean,1410.768188471251 25,717751035,Engine RPM,1201859611,-5797038905919203719,max,2472.0 @@ -467,6 +773,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,min,33.0 25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,mean,85.01079681390014 25,717751035,Engine Coolant Temperature,1201859611,-5797038905919203719,max,94.0 +25,1869945724,coolant_minus_intake,1201859611,-5797038905919203719,min,-73.0 +25,1869945724,coolant_minus_intake,1201859611,-5797038905919203719,mean,55.38152855342926 +25,1869945724,coolant_minus_intake,1201859611,-5797038905919203719,max,88.0 +25,850045614,coolant_minus_intake,,6498303495724856328,min,-73.0 +25,850045614,coolant_minus_intake,,6498303495724856328,mean,55.38152855342926 +25,850045614,coolant_minus_intake,,6498303495724856328,max,88.0 9,717751035,Engine RPM,1201859611,7816983797231647252,min,0.0 9,717751035,Engine RPM,1201859611,7816983797231647252,mean,1632.3920343462057 9,717751035,Engine RPM,1201859611,7816983797231647252,max,3220.0 @@ -476,6 +788,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,min,42.0 9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,mean,88.33813276014473 9,717751035,Engine Coolant Temperature,1201859611,7816983797231647252,max,96.0 +9,1869945724,coolant_minus_intake,1201859611,7816983797231647252,min,-91.0 +9,1869945724,coolant_minus_intake,1201859611,7816983797231647252,mean,63.659875121041196 +9,1869945724,coolant_minus_intake,1201859611,7816983797231647252,max,80.0 +9,850045614,coolant_minus_intake,,-8183280184946246080,min,-91.0 +9,850045614,coolant_minus_intake,,-8183280184946246080,mean,63.659875121041196 +9,850045614,coolant_minus_intake,,-8183280184946246080,max,80.0 38,717751035,Engine RPM,1201859611,8006099507947146869,min,0.0 38,717751035,Engine RPM,1201859611,8006099507947146869,mean,1514.527505517681 38,717751035,Engine RPM,1201859611,8006099507947146869,max,2737.0 @@ -485,6 +803,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,min,9.0 38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,mean,77.4823949547948 38,717751035,Engine Coolant Temperature,1201859611,8006099507947146869,max,95.0 +38,1869945724,coolant_minus_intake,1201859611,8006099507947146869,min,-36.0 +38,1869945724,coolant_minus_intake,1201859611,8006099507947146869,mean,66.86014419009464 +38,1869945724,coolant_minus_intake,1201859611,8006099507947146869,max,103.0 +38,850045614,coolant_minus_intake,,-4263531492255805459,min,-36.0 +38,850045614,coolant_minus_intake,,-4263531492255805459,mean,66.86014419009464 +38,850045614,coolant_minus_intake,,-4263531492255805459,max,103.0 14,717751035,Engine RPM,1201859611,2702796889550818087,min,0.0 14,717751035,Engine RPM,1201859611,2702796889550818087,mean,1605.0366029386216 14,717751035,Engine RPM,1201859611,2702796889550818087,max,3406.0 @@ -503,6 +827,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,min,9.0 29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,mean,75.97083865780071 29,717751035,Engine Coolant Temperature,1201859611,6556782270497265025,max,95.0 +14,1869945724,coolant_minus_intake,1201859611,2702796889550818087,min,-81.0 +14,1869945724,coolant_minus_intake,1201859611,2702796889550818087,mean,52.05236770368855 +14,1869945724,coolant_minus_intake,1201859611,2702796889550818087,max,95.0 +29,1869945724,coolant_minus_intake,1201859611,6556782270497265025,min,-32.0 +29,1869945724,coolant_minus_intake,1201859611,6556782270497265025,mean,80.35696074505441 +29,1869945724,coolant_minus_intake,1201859611,6556782270497265025,max,122.0 +14,850045614,coolant_minus_intake,,2233035438103253098,min,-81.0 +14,850045614,coolant_minus_intake,,2233035438103253098,mean,52.05236770368855 +14,850045614,coolant_minus_intake,,2233035438103253098,max,95.0 +29,850045614,coolant_minus_intake,,-9094064618407100549,min,-32.0 +29,850045614,coolant_minus_intake,,-9094064618407100549,mean,80.35696074505441 +29,850045614,coolant_minus_intake,,-9094064618407100549,max,122.0 61,717751035,Engine RPM,1201859611,-6074962741691029584,min,0.0 61,717751035,Engine RPM,1201859611,-6074962741691029584,mean,1618.4896166180724 61,717751035,Engine RPM,1201859611,-6074962741691029584,max,2544.0 @@ -521,6 +857,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,min,10.0 68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,mean,52.52113041935128 68,717751035,Engine Coolant Temperature,1201859611,-4052763906460934747,max,74.0 +61,1869945724,coolant_minus_intake,1201859611,-6074962741691029584,min,-46.0 +61,1869945724,coolant_minus_intake,1201859611,-6074962741691029584,mean,67.72089871941768 +61,1869945724,coolant_minus_intake,1201859611,-6074962741691029584,max,88.0 +68,1869945724,coolant_minus_intake,1201859611,-4052763906460934747,min,-90.0 +68,1869945724,coolant_minus_intake,1201859611,-4052763906460934747,mean,48.42286828506629 +68,1869945724,coolant_minus_intake,1201859611,-4052763906460934747,max,72.0 +61,850045614,coolant_minus_intake,,-8779160874718785200,min,-46.0 +61,850045614,coolant_minus_intake,,-8779160874718785200,mean,67.72089871941768 +61,850045614,coolant_minus_intake,,-8779160874718785200,max,88.0 +68,850045614,coolant_minus_intake,,-2346496602610766465,min,-90.0 +68,850045614,coolant_minus_intake,,-2346496602610766465,mean,48.42286828506629 +68,850045614,coolant_minus_intake,,-2346496602610766465,max,72.0 51,717751035,Engine RPM,1201859611,-8939688255858788198,min,0.0 51,717751035,Engine RPM,1201859611,-8939688255858788198,mean,1804.0610418580354 51,717751035,Engine RPM,1201859611,-8939688255858788198,max,3682.0 @@ -530,6 +878,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,min,31.0 51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,mean,85.45312140690788 51,717751035,Engine Coolant Temperature,1201859611,-8939688255858788198,max,94.0 +51,1869945724,coolant_minus_intake,1201859611,-8939688255858788198,min,-95.0 +51,1869945724,coolant_minus_intake,1201859611,-8939688255858788198,mean,53.93020855472176 +51,1869945724,coolant_minus_intake,1201859611,-8939688255858788198,max,85.0 +51,850045614,coolant_minus_intake,,9131742263043722055,min,-95.0 +51,850045614,coolant_minus_intake,,9131742263043722055,mean,53.93020855472176 +51,850045614,coolant_minus_intake,,9131742263043722055,max,85.0 23,717751035,Engine RPM,1201859611,1667169207552354980,min,0.0 23,717751035,Engine RPM,1201859611,1667169207552354980,mean,1646.6120441591759 23,717751035,Engine RPM,1201859611,1667169207552354980,max,3497.0 @@ -539,6 +893,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,min,26.0 23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,mean,85.89731854560233 23,717751035,Engine Coolant Temperature,1201859611,1667169207552354980,max,94.0 +23,1869945724,coolant_minus_intake,1201859611,1667169207552354980,min,-56.0 +23,1869945724,coolant_minus_intake,1201859611,1667169207552354980,mean,61.4671270543404 +23,1869945724,coolant_minus_intake,1201859611,1667169207552354980,max,92.0 +23,850045614,coolant_minus_intake,,-8540692042828011014,min,-56.0 +23,850045614,coolant_minus_intake,,-8540692042828011014,mean,61.4671270543404 +23,850045614,coolant_minus_intake,,-8540692042828011014,max,92.0 36,717751035,Engine RPM,1201859611,-4482700421175446431,min,0.0 36,717751035,Engine RPM,1201859611,-4482700421175446431,mean,1543.0496063472635 36,717751035,Engine RPM,1201859611,-4482700421175446431,max,2557.0 @@ -548,6 +908,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,min,5.0 36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,mean,76.05263790286345 36,717751035,Engine Coolant Temperature,1201859611,-4482700421175446431,max,95.0 +36,1869945724,coolant_minus_intake,1201859611,-4482700421175446431,min,-32.0 +36,1869945724,coolant_minus_intake,1201859611,-4482700421175446431,mean,73.97538110190916 +36,1869945724,coolant_minus_intake,1201859611,-4482700421175446431,max,111.0 +36,850045614,coolant_minus_intake,,6177733726608736806,min,-32.0 +36,850045614,coolant_minus_intake,,6177733726608736806,mean,73.97538110190916 +36,850045614,coolant_minus_intake,,6177733726608736806,max,111.0 60,717751035,Engine RPM,1201859611,1782504894750799124,min,353.0 60,717751035,Engine RPM,1201859611,1782504894750799124,mean,1471.711980551247 60,717751035,Engine RPM,1201859611,1782504894750799124,max,2923.0 @@ -557,6 +923,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,min,87.0 60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,mean,89.50600446045384 60,717751035,Engine Coolant Temperature,1201859611,1782504894750799124,max,91.0 +60,1869945724,coolant_minus_intake,1201859611,1782504894750799124,min,23.0 +60,1869945724,coolant_minus_intake,1201859611,1782504894750799124,mean,77.25845452856439 +60,1869945724,coolant_minus_intake,1201859611,1782504894750799124,max,100.0 +60,850045614,coolant_minus_intake,,-2792750063488614951,min,23.0 +60,850045614,coolant_minus_intake,,-2792750063488614951,mean,77.25845452856439 +60,850045614,coolant_minus_intake,,-2792750063488614951,max,100.0 18,717751035,Engine RPM,1201859611,7002524279394511806,min,0.0 18,717751035,Engine RPM,1201859611,7002524279394511806,mean,1747.0170084475576 18,717751035,Engine RPM,1201859611,7002524279394511806,max,3359.0 @@ -575,6 +947,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,min,13.0 32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,mean,78.16986826248105 32,717751035,Engine Coolant Temperature,1201859611,-5227152884695581212,max,94.0 +18,1869945724,coolant_minus_intake,1201859611,7002524279394511806,min,-42.0 +18,1869945724,coolant_minus_intake,1201859611,7002524279394511806,mean,66.57515832937578 +18,1869945724,coolant_minus_intake,1201859611,7002524279394511806,max,98.0 +32,1869945724,coolant_minus_intake,1201859611,-5227152884695581212,min,-29.0 +32,1869945724,coolant_minus_intake,1201859611,-5227152884695581212,mean,74.77873263594935 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55,717751035,Engine Coolant Temperature,1201859611,-7312033798960504347,max,94.0 +42,1869945724,coolant_minus_intake,1201859611,-4744849287861989057,min,-28.0 +42,1869945724,coolant_minus_intake,1201859611,-4744849287861989057,mean,72.08728710061659 +42,1869945724,coolant_minus_intake,1201859611,-4744849287861989057,max,114.0 +55,1869945724,coolant_minus_intake,1201859611,-7312033798960504347,min,-98.0 +55,1869945724,coolant_minus_intake,1201859611,-7312033798960504347,mean,58.77737778925521 +55,1869945724,coolant_minus_intake,1201859611,-7312033798960504347,max,89.0 +42,850045614,coolant_minus_intake,,1118723293014363241,min,-28.0 +42,850045614,coolant_minus_intake,,1118723293014363241,mean,72.08728710061659 +42,850045614,coolant_minus_intake,,1118723293014363241,max,114.0 +55,850045614,coolant_minus_intake,,-6022634068608452688,min,-98.0 +55,850045614,coolant_minus_intake,,-6022634068608452688,mean,58.77737778925521 +55,850045614,coolant_minus_intake,,-6022634068608452688,max,89.0 67,717751035,Engine RPM,1201859611,-2034556668057200826,min,0.0 67,717751035,Engine RPM,1201859611,-2034556668057200826,mean,1114.4268945866636 67,717751035,Engine RPM,1201859611,-2034556668057200826,max,2616.0 @@ -611,6 +1007,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,min,90.0 69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,mean,90.6266123830939 69,717751035,Engine Coolant Temperature,1201859611,5297223516241122749,max,92.0 +67,1869945724,coolant_minus_intake,1201859611,-2034556668057200826,min,-85.0 +67,1869945724,coolant_minus_intake,1201859611,-2034556668057200826,mean,36.95756242417988 +67,1869945724,coolant_minus_intake,1201859611,-2034556668057200826,max,84.0 +69,1869945724,coolant_minus_intake,1201859611,5297223516241122749,min,-60.0 +69,1869945724,coolant_minus_intake,1201859611,5297223516241122749,mean,35.795985552708636 +69,1869945724,coolant_minus_intake,1201859611,5297223516241122749,max,80.0 +67,850045614,coolant_minus_intake,,-1069460312688773016,min,-85.0 +67,850045614,coolant_minus_intake,,-1069460312688773016,mean,36.95756242417988 +67,850045614,coolant_minus_intake,,-1069460312688773016,max,84.0 +69,850045614,coolant_minus_intake,,7089659772484911091,min,-60.0 +69,850045614,coolant_minus_intake,,7089659772484911091,mean,35.795985552708636 +69,850045614,coolant_minus_intake,,7089659772484911091,max,80.0 59,717751035,Engine RPM,1201859611,4526313175717176312,min,0.0 59,717751035,Engine RPM,1201859611,4526313175717176312,mean,1651.2476025409273 59,717751035,Engine RPM,1201859611,4526313175717176312,max,2868.0 @@ -620,6 +1028,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,min,25.0 59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,mean,86.61080538672012 59,717751035,Engine Coolant Temperature,1201859611,4526313175717176312,max,101.0 +59,1869945724,coolant_minus_intake,1201859611,4526313175717176312,min,-51.0 +59,1869945724,coolant_minus_intake,1201859611,4526313175717176312,mean,59.73496703612055 +59,1869945724,coolant_minus_intake,1201859611,4526313175717176312,max,82.0 +59,850045614,coolant_minus_intake,,-6192426775976084938,min,-51.0 +59,850045614,coolant_minus_intake,,-6192426775976084938,mean,59.73496703612055 +59,850045614,coolant_minus_intake,,-6192426775976084938,max,82.0 26,717751035,Engine RPM,1201859611,8588031391057209555,min,0.0 26,717751035,Engine RPM,1201859611,8588031391057209555,mean,1426.7536469896415 26,717751035,Engine RPM,1201859611,8588031391057209555,max,3404.0 @@ -629,6 +1043,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,min,14.0 26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,mean,80.8976982990261 26,717751035,Engine Coolant Temperature,1201859611,8588031391057209555,max,94.0 +26,1869945724,coolant_minus_intake,1201859611,8588031391057209555,min,-45.0 +26,1869945724,coolant_minus_intake,1201859611,8588031391057209555,mean,66.98407623926938 +26,1869945724,coolant_minus_intake,1201859611,8588031391057209555,max,94.0 +26,850045614,coolant_minus_intake,,1060357650070578241,min,-45.0 +26,850045614,coolant_minus_intake,,1060357650070578241,mean,66.98407623926938 +26,850045614,coolant_minus_intake,,1060357650070578241,max,94.0 47,717751035,Engine RPM,1201859611,3287404548624903503,min,0.0 47,717751035,Engine RPM,1201859611,3287404548624903503,mean,1507.952652274933 47,717751035,Engine RPM,1201859611,3287404548624903503,max,2910.0 @@ -647,6 +1067,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,min,18.0 74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,mean,59.7127691873059 74,717751035,Engine Coolant Temperature,1201859611,-2523754915779770005,max,95.0 +47,1869945724,coolant_minus_intake,1201859611,3287404548624903503,min,-50.0 +47,1869945724,coolant_minus_intake,1201859611,3287404548624903503,mean,57.62666460747354 +47,1869945724,coolant_minus_intake,1201859611,3287404548624903503,max,77.0 +74,1869945724,coolant_minus_intake,1201859611,-2523754915779770005,min,1.0 +74,1869945724,coolant_minus_intake,1201859611,-2523754915779770005,mean,51.720991625651806 +74,1869945724,coolant_minus_intake,1201859611,-2523754915779770005,max,96.0 +47,850045614,coolant_minus_intake,,-3548529984075529002,min,-50.0 +47,850045614,coolant_minus_intake,,-3548529984075529002,mean,57.62666460747354 +47,850045614,coolant_minus_intake,,-3548529984075529002,max,77.0 +74,850045614,coolant_minus_intake,,4456297887494387530,min,1.0 +74,850045614,coolant_minus_intake,,4456297887494387530,mean,51.720991625651806 +74,850045614,coolant_minus_intake,,4456297887494387530,max,96.0 62,717751035,Engine RPM,1201859611,2045378005814092654,min,0.0 62,717751035,Engine RPM,1201859611,2045378005814092654,mean,1369.4898685597188 62,717751035,Engine RPM,1201859611,2045378005814092654,max,2902.0 @@ -656,6 +1088,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,min,88.0 62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,mean,89.70275030212409 62,717751035,Engine Coolant Temperature,1201859611,2045378005814092654,max,91.0 +62,1869945724,coolant_minus_intake,1201859611,2045378005814092654,min,-45.0 +62,1869945724,coolant_minus_intake,1201859611,2045378005814092654,mean,67.6116402972288 +62,1869945724,coolant_minus_intake,1201859611,2045378005814092654,max,105.0 +62,850045614,coolant_minus_intake,,-3918285174196427557,min,-45.0 +62,850045614,coolant_minus_intake,,-3918285174196427557,mean,67.6116402972288 +62,850045614,coolant_minus_intake,,-3918285174196427557,max,105.0 31,717751035,Engine RPM,1201859611,27763026888340976,min,0.0 31,717751035,Engine RPM,1201859611,27763026888340976,mean,1450.6490898227182 31,717751035,Engine RPM,1201859611,27763026888340976,max,2665.0 @@ -665,6 +1103,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,min,14.0 31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,mean,80.00928704623948 31,717751035,Engine Coolant Temperature,1201859611,27763026888340976,max,94.0 +31,1869945724,coolant_minus_intake,1201859611,27763026888340976,min,-32.0 +31,1869945724,coolant_minus_intake,1201859611,27763026888340976,mean,69.54889608246121 +31,1869945724,coolant_minus_intake,1201859611,27763026888340976,max,102.0 +31,850045614,coolant_minus_intake,,-1792004907761411193,min,-32.0 +31,850045614,coolant_minus_intake,,-1792004907761411193,mean,69.54889608246121 +31,850045614,coolant_minus_intake,,-1792004907761411193,max,102.0 56,717751035,Engine RPM,1201859611,-1655462257548164667,min,0.0 56,717751035,Engine RPM,1201859611,-1655462257548164667,mean,1593.7827630223187 56,717751035,Engine RPM,1201859611,-1655462257548164667,max,2718.0 @@ -674,6 +1118,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,min,62.0 56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,mean,89.54322978093587 56,717751035,Engine Coolant Temperature,1201859611,-1655462257548164667,max,95.0 +56,1869945724,coolant_minus_intake,1201859611,-1655462257548164667,min,-50.0 +56,1869945724,coolant_minus_intake,1201859611,-1655462257548164667,mean,62.383481757329875 +56,1869945724,coolant_minus_intake,1201859611,-1655462257548164667,max,91.0 +56,850045614,coolant_minus_intake,,3249965139614543221,min,-50.0 +56,850045614,coolant_minus_intake,,3249965139614543221,mean,62.383481757329875 +56,850045614,coolant_minus_intake,,3249965139614543221,max,91.0 73,717751035,Engine RPM,1201859611,4038311380879008479,min,0.0 73,717751035,Engine RPM,1201859611,4038311380879008479,mean,1448.0903827211644 73,717751035,Engine RPM,1201859611,4038311380879008479,max,2539.0 @@ -683,6 +1133,12 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,min,4.0 73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,mean,46.57740216010325 73,717751035,Engine Coolant Temperature,1201859611,4038311380879008479,max,72.0 +73,1869945724,coolant_minus_intake,1201859611,4038311380879008479,min,-10.0 +73,1869945724,coolant_minus_intake,1201859611,4038311380879008479,mean,50.49832849015844 +73,1869945724,coolant_minus_intake,1201859611,4038311380879008479,max,84.0 +73,850045614,coolant_minus_intake,,4638009120756612466,min,-10.0 +73,850045614,coolant_minus_intake,,4638009120756612466,mean,50.49832849015844 +73,850045614,coolant_minus_intake,,4638009120756612466,max,84.0 6,717751035,Engine RPM,1201859611,5601914189163822671,min,0.0 6,717751035,Engine RPM,1201859611,5601914189163822671,mean,1605.4123428562618 6,717751035,Engine RPM,1201859611,5601914189163822671,max,3333.0 @@ -701,6 +1157,18 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,min,88.0 78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,mean,89.43843949666329 78,717751035,Engine Coolant Temperature,1201859611,-6903129361326617772,max,91.0 +6,1869945724,coolant_minus_intake,1201859611,5601914189163822671,min,-79.0 +6,1869945724,coolant_minus_intake,1201859611,5601914189163822671,mean,57.60958862223774 +6,1869945724,coolant_minus_intake,1201859611,5601914189163822671,max,90.0 +78,1869945724,coolant_minus_intake,1201859611,-6903129361326617772,min,-27.0 +78,1869945724,coolant_minus_intake,1201859611,-6903129361326617772,mean,82.55756450728187 +78,1869945724,coolant_minus_intake,1201859611,-6903129361326617772,max,102.0 +6,850045614,coolant_minus_intake,,-7598739454470446746,min,-79.0 +6,850045614,coolant_minus_intake,,-7598739454470446746,mean,57.60958862223774 +6,850045614,coolant_minus_intake,,-7598739454470446746,max,90.0 +78,850045614,coolant_minus_intake,,617965719708039377,min,-27.0 +78,850045614,coolant_minus_intake,,617965719708039377,mean,82.55756450728187 +78,850045614,coolant_minus_intake,,617965719708039377,max,102.0 19,717751035,Engine RPM,1201859611,107421361993047462,min,0.0 19,717751035,Engine RPM,1201859611,107421361993047462,mean,1597.5680194141225 19,717751035,Engine RPM,1201859611,107421361993047462,max,2889.0 @@ -728,3 +1196,21 @@ container_id,visual_id,channel_name,event_id,event_instance_id,aggregation_label 79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,min,24.0 79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,mean,67.75602686195407 79,717751035,Engine Coolant Temperature,1201859611,2185843916018887178,max,95.0 +19,1869945724,coolant_minus_intake,1201859611,107421361993047462,min,-31.0 +19,1869945724,coolant_minus_intake,1201859611,107421361993047462,mean,68.00891036264247 +19,1869945724,coolant_minus_intake,1201859611,107421361993047462,max,104.0 +48,1869945724,coolant_minus_intake,1201859611,2089968467991060156,min,-80.0 +48,1869945724,coolant_minus_intake,1201859611,2089968467991060156,mean,58.18165517018039 +48,1869945724,coolant_minus_intake,1201859611,2089968467991060156,max,81.0 +79,1869945724,coolant_minus_intake,1201859611,2185843916018887178,min,-93.0 +79,1869945724,coolant_minus_intake,1201859611,2185843916018887178,mean,43.63276495490839 +79,1869945724,coolant_minus_intake,1201859611,2185843916018887178,max,81.0 +19,850045614,coolant_minus_intake,,504986533680596580,min,-31.0 +19,850045614,coolant_minus_intake,,504986533680596580,mean,68.00891036264247 +19,850045614,coolant_minus_intake,,504986533680596580,max,104.0 +48,850045614,coolant_minus_intake,,5963008966486793059,min,-80.0 +48,850045614,coolant_minus_intake,,5963008966486793059,mean,58.18165517018039 +48,850045614,coolant_minus_intake,,5963008966486793059,max,81.0 +79,850045614,coolant_minus_intake,,-8429740190357507744,min,-93.0 +79,850045614,coolant_minus_intake,,-8429740190357507744,mean,43.63276495490839 +79,850045614,coolant_minus_intake,,-8429740190357507744,max,81.0 From 0bc290a621bedaffeef9c8fc9cf18eab4307cae6 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Mon, 19 Oct 2026 09:24:41 +0200 Subject: [PATCH 12/18] feat(e2e): harden incremental update assertions and workflow cleanup - Strengthen `e2e_incremental_updates.py` to verify that re-ingesting one container leaves all other containers' rows unchanged (including `_created_at`). - Switch `e2e_utils.py` to absolute tolerance only for DataFrame comparisons, avoiding false negatives on epoch timestamps, and catch all comparison errors. - Remove temporary branch trigger and `continue-on-error` from `e2e.yml`, drop the fork-gate job, and configure concurrency so overlapping runs queue instead of cancelling the active Databricks job; cancel the job run when the workflow itself is cancelled. - Update `tests/e2e/README.md` to describe the new incremental-update assertion. --- .github/workflows/e2e.yml | 29 +++++++++++----------------- tests/e2e/README.md | 2 +- tests/e2e/e2e_incremental_updates.py | 10 ++++++++++ tests/e2e/e2e_utils.py | 6 ++++-- 4 files changed, 26 insertions(+), 21 deletions(-) diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 3f413cd2..23340cab 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -2,10 +2,6 @@ name: e2e # End-to-end tests on Databricks serverless (see databricks.yml). Nightly and on demand. on: - # TEMPORARY — remove before merging to main. - push: - branches: - - feature/e2e_tests_on_databricks schedule: # 04:00 UTC daily. - cron: "0 4 * * *" @@ -14,25 +10,15 @@ on: permissions: contents: read +# All runs deploy to the same bundle and job, so they queue instead of cancelling each +# other (cancelling would stop only the CLI, not the job run). concurrency: - group: ${{ github.workflow }}-${{ github.ref }} - cancel-in-progress: true + group: ${{ github.workflow }} + cancel-in-progress: false jobs: - # Fork runs get no secrets; skip them (same as acceptance.yml). - not-a-fork: - runs-on: - group: databrickslabs-protected-runner-group - labels: linux-ubuntu-latest - if: github.event_name != 'pull_request' || !github.event.pull_request.head.repo.fork - steps: - - run: echo "Not a fork, proceeding" - e2e: name: E2E on Databricks (serverless) - needs: not-a-fork - # TEMPORARY — remove before merging to main. Failing runs show as green. - continue-on-error: true runs-on: group: databrickslabs-protected-runner-group labels: linux-ubuntu-latest @@ -70,3 +56,10 @@ jobs: - name: Run e2e job run: databricks bundle run e2e_tests -t e2e + + # A cancelled workflow leaves the job run going; stop it too. + - name: Cancel e2e job run + if: cancelled() + run: | + job_id=$(databricks bundle summary -t e2e -o json | jq -r '.resources.jobs.e2e_tests.id') + databricks jobs cancel-all-runs --job-id "$job_id" diff --git a/tests/e2e/README.md b/tests/e2e/README.md index 7c1dd3dd..16964bbd 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -11,7 +11,7 @@ The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this f | `setup` | `setup_schema` | Creates the schema, drops this job's schemas older than one day, checks the source data against `expected/containers.csv` | | `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`): a compute-only run writes nothing and gives the expected histogram; two persisted runs update the gold tables in place | | `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; must equal `rpm_histogram` | -| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed without stale rows; changed histogram bins recompute only the histogram; the result equals a full run | +| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed without stale rows while the other containers' rows stay untouched; changed histogram bins recompute only the histogram; the result equals a full run | | `pipeline` | `e2e_pipeline` | Container event, per-container statistics, an RPM x speed heatmap and a calculated channel; the calculated channel's samples must give the same statistics as the StatsAggregator | | `container_filter` | `e2e_container_filter` | Baseline report on (`experiment_1` or `experiment_2`) and longer than 30 minutes; must equal those containers' `rpm_histogram` rows, with the containers selected independently in SQL | | `events` | `e2e_events` | Points-in-time, sequence and 5-minute window events with point values and window statistics; point events have zero length, windows tile each container | diff --git a/tests/e2e/e2e_incremental_updates.py b/tests/e2e/e2e_incremental_updates.py index dde1066c..1c5429ae 100644 --- a/tests/e2e/e2e_incremental_updates.py +++ b/tests/e2e/e2e_incremental_updates.py @@ -23,6 +23,7 @@ spark, versions, ) +from pyspark.testing import assertDataFrameEqual p = params() silver = copy_silver(p) @@ -44,6 +45,7 @@ # COMMAND ---------- # 2. Container 5 is re-ingested with only the first half of its samples. +before = versions(p, tables) mid = spark.sql( f"SELECT (start_ts + stop_ts) / 2 FROM {silver}container_metrics WHERE container_id = 5" ).first()[0] @@ -54,6 +56,14 @@ ) report.run() +# The other containers' rows must not be rewritten (same rows incl. _created_at). +for table, version in before.items(): + name = f"{p.catalog}.{p.schema}.{p.prefix}_{table}" + assertDataFrameEqual( + spark.sql(f"SELECT * FROM {name} WHERE container_id != 5"), + spark.sql(f"SELECT * FROM {name} VERSION AS OF {version} WHERE container_id != 5"), + ) + # COMMAND ---------- # 3. New histogram bins; the event is unchanged. diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py index 431911b1..0cab9948 100644 --- a/tests/e2e/e2e_utils.py +++ b/tests/e2e/e2e_utils.py @@ -158,8 +158,10 @@ def check(p, name, actual, expected_rows=None): try: if expected_rows is None: expected_rows = expected(p, name, actual.schema) - assertDataFrameEqual(actual, expected_rows, rtol=1e-9, maxErrors=10) - except (AssertionError, FileNotFoundError): + # Absolute tolerance only: a relative one would allow seconds of drift on epoch timestamps. + assertDataFrameEqual(actual, expected_rows, rtol=0, atol=1e-6, maxErrors=10) + except Exception: + # Also on a missing or outdated expected file (e.g. a new column). print(f"{name}: actual rows saved to {save_actual(p, name, actual)}") raise print(f"{name}: OK ({actual.count()} rows)") From 8b42b4d83a807d872ab915b390ab61b13b91fd6d Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 21 Oct 2026 12:41:49 +0200 Subject: [PATCH 13/18] feat(e2e): strengthen assertions across incremental, event, and histogram tests - Harden `e2e_events.py` to verify 5-minute windows tile each container without gaps or overlaps, and that `slow_down` point values have speed at most 100 and one value per channel. - Strengthen `e2e_incremental_updates.py` to compare against full reference runs after each change and assert histogram bins still cover event durations. - Tighten `e2e_incremental.py` to verify the second load leaves prior rows untouched and commits exactly one MERGE per batch of at most 15 containers. - Update `e2e_rpm_histogram.py` to assert persisted runs rewrite the same Delta tables in place and that the histogram covers event durations. - Add `assert_unchanged` and `assert_histogram_covers_events` helpers to `e2e_utils.py`. - Fix `e2e_pipeline.py` calculated-channel mean to ignore NaN samples in the duration denominator. - Refresh `tests/e2e/README.md` to describe the new assertions. --- tests/e2e/README.md | 10 ++--- tests/e2e/e2e_events.py | 50 +++++++++++++++++----- tests/e2e/e2e_incremental.py | 41 ++++++++++++++---- tests/e2e/e2e_incremental_updates.py | 62 ++++++++++++++++++---------- tests/e2e/e2e_pipeline.py | 5 ++- tests/e2e/e2e_rpm_histogram.py | 46 +++++++++++++++++---- tests/e2e/e2e_utils.py | 30 ++++++++++++++ 7 files changed, 191 insertions(+), 53 deletions(-) diff --git a/tests/e2e/README.md b/tests/e2e/README.md index 16964bbd..eff24dbf 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -9,12 +9,12 @@ The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this f | Task | Notebook | Checks | |---|---|---| | `setup` | `setup_schema` | Creates the schema, drops this job's schemas older than one day, checks the source data against `expected/containers.csv` | -| `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`): a compute-only run writes nothing and gives the expected histogram; two persisted runs update the gold tables in place | -| `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; must equal `rpm_histogram` | -| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed without stale rows while the other containers' rows stay untouched; changed histogram bins recompute only the histogram; the result equals a full run | +| `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`): a compute-only run writes nothing and gives the expected histogram and events; two persisted runs update the gold tables in place (same Delta table, new version); the histogram adds up to the event durations | +| `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; the second load leaves the first load's rows untouched and commits one MERGE per batch; must equal `rpm_histogram` | +| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed like a full run while the other containers' rows stay untouched; changed histogram bins recompute only the histogram, which still adds up to the event durations; the result equals a full run | | `pipeline` | `e2e_pipeline` | Container event, per-container statistics, an RPM x speed heatmap and a calculated channel; the calculated channel's samples must give the same statistics as the StatsAggregator | | `container_filter` | `e2e_container_filter` | Baseline report on (`experiment_1` or `experiment_2`) and longer than 30 minutes; must equal those containers' `rpm_histogram` rows, with the containers selected independently in SQL | -| `events` | `e2e_events` | Points-in-time, sequence and 5-minute window events with point values and window statistics; point events have zero length, windows tile each container | +| `events` | `e2e_events` | Points-in-time, sequence and 5-minute window events with point values and window statistics; point events have zero length; windows tile each container without gaps or overlaps; each slow_down has one value per channel, with speed at most 100 | | `teardown` | `teardown` | Drops the schema; runs only if all tests passed | | `fail_on_error` | `fail_on_error` | Fails the job run if `setup` or a test failed | @@ -36,7 +36,7 @@ The reports read the silver tables in `.` (bundle variab ## Expected results -`expected//
.csv` holds the expected gold rows of a test (without `_` bookkeeping columns). `incremental` and `container_filter` reuse `expected/rpm_histogram/`; `incremental_updates` compares with a full reference run instead of expected files. +`expected//
.csv` holds the expected gold rows of a test (without `_` bookkeeping columns). `incremental` and `container_filter` reuse `expected/rpm_histogram/`; `incremental_updates` compares with full reference runs instead of expected files. To refresh them after an intended change, run the job. On a mismatch, the test uploads its actual rows as CSV to `/actual//` and logs the path. Review them, then copy them into `expected/`. diff --git a/tests/e2e/e2e_events.py b/tests/e2e/e2e_events.py index 058289f3..69b72d15 100644 --- a/tests/e2e/e2e_events.py +++ b/tests/e2e/e2e_events.py @@ -9,6 +9,7 @@ import pyspark.sql.functions as F from e2e_utils import channel, check, config, event_ids, gold, new_report, params +from pyspark.sql import Window from impulse_reporting.aggregations.point_value_aggregator import PointValueAggregator from impulse_reporting.aggregations.stats_aggregator import StatsAggregator @@ -65,19 +66,46 @@ def instances(name): assert instances("fast_then_high_rpm").where("length <= 0").count() == 0, "empty sequences" assert instances("five_min").where("length > 300.000001").count() == 0, "windows over 5 min" -# The windows tile each container. -covered = instances("five_min").groupBy("container_id").agg(F.sum("length").alias("covered")) -durations = gold(p, "measurement_dimension").select( - "container_id", (F.col("stop_ts") - F.col("start_ts")).alias("duration") +# The windows tile each container: they start at its start, each starts where the previous +# ends, the last ends at its stop, and there are ceil(duration / 300) of them. +by_start = Window.partitionBy("container_id").orderBy("start_ts") +windows = instances("five_min").withColumn("prev_end", F.lag("end_ts").over(by_start)) +gaps = windows.where(F.abs(F.col("start_ts") - F.col("prev_end")) > 1e-6) +assert gaps.count() == 0, f"gaps or overlaps between windows: {gaps.take(5)}" + +containers = gold(p, "measurement_dimension").select("container_id", "start_ts", "stop_ts") +tiling = windows.groupBy("container_id").agg( + F.min("start_ts").alias("first"), F.max("end_ts").alias("last"), F.count("*").alias("n") ) -gaps = covered.join(durations, "container_id", "full").where( - F.abs(F.coalesce("covered", F.lit(0.0)) - F.col("duration")) > 1e-6 +bad = containers.join(tiling, "container_id", "left").where( + F.col("n").isNull() + | (F.abs(F.col("first") - F.col("start_ts")) > 1e-6) + | (F.abs(F.col("last") - F.col("stop_ts")) > 1e-6) + | (F.col("n") != F.ceil((F.col("stop_ts") - F.col("start_ts")) / 300)) ) -assert gaps.count() == 0, "windows don't cover the containers" - -# One value per point event and channel. -values = gold(p, "stats_aggregator_fact").where(F.col("aggregation_label") == "value") -assert values.count() == 2 * instances("slow_down").count(), "missing point values" +assert bad.count() == 0, f"windows don't tile the containers: {bad.take(5)}" + +# One value per point event and channel; speed has just dropped to 100 or below. +stats = gold(p, "stats_aggregator_fact") +values = stats.where(F.col("aggregation_label") == "value") +per_instance = ( + instances("slow_down") + .join(values, ["container_id", "event_instance_id"], "left") + .groupBy("event_instance_id", "channel_name") + .count() +) +assert per_instance.where("count != 1 OR channel_name IS NULL").count() == 0, "point values" +assert values.count() == 2 * instances("slow_down").count(), "point values of other events" +too_fast = values.where("channel_name = 'Vehicle Speed Sensor' AND statistic_value > 100") +assert too_fast.count() == 0, f"speed above 100 at slow_down: {too_fast.take(5)}" + +window_stats = ( + stats.join(instances("five_min").select("event_instance_id"), "event_instance_id", "semi") + .groupBy("event_instance_id") + .pivot("aggregation_label", ["mean", "max"]) + .agg(F.first("statistic_value")) +) +assert window_stats.where("mean > max + 1e-9").count() == 0, "window mean above its max" # COMMAND ---------- diff --git a/tests/e2e/e2e_incremental.py b/tests/e2e/e2e_incremental.py index ea936cfa..a3240e6d 100644 --- a/tests/e2e/e2e_incremental.py +++ b/tests/e2e/e2e_incremental.py @@ -2,13 +2,17 @@ # MAGIC %md # MAGIC # e2e: incremental # MAGIC Loads the source containers into a copy of the silver tables in two steps and runs the -# MAGIC baseline report incrementally after each, in batches of 15 containers. The result must -# MAGIC equal the full run in `expected/rpm_histogram`. +# MAGIC baseline report incrementally after each, in batches of 15 containers. The second load +# MAGIC must leave the first load's rows untouched and commit one batch at a time. The result +# MAGIC must equal the full run in `expected/rpm_histogram`. # COMMAND ---------- +import math + from e2e_utils import ( add_rpm_histogram, + assert_unchanged, check, config, copy_silver, @@ -17,28 +21,51 @@ load_silver, new_report, params, + spark, + versions, ) p = params() silver = copy_silver(p) +cap = 15 report = new_report( config( p, source=silver, incremental={"enabled": True}, - query_engine={"max_containers_per_batch": 15}, + query_engine={"max_containers_per_batch": cap}, ) ) add_rpm_histogram(report) +tables = ["histogram_fact", "event_instance_fact"] + +# COMMAND ---------- + +load_silver(p, silver, "container_id <= 40") +report.run() # COMMAND ---------- -for containers in ["container_id <= 40", "container_id > 40"]: - load_silver(p, silver, containers) - report.run() +before = versions(p, tables) +load_silver(p, silver, "container_id > 40") +report.run() + +# Only the new containers were processed. +assert_unchanged(p, before, "container_id <= 40") + +# One MERGE per batch of at most `cap` containers (10 histogram bins each). +new = spark.read.table(f"{silver}container_metrics").where("container_id > 40").count() +histogram = f"{p.catalog}.{p.schema}.{p.prefix}_histogram_fact" +# Other commits (e.g. OPTIMIZE by predictive optimization) don't count. +commits = spark.sql(f"DESCRIBE HISTORY {histogram}").where( + f"version > {before['histogram_fact']} AND operation = 'MERGE'" +) +assert commits.count() == math.ceil(new / cap), f"{commits.count()} batches for {new} containers" +inserted = commits.selectExpr("int(operationMetrics['numTargetRowsInserted']) AS n") +assert inserted.where(f"n > {cap * 10}").count() == 0, "a batch exceeds the cap" # COMMAND ---------- -for table in ["histogram_fact", "event_instance_fact"]: +for table in tables: actual = gold(p, table) check(p, table, actual, expected(p, table, actual.schema, test="rpm_histogram")) diff --git a/tests/e2e/e2e_incremental_updates.py b/tests/e2e/e2e_incremental_updates.py index 1c5429ae..7f8c7f7a 100644 --- a/tests/e2e/e2e_incremental_updates.py +++ b/tests/e2e/e2e_incremental_updates.py @@ -6,12 +6,15 @@ # MAGIC 2. removes half of container 5's samples: only that container is recomputed, # MAGIC 3. changes the histogram bins: only the histogram is recomputed. # MAGIC -# MAGIC The result must equal a full run of the final report on the final data. +# MAGIC After steps 2 and 3, the result must equal a full run of the report on the same data. # COMMAND ---------- +import pyspark.sql.functions as F from e2e_utils import ( add_rpm_histogram, + assert_histogram_covers_events, + assert_unchanged, check, config, copy_silver, @@ -29,6 +32,16 @@ silver = copy_silver(p) load_silver(p, silver, "true") incremental = {"enabled": True, "silver_last_modified_column": "last_modified"} +tables = ["histogram_fact", "event_instance_fact"] + + +def full_run(prefix, bin_width): + """A full run of the report on the current silver data, written to `_*`.""" + reference = new_report(config(p, source=silver, unity_sink={"table_prefix": prefix})) + add_rpm_histogram(reference, bin_width=bin_width) + reference.run() + return prefix + report = new_report(config(p, source=silver, incremental=incremental)) add_rpm_histogram(report) @@ -37,7 +50,6 @@ # COMMAND ---------- # 1. No changes: the fact tables must not be rewritten. -tables = ["histogram_fact", "event_instance_fact"] before = versions(p, tables) report.run() assert versions(p, tables) == before, "a run without changes rewrote fact tables" @@ -56,36 +68,42 @@ ) report.run() -# The other containers' rows must not be rewritten (same rows incl. _created_at). -for table, version in before.items(): - name = f"{p.catalog}.{p.schema}.{p.prefix}_{table}" - assertDataFrameEqual( - spark.sql(f"SELECT * FROM {name} WHERE container_id != 5"), - spark.sql(f"SELECT * FROM {name} VERSION AS OF {version} WHERE container_id != 5"), - ) +# The other containers' rows must not be rewritten (same rows incl. _created_at), and +# container 5's rows must be those of a full run. +assert_unchanged(p, before, "container_id != 5") +ref = full_run(f"{p.prefix}_ref500", bin_width=500) +for table in tables: + check(p, table, gold(p, table), gold(p, table, prefix=ref)) + +events = gold(p, "event_instance_fact").where("container_id = 5") +original = expected(p, "event_instance_fact", events.schema, test="rpm_histogram") +assert events.count() < original.where("container_id = 5").count(), "container 5 was not updated" +assert events.where(f"start_ts > {mid}").count() == 0, "container 5 has events after its end" # COMMAND ---------- # 3. New histogram bins; the event is unchanged. report = new_report(config(p, source=silver, incremental=incremental)) add_rpm_histogram(report, bin_width=250) -before = versions(p, ["histogram_fact", "event_instance_fact"]) +before = versions(p, tables) report.run() -after = versions(p, ["histogram_fact", "event_instance_fact"]) +after = versions(p, tables) assert after["histogram_fact"] > before["histogram_fact"], "histogram was not recomputed" assert after["event_instance_fact"] == before["event_instance_fact"], "event was rewritten" -# COMMAND ---------- +ref = full_run(f"{p.prefix}_ref", bin_width=250) +for table in tables: + check(p, table, gold(p, table), gold(p, table, prefix=ref)) -# Reference: a full run of the same report on the same data. -ref = f"{p.prefix}_ref" -reference = new_report(config(p, source=silver, unity_sink={"table_prefix": ref})) -add_rpm_histogram(reference, bin_width=250) -reference.run() +# The finer bins split the same durations: per container they add up to the events and, +# except for container 5, to the 500-rpm histogram of the original data. +histogram = gold(p, "histogram_fact") +assert_histogram_covers_events(histogram, gold(p, "event_instance_fact")) -for table in ["histogram_fact", "event_instance_fact"]: - check(p, table, gold(p, table), gold(p, table, prefix=ref)) -events = gold(p, "event_instance_fact").where("container_id = 5") -original = expected(p, "event_instance_fact", events.schema, test="rpm_histogram") -assert events.count() < original.where("container_id = 5").count(), "container 5 was not updated" +def totals(df): + return df.where("container_id != 5").groupBy("container_id").agg(F.sum("hist_value")) + + +original = expected(p, "histogram_fact", histogram.schema, test="rpm_histogram") +assertDataFrameEqual(totals(histogram), totals(original), rtol=0, atol=1e-5) diff --git a/tests/e2e/e2e_pipeline.py b/tests/e2e/e2e_pipeline.py index 4f48250c..b0befd70 100644 --- a/tests/e2e/e2e_pipeline.py +++ b/tests/e2e/e2e_pipeline.py @@ -101,7 +101,10 @@ def delta_stats(scoped): .groupBy(F.col("container_id").cast("long").alias("container_id")) .agg( F.min(value).alias("min"), - (F.sum(value * F.col("dur")) / F.sum("dur")).alias("mean"), + # NaN samples count neither towards the sum nor the duration. + (F.sum(value * F.col("dur")) / F.sum(F.when(value.isNotNull(), F.col("dur")))).alias( + "mean" + ), F.max(value).alias("max"), ) ) diff --git a/tests/e2e/e2e_rpm_histogram.py b/tests/e2e/e2e_rpm_histogram.py index 9b8ad834..e5d14405 100644 --- a/tests/e2e/e2e_rpm_histogram.py +++ b/tests/e2e/e2e_rpm_histogram.py @@ -2,29 +2,61 @@ # MAGIC %md # MAGIC # e2e: RPM histogram # MAGIC Runs the baseline report compute-only (nothing may be written), then twice with -# MAGIC persistence. The second run must update the gold tables in place. +# MAGIC persistence. The second run must update the gold tables in place. The histogram must +# MAGIC add up to the duration of the RPM events. # COMMAND ---------- -from e2e_utils import add_rpm_histogram, check, config, gold, new_report, params, spark - -from impulse_reporting.persist.fact_schema import HISTOGRAM_FACT_SCHEMA +from e2e_utils import ( + add_rpm_histogram, + assert_histogram_covers_events, + check, + config, + gold, + new_report, + params, + spark, + versions, +) + +from impulse_reporting.persist.fact_schema import ( + EVENT_INSTANCE_FACT_SCHEMA, + HISTOGRAM_FACT_SCHEMA, +) p = params() report = new_report(config(p)) add_rpm_histogram(report) +tables = ["histogram_fact", "event_instance_fact"] # COMMAND ---------- report.run(persist_results=False) -tables = spark.sql(f"SHOW TABLES IN {p.catalog}.{p.schema} LIKE '{p.prefix}_*'").collect() -assert not tables, f"compute-only run wrote tables: {[t.tableName for t in tables]}" +written = spark.sql(f"SHOW TABLES IN {p.catalog}.{p.schema} LIKE '{p.prefix}_*'").collect() +assert not written, f"compute-only run wrote tables: {[t.tableName for t in written]}" histogram = report.aggregation_dfs["HISTOGRAM"]["changed"] check(p, "histogram_fact", histogram.select(HISTOGRAM_FACT_SCHEMA.fieldNames())) +events = report.event_dfs["BASIC_EVENT"]["changed"] +check(p, "event_instance_fact", events.select(EVENT_INSTANCE_FACT_SCHEMA.fieldNames())) # COMMAND ---------- + +def table_ids(): + """Delta table ids, which change if a table is dropped and recreated.""" + return { + t: spark.sql(f"DESCRIBE DETAIL {p.catalog}.{p.schema}.{p.prefix}_{t}").first().id + for t in tables + } + + report.run() +ids, before = table_ids(), versions(p, tables) report.run() -for table in ["histogram_fact", "event_instance_fact"]: +assert table_ids() == ids, "the second run recreated gold tables" +after = versions(p, tables) +assert all(after[t] > before[t] for t in tables), f"not rewritten: {before} -> {after}" + +for table in tables: check(p, table, gold(p, table)) +assert_histogram_covers_events(gold(p, "histogram_fact"), gold(p, "event_instance_fact")) diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py index 0cab9948..812af916 100644 --- a/tests/e2e/e2e_utils.py +++ b/tests/e2e/e2e_utils.py @@ -120,6 +120,36 @@ def versions(p, tables): } +def assert_unchanged(p, before, where): + """The rows matching `where` (incl. _created_at) equal those at the versions in `before`.""" + for table, version in before.items(): + name = f"{p.catalog}.{p.schema}.{p.prefix}_{table}" + assertDataFrameEqual( + spark.sql(f"SELECT * FROM {name} WHERE {where}"), + spark.sql(f"SELECT * FROM {name} VERSION AS OF {version} WHERE {where}"), + ) + + +def assert_histogram_covers_events(histogram, events): + """Per container, the RPM histogram adds up to the duration of its event's instances, + and the bins up to the event threshold (2000 rpm) are empty.""" + assert ( + histogram.where("upper_bound <= 2000 AND hist_value != 0").count() == 0 + ), "histogram values below the event threshold" + keys = ["container_id", "event_id"] + totals = histogram.groupBy(keys).agg(F.sum("hist_value").alias("hist")) + durations = ( + events.join(histogram.select("event_id").distinct(), "event_id", "semi") + .groupBy(keys) + .agg(F.sum(F.col("end_ts") - F.col("start_ts")).alias("dur")) + ) + # Containers without events still have (empty) histogram rows. + diff = totals.join(durations, keys, "full").where( + F.abs(F.coalesce("hist", F.lit(0.0)) - F.coalesce("dur", F.lit(0.0))) > 1e-5 + ) + assert diff.count() == 0, f"histogram doesn't match event durations: {diff.take(5)}" + + def event_ids(p): rows = gold(p, "event_dimension").select("event_name", "event_id").collect() return {r.event_name: r.event_id for r in rows} From d8b08c6ece44ed601d773070e3c2ee4d040a2403 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 21 Oct 2026 13:00:42 +0200 Subject: [PATCH 14/18] fix(e2e): align calculated-channel mean with StatsAggregator NaN handling Update `e2e_pipeline.py` so NaN samples contribute zero to the weighted sum while their duration still counts in the denominator, matching the `StatsAggregator` behavior (`nansum(v * d) / nansum(d)`). --- tests/e2e/e2e_pipeline.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/tests/e2e/e2e_pipeline.py b/tests/e2e/e2e_pipeline.py index b0befd70..15c090a8 100644 --- a/tests/e2e/e2e_pipeline.py +++ b/tests/e2e/e2e_pipeline.py @@ -101,10 +101,9 @@ def delta_stats(scoped): .groupBy(F.col("container_id").cast("long").alias("container_id")) .agg( F.min(value).alias("min"), - # NaN samples count neither towards the sum nor the duration. - (F.sum(value * F.col("dur")) / F.sum(F.when(value.isNotNull(), F.col("dur")))).alias( - "mean" - ), + # Like StatsAggregator (nansum(v * d) / nansum(d)): NaN samples add nothing to the sum + # but their duration counts. + (F.sum(value * F.col("dur")) / F.sum("dur")).alias("mean"), F.max(value).alias("max"), ) ) From b235483b00d0280cd83766918facac14f0c0bd95 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 21 Oct 2026 14:39:06 +0200 Subject: [PATCH 15/18] fix(e2e): remove redundant fail_on_error task and simplify incremental update assertions - Drop the `fail_on_error` task from `resources/e2e_job.yml`; teardown already ends as "upstream failed" when a test fails, which fails the job run and preserves the schema for debugging. - Remove `tests/e2e/fail_on_error.py`. - Simplify `e2e_incremental_updates.py` by removing the intermediate full-run reference after container re-ingestion; instead assert the recomputed histogram covers the container's new events, and keep only the final full-run comparison. - Minor cleanups: extract `batches` variable in `e2e_incremental.py`, clarify comments in `e2e_utils.py` and `e2e_job.yml`, and update `tests/e2e/README.md` accordingly. --- resources/e2e_job.yml | 11 ++--------- tests/e2e/README.md | 7 +++---- tests/e2e/e2e_incremental.py | 3 ++- tests/e2e/e2e_incremental_updates.py | 24 ++++++++++-------------- tests/e2e/e2e_utils.py | 3 ++- tests/e2e/fail_on_error.py | 8 -------- 6 files changed, 19 insertions(+), 37 deletions(-) delete mode 100644 tests/e2e/fail_on_error.py diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index bb3e229e..50a18f08 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -57,7 +57,8 @@ resources: depends_on: [{task_key: setup}] notebook_task: {notebook_path: ../tests/e2e/e2e_events.py, base_parameters: *params} - # Runs only when all tests passed. + # Runs only when all tests passed. Otherwise it ends as "upstream failed", which fails + # the job run, and the schema is kept for debugging. - task_key: teardown environment_key: e2e_env disable_auto_optimization: true @@ -70,14 +71,6 @@ resources: - {task_key: events} notebook_task: {notebook_path: ../tests/e2e/teardown.py, base_parameters: *params} - # Fails the run when setup or a test failed. - - task_key: fail_on_error - environment_key: e2e_env - disable_auto_optimization: true - depends_on: [{task_key: setup}, {task_key: rpm_histogram}, {task_key: incremental}, {task_key: pipeline}, {task_key: container_filter}, {task_key: incremental_updates}, {task_key: events}] - run_if: AT_LEAST_ONE_FAILED - notebook_task: {notebook_path: ../tests/e2e/fail_on_error.py} - environments: - environment_key: e2e_env spec: diff --git a/tests/e2e/README.md b/tests/e2e/README.md index eff24dbf..ba0d5b19 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -11,12 +11,11 @@ The job is defined in `resources/e2e_job.yml`. Each task is a notebook in this f | `setup` | `setup_schema` | Creates the schema, drops this job's schemas older than one day, checks the source data against `expected/containers.csv` | | `rpm_histogram` | `e2e_rpm_histogram` | Baseline report (event `Engine RPM > 2000`, duration histogram of `Engine RPM`): a compute-only run writes nothing and gives the expected histogram and events; two persisted runs update the gold tables in place (same Delta table, new version); the histogram adds up to the event durations | | `incremental` | `e2e_incremental` | Baseline report on a silver copy that receives the containers in two loads, run incrementally in batches of 15; the second load leaves the first load's rows untouched and commits one MERGE per batch; must equal `rpm_histogram` | -| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed like a full run while the other containers' rows stay untouched; changed histogram bins recompute only the histogram, which still adds up to the event durations; the result equals a full run | +| `incremental_updates` | `e2e_incremental_updates` | A rerun without changes rewrites no fact table; a re-ingested container (half its samples) is recomputed, its histogram matching its new events, while the other containers' rows stay untouched; changed histogram bins recompute only the histogram, which still adds up to the event durations; the result equals a full run | | `pipeline` | `e2e_pipeline` | Container event, per-container statistics, an RPM x speed heatmap and a calculated channel; the calculated channel's samples must give the same statistics as the StatsAggregator | | `container_filter` | `e2e_container_filter` | Baseline report on (`experiment_1` or `experiment_2`) and longer than 30 minutes; must equal those containers' `rpm_histogram` rows, with the containers selected independently in SQL | | `events` | `e2e_events` | Points-in-time, sequence and 5-minute window events with point values and window statistics; point events have zero length; windows tile each container without gaps or overlaps; each slow_down has one value per channel, with speed at most 100 | -| `teardown` | `teardown` | Drops the schema; runs only if all tests passed | -| `fail_on_error` | `fail_on_error` | Fails the job run if `setup` or a test failed | +| `teardown` | `teardown` | Drops the schema; runs only if all tests passed, otherwise it ends as upstream failed, which fails the job run | Shared code (report config, baseline report, comparison) is in `e2e_utils.py`. When a test fails, its schema is kept for debugging. @@ -42,4 +41,4 @@ To refresh them after an intended change, run the job. On a mismatch, the test u ## Adding a test -Add a notebook `e2e_.py` that builds a report with `config(p)` and `new_report(...)` from `e2e_utils`, runs it, and calls `check(p, table, gold(p, table))`. Add a task `` to the job and to the `depends_on` of `teardown` and `fail_on_error`. The first run fails and uploads the actual rows; review them and save them as `expected//`. +Add a notebook `e2e_.py` that builds a report with `config(p)` and `new_report(...)` from `e2e_utils`, runs it, and calls `check(p, table, gold(p, table))`. Add a task `` to the job and to the `depends_on` of `teardown`. The first run fails and uploads the actual rows; review them and save them as `expected//`. diff --git a/tests/e2e/e2e_incremental.py b/tests/e2e/e2e_incremental.py index a3240e6d..332978d7 100644 --- a/tests/e2e/e2e_incremental.py +++ b/tests/e2e/e2e_incremental.py @@ -60,7 +60,8 @@ commits = spark.sql(f"DESCRIBE HISTORY {histogram}").where( f"version > {before['histogram_fact']} AND operation = 'MERGE'" ) -assert commits.count() == math.ceil(new / cap), f"{commits.count()} batches for {new} containers" +batches = commits.count() +assert batches == math.ceil(new / cap), f"{batches} batches for {new} containers" inserted = commits.selectExpr("int(operationMetrics['numTargetRowsInserted']) AS n") assert inserted.where(f"n > {cap * 10}").count() == 0, "a batch exceeds the cap" diff --git a/tests/e2e/e2e_incremental_updates.py b/tests/e2e/e2e_incremental_updates.py index 7f8c7f7a..20ca8ef1 100644 --- a/tests/e2e/e2e_incremental_updates.py +++ b/tests/e2e/e2e_incremental_updates.py @@ -6,7 +6,7 @@ # MAGIC 2. removes half of container 5's samples: only that container is recomputed, # MAGIC 3. changes the histogram bins: only the histogram is recomputed. # MAGIC -# MAGIC After steps 2 and 3, the result must equal a full run of the report on the same data. +# MAGIC The result must equal a full run of the final report on the final data. # COMMAND ---------- @@ -35,14 +35,6 @@ tables = ["histogram_fact", "event_instance_fact"] -def full_run(prefix, bin_width): - """A full run of the report on the current silver data, written to `_*`.""" - reference = new_report(config(p, source=silver, unity_sink={"table_prefix": prefix})) - add_rpm_histogram(reference, bin_width=bin_width) - reference.run() - return prefix - - report = new_report(config(p, source=silver, incremental=incremental)) add_rpm_histogram(report) report.run() @@ -69,11 +61,10 @@ def full_run(prefix, bin_width): report.run() # The other containers' rows must not be rewritten (same rows incl. _created_at), and -# container 5's rows must be those of a full run. +# container 5's histogram must match its new events. Step 3 keeps the events, so the full +# run at the end also checks them. assert_unchanged(p, before, "container_id != 5") -ref = full_run(f"{p.prefix}_ref500", bin_width=500) -for table in tables: - check(p, table, gold(p, table), gold(p, table, prefix=ref)) +assert_histogram_covers_events(gold(p, "histogram_fact"), gold(p, "event_instance_fact")) events = gold(p, "event_instance_fact").where("container_id = 5") original = expected(p, "event_instance_fact", events.schema, test="rpm_histogram") @@ -91,7 +82,12 @@ def full_run(prefix, bin_width): assert after["histogram_fact"] > before["histogram_fact"], "histogram was not recomputed" assert after["event_instance_fact"] == before["event_instance_fact"], "event was rewritten" -ref = full_run(f"{p.prefix}_ref", bin_width=250) +# Reference: a full run of the same report on the same data. +ref = f"{p.prefix}_ref" +reference = new_report(config(p, source=silver, unity_sink={"table_prefix": ref})) +add_rpm_histogram(reference, bin_width=250) +reference.run() + for table in tables: check(p, table, gold(p, table), gold(p, table, prefix=ref)) diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py index 812af916..10e039f6 100644 --- a/tests/e2e/e2e_utils.py +++ b/tests/e2e/e2e_utils.py @@ -59,7 +59,8 @@ def config(p, source=None, **extra): def new_report(cfg): report = Report(name="e2e_report", spark=spark, workspace_client=ws, config=cfg) - # Tests run in parallel in one schema: don't drop the other runs' temp tables. + # Tests run in parallel in one schema: don't drop the other runs' temp tables. Every run + # drops them at its start, whatever `unity_sink.cleanup_temp_tables` says. report._cleanup_temp_tables = lambda: None return report diff --git a/tests/e2e/fail_on_error.py b/tests/e2e/fail_on_error.py deleted file mode 100644 index 5033e998..00000000 --- a/tests/e2e/fail_on_error.py +++ /dev/null @@ -1,8 +0,0 @@ -# Databricks notebook source -# MAGIC %md -# MAGIC # e2e: fail on error -# MAGIC Runs only when an earlier step failed, and fails the job run. - -# COMMAND ---------- - -raise RuntimeError("An e2e step failed; see the failed task run.") From 18d8e8345304f5117f8d0d2bb7460808516422b1 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 21 Oct 2026 15:07:11 +0200 Subject: [PATCH 16/18] feat(e2e): deploy isolated bundle per PR and clean up on close - Add `suffix` bundle variable to `databricks.yml` and use it in the workspace root path. - Append `suffix` to the e2e job name in `resources/e2e_job.yml`. - Trigger `e2e.yml` on PRs into main, nightly, and on demand; use per-PR bundle/job copies via `BUNDLE_VAR_suffix` so PRs run in parallel. - Add a `destroy` job to remove the PR's bundle when the PR is closed. - Skip fork PRs in CI; document mirroring them with `make fork-sync PR=`. - Update `tests/e2e/README.md` to describe the new CI behavior. --- .github/workflows/e2e.yml | 46 ++++++++++++++++++++++++++++++++++----- databricks.yml | 5 +++++ resources/e2e_job.yml | 2 +- tests/e2e/README.md | 4 +++- 4 files changed, 50 insertions(+), 7 deletions(-) diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 23340cab..9ade95b4 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -1,7 +1,12 @@ name: e2e -# End-to-end tests on Databricks serverless (see databricks.yml). Nightly and on demand. +# End-to-end tests on Databricks serverless (see databricks.yml). On PRs into main, nightly +# and on demand. on: + pull_request: + branches: [main] + # `closed` removes the PR's bundle. + types: [opened, synchronize, reopened, ready_for_review, closed] schedule: # 04:00 UTC daily. - cron: "0 4 * * *" @@ -10,15 +15,24 @@ on: permissions: contents: read -# All runs deploy to the same bundle and job, so they queue instead of cancelling each -# other (cancelling would stop only the CLI, not the job run). +# Each PR deploys its own copy of the bundle and job (the suffix names its bundle root), so +# PRs run in parallel. A new push replaces the PR's running check; nightly and manual runs +# share the default bundle and queue. concurrency: - group: ${{ github.workflow }} - cancel-in-progress: false + group: ${{ github.workflow }}-${{ github.event.pull_request.number || 'default' }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + +env: + BUNDLE_VAR_suffix: ${{ github.event.pull_request.number && format('-pr-{0}', github.event.pull_request.number) || '' }} jobs: e2e: name: E2E on Databricks (serverless) + # Fork PRs get no secrets; mirror them with `make fork-sync PR=` (see acceptance.yml). + if: >- + github.event.action != 'closed' + && !github.event.pull_request.draft + && !github.event.pull_request.head.repo.fork runs-on: group: databrickslabs-protected-runner-group labels: linux-ubuntu-latest @@ -63,3 +77,25 @@ jobs: run: | job_id=$(databricks bundle summary -t e2e -o json | jq -r '.resources.jobs.e2e_tests.id') databricks jobs cancel-all-runs --job-id "$job_id" + + # The PR's bundle is kept while the PR is open, so failed runs can be inspected. + destroy: + name: Remove the PR's e2e bundle + if: github.event.action == 'closed' && !github.event.pull_request.head.repo.fork + runs-on: + group: databrickslabs-protected-runner-group + labels: linux-ubuntu-latest + environment: e2e + env: + DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }} + DATABRICKS_CLIENT_ID: ${{ secrets.DATABRICKS_CLIENT_ID }} + DATABRICKS_CLIENT_SECRET: ${{ secrets.DATABRICKS_CLIENT_SECRET }} + DATABRICKS_AUTH_TYPE: oauth-m2m + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + + - name: Install Databricks CLI + uses: databricks/setup-cli@8821c27b1fe57472264eeb6e50c1f31d69552f28 # v1.10.0 + + - name: Destroy bundle + run: databricks bundle destroy -t e2e --auto-approve diff --git a/databricks.yml b/databricks.yml index be5ec6bd..6664873b 100644 --- a/databricks.yml +++ b/databricks.yml @@ -19,9 +19,14 @@ variables: source_schema: description: Schema under `catalog` with the silver test data (read-only). default: default + suffix: + description: Suffix of the bundle root and job name, so each PR deploys its own copy. + default: "" targets: # Workspace host and auth come from the environment. e2e: default: true mode: development + workspace: + root_path: ~/.bundle/${bundle.name}/${bundle.target}${var.suffix} diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 50a18f08..41391a88 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -1,7 +1,7 @@ resources: jobs: e2e_tests: - name: "impulse e2e tests" + name: "impulse e2e tests${var.suffix}" timeout_seconds: 3600 max_concurrent_runs: 1 diff --git a/tests/e2e/README.md b/tests/e2e/README.md index ba0d5b19..dc39d69e 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -25,7 +25,9 @@ Shared code (report config, baseline report, comparison) is in `e2e_utils.py`. W make test-e2e ``` -This deploys the bundle (`databricks.yml`) and runs the job. It needs the Databricks CLI and workspace authentication. CI runs it nightly via `.github/workflows/e2e.yml`. +This deploys the bundle (`databricks.yml`) and runs the job. It needs the Databricks CLI and workspace authentication. + +CI runs it via `.github/workflows/e2e.yml` on every push to a PR into main, nightly and on demand. Each PR deploys its own copy of the bundle and job (bundle variable `suffix`, e.g. `-pr-123`), which is removed when the PR is closed. Fork PRs are skipped; mirror them with `make fork-sync PR=`. ## Input data From 3e8a0c2ea9828dd3862946555953f70032d8c3a9 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 28 Oct 2026 11:24:40 +0100 Subject: [PATCH 17/18] fix(e2e): split source/sink catalogs, version wheel per deploy, harden history checks - Read silver data from `source_catalog`; create test schemas in `catalog` (impulse_tests_catalog). - Set `dynamic_version` on the wheel artifact so serverless installs each deploy's code. - Add `commits_since`, which ignores maintenance commits, for the rewrite checks. - Load expected files inside `check` so a missing or outdated file still uploads actual rows. Co-authored-by: Isaac --- databricks.yml | 7 +++++- resources/e2e_job.yml | 1 + tests/e2e/README.md | 2 +- tests/e2e/e2e_container_filter.py | 6 ++--- tests/e2e/e2e_incremental.py | 12 ++++------ tests/e2e/e2e_incremental_updates.py | 10 +++++---- tests/e2e/e2e_rpm_histogram.py | 5 +++-- tests/e2e/e2e_utils.py | 33 +++++++++++++++++++++++----- tests/e2e/setup_schema.py | 4 ++-- 9 files changed, 53 insertions(+), 27 deletions(-) diff --git a/databricks.yml b/databricks.yml index 6664873b..348d8408 100644 --- a/databricks.yml +++ b/databricks.yml @@ -8,6 +8,8 @@ artifacts: # Clean first so the dist/*.whl glob in resources/e2e_job.yml matches one wheel. build: rm -rf dist && uv build --wheel path: . + # Version the wheel by build time, so serverless installs every deploy's code. + dynamic_version: true include: - resources/*.yml @@ -15,9 +17,12 @@ include: variables: catalog: description: Catalog for the ephemeral test schemas. + default: impulse_tests_catalog + source_catalog: + description: Catalog with the silver test data (read-only). default: maxim_catalog source_schema: - description: Schema under `catalog` with the silver test data (read-only). + description: Schema under `source_catalog` with the silver test data (read-only). default: default suffix: description: Suffix of the bundle root and job name, so each PR deploys its own copy. diff --git a/resources/e2e_job.yml b/resources/e2e_job.yml index 41391a88..84d5678a 100644 --- a/resources/e2e_job.yml +++ b/resources/e2e_job.yml @@ -14,6 +14,7 @@ resources: base_parameters: ¶ms catalog: ${var.catalog} schema: e2e_{{job.run_id}} + source_catalog: ${var.source_catalog} source_schema: ${var.source_schema} # Each test writes its tables with this prefix and reads expected//. prefix: "{{task.name}}" diff --git a/tests/e2e/README.md b/tests/e2e/README.md index dc39d69e..de7eabfc 100644 --- a/tests/e2e/README.md +++ b/tests/e2e/README.md @@ -31,7 +31,7 @@ CI runs it via `.github/workflows/e2e.yml` on every push to a PR into main, nigh ## Input data -The reports read the silver tables in `.` (bundle variables in `databricks.yml`). They were created from MF4 files with the [Impulse MF4 ingest solution accelerator](https://github.com/databricks-industry-solutions/impulse-mf4-ingest). +The reports read the silver tables in `.` (bundle variables in `databricks.yml`) and write to temporary schemas in ``. They were created from MF4 files with the [Impulse MF4 ingest solution accelerator](https://github.com/databricks-industry-solutions/impulse-mf4-ingest). `expected/containers.csv` lists the MF4 file (`experiment_id` folder and `filename`) behind each container id. Use it to rebuild the silver layer from scratch with the accelerator. If the rebuild assigns different container ids, refresh the expected files. diff --git a/tests/e2e/e2e_container_filter.py b/tests/e2e/e2e_container_filter.py index e34a494a..97ea6e1f 100644 --- a/tests/e2e/e2e_container_filter.py +++ b/tests/e2e/e2e_container_filter.py @@ -8,7 +8,7 @@ # COMMAND ---------- import pyspark.sql.functions as F -from e2e_utils import add_rpm_histogram, check, config, expected, gold, new_report, params, spark +from e2e_utils import add_rpm_histogram, check, config, gold, new_report, params, spark p = params() experiments = ["experiment_1", "experiment_2"] @@ -38,6 +38,4 @@ assert 0 < len(ids) < all_ids, f"filter selects {len(ids)} of {all_ids} containers" for table in ["histogram_fact", "event_instance_fact"]: - actual = gold(p, table) - rows = expected(p, table, actual.schema, test="rpm_histogram") - check(p, table, actual, rows.where(F.col("container_id").isin(ids))) + check(p, table, gold(p, table), test="rpm_histogram", where=F.col("container_id").isin(ids)) diff --git a/tests/e2e/e2e_incremental.py b/tests/e2e/e2e_incremental.py index 332978d7..9bf820b9 100644 --- a/tests/e2e/e2e_incremental.py +++ b/tests/e2e/e2e_incremental.py @@ -14,9 +14,9 @@ add_rpm_histogram, assert_unchanged, check, + commits_since, config, copy_silver, - expected, gold, load_silver, new_report, @@ -55,11 +55,8 @@ # One MERGE per batch of at most `cap` containers (10 histogram bins each). new = spark.read.table(f"{silver}container_metrics").where("container_id > 40").count() -histogram = f"{p.catalog}.{p.schema}.{p.prefix}_histogram_fact" -# Other commits (e.g. OPTIMIZE by predictive optimization) don't count. -commits = spark.sql(f"DESCRIBE HISTORY {histogram}").where( - f"version > {before['histogram_fact']} AND operation = 'MERGE'" -) +commits = commits_since(p, "histogram_fact", before["histogram_fact"]) +assert commits.where("operation != 'MERGE'").count() == 0, "a batch is not a single MERGE" batches = commits.count() assert batches == math.ceil(new / cap), f"{batches} batches for {new} containers" inserted = commits.selectExpr("int(operationMetrics['numTargetRowsInserted']) AS n") @@ -68,5 +65,4 @@ # COMMAND ---------- for table in tables: - actual = gold(p, table) - check(p, table, actual, expected(p, table, actual.schema, test="rpm_histogram")) + check(p, table, gold(p, table), test="rpm_histogram") diff --git a/tests/e2e/e2e_incremental_updates.py b/tests/e2e/e2e_incremental_updates.py index 20ca8ef1..7ca70bdf 100644 --- a/tests/e2e/e2e_incremental_updates.py +++ b/tests/e2e/e2e_incremental_updates.py @@ -16,6 +16,7 @@ assert_histogram_covers_events, assert_unchanged, check, + commits_since, config, copy_silver, expected, @@ -44,7 +45,8 @@ # 1. No changes: the fact tables must not be rewritten. before = versions(p, tables) report.run() -assert versions(p, tables) == before, "a run without changes rewrote fact tables" +rewritten = [t for t in tables if commits_since(p, t, before[t]).count()] +assert not rewritten, f"a run without changes rewrote fact tables: {rewritten}" # COMMAND ---------- @@ -78,9 +80,9 @@ add_rpm_histogram(report, bin_width=250) before = versions(p, tables) report.run() -after = versions(p, tables) -assert after["histogram_fact"] > before["histogram_fact"], "histogram was not recomputed" -assert after["event_instance_fact"] == before["event_instance_fact"], "event was rewritten" +commits = {t: commits_since(p, t, before[t]).count() for t in tables} +assert commits["histogram_fact"] > 0, "histogram was not recomputed" +assert commits["event_instance_fact"] == 0, "event was rewritten" # Reference: a full run of the same report on the same data. ref = f"{p.prefix}_ref" diff --git a/tests/e2e/e2e_rpm_histogram.py b/tests/e2e/e2e_rpm_histogram.py index e5d14405..86e4c651 100644 --- a/tests/e2e/e2e_rpm_histogram.py +++ b/tests/e2e/e2e_rpm_histogram.py @@ -11,6 +11,7 @@ add_rpm_histogram, assert_histogram_covers_events, check, + commits_since, config, gold, new_report, @@ -54,8 +55,8 @@ def table_ids(): ids, before = table_ids(), versions(p, tables) report.run() assert table_ids() == ids, "the second run recreated gold tables" -after = versions(p, tables) -assert all(after[t] > before[t] for t in tables), f"not rewritten: {before} -> {after}" +not_rewritten = [t for t in tables if not commits_since(p, t, before[t]).count()] +assert not not_rewritten, f"not rewritten: {not_rewritten}" for table in tables: check(p, table, gold(p, table)) diff --git a/tests/e2e/e2e_utils.py b/tests/e2e/e2e_utils.py index 10e039f6..1d07372b 100644 --- a/tests/e2e/e2e_utils.py +++ b/tests/e2e/e2e_utils.py @@ -31,9 +31,17 @@ def params(): """Task parameters. `prefix` is the task name and names the test's tables and expected files.""" - names = ["catalog", "schema", "source_schema", "prefix", "expected_dir", "actual_dir"] + names = [ + "catalog", + "schema", + "source_catalog", + "source_schema", + "prefix", + "expected_dir", + "actual_dir", + ] p = SimpleNamespace(**{n: dbutils.widgets.get(n) for n in names}) - p.source = f"{p.catalog}.{p.source_schema}." + p.source = f"{p.source_catalog}.{p.source_schema}." return p @@ -121,6 +129,18 @@ def versions(p, tables): } +# Commits by predictive optimization and other table maintenance. +MAINTENANCE_OPERATIONS = ["OPTIMIZE", "VACUUM START", "VACUUM END"] + + +def commits_since(p, table, version): + """History of this test's gold `table` after `version`, without maintenance commits.""" + name = f"{p.catalog}.{p.schema}.{p.prefix}_{table}" + return spark.sql(f"DESCRIBE HISTORY {name}").where( + (F.col("version") > version) & ~F.col("operation").isin(MAINTENANCE_OPERATIONS) + ) + + def assert_unchanged(p, before, where): """The rows matching `where` (incl. _created_at) equal those at the versions in `before`.""" for table, version in before.items(): @@ -181,14 +201,17 @@ def save_actual(p, name, df): return path -def check(p, name, actual, expected_rows=None): - """Compare `actual` with `expected_rows` (default: this test's expected file). +def check(p, name, actual, expected_rows=None, test=None, where=None): + """Compare `actual` with `expected_rows` (default: the expected file of `test`, by default + this one, filtered by the `where` condition if given). On a mismatch the actual rows are uploaded as CSV, so the expected file can be refreshed. """ try: if expected_rows is None: - expected_rows = expected(p, name, actual.schema) + expected_rows = expected(p, name, actual.schema, test) + if where is not None: + expected_rows = expected_rows.where(where) # Absolute tolerance only: a relative one would allow seconds of drift on epoch timestamps. assertDataFrameEqual(actual, expected_rows, rtol=0, atol=1e-6, maxErrors=10) except Exception: diff --git a/tests/e2e/setup_schema.py b/tests/e2e/setup_schema.py index 66043619..d0543346 100644 --- a/tests/e2e/setup_schema.py +++ b/tests/e2e/setup_schema.py @@ -7,7 +7,7 @@ # COMMAND ---------- import pyspark.sql.functions as F -from e2e_utils import check, expected, params, spark +from e2e_utils import check, params, spark p = params() spark.sql(f"CREATE SCHEMA {p.catalog}.{p.schema}") @@ -31,4 +31,4 @@ .pivot("key", ["experiment_id", "filename"]) .agg(F.first("value")) ) -check(p, "containers", containers, expected(p, "containers", containers.schema, test="")) +check(p, "containers", containers, test="") From 5d51a659111f9b6f5bdd39347e55de056feccb09 Mon Sep 17 00:00:00 2001 From: "tom.bonfert" Date: Wed, 28 Oct 2026 11:27:28 +0100 Subject: [PATCH 18/18] fix(e2e): create test schemas in maxim_catalog Keep source and sink catalogs as separate variables, both defaulting to maxim_catalog. Co-authored-by: Isaac --- databricks.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/databricks.yml b/databricks.yml index 348d8408..28afa565 100644 --- a/databricks.yml +++ b/databricks.yml @@ -17,7 +17,7 @@ include: variables: catalog: description: Catalog for the ephemeral test schemas. - default: impulse_tests_catalog + default: maxim_catalog source_catalog: description: Catalog with the silver test data (read-only). default: maxim_catalog