feat(sinks): add new databricks_zerobus for Databricks ingestion by flaviofcruz · Pull Request #24840 · vectordotdev/vector

flaviofcruz · 2026-03-03T23:42:49Z

Summary

Databricks provides a Zerobus ingest connector [1], a push based API that writes data directly into Unity Catalog Delta tables. This PR introduces a new vector sink that integrates with Databricks, allowing Vector to push data into Databricks. We use the Databricks provided SDK to implement the sink [2].

Zerobus supports row level ingestion and that's we do here. Zerobus also has arrow batch in experimental mode but we didn't add support for it. We will swap the row level ingestion once it becomes stable and that will be the future default.

With row based ingestion, we extended the BatchSerializerConfig to support a batch serializer that creates vector's of protocol buffer bytes. This makes it the second option for doing batch serialization, along arrow batch.

Users do not have to specify the schema at all, we will fetch the schema for them from Unity Catalog and then use on the API. If users want to do schema changes, they should update their table as needed. We don't have a lot of support for dynamic schema changes at the moment.

Vector configuration

[sinks.databricks_zerobus]
type = "databricks_zerobus"
inputs = ["logs"]
ingestion_endpoint = "https://91041497925470.zerobus.us-west-2.cloud.databricks.com"
table_name = "main.default.zerobus_table"
unity_catalog_endpoint = "https://logfood-us-west-2-mt.cloud.databricks.com/"
[sinks.databricks_zerobus.auth]
strategy = "oauth"
client_id = "<client id>"
client_secret = "<secret>"

How did you test this PR?

Unit tests, running small toy examples and using it in production for actual traffic.

Change Type

Is this a breaking change?

Yes
No

Does this PR include user facing changes?

Yes. Please add a changelog fragment based on our guidelines.
No. A maintainer will apply the no-changelog label to this PR.

References

[1] https://docs.databricks.com/aws/en/ingestion/zerobus-overview
[2] https://github.com/databricks/zerobus-sdk

Notes

Please read our Vector contributor resources.
Do not hesitate to use @vectordotdev/vector to reach out to us regarding this PR.
Some CI checks run only after we manually approve them.
- We recommend adding a pre-push hook, please see this template.
- Alternatively, we recommend running the following locally before pushing to the remote branch:
  - make fmt
  - make check-clippy (if there are failures it's possible some of them can be fixed with make clippy-fix)
  - make test
After a review is requested, please avoid force pushes to help us review incrementally.
- Feel free to push as many commits as you want. They will be squashed into one before merging.
- For example, you can run git merge origin master and git push.
If this PR introduces changes Vector dependencies (modifies Cargo.lock), please
run make build-licenses to regenerate the license inventory and commit the changes (if any). More details here.

pront · 2026-04-03T15:46:15Z

Thanks @flaviofcruz for this new integration! Apologies for the slow review on this one.

@codex review

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github-actions · 2026-04-10T17:11:01Z

All contributors have signed the CLA ✍️ ✅
_{Posted by the CLA Assistant Lite bot.}

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pront · 2026-04-10T18:03:25Z

FYI I am waiting for @hsuanyi to sign the CLA (see comment) before reviewing this further. Also, there is an resolved review comment.

pront · 2026-04-13T19:01:34Z

FYI I am waiting for @hsuanyi to sign the CLA (see comment) before reviewing this further. Also, there is an resolved review comment.

@flaviofcruz in case you missed the above, we will require all profiles who contributed to this PR to sign the CLA. Happy to review once that is done.

hsuanyi · 2026-04-13T19:35:20Z

I have read the CLA Document and I hereby sign the CLA

pront · 2026-04-13T19:38:07Z

recheck

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flaviofcruz · 2026-04-13T22:06:34Z

@pront really appreciate your work for the review. However, I was looking at the zerobus SDK license and the license could be problematic: https://github.com/databricks/zerobus-sdk/blob/main/LICENSE Do you know if this could be a blocker? Let me know if that is.

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chatgpt-codex-connector · 2026-04-13T23:27:02Z

+                    // Remove the stream from the slot so the next retry creates a fresh one,
+                    // then try to close gracefully. Dropping the slot's Arc first means our
+                    // local `stream` may be the sole owner, allowing `Arc::get_mut` to succeed.
+                    self.stream.lock().await.take();


Guard stream reset against stale concurrent failures

When a retryable ingest error occurs, this unconditionally clears the shared stream slot, even if another task has already replaced it with a fresh stream. In concurrent ingest (which this sink uses), an old in-flight request can fail after recovery and then remove the new healthy stream, causing unnecessary reconnect churn and extra retries. Reset logic should only clear the slot if it still points to the same Arc that failed.

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This seems a real issue, now checking if the existing stream is the same as the one we hold so that we take it only when that happens.

chatgpt-codex-connector · 2026-04-13T23:27:02Z

+    client_secret: &str,
+) -> Result<UnityCatalogTableSchema, ZerobusSinkError> {
+    let http_client =
+        HttpClient::new(TlsSettings::default(), &ProxyConfig::default()).map_err(|e| {


Use configured proxy for Unity Catalog schema fetches

Schema discovery always constructs its HTTP client with ProxyConfig::default(), so user-configured proxy settings from sink context are ignored. In environments that require egress via proxy, schema.type = "unity_catalog" can fail at startup even though the sink is otherwise configured correctly. This should use the sink/runtime proxy configuration instead of hardcoded defaults.

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Done for the UC call, sadly Zerobus SDK doesn't seem to support changing a separate ProxyConfig.

flaviofcruz · 2026-04-17T17:58:42Z

@pront really appreciate your work for the review. However, I was looking at the zerobus SDK license and the license could be problematic: databricks/zerobus-sdk@main/LICENSE Do you know if this could be a blocker? Let me know if that is.

Hi @flaviofcruz, still thinking about this. I would pause work on this PR until we have a clear answer.

If it's a major concern, we can work on changing the license of the SDK.

Switching to any of the following Apache 2, MIT, MPL, BSD3 would immediately unblock this PR. If not possible to switch then we can discuss more complex alternatives such as FFI.

License is being changed to Apache 2 here: databricks/zerobus-sdk#198 Thanks for the patience :)

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chatgpt-codex-connector · 2026-04-17T18:02:27Z

+    let element_type = parse_complex_type(element_type_json)?;
+    Ok(ComplexType::Array(Box::new(element_type)))


Preserve array element nullability from Unity schema

parse_array_type only reads elementType and immediately constructs ComplexType::Array, so Unity Catalog's containsNull flag is discarded. That makes schemas like array<...> with containsNull = true look fully representable even though protobuf repeated fields cannot encode a true null element, which can cause runtime encode failures (or forced coercion) when events include null entries in those arrays. The descriptor generator should either reject nullable-element arrays up front or model them with an explicit wrapper that can encode nullability.

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This shouldn't matter because the source are non nullable map key/values and non nullable array elements.

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flaviofcruz · 2026-04-20T23:18:52Z

I have read the CLA Document and I hereby sign the CLA

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chatgpt-codex-connector · 2026-04-20T23:19:49Z

+                    Ok(Some(offset)) if self.require_acknowledgements => {
+                        stream.wait_for_offset(offset).await.map(|_| ())
+                    }
+                    Ok(_) => Ok(()),


Fail when ack mode receives no ingest offset

When acknowledgements are enabled, this branch still treats ingest_records_offset returning Ok(None) as success, so events are marked delivered without waiting for any server-side confirmation. If the SDK ever returns None (e.g., offset not available for a successful ingest call), the sink violates its advertised acknowledgement semantics and can acknowledge data before it is durably accepted; in ack mode this should be surfaced as an error instead of falling through to Ok(()).

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This only happens if we ever send a batch with 0 elements. Still I had an error case for this situation but the code should never reach this state.

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chatgpt-codex-connector · 2026-04-21T19:44:29Z

 prost-types = { workspace = true, optional = true }

+# Databricks Zerobus
+databricks-zerobus-ingest-sdk = { git = "https://github.com/databricks/zerobus-sdk-rs", rev = "a963e81", optional = true }


Regenerate the third-party license inventory

This adds the new databricks-zerobus-ingest-sdk dependency and updates Cargo.lock, but LICENSE-3rdparty.csv was not updated (a repo search for databricks/zerobus only finds the lockfile entry). Vector's dependency license check expects new locked crates to be reflected in the license inventory, so this PR can fail CI or ship the SDK without the recorded license metadata; please run make build-licenses and commit the generated changes.

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I assume we might still need databricks/zerobus-sdk#225

It passed now, licenses file updated!

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chatgpt-codex-connector · 2026-04-21T21:39:55Z

+        if self.table_name.matches('.').count() != 2 {
+            return Err(ZerobusSinkError::ConfigError {
+                message: "table_name must be in format 'catalog.schema.table' (exactly 3 parts)"


Reject empty table-name segments during config validation

The table_name validation only counts dots, so values like catalog..table, .schema.table, or catalog.schema. pass validation even though they are not valid catalog.schema.table identifiers. These malformed values then fail later during Unity Catalog calls with a less actionable remote error, despite this function claiming to enforce exactly three parts. Split on . and ensure all three segments are non-empty to keep startup failures deterministic and user-facing.

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chatgpt-codex-connector · 2026-04-22T16:21:48Z

+    if !proxy.enabled {
+        return None;


Override SDK proxy autodetection when proxy is disabled

When proxy.enabled is false, this function returns None, which leaves ZerobusSdk on its default environment-variable proxy autodetection path (the behavior is even documented in the surrounding comments). In environments where HTTP_PROXY/HTTPS_PROXY is set globally, Zerobus traffic will still be proxied despite explicit Vector config to disable proxies, causing unexpected routing and startup/ingest failures in no-proxy deployments. Instead of returning None in this branch, provide an explicit connector factory that forces direct connections.

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pront · 2026-04-22T20:46:04Z

FYI I will come back for a final review after @petere-datadog approves.

…ta into Databricks

…ck up the environment variables

…f no URL is set up

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chatgpt-codex-connector · 2026-04-22T21:07:42Z

+            }
+        }
+
+        if let Some(max_bytes) = self.batch.max_bytes {


Enforce Zerobus 10MB cap when batch.max_bytes is unset

The validation only checks the 10MB SDK limit when batch.max_bytes is Some(...), so a config that explicitly sets batch.max_bytes: null can bypass this guard and produce oversized requests. Because into_batcher_settings() will then allow size-unbounded batches (bounded only by timeout/max_events), the sink can send >10MB payloads that the Zerobus SDK rejects at ingest time, turning a deterministic startup validation error into runtime delivery failures.

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AFAIK validate will merge the default. Added test to confirm that indeed this is what happens - we always cap at 10MB batch size.

github-actions Bot added domain: sinks Anything related to the Vector's sinks domain: external docs Anything related to Vector's external, public documentation labels Mar 3, 2026

flaviofcruz changed the title ~~feat(databricks zerobus): add new databricks_zerobus for ingesting da…~~ feat(databricks zerobus): add new databricks_zerobus for Databricks ingestion Mar 3, 2026

flaviofcruz force-pushed the upstream-databricks-zerobus branch 3 times, most recently from 2368e4a to 42bf043 Compare March 12, 2026 17:04

flaviofcruz marked this pull request as ready for review March 12, 2026 17:05

flaviofcruz requested review from a team as code owners March 12, 2026 17:05

flaviofcruz changed the title ~~feat(databricks zerobus): add new databricks_zerobus for Databricks ingestion~~ feat(sinks): add new databricks_zerobus for Databricks ingestion Mar 12, 2026

github-actions Bot added the domain: ci Anything related to Vector's CI environment label Mar 12, 2026

drichards-87 self-assigned this Mar 12, 2026

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flaviofcruz added 7 commits April 22, 2026 20:54

feat(databricks zerobus): add new databricks_zerobus for ingesting da…

07c8b18

…ta into Databricks

Some cosmetic changes

de47d26

Add generated file

1f559d0

Force direct connection when proxy is disabled to avoid the sdk to pi…

07a23d2

…ck up the environment variables

Throw a config error is proxy url is invalid. Use direct connection i…

ef5d13a

…f no URL is set up

Fix the clickhouse sink so that it only accepts arrow

b1b2566

Format the rust code

73f567a

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Add test to confirm we always cap at 10MB for the batch size

ea457d1

		let element_type = parse_complex_type(element_type_json)?;
		Ok(ComplexType::Array(Box::new(element_type)))

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flaviofcruz commented Mar 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Summary

Vector configuration

How did you test this PR?

Change Type

Is this a breaking change?

Does this PR include user facing changes?

References

Notes

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flaviofcruz commented Mar 3, 2026 •

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