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233 changes: 233 additions & 0 deletions fesod-benchmark/benchmark.md
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# Fesod Benchmark Guide

This guide provides a comprehensive overview of the Fesod benchmark module, including how to run benchmarks, interpret the results, and contribute new benchmarks.

## Overview

The benchmark module measures and analyzes the performance of Fesod for various Excel operations, such as reading, writing, and filling data. It uses the [Java Microbenchmark Harness (JMH)](https://openjdk.java.net/projects/code-tools/jmh/) to ensure accurate and reliable benchmark results.

Key goals:

- Provide a standardized way to measure the performance of Fesod.
- Track performance regressions and improvements over time.
- Compare the performance of Fesod with other Excel libraries, such as Apache POI.
- Help users make informed decisions about how to use Fesod for their specific needs.

> **Note:** Benchmark code in this module is not part of the Fesod public API.

## How to Run Benchmarks

### Using the Shade JAR (Recommended)

Build the uber-jar and run benchmarks directly:

```bash
mvn clean package -f fesod-benchmark/pom.xml -DskipTests
java -jar fesod-benchmark/target/benchmarks.jar
```

Run a specific benchmark class:

```bash
java -jar fesod-benchmark/target/benchmarks.jar ReadBenchmark
```

Run with JMH GC profiler for memory analysis:

```bash
java -jar fesod-benchmark/target/benchmarks.jar -prof gc
```

Export results as JSON:

```bash
java -jar fesod-benchmark/target/benchmarks.jar -rf json -rff results.json
```

### Using the Comparison Runner

The `ComparisonBenchmarkRunner` provides a pre-configured Fesod vs Apache POI comparison:

```bash
java -cp fesod-benchmark/target/benchmarks.jar \
org.apache.fesod.sheet.benchmark.comparison.ComparisonBenchmarkRunner
```

Results are written to `target/benchmark-results/<session-id>/`.

### Using Maven Profiles

```bash
# Run all benchmarks via Maven
mvn verify -f fesod-benchmark/pom.xml -P benchmark -Dbenchmark.pattern=.*

# Run a specific benchmark
mvn verify -f fesod-benchmark/pom.xml -P benchmark -Dbenchmark.pattern=ReadBenchmark

# Quick CI smoke test (1 fork, 1 iteration, 0 warmup)
mvn verify -f fesod-benchmark/pom.xml -P benchmark-test
```

## Benchmark Suites

The benchmark module includes the following suites:

| Suite | Description |
|---|---|
| **Comparison** | Head-to-head comparison of Fesod vs Apache POI for read, write, and streaming operations |
| **Operations** | Focused benchmarks for read (`ReadBenchmark`), write (`WriteBenchmark`), and fill (`FillBenchmark`) operations |

### Dataset Sizes

| Size | Rows | Use Case |
|---|---|---|
| `SMALL` | 1,000 | Quick development feedback |
| `MEDIUM` | 10,000 | Standard CI benchmarks |
| `LARGE` | 100,000 | Performance analysis |
| `EXTRA_LARGE` | 1,000,000 | Stress testing (comparison benchmarks only) |

## JMH Best Practices Applied

This benchmark module follows JMH best practices:

1. **No manual timing** - JMH handles all timing measurements via `@BenchmarkMode`.
2. **No `System.gc()` calls** - Avoids unpredictable pauses that distort measurements.
3. **Fixed heap size** - `-Xms` equals `-Xmx` for stable GC behavior.
4. **Pre-loaded data** - All test data is generated in `@Setup(Level.Trial)` to exclude I/O from measurements.
5. **Fixed random seed** - Ensures reproducible data generation across runs.
6. **Fair comparison** - Both Fesod and Apache POI write/read the same columns.
7. **`Blackhole.consume()`** - Prevents dead code elimination by the JIT compiler.
8. **`@OperationsPerInvocation`** - Allows JMH to correctly calculate throughput.

## Interpreting Results

JMH produces output in the following format:

```
Benchmark (datasetSize) (fileFormat) Mode Cnt Score Error Units
FastExcelVsPoiBenchmark.benchmarkFesodRead SMALL XLSX avgt 5 2.345 ± 0.123 ms/op
FastExcelVsPoiBenchmark.benchmarkPoiRead SMALL XLSX avgt 5 5.678 ± 0.456 ms/op
```

Key columns:
- **Mode**: `avgt` (average time), `thrpt` (throughput), `ss` (single shot)
- **Score**: The benchmark score (lower is better for `avgt`, higher for `thrpt`)
- **Error**: 99% confidence interval
- **Units**: `ms/op` (milliseconds per operation), `ops/s` (operations per second)
# FastExcel Benchmark Guide

This guide provides a comprehensive overview of the FastExcel benchmark module, including how to run benchmarks, interpret the results, and contribute new benchmarks.

## Overview

The benchmark module is designed to measure and analyze the performance of FastExcel for various Excel operations, such as reading, writing, and filling data. It uses the [Java Microbenchmark Harness (JMH)](https://openjdk.java.net/projects/code-tools/jmh/) to ensure accurate and reliable benchmark results.

The key goals of the benchmark module are:

- To provide a standardized way to measure the performance of FastExcel.
- To track performance regressions and improvements over time.
- To compare the performance of FastExcel with other Excel libraries, such as Apache POI.
- To help users make informed decisions about how to use FastExcel for their specific needs.

## How to Run Benchmarks

There are two primary ways to run the benchmarks: using the `benchmark-runner.sh` script or using Maven profiles.

### Using the `benchmark-runner.sh` Script

The `benchmark-runner.sh` script provides a convenient way to run the benchmarks with various options.

**Usage:**

```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh [OPTIONS]
```

**Options:**

| Option | Description | Default |
|---|---|---|
| `-p`, `--profile` | Benchmark profile (quick, standard, comprehensive) | `standard` |
| `-o`, `--output` | Output directory for results | `benchmark-results` |
| `-j`, `--java-version` | Java version to use | `11` |
| `-m`, `--memory` | JVM heap size | `4g` |
| `-t`, `--pattern` | Benchmark pattern to match | |
| `-d`, `--dataset` | Dataset size (SMALL, MEDIUM, LARGE, EXTRA_LARGE, ALL) | `ALL` |
| `-f`, `--format` | Output format (json, csv, text) | `json` |
| `-r`, `--regression` | Enable regression analysis | |
| `-v`, `--verbose` | Enable verbose output | |
| `-h`, `--help` | Show this help message | |

**Profiles:**

- `quick`: Fast execution for development (2 warmup, 3 measurement, 1 fork).
- `standard`: Balanced execution for CI (3 warmup, 5 measurement, 1 fork).
- `comprehensive`: Thorough execution for nightly (5 warmup, 10 measurement, 2 forks).

**Examples:**

- Run standard benchmarks:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile standard
```
- Run quick benchmarks for read operations only:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile quick --pattern "ReadBenchmark"
```
- Run comprehensive benchmarks with regression analysis:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile comprehensive --regression
```

### Using Maven Profiles

You can also run the benchmarks using Maven profiles. This is useful for integrating the benchmarks into a CI/CD pipeline.
Comment on lines +134 to +184

Copilot AI Jan 16, 2026

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Documentation references benchmark-runner.sh script in fastexcel-benchmark/scripts/ directory, but this script does not exist in the PR. Either the script needs to be added or the documentation should be updated to remove references to it.

Suggested change
There are two primary ways to run the benchmarks: using the `benchmark-runner.sh` script or using Maven profiles.
### Using the `benchmark-runner.sh` Script
The `benchmark-runner.sh` script provides a convenient way to run the benchmarks with various options.
**Usage:**
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh [OPTIONS]
```
**Options:**
| Option | Description | Default |
|---|---|---|
| `-p`, `--profile` | Benchmark profile (quick, standard, comprehensive) | `standard` |
| `-o`, `--output` | Output directory for results | `benchmark-results` |
| `-j`, `--java-version` | Java version to use | `11` |
| `-m`, `--memory` | JVM heap size | `4g` |
| `-t`, `--pattern` | Benchmark pattern to match | |
| `-d`, `--dataset` | Dataset size (SMALL, MEDIUM, LARGE, EXTRA_LARGE, ALL) | `ALL` |
| `-f`, `--format` | Output format (json, csv, text) | `json` |
| `-r`, `--regression` | Enable regression analysis | |
| `-v`, `--verbose` | Enable verbose output | |
| `-h`, `--help` | Show this help message | |
**Profiles:**
- `quick`: Fast execution for development (2 warmup, 3 measurement, 1 fork).
- `standard`: Balanced execution for CI (3 warmup, 5 measurement, 1 fork).
- `comprehensive`: Thorough execution for nightly (5 warmup, 10 measurement, 2 forks).
**Examples:**
- Run standard benchmarks:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile standard
```
- Run quick benchmarks for read operations only:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile quick --pattern "ReadBenchmark"
```
- Run comprehensive benchmarks with regression analysis:
```bash
./fastexcel-benchmark/scripts/benchmark-runner.sh --profile comprehensive --regression
```
### Using Maven Profiles
You can also run the benchmarks using Maven profiles. This is useful for integrating the benchmarks into a CI/CD pipeline.
You can run the benchmarks using Maven profiles.
### Using Maven Profiles
You can run the benchmarks using Maven profiles. This is useful for integrating the benchmarks into a CI/CD pipeline.

Copilot uses AI. Check for mistakes.

**Usage:**

```bash
mvn clean install -f fastexcel-benchmark/pom.xml -P <profile> -Dbenchmark.pattern=<pattern>
```

**Profiles:**

- `benchmark`: The primary profile for running benchmarks.

**Examples:**

- Run all benchmarks:
```bash
mvn clean install -f fastexcel-benchmark/pom.xml -P benchmark
```
- Run a specific benchmark:
```bash
mvn clean install -f fastexcel-benchmark/pom.xml -P benchmark -Dbenchmark.pattern=ReadBenchmark
```

## Benchmark Suites

The benchmark module includes the following suites:

- **Comparison:** Benchmarks comparing FastExcel with other libraries (e.g., Apache POI).
- **Config:** Benchmarks related to configuration options.
- **Core:** Core benchmark classes and utilities.
- **Data:** Benchmarks related to data handling and processing.
- **Memory:** Benchmarks focused on memory usage.
- **Operations:** Benchmarks for specific operations like read, write, and fill.
- **Streaming:** Benchmarks for streaming operations.

## Interpreting Results

The benchmarks produce output in the format specified by the `--format` option. The default format is JSON.

The output includes the following information:

- **Benchmark:** The name of the benchmark.
- **Mode:** The benchmark mode (e.g., `thrpt` for throughput, `avgt` for average time).
- **Threads:** The number of threads used.
- **Forks:** The number of forks used.
- **Warmup Iterations:** The number of warmup iterations.
- **Measurement Iterations:** The number of measurement iterations.
- **Score:** The benchmark score.
- **Score Error:** The error of the benchmark score.
- **Unit:** The unit of the benchmark score (e.g., `ops/s` for operations per second).
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