📝 Add docstrings to clone-KIP-1052-PR

[coderabbitai]

User description

Docstrings generation was requested by @PrathameshD1408.

• KAFKA-17645: KIP-1052: Enable warmup in producer performance test #19 (comment)

The following files were modified:

• tools/src/main/java/org/apache/kafka/tools/ProducerPerformance.java

These files were ignored

• tools/src/test/java/org/apache/kafka/tools/ProducerPerformanceTest.java

ℹ️ Note

CodeRabbit cannot perform edits on its own pull requests yet.

---

CodeAnt-AI Description

Document producer-performance CLI, payload selection, and metrics; add Stats convenience constructor

What Changed

• Added JavaDoc for the producer-performance tool explaining CLI options (topic, record count, throughput, transactions, warmup) and when help or errors are shown
• Documented payload selection behavior: prefer payload-file entries, generate fixed-size random uppercase payload when --record-size is set, use monotonic payload when --payload-monotonic is set, and error when no payload source is provided
• Documented producer properties loading and normalization: merges config file and key=value overrides, enforces byte-array serializers, and provides a default client id when missing
• Added a convenience Stats constructor for non–steady-state runs and documented how send latencies and throughput are recorded and reported (including steady-state labeling and percentile output)

Impact

✅ Clearer CLI behavior for producers
✅ Clearer payload selection rules when sending messages
✅ Easier stats setup for non–steady-state performance runs

💡 Usage Guide

Checking Your Pull Request

Every time you make a pull request, our system automatically looks through it. We check for security issues, mistakes in how you're setting up your infrastructure, and common code problems. We do this to make sure your changes are solid and won't cause any trouble later.

Talking to CodeAnt AI

Got a question or need a hand with something in your pull request? You can easily get in touch with CodeAnt AI right here. Just type the following in a comment on your pull request, and replace "Your question here" with whatever you want to ask:

@codeant-ai ask: Your question here

This lets you have a chat with CodeAnt AI about your pull request, making it easier to understand and improve your code.

Example

@codeant-ai ask: Can you suggest a safer alternative to storing this secret?

Preserve Org Learnings with CodeAnt

You can record team preferences so CodeAnt AI applies them in future reviews. Reply directly to the specific CodeAnt AI suggestion (in the same thread) and replace "Your feedback here" with your input:

@codeant-ai: Your feedback here

This helps CodeAnt AI learn and adapt to your team's coding style and standards.

Example

@codeant-ai: Do not flag unused imports.

Retrigger review

Ask CodeAnt AI to review the PR again, by typing:

@codeant-ai: review

Check Your Repository Health

To analyze the health of your code repository, visit our dashboard at https://app.codeant.ai. This tool helps you identify potential issues and areas for improvement in your codebase, ensuring your repository maintains high standards of code health.

[codeant-ai]

CodeAnt AI is reviewing your PR.

---

Thanks for using CodeAnt! 🎉

We're free for open-source projects. if you're enjoying it, help us grow by sharing.

Share on X ·
Reddit ·
LinkedIn

[coderabbitai]

Important

Review skipped

CodeRabbit bot authored PR detected.

To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

---

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[codeant-ai]

CodeAnt AI finished reviewing your PR.