Compare Pinot JMH benchmark results between baseline and current codebases.
npx skills add https://github.com/apache/pinot --skill bench-compare-apache
Please help me install this Agent Skill. Skill: bench-compare Source: https://github.com/apache/pinot/tree/main/.claude/skills/bench-compare Command: npx skills add https://github.com/apache/pinot --skill bench-compare-apache
This skill helps you compare Pinot JMH benchmark results between a baseline commit and the current codebase, surfacing performance deltas in a single, easy-to-interpret report.
Run a controlled side-by-side Pinot performance comparison between baseline and current code by generating both results and a diff table.
High-intent search queries and answers about installing and using this skill.
To compare JMH benchmark results, this skill builds and runs benchmarks in isolated git worktrees for a baseline commit and your current codebase, then generates a side-by-side diff report of the performance metrics.
Validating Pinot performance changes requires running JMH benchmarks against a baseline and current version, outputting two result files and a diff table to highlight substantial shifts exceeding measurement error for easy PR sharing.
Yes, you need a Maven-based Pinot build. The workflow requires proper JMH invocation via org.openjdk.jmh.Main and safeguards to avoid stale dependencies, ensuring deterministic builds across both baseline and current runs.
Benchmark risk detection flags substantial changes where the performance delta exceeds the measurement error, highlighting meaningful performance shifts between the baseline commit and the current codebase in the final comparative report.
Yes, the workflow applies isolated git worktrees to separate the baseline commit and current codebase perspectives, ensuring deterministic builds and preventing cross-contamination of dependencies during JMH benchmark execution.
Inconsistent benchmark results often stem from stale dependencies or non-deterministic builds. This skill applies safeguards against stale dependencies and uses isolated worktrees to ensure reproducible JMH benchmark comparisons.
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