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Navigate Apache Beam contributions from finding an issue to submitting a pull request, a proposed code change, and responding to reviews. Covers environment setup, tests, formatting, licensing requirements, and closer evaluation of changes to core components.

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• Prepare a first Apache Beam contribution
• Organize a pull request and its related issue
• Check tests and formatting before submission

Build Apache Beam connectors that read and write external data. This guide covers Java implementation, schema support for structured records, access from Python and Go, Managed API integration, and testing.

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• Add a connector for an external data system
• Make a Java connector available to Python and Go
• Integrate a connector with Beam YAML and the Managed API

Guides Java SDK development in Apache Beam, from finding relevant modules to building code, running focused tests, and trying examples. Also explains how to publish modified modules locally and build SDK containers.

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• Finding the Java SDK module to modify
• Running a specific test class or method
• Checking setup with the WordCount example

Check whether Apache Hudi table maintenance is keeping pace with incoming data. Runs a read-only utility, interprets its JSON report, and explains unhealthy or skipped checks with concrete next steps.

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• Checking Hudi table maintenance health
• Investigating delayed compaction or cleaning
• Finding why the active timeline keeps growing

Design or review Apache Hudi tables through questions about data volume, updates, and usage. Get architecture recommendations, a decision record explaining tradeoffs, and configuration artifacts for supported processing paths.

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• Designing a new Hudi table
• Reviewing an existing table design
• Planning a small prototype

Migrate Java projects from FastExcel 1.3 to Apache Fesod by updating Maven or Gradle dependencies, package imports, and entry class calls. Handles both legacy package namespaces and identifies conditional helper class changes.

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• Migrating an existing Java Excel application to Fesod
• Updating Maven or Gradle dependencies
• Cleaning up partially migrated package imports

Review Apache Pinot changes for concurrency and state safety, including locks, shared callbacks, lifecycle changes, and distributed metadata. Use it to examine how changes affect shared state when multiple operations run at the same time.

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• Reviewing changes to locks and atomic operations
• Checking shared callback registration changes
• Reviewing Helix state transitions and ZK node changes

Investigate Pinot tests that fail intermittently in GitHub Actions. Use the skill to produce a report describing the evidence found and likely causes, helping explain failures that do not occur consistently.

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• Investigating intermittent Pinot test failures
• Reporting evidence from GitHub Actions test failures
• Documenting likely causes of inconsistent test results

Review Apache Pinot changes affecting frequently executed code or making performance claims in a pull request. Relevant areas include operators, segment readers, aggregation functions, and locking inside loops that process individual rows.

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• Review changes to frequently executed processing code
• Review performance improvement claims in a pull request
• Review locking inside per-row loops

Review architecture changes in Apache Pinot, focusing on module dependencies, extension interfaces, abstractions, and class placement. Use it to examine changes that cross module boundaries or introduce new plugins and interfaces.

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• Reviewing classes moved between modules
• Checking new extension interfaces or abstract classes
• Reviewing new plugin directories

Start a local Pinot quickstart and verify it using modes supported by the checked-out code. Use it to bring up a local trial environment that matches the version you are working with.

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• Start a local Pinot quickstart
• Use a mode supported by the checked-out code
• Verify the quickstart after startup

Compare baseline and current Pinot benchmark results from JMH, a tool for measuring code performance. The skill uses a separate baseline worktree, a working directory kept apart from the current code.

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• Compare Pinot benchmarks before and after a code change
• Check performance differences against a baseline
• Keep baseline code in a separate working directory

Validate and fix Pinot pre-commit checks for modules affected by a change. Use it before a commit or pull request to address check failures in the relevant parts of the project.

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• Checking affected modules before a commit
• Validating changes before a pull request
• Fixing pre-commit check failures

Review the scope and process of Apache Pinot changes, including pull request descriptions, reverts, retries, and compatibility notes. Use it to examine large changes, test workarounds, and documentation needed for changes that break backward compatibility.

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• Reviewing large changes across multiple modules
• Reviewing Revert or Hotfix pull requests
• Checking retries and sleeps added to tests

Review regression coverage and test quality in Apache Pinot when behavior or tests change. Use it to assess whether code changes and bug fixes have relevant tests, including paths that handle different types or null values.

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• Reviewing added or modified test files
• Checking production changes without test updates
• Checking regression tests for bug fixes

Run a named Pinot test class or individual method in the Maven module that contains it. Use it to focus test execution on a specific target within the project's module structure.

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• Run a specific Pinot test class
• Run an individual test method
• Execute a test in its owning Maven module

Review Apache Pinot changes against naming and API conventions, including public names, method signatures, REST endpoints, JSON fields, and documentation. Use it when adding or renaming elements exposed to other code or users.

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• Reviewing public class, method, or field names
• Checking new enum constants or DataType values
• Reviewing REST endpoints and JSON fields

Review Apache Pinot changes for correctness in null handling, numeric types, type-based processing, and resource lifecycles. Use it to examine changes to calculations, aggregations, window functions, and segment cleanup or persistence.

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• Reviewing changes to null handling
• Checking branches based on data or index types
• Reviewing numeric processing in aggregations and window functions

Review Apache Pinot changes for compatibility with existing configurations and consumers. Covers public APIs, extension interfaces, serialized data formats, and REST responses, helping focus code review on changes that may affect existing users.

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• Reviewing changes to configuration fields
• Checking compatibility after extension interface changes
• Reviewing enum and schema type changes

Guides Apache OpenDAL release managers through preparation, release candidates, verification, voting, and publication. It tracks the current stage, checks external systems, and distinguishes core, candidate, and package versions when deciding the next release action.

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• Preparing a weekly candidate or manual release candidate
• Checking release CI and staged source artifacts
• Preparing a vote and verifying its outcome

Condensed tika-eval pattern for charset-detector regression hunts ("A picks encoding X, B picks Y") using one build and two configs — encoding-pair flip queries, OOV/languageness/FFFD signals, per-file detector attribution.

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Working with tika-metadata-schema, the build-gated registry of Tika metadata keys — regeneration after Property changes, gate tests, naming conventions, post-rename sweeps. Use when adding or renaming metadata keys or when the schema gate fails.

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Taking a multi-PR feature from "shape unknown" to merged without five review rounds per PR: spike until interfaces stop moving, write the contract, cut PRs along contract seams, one review per PR. Use when starting a feature that touches more than one lifecycle object or public interface, when a PR review keeps changing interfaces, or when splitting a large branch.

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Run Tika's OSS-Fuzz Jazzer targets locally against a working-tree checkout — build the image, build fuzzers from local source, fuzz a target, run a corpus as a regression pass, reproduce a crash, and add seeds. Use for "fuzz the OneNote parser", "run OneNoteParserFuzzer against these files", "reproduce an OSS-Fuzz crash", "fuzz my branch before merge".

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