Procedural skill for implementing Apache Flink jobs that read gzipped CSV cluster-trace data, apply event-time session windows, join/filter across multiple event streams, and produce per-entity aggregations. Covers data-type POJOs, custom SourceFunctions for gzipped CSV, watermark strategies, session-window counting, cross-stream coordination, and the exact output format expected by the test harness.
How to install flink-query?
etayang10th/spark-skills/flink-query
$npx -y skills add etayang10th/spark-skills --skill flink-queryInstalls into the current project.
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Run `npx skills use "https://github.com/etayang10th/spark-skills" --skill "etayang10th/spark-skills/flink-query"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/etayang10th/spark-skills" that are relevant to the current task. Run `npx skills add "https://github.com/etayang10th/spark-skills"` and select the relevant skills, then follow their instructions.
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