~/talk

Run Interactive Queries with Apache Flink

Talkat Flink Forward Europe 2019 · 2019-10-07..10-09· [data-engineering]
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Flink adds an intermediate-result cache (FLIP-36) that persists blocking partitions to the shuffle service so repeated sub-DAGs avoid recomputation; a new table.cache API marks results to keep across jobs in the same session. The client records an intermediate-result ID and location; if the cache is missing, the job resubmits and rebuilds the result. Work in progress includes cross-session sharing, automatic caching at shuffle boundaries, and a table.collect API.

AI-written summary · about

  1. 0:00Introduction
  2. 0:49What is interactive programming
  3. 2:12Why it matters for Flink
  4. 5:04Problem with recomputation
  5. 7:10Solution with FLIP-36
  6. 9:59How caching works
  7. 15:17Future improvements
  8. 17:46Q&A session
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