~/talk

Streaming Event-Time Partitioning With Apache Flink and Apache Iceberg

Talkat Flink Forward Europe 2019 · 2019-10-07..10-09· [data-engineering, databases]
linkedin:juliaben
slides:none on file

Netflix builds a Flink router that writes playback session summaries into Apache Iceberg tables partitioned by event time, using Iceberg atomic commits tied to Flink checkpoints for exactly-once output. Deduplication state drops repeats, late events buffer and flush periodically, and a dynamic partitioner adjusts write parallelism per partition. A naive sink produced 250 million files per day; after batching, dynamic partitioning and background compaction this drops to about 100,000 files and has run in production for a quarter.

AI-written summary · about

  1. 0:00Intro
  2. 0:19What is this talk about?
  3. 1:54Table Partitioning
  4. 4:32Before: Playback Data
  5. 6:21Common Pattern
  6. 7:15Better Pattern?
  7. 7:47Why is this hard?
  8. 9:00Iceberg Sink
  9. 10:21This should be easy...
  10. 15:21After: Playback Data
  11. 16:02Generic event-time partitioning out of the box
  12. 16:50New Pattern
  13. 17:06Tradeoffs
  14. 18:34And next time...
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