Implement Flink sliding and session windows with late data handling and side outputs

domain: dataeng-general · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Define a watermark strategy with a bounded-out-of-orderness to tolerate late events up to a maximum latency bound
  2. Apply a sliding window (SlidingEventTimeWindows) or session window (EventTimeSessionWindows) on the keyed stream
  3. Set an allowed lateness on the window operator to hold window state open beyond the watermark and re-emit updated results when late records arrive within the lateness bound
  4. Attach a side output tag to the window operator to capture records that arrive after the allowed lateness has elapsed
  5. Route the side output stream to a dead-letter sink or a reprocessing queue for manual inspection and late correction

Known gotchas

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