Create windowed aggregations in ksqlDB with TUMBLING, HOPPING, and SESSION windows

domain: docs.confluent.io · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Start from an existing ksqlDB stream.
  2. For a tumbling window: CREATE TABLE result AS SELECT key, COUNT(*) FROM stream WINDOW TUMBLING (SIZE 1 HOUR) GROUP BY key EMIT CHANGES.
  3. For a hopping window: use WINDOW HOPPING (SIZE 1 HOUR, ADVANCE BY 10 MINUTES) to create overlapping windows.
  4. For a session window: use WINDOW SESSION (30 MINUTES) to group records with gaps smaller than 30 minutes into the same session.
  5. Query the resulting windowed table with a pull query specifying the key and optionally the window bounds using WINDOWSTART and WINDOWEND.
  6. Set retention with RETENTION clause or adjust the backing topic's retention to control how long historical windows are queryable.

Known gotchas

Related routes

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