Choose and apply Spark Structured Streaming output modes (append, update, complete)

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

Verified steps

  1. Use Append mode for queries with no aggregation or with watermarked aggregations where only finalized rows are emitted; rows are written once and never updated.
  2. Use Update mode for aggregations where each micro-batch emits only the rows that changed since the last batch; the sink must support upserts (e.g., databases, Delta Lake MERGE).
  3. Use Complete mode for aggregations without watermarks where the entire result table is rewritten each micro-batch; requires the result set to fit in executor memory.
  4. Select the mode in writeStream.outputMode('append' | 'update' | 'complete').
  5. Check compatibility: non-aggregated queries only support Append; stateful aggregations with watermarks support Append and Update; global aggregations support Update and Complete.

Known gotchas

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