Run Hudi compaction and clustering to optimize a Merge-on-Read table for read performance

domain: hudi.apache.org · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Trigger inline compaction by setting hoodie.compact.inline=true and hoodie.compact.inline.max.delta.commits=5 so compaction runs after every 5 delta commits.
  2. For async compaction, use the HoodieCompactor Spark job: run spark-submit with the HoodieCompactor class, specifying the table path and compaction instant time.
  3. Enable clustering by setting hoodie.clustering.inline=true and hoodie.clustering.inline.max.commits=4; clustering rewrites base files to sort and colocate records by specified columns.
  4. Configure clustering sort columns with hoodie.clustering.plan.strategy.sort.columns=region,user_id to define the colocation key for clustered files.
  5. Monitor the Hudi timeline (inspect .hoodie/ directory) for pending, inflight, and completed compaction and clustering instants to confirm operations are progressing.

Known gotchas

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