beliefer commented on a change in pull request #28096: [SPARK-31295][DOC][FOLLOWUP] Supplement version for configuration appear in doc URL: https://github.com/apache/spark/pull/28096#discussion_r402073180
########## File path: docs/sql-performance-tuning.md ########## @@ -193,34 +200,38 @@ Adaptive Query Execution (AQE) is an optimization technique in Spark SQL that ma ### Coalescing Post Shuffle Partitions This feature coalesces the post shuffle partitions based on the map output statistics when both `spark.sql.adaptive.enabled` and `spark.sql.adaptive.coalescePartitions.enabled` configurations are true. This feature simplifies the tuning of shuffle partition number when running queries. You do not need to set a proper shuffle partition number to fit your dataset. Spark can pick the proper shuffle partition number at runtime once you set a large enough initial number of shuffle partitions via `spark.sql.adaptive.coalescePartitions.initialPartitionNum` configuration. <table class="table"> - <tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr> + <tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since Version</th></tr> <tr> <td><code>spark.sql.adaptive.coalescePartitions.enabled</code></td> <td>true</td> <td> When true and <code>spark.sql.adaptive.enabled</code> is true, Spark will coalesce contiguous shuffle partitions according to the target size (specified by <code>spark.sql.adaptive.advisoryPartitionSizeInBytes</code>), to avoid too many small tasks. </td> + <td>3.0.0</td> Review comment: SPARK-31037, commit ID: 46b7f1796bd0b96977ce9b473601033f397a3b18#diff-9a6b543db706f1a90f790783d6930a13 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org