cloud-fan commented on a change in pull request #27616: [SPARK-30864] [SQL]add the user guide for Adaptive Query Execution URL: https://github.com/apache/spark/pull/27616#discussion_r380469743
########## File path: docs/sql-performance-tuning.md ########## @@ -186,3 +186,75 @@ The "REPARTITION_BY_RANGE" hint must have column names and a partition number is SELECT /*+ REPARTITION(3, c) */ * FROM t SELECT /*+ REPARTITION_BY_RANGE(c) */ * FROM t SELECT /*+ REPARTITION_BY_RANGE(3, c) */ * FROM t + +## Adaptive Query Execution +Adaptive Query Execution (AQE) is an optimization technique in Spark SQL that make use of the runtime statistics to choose the most efficient query execution plan. AQE is disabled by default. Spark SQL can use the umbrella configuration of `spark.sql.adaptive.enabled` to control whether turn it on/off. There are three mainly feature in AQE, including coalescing post partition number, optimizing local shuffle reader and optimizing skewed join. Review comment: post-shuffle partition number ---------------------------------------------------------------- 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