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XiDuo You commented on SPARK-35725: ----------------------------------- [~Penglei Shi] , It will cause inconsistent. The feature `rebalance` acutally depends on two rule: 1. optimize skew in rebalance, 2: coalesce shuffle partition. The key is rule2 always uses the advisory size to coalesce small partitions. so I think what you need is a config that can control both rule1 and rule2 rather than rule1 only in final shuffle for writefiles. That's why I reuse the existed advisory size config. > Support repartition expand partitions in AQE > -------------------------------------------- > > Key: SPARK-35725 > URL: https://issues.apache.org/jira/browse/SPARK-35725 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 3.2.0 > Reporter: XiDuo You > Assignee: XiDuo You > Priority: Major > Fix For: 3.2.0 > > > Currently, we don't support expand partition dynamically in AQE which is not > friendly for some data skew job. > Let's say if we have a simple query: > {code:java} > SELECT * FROM table DISTRIBUTE BY col > {code} > The column of `col` is skewed, then some shuffle partitions would handle too > much data than others. > If we haven't inroduced extra shuffle, we can optimize this case by expanding > partitions in AQE. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org