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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/09/01 16:56:00 UTC
[jira] [Assigned] (SPARK-32767) Bucket join should work if
spark.sql.shuffle.partitions larger than bucket number
[ https://issues.apache.org/jira/browse/SPARK-32767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32767:
------------------------------------
Assignee: Apache Spark
> Bucket join should work if spark.sql.shuffle.partitions larger than bucket number
> ---------------------------------------------------------------------------------
>
> Key: SPARK-32767
> URL: https://issues.apache.org/jira/browse/SPARK-32767
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Yuming Wang
> Assignee: Apache Spark
> Priority: Major
>
> How to reproduce this issue:
> {code:scala}
> spark.range(1000).write.bucketBy(500, "id").saveAsTable("t1")
> spark.range(1000).write.bucketBy(50, "id").saveAsTable("t2")
> sql("set spark.sql.shuffle.partitions=600")
> sql("set spark.sql.autoBroadcastJoinThreshold=-1")
> sql("select * from t1 join t2 on t1.id = t2.id").explain()
> {code}
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