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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/02 10:58:00 UTC
[jira] [Commented] (SPARK-38771) Introduce adaptive Bloom filter Join to reduce spilling to disk when doing SortMergeJoin
[ https://issues.apache.org/jira/browse/SPARK-38771?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17516274#comment-17516274 ]
Apache Spark commented on SPARK-38771:
--------------------------------------
User 'wangyum' has created a pull request for this issue:
https://github.com/apache/spark/pull/36046
> Introduce adaptive Bloom filter Join to reduce spilling to disk when doing SortMergeJoin
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-38771
> URL: https://issues.apache.org/jira/browse/SPARK-38771
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Yuming Wang
> Priority: Major
> Attachments: Special case.png
>
>
> Insert a bloom filter on one side of the join if it may be spill when sorting and the other side less than 100000000L rows.
> A special case:
> {code:java}
> sql("set spark.sql.autoBroadcastJoinThreshold=10000")
> sql("CREATE TABLE t1 using parquet AS SELECT id AS a, id AS b, id AS c FROM range(200000000L)")
> sql("CREATE TABLE t2 using parquet AS SELECT id AS x, id AS y FROM range(8000000)")
> sql("""SELECT a, b, c, x, y FROM t1 JOIN t2 ON t1.a = t2.x where t2.y = 1""").collect()
> {code}
> !Special case.png!
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