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https://issues.apache.org/jira/browse/SPARK-26155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-26155.
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Resolution: Duplicate
> Spark SQL performance degradation after apply SPARK-21052 with Q19 of TPC-DS
> in 3TB scale
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-26155
> URL: https://issues.apache.org/jira/browse/SPARK-26155
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.0, 2.3.1, 2.3.2, 2.4.0
> Reporter: Ke Jia
> Priority: Major
> Attachments: Q19 analysis in Spark2.3 with L486&487.pdf, Q19 analysis
> in Spark2.3 without L486&487.pdf, q19.sql, tpcds.result.xlsx
>
>
> In our test environment, we found a serious performance degradation issue in
> Spark2.3 when running TPC-DS on SKX 8180. Several queries have serious
> performance degradation. For example, TPC-DS Q19 needs 126 seconds with Spark
> 2.3 while it needs only 29 seconds with Spark2.1 on 3TB data. We investigated
> this problem and figured out the root cause is in community patch SPARK-21052
> which add metrics to hash join process. And the impact code is
> [L486|https://github.com/apache/spark/blob/1d3dd58d21400b5652b75af7e7e53aad85a31528/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashedRelation.scala#L486]
> and
> [L487|https://github.com/apache/spark/blob/1d3dd58d21400b5652b75af7e7e53aad85a31528/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashedRelation.scala#L487]
> . Q19 costs about 30 seconds without these two lines code and 126 seconds
> with these code.
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