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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/11/22 00:10:00 UTC
[jira] [Commented] (SPARK-37391) SIGNIFICANT bottleneck introduced by fix for SPARK-34497
[ https://issues.apache.org/jira/browse/SPARK-37391?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17447162#comment-17447162 ]
Hyukjin Kwon commented on SPARK-37391:
--------------------------------------
[~danny-seismic], it would be great to assess this issue futher with problem description and preferably self-contained reproducer
> SIGNIFICANT bottleneck introduced by fix for SPARK-34497
> --------------------------------------------------------
>
> Key: SPARK-37391
> URL: https://issues.apache.org/jira/browse/SPARK-37391
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.0, 3.1.1, 3.1.2, 3.2.0
> Environment: N/A
> Reporter: Danny Guinther
> Priority: Major
>
> The fix for SPARK-34497 ( [https://github.com/apache/spark/pull/31622] ) does not seem to have consider the reality that some apps may rely on being able to establish many JDBC connections simultaneously for performance reasons.
> The fix forces concurrency to 1 when establishing database connections and that strikes me as a *significant* user impacting change and a *significant* bottleneck.
> Can anyone propose a workaround for this? I have an app that makes connections to thousands of databases and I can't upgrade to any version >3.1.x because of this significant bottleneck.
>
> Thanks in advance for your help!
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