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Posted to issues@spark.apache.org by "JacobZheng (Jira)" <ji...@apache.org> on 2022/03/29 08:48:00 UTC
[jira] [Updated] (SPARK-38682) Complex calculations with lead to driver oom
[ https://issues.apache.org/jira/browse/SPARK-38682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
JacobZheng updated SPARK-38682:
-------------------------------
Description:
My spark job is working fine in version 3.0.1. After I upgraded to 3.2, the driver would hang during runtime due to oom. The dump file shows that the stageMetrics in SQLAppStatusListener are taking up a lot of memory.I'm wondering if it's related to the SPARK-33016 change, or if the execution plan change has created more stages, causing the driver to run out of memory, or some other reason.
!screenshot-1.png!
was:
My spark job is working fine in version 3.0.1. After I upgraded to 3.2, the driver would hang during runtime due to oom. The dump file shows that the stageMetrics in SQLAppStatusListener are taking up a lot of memory.I'm wondering if it's related to the SPARK-33016 change, or if the execution plan change has created more stages, causing the driver to run out of memory, or some other reason.
> Complex calculations with lead to driver oom
> ---------------------------------------------
>
> Key: SPARK-38682
> URL: https://issues.apache.org/jira/browse/SPARK-38682
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: JacobZheng
> Priority: Major
> Attachments: 20220329164645.jpg, screenshot-1.png
>
>
> My spark job is working fine in version 3.0.1. After I upgraded to 3.2, the driver would hang during runtime due to oom. The dump file shows that the stageMetrics in SQLAppStatusListener are taking up a lot of memory.I'm wondering if it's related to the SPARK-33016 change, or if the execution plan change has created more stages, causing the driver to run out of memory, or some other reason.
> !screenshot-1.png!
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