[
https://issues.apache.org/jira/browse/SPARK-40441?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
SimonAries updated SPARK-40441:
-------------------------------
Description:
This caused the data skew to be very serious, and I did repartition operation
before executing the data
!image-2022-09-15-14-29-35-004.png!
!image-2022-09-15-14-28-04-332.png!
was:
This caused the data skew to be very serious, and I did repartition operation
before executing the data
!image-2022-09-15-14-27-26-053.png!
!image-2022-09-15-14-28-04-332.png!
> With PANDAS_UDF, data from tasks on the same physical node is aggregated into
> one task execution, resulting in concurrency not being fully utilized
> ---------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-40441
> URL: https://issues.apache.org/jira/browse/SPARK-40441
> Project: Spark
> Issue Type: Bug
> Components: Pandas API on Spark, PySpark, Scheduler
> Affects Versions: 2.4.4
> Reporter: SimonAries
> Priority: Major
> Attachments: image-2022-09-15-14-28-04-332.png,
> image-2022-09-15-14-29-35-004.png
>
>
> This caused the data skew to be very serious, and I did repartition operation
> before executing the data
> !image-2022-09-15-14-29-35-004.png!
> !image-2022-09-15-14-28-04-332.png!
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
