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Posted to issues@spark.apache.org by "jingxiong zhong (Jira)" <ji...@apache.org> on 2023/03/29 03:17:00 UTC

[jira] [Resolved] (SPARK-39967) Instead of using the scalar tasksSuccessful, use the successful array to calculate whether the task is completed

     [ https://issues.apache.org/jira/browse/SPARK-39967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

jingxiong zhong resolved SPARK-39967.
-------------------------------------
    Resolution: Fixed

New version not reproduced

 

> Instead of using the scalar tasksSuccessful, use the successful array to calculate whether the task is completed
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-39967
>                 URL: https://issues.apache.org/jira/browse/SPARK-39967
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.4.3, 2.4.6
>            Reporter: jingxiong zhong
>            Priority: Critical
>         Attachments: spark1-1.png, spark2.png, spark3-1.png
>
>
> When counting the number of successful tasks in the stage of spark, spark uses the indicator of `tasksSuccessful`, but in fact, the success or failure of tasks is based on the array of `successful`. Through the log I added, it is found that the number of failed tasks counted by `tasksSuccessful` is inconsistent with the number of failures stored in the array of `successful`. We should take `successful` as the standard.



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