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https://issues.apache.org/jira/browse/SPARK-39967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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jingxiong zhong updated SPARK-39967:
Description: 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. (was: 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, 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.)
> 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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