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https://issues.apache.org/jira/browse/SPARK-48928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mridul Muralidharan resolved SPARK-48928.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 47391
[https://github.com/apache/spark/pull/47391]
> Log Warning for Calling .unpersist() on Locally Checkpointed RDDs
> -----------------------------------------------------------------
>
> Key: SPARK-48928
> URL: https://issues.apache.org/jira/browse/SPARK-48928
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 4.0.0
> Reporter: Mingkang Li
> Assignee: Mingkang Li
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> *Summary:*
> This change proposes to log a warning message when the {{.unpersist()}}
> method is called on RDDs that have been locally checkpointed in Apache Spark.
> This aims to inform users about the potential risks of unpersisting such RDDs
> without altering the existing behavior of the method.
> *Background:*
> Local checkpointing in Spark truncates the lineage of an RDD, meaning that
> the RDD cannot be recomputed from its source. If an RDD that has been locally
> checkpointed is unpersisted, it loses its data and cannot be regenerated.
> This can lead to job failures if subsequent actions or transformations are
> attempted on the unpersisted RDD.
> *Proposed Change:*
> To mitigate this issue, a warning message will be logged whenever
> {{.unpersist()}} is called on a locally checkpointed RDD. This approach
> maintains the current functionality while alerting users to the potential
> consequences of their actions. This change is intended to be non-disruptive
> and is a step towards better user awareness and debugging.
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