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Posted to commits@hudi.apache.org by "sivabalan narayanan (Jira)" <ji...@apache.org> on 2022/10/23 00:16:00 UTC
[jira] [Updated] (HUDI-5080) UnpersistRdds unpersist all rdds in the spark context
[ https://issues.apache.org/jira/browse/HUDI-5080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sivabalan narayanan updated HUDI-5080:
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Fix Version/s: 0.12.2
> UnpersistRdds unpersist all rdds in the spark context
> -----------------------------------------------------
>
> Key: HUDI-5080
> URL: https://issues.apache.org/jira/browse/HUDI-5080
> Project: Apache Hudi
> Issue Type: Bug
> Components: writer-core
> Reporter: sivabalan narayanan
> Assignee: sivabalan narayanan
> Priority: Major
> Fix For: 0.12.2
>
>
> In SparkRDDWriteClient, we have a method to clean up persisted Rdds to free up the space occupied.
> [https://github.com/apache/hudi/blob/b78c3441c4e28200abec340eaff852375764cbdb/hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/SparkRDDWriteClient.java#L584]
> But the issue is, it cleans up all persisted rdds in the given spark context. This will impact, async compaction or any other async table services running.
> or even if there are multiple streams writing to different tables, this will be cause a huge impact.
>
>
>
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