[
https://issues.apache.org/jira/browse/SPARK-25302?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16599563#comment-16599563
]
Nikunj Bansal commented on SPARK-25302:
---------------------------------------
See also related issue SPARK-25303
> ReducedWindowedDStream not using checkpoints for reduced RDDs
> -------------------------------------------------------------
>
> Key: SPARK-25302
> URL: https://issues.apache.org/jira/browse/SPARK-25302
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.2.0,
> 2.2.1, 2.2.2, 2.3.0, 2.3.1
> Reporter: Nikunj Bansal
> Priority: Major
> Labels: Streaming, streaming
>
> When using reduceByKeyAndWindow() using inverse reduce function, it
> eventually creates a ReducedWindowedDStream. This class creates a
> reducedDStream but only persists it and does not checkpoint it. The result is
> that it ends up using cached RDDs and does not cut lineage to the input
> DStream resulting in eventually caching the input RDDs for much longer than
> they are needed.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
