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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:15:18 UTC

[jira] [Resolved] (SPARK-23474) mapWithState + async operations = no checkpointing

     [ https://issues.apache.org/jira/browse/SPARK-23474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-23474.
----------------------------------
    Resolution: Incomplete

> mapWithState + async operations = no checkpointing
> --------------------------------------------------
>
>                 Key: SPARK-23474
>                 URL: https://issues.apache.org/jira/browse/SPARK-23474
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 2.2.1
>            Reporter: Daniel Lanza GarcĂ­a
>            Priority: Major
>              Labels: bulk-closed
>
> In my Spark Streaming job I use mapWithState which obligates me to enable checkpointing. A job is trigger in each batch by the operation: stream.foreachRDD(rdd.foreachPartition()).
> Under this situation the job was checkpoinitng every 10 minutes (batches of 1 minute).
> Now, I have changed the output operation to async: stream.foreachRDD(rdd.foreachPartitionAsync()).
> But checkpointing is not taking place... I tried checkpointing the RDD which I map with state, it get checkpointed but does not break the lineage so tasks keeps growing with every batch.



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