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https://issues.apache.org/jira/browse/SPARK-23474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16372293#comment-16372293
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Gabor Somogyi commented on SPARK-23474:
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[~DLanza] could you share your smallest example? My app works like charm in
local mode.
> 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 García
> Priority: Major
>
> 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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