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https://issues.apache.org/jira/browse/SPARK-5147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14280034#comment-14280034
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François Garillot commented on SPARK-5147:
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I see. Thanks for your answers !
For the locality issue, how about running recovery from the WAL as if it was
replication ? In that sense, we would be using the WAL's HDFS write as a
transport mechanism (as it will replicate on 2 other executors), and the
recreating a block at the end point. Perhaps it's worth noting this idea in a
JIRA as a possible future enhancement ?
> write ahead logs from streaming receiver are not purged because
> cleanupOldBlocks in WriteAheadLogBasedBlockHandler is never called
> ----------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-5147
> URL: https://issues.apache.org/jira/browse/SPARK-5147
> Project: Spark
> Issue Type: Sub-task
> Components: Streaming
> Affects Versions: 1.2.0
> Reporter: Max Xu
> Priority: Blocker
>
> Hi all,
> We are running a Spark streaming application with ReliableKafkaReceiver. We
> have "spark.streaming.receiver.writeAheadLog.enable" set to true so write
> ahead logs (WALs) for received data are created under receivedData/streamId
> folder in the checkpoint directory.
> However, old WALs are never purged by time. receivedBlockMetadata and
> checkpoint files are purged correctly though. I went through the code,
> WriteAheadLogBasedBlockHandler class in ReceivedBlockHandler.scala is
> responsible for cleaning up the old blocks. It has method cleanupOldBlocks,
> which is never called by any class. ReceiverSupervisorImpl class holds a
> WriteAheadLogBasedBlockHandler instance. However, it only calls storeBlock
> method to create WALs but never calls cleanupOldBlocks method to purge old
> WALs.
> The size of the WAL folder increases constantly on HDFS. This is preventing
> us from running the ReliableKafkaReceiver 24x7. Can somebody please take a
> look.
> Thanks,
> Max
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