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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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