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https://issues.apache.org/jira/browse/FLINK-8534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fabian Hueske updated FLINK-8534:
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Component/s: Local Runtime
> if insert too much BucketEntry into one bucket in join of iteration will
> cause a error (Caused : java.io.FileNotFoundException release file error)
> --------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-8534
> URL: https://issues.apache.org/jira/browse/FLINK-8534
> Project: Flink
> Issue Type: Bug
> Components: Local Runtime
> Environment: windows ideal 8g ram 4core i5 cpu. Flink 1.4.0
> Reporter: zhu.qing
> Priority: Major
> Attachments: T2AdjSetBfs.java
>
>
> When insert too much entry into bucket will cause
> spillPartition(). So
> this.buildSideChannel = ioAccess.createBlockChannelWriter(targetChannel,
> bufferReturnQueue);
> And in
> prepareNextPartition() of reopenablemutable hash table
> furtherPartitioning = true;
> so in
> finalizeProbePhase()
> freeMemory.add(this.probeSideBuffer.getCurrentSegment());
> // delete the spill files
> this.probeSideChannel.close();
> System.out.println("HashPartition probeSideRecordCounter Delete");
> this.buildSideChannel.deleteChannel();
> this.probeSideChannel.deleteChannel();
> after deleteChannel the next iteartion will fail.
>
> And I use web-google as dataset（SNAP）. And I failed to use 16g laptop to
> reproduce the bug. The key to the bug is that you need insert enough entry in
> function insertBucketEntry upto 256 and that cause spillPartition().
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