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https://issues.apache.org/jira/browse/HDFS-17670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17927608#comment-17927608
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ASF GitHub Bot commented on HDFS-17670:
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EungsopYoo commented on PR #7168:
URL: https://github.com/apache/hadoop/pull/7168#issuecomment-2662083978
https://issues.apache.org/jira/browse/HDFS-17670
I have updated the results after applying this PR.
> HDFS Client's direct memory leaks with erasure coding enabled
> -------------------------------------------------------------
>
> Key: HDFS-17670
> URL: https://issues.apache.org/jira/browse/HDFS-17670
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: erasure-coding
> Reporter: Eungsop Yoo
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2024-11-18-13-53-23-690.png,
> image-2025-02-17-13-59-03-004.png
>
>
> We are testing erasure coding with HBase. But we faced that the size of
> direct memory of HBase RegionServer keep growing.
> !image-2024-11-18-13-53-23-690.png!
> It is caused by that the direct memory allocated by ElasticByteBufferPool of
> HDFS client is never released.
> https://issues.apache.org/jira/browse/HADOOP-18105
> We found that we already have the solution,
> WeakReferencedElasticByteBufferPool.
> Just replace ElasticByteBufferPool with WeakReferencedElasticByteBufferPool.
>
>
> PS. I applied this patch to my production HBase cluster using EC. It worked
> but the result was somewhat different from my expectations.
>
> [https://github.com/apache/hadoop/blob/trunk/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/erasurecode/rawcoder/NativeRSRawEncoder.java#L65-L68]
> Each store file allocates 6MB direct memory by NativeRSRawEncoder class, so
> if there are 1000 store files in a single RS, the RS occupies about 6GB of
> direct memory. We have to be careful to configure sufficient RAM to serve
> store files for EC enabled HBase clusters.
> !image-2025-02-17-13-59-03-004.png!
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