daimin created HDFS-16422:
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Summary: Fix thread safety of EC decoding during concurrent preads
Key: HDFS-16422
URL: https://issues.apache.org/jira/browse/HDFS-16422
Project: Hadoop HDFS
Issue Type: B
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https://issues.apache.org/jira/browse/HDFS-16043?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiaoqiao He resolved HDFS-16043.
Fix Version/s: 3.4.0
Hadoop Flags: Reviewed
Resolution: Fixed
Committed to trunk. Will
Xiangyi Zhu created HDFS-16421:
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Summary: RouterRpcFairnessConstants remove ConcurrentNS
Key: HDFS-16421
URL: https://issues.apache.org/jira/browse/HDFS-16421
Project: Hadoop HDFS
Issue Type: I
For more details, see
https://ci-hadoop.apache.org/job/hadoop-qbt-trunk-java8-linux-x86_64/748/
[Jan 11, 2022 6:38:59 AM] (noreply) YARN-10632. Make auto queue creation
maximum allowed depth configurable (#3859)
-1 overall
The following subsystems voted -1:
blanks pathlen unit xml
Th
DirectBufferPool does the weak refs effectively, but it only recycles
buffers of the same size; the elastic one will return the first largest
buffer.
I think we may want to have a variant of the ElasticBufferPool which uses
weak refs..we can adopt that and leave the (old) one alone. It is marked a
Thanks for discussing this, Mukund.
Another difference between the 2 classes is that ElasticByteBufferPool
supports a caller's preference for either on-heap or off-heap buffers and
internally calls either allocate or allocateDirect. Do you intend to
preserve that functionality too in a single merg
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https://issues.apache.org/jira/browse/HDFS-16419?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gautham Banasandra resolved HDFS-16419.
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Resolution: Fixed
Merged https://github.com/apache/hadoop/pull/3873 to trunk.
> Make
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https://issues.apache.org/jira/browse/HDFS-16019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangyi Zhu resolved HDFS-16019.
Resolution: Later
> HDFS: Inode CheckPoint
> ---
>
> Key: HDFS
Hello Everyone,
I was just browsing through the code while doing my Vectored IO stuff. It
seems like ElasticByteBufferPool is an ever growing pool and memory is not
getting released as there is no WeakReference being maintained in the pool.
This can cause memory leaks in the production environment.
For more details, see
https://ci-hadoop.apache.org/job/hadoop-qbt-branch-2.10-java7-linux-x86_64/540/
No changes
-1 overall
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