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Posted to common-issues@hadoop.apache.org by "Steve Loughran (Jira)" <ji...@apache.org> on 2023/09/01 10:32:00 UTC
[jira] [Commented] (HADOOP-18876) ABFS: Change default from disk to bytebuffer for fs.azure.data.blocks.buffer
[ https://issues.apache.org/jira/browse/HADOOP-18876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17761264#comment-17761264 ]
Steve Loughran commented on HADOOP-18876:
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how many tests were run with spark/hive jobs with many threads writing at the same time?
as that is the problem a move to disk delivered: we stopped running OOM
if you want to buffer in memory, we have to limit the #of buffers to something really small, like 2 blocks, including the one being written
> ABFS: Change default from disk to bytebuffer for fs.azure.data.blocks.buffer
> ----------------------------------------------------------------------------
>
> Key: HADOOP-18876
> URL: https://issues.apache.org/jira/browse/HADOOP-18876
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: build
> Affects Versions: 3.3.6
> Reporter: Anmol Asrani
> Priority: Major
> Labels: pull-request-available
> Fix For: 3.3.6
>
>
> Change default from disk to bytebuffer for fs.azure.data.blocks.buffer.
> Gathered from multiple workload runs, the presented data underscores a noteworthy enhancement in performance. The adoption of ByteBuffer for *reading operations* exhibited a remarkable improvement of approximately *64.83%* when compared to traditional disk-based reading. Similarly, the implementation of ByteBuffer for *write operations* yielded a substantial efficiency gain of about {*}60.75%{*}. These findings underscore the consistent and substantial advantages of integrating ByteBuffer across a range of workload scenarios.
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