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Posted to common-issues@hadoop.apache.org by "Steve Loughran (Jira)" <ji...@apache.org> on 2025/05/07 16:16:00 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=17950058#comment-17950058 ] 

Steve Loughran commented on HADOOP-18876:
-----------------------------------------

[~asrani_anmol] has anyone ever at all complained about running out of memory?

> 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
>            Assignee: Anmol Asrani
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 3.4.0
>
>
> 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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