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Posted to common-issues@hadoop.apache.org by "Daniel Carl Jones (Jira)" <ji...@apache.org> on 2022/06/30 10:52:00 UTC

[jira] [Updated] (HADOOP-18218) Ensure S3A prefetching stream memory consumption scales

     [ https://issues.apache.org/jira/browse/HADOOP-18218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Daniel Carl Jones updated HADOOP-18218:
---------------------------------------
    Summary: Ensure S3A prefetching stream memory consumption scales  (was: Ensure S3A prefetching stream memory and disk consumption scales)

> Ensure S3A prefetching stream memory consumption scales
> -------------------------------------------------------
>
>                 Key: HADOOP-18218
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18218
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.3.9
>            Reporter: Steve Loughran
>            Priority: Major
>
> A recurrent problem in cloud store IO is running out of memory because blocks are buffered in reads or writes.
> We need to make sure that data/memory is managed in the prefetch code such that it works in processes with many worker threads (hive, spark....) and does not exhaust resources.



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