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https://issues.apache.org/jira/browse/HADOOP-18218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17560980#comment-17560980
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Daniel Carl Jones commented on HADOOP-18218:
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I'll scope this ticket down to focus on memory consumption. HADOOP-18291
highlights that there is no limits or clean-up for the disk cache.
> 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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