[
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.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]