[ 
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]

Reply via email to