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Posted to common-issues@hadoop.apache.org by "Sneha Vijayarajan (Jira)" <ji...@apache.org> on 2020/10/07 22:54:00 UTC
[jira] [Updated] (HADOOP-17296) ABFS: Allow Random Reads to be of
Buffer Size
[ https://issues.apache.org/jira/browse/HADOOP-17296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sneha Vijayarajan updated HADOOP-17296:
---------------------------------------
Status: Patch Available (was: Open)
> ABFS: Allow Random Reads to be of Buffer Size
> ---------------------------------------------
>
> Key: HADOOP-17296
> URL: https://issues.apache.org/jira/browse/HADOOP-17296
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/azure
> Affects Versions: 3.3.0
> Reporter: Sneha Vijayarajan
> Assignee: Sneha Vijayarajan
> Priority: Major
> Labels: abfsactive
>
> ADLS Gen2/ABFS driver is optimized to read only the bytes that are requested for when the read pattern is random.
> It was observed in some spark jobs that though the reads are random, the next read doesn't skip by a lot and can be served by the earlier read if read was done in buffer size. As a result the job triggered a higher count of read calls and resulted in higher job runtime.
> When these jobs were run against Gen1 which always reads in buffer size , the jobs fared well.
> In this Jira we try to provide a control over config on random read to be of requested size or buffer size.
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