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https://issues.apache.org/jira/browse/HADOOP-17250?focusedWorklogId=484529&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-484529
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ASF GitHub Bot logged work on HADOOP-17250:
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Author: ASF GitHub Bot
Created on: 15/Sep/20 14:28
Start Date: 15/Sep/20 14:28
Worklog Time Spent: 10m
Work Description: mukund-thakur opened a new pull request #2307:
URL: https://github.com/apache/hadoop/pull/2307
Introducing fs.azure.readahead.range parameter which can be set by user.
Data will be populated in buffer for random reads as well which leads to
lesser
remote calls.
This patch also changes the seek implementation to perform a lazy seek.
Actual
seek is done when a read is initiated and data is not present in buffer else
date is returned from buffer thus reducing the number of remote calls.
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Issue Time Tracking
-------------------
Worklog Id: (was: 484529)
Remaining Estimate: 0h
Time Spent: 10m
> ABFS: Allow random read sizes to be of buffer size
> --------------------------------------------------
>
> Key: HADOOP-17250
> URL: https://issues.apache.org/jira/browse/HADOOP-17250
> 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
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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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