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https://issues.apache.org/jira/browse/HADOOP-17250?focusedWorklogId=485663&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-485663
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ASF GitHub Bot logged work on HADOOP-17250:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 17/Sep/20 11:05
            Start Date: 17/Sep/20 11:05
    Worklog Time Spent: 10m 
      Work Description: mukund-thakur commented on pull request #2307:
URL: https://github.com/apache/hadoop/pull/2307#issuecomment-694159756


   This is the output of performance benchmark done with this patch along with 
some hive tuning. 
   NOTE : Results may differ now. 
   <img width="1313" alt="Screenshot 2020-09-17 at 4 28 59 PM" 
src="https://user-images.githubusercontent.com/10720944/93462153-7caaae00-f903-11ea-81ca-eed62fae7858.png";>
   


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 485663)
    Time Spent: 1h 20m  (was: 1h 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, pull-request-available
>          Time Spent: 1h 20m
>  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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