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https://issues.apache.org/jira/browse/HADOOP-11867?focusedWorklogId=657332&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-657332
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ASF GitHub Bot logged work on HADOOP-11867:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 29/Sep/21 15:42
            Start Date: 29/Sep/21 15:42
    Worklog Time Spent: 10m 
      Work Description: steveloughran commented on pull request #3499:
URL: https://github.com/apache/hadoop/pull/3499#issuecomment-930298150


   Quick review. 
   * needs filesystem spec
   * and a contract test
   * test to include 
     -overlapping ranges
     -beyond file length
     -negative values
     -on heap and off heap buffers
   
   * be good to have a PoC of the s3a one, so that we can happy the API xfers 
to the store
   * and some ORC/parquet branch which shows it can be used
   * is there any API we'd want, e.g an fs command which does a single async 
ranged get
   ```
   hadoop fs ranged -start 0 -end 345  -out output.txt s3a://file
   ```
   would be good for QE tests
   * and we should have a path capability. Anything which supports seek will 
also do this (so ftp won't)
   


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

    Worklog Id:     (was: 657332)
    Time Spent: 7h  (was: 6h 50m)

> FS API: Add a high-performance vectored Read to FSDataInputStream API
> ---------------------------------------------------------------------
>
>                 Key: HADOOP-11867
>                 URL: https://issues.apache.org/jira/browse/HADOOP-11867
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs, fs/azure, fs/s3, hdfs-client
>    Affects Versions: 3.0.0
>            Reporter: Gopal Vijayaraghavan
>            Assignee: Owen O'Malley
>            Priority: Major
>              Labels: performance, pull-request-available
>          Time Spent: 7h
>  Remaining Estimate: 0h
>
> The most significant way to read from a filesystem in an efficient way is to 
> let the FileSystem implementation handle the seek behaviour underneath the 
> API to be the most efficient as possible.
> A better approach to the seek problem is to provide a sequence of read 
> locations as part of a single call, while letting the system schedule/plan 
> the reads ahead of time.
> This is exceedingly useful for seek-heavy readers on HDFS, since this allows 
> for potentially optimizing away the seek-gaps within the FSDataInputStream 
> implementation.
> For seek+read systems with even more latency than locally-attached disks, 
> something like a {{readFully(long[] offsets, ByteBuffer[] chunks)}} would 
> take of the seeks internally while reading chunk.remaining() bytes into each 
> chunk (which may be {{slice()}}ed off a bigger buffer).
> The base implementation can stub in this as a sequence of seeks + read() into 
> ByteBuffers, without forcing each FS implementation to override this in any 
> way.



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