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https://issues.apache.org/jira/browse/HADOOP-19363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17922124#comment-17922124
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ASF GitHub Bot commented on HADOOP-19363:
-----------------------------------------

stubz151 opened a new pull request, #7336:
URL: https://github.com/apache/hadoop/pull/7336

   ### Description of PR
   We updated AAL 
https://github.com/awslabs/analytics-accelerator-s3/pull/209/files to throw an 
IO exception here and we need to update the signature for the class
   
   ### How was this patch tested?
   Tested with the testNotFoundFirstRead test because I know that test 
non-existing files. Any other recommend integ tests to run? 
   
   ### For code changes:
   
   - [x] Does the title or this PR starts with the corresponding JIRA issue id 
(e.g. 'HADOOP-17799. Your PR title ...')?
      no merging into a feature branch
   - [ x] Object storage: have the integration tests been executed and the 
endpoint declared according to the connector-specific documentation?
   - [ x] If adding new dependencies to the code, are these dependencies 
licensed in a way that is compatible for inclusion under [ASF 
2.0](http://www.apache.org/legal/resolved.html#category-a)?
   - [ x] If applicable, have you updated the `LICENSE`, `LICENSE-binary`, 
`NOTICE-binary` files?
   
   




> Support analytics-accelerator-s3 input streams for parquet read performance
> ---------------------------------------------------------------------------
>
>                 Key: HADOOP-19363
>                 URL: https://issues.apache.org/jira/browse/HADOOP-19363
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs/s3
>    Affects Versions: 3.5.0
>            Reporter: Ahmar Suhail
>            Priority: Major
>             Fix For: 3.4.2
>
>
> S3 recently released [Analytics Accelerator Library for Amazon 
> S3|https://github.com/awslabs/analytics-accelerator-s3] as an Alpha release, 
> which is an input stream, with an initial goal of improving performance for 
> Apache Spark workloads on Parquet datasets. 
>  
> This tracks stabilisation work of this integration into S3A.



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