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https://issues.apache.org/jira/browse/HADOOP-19348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17930592#comment-17930592
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ASF GitHub Bot commented on HADOOP-19348:
-----------------------------------------

ahmarsuhail opened a new pull request, #7433:
URL: https://github.com/apache/hadoop/pull/7433

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   ### Description of PR
   
   Copy of https://github.com/apache/hadoop/pull/7334, checking if a new PR 
from a new branch keeps yetus happy.
   
   ### How was this patch tested?
   
   
   ### For code changes:
   
   - [ ] Does the title or this PR starts with the corresponding JIRA issue id 
(e.g. 'HADOOP-17799. Your PR title ...')?
   - [ ] Object storage: have the integration tests been executed and the 
endpoint declared according to the connector-specific documentation?
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> S3A: Add initial support for analytics-accelerator-s3
> -----------------------------------------------------
>
>                 Key: HADOOP-19348
>                 URL: https://issues.apache.org/jira/browse/HADOOP-19348
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.4.2
>            Reporter: Ahmar Suhail
>            Priority: Major
>              Labels: pull-request-available
>
> 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. 
> For example, it implements optimisations such as footer prefetching, and so 
> avoids the multiple GETS S3AInputStream currently makes for the footer bytes 
> and PageIndex structures.
> The library also tracks columns currently being read by a query using the 
> parquet metadata, and then prefetches these bytes when parquet files with the 
> same schema are opened. 
> This ticket tracks the work required for the basic initial integration. There 
> is still more work to be done, such as VectoredIO support etc, which we will 
> identify and follow up with. 



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