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Posted to common-issues@hadoop.apache.org by "Steve Loughran (Jira)" <ji...@apache.org> on 2022/06/09 11:56:00 UTC

[jira] [Commented] (HADOOP-18028) High performance S3A input stream with prefetching & caching

    [ https://issues.apache.org/jira/browse/HADOOP-18028?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17552157#comment-17552157 ] 

Steve Loughran commented on HADOOP-18028:
-----------------------------------------

think we might want to review the error handling code; especially what happens if a file is shortened while it is open

> High performance S3A input stream with prefetching & caching
> ------------------------------------------------------------
>
>                 Key: HADOOP-18028
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18028
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs/s3
>            Reporter: Bhalchandra Pandit
>            Assignee: Bhalchandra Pandit
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 13h 50m
>  Remaining Estimate: 0h
>
> I work for Pinterest. I developed a technique for vastly improving read throughput when reading from the S3 file system. It not only helps the sequential read case (like reading a SequenceFile) but also significantly improves read throughput of a random access case (like reading Parquet). This technique has been very useful in significantly improving efficiency of the data processing jobs at Pinterest. 
>  
> I would like to contribute that feature to Apache Hadoop. More details on this technique are available in this blog I wrote recently:
> [https://medium.com/pinterest-engineering/improving-efficiency-and-reducing-runtime-using-s3-read-optimization-b31da4b60fa0]
>  



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