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Posted to common-issues@hadoop.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2023/05/04 18:41:00 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=17719484#comment-17719484 ]
ASF GitHub Bot commented on HADOOP-18028:
-----------------------------------------
steveloughran closed pull request #5605: HADOOP-18028. High performance S3A input stream (#4752)
URL: https://github.com/apache/hadoop/pull/5605
> 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
> Fix For: 3.4.0, 3.3.9
>
> Time Spent: 14.5h
> 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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