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Posted to common-issues@hadoop.apache.org by "Steve Loughran (Jira)" <ji...@apache.org> on 2022/03/28 18:27:00 UTC
[jira] (HADOOP-18028) High performance S3A input stream with prefetching & caching
[ https://issues.apache.org/jira/browse/HADOOP-18028 ]
Steve Loughran deleted comment on HADOOP-18028:
-----------------------------------------
was (Author: stevel@apache.org):
prefetchBlockSize to use longBytesOption so that you can set a value like "64M"
> 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: 13.5h
> 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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