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https://issues.apache.org/jira/browse/HADOOP-18028?focusedWorklogId=748351&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-748351
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ASF GitHub Bot logged work on HADOOP-18028:
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Author: ASF GitHub Bot
Created on: 27/Mar/22 17:36
Start Date: 27/Mar/22 17:36
Worklog Time Spent: 10m
Work Description: pjfanning edited a comment on pull request #4109:
URL: https://github.com/apache/hadoop/pull/4109#issuecomment-1079981138
@steveloughran twitter futures should be fairly easily replaced with [Java
futures](https://docs.oracle.com/javase/8/docs/api/java/util/concurrent/Future.html)
* this seems to a fairly good description of the twitter FuturePool -
https://blog.knoldus.com/twitter-future-in-scala/
* should be possible to port it to Java easily enough
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Issue Time Tracking
-------------------
Worklog Id: (was: 748351)
Time Spent: 13h (was: 12h 50m)
> 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
> 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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