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https://issues.apache.org/jira/browse/HADOOP-18028?focusedWorklogId=747914&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-747914
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ASF GitHub Bot logged work on HADOOP-18028:
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Author: ASF GitHub Bot
Created on: 25/Mar/22 18:10
Start Date: 25/Mar/22 18:10
Worklog Time Spent: 10m
Work Description: hadoop-yetus removed a comment on pull request #3736:
URL: https://github.com/apache/hadoop/pull/3736#issuecomment-990537861
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Issue Time Tracking
-------------------
Worklog Id: (was: 747914)
Time Spent: 11h 20m (was: 11h 10m)
> improve S3 read speed using 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
> Priority: Major
> Labels: pull-request-available
> Time Spent: 11h 20m
> 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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