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From "Justin Uang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-16132) Support multipart download in S3AFileSystem
Date Fri, 01 Mar 2019 20:17:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-16132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Justin Uang updated HADOOP-16132:
    Attachment: HADOOP-16132.004.patch
        Status: Patch Available  (was: Open)

> Support multipart download in S3AFileSystem
> -------------------------------------------
>                 Key: HADOOP-16132
>                 URL: https://issues.apache.org/jira/browse/HADOOP-16132
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>            Reporter: Justin Uang
>            Priority: Major
>         Attachments: HADOOP-16132.001.patch, HADOOP-16132.002.patch, HADOOP-16132.003.patch,
HADOOP-16132.004.patch, seek-logs-parquet.txt
> I noticed that I get 150MB/s when I use the AWS CLI
> {code:java}
> aws s3 cp s3://<bucket>/<key> - > /dev/null{code}
> vs 50MB/s when I use the S3AFileSystem
> {code:java}
> hadoop fs -cat s3://<bucket>/<key> > /dev/null{code}
> Looking into the AWS CLI code, it looks like the [download|https://github.com/boto/s3transfer/blob/ca0b708ea8a6a1213c6e21ca5a856e184f824334/s3transfer/download.py] logic
is quite clever. It downloads the next couple parts in parallel using range requests, and
then buffers them in memory in order to reorder them and expose a single contiguous stream.
I translated the logic to Java and modified the S3AFileSystem to do similar things, and am
able to achieve 150MB/s download speeds as well. It is mostly done but I have some things
to clean up first. The PR is here: https://github.com/palantir/hadoop/pull/47/files
> It would be great to get some other eyes on it to see what we need to do to get it merged.

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