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https://issues.apache.org/jira/browse/HADOOP-16132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Justin Uang updated HADOOP-16132:
---------------------------------
Description:
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.
It would be great to get some other eyes on it to see what we need to do to get
it merged.
was:
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.
It would be great to get some other eyes on it to see what we need to do to get
it merged.
> Support multipart download in S3AFileSystem
> -------------------------------------------
>
> Key: HADOOP-16132
> URL: https://issues.apache.org/jira/browse/HADOOP-16132
> Project: Hadoop Common
> Issue Type: Improvement
> Reporter: Justin Uang
> Priority: Major
>
> 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.
> 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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