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https://issues.apache.org/jira/browse/HADOOP-15262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390620#comment-16390620
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wujinhu commented on HADOOP-15262:
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Attach HADOOP-15262.005.patch! Set a upper limit to waiting list size.
With this patch resolved, users can improve copy performance by increase
*fs.oss.max.copy.threads* and *fs.oss.max.copy.tasks.per.dir*(Old version
copies directory in series). Generally*,* the greater of the
*fs.oss.max.copy.threads* and ** *fs.oss.max.copy.tasks.per.dir***, the
better(if we have enough resources)
Here is one use case that drives us to have this improvement.
Users use spark/tensorFlow/..... to train models and save models file to OSS.
However, the number of the model files is large, so it will be slow when
committing jobs because frameworks will call rename().
> AliyunOSS: rename() to move files in a directory in parallel
> ------------------------------------------------------------
>
> Key: HADOOP-15262
> URL: https://issues.apache.org/jira/browse/HADOOP-15262
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/oss
> Affects Versions: 3.0.0
> Reporter: wujinhu
> Assignee: wujinhu
> Priority: Major
> Fix For: 3.1.0, 2.9.1, 3.0.1
>
> Attachments: HADOOP-15262.001.patch, HADOOP-15262.002.patch,
> HADOOP-15262.003.patch, HADOOP-15262.004.patch, HADOOP-15262.005.patch
>
>
> Currently, rename() operation renames files in series. This will be slow if a
> directory contains many files. So we can improve this by rename files in
> parallel.
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