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https://issues.apache.org/jira/browse/HADOOP-14766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16124640#comment-16124640
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Steve Loughran commented on HADOOP-14766:
-----------------------------------------

This doesn't have to be s3a/blobstore specific BTW, a fastput with parallel 
upload and shuffled source file list would work for all, and anything which 
implemented copyFromLocalFile() would get the speedup they've implemented.

Also: be good to take a text file listing of all files to upload, so you could 
have something to build lists of files to commit rather than a full recursive 
copy of everything

> add an object store high performance hdfs put command
> -----------------------------------------------------
>
>                 Key: HADOOP-14766
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14766
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs, fs/s3
>    Affects Versions: 2.8.1
>            Reporter: Steve Loughran
>
> {{hdfs put local s3a://path}} is suboptimal as it treewalks down down the 
> source tree then, sequentially, copies up the file through copying the file 
> (opened as a stream) contents to a buffer, writes that to the dest file, 
> repeats.
> For S3A that hurts because
> * it;s doing the upload inefficiently: the file can be uploaded just by 
> handling the pathname to the AWS xter manager
> * it is doing it sequentially, when some parallelised upload would work. 
> * as the ordering of the files to upload is a recursive treewalk, it doesn't 
> spread the upload across multiple shards. 
> Better:
> * build the list of files to upload
> * upload in parallel, picking entries from the list at random and spreading 
> across a pool of uploaders
> * upload straight from local file (copyFromLocalFile()
> * track IO load (files created/second) to estimate risk of throttling.



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