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From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-14766) Cloudup: an object store high performance dfs put command
Date Mon, 04 Dec 2017 14:15:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-14766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steve Loughran updated HADOOP-14766:
------------------------------------
    Status: Open  (was: Patch Available)

Cancelling as I've been doing work in the external branch; this patch is out of date

> Cloudup: an object store high performance dfs put command
> ---------------------------------------------------------
>
>                 Key: HADOOP-14766
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14766
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs, fs/azure, fs/s3
>    Affects Versions: 2.8.1
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>            Priority: Minor
>         Attachments: HADOOP-14766-001.patch, HADOOP-14766-002.patch
>
>
> {{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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