[jira] [Updated] (MAPREDUCE-5278) Perf: Distributed cache is broken when JT staging dir is not on the default FS

["Xi Fang (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAPREDUCE-5278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xi Fang updated MAPREDUCE-5278:
-------------------------------

    Attachment: MAPREDUCE-5278.patch

A patch is attached. 

In this patch, we added a property called "mapreduce.client.accessible.remote.schemes." It specifies the schemes of the file systems that are accessible from all the nodes in the cluster. This is used by the job client to avoid copying distributed cache entries to the job staging dir if path is accessible (See JobClient#copyRemoteFiles() ).

For example, on Windows Azure, a path that has ASV as its scheme is accessible from all the nodes in the cluster. "mapreduce.client.accessible.remote.schemes" can be set to "ASV". 

The change in this patch is passive, meaning that it won’t take effect unless this property is enabled thru configuration. 
                
> Perf: Distributed cache is broken when JT staging dir is not on the default FS
> ------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-5278
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5278
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: distributed-cache
>    Affects Versions: 1-win
>         Environment: Windows
>            Reporter: Xi Fang
>            Assignee: Xi Fang
>         Attachments: MAPREDUCE-5278.patch
>
>
> Today, the JobTracker staging dir ("mapreduce.jobtracker.staging.root.dir) is set to point to HDFS, even though other file systems (e.g. Amazon S3 file system and Windows ASV file system) are the default file systems.
> For ASV, this config was chosen and there are a few reasons why:
> 1. To prevent leak of the storage account credentials to the user's storage account; 
> 2. It uses HDFS for the transient job files what is good for two reasons – a) it does not flood the user's storage account with irrelevant data/files b) it leverages HDFS locality for small files
> However, this approach conflicts with how distributed cache caching works, completely negating the feature's functionality.
> When files are added to the distributed cache (thru files/achieves/libjars hadoop generic options), they are copied to the job tracker staging dir only if they reside on a file system different that the jobtracker's. Later on, this path is used as a "key" to cache the files locally on the tasktracker's machine, and avoid localization (download/unzip) of the distributed cache files if they are already localized.
> In this configuration the caching is completely disabled and we always end up copying dist cache files to the job tracker's staging dir first and localizing them on the task tracker machine second.
> This is especially not good for Oozie scenarios as Oozie uses dist cache to populate Hive/Pig jars throughout the cluster.

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