[jira] Updated: (HADOOP-4577) Add Jar "lib" directory to TaskRunner's library.path setting to allow JNI libraries to be deployed via JAR file

["Ahad Rana (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-4577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ahad Rana updated HADOOP-4577:
------------------------------

    Status: Open  (was: Patch Available)

> Add Jar "lib" directory to TaskRunner's library.path setting to allow JNI libraries to be deployed via JAR file  
> -----------------------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-4577
>                 URL: https://issues.apache.org/jira/browse/HADOOP-4577
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.18.1
>         Environment: Hadoop 18.1 Cluster with custom JNI shared libraries deployed in lib directory of deployment JAR.
>            Reporter: Ahad Rana
>            Assignee: Ahad Rana
>             Fix For: 0.18.3
>
>
> It is extremely convenient to be able to deploy JNI libraries utilized in a custom map-reduce job via the job's JAR file. The TaskRunner already establishes a precedent by automatically adding any jar files contained in the "lib" directory of the job jar to the child map/reduce process's classpath. Following this convention, it should also be possible to deploy custom JNI libraries in the same lib directory. This involves adding the path to the job jar's lib directory to the VM's library.path setting (after the jar has been expanded in the job cache directory). This does not elimintate the need add dependent shared libraries that may be referenced by the JNI libraries to the system's LD_LIBRARY_PATH variable. In our deployment configuration, we usually pre-install third party shared libraries across the cluster and only deploy our custom JNI libraries via the job jar.

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