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https://issues.apache.org/jira/browse/HADOOP-3722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enis Soztutar reassigned HADOOP-3722:
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Assignee: Enis Soztutar
> Provide a unified way to pass jobconf options from bin/hadoop
> -------------------------------------------------------------
>
> Key: HADOOP-3722
> URL: https://issues.apache.org/jira/browse/HADOOP-3722
> Project: Hadoop Core
> Issue Type: New Feature
> Components: conf
> Reporter: Matei Zaharia
> Assignee: Enis Soztutar
> Priority: Minor
> Attachments: HADOOP-3722.patch
>
>
> Often when running a job it is useful to override some jobconf parameters
> from jobconf.xml for that particular job - for example, setting the job
> priority, setting the number of reduce tasks, setting the HDFS replication
> level, etc. Currently the Hadoop examples, streaming, pipes, etc take these
> extra jobconf parameters in different was: the examples in
> hadoop-examples.jar use -Dkey=value, streaming uses -jobconf key=value, and
> pipes uses -jobconf key1=value1,key2=value2,etc. Things would be simpler if
> bin/hadoop could take the jobconf parameters itself, so that you could run
> for example bin/hadoop -Dkey=value jar [whatever] as well as bin/hadoop
> -Dkey=value pipes [whatever]. This is especially useful when an organization
> needs to require users to use a particular property, e.g. the name of a queue
> to use for scheduling in HADOOP-3445. Otherwise, users may confuse one way of
> passing parameters with another and may not notice that they forgot to
> include certain properties.
> I propose adding support in bin/hadoop for jobconf options to be specified
> with -C key=value. This would have the effect of setting
> hadoop.jobconf.key=value in Java's system properties. The Configuration class
> would then be modified to read any system properties that begin with
> hadoop.jobconf and override the values in hadoop-site.xml.
> I can write a patch for this pretty quickly if the design is sound. If
> there's a better way of specifying jobconf parameters uniformly across Hadoop
> commands, let me know.
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