hadoop2.2.0 mapred-site.xml--Job Notification Configuration

<!-- Job Notification Configuration -->

<property> <name>mapreduce.job.end-notification.url</name> <!--<value>http://localhost:8080/jobstatus.php?jobId=$jobId&amp;jobStatus=$jobStatus</value>--> <description>Indicates url which will be called on completion of job to inform              end status of job.              User can give at most 2 variables with URI : $jobId and $jobStatus.              If they are present in URI, then they will be replaced by their              respective values.</description></property>

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<property>  <name>mapreduce.job.end-notification.retry.attempts</name>  <value>0</value>  <description>The number of times the submitter of the job wants to retry job    end notification if it fails. This is capped by    mapreduce.job.end-notification.max.attempts</description></property>

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<property>  <name>mapreduce.job.end-notification.retry.interval</name>  <value>1000</value>  <description>The number of milliseconds the submitter of the job wants to    wait before job end notification is retried if it fails. This is capped by    mapreduce.job.end-notification.max.retry.interval</description></property>

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<property>  <name>mapreduce.job.end-notification.max.attempts</name>  <value>5</value>  <final>true</final>  <description>The maximum number of times a URL will be read for providing job    end notification. Cluster administrators can set this to limit how long    after end of a job, the Application Master waits before exiting. Must be    marked as final to prevent users from overriding this.  </description></property>

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<property>  <name>mapreduce.job.end-notification.max.retry.interval</name>  <value>5000</value>  <final>true</final>  <description>The maximum amount of time (in milliseconds) to wait before     retrying job end notification. Cluster administrators can set this to     limit how long the Application Master waits before exiting. Must be marked     as final to prevent users from overriding this.</description></property>

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<property>  <name>yarn.app.mapreduce.am.env</name>  <value></value>  <description>User added environment variables for the MR App Master   processes. Example :  1) A=foo  This will set the env variable A to foo  2) B=$B:c This is inherit tasktracker's B env variable.    </description></property>

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<property>  <name>yarn.app.mapreduce.am.command-opts</name>  <value>-Xmx1024m</value>  <description>Java opts for the MR App Master processes.    The following symbol, if present, will be interpolated: @taskid@ is replaced   by current TaskID. Any other occurrences of '@' will go unchanged.  For example, to enable verbose gc logging to a file named for the taskid in  /tmp and to set the heap maximum to be a gigabyte, pass a 'value' of:        -Xmx1024m -verbose:gc -Xloggc:/tmp/@taskid@.gc    Usage of -Djava.library.path can cause programs to no longer function if  hadoop native libraries are used. These values should instead be set as part   of LD_LIBRARY_PATH in the map / reduce JVM env using the mapreduce.map.env and   mapreduce.reduce.env config settings.   </description></property>

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<property>  <name>yarn.app.mapreduce.am.admin-command-opts</name>  <value></value>  <description>Java opts for the MR App Master processes for admin purposes.  It will appears before the opts set by yarn.app.mapreduce.am.command-opts and  thus its options can be overridden user.     Usage of -Djava.library.path can cause programs to no longer function if  hadoop native libraries are used. These values should instead be set as part   of LD_LIBRARY_PATH in the map / reduce JVM env using the mapreduce.map.env and   mapreduce.reduce.env config settings.   </description></property>

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<property>  <name>yarn.app.mapreduce.am.job.task.listener.thread-count</name>  <value>30</value>  <description>The number of threads used to handle RPC calls in the     MR AppMaster from remote tasks</description></property>

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<property>  <name>yarn.app.mapreduce.am.job.client.port-range</name>  <value></value>  <description>Range of ports that the MapReduce AM can use when binding.    Leave blank if you want all possible ports.      For example 50000-50050,50100-50200</description></property>

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<property>  <name>yarn.app.mapreduce.am.job.committer.cancel-timeout</name>  <value>60000</value>  <description>The amount of time in milliseconds to wait for the output    committer to cancel an operation if the job is killed</description></property>

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<property>  <name>yarn.app.mapreduce.am.job.committer.commit-window</name>  <value>10000</value>  <description>Defines a time window in milliseconds for output commit  operations.  If contact with the RM has occurred within this window then  commits are allowed, otherwise the AM will not allow output commits until  contact with the RM has been re-established.</description></property>

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<property>  <name>yarn.app.mapreduce.am.scheduler.heartbeat.interval-ms</name>  <value>1000</value>  <description>The interval in ms at which the MR AppMaster should send    heartbeats to the ResourceManager</description></property>

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<property>  <name>yarn.app.mapreduce.client-am.ipc.max-retries</name>  <value>1</value>  <description>The number of client retries to the AM - before reconnecting    to the RM to fetch Application Status.</description></property>

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<property>  <name>yarn.app.mapreduce.client.max-retries</name>  <value>3</value>  <description>The number of client retries to the RM/HS/AM before    throwing exception. This is a layer above the ipc.</description></property>

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<property>  <name>yarn.app.mapreduce.am.resource.mb</name>  <value>1536</value>  <description>The amount of memory the MR AppMaster needs.</description></property>

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