MAPREDUCE-5130. Fix mapred-default.xml after bad merge.
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/branch-2@1619930 13f79535-47bb-0310-9956-ffa450edef68
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@ -396,6 +396,22 @@
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</description>
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</property>
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<property>
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<name>mapreduce.tasktracker.map.tasks.maximum</name>
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<value>2</value>
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<description>The maximum number of map tasks that will be run
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simultaneously by a task tracker.
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</description>
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</property>
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<property>
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<name>mapreduce.tasktracker.reduce.tasks.maximum</name>
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<value>2</value>
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<description>The maximum number of reduce tasks that will be run
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simultaneously by a task tracker.
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</description>
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</property>
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<property>
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<name>mapreduce.map.memory.mb</name>
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<value>1024</value>
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@ -428,6 +444,36 @@
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</description>
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</property>
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<property>
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<name>mapreduce.jobtracker.retiredjobs.cache.size</name>
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<value>1000</value>
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<description>The number of retired job status to keep in the cache.
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</description>
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</property>
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<property>
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<name>mapreduce.tasktracker.outofband.heartbeat</name>
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<value>false</value>
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<description>Expert: Set this to true to let the tasktracker send an
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out-of-band heartbeat on task-completion for better latency.
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</description>
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</property>
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<property>
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<name>mapreduce.jobtracker.jobhistory.lru.cache.size</name>
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<value>5</value>
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<description>The number of job history files loaded in memory. The jobs are
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loaded when they are first accessed. The cache is cleared based on LRU.
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</description>
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</property>
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<property>
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<name>mapreduce.jobtracker.instrumentation</name>
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<value>org.apache.hadoop.mapred.JobTrackerMetricsInst</value>
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<description>Expert: The instrumentation class to associate with each JobTracker.
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</description>
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</property>
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<property>
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<name>mapred.child.java.opts</name>
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<value>-Xmx200m</value>
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@ -778,21 +824,19 @@
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</description>
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</property>
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<<<<<<< .working
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<property>
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<name>mapreduce.jobtracker.maxtasks.perjob</name>
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<value>-1</value>
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<description>The maximum number of tasks for a single job.
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A value of -1 indicates that there is no maximum. </description>
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</property>
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=======
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<property>
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<name>mapreduce.input.lineinputformat.linespermap</name>
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<value>1</value>
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<description>When using NLineInputFormat, the number of lines of input data
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to include in each split.</description>
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</property>
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>>>>>>> .merge-right.r1619626
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<property>
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<name>mapreduce.client.submit.file.replication</name>
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