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Posted to commits@ambari.apache.org by sw...@apache.org on 2013/08/16 23:13:03 UTC
git commit: AMBARI-2784. Ambari memory params configuration is not
right for yarn and mapreducde. (swagle)
Updated Branches:
refs/heads/trunk 1b47ef01f -> 202e25712
AMBARI-2784. Ambari memory params configuration is not right for yarn and mapreducde. (swagle)
Project: http://git-wip-us.apache.org/repos/asf/incubator-ambari/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-ambari/commit/202e2571
Tree: http://git-wip-us.apache.org/repos/asf/incubator-ambari/tree/202e2571
Diff: http://git-wip-us.apache.org/repos/asf/incubator-ambari/diff/202e2571
Branch: refs/heads/trunk
Commit: 202e2571245eb36d2d5f1c7f39352e634a7dea14
Parents: 1b47ef0
Author: Siddharth Wagle <sw...@hortonworks.com>
Authored: Fri Aug 16 14:11:28 2013 -0700
Committer: Siddharth Wagle <sw...@hortonworks.com>
Committed: Fri Aug 16 14:11:28 2013 -0700
----------------------------------------------------------------------
.../MAPREDUCE2/configuration/mapred-site.xml | 388 +++++++++++-------
.../YARN/configuration/capacity-scheduler.xml | 2 +-
.../MAPREDUCE2/configuration/mapred-site.xml | 392 ++++++++++++-------
3 files changed, 493 insertions(+), 289 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-ambari/blob/202e2571/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
----------------------------------------------------------------------
diff --git a/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml b/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
index 51e3e4d..5f95dc3 100644
--- a/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
+++ b/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
@@ -27,96 +27,88 @@
<property>
<name>mapreduce.task.io.sort.mb</name>
<value>100</value>
- <description>No description</description>
+ <description>
+ The total amount of buffer memory to use while sorting files, in megabytes.
+ By default, gives each merge stream 1MB, which should minimize seeks.
+ </description>
</property>
<property>
<name>mapreduce.map.sort.spill.percent</name>
<value>0.1</value>
- <description>No description</description>
+ <description>
+ The soft limit in the serialization buffer. Once reached, a thread will
+ begin to spill the contents to disk in the background. Note that
+ collection will not block if this threshold is exceeded while a spill
+ is already in progress, so spills may be larger than this threshold when
+ it is set to less than .5
+ </description>
</property>
<property>
<name>mapreduce.task.io.sort.factor</name>
<value>100</value>
- <description>No description</description>
+ <description>
+ The number of streams to merge at once while sorting files.
+ This determines the number of open file handles.
+ </description>
</property>
<!-- map/reduce properties -->
-
- <property>
- <name>mapreduce.jobtracker.system.dir</name>
- <value></value>
- <description>No description</description>
- <final>true</final>
- </property>
-
- <property>
- <!-- cluster specific -->
- <name>mapreduce.cluster.local.dir</name>
- <value></value>
- <description>No description</description>
- <final>true</final>
- </property>
-
<property>
<name>mapreduce.reduce.shuffle.parallelcopies</name>
<value>30</value>
- <description>No description</description>
- </property>
-
- <property>
- <name>mapreduce.tasktracker.map.tasks.maximum</name>
- <value></value>
- <description>No description</description>
+ <description>
+ The default number of parallel transfers run by reduce during
+ the copy(shuffle) phase.
+ </description>
</property>
<property>
<name>mapreduce.map.speculative</name>
<value>false</value>
- <description>If true, then multiple instances of some map tasks
- may be executed in parallel.</description>
+ <description>
+ If true, then multiple instances of some map tasks
+ may be executed in parallel.
+ </description>
</property>
<property>
<name>mapreduce.reduce.speculative</name>
<value>false</value>
- <description>If true, then multiple instances of some reduce tasks
- may be executed in parallel.</description>
+ <description>
+ If true, then multiple instances of some reduce tasks may be
+ executed in parallel.
+ </description>
</property>
<property>
<name>mapreduce.job.reduce.slowstart.completedmaps</name>
<value>0.05</value>
- </property>
-
- <property>
- <name>mapreduce.reduce.merge.inmem.threshold</name>
- <value>1000</value>
- <description>The threshold, in terms of the number of files
- for the in-memory merge process. When we accumulate threshold number of files
- we initiate the in-memory merge and spill to disk. A value of 0 or less than
- 0 indicates we want to DON'T have any threshold and instead depend only on
- the ramfs's memory consumption to trigger the merge.
- </description>
+ <description>
+ Fraction of the number of maps in the job which should be complete before
+ reduces are scheduled for the job.
+ </description>
</property>
<property>
<name>mapreduce.reduce.shuffle.merge.percent</name>
<value>0.66</value>
- <description>The usage threshold at which an in-memory merge will be
- initiated, expressed as a percentage of the total memory allocated to
- storing in-memory map outputs, as defined by
- mapreduce.reduce.shuffle.input.buffer.percent.
- </description>
+ <description>
+ The usage threshold at which an in-memory merge will be
+ initiated, expressed as a percentage of the total memory allocated to
+ storing in-memory map outputs, as defined by
+ mapreduce.reduce.shuffle.input.buffer.percent.
+ </description>
</property>
<property>
<name>mapreduce.reduce.shuffle.input.buffer.percent</name>
<value>0.7</value>
- <description>The percentage of memory to be allocated from the maximum heap
- size to storing map outputs during the shuffle.
- </description>
+ <description>
+ The percentage of memory to be allocated from the maximum heap
+ size to storing map outputs during the shuffle.
+ </description>
</property>
<property>
@@ -127,144 +119,254 @@
</description>
</property>
-<property>
- <name>mapreduce.output.fileoutputformat.compress.type</name>
- <value>BLOCK</value>
- <description>If the job outputs are to compressed as SequenceFiles, how should
- they be compressed? Should be one of NONE, RECORD or BLOCK.
- </description>
-</property>
+ <property>
+ <name>mapreduce.output.fileoutputformat.compress.type</name>
+ <value>BLOCK</value>
+ <description>
+ If the job outputs are to compressed as SequenceFiles, how should
+ they be compressed? Should be one of NONE, RECORD or BLOCK.
+ </description>
+ </property>
<property>
<name>mapreduce.reduce.input.buffer.percent</name>
<value>0.0</value>
- <description>The percentage of memory- relative to the maximum heap size- to
- retain map outputs during the reduce. When the shuffle is concluded, any
- remaining map outputs in memory must consume less than this threshold before
- the reduce can begin.
- </description>
+ <description>
+ The percentage of memory- relative to the maximum heap size- to
+ retain map outputs during the reduce. When the shuffle is concluded, any
+ remaining map outputs in memory must consume less than this threshold before
+ the reduce can begin.
+ </description>
</property>
- <property>
- <name>mapreduce.reduce.input.limit</name>
- <value>10737418240</value>
- <description>The limit on the input size of the reduce. (This value
- is 10 Gb.) If the estimated input size of the reduce is greater than
- this value, job is failed. A value of -1 means that there is no limit
- set. </description>
-</property>
-
-
<!-- copied from kryptonite configuration -->
<property>
<name>mapreduce.map.output.compress</name>
<value></value>
</property>
-
<property>
<name>mapreduce.task.timeout</name>
<value>600000</value>
- <description>The number of milliseconds before a task will be
- terminated if it neither reads an input, writes an output, nor
- updates its status string.
- </description>
+ <description>
+ The number of milliseconds before a task will be
+ terminated if it neither reads an input, writes an output, nor
+ updates its status string.
+ </description>
</property>
<property>
- <name>mapred.child.java.opts</name>
- <value>-Xmx512m</value>
- <description>No description</description>
+ <name>mapreduce.map.memory.mb</name>
+ <value>1536</value>
</property>
<property>
- <name>mapreduce.cluster.reducememory.mb</name>
- <value>2048</value>
+ <name>mapreduce.reduce.memory.mb</name>
+ <value>1024</value>
</property>
<property>
- <name>mapreduce.map.memory.mb</name>
- <value>1536</value>
+ <name>mapreduce.tasktracker.keytab.file</name>
+ <value></value>
+ <description>The filename of the keytab for the task tracker</description>
</property>
<property>
- <name>mapreduce.reduce.memory.mb</name>
+ <name>mapreduce.jobhistory.keytab.file</name>
+ <!-- cluster variant -->
+ <value></value>
+ <description>The keytab for the job history server principal.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.shuffle.port</name>
+ <value>13562</value>
+ <description>
+ Default port that the ShuffleHandler will run on.
+ ShuffleHandler is a service run at the NodeManager to facilitate
+ transfers of intermediate Map outputs to requesting Reducers.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.intermediate-done-dir</name>
+ <value>/mr-history/tmp</value>
+ <description>
+ Directory where history files are written by MapReduce jobs.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.done-dir</name>
+ <value>/mr-history/done</value>
+ <description>
+ Directory where history files are managed by the MR JobHistory Server.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.address</name>
+ <value>localhost:10020</value>
+ <description>Enter your JobHistoryServer hostname.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.webapp.address</name>
+ <value>localhost:19888</value>
+ <description>Enter your JobHistoryServer hostname.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.framework.name</name>
+ <value>yarn</value>
+ <description>
+ The runtime framework for executing MapReduce jobs. Can be one of local,
+ classic or yarn.
+ </description>
+ </property>
+
+ <property>
+ <name>yarn.app.mapreduce.am.staging-dir</name>
+ <value>/user</value>
+ <description>
+ The staging dir used while submitting jobs.
+ </description>
+ </property>
+
+ <property>
+ <name>yarn.app.mapreduce.am.resource.mb</name>
<value>1024</value>
+ <description>The amount of memory the MR AppMaster needs.</description>
</property>
<property>
- <name>mapreduce.jobtracker.tasktracker.maxblacklists</name>
- <value>16</value>
+ <name>yarn.app.mapreduce.am.command-opts</name>
+ <value>-Xmx756m</value>
<description>
- if node is reported blacklisted by 16 successful jobs within timeout-window, it will be graylisted
+ 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>
<property>
- <name>mapreduce.tasktracker.healthchecker.script.path</name>
- <value></value>
+ <name>yarn.app.mapreduce.am.admin-command-opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</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>
<property>
- <name>mapreduce.tasktracker.healthchecker.script.timeout</name>
- <value>60000</value>
+ <name>yarn.app.mapreduce.am.log.level</name>
+ <value>INFO</value>
+ <description>MR App Master process log level.</description>
</property>
<property>
- <name>mapreduce.tasktracker.keytab.file</name>
+ <name>yarn.app.mapreduce.am.env</name>
<value></value>
- <description>The filename of the keytab for the task tracker</description>
+ <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>
- <property>
- <name>mapreduce.jobhistory.keytab.file</name>
- <!-- cluster variant -->
- <value></value>
- <description>The keytab for the job history server principal.</description>
- </property>
-
-<property>
- <name>mapreduce.shuffle.port</name>
- <value>8081</value>
- <description>Default port that the ShuffleHandler will run on. ShuffleHandler is a service run at the NodeManager to facilitate transfers of intermediate Map outputs to requesting Reducers.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.intermediate-done-dir</name>
- <value>/mr-history/tmp</value>
- <description>Directory where history files are written by MapReduce jobs.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.done-dir</name>
- <value>/mr-history/done</value>
- <description>Directory where history files are managed by the MR JobHistory Server.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.address</name>
- <value>localhost:10020</value>
- <description>Enter your JobHistoryServer hostname.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.webapp.address</name>
- <value>localhost:19888</value>
- <description>Enter your JobHistoryServer hostname.</description>
-</property>
-
-<property>
- <name>mapreduce.framework.name</name>
- <value>yarn</value>
- <description>No description</description>
-</property>
-
-<property>
- <name>yarn.app.mapreduce.am.staging-dir</name>
- <value>/user</value>
- <description>
- The staging dir used while submitting jobs.
- </description>
-</property>
+ <property>
+ <name>mapreduce.admin.map.child.java.opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</value>
+ </property>
+
+ <property>
+ <name>mapreduce.admin.reduce.child.java.opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</value>
+ </property>
+
+ <property>
+ <name>mapreduce.application.classpath</name>
+ <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
+ <description>
+ CLASSPATH for MR applications. A comma-separated list of CLASSPATH
+ entries.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.am.max-attempts</name>
+ <value>2</value>
+ <description>
+ The maximum number of application attempts. It is a
+ application-specific setting. It should not be larger than the global number
+ set by resourcemanager. Otherwise, it will be override. The default number is
+ set to 2, to allow at least one retry for AM.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.memory.mb</name>
+ <value>512</value>
+ <description>
+ Larger resource limit for maps.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.java.opts</name>
+ <value>-Xmx320m</value>
+ <description>
+ Larger heap-size for child jvms of maps.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.memory.mb</name>
+ <value>1024</value>
+ <description>
+ Larger resource limit for reduces.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.java.opts</name>
+ <value>-Xmx756m</value>
+ <description>
+ Larger heap-size for child jvms of reduces.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.log.level</name>
+ <value>INFO</value>
+ <description>
+ The logging level for the map task. The allowed levels are:
+ OFF, FATAL, ERROR, WARN, INFO, DEBUG, TRACE and ALL.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.log.level</name>
+ <value>INFO</value>
+ <description>
+ The logging level for the reduce task. The allowed levels are:
+ OFF, FATAL, ERROR, WARN, INFO, DEBUG, TRACE and ALL.
+ </description>
+ </property>
</configuration>
http://git-wip-us.apache.org/repos/asf/incubator-ambari/blob/202e2571/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/YARN/configuration/capacity-scheduler.xml
----------------------------------------------------------------------
diff --git a/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/YARN/configuration/capacity-scheduler.xml b/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/YARN/configuration/capacity-scheduler.xml
index 3f78292..ccfb779 100644
--- a/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/YARN/configuration/capacity-scheduler.xml
+++ b/ambari-server/src/main/resources/stacks/HDP/2.0.5/services/YARN/configuration/capacity-scheduler.xml
@@ -27,7 +27,7 @@
<property>
<name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
- <value>0.1</value>
+ <value>0.2</value>
<description>
Maximum percent of resources in the cluster which can be used to run
application masters i.e. controls number of concurrent running
http://git-wip-us.apache.org/repos/asf/incubator-ambari/blob/202e2571/ambari-server/src/main/resources/stacks/HDPLocal/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
----------------------------------------------------------------------
diff --git a/ambari-server/src/main/resources/stacks/HDPLocal/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml b/ambari-server/src/main/resources/stacks/HDPLocal/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
index 28072f7..9a555fd 100644
--- a/ambari-server/src/main/resources/stacks/HDPLocal/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
+++ b/ambari-server/src/main/resources/stacks/HDPLocal/2.0.5/services/MAPREDUCE2/configuration/mapred-site.xml
@@ -22,101 +22,93 @@
<configuration xmlns:xi="http://www.w3.org/2001/XInclude">
-<!-- i/o properties -->
+ <!-- i/o properties -->
<property>
<name>mapreduce.task.io.sort.mb</name>
<value>100</value>
- <description>No description</description>
+ <description>
+ The total amount of buffer memory to use while sorting files, in megabytes.
+ By default, gives each merge stream 1MB, which should minimize seeks.
+ </description>
</property>
<property>
<name>mapreduce.map.sort.spill.percent</name>
<value>0.1</value>
- <description>No description</description>
+ <description>
+ The soft limit in the serialization buffer. Once reached, a thread will
+ begin to spill the contents to disk in the background. Note that
+ collection will not block if this threshold is exceeded while a spill
+ is already in progress, so spills may be larger than this threshold when
+ it is set to less than .5
+ </description>
</property>
<property>
<name>mapreduce.task.io.sort.factor</name>
<value>100</value>
- <description>No description</description>
- </property>
-
-<!-- map/reduce properties -->
-
- <property>
- <name>mapreduce.jobtracker.system.dir</name>
- <value></value>
- <description>No description</description>
- <final>true</final>
- </property>
-
- <property>
- <!-- cluster specific -->
- <name>mapreduce.cluster.local.dir</name>
- <value></value>
- <description>No description</description>
- <final>true</final>
+ <description>
+ The number of streams to merge at once while sorting files.
+ This determines the number of open file handles.
+ </description>
</property>
+ <!-- map/reduce properties -->
<property>
<name>mapreduce.reduce.shuffle.parallelcopies</name>
<value>30</value>
- <description>No description</description>
- </property>
-
- <property>
- <name>mapreduce.tasktracker.map.tasks.maximum</name>
- <value></value>
- <description>No description</description>
+ <description>
+ The default number of parallel transfers run by reduce during
+ the copy(shuffle) phase.
+ </description>
</property>
<property>
<name>mapreduce.map.speculative</name>
<value>false</value>
- <description>If true, then multiple instances of some map tasks
- may be executed in parallel.</description>
+ <description>
+ If true, then multiple instances of some map tasks
+ may be executed in parallel.
+ </description>
</property>
<property>
<name>mapreduce.reduce.speculative</name>
<value>false</value>
- <description>If true, then multiple instances of some reduce tasks
- may be executed in parallel.</description>
+ <description>
+ If true, then multiple instances of some reduce tasks may be
+ executed in parallel.
+ </description>
</property>
<property>
<name>mapreduce.job.reduce.slowstart.completedmaps</name>
<value>0.05</value>
- </property>
-
- <property>
- <name>mapreduce.reduce.merge.inmem.threshold</name>
- <value>1000</value>
- <description>The threshold, in terms of the number of files
- for the in-memory merge process. When we accumulate threshold number of files
- we initiate the in-memory merge and spill to disk. A value of 0 or less than
- 0 indicates we want to DON'T have any threshold and instead depend only on
- the ramfs's memory consumption to trigger the merge.
- </description>
+ <description>
+ Fraction of the number of maps in the job which should be complete before
+ reduces are scheduled for the job.
+ </description>
</property>
<property>
<name>mapreduce.reduce.shuffle.merge.percent</name>
<value>0.66</value>
- <description>The usage threshold at which an in-memory merge will be
- initiated, expressed as a percentage of the total memory allocated to
- storing in-memory map outputs, as defined by
- mapreduce.reduce.shuffle.input.buffer.percent.
- </description>
+ <description>
+ The usage threshold at which an in-memory merge will be
+ initiated, expressed as a percentage of the total memory allocated to
+ storing in-memory map outputs, as defined by
+ mapreduce.reduce.shuffle.input.buffer.percent.
+ </description>
</property>
<property>
<name>mapreduce.reduce.shuffle.input.buffer.percent</name>
<value>0.7</value>
- <description>The percentage of memory to be allocated from the maximum heap
- size to storing map outputs during the shuffle.
- </description>
+ <description>
+ The percentage of memory to be allocated from the maximum heap
+ size to storing map outputs during the shuffle.
+ </description>
</property>
<property>
@@ -127,144 +119,254 @@
</description>
</property>
-<property>
- <name>mapreduce.output.fileoutputformat.compress.type</name>
- <value>BLOCK</value>
- <description>If the job outputs are to compressed as SequenceFiles, how should
- they be compressed? Should be one of NONE, RECORD or BLOCK.
- </description>
-</property>
+ <property>
+ <name>mapreduce.output.fileoutputformat.compress.type</name>
+ <value>BLOCK</value>
+ <description>
+ If the job outputs are to compressed as SequenceFiles, how should
+ they be compressed? Should be one of NONE, RECORD or BLOCK.
+ </description>
+ </property>
<property>
<name>mapreduce.reduce.input.buffer.percent</name>
<value>0.0</value>
- <description>The percentage of memory- relative to the maximum heap size- to
- retain map outputs during the reduce. When the shuffle is concluded, any
- remaining map outputs in memory must consume less than this threshold before
- the reduce can begin.
- </description>
+ <description>
+ The percentage of memory- relative to the maximum heap size- to
+ retain map outputs during the reduce. When the shuffle is concluded, any
+ remaining map outputs in memory must consume less than this threshold before
+ the reduce can begin.
+ </description>
</property>
- <property>
- <name>mapreduce.reduce.input.limit</name>
- <value>10737418240</value>
- <description>The limit on the input size of the reduce. (This value
- is 10 Gb.) If the estimated input size of the reduce is greater than
- this value, job is failed. A value of -1 means that there is no limit
- set. </description>
-</property>
-
-
<!-- copied from kryptonite configuration -->
<property>
<name>mapreduce.map.output.compress</name>
<value></value>
</property>
-
<property>
<name>mapreduce.task.timeout</name>
<value>600000</value>
- <description>The number of milliseconds before a task will be
- terminated if it neither reads an input, writes an output, nor
- updates its status string.
- </description>
+ <description>
+ The number of milliseconds before a task will be
+ terminated if it neither reads an input, writes an output, nor
+ updates its status string.
+ </description>
</property>
<property>
- <name>mapred.child.java.opts</name>
- <value>-Xmx512m</value>
- <description>No description</description>
+ <name>mapreduce.map.memory.mb</name>
+ <value>1536</value>
</property>
<property>
- <name>mapreduce.cluster.reducememory.mb</name>
- <value>2048</value>
+ <name>mapreduce.reduce.memory.mb</name>
+ <value>1024</value>
</property>
<property>
- <name>mapreduce.map.memory.mb</name>
- <value>1536</value>
+ <name>mapreduce.tasktracker.keytab.file</name>
+ <value></value>
+ <description>The filename of the keytab for the task tracker</description>
</property>
<property>
- <name>mapreduce.reduce.memory.mb</name>
+ <name>mapreduce.jobhistory.keytab.file</name>
+ <!-- cluster variant -->
+ <value></value>
+ <description>The keytab for the job history server principal.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.shuffle.port</name>
+ <value>13562</value>
+ <description>
+ Default port that the ShuffleHandler will run on.
+ ShuffleHandler is a service run at the NodeManager to facilitate
+ transfers of intermediate Map outputs to requesting Reducers.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.intermediate-done-dir</name>
+ <value>/mr-history/tmp</value>
+ <description>
+ Directory where history files are written by MapReduce jobs.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.done-dir</name>
+ <value>/mr-history/done</value>
+ <description>
+ Directory where history files are managed by the MR JobHistory Server.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.address</name>
+ <value>localhost:10020</value>
+ <description>Enter your JobHistoryServer hostname.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.jobhistory.webapp.address</name>
+ <value>localhost:19888</value>
+ <description>Enter your JobHistoryServer hostname.</description>
+ </property>
+
+ <property>
+ <name>mapreduce.framework.name</name>
+ <value>yarn</value>
+ <description>
+ The runtime framework for executing MapReduce jobs. Can be one of local,
+ classic or yarn.
+ </description>
+ </property>
+
+ <property>
+ <name>yarn.app.mapreduce.am.staging-dir</name>
+ <value>/user</value>
+ <description>
+ The staging dir used while submitting jobs.
+ </description>
+ </property>
+
+ <property>
+ <name>yarn.app.mapreduce.am.resource.mb</name>
<value>1024</value>
+ <description>The amount of memory the MR AppMaster needs.</description>
</property>
<property>
- <name>mapreduce.jobtracker.tasktracker.maxblacklists</name>
- <value>16</value>
+ <name>yarn.app.mapreduce.am.command-opts</name>
+ <value>-Xmx756m</value>
<description>
- if node is reported blacklisted by 16 successful jobs within timeout-window, it will be graylisted
+ 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>
<property>
- <name>mapreduce.tasktracker.healthchecker.script.path</name>
- <value></value>
+ <name>yarn.app.mapreduce.am.admin-command-opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</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>
<property>
- <name>mapreduce.tasktracker.healthchecker.script.timeout</name>
- <value>60000</value>
+ <name>yarn.app.mapreduce.am.log.level</name>
+ <value>INFO</value>
+ <description>MR App Master process log level.</description>
</property>
<property>
- <name>mapreduce.tasktracker.keytab.file</name>
+ <name>yarn.app.mapreduce.am.env</name>
<value></value>
- <description>The filename of the keytab for the task tracker</description>
+ <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>
- <property>
- <name>mapreduce.jobhistory.keytab.file</name>
- <!-- cluster variant -->
- <value></value>
- <description>The keytab for the job history server principal.</description>
- </property>
-
-<property>
- <name>mapreduce.shuffle.port</name>
- <value>8081</value>
- <description>Default port that the ShuffleHandler will run on. ShuffleHandler is a service run at the NodeManager to facilitate transfers of intermediate Map outputs to requesting Reducers.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.intermediate-done-dir</name>
- <value>/mr-history/tmp</value>
- <description>Directory where history files are written by MapReduce jobs.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.done-dir</name>
- <value>/mr-history/done</value>
- <description>Directory where history files are managed by the MR JobHistory Server.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.address</name>
- <value>localhost:10020</value>
- <description>Enter your JobHistoryServer hostname.</description>
-</property>
-
-<property>
- <name>mapreduce.jobhistory.webapp.address</name>
- <value>localhost:19888</value>
- <description>Enter your JobHistoryServer hostname.</description>
-</property>
-
-<property>
- <name>mapreduce.framework.name</name>
- <value>yarn</value>
- <description>No description</description>
-</property>
-
-<property>
- <name>yarn.app.mapreduce.am.staging-dir</name>
- <value>/user</value>
- <description>
- The staging dir used while submitting jobs.
- </description>
-</property>
+ <property>
+ <name>mapreduce.admin.map.child.java.opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</value>
+ </property>
+
+ <property>
+ <name>mapreduce.admin.reduce.child.java.opts</name>
+ <value>-Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN</value>
+ </property>
+
+ <property>
+ <name>mapreduce.application.classpath</name>
+ <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
+ <description>
+ CLASSPATH for MR applications. A comma-separated list of CLASSPATH
+ entries.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.am.max-attempts</name>
+ <value>2</value>
+ <description>
+ The maximum number of application attempts. It is a
+ application-specific setting. It should not be larger than the global number
+ set by resourcemanager. Otherwise, it will be override. The default number is
+ set to 2, to allow at least one retry for AM.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.memory.mb</name>
+ <value>512</value>
+ <description>
+ Larger resource limit for maps.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.java.opts</name>
+ <value>-Xmx320m</value>
+ <description>
+ Larger heap-size for child jvms of maps.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.memory.mb</name>
+ <value>1024</value>
+ <description>
+ Larger resource limit for reduces.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.java.opts</name>
+ <value>-Xmx756m</value>
+ <description>
+ Larger heap-size for child jvms of reduces.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.map.log.level</name>
+ <value>INFO</value>
+ <description>
+ The logging level for the map task. The allowed levels are:
+ OFF, FATAL, ERROR, WARN, INFO, DEBUG, TRACE and ALL.
+ </description>
+ </property>
+
+ <property>
+ <name>mapreduce.reduce.log.level</name>
+ <value>INFO</value>
+ <description>
+ The logging level for the reduce task. The allowed levels are:
+ OFF, FATAL, ERROR, WARN, INFO, DEBUG, TRACE and ALL.
+ </description>
+ </property>
</configuration>