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MAPREDUCE-6584. Remove trailing whitespaces from mapred-default.xml. (aajisaka)

This commit is contained in:
Akira Ajisaka 2015-12-30 01:03:12 +09:00
parent d0a22bae9b
commit bee542817d
2 changed files with 84 additions and 81 deletions
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3
hadoop-mapreduce-project/CHANGES.txt
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@ -457,6 +457,9 @@ Release 2.8.0 - UNRELEASED
MAPREDUCE-6574. MR AM should print host of failed tasks.
(Mohammad Shahid Khan via wangda)
MAPREDUCE-6584. Remove trailing whitespaces from mapred-default.xml.
(aajisaka)
OPTIMIZATIONS
MAPREDUCE-6376. Add avro binary support for jhist files (Ray Chiang via

162
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/resources/mapred-default.xml
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@ -27,7 +27,7 @@
<name>mapreduce.job.committer.setup.cleanup.needed</name>
<value>true</value>
<description> true, if job needs job-setup and job-cleanup.
false, otherwise
false, otherwise
</description>
</property>
<!-- i/o properties -->
@ -42,7 +42,7 @@
<property>
<name>mapreduce.task.io.sort.mb</name>
<value>100</value>
<description>The total amount of buffer memory to use while sorting
<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>
@ -69,7 +69,7 @@
<name>mapreduce.job.reduces</name>
<value>1</value>
<description>The default number of reduce tasks per job. Typically set to 99%
of the cluster's reduce capacity, so that if a node fails the reduces can
of the cluster's reduce capacity, so that if a node fails the reduces can
still be executed in a single wave.
Ignored when mapreduce.framework.name is "local".
</description>
@ -115,7 +115,7 @@
<property>
<name>mapreduce.job.max.split.locations</name>
<value>10</value>
<description>The max number of block locations to store for each split for
<description>The max number of block locations to store for each split for
locality calculation.
</description>
</property>
@ -123,7 +123,7 @@
<property>
<name>mapreduce.job.split.metainfo.maxsize</name>
<value>10000000</value>
<description>The maximum permissible size of the split metainfo file.
<description>The maximum permissible size of the split metainfo file.
The MapReduce ApplicationMaster won't attempt to read submitted split metainfo
files bigger than this configured value.
No limits if set to -1.
@ -157,7 +157,7 @@
<property>
<name>mapreduce.reduce.shuffle.fetch.retry.interval-ms</name>
<value>1000</value>
<description>Time of interval that fetcher retry to fetch again when some
<description>Time of interval that fetcher retry to fetch again when some
non-fatal failure happens because of some events like NM restart.
</description>
</property>
@ -165,7 +165,7 @@
<property>
<name>mapreduce.reduce.shuffle.fetch.retry.timeout-ms</name>
<value>30000</value>
<description>Timeout value for fetcher to retry to fetch again when some
<description>Timeout value for fetcher to retry to fetch again when some
non-fatal failure happens because of some events like NM restart.</description>
</property>
@ -266,15 +266,15 @@
<name>mapred.child.java.opts</name>
<value></value>
<description>Java opts for the task processes.
The following symbol, if present, will be interpolated: @taskid@ is replaced
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
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.
If -Xmx is not set, it is inferred from mapreduce.{map|reduce}.memory.mb and
@ -339,12 +339,12 @@
<name>mapreduce.admin.user.env</name>
<value></value>
<description>
Expert: Additional execution environment entries for
Expert: Additional execution environment entries for
map and reduce task processes. This is not an additive property.
You must preserve the original value if you want your map and
reduce tasks to have access to native libraries (compression, etc).
When this value is empty, the command to set execution
envrionment will be OS dependent:
reduce tasks to have access to native libraries (compression, etc).
When this value is empty, the command to set execution
envrionment will be OS dependent:
For linux, use LD_LIBRARY_PATH=$HADOOP_COMMON_HOME/lib/native.
For windows, use PATH = %PATH%;%HADOOP_COMMON_HOME%\\bin.
</description>
@ -389,7 +389,7 @@
<property>
<name>mapreduce.reduce.merge.inmem.threshold</name>
<value>1000</value>
<description>The threshold, in terms of the number of files
<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
@ -468,12 +468,12 @@
<property>
<name>mapreduce.shuffle.transferTo.allowed</name>
<value></value>
<description>This option can enable/disable using nio transferTo method in
the shuffle phase. NIO transferTo does not perform well on windows in the
shuffle phase. Thus, with this configuration property it is possible to
disable it, in which case custom transfer method will be used. Recommended
value is false when running Hadoop on Windows. For Linux, it is recommended
to set it to true. If nothing is set then the default value is false for
<description>This option can enable/disable using nio transferTo method in
the shuffle phase. NIO transferTo does not perform well on windows in the
shuffle phase. Thus, with this configuration property it is possible to
disable it, in which case custom transfer method will be used. Recommended
value is false when running Hadoop on Windows. For Linux, it is recommended
to set it to true. If nothing is set then the default value is false for
Windows, and true for Linux.
</description>
</property>
@ -481,8 +481,8 @@
<property>
<name>mapreduce.shuffle.transfer.buffer.size</name>
<value>131072</value>
<description>This property is used only if
mapreduce.shuffle.transferTo.allowed is set to false. In that case,
<description>This property is used only if
mapreduce.shuffle.transferTo.allowed is set to false. In that case,
this property defines the size of the buffer used in the buffer copy code
for the shuffle phase. The size of this buffer determines the size of the IO
requests.
@ -500,14 +500,14 @@
<property>
<name>mapreduce.map.speculative</name>
<value>true</value>
<description>If true, then multiple instances of some map tasks
<description>If true, then multiple instances of some map tasks
may be executed in parallel.</description>
</property>
<property>
<name>mapreduce.reduce.speculative</name>
<value>true</value>
<description>If true, then multiple instances of some reduce tasks
<description>If true, then multiple instances of some reduce tasks
may be executed in parallel.</description>
</property>
@ -555,7 +555,7 @@
of the collectors in turn. The first to successfully initialize will be used.
</description>
</property>
<property>
<name>mapreduce.job.speculative.slowtaskthreshold</name>
<value>1.0</value>
@ -654,14 +654,14 @@
<property>
<name>mapreduce.task.files.preserve.failedtasks</name>
<value>false</value>
<description>Should the files for failed tasks be kept. This should only be
<description>Should the files for failed tasks be kept. This should only be
used on jobs that are failing, because the storage is never
reclaimed. It also prevents the map outputs from being erased
from the reduce directory as they are consumed.</description>
</property>
<!--
<!--
<property>
<name>mapreduce.task.files.preserve.filepattern</name>
<value>.*_m_123456_0</value>
@ -703,7 +703,7 @@
<property>
<name>mapreduce.map.output.compress.codec</name>
<value>org.apache.hadoop.io.compress.DefaultCodec</value>
<description>If the map outputs are compressed, how should they be
<description>If the map outputs are compressed, how should they be
compressed?
</description>
</property>
@ -786,7 +786,7 @@
<property>
<name>mapreduce.job.maxtaskfailures.per.tracker</name>
<value>3</value>
<description>The number of task-failures on a node manager of a given job
<description>The number of task-failures on a node manager of a given job
after which new tasks of that job aren't assigned to it. It
MUST be less than mapreduce.map.maxattempts and
mapreduce.reduce.maxattempts otherwise the failed task will
@ -798,8 +798,8 @@
<name>mapreduce.client.output.filter</name>
<value>FAILED</value>
<description>The filter for controlling the output of the task's userlogs sent
to the console of the JobClient.
The permissible options are: NONE, KILLED, FAILED, SUCCEEDED and
to the console of the JobClient.
The permissible options are: NONE, KILLED, FAILED, SUCCEEDED and
ALL.
</description>
</property>
@ -878,50 +878,50 @@
<property>
<name>mapreduce.task.skip.start.attempts</name>
<value>2</value>
<description> The number of Task attempts AFTER which skip mode
will be kicked off. When skip mode is kicked off, the
tasks reports the range of records which it will process
<description> The number of Task attempts AFTER which skip mode
will be kicked off. When skip mode is kicked off, the
tasks reports the range of records which it will process
next, to the MR ApplicationMaster. So that on failures, the MR AM
knows which ones are possibly the bad records. On further executions,
those are skipped.
</description>
</property>
<property>
<name>mapreduce.job.skip.outdir</name>
<value></value>
<description> If no value is specified here, the skipped records are
<description> If no value is specified here, the skipped records are
written to the output directory at _logs/skip.
User can stop writing skipped records by giving the value "none".
User can stop writing skipped records by giving the value "none".
</description>
</property>
<property>
<name>mapreduce.map.skip.maxrecords</name>
<value>0</value>
<description> The number of acceptable skip records surrounding the bad
<description> The number of acceptable skip records surrounding the bad
record PER bad record in mapper. The number includes the bad record as well.
To turn the feature of detection/skipping of bad records off, set the
To turn the feature of detection/skipping of bad records off, set the
value to 0.
The framework tries to narrow down the skipped range by retrying
until this threshold is met OR all attempts get exhausted for this task.
Set the value to Long.MAX_VALUE to indicate that framework need not try to
narrow down. Whatever records(depends on application) get skipped are
The framework tries to narrow down the skipped range by retrying
until this threshold is met OR all attempts get exhausted for this task.
Set the value to Long.MAX_VALUE to indicate that framework need not try to
narrow down. Whatever records(depends on application) get skipped are
acceptable.
</description>
</property>
<property>
<name>mapreduce.reduce.skip.maxgroups</name>
<value>0</value>
<description> The number of acceptable skip groups surrounding the bad
<description> The number of acceptable skip groups surrounding the bad
group PER bad group in reducer. The number includes the bad group as well.
To turn the feature of detection/skipping of bad groups off, set the
To turn the feature of detection/skipping of bad groups off, set the
value to 0.
The framework tries to narrow down the skipped range by retrying
until this threshold is met OR all attempts get exhausted for this task.
Set the value to Long.MAX_VALUE to indicate that framework need not try to
narrow down. Whatever groups(depends on application) get skipped are
The framework tries to narrow down the skipped range by retrying
until this threshold is met OR all attempts get exhausted for this task.
Set the value to Long.MAX_VALUE to indicate that framework need not try to
narrow down. Whatever groups(depends on application) get skipped are
acceptable.
</description>
</property>
@ -939,14 +939,14 @@
<description>Configuration key to set the IFile readahead length in bytes.
</description>
</property>
<property>
<name>mapreduce.job.queuename</name>
<value>default</value>
<description> Queue to which a job is submitted. This must match one of the
queues defined in mapred-queues.xml for the system. Also, the ACL setup
for the queue must allow the current user to submit a job to the queue.
Before specifying a queue, ensure that the system is configured with
Before specifying a queue, ensure that the system is configured with
the queue, and access is allowed for submitting jobs to the queue.
</description>
</property>
@ -954,7 +954,7 @@
<property>
<name>mapreduce.job.tags</name>
<value></value>
<description> Tags for the job that will be passed to YARN at submission
<description> Tags for the job that will be passed to YARN at submission
time. Queries to YARN for applications can filter on these tags.
</description>
</property>
@ -1089,15 +1089,15 @@
<property>
<name>mapreduce.job.reduce.slowstart.completedmaps</name>
<value>0.05</value>
<description>Fraction of the number of maps in the job which should be
complete before reduces are scheduled for the job.
<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.job.complete.cancel.delegation.tokens</name>
<value>true</value>
<description> if false - do not unregister/cancel delegation tokens from
<description> if false - do not unregister/cancel delegation tokens from
renewal, because same tokens may be used by spawned jobs
</description>
</property>
@ -1105,8 +1105,8 @@
<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
<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>
@ -1114,8 +1114,8 @@
<property>
<name>mapreduce.job.reduce.shuffle.consumer.plugin.class</name>
<value>org.apache.hadoop.mapreduce.task.reduce.Shuffle</value>
<description>
Name of the class whose instance will be used
<description>
Name of the class whose instance will be used
to send shuffle requests by reducetasks of this job.
The class must be an instance of org.apache.hadoop.mapred.ShuffleConsumerPlugin.
</description>
@ -1252,38 +1252,38 @@
<property>
<name>yarn.app.mapreduce.am.env</name>
<value></value>
<description>User added environment variables for the MR App Master
<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.
2) B=$B:c This is inherit tasktracker's B env variable.
</description>
</property>
<property>
<name>yarn.app.mapreduce.am.admin.user.env</name>
<value></value>
<description> Environment variables for the MR App Master
processes for admin purposes. These values are set first and can be
<description> Environment variables for the MR App Master
processes for admin purposes. These values are set first and can be
overridden by the user env (yarn.app.mapreduce.am.env) Example :
1) A=foo This will set the env variable A to foo
2) B=$B:c This is inherit app master's B env variable.
2) B=$B:c This is inherit app master's B env variable.
</description>
</property>
<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
<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.
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>
@ -1292,19 +1292,19 @@
<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.
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.
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>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
<description>The number of threads used to handle RPC calls in the
MR AppMaster from remote tasks</description>
</property>
@ -1312,7 +1312,7 @@
<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.
Leave blank if you want all possible ports.
For example 50000-50050,50100-50200</description>
</property>
@ -1596,7 +1596,7 @@
<property>
<name>mapreduce.jobhistory.cleaner.interval-ms</name>
<value>86400000</value>
<description> How often the job history cleaner checks for files to delete,
<description> How often the job history cleaner checks for files to delete,
in milliseconds. Defaults to 86400000 (one day). Files are only deleted if
they are older than mapreduce.jobhistory.max-age-ms.
</description>