MAPREDUCE-5762. Port MAPREDUCE-3223 and MAPREDUCE-4695 (Remove MRv1 config from mapred-default.xml) to branch-2. (aajisaka)

This commit is contained in:
Akira Ajisaka 2015-07-16 03:43:49 +09:00
parent bfbc805a13
commit 4da8ff60ef
2 changed files with 31 additions and 461 deletions

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@ -100,6 +100,9 @@ Release 2.8.0 - UNRELEASED
MAPREDUCE-6384. Add the last reporting reducer info for too many fetch MAPREDUCE-6384. Add the last reporting reducer info for too many fetch
failure diagnostics (Chang Li via jlowe) failure diagnostics (Chang Li via jlowe)
MAPREDUCE-5762. Port MAPREDUCE-3223 and MAPREDUCE-4695 (Remove MRv1 config
from mapred-default.xml) to branch-2. (aajisaka)
OPTIMIZATIONS OPTIMIZATIONS
MAPREDUCE-6376. Add avro binary support for jhist files (Ray Chiang via MAPREDUCE-6376. Add avro binary support for jhist files (Ray Chiang via

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@ -23,47 +23,6 @@
<configuration> <configuration>
<property>
<name>mapreduce.jobtracker.jobhistory.location</name>
<value></value>
<description> If job tracker is static the history files are stored
in this single well known place. If No value is set here, by default,
it is in the local file system at ${hadoop.log.dir}/history.
</description>
</property>
<property>
<name>mapreduce.jobtracker.jobhistory.task.numberprogresssplits</name>
<value>12</value>
<description> Every task attempt progresses from 0.0 to 1.0 [unless
it fails or is killed]. We record, for each task attempt, certain
statistics over each twelfth of the progress range. You can change
the number of intervals we divide the entire range of progress into
by setting this property. Higher values give more precision to the
recorded data, but costs more memory in the job tracker at runtime.
Each increment in this attribute costs 16 bytes per running task.
</description>
</property>
<property>
<name>mapreduce.job.userhistorylocation</name>
<value></value>
<description> User can specify a location to store the history files of
a particular job. If nothing is specified, the logs are stored in
output directory. The files are stored in "_logs/history/" in the directory.
User can stop logging by giving the value "none".
</description>
</property>
<property>
<name>mapreduce.jobtracker.jobhistory.completed.location</name>
<value></value>
<description> The completed job history files are stored at this single well
known location. If nothing is specified, the files are stored at
${mapreduce.jobtracker.jobhistory.location}/done.
</description>
</property>
<property> <property>
<name>mapreduce.job.committer.setup.cleanup.needed</name> <name>mapreduce.job.committer.setup.cleanup.needed</name>
<value>true</value> <value>true</value>
@ -98,15 +57,6 @@
set to less than .5</description> set to less than .5</description>
</property> </property>
<property>
<name>mapreduce.jobtracker.address</name>
<value>local</value>
<description>The host and port that the MapReduce job tracker runs
at. If "local", then jobs are run in-process as a single map
and reduce task.
</description>
</property>
<property> <property>
<name>mapreduce.local.clientfactory.class.name</name> <name>mapreduce.local.clientfactory.class.name</name>
<value>org.apache.hadoop.mapred.LocalClientFactory</value> <value>org.apache.hadoop.mapred.LocalClientFactory</value>
@ -114,139 +64,11 @@
creating local job runner client</description> creating local job runner client</description>
</property> </property>
<property>
<name>mapreduce.jobtracker.http.address</name>
<value>0.0.0.0:50030</value>
<description>
The job tracker http server address and port the server will listen on.
If the port is 0 then the server will start on a free port.
</description>
</property>
<property>
<name>mapreduce.jobtracker.handler.count</name>
<value>10</value>
<description>
The number of server threads for the JobTracker. This should be roughly
4% of the number of tasktracker nodes.
</description>
</property>
<property>
<name>mapreduce.tasktracker.report.address</name>
<value>127.0.0.1:0</value>
<description>The interface and port that task tracker server listens on.
Since it is only connected to by the tasks, it uses the local interface.
EXPERT ONLY. Should only be changed if your host does not have the loopback
interface.</description>
</property>
<property>
<name>mapreduce.cluster.local.dir</name>
<value>${hadoop.tmp.dir}/mapred/local</value>
<description>The local directory where MapReduce stores intermediate
data files. May be a comma-separated list of
directories on different devices in order to spread disk i/o.
Directories that do not exist are ignored.
</description>
</property>
<property>
<name>mapreduce.jobtracker.system.dir</name>
<value>${hadoop.tmp.dir}/mapred/system</value>
<description>The directory where MapReduce stores control files.
</description>
</property>
<property>
<name>mapreduce.jobtracker.staging.root.dir</name>
<value>${hadoop.tmp.dir}/mapred/staging</value>
<description>The root of the staging area for users' job files
In practice, this should be the directory where users' home
directories are located (usually /user)
</description>
</property>
<property>
<name>mapreduce.cluster.temp.dir</name>
<value>${hadoop.tmp.dir}/mapred/temp</value>
<description>A shared directory for temporary files.
</description>
</property>
<property>
<name>mapreduce.tasktracker.local.dir.minspacestart</name>
<value>0</value>
<description>If the space in mapreduce.cluster.local.dir drops under this,
do not ask for more tasks.
Value in bytes.
</description>
</property>
<property>
<name>mapreduce.tasktracker.local.dir.minspacekill</name>
<value>0</value>
<description>If the space in mapreduce.cluster.local.dir drops under this,
do not ask more tasks until all the current ones have finished and
cleaned up. Also, to save the rest of the tasks we have running,
kill one of them, to clean up some space. Start with the reduce tasks,
then go with the ones that have finished the least.
Value in bytes.
</description>
</property>
<property>
<name>mapreduce.jobtracker.expire.trackers.interval</name>
<value>600000</value>
<description>Expert: The time-interval, in miliseconds, after which
a tasktracker is declared 'lost' if it doesn't send heartbeats.
</description>
</property>
<property>
<name>mapreduce.tasktracker.instrumentation</name>
<value>org.apache.hadoop.mapred.TaskTrackerMetricsInst</value>
<description>Expert: The instrumentation class to associate with each TaskTracker.
</description>
</property>
<property>
<name>mapreduce.tasktracker.resourcecalculatorplugin</name>
<value></value>
<description>
Name of the class whose instance will be used to query resource information
on the tasktracker.
The class must be an instance of
org.apache.hadoop.util.ResourceCalculatorPlugin. If the value is null, the
tasktracker attempts to use a class appropriate to the platform.
Currently, the only platform supported is Linux.
</description>
</property>
<property>
<name>mapreduce.tasktracker.taskmemorymanager.monitoringinterval</name>
<value>5000</value>
<description>The interval, in milliseconds, for which the tasktracker waits
between two cycles of monitoring its tasks' memory usage. Used only if
tasks' memory management is enabled via mapred.tasktracker.tasks.maxmemory.
</description>
</property>
<property>
<name>mapreduce.tasktracker.tasks.sleeptimebeforesigkill</name>
<value>5000</value>
<description>The time, in milliseconds, the tasktracker waits for sending a
SIGKILL to a task, after it has been sent a SIGTERM. This is currently
not used on WINDOWS where tasks are just sent a SIGTERM.
</description>
</property>
<property> <property>
<name>mapreduce.job.maps</name> <name>mapreduce.job.maps</name>
<value>2</value> <value>2</value>
<description>The default number of map tasks per job. <description>The default number of map tasks per job.
Ignored when mapreduce.jobtracker.address is "local". Ignored when mapreduce.framework.name is "local".
</description> </description>
</property> </property>
@ -256,34 +78,10 @@
<description>The default number of reduce tasks per job. Typically set to 99% <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. still be executed in a single wave.
Ignored when mapreduce.jobtracker.address is "local". Ignored when mapreduce.framework.name is "local".
</description> </description>
</property> </property>
<property>
<name>mapreduce.jobtracker.restart.recover</name>
<value>false</value>
<description>"true" to enable (job) recovery upon restart,
"false" to start afresh
</description>
</property>
<property>
<name>mapreduce.jobtracker.jobhistory.block.size</name>
<value>3145728</value>
<description>The block size of the job history file. Since the job recovery
uses job history, its important to dump job history to disk as
soon as possible. Note that this is an expert level parameter.
The default value is set to 3 MB.
</description>
</property>
<property>
<name>mapreduce.jobtracker.taskscheduler</name>
<value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>
<description>The class responsible for scheduling the tasks.</description>
</property>
<property> <property>
<name>mapreduce.job.running.map.limit</name> <name>mapreduce.job.running.map.limit</name>
<value>0</value> <value>0</value>
@ -322,20 +120,12 @@
<name>mapreduce.job.split.metainfo.maxsize</name> <name>mapreduce.job.split.metainfo.maxsize</name>
<value>10000000</value> <value>10000000</value>
<description>The maximum permissible size of the split metainfo file. <description>The maximum permissible size of the split metainfo file.
The JobTracker won't attempt to read split metainfo files bigger than The MapReduce ApplicationMaster won't attempt to read submitted split metainfo
the configured value. files bigger than this configured value.
No limits if set to -1. No limits if set to -1.
</description> </description>
</property> </property>
<property>
<name>mapreduce.jobtracker.taskscheduler.maxrunningtasks.perjob</name>
<value></value>
<description>The maximum number of running tasks for a job before
it gets preempted. No limits if undefined.
</description>
</property>
<property> <property>
<name>mapreduce.map.maxattempts</name> <name>mapreduce.map.maxattempts</name>
<value>4</value> <value>4</value>
@ -395,7 +185,7 @@
<name>mapreduce.reduce.shuffle.connect.timeout</name> <name>mapreduce.reduce.shuffle.connect.timeout</name>
<value>180000</value> <value>180000</value>
<description>Expert: The maximum amount of time (in milli seconds) reduce <description>Expert: The maximum amount of time (in milli seconds) reduce
task spends in trying to connect to a tasktracker for getting map output. task spends in trying to connect to a remote node for getting map output.
</description> </description>
</property> </property>
@ -432,22 +222,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.tasktracker.map.tasks.maximum</name>
<value>2</value>
<description>The maximum number of map tasks that will be run
simultaneously by a task tracker.
</description>
</property>
<property>
<name>mapreduce.tasktracker.reduce.tasks.maximum</name>
<value>2</value>
<description>The maximum number of reduce tasks that will be run
simultaneously by a task tracker.
</description>
</property>
<property> <property>
<name>mapreduce.map.memory.mb</name> <name>mapreduce.map.memory.mb</name>
<value>1024</value> <value>1024</value>
@ -480,36 +254,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.jobtracker.retiredjobs.cache.size</name>
<value>1000</value>
<description>The number of retired job status to keep in the cache.
</description>
</property>
<property>
<name>mapreduce.tasktracker.outofband.heartbeat</name>
<value>false</value>
<description>Expert: Set this to true to let the tasktracker send an
out-of-band heartbeat on task-completion for better latency.
</description>
</property>
<property>
<name>mapreduce.jobtracker.jobhistory.lru.cache.size</name>
<value>5</value>
<description>The number of job history files loaded in memory. The jobs are
loaded when they are first accessed. The cache is cleared based on LRU.
</description>
</property>
<property>
<name>mapreduce.jobtracker.instrumentation</name>
<value>org.apache.hadoop.mapred.JobTrackerMetricsInst</value>
<description>Expert: The instrumentation class to associate with each JobTracker.
</description>
</property>
<property> <property>
<name>mapred.child.java.opts</name> <name>mapred.child.java.opts</name>
<value>-Xmx200m</value> <value>-Xmx200m</value>
@ -806,14 +550,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.job.jvm.numtasks</name>
<value>1</value>
<description>How many tasks to run per jvm. If set to -1, there is
no limit.
</description>
</property>
<property> <property>
<name>mapreduce.job.ubertask.enable</name> <name>mapreduce.job.ubertask.enable</name>
<value>false</value> <value>false</value>
@ -884,13 +620,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.jobtracker.maxtasks.perjob</name>
<value>-1</value>
<description>The maximum number of tasks for a single job.
A value of -1 indicates that there is no maximum. </description>
</property>
<property> <property>
<name>mapreduce.input.lineinputformat.linespermap</name> <name>mapreduce.input.lineinputformat.linespermap</name>
<value>1</value> <value>1</value>
@ -898,6 +627,7 @@
to include in each split.</description> to include in each split.</description>
</property> </property>
<property> <property>
<name>mapreduce.client.submit.file.replication</name> <name>mapreduce.client.submit.file.replication</name>
<value>10</value> <value>10</value>
@ -906,41 +636,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.tasktracker.dns.interface</name>
<value>default</value>
<description>The name of the Network Interface from which a task
tracker should report its IP address.
</description>
</property>
<property>
<name>mapreduce.tasktracker.dns.nameserver</name>
<value>default</value>
<description>The host name or IP address of the name server (DNS)
which a TaskTracker should use to determine the host name used by
the JobTracker for communication and display purposes.
</description>
</property>
<property>
<name>mapreduce.tasktracker.http.threads</name>
<value>40</value>
<description>The number of worker threads that for the http server. This is
used for map output fetching
</description>
</property>
<property>
<name>mapreduce.tasktracker.http.address</name>
<value>0.0.0.0:50060</value>
<description>
The task tracker http server address and port.
If the port is 0 then the server will start on a free port.
</description>
</property>
<property> <property>
<name>mapreduce.task.files.preserve.failedtasks</name> <name>mapreduce.task.files.preserve.failedtasks</name>
<value>false</value> <value>false</value>
@ -1073,54 +768,10 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.job.userlog.retain.hours</name>
<value>24</value>
<description>The maximum time, in hours, for which the user-logs are to be
retained after the job completion.
</description>
</property>
<property>
<name>mapreduce.jobtracker.hosts.filename</name>
<value></value>
<description>Names a file that contains the list of nodes that may
connect to the jobtracker. If the value is empty, all hosts are
permitted.</description>
</property>
<property>
<name>mapreduce.jobtracker.hosts.exclude.filename</name>
<value></value>
<description>Names a file that contains the list of hosts that
should be excluded by the jobtracker. If the value is empty, no
hosts are excluded.</description>
</property>
<property>
<name>mapreduce.jobtracker.heartbeats.in.second</name>
<value>100</value>
<description>Expert: Approximate number of heart-beats that could arrive
at JobTracker in a second. Assuming each RPC can be processed
in 10msec, the default value is made 100 RPCs in a second.
</description>
</property>
<property>
<name>mapreduce.jobtracker.tasktracker.maxblacklists</name>
<value>4</value>
<description>The number of blacklists for a taskTracker by various jobs
after which the task tracker could be blacklisted across
all jobs. The tracker will be given a tasks later
(after a day). The tracker will become a healthy
tracker after a restart.
</description>
</property>
<property> <property>
<name>mapreduce.job.maxtaskfailures.per.tracker</name> <name>mapreduce.job.maxtaskfailures.per.tracker</name>
<value>3</value> <value>3</value>
<description>The number of task-failures on a tasktracker 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 after which new tasks of that job aren't assigned to it. It
MUST be less than mapreduce.map.maxattempts and MUST be less than mapreduce.map.maxattempts and
mapreduce.reduce.maxattempts otherwise the failed task will mapreduce.reduce.maxattempts otherwise the failed task will
@ -1142,8 +793,8 @@
<name>mapreduce.client.completion.pollinterval</name> <name>mapreduce.client.completion.pollinterval</name>
<value>5000</value> <value>5000</value>
<description>The interval (in milliseconds) between which the JobClient <description>The interval (in milliseconds) between which the JobClient
polls the JobTracker for updates about job status. You may want to set this polls the MapReduce ApplicationMaster for updates about job status. You may want to
to a lower value to make tests run faster on a single node system. Adjusting set this to a lower value to make tests run faster on a single node system. Adjusting
this value in production may lead to unwanted client-server traffic. this value in production may lead to unwanted client-server traffic.
</description> </description>
</property> </property>
@ -1158,32 +809,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.jobtracker.persist.jobstatus.active</name>
<value>true</value>
<description>Indicates if persistency of job status information is
active or not.
</description>
</property>
<property>
<name>mapreduce.jobtracker.persist.jobstatus.hours</name>
<value>1</value>
<description>The number of hours job status information is persisted in DFS.
The job status information will be available after it drops of the memory
queue and between jobtracker restarts. With a zero value the job status
information is not persisted at all in DFS.
</description>
</property>
<property>
<name>mapreduce.jobtracker.persist.jobstatus.dir</name>
<value>/jobtracker/jobsInfo</value>
<description>The directory where the job status information is persisted
in a file system to be available after it drops of the memory queue and
between jobtracker restarts.
</description>
</property>
<property> <property>
<name>mapreduce.task.profile</name> <name>mapreduce.task.profile</name>
@ -1241,8 +866,8 @@
<description> The number of Task attempts AFTER which skip mode <description> The number of Task attempts AFTER which skip mode
will be kicked off. When skip mode is kicked off, the will be kicked off. When skip mode is kicked off, the
tasks reports the range of records which it will process tasks reports the range of records which it will process
next, to the TaskTracker. So that on failures, TT knows which next, to the MR ApplicationMaster. So that on failures, the MR AM
ones are possibly the bad records. On further executions, knows which ones are possibly the bad records. On further executions,
those are skipped. those are skipped.
</description> </description>
</property> </property>
@ -1325,15 +950,6 @@
</property> </property>
<!-- Proxy Configuration --> <!-- Proxy Configuration -->
<property>
<name>mapreduce.jobtracker.taskcache.levels</name>
<value>2</value>
<description> This is the max level of the task cache. For example, if
the level is 2, the tasks cached are at the host level and at the rack
level.
</description>
</property>
<property> <property>
<name>mapreduce.job.queuename</name> <name>mapreduce.job.queuename</name>
<value>default</value> <value>default</value>
@ -1353,19 +969,30 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.cluster.local.dir</name>
<value>${hadoop.tmp.dir}/mapred/local</value>
<description>
The local directory where MapReduce stores intermediate
data files. May be a comma-separated list of
directories on different devices in order to spread disk i/o.
Directories that do not exist are ignored.
</description>
</property>
<property> <property>
<name>mapreduce.cluster.acls.enabled</name> <name>mapreduce.cluster.acls.enabled</name>
<value>false</value> <value>false</value>
<description> Specifies whether ACLs should be checked <description> Specifies whether ACLs should be checked
for authorization of users for doing various queue and job level operations. for authorization of users for doing various queue and job level operations.
ACLs are disabled by default. If enabled, access control checks are made by ACLs are disabled by default. If enabled, access control checks are made by
JobTracker and TaskTracker when requests are made by users for queue MapReduce ApplicationMaster when requests are made by users for queue
operations like submit job to a queue and kill a job in the queue and job operations like submit job to a queue and kill a job in the queue and job
operations like viewing the job-details (See mapreduce.job.acl-view-job) operations like viewing the job-details (See mapreduce.job.acl-view-job)
or for modifying the job (See mapreduce.job.acl-modify-job) using or for modifying the job (See mapreduce.job.acl-modify-job) using
Map/Reduce APIs, RPCs or via the console and web user interfaces. Map/Reduce APIs, RPCs or via the console and web user interfaces.
For enabling this flag(mapreduce.cluster.acls.enabled), this is to be set For enabling this flag, set to true in mapred-site.xml file of all
to true in mapred-site.xml on JobTracker node and on all TaskTracker nodes. MapReduce clients (MR job submitting nodes).
</description> </description>
</property> </property>
@ -1418,8 +1045,8 @@
o job-level counters o job-level counters
o task-level counters o task-level counters
o tasks' diagnostic information o tasks' diagnostic information
o task-logs displayed on the TaskTracker web-UI and o task-logs displayed on the HistoryServer's web-UI and
o job.xml showed by the JobTracker's web-UI o job.xml showed by the HistoryServer's web-UI
Every other piece of information of jobs is still accessible by any other Every other piece of information of jobs is still accessible by any other
user, for e.g., JobStatus, JobProfile, list of jobs in the queue, etc. user, for e.g., JobStatus, JobProfile, list of jobs in the queue, etc.
@ -1436,14 +1063,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.tasktracker.indexcache.mb</name>
<value>10</value>
<description> The maximum memory that a task tracker allows for the
index cache that is used when serving map outputs to reducers.
</description>
</property>
<property> <property>
<name>mapreduce.job.token.tracking.ids.enabled</name> <name>mapreduce.job.token.tracking.ids.enabled</name>
<value>false</value> <value>false</value>
@ -1465,7 +1084,7 @@
<name>mapreduce.task.merge.progress.records</name> <name>mapreduce.task.merge.progress.records</name>
<value>10000</value> <value>10000</value>
<description> The number of records to process during merge before <description> The number of records to process during merge before
sending a progress notification to the TaskTracker. sending a progress notification to the MR ApplicationMaster.
</description> </description>
</property> </property>
@ -1493,22 +1112,6 @@
</description> </description>
</property> </property>
<property>
<name>mapreduce.tasktracker.taskcontroller</name>
<value>org.apache.hadoop.mapred.DefaultTaskController</value>
<description>TaskController which is used to launch and manage task execution
</description>
</property>
<property>
<name>mapreduce.tasktracker.group</name>
<value></value>
<description>Expert: Group to which TaskTracker belongs. If
LinuxTaskController is configured via mapreduce.tasktracker.taskcontroller,
the group owner of the task-controller binary should be same as this group.
</description>
</property>
<property> <property>
<name>mapreduce.shuffle.port</name> <name>mapreduce.shuffle.port</name>
<value>13562</value> <value>13562</value>
@ -1528,42 +1131,6 @@
</description> </description>
</property> </property>
<!-- Node health script variables -->
<property>
<name>mapreduce.tasktracker.healthchecker.script.path</name>
<value></value>
<description>Absolute path to the script which is
periodicallyrun by the node health monitoring service to determine if
the node is healthy or not. If the value of this key is empty or the
file does not exist in the location configured here, the node health
monitoring service is not started.</description>
</property>
<property>
<name>mapreduce.tasktracker.healthchecker.interval</name>
<value>60000</value>
<description>Frequency of the node health script to be run,
in milliseconds</description>
</property>
<property>
<name>mapreduce.tasktracker.healthchecker.script.timeout</name>
<value>600000</value>
<description>Time after node health script should be killed if
unresponsive and considered that the script has failed.</description>
</property>
<property>
<name>mapreduce.tasktracker.healthchecker.script.args</name>
<value></value>
<description>List of arguments which are to be passed to
node health script when it is being launched comma seperated.
</description>
</property>
<!-- end of node health script variables -->
<!-- MR YARN Application properties --> <!-- MR YARN Application properties -->
<property> <property>