apache
/
hadoop
镜像自地址 https://github.com/apache/hadoop.git


			
				
					
						
						
							123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955956957958959960961962963964965966967968969970971972973974975976977978979980981982983984985986987988989990991992993994995996997998999100010011002100310041005100610071008100910101011101210131014101510161017101810191020102110221023102410251026102710281029103010311032103310341035103610371038103910401041104210431044104510461047104810491050105110521053105410551056105710581059106010611062106310641065106610671068106910701071107210731074107510761077107810791080108110821083108410851086108710881089109010911092109310941095
							<html>
<body>
<table border="1">
<tr>
<td>name</td><td>value</td><td>description</td>
</tr>
<tr>
<td><a name="hadoop.tmp.dir">hadoop.tmp.dir</a></td><td>/tmp/hadoop-${user.name}</td><td>A base for other temporary directories.</td>
</tr>
<tr>
<td><a name="hadoop.native.lib">hadoop.native.lib</a></td><td>true</td><td>Should native hadoop libraries, if present, be used.</td>
</tr>
<tr>
<td><a name="hadoop.http.filter.initializers">hadoop.http.filter.initializers</a></td><td></td><td>A comma separated list of class names. Each class in the list 
  must extend org.apache.hadoop.http.FilterInitializer. The corresponding 
  Filter will be initialized. Then, the Filter will be applied to all user 
  facing jsp and servlet web pages.  The ordering of the list defines the 
  ordering of the filters.</td>
</tr>
<tr>
<td><a name="hadoop.logfile.size">hadoop.logfile.size</a></td><td>10000000</td><td>The max size of each log file</td>
</tr>
<tr>
<td><a name="hadoop.logfile.count">hadoop.logfile.count</a></td><td>10</td><td>The max number of log files</td>
</tr>
<tr>
<td><a name="hadoop.job.history.location">hadoop.job.history.location</a></td><td></td><td> 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.
  </td>
</tr>
<tr>
<td><a name="hadoop.job.history.user.location">hadoop.job.history.user.location</a></td><td></td><td> 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". 
  </td>
</tr>
<tr>
<td><a name="dfs.namenode.logging.level">dfs.namenode.logging.level</a></td><td>info</td><td>The logging level for dfs namenode. Other values are "dir"(trac
e namespace mutations), "block"(trace block under/over replications and block
creations/deletions), or "all".</td>
</tr>
<tr>
<td><a name="io.sort.factor">io.sort.factor</a></td><td>10</td><td>The number of streams to merge at once while sorting
  files.  This determines the number of open file handles.</td>
</tr>
<tr>
<td><a name="io.sort.mb">io.sort.mb</a></td><td>100</td><td>The total amount of buffer memory to use while sorting 
  files, in megabytes.  By default, gives each merge stream 1MB, which
  should minimize seeks.</td>
</tr>
<tr>
<td><a name="io.sort.record.percent">io.sort.record.percent</a></td><td>0.05</td><td>The percentage of io.sort.mb dedicated to tracking record
  boundaries. Let this value be r, io.sort.mb be x. The maximum number
  of records collected before the collection thread must block is equal
  to (r * x) / 4</td>
</tr>
<tr>
<td><a name="io.sort.spill.percent">io.sort.spill.percent</a></td><td>0.80</td><td>The soft limit in either the buffer or record collection
  buffers. Once reached, a thread will begin to spill the contents to disk
  in the background. Note that this does not imply any chunking of data to
  the spill. A value less than 0.5 is not recommended.</td>
</tr>
<tr>
<td><a name="io.file.buffer.size">io.file.buffer.size</a></td><td>4096</td><td>The size of buffer for use in sequence files.
  The size of this buffer should probably be a multiple of hardware
  page size (4096 on Intel x86), and it determines how much data is
  buffered during read and write operations.</td>
</tr>
<tr>
<td><a name="io.bytes.per.checksum">io.bytes.per.checksum</a></td><td>512</td><td>The number of bytes per checksum.  Must not be larger than
  io.file.buffer.size.</td>
</tr>
<tr>
<td><a name="io.skip.checksum.errors">io.skip.checksum.errors</a></td><td>false</td><td>If true, when a checksum error is encountered while
  reading a sequence file, entries are skipped, instead of throwing an
  exception.</td>
</tr>
<tr>
<td><a name="io.map.index.skip">io.map.index.skip</a></td><td>0</td><td>Number of index entries to skip between each entry.
  Zero by default. Setting this to values larger than zero can
  facilitate opening large map files using less memory.</td>
</tr>
<tr>
<td><a name="io.compression.codecs">io.compression.codecs</a></td><td>org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.BZip2Codec</td><td>A list of the compression codec classes that can be used 
               for compression/decompression.</td>
</tr>
<tr>
<td><a name="io.serializations">io.serializations</a></td><td>org.apache.hadoop.io.serializer.WritableSerialization</td><td>A list of serialization classes that can be used for
  obtaining serializers and deserializers.</td>
</tr>
<tr>
<td><a name="fs.default.name">fs.default.name</a></td><td>file:///</td><td>The name of the default file system.  A URI whose
  scheme and authority determine the FileSystem implementation.  The
  uri's scheme determines the config property (fs.SCHEME.impl) naming
  the FileSystem implementation class.  The uri's authority is used to
  determine the host, port, etc. for a filesystem.</td>
</tr>
<tr>
<td><a name="fs.trash.interval">fs.trash.interval</a></td><td>0</td><td>Number of minutes between trash checkpoints.
  If zero, the trash feature is disabled.
  </td>
</tr>
<tr>
<td><a name="fs.file.impl">fs.file.impl</a></td><td>org.apache.hadoop.fs.LocalFileSystem</td><td>The FileSystem for file: uris.</td>
</tr>
<tr>
<td><a name="fs.hdfs.impl">fs.hdfs.impl</a></td><td>org.apache.hadoop.hdfs.DistributedFileSystem</td><td>The FileSystem for hdfs: uris.</td>
</tr>
<tr>
<td><a name="fs.s3.impl">fs.s3.impl</a></td><td>org.apache.hadoop.fs.s3.S3FileSystem</td><td>The FileSystem for s3: uris.</td>
</tr>
<tr>
<td><a name="fs.s3n.impl">fs.s3n.impl</a></td><td>org.apache.hadoop.fs.s3native.NativeS3FileSystem</td><td>The FileSystem for s3n: (Native S3) uris.</td>
</tr>
<tr>
<td><a name="fs.kfs.impl">fs.kfs.impl</a></td><td>org.apache.hadoop.fs.kfs.KosmosFileSystem</td><td>The FileSystem for kfs: uris.</td>
</tr>
<tr>
<td><a name="fs.hftp.impl">fs.hftp.impl</a></td><td>org.apache.hadoop.hdfs.HftpFileSystem</td><td></td>
</tr>
<tr>
<td><a name="fs.hsftp.impl">fs.hsftp.impl</a></td><td>org.apache.hadoop.hdfs.HsftpFileSystem</td><td></td>
</tr>
<tr>
<td><a name="fs.ftp.impl">fs.ftp.impl</a></td><td>org.apache.hadoop.fs.ftp.FTPFileSystem</td><td>The FileSystem for ftp: uris.</td>
</tr>
<tr>
<td><a name="fs.ramfs.impl">fs.ramfs.impl</a></td><td>org.apache.hadoop.fs.InMemoryFileSystem</td><td>The FileSystem for ramfs: uris.</td>
</tr>
<tr>
<td><a name="fs.har.impl">fs.har.impl</a></td><td>org.apache.hadoop.fs.HarFileSystem</td><td>The filesystem for Hadoop archives. </td>
</tr>
<tr>
<td><a name="fs.checkpoint.dir">fs.checkpoint.dir</a></td><td>${hadoop.tmp.dir}/dfs/namesecondary</td><td>Determines where on the local filesystem the DFS secondary
      name node should store the temporary images to merge.
      If this is a comma-delimited list of directories then the image is
      replicated in all of the directories for redundancy.
  </td>
</tr>
<tr>
<td><a name="fs.checkpoint.edits.dir">fs.checkpoint.edits.dir</a></td><td>${fs.checkpoint.dir}</td><td>Determines where on the local filesystem the DFS secondary
      name node should store the temporary edits to merge.
      If this is a comma-delimited list of directoires then teh edits is
      replicated in all of the directoires for redundancy.
      Default value is same as fs.checkpoint.dir
  </td>
</tr>
<tr>
<td><a name="fs.checkpoint.period">fs.checkpoint.period</a></td><td>3600</td><td>The number of seconds between two periodic checkpoints.
  </td>
</tr>
<tr>
<td><a name="fs.checkpoint.size">fs.checkpoint.size</a></td><td>67108864</td><td>The size of the current edit log (in bytes) that triggers
       a periodic checkpoint even if the fs.checkpoint.period hasn't expired.
  </td>
</tr>
<tr>
<td><a name="dfs.secondary.http.address">dfs.secondary.http.address</a></td><td>0.0.0.0:50090</td><td>
    The secondary namenode http server address and port.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.address">dfs.datanode.address</a></td><td>0.0.0.0:50010</td><td>
    The address where the datanode server will listen to.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.http.address">dfs.datanode.http.address</a></td><td>0.0.0.0:50075</td><td>
    The datanode http server address and port.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.ipc.address">dfs.datanode.ipc.address</a></td><td>0.0.0.0:50020</td><td>
    The datanode ipc server address and port.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.handler.count">dfs.datanode.handler.count</a></td><td>3</td><td>The number of server threads for the datanode.</td>
</tr>
<tr>
<td><a name="dfs.http.address">dfs.http.address</a></td><td>0.0.0.0:50070</td><td>
    The address and the base port where the dfs namenode web ui will listen on.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.https.address">dfs.datanode.https.address</a></td><td>0.0.0.0:50475</td><td></td>
</tr>
<tr>
<td><a name="dfs.https.address">dfs.https.address</a></td><td>0.0.0.0:50470</td><td></td>
</tr>
<tr>
<td><a name="https.keystore.info.rsrc">https.keystore.info.rsrc</a></td><td>sslinfo.xml</td><td>The name of the resource from which ssl keystore information
  will be extracted
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.dns.interface">dfs.datanode.dns.interface</a></td><td>default</td><td>The name of the Network Interface from which a data node should 
  report its IP address.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.dns.nameserver">dfs.datanode.dns.nameserver</a></td><td>default</td><td>The host name or IP address of the name server (DNS)
  which a DataNode should use to determine the host name used by the
  NameNode for communication and display purposes.
  </td>
</tr>
<tr>
<td><a name="dfs.replication.considerLoad">dfs.replication.considerLoad</a></td><td>true</td><td>Decide if chooseTarget considers the target's load or not
  </td>
</tr>
<tr>
<td><a name="dfs.default.chunk.view.size">dfs.default.chunk.view.size</a></td><td>32768</td><td>The number of bytes to view for a file on the browser.
  </td>
</tr>
<tr>
<td><a name="dfs.datanode.du.reserved">dfs.datanode.du.reserved</a></td><td>0</td><td>Reserved space in bytes per volume. Always leave this much space free for non dfs use.
  </td>
</tr>
<tr>
<td><a name="dfs.name.dir">dfs.name.dir</a></td><td>${hadoop.tmp.dir}/dfs/name</td><td>Determines where on the local filesystem the DFS name node
      should store the name table(fsimage).  If this is a comma-delimited list
      of directories then the name table is replicated in all of the
      directories, for redundancy. </td>
</tr>
<tr>
<td><a name="dfs.name.edits.dir">dfs.name.edits.dir</a></td><td>${dfs.name.dir}</td><td>Determines where on the local filesystem the DFS name node
      should store the transaction (edits) file. If this is a comma-delimited list
      of directories then the transaction file is replicated in all of the 
      directories, for redundancy. Default value is same as dfs.name.dir
  </td>
</tr>
<tr>
<td><a name="dfs.web.ugi">dfs.web.ugi</a></td><td>webuser,webgroup</td><td>The user account used by the web interface.
    Syntax: USERNAME,GROUP1,GROUP2, ...
  </td>
</tr>
<tr>
<td><a name="dfs.permissions">dfs.permissions</a></td><td>true</td><td>
    If "true", enable permission checking in HDFS.
    If "false", permission checking is turned off,
    but all other behavior is unchanged.
    Switching from one parameter value to the other does not change the mode,
    owner or group of files or directories.
  </td>
</tr>
<tr>
<td><a name="dfs.permissions.supergroup">dfs.permissions.supergroup</a></td><td>supergroup</td><td>The name of the group of super-users.</td>
</tr>
<tr>
<td><a name="dfs.data.dir">dfs.data.dir</a></td><td>${hadoop.tmp.dir}/dfs/data</td><td>Determines where on the local filesystem an DFS data node
  should store its blocks.  If this is a comma-delimited
  list of directories, then data will be stored in all named
  directories, typically on different devices.
  Directories that do not exist are ignored.
  </td>
</tr>
<tr>
<td><a name="dfs.replication">dfs.replication</a></td><td>3</td><td>Default block replication. 
  The actual number of replications can be specified when the file is created.
  The default is used if replication is not specified in create time.
  </td>
</tr>
<tr>
<td><a name="dfs.replication.max">dfs.replication.max</a></td><td>512</td><td>Maximal block replication. 
  </td>
</tr>
<tr>
<td><a name="dfs.replication.min">dfs.replication.min</a></td><td>1</td><td>Minimal block replication. 
  </td>
</tr>
<tr>
<td><a name="dfs.block.size">dfs.block.size</a></td><td>67108864</td><td>The default block size for new files.</td>
</tr>
<tr>
<td><a name="dfs.df.interval">dfs.df.interval</a></td><td>60000</td><td>Disk usage statistics refresh interval in msec.</td>
</tr>
<tr>
<td><a name="dfs.client.block.write.retries">dfs.client.block.write.retries</a></td><td>3</td><td>The number of retries for writing blocks to the data nodes, 
  before we signal failure to the application.
  </td>
</tr>
<tr>
<td><a name="dfs.blockreport.intervalMsec">dfs.blockreport.intervalMsec</a></td><td>3600000</td><td>Determines block reporting interval in milliseconds.</td>
</tr>
<tr>
<td><a name="dfs.blockreport.initialDelay">dfs.blockreport.initialDelay</a></td><td>0</td><td>Delay for first block report in seconds.</td>
</tr>
<tr>
<td><a name="dfs.heartbeat.interval">dfs.heartbeat.interval</a></td><td>3</td><td>Determines datanode heartbeat interval in seconds.</td>
</tr>
<tr>
<td><a name="dfs.namenode.handler.count">dfs.namenode.handler.count</a></td><td>10</td><td>The number of server threads for the namenode.</td>
</tr>
<tr>
<td><a name="dfs.safemode.threshold.pct">dfs.safemode.threshold.pct</a></td><td>0.999f</td><td>
  	Specifies the percentage of blocks that should satisfy 
  	the minimal replication requirement defined by dfs.replication.min.
  	Values less than or equal to 0 mean not to start in safe mode.
  	Values greater than 1 will make safe mode permanent.
 	</td>
</tr>
<tr>
<td><a name="dfs.safemode.extension">dfs.safemode.extension</a></td><td>30000</td><td>
  	Determines extension of safe mode in milliseconds 
  	after the threshold level is reached.
 	</td>
</tr>
<tr>
<td><a name="dfs.balance.bandwidthPerSec">dfs.balance.bandwidthPerSec</a></td><td>1048576</td><td>
        Specifies the maximum amount of bandwidth that each datanode
        can utilize for the balancing purpose in term of
        the number of bytes per second.
  </td>
</tr>
<tr>
<td><a name="dfs.hosts">dfs.hosts</a></td><td></td><td>Names a file that contains a list of hosts that are
  permitted to connect to the namenode. The full pathname of the file
  must be specified.  If the value is empty, all hosts are
  permitted.</td>
</tr>
<tr>
<td><a name="dfs.hosts.exclude">dfs.hosts.exclude</a></td><td></td><td>Names a file that contains a list of hosts that are
  not permitted to connect to the namenode.  The full pathname of the
  file must be specified.  If the value is empty, no hosts are
  excluded.</td>
</tr>
<tr>
<td><a name="dfs.max.objects">dfs.max.objects</a></td><td>0</td><td>The maximum number of files, directories and blocks
  dfs supports. A value of zero indicates no limit to the number
  of objects that dfs supports.
  </td>
</tr>
<tr>
<td><a name="dfs.namenode.decommission.interval">dfs.namenode.decommission.interval</a></td><td>30</td><td>Namenode periodicity in seconds to check if decommission is 
  complete.</td>
</tr>
<tr>
<td><a name="dfs.namenode.decommission.nodes.per.interval">dfs.namenode.decommission.nodes.per.interval</a></td><td>5</td><td>The number of nodes namenode checks if decommission is complete
  in each dfs.namenode.decommission.interval.</td>
</tr>
<tr>
<td><a name="dfs.replication.interval">dfs.replication.interval</a></td><td>3</td><td>The periodicity in seconds with which the namenode computes 
  repliaction work for datanodes. </td>
</tr>
<tr>
<td><a name="dfs.access.time.precision">dfs.access.time.precision</a></td><td>3600000</td><td>The access time for HDFS file is precise upto this value. 
               The default value is 1 hour. Setting a value of 0 disables
               access times for HDFS.
  </td>
</tr>
<tr>
<td><a name="fs.s3.block.size">fs.s3.block.size</a></td><td>67108864</td><td>Block size to use when writing files to S3.</td>
</tr>
<tr>
<td><a name="fs.s3.buffer.dir">fs.s3.buffer.dir</a></td><td>${hadoop.tmp.dir}/s3</td><td>Determines where on the local filesystem the S3 filesystem
  should store files before sending them to S3
  (or after retrieving them from S3).
  </td>
</tr>
<tr>
<td><a name="fs.s3.maxRetries">fs.s3.maxRetries</a></td><td>4</td><td>The maximum number of retries for reading or writing files to S3, 
  before we signal failure to the application.
  </td>
</tr>
<tr>
<td><a name="fs.s3.sleepTimeSeconds">fs.s3.sleepTimeSeconds</a></td><td>10</td><td>The number of seconds to sleep between each S3 retry.
  </td>
</tr>
<tr>
<td><a name="mapred.job.tracker">mapred.job.tracker</a></td><td>local</td><td>The host and port that the MapReduce job tracker runs
  at.  If "local", then jobs are run in-process as a single map
  and reduce task.
  </td>
</tr>
<tr>
<td><a name="mapred.job.tracker.http.address">mapred.job.tracker.http.address</a></td><td>0.0.0.0:50030</td><td>
    The job tracker http server address and port the server will listen on.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="mapred.job.tracker.handler.count">mapred.job.tracker.handler.count</a></td><td>10</td><td>
    The number of server threads for the JobTracker. This should be roughly
    4% of the number of tasktracker nodes.
  </td>
</tr>
<tr>
<td><a name="mapred.task.tracker.report.address">mapred.task.tracker.report.address</a></td><td>127.0.0.1:0</td><td>The interface and port that task tracker server listens on. 
  Since it is only connected to by the tasks, it uses the local interface.
  EXPERT ONLY. Should only be changed if your host does not have the loopback 
  interface.</td>
</tr>
<tr>
<td><a name="mapred.local.dir">mapred.local.dir</a></td><td>${hadoop.tmp.dir}/mapred/local</td><td>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.
  </td>
</tr>
<tr>
<td><a name="local.cache.size">local.cache.size</a></td><td>10737418240</td><td>The limit on the size of cache you want to keep, set by default
  to 10GB. This will act as a soft limit on the cache directory for out of band data.
  </td>
</tr>
<tr>
<td><a name="mapred.system.dir">mapred.system.dir</a></td><td>${hadoop.tmp.dir}/mapred/system</td><td>The shared directory where MapReduce stores control files.
  </td>
</tr>
<tr>
<td><a name="mapred.temp.dir">mapred.temp.dir</a></td><td>${hadoop.tmp.dir}/mapred/temp</td><td>A shared directory for temporary files.
  </td>
</tr>
<tr>
<td><a name="mapred.local.dir.minspacestart">mapred.local.dir.minspacestart</a></td><td>0</td><td>If the space in mapred.local.dir drops under this, 
  do not ask for more tasks.
  Value in bytes.
  </td>
</tr>
<tr>
<td><a name="mapred.local.dir.minspacekill">mapred.local.dir.minspacekill</a></td><td>0</td><td>If the space in mapred.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.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.expiry.interval">mapred.tasktracker.expiry.interval</a></td><td>600000</td><td>Expert: The time-interval, in miliseconds, after which
  a tasktracker is declared 'lost' if it doesn't send heartbeats.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.instrumentation">mapred.tasktracker.instrumentation</a></td><td>org.apache.hadoop.mapred.TaskTrackerMetricsInst</td><td>Expert: The instrumentation class to associate with each TaskTracker.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.vmem.reserved">mapred.tasktracker.vmem.reserved</a></td><td>-1</td><td>Configuration property to specify the amount of virtual memory
    that has to be reserved by the TaskTracker for system usage (OS, TT etc).
    The reserved virtual memory should be a part of the total virtual memory
    available on the TaskTracker.
    
    The reserved virtual memory and the total virtual memory values are
    reported by the TaskTracker as part of heart-beat so that they can
    considered by a scheduler. Please refer to the documentation of the
    configured scheduler to see how this property is used.
    
    These two values are also used by a TaskTracker for tracking tasks' memory
    usage. Memory management functionality on a TaskTracker is disabled if this
    property is set to -1, if it more than the total virtual memory on the 
    tasktracker, or if either of the values is negative.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.pmem.reserved">mapred.tasktracker.pmem.reserved</a></td><td>-1</td><td>Configuration property to specify the amount of physical memory
    that has to be reserved by the TaskTracker for system usage (OS, TT etc).
    The reserved physical memory should be a part of the total physical memory
    available on the TaskTracker.

    The reserved physical memory and the total physical memory values are
    reported by the TaskTracker as part of heart-beat so that they can
    considered by a scheduler. Please refer to the documentation of the
    configured scheduler to see how this property is used.
  </td>
</tr>
<tr>
<td><a name="mapred.task.default.maxvmem">mapred.task.default.maxvmem</a></td><td>-1</td><td>
    Cluster-wide configuration in bytes to be set by the administrators that
    provides default amount of maximum virtual memory for job's tasks. This has
    to be set on both the JobTracker node for the sake of scheduling decisions
    and on the TaskTracker nodes for the sake of memory management.

    If a job doesn't specify its virtual memory requirement by setting
    mapred.task.maxvmem to -1, tasks are assured a memory limit set
    to this property. This property is set to -1 by default.

    This value should in general be less than the cluster-wide
    configuration mapred.task.limit.maxvmem. If not or if it is not set,
    TaskTracker's memory management will be disabled and a scheduler's memory
    based scheduling decisions may be affected. Please refer to the
    documentation of the configured scheduler to see how this property is used.
  </td>
</tr>
<tr>
<td><a name="mapred.task.limit.maxvmem">mapred.task.limit.maxvmem</a></td><td>-1</td><td>
    Cluster-wide configuration in bytes to be set by the site administrators
    that provides an upper limit on the maximum virtual memory that can be
    specified by a job via mapred.task.maxvmem. This has to be set on both the
    JobTracker node for the sake of scheduling decisions and on the TaskTracker
    nodes for the sake of memory management.
    
    The job configuration mapred.task.maxvmem should not be more than this
    value, otherwise depending on the scheduler being configured, the job may
    be rejected or the job configuration may just be ignored. Please refer to
    the documentation of the configured scheduler to see how this property is
    used.

    If it is not set a TaskTracker, TaskTracker's memory management will be
    disabled.
  </td>
</tr>
<tr>
<td><a name="mapred.task.maxvmem">mapred.task.maxvmem</a></td><td>-1</td><td>
    The maximum amount of virtual memory any task of a job will use, in bytes.

    This value will be used by TaskTrackers for monitoring the memory usage of
    tasks of this jobs. If a TaskTracker's memory management functionality is
    enabled, each task of this job will be allowed to use a maximum virtual
    memory specified by this property. If the task's memory usage goes over 
    this value, the task will be failed by the TT. If not set, the
    cluster-wide configuration mapred.task.default.maxvmem is used as the
    default value for memory requirements. If this property cascaded with
    mapred.task.default.maxvmem becomes equal to -1, the job's tasks will
    not be assured any particular amount of virtual memory and may be killed by
    a TT that intends to control the total memory usage of the tasks via memory
    management functionality. If the memory management functionality is
    disabled on a TT, this value is ignored.

    This value should not be more than the cluster-wide configuration
    mapred.task.limit.maxvmem.

    This value may be used by schedulers that support scheduling based on job's
    memory requirements. Please refer to the documentation of the scheduler
    being configured to see if it does memory based scheduling and if it does,
    how this property is used by that scheduler.
  </td>
</tr>
<tr>
<td><a name="mapred.task.maxpmem">mapred.task.maxpmem</a></td><td>-1</td><td>
   The maximum amount of physical memory any task of a job will use in bytes.

   This value may be used by schedulers that support scheduling based on job's
   memory requirements. In general, a task of this job will be scheduled on a
   TaskTracker, only if the amount of physical memory still unoccupied on the
   TaskTracker is greater than or equal to this value. Different schedulers can
   take different decisions, some might just ignore this value. Please refer to
   the documentation of the scheduler being configured to see if it does
   memory based scheduling and if it does, how this variable is used by that
   scheduler.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.memory_calculator_plugin">mapred.tasktracker.memory_calculator_plugin</a></td><td></td><td>
   Name of the class whose instance will be used to query memory information
   on the tasktracker.
   
   The class must be an instance of 
   org.apache.hadoop.util.MemoryCalculatorPlugin. If the value is null, the
   tasktracker attempts to use a class appropriate to the platform. 
   Currently, the only platform supported is Linux.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.taskmemorymanager.monitoring-interval">mapred.tasktracker.taskmemorymanager.monitoring-interval</a></td><td>5000</td><td>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.
   </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.procfsbasedprocesstree.sleeptime-before-sigkill">mapred.tasktracker.procfsbasedprocesstree.sleeptime-before-sigkill</a></td><td>5000</td><td>The time, in milliseconds, the tasktracker waits for sending a
  SIGKILL to a process that has overrun memory limits, after it has been sent
  a SIGTERM. Used only if tasks' memory management is enabled via
  mapred.tasktracker.tasks.maxmemory.</td>
</tr>
<tr>
<td><a name="mapred.map.tasks">mapred.map.tasks</a></td><td>2</td><td>The default number of map tasks per job.  Typically set
  to a prime several times greater than number of available hosts.
  Ignored when mapred.job.tracker is "local".  
  </td>
</tr>
<tr>
<td><a name="mapred.reduce.tasks">mapred.reduce.tasks</a></td><td>1</td><td>The default number of reduce tasks per job.  Typically set
  to a prime close to the number of available hosts.  Ignored when
  mapred.job.tracker is "local".
  </td>
</tr>
<tr>
<td><a name="mapred.jobtracker.restart.recover">mapred.jobtracker.restart.recover</a></td><td>false</td><td>"true" to enable (job) recovery upon restart,
               "false" to start afresh
  </td>
</tr>
<tr>
<td><a name="mapred.jobtracker.job.history.block.size">mapred.jobtracker.job.history.block.size</a></td><td>3145728</td><td>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.
  </td>
</tr>
<tr>
<td><a name="mapred.jobtracker.taskScheduler">mapred.jobtracker.taskScheduler</a></td><td>org.apache.hadoop.mapred.JobQueueTaskScheduler</td><td>The class responsible for scheduling the tasks.</td>
</tr>
<tr>
<td><a name="mapred.jobtracker.taskScheduler.maxRunningTasksPerJob">mapred.jobtracker.taskScheduler.maxRunningTasksPerJob</a></td><td></td><td>The maximum number of running tasks for a job before
  it gets preempted. No limits if undefined.
  </td>
</tr>
<tr>
<td><a name="mapred.map.max.attempts">mapred.map.max.attempts</a></td><td>4</td><td>Expert: The maximum number of attempts per map task.
  In other words, framework will try to execute a map task these many number
  of times before giving up on it.
  </td>
</tr>
<tr>
<td><a name="mapred.reduce.max.attempts">mapred.reduce.max.attempts</a></td><td>4</td><td>Expert: The maximum number of attempts per reduce task.
  In other words, framework will try to execute a reduce task these many number
  of times before giving up on it.
  </td>
</tr>
<tr>
<td><a name="mapred.reduce.parallel.copies">mapred.reduce.parallel.copies</a></td><td>5</td><td>The default number of parallel transfers run by reduce
  during the copy(shuffle) phase.
  </td>
</tr>
<tr>
<td><a name="mapred.reduce.copy.backoff">mapred.reduce.copy.backoff</a></td><td>300</td><td>The maximum amount of time (in seconds) a reducer spends on 
  fetching one map output before declaring it as failed.
  </td>
</tr>
<tr>
<td><a name="mapred.task.timeout">mapred.task.timeout</a></td><td>600000</td><td>The number of milliseconds before a task will be
  terminated if it neither reads an input, writes an output, nor
  updates its status string.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.map.tasks.maximum">mapred.tasktracker.map.tasks.maximum</a></td><td>2</td><td>The maximum number of map tasks that will be run
  simultaneously by a task tracker.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.reduce.tasks.maximum">mapred.tasktracker.reduce.tasks.maximum</a></td><td>2</td><td>The maximum number of reduce tasks that will be run
  simultaneously by a task tracker.
  </td>
</tr>
<tr>
<td><a name="mapred.jobtracker.completeuserjobs.maximum">mapred.jobtracker.completeuserjobs.maximum</a></td><td>100</td><td>The maximum number of complete jobs per user to keep around 
  before delegating them to the job history.</td>
</tr>
<tr>
<td><a name="mapred.jobtracker.instrumentation">mapred.jobtracker.instrumentation</a></td><td>org.apache.hadoop.mapred.JobTrackerMetricsInst</td><td>Expert: The instrumentation class to associate with each JobTracker.
  </td>
</tr>
<tr>
<td><a name="mapred.child.java.opts">mapred.child.java.opts</a></td><td>-Xmx200m</td><td>Java opts for the task tracker child 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
  
  The configuration variable mapred.child.ulimit can be used to control the
  maximum virtual memory of the child processes. 
  </td>
</tr>
<tr>
<td><a name="mapred.child.ulimit">mapred.child.ulimit</a></td><td></td><td>The maximum virtual memory, in KB, of a process launched by the 
  Map-Reduce framework. This can be used to control both the Mapper/Reducer 
  tasks and applications using Hadoop Pipes, Hadoop Streaming etc. 
  By default it is left unspecified to let cluster admins control it via 
  limits.conf and other such relevant mechanisms.
  
  Note: mapred.child.ulimit must be greater than or equal to the -Xmx passed to
  JavaVM, else the VM might not start. 
  </td>
</tr>
<tr>
<td><a name="mapred.child.tmp">mapred.child.tmp</a></td><td>./tmp</td><td> To set the value of tmp directory for map and reduce tasks.
  If the value is an absolute path, it is directly assigned. Otherwise, it is
  prepended with task's working directory. The java tasks are executed with
  option -Djava.io.tmpdir='the absolute path of the tmp dir'. Pipes and
  streaming are set with environment variable,
   TMPDIR='the absolute path of the tmp dir'
  </td>
</tr>
<tr>
<td><a name="mapred.inmem.merge.threshold">mapred.inmem.merge.threshold</a></td><td>1000</td><td>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.
  </td>
</tr>
<tr>
<td><a name="mapred.job.shuffle.merge.percent">mapred.job.shuffle.merge.percent</a></td><td>0.66</td><td>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
  mapred.job.shuffle.input.buffer.percent.
  </td>
</tr>
<tr>
<td><a name="mapred.job.shuffle.input.buffer.percent">mapred.job.shuffle.input.buffer.percent</a></td><td>0.70</td><td>The percentage of memory to be allocated from the maximum heap
  size to storing map outputs during the shuffle.
  </td>
</tr>
<tr>
<td><a name="mapred.job.reduce.input.buffer.percent">mapred.job.reduce.input.buffer.percent</a></td><td>0.0</td><td>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.
  </td>
</tr>
<tr>
<td><a name="mapred.map.tasks.speculative.execution">mapred.map.tasks.speculative.execution</a></td><td>true</td><td>If true, then multiple instances of some map tasks 
               may be executed in parallel.</td>
</tr>
<tr>
<td><a name="mapred.reduce.tasks.speculative.execution">mapred.reduce.tasks.speculative.execution</a></td><td>true</td><td>If true, then multiple instances of some reduce tasks 
               may be executed in parallel.</td>
</tr>
<tr>
<td><a name="mapred.job.reuse.jvm.num.tasks">mapred.job.reuse.jvm.num.tasks</a></td><td>1</td><td>How many tasks to run per jvm. If set to -1, there is
  no limit. 
  </td>
</tr>
<tr>
<td><a name="mapred.min.split.size">mapred.min.split.size</a></td><td>0</td><td>The minimum size chunk that map input should be split
  into.  Note that some file formats may have minimum split sizes that
  take priority over this setting.</td>
</tr>
<tr>
<td><a name="mapred.jobtracker.maxtasks.per.job">mapred.jobtracker.maxtasks.per.job</a></td><td>-1</td><td>The maximum number of tasks for a single job.
  A value of -1 indicates that there is no maximum.  </td>
</tr>
<tr>
<td><a name="mapred.submit.replication">mapred.submit.replication</a></td><td>10</td><td>The replication level for submitted job files.  This
  should be around the square root of the number of nodes.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.dns.interface">mapred.tasktracker.dns.interface</a></td><td>default</td><td>The name of the Network Interface from which a task
  tracker should report its IP address.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.dns.nameserver">mapred.tasktracker.dns.nameserver</a></td><td>default</td><td>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.
  </td>
</tr>
<tr>
<td><a name="tasktracker.http.threads">tasktracker.http.threads</a></td><td>40</td><td>The number of worker threads that for the http server. This is
               used for map output fetching
  </td>
</tr>
<tr>
<td><a name="mapred.task.tracker.http.address">mapred.task.tracker.http.address</a></td><td>0.0.0.0:50060</td><td>
    The task tracker http server address and port.
    If the port is 0 then the server will start on a free port.
  </td>
</tr>
<tr>
<td><a name="keep.failed.task.files">keep.failed.task.files</a></td><td>false</td><td>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.</td>
</tr>
<tr>
<td><a name="mapred.output.compress">mapred.output.compress</a></td><td>false</td><td>Should the job outputs be compressed?
  </td>
</tr>
<tr>
<td><a name="mapred.output.compression.type">mapred.output.compression.type</a></td><td>RECORD</td><td>If the job outputs are to compressed as SequenceFiles, how should
               they be compressed? Should be one of NONE, RECORD or BLOCK.
  </td>
</tr>
<tr>
<td><a name="mapred.output.compression.codec">mapred.output.compression.codec</a></td><td>org.apache.hadoop.io.compress.DefaultCodec</td><td>If the job outputs are compressed, how should they be compressed?
  </td>
</tr>
<tr>
<td><a name="mapred.compress.map.output">mapred.compress.map.output</a></td><td>false</td><td>Should the outputs of the maps be compressed before being
               sent across the network. Uses SequenceFile compression.
  </td>
</tr>
<tr>
<td><a name="mapred.map.output.compression.codec">mapred.map.output.compression.codec</a></td><td>org.apache.hadoop.io.compress.DefaultCodec</td><td>If the map outputs are compressed, how should they be 
               compressed?
  </td>
</tr>
<tr>
<td><a name="io.seqfile.compress.blocksize">io.seqfile.compress.blocksize</a></td><td>1000000</td><td>The minimum block size for compression in block compressed 
  				SequenceFiles.
  </td>
</tr>
<tr>
<td><a name="io.seqfile.lazydecompress">io.seqfile.lazydecompress</a></td><td>true</td><td>Should values of block-compressed SequenceFiles be decompressed
  				only when necessary.
  </td>
</tr>
<tr>
<td><a name="io.seqfile.sorter.recordlimit">io.seqfile.sorter.recordlimit</a></td><td>1000000</td><td>The limit on number of records to be kept in memory in a spill 
  				in SequenceFiles.Sorter
  </td>
</tr>
<tr>
<td><a name="map.sort.class">map.sort.class</a></td><td>org.apache.hadoop.util.QuickSort</td><td>The default sort class for sorting keys.
  </td>
</tr>
<tr>
<td><a name="mapred.userlog.limit.kb">mapred.userlog.limit.kb</a></td><td>0</td><td>The maximum size of user-logs of each task in KB. 0 disables the cap.
  </td>
</tr>
<tr>
<td><a name="mapred.userlog.retain.hours">mapred.userlog.retain.hours</a></td><td>24</td><td>The maximum time, in hours, for which the user-logs are to be 
  				retained.
  </td>
</tr>
<tr>
<td><a name="mapred.hosts">mapred.hosts</a></td><td></td><td>Names a file that contains the list of nodes that may
  connect to the jobtracker.  If the value is empty, all hosts are
  permitted.</td>
</tr>
<tr>
<td><a name="mapred.hosts.exclude">mapred.hosts.exclude</a></td><td></td><td>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.</td>
</tr>
<tr>
<td><a name="mapred.max.tracker.blacklists">mapred.max.tracker.blacklists</a></td><td>4</td><td>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. 
  </td>
</tr>
<tr>
<td><a name="mapred.max.tracker.failures">mapred.max.tracker.failures</a></td><td>4</td><td>The number of task-failures on a tasktracker of a given job 
               after which new tasks of that job aren't assigned to it.
  </td>
</tr>
<tr>
<td><a name="jobclient.output.filter">jobclient.output.filter</a></td><td>FAILED</td><td>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 
               ALL.
  </td>
</tr>
<tr>
<td><a name="mapred.job.tracker.persist.jobstatus.active">mapred.job.tracker.persist.jobstatus.active</a></td><td>false</td><td>Indicates if persistency of job status information is
      active or not.
    </td>
</tr>
<tr>
<td><a name="mapred.job.tracker.persist.jobstatus.hours">mapred.job.tracker.persist.jobstatus.hours</a></td><td>0</td><td>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.
  </td>
</tr>
<tr>
<td><a name="mapred.job.tracker.persist.jobstatus.dir">mapred.job.tracker.persist.jobstatus.dir</a></td><td>/jobtracker/jobsInfo</td><td>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.
    </td>
</tr>
<tr>
<td><a name="mapred.task.profile">mapred.task.profile</a></td><td>false</td><td>To set whether the system should collect profiler
     information for some of the tasks in this job? The information is stored
     in the user log directory. The value is "true" if task profiling
     is enabled.</td>
</tr>
<tr>
<td><a name="mapred.task.profile.maps">mapred.task.profile.maps</a></td><td>0-2</td><td> To set the ranges of map tasks to profile.
    mapred.task.profile has to be set to true for the value to be accounted.
    </td>
</tr>
<tr>
<td><a name="mapred.task.profile.reduces">mapred.task.profile.reduces</a></td><td>0-2</td><td> To set the ranges of reduce tasks to profile.
    mapred.task.profile has to be set to true for the value to be accounted.
    </td>
</tr>
<tr>
<td><a name="mapred.line.input.format.linespermap">mapred.line.input.format.linespermap</a></td><td>1</td><td> Number of lines per split in NLineInputFormat.
    </td>
</tr>
<tr>
<td><a name="mapred.skip.attempts.to.start.skipping">mapred.skip.attempts.to.start.skipping</a></td><td>2</td><td> 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 TaskTracker. So that on failures, TT knows which 
    ones are possibly the bad records. On further executions, 
    those are skipped.
    </td>
</tr>
<tr>
<td><a name="mapred.skip.map.auto.incr.proc.count">mapred.skip.map.auto.incr.proc.count</a></td><td>true</td><td> The flag which if set to true, 
    SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS is incremented 
    by MapRunner after invoking the map function. This value must be set to 
    false for applications which process the records asynchronously 
    or buffer the input records. For example streaming. 
    In such cases applications should increment this counter on their own.
    </td>
</tr>
<tr>
<td><a name="mapred.skip.reduce.auto.incr.proc.count">mapred.skip.reduce.auto.incr.proc.count</a></td><td>true</td><td> The flag which if set to true, 
    SkipBadRecords.COUNTER_REDUCE_PROCESSED_GROUPS is incremented 
    by framework after invoking the reduce function. This value must be set to 
    false for applications which process the records asynchronously 
    or buffer the input records. For example streaming. 
    In such cases applications should increment this counter on their own.
    </td>
</tr>
<tr>
<td><a name="mapred.skip.out.dir">mapred.skip.out.dir</a></td><td></td><td> 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". 
    </td>
</tr>
<tr>
<td><a name="mapred.skip.map.max.skip.records">mapred.skip.map.max.skip.records</a></td><td>0</td><td> 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 
    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 
    acceptable.
    </td>
</tr>
<tr>
<td><a name="mapred.skip.reduce.max.skip.groups">mapred.skip.reduce.max.skip.groups</a></td><td>0</td><td> 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 
    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 
    acceptable.
    </td>
</tr>
<tr>
<td><a name="ipc.client.idlethreshold">ipc.client.idlethreshold</a></td><td>4000</td><td>Defines the threshold number of connections after which
               connections will be inspected for idleness.
  </td>
</tr>
<tr>
<td><a name="ipc.client.kill.max">ipc.client.kill.max</a></td><td>10</td><td>Defines the maximum number of clients to disconnect in one go.
  </td>
</tr>
<tr>
<td><a name="ipc.client.connection.maxidletime">ipc.client.connection.maxidletime</a></td><td>10000</td><td>The maximum time in msec after which a client will bring down the
               connection to the server.
  </td>
</tr>
<tr>
<td><a name="ipc.client.connect.max.retries">ipc.client.connect.max.retries</a></td><td>10</td><td>Indicates the number of retries a client will make to establish
               a server connection.
  </td>
</tr>
<tr>
<td><a name="ipc.server.listen.queue.size">ipc.server.listen.queue.size</a></td><td>128</td><td>Indicates the length of the listen queue for servers accepting
               client connections.
  </td>
</tr>
<tr>
<td><a name="ipc.server.tcpnodelay">ipc.server.tcpnodelay</a></td><td>false</td><td>Turn on/off Nagle's algorithm for the TCP socket connection on 
  the server. Setting to true disables the algorithm and may decrease latency
  with a cost of more/smaller packets. 
  </td>
</tr>
<tr>
<td><a name="ipc.client.tcpnodelay">ipc.client.tcpnodelay</a></td><td>false</td><td>Turn on/off Nagle's algorithm for the TCP socket connection on 
  the client. Setting to true disables the algorithm and may decrease latency
  with a cost of more/smaller packets. 
  </td>
</tr>
<tr>
<td><a name="job.end.retry.attempts">job.end.retry.attempts</a></td><td>0</td><td>Indicates how many times hadoop should attempt to contact the
               notification URL </td>
</tr>
<tr>
<td><a name="job.end.retry.interval">job.end.retry.interval</a></td><td>30000</td><td>Indicates time in milliseconds between notification URL retry
                calls</td>
</tr>
<tr>
<td><a name="webinterface.private.actions">webinterface.private.actions</a></td><td>false</td><td> If set to true, the web interfaces of JT and NN may contain 
                actions, such as kill job, delete file, etc., that should 
                not be exposed to public. Enable this option if the interfaces 
                are only reachable by those who have the right authorization.
  </td>
</tr>
<tr>
<td><a name="hadoop.rpc.socket.factory.class.default">hadoop.rpc.socket.factory.class.default</a></td><td>org.apache.hadoop.net.StandardSocketFactory</td><td> Default SocketFactory to use. This parameter is expected to be
    formatted as "package.FactoryClassName".
  </td>
</tr>
<tr>
<td><a name="hadoop.rpc.socket.factory.class.ClientProtocol">hadoop.rpc.socket.factory.class.ClientProtocol</a></td><td></td><td> SocketFactory to use to connect to a DFS. If null or empty, use
    hadoop.rpc.socket.class.default. This socket factory is also used by
    DFSClient to create sockets to DataNodes.
  </td>
</tr>
<tr>
<td><a name="hadoop.rpc.socket.factory.class.JobSubmissionProtocol">hadoop.rpc.socket.factory.class.JobSubmissionProtocol</a></td><td></td><td> SocketFactory to use to connect to a Map/Reduce master
    (JobTracker). If null or empty, then use hadoop.rpc.socket.class.default.
  </td>
</tr>
<tr>
<td><a name="hadoop.socks.server">hadoop.socks.server</a></td><td></td><td> Address (host:port) of the SOCKS server to be used by the
    SocksSocketFactory.
  </td>
</tr>
<tr>
<td><a name="topology.node.switch.mapping.impl">topology.node.switch.mapping.impl</a></td><td>org.apache.hadoop.net.ScriptBasedMapping</td><td> The default implementation of the DNSToSwitchMapping. It
    invokes a script specified in topology.script.file.name to resolve
    node names. If the value for topology.script.file.name is not set, the
    default value of DEFAULT_RACK is returned for all node names.
  </td>
</tr>
<tr>
<td><a name="topology.script.file.name">topology.script.file.name</a></td><td></td><td> The script name that should be invoked to resolve DNS names to
    NetworkTopology names. Example: the script would take host.foo.bar as an
    argument, and return /rack1 as the output.
  </td>
</tr>
<tr>
<td><a name="topology.script.number.args">topology.script.number.args</a></td><td>100</td><td> The max number of args that the script configured with 
    topology.script.file.name should be run with. Each arg is an
    IP address.
  </td>
</tr>
<tr>
<td><a name="mapred.task.cache.levels">mapred.task.cache.levels</a></td><td>2</td><td> 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.
  </td>
</tr>
<tr>
<td><a name="mapred.queue.names">mapred.queue.names</a></td><td>default</td><td> Comma separated list of queues configured for this jobtracker.
    Jobs are added to queues and schedulers can configure different 
    scheduling properties for the various queues. To configure a property 
    for a queue, the name of the queue must match the name specified in this 
    value. Queue properties that are common to all schedulers are configured 
    here with the naming convention, mapred.queue.$QUEUE-NAME.$PROPERTY-NAME,
    for e.g. mapred.queue.default.submit-job-acl.
    The number of queues configured in this parameter could depend on the
    type of scheduler being used, as specified in 
    mapred.jobtracker.taskScheduler. For example, the JobQueueTaskScheduler
    supports only a single queue, which is the default configured here.
    Before adding more queues, ensure that the scheduler you've configured
    supports multiple queues.
  </td>
</tr>
<tr>
<td><a name="mapred.acls.enabled">mapred.acls.enabled</a></td><td>false</td><td> Specifies whether ACLs are enabled, and should be checked
    for various operations.
  </td>
</tr>
<tr>
<td><a name="mapred.queue.default.acl-submit-job">mapred.queue.default.acl-submit-job</a></td><td>*</td><td> Comma separated list of user and group names that are allowed
    to submit jobs to the 'default' queue. The user list and the group list
    are separated by a blank. For e.g. alice,bob group1,group2. 
    If set to the special value '*', it means all users are allowed to 
    submit jobs. 
  </td>
</tr>
<tr>
<td><a name="mapred.queue.default.acl-administer-jobs">mapred.queue.default.acl-administer-jobs</a></td><td>*</td><td> Comma separated list of user and group names that are allowed
    to delete jobs or modify job's priority for jobs not owned by the current
    user in the 'default' queue. The user list and the group list
    are separated by a blank. For e.g. alice,bob group1,group2. 
    If set to the special value '*', it means all users are allowed to do 
    this operation.
  </td>
</tr>
<tr>
<td><a name="mapred.job.queue.name">mapred.job.queue.name</a></td><td>default</td><td> Queue to which a job is submitted. This must match one of the
    queues defined in mapred.queue.names 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 
    the queue, and access is allowed for submitting jobs to the queue.
  </td>
</tr>
<tr>
<td><a name="mapred.tasktracker.indexcache.mb">mapred.tasktracker.indexcache.mb</a></td><td>10</td><td> The maximum memory that a task tracker allows for the 
    index cache that is used when serving map outputs to reducers.
  </td>
</tr>
<tr>
<td><a name="mapred.merge.recordsBeforeProgress">mapred.merge.recordsBeforeProgress</a></td><td>10000</td><td> The number of records to process during merge before
   sending a progress notification to the TaskTracker.
  </td>
</tr>
</table>
</body>
</html>