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hadoop 小弟我的配置

2012-10-13 
hadoop我的配置slave?192.168.1.101192.168.1.102192.168.1.103192.168.1.104?master192.168.1.3??core-si

hadoop 我的配置

slave?

192.168.1.101

192.168.1.102

192.168.1.103

192.168.1.104

?

master

192.168.1.3

?

?

core-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

?

<!-- Do not modify this file directly. ?Instead, copy entries that you -->

<!-- wish to modify from this file into core-site.xml and change them -->

<!-- there. ?If core-site.xml does not already exist, create it. ? ? ?-->

?

<configuration>

?

<!--- global properties -->

?

<property>

? <name>hadoop.tmp.dir</name>

? <value>/tmp/hadoop-${user.name}</value>

? <description>A base for other temporary directories.</description>

</property>

?

<property>

? <name>hadoop.native.lib</name>

? <value>true</value>

? <description>Should native hadoop libraries, if present, be used.</description>

</property>

?

<property>

? <name>hadoop.http.filter.initializers</name>

? <value></value>

? <description>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.</description>

</property>

?

<property>

? <name>hadoop.security.authorization</name>

? <value>false</value>

? <description>Is service-level authorization enabled?</description>

</property>

?

<!--- logging properties -->

?

<property>

? <name>hadoop.logfile.size</name>

? <value>10000000</value>

? <description>The max size of each log file</description>

</property>

?

<property>

? <name>hadoop.logfile.count</name>

? <value>10</value>

? <description>The max number of log files</description>

</property>

?

<!-- i/o properties -->

<property>

? <name>io.file.buffer.size</name>

? <value>4096</value>

? <description>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.</description>

</property>

?

<property>

? <name>io.bytes.per.checksum</name>

? <value>512</value>

? <description>The number of bytes per checksum. ?Must not be larger than

? io.file.buffer.size.</description>

</property>

?

<property>

? <name>io.skip.checksum.errors</name>

? <value>false</value>

? <description>If true, when a checksum error is encountered while

? reading a sequence file, entries are skipped, instead of throwing an

? exception.</description>

</property>

?

<property>

? <name>io.compression.codecs</name>

? <value>org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.BZip2Codec</value>

? <description>A list of the compression codec classes that can be used?

? ? ? ? ? ? ? ?for compression/decompression.</description>

</property>

?

<property>

? <name>io.serializations</name>

? <value>org.apache.hadoop.io.serializer.WritableSerialization</value>

? <description>A list of serialization classes that can be used for

? obtaining serializers and deserializers.</description>

</property>

?

<!-- file system properties -->

?

<property>

? <name>fs.default.name</name>

? <value>hdfs://192.168.1.3:9000</value>

? <description>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.</description>

</property>

?

<property>

? <name>fs.trash.interval</name>

? <value>0</value>

? <description>Number of minutes between trash checkpoints.

? If zero, the trash feature is disabled.

? </description>

</property>

?

<property>

? <name>fs.file.impl</name>

? <value>org.apache.hadoop.fs.LocalFileSystem</value>

? <description>The FileSystem for file: uris.</description>

</property>

?

<property>

? <name>fs.hdfs.impl</name>

? <value>org.apache.hadoop.hdfs.DistributedFileSystem</value>

? <description>The FileSystem for hdfs: uris.</description>

</property>

?

<property>

? <name>fs.s3.impl</name>

? <value>org.apache.hadoop.fs.s3.S3FileSystem</value>

? <description>The FileSystem for s3: uris.</description>

</property>

?

<property>

? <name>fs.s3n.impl</name>

? <value>org.apache.hadoop.fs.s3native.NativeS3FileSystem</value>

? <description>The FileSystem for s3n: (Native S3) uris.</description>

</property>

?

<property>

? <name>fs.kfs.impl</name>

? <value>org.apache.hadoop.fs.kfs.KosmosFileSystem</value>

? <description>The FileSystem for kfs: uris.</description>

</property>

?

<property>

? <name>fs.hftp.impl</name>

? <value>org.apache.hadoop.hdfs.HftpFileSystem</value>

</property>

?

<property>

? <name>fs.hsftp.impl</name>

? <value>org.apache.hadoop.hdfs.HsftpFileSystem</value>

</property>

?

<property>

? <name>fs.ftp.impl</name>

? <value>org.apache.hadoop.fs.ftp.FTPFileSystem</value>

? <description>The FileSystem for ftp: uris.</description>

</property>

?

<property>

? <name>fs.ramfs.impl</name>

? <value>org.apache.hadoop.fs.InMemoryFileSystem</value>

? <description>The FileSystem for ramfs: uris.</description>

</property>

?

<property>

? <name>fs.har.impl</name>

? <value>org.apache.hadoop.fs.HarFileSystem</value>

? <description>The filesystem for Hadoop archives. </description>

</property>

?

<property>

? <name>fs.har.impl.disable.cache</name>

? <value>true</value>

? <description>Don't cache 'har' filesystem instances.</description>

</property>

?

<property>

? <name>fs.checkpoint.dir</name>

? <value>${hadoop.tmp.dir}/dfs/namesecondary</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>fs.checkpoint.edits.dir</name>

? <value>${fs.checkpoint.dir}</value>

? <description>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

? </description>

</property>

?

<property>

? <name>fs.checkpoint.period</name>

? <value>3600</value>

? <description>The number of seconds between two periodic checkpoints.

? </description>

</property>

?

<property>

? <name>fs.checkpoint.size</name>

? <value>67108864</value>

? <description>The size of the current edit log (in bytes) that triggers

? ? ? ?a periodic checkpoint even if the fs.checkpoint.period hasn't expired.

? </description>

</property>

?

?

?

<property>

? <name>fs.s3.block.size</name>

? <value>67108864</value>

? <description>Block size to use when writing files to S3.</description>

</property>

?

<property>

? <name>fs.s3.buffer.dir</name>

? <value>${hadoop.tmp.dir}/s3</value>

? <description>Determines where on the local filesystem the S3 filesystem

? should store files before sending them to S3

? (or after retrieving them from S3).

? </description>

</property>

?

<property>

? <name>fs.s3.maxRetries</name>

? <value>4</value>

? <description>The maximum number of retries for reading or writing files to S3,?

? before we signal failure to the application.

? </description>

</property>

?

<property>

? <name>fs.s3.sleepTimeSeconds</name>

? <value>10</value>

? <description>The number of seconds to sleep between each S3 retry.

? </description>

</property>

?

?

<property>

? <name>local.cache.size</name>

? <value>10737418240</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>io.seqfile.compress.blocksize</name>

? <value>1000000</value>

? <description>The minimum block size for compression in block compressed?

? ? ? ? ? SequenceFiles.

? </description>

</property>

?

<property>

? <name>io.seqfile.lazydecompress</name>

? <value>true</value>

? <description>Should values of block-compressed SequenceFiles be decompressed

? ? ? ? ? only when necessary.

? </description>

</property>

?

<property>

? <name>io.seqfile.sorter.recordlimit</name>

? <value>1000000</value>

? <description>The limit on number of records to be kept in memory in a spill?

? ? ? ? ? in SequenceFiles.Sorter

? </description>

</property>

?

?<property>

? <name>io.mapfile.bloom.size</name>

? <value>1048576</value>

? <description>The size of BloomFilter-s used in BloomMapFile. Each time this many

? keys is appended the next BloomFilter will be created (inside a DynamicBloomFilter).

? Larger values minimize the number of filters, which slightly increases the performance,

? but may waste too much space if the total number of keys is usually much smaller

? than this number.

? </description>

</property>

?

<property>

? <name>io.mapfile.bloom.error.rate</name>

? <value>0.005</value>

? <description>The rate of false positives in BloomFilter-s used in BloomMapFile.

? As this value decreases, the size of BloomFilter-s increases exponentially. This

? value is the probability of encountering false positives (default is 0.5%).

? </description>

</property>

?

<property>

? <name>hadoop.util.hash.type</name>

? <value>murmur</value>

? <description>The default implementation of Hash. Currently this can take one of the

? two values: 'murmur' to select MurmurHash and 'jenkins' to select JenkinsHash.

? </description>

</property>

?

?

<!-- ipc properties -->

?

<property>

? <name>ipc.client.idlethreshold</name>

? <value>4000</value>

? <description>Defines the threshold number of connections after which

? ? ? ? ? ? ? ?connections will be inspected for idleness.

? </description>

</property>

?

<property>

? <name>ipc.client.kill.max</name>

? <value>10</value>

? <description>Defines the maximum number of clients to disconnect in one go.

? </description>

</property>

?

<property>

? <name>ipc.client.connection.maxidletime</name>

? <value>10000</value>

? <description>The maximum time in msec after which a client will bring down the

? ? ? ? ? ? ? ?connection to the server.

? </description>

</property>

?

<property>

? <name>ipc.client.connect.max.retries</name>

? <value>10</value>

? <description>Indicates the number of retries a client will make to establish

? ? ? ? ? ? ? ?a server connection.

? </description>

</property>

?

<property>

? <name>ipc.server.listen.queue.size</name>

? <value>128</value>

? <description>Indicates the length of the listen queue for servers accepting

? ? ? ? ? ? ? ?client connections.

? </description>

</property>

?

<property>

? <name>ipc.server.tcpnodelay</name>

? <value>false</value>

? <description>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.?

? </description>

</property>

?

<property>

? <name>ipc.client.tcpnodelay</name>

? <value>false</value>

? <description>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.?

? </description>

</property>

?

?

<!-- Web Interface Configuration -->

?

<property>

? <name>webinterface.private.actions</name>

? <value>false</value>

? <description> 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.

? </description>

</property>

?

<!-- Proxy Configuration -->

?

<property>

? <name>hadoop.rpc.socket.factory.class.default</name>

? <value>org.apache.hadoop.net.StandardSocketFactory</value>

? <description> Default SocketFactory to use. This parameter is expected to be

? ? formatted as "package.FactoryClassName".

? </description>

</property>

?

<property>

? <name>hadoop.rpc.socket.factory.class.ClientProtocol</name>

? <value></value>

? <description> 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.

? </description>

</property>

?

?

?

<property>

? <name>hadoop.socks.server</name>

? <value></value>

? <description> Address (host:port) of the SOCKS server to be used by the

? ? SocksSocketFactory.

? </description>

</property>

?

<!-- Rack Configuration -->

?

<property>

? <name>topology.node.switch.mapping.impl</name>

? <value>org.apache.hadoop.net.ScriptBasedMapping</value>

? <description> 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.

? </description>

</property>

?

<property>

? <name>topology.script.file.name</name>

? <value></value>

? <description> 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.

? </description>

</property>

?

<property>

? <name>topology.script.number.args</name>

? <value>100</value>

? <description> The max number of args that the script configured with?

? ? topology.script.file.name should be run with. Each arg is an

? ? IP address.

? </description>

</property>

?

?

?

</configuration>

?

?

?

?

?

?

?

?

?

?

hdfs-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

?

<!-- Do not modify this file directly. ?Instead, copy entries that you -->

<!-- wish to modify from this file into hdfs-site.xml and change them -->

<!-- there. ?If hdfs-site.xml does not already exist, create it. ? ? ?-->

?

<configuration>

?

<property>

? <name>dfs.namenode.logging.level</name>

? <value>info</value>

? <description>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".</description>

</property>

?

<property>

? <name>dfs.secondary.http.address</name>

? <value>0.0.0.0:50090</value>

? <description>

? ? The secondary namenode http server address and port.

? ? If the port is 0 then the server will start on a free port.

? </description>

</property>

?

<property>

? <name>dfs.datanode.address</name>

? <value>0.0.0.0:50010</value>

? <description>

? ? The address where the datanode server will listen to.

? ? If the port is 0 then the server will start on a free port.

? </description>

</property>

?

<property>

? <name>dfs.datanode.http.address</name>

? <value>0.0.0.0:50075</value>

? <description>

? ? The datanode http server address and port.

? ? If the port is 0 then the server will start on a free port.

? </description>

</property>

?

<property>

? <name>dfs.datanode.ipc.address</name>

? <value>0.0.0.0:50020</value>

? <description>

? ? The datanode ipc server address and port.

? ? If the port is 0 then the server will start on a free port.

? </description>

</property>

?

<property>

? <name>dfs.datanode.handler.count</name>

? <value>3</value>

? <description>The number of server threads for the datanode.</description>

</property>

?

<property>

? <name>dfs.http.address</name>

? <value>0.0.0.0:50070</value>

? <description>

? ? 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.

? </description>

</property>

?

<property>

? <name>dfs.https.enable</name>

? <value>false</value>

? <description>Decide if HTTPS(SSL) is supported on HDFS

? </description>

</property>

?

<property>

? <name>dfs.https.need.client.auth</name>

? <value>false</value>

? <description>Whether SSL client certificate authentication is required

? </description>

</property>

?

<property>

? <name>dfs.https.server.keystore.resource</name>

? <value>ssl-server.xml</value>

? <description>Resource file from which ssl server keystore

? information will be extracted

? </description>

</property>

?

<property>

? <name>dfs.https.client.keystore.resource</name>

? <value>ssl-client.xml</value>

? <description>Resource file from which ssl client keystore

? information will be extracted

? </description>

</property>

?

<property>

? <name>dfs.datanode.https.address</name>

? <value>0.0.0.0:50475</value>

</property>

?

<property>

? <name>dfs.https.address</name>

? <value>0.0.0.0:50470</value>

</property>

?

?<property>

? <name>dfs.datanode.dns.interface</name>

? <value>default</value>

? <description>The name of the Network Interface from which a data node should?

? report its IP address.

? </description>

?</property>

?

<property>

? <name>dfs.datanode.dns.nameserver</name>

? <value>default</value>

? <description>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.

? </description>

?</property>

?

?

?

<property>

? <name>dfs.replication.considerLoad</name>

? <value>true</value>

? <description>Decide if chooseTarget considers the target's load or not

? </description>

</property>

<property>

? <name>dfs.default.chunk.view.size</name>

? <value>32768</value>

? <description>The number of bytes to view for a file on the browser.

? </description>

</property>

?

<property>

? <name>dfs.datanode.du.reserved</name>

? <value>0</value>

? <description>Reserved space in bytes per volume. Always leave this much space free for non dfs use.

? </description>

</property>

?

<property>

? <name>dfs.name.dir</name>

? <value>/home/hadoop/data/dfs.name.dir</value>

? <description>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. </description>

</property>

?

<property>

? <name>dfs.name.edits.dir</name>

? <value>${dfs.name.dir}</value>

? <description>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

? </description>

</property>

<property>

? <name>dfs.web.ugi</name>

? <value>webuser,webgroup</value>

? <description>The user account used by the web interface.

? ? Syntax: USERNAME,GROUP1,GROUP2, ...

? </description>

</property>

?

<property>

? <name>dfs.permissions</name>

? <value>false</value>

? <description>

? ? 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.

? </description>

</property>

?

<property>

? <name>dfs.permissions.supergroup</name>

? <value>supergroup</value>

? <description>The name of the group of super-users.</description>

</property>

?

<property>

? <name>dfs.data.dir</name>

? <value>/home/hadoop/data/dfs.data.dir</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>dfs.replication</name>

? <value>3</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>dfs.replication.max</name>

? <value>512</value>

? <description>Maximal block replication.?

? </description>

</property>

?

<property>

? <name>dfs.replication.min</name>

? <value>1</value>

? <description>Minimal block replication.?

? </description>

</property>

?

<property>

? <name>dfs.block.size</name>

? <value>67108864</value>

? <description>The default block size for new files.</description>

</property>

?

<property>

? <name>dfs.df.interval</name>

? <value>60000</value>

? <description>Disk usage statistics refresh interval in msec.</description>

</property>

?

<property>

? <name>dfs.client.block.write.retries</name>

? <value>3</value>

? <description>The number of retries for writing blocks to the data nodes,?

? before we signal failure to the application.

? </description>

</property>

?

<property>

? <name>dfs.blockreport.intervalMsec</name>

? <value>3600000</value>

? <description>Determines block reporting interval in milliseconds.</description>

</property>

?

<property>

? <name>dfs.blockreport.initialDelay</name> ?<value>0</value>

? <description>Delay for first block report in seconds.</description>

</property>

?

<property>

? <name>dfs.heartbeat.interval</name>

? <value>3</value>

? <description>Determines datanode heartbeat interval in seconds.</description>

</property>

?

<property>

? <name>dfs.namenode.handler.count</name>

? <value>10</value>

? <description>The number of server threads for the namenode.</description>

</property>

?

<property>

? <name>dfs.safemode.threshold.pct</name>

? <value>0.999f</value>

? <description>

? ? 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.

? </description>

</property>

?

<property>

? <name>dfs.safemode.extension</name>

? <value>30000</value>

? <description>

? ? Determines extension of safe mode in milliseconds?

? ? after the threshold level is reached.

? </description>

</property>

?

<property>

? <name>dfs.balance.bandwidthPerSec</name>

? <value>1048576</value>

? <description>

? ? ? ? Specifies the maximum amount of bandwidth that each datanode

? ? ? ? can utilize for the balancing purpose in term of

? ? ? ? the number of bytes per second.

? </description>

</property>

?

<property>

? <name>dfs.hosts</name>

? <value></value>

? <description>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.</description>

</property>

?

<property>

? <name>dfs.hosts.exclude</name>

? <value></value>

? <description>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.</description>

</property>?

?

<property>

? <name>dfs.max.objects</name>

? <value>0</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>dfs.namenode.decommission.interval</name>

? <value>30</value>

? <description>Namenode periodicity in seconds to check if decommission is?

? complete.</description>

</property>

?

<property>

? <name>dfs.namenode.decommission.nodes.per.interval</name>

? <value>5</value>

? <description>The number of nodes namenode checks if decommission is complete

? in each dfs.namenode.decommission.interval.</description>

</property>

?

<property>

? <name>dfs.replication.interval</name>

? <value>3</value>

? <description>The periodicity in seconds with which the namenode computes?

? repliaction work for datanodes. </description>

</property>

?

<property>

? <name>dfs.access.time.precision</name>

? <value>3600000</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>dfs.support.append</name>

? <value>false</value>

? <description>Does HDFS allow appends to files?

? ? ? ? ? ? ? ?This is currently set to false because there are bugs in the

? ? ? ? ? ? ? ?"append code" and is not supported in any prodction cluster.

? </description>

</property>

?

</configuration>

?

?

?

?

?

?

mapred-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

?

<!-- Do not modify this file directly. ?Instead, copy entries that you -->

<!-- wish to modify from this file into mapred-site.xml and change them -->

<!-- there. ?If mapred-site.xml does not already exist, create it. ? ? ?-->

?

<configuration>

?

<property>

? <name>hadoop.job.history.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>hadoop.job.history.user.location</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>

?

<!-- i/o properties -->

?

<property>

? <name>io.sort.factor</name>

? <value>10</value>

? <description>The number of streams to merge at once while sorting

? files. ?This determines the number of open file handles.</description>

</property>

?

<property>

? <name>io.sort.mb</name>

? <value>100</value>

? <description>The total amount of buffer memory to use while sorting?

? files, in megabytes. ?By default, gives each merge stream 1MB, which

? should minimize seeks.</description>

</property>

?

<property>

? <name>io.sort.record.percent</name>

? <value>0.05</value>

? <description>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</description>

</property>

?

<property>

? <name>io.sort.spill.percent</name>

? <value>0.80</value>

? <description>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.</description>

</property>

?

<property>

? <name>io.map.index.skip</name>

? <value>0</value>

? <description>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.</description>

</property>

?

<property>

? <name>mapred.job.tracker</name>

? <value>192.168.1.3:9001</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>

? <name>mapred.job.tracker.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>mapred.job.tracker.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>mapred.task.tracker.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>mapred.local.dir</name>

? <value>/home/hadoop/mapred/mapred.local.dir</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>mapred.system.dir</name>

? <value>/home/hadoop/mapred/system</value>

? <description>The shared directory where MapReduce stores control files.

? </description>

</property>

?

<property>

? <name>mapred.temp.dir</name>

? <value>${hadoop.tmp.dir}/mapred/temp</value>

? <description>A shared directory for temporary files.

? </description>

</property>

?

<property>

? <name>mapred.local.dir.minspacestart</name>

? <value>0</value>

? <description>If the space in mapred.local.dir drops under this,?

? do not ask for more tasks.

? Value in bytes.

? </description>

</property>

?

<property>

? <name>mapred.local.dir.minspacekill</name>

? <value>0</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>mapred.tasktracker.expiry.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>mapred.tasktracker.instrumentation</name>

? <value>org.apache.hadoop.mapred.TaskTrackerMetricsInst</value>

? <description>Expert: The instrumentation class to associate with each TaskTracker.

? </description>

</property>

?

<property>

? <name>mapred.tasktracker.memory_calculator_plugin</name>

? <value></value>

? <description>

? ?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.

? </description>

</property>

?

<property>

? <name>mapred.tasktracker.taskmemorymanager.monitoring-interval</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>mapred.tasktracker.procfsbasedprocesstree.sleeptime-before-sigkill</name>

? <value>5000</value>

? <description>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.</description>

</property>

?

<property>

? <name>mapred.map.tasks</name>

? <value>2</value>

? <description>The default number of map tasks per job.

? Ignored when mapred.job.tracker is "local". ?

? </description>

</property>

?

<property>

? <name>mapred.reduce.tasks</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?

? still be executed in a single wave.

? Ignored when mapred.job.tracker is "local".

? </description>

</property>

?

<property>

? <name>mapred.jobtracker.restart.recover</name>

? <value>false</value>

? <description>"true" to enable (job) recovery upon restart,

? ? ? ? ? ? ? ?"false" to start afresh

? </description>

</property>

?

<property>

? <name>mapred.jobtracker.job.history.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>mapred.jobtracker.taskScheduler</name>

? <value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>

? <description>The class responsible for scheduling the tasks.</description>

</property>

?

<property>

? <name>mapred.jobtracker.taskScheduler.maxRunningTasksPerJob</name>

? <value></value>

? <description>The maximum number of running tasks for a job before

? it gets preempted. No limits if undefined.

? </description>

</property>

?

<property>

? <name>mapred.map.max.attempts</name>

? <value>4</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>mapred.reduce.max.attempts</name>

? <value>4</value>

? <description>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.

? </description>

</property>

?

<property>

? <name>mapred.reduce.parallel.copies</name>

? <value>5</value>

? <description>The default number of parallel transfers run by reduce

? during the copy(shuffle) phase.

? </description>

</property>

?

<property>

? <name>mapred.reduce.copy.backoff</name>

? <value>300</value>

? <description>The maximum amount of time (in seconds) a reducer spends on?

? fetching one map output before declaring it as failed.

? </description>

</property>

?

<property>

? <name>mapred.task.timeout</name>

? <value>600000</value>

? <description>The number of milliseconds before a task will be

? terminated if it neither reads an input, writes an output, nor

? updates its status string.

? </description>

</property>

?

<property>

? <name>mapred.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>mapred.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>

? <name>mapred.jobtracker.completeuserjobs.maximum</name>

? <value>100</value>

? <description>The maximum number of complete jobs per user to keep around?

? before delegating them to the job history.</description>

</property>

?

<property>

? <name>mapred.jobtracker.instrumentation</name>

? <value>org.apache.hadoop.mapred.JobTrackerMetricsInst</value>

? <description>Expert: The instrumentation class to associate with each JobTracker.

? </description>

</property>

?

<property>

? <name>mapred.child.java.opts</name>

? <value>-Xmx200m</value>

? <description>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.?

? </description>

</property>

?

<property>

? <name>mapred.child.ulimit</name>

? <value></value>

? <description>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.?

? </description>

</property>

?

<property>

? <name>mapred.child.tmp</name>

? <value>./tmp</value>

? <description> 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'

? </description>

</property>

?

<property>

? <name>mapred.inmem.merge.threshold</name>

? <value>1000</value>

? <description>The threshold, in terms of the number of files?

? for the in-memory merge process. When we accumulate threshold number of files

? we initiate the in-memory merge and spill to disk. A value of 0 or less than

? 0 indicates we want to DON'T have any threshold and instead depend only on

? the ramfs's memory consumption to trigger the merge.

? </description>

</property>

?

<property>

? <name>mapred.job.shuffle.merge.percent</name>

? <value>0.66</value>

? <description>The usage threshold at which an in-memory merge will be

? initiated, expressed as a percentage of the total memory allocated to

? storing in-memory map outputs, as defined by

? mapred.job.shuffle.input.buffer.percent.

? </description>

</property>

?

<property>

? <name>mapred.job.shuffle.input.buffer.percent</name>

? <value>0.70</value>

? <description>The percentage of memory to be allocated from the maximum heap

? size to storing map outputs during the shuffle.

? </description>

</property>

?

<property>

? <name>mapred.job.reduce.input.buffer.percent</name>

? <value>0.0</value>

? <description>The percentage of memory- relative to the maximum heap size- to

? retain map outputs during the reduce. When the shuffle is concluded, any

? remaining map outputs in memory must consume less than this threshold before

? the reduce can begin.

? </description>

</property>

?

<property>

? <name>mapred.map.tasks.speculative.execution</name>

? <value>true</value>

? <description>If true, then multiple instances of some map tasks?

? ? ? ? ? ? ? ?may be executed in parallel.</description>

</property>

?

<property>

? <name>mapred.reduce.tasks.speculative.execution</name>

? <value>true</value>

? <description>If true, then multiple instances of some reduce tasks?

? ? ? ? ? ? ? ?may be executed in parallel.</description>

</property>

?

<property>

? <name>mapred.job.reuse.jvm.num.tasks</name>

? <value>1</value>

? <description>How many tasks to run per jvm. If set to -1, there is

? no limit.?

? </description>

</property>

?

<property>

? <name>mapred.min.split.size</name>

? <value>0</value>

? <description>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.</description>

</property>

?

<property>

? <name>mapred.jobtracker.maxtasks.per.job</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>

? <name>mapred.submit.replication</name>

? <value>10</value>

? <description>The replication level for submitted job files. ?This

? should be around the square root of the number of nodes.

? </description>

</property>

?

?

<property>

? <name>mapred.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>mapred.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>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>mapred.task.tracker.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>

? <name>keep.failed.task.files</name>

? <value>false</value>

? <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>keep.task.files.pattern</name>

? <value>.*_m_123456_0</value>

? <description>Keep all files from tasks whose task names match the given

? ? ? ? ? ? ? ?regular expression. Defaults to none.</description>

? </property>

-->

?

<property>

? <name>mapred.output.compress</name>

? <value>false</value>

? <description>Should the job outputs be compressed?

? </description>

</property>

?

<property>

? <name>mapred.output.compression.type</name>

? <value>RECORD</value>

? <description>If the job outputs are to compressed as SequenceFiles, how should

? ? ? ? ? ? ? ?they be compressed? Should be one of NONE, RECORD or BLOCK.

? </description>

</property>

?

<property>

? <name>mapred.output.compression.codec</name>

? <value>org.apache.hadoop.io.compress.DefaultCodec</value>

? <description>If the job outputs are compressed, how should they be compressed?

? </description>

</property>

?

<property>

? <name>mapred.compress.map.output</name>

? <value>false</value>

? <description>Should the outputs of the maps be compressed before being

? ? ? ? ? ? ? ?sent across the network. Uses SequenceFile compression.

? </description>

</property>

?

<property>

? <name>mapred.map.output.compression.codec</name>

? <value>org.apache.hadoop.io.compress.DefaultCodec</value>

? <description>If the map outputs are compressed, how should they be?

? ? ? ? ? ? ? ?compressed?

? </description>

</property>

?

<property>

? <name>map.sort.class</name>

? <value>org.apache.hadoop.util.QuickSort</value>

? <description>The default sort class for sorting keys.

? </description>

</property>

?

<property>

? <name>mapred.userlog.limit.kb</name>

? <value>0</value>

? <description>The maximum size of user-logs of each task in KB. 0 disables the cap.

? </description>

</property>

?

<property>

? <name>mapred.userlog.retain.hours</name>

? <value>24</value>

? <description>The maximum time, in hours, for which the user-logs are to be?

? ? ? ? ? retained.

? </description>

</property>

?

<property>

? <name>mapred.hosts</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>mapred.hosts.exclude</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>mapred.max.tracker.blacklists</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>

? <name>mapred.max.tracker.failures</name>

? <value>4</value>

? <description>The number of task-failures on a tasktracker of a given job?

? ? ? ? ? ? ? ?after which new tasks of that job aren't assigned to it.

? </description>

</property>

?

<property>

? <name>jobclient.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?

? ? ? ? ? ? ? ?ALL.

? </description>

</property>

?

? <property>

? ? <name>mapred.job.tracker.persist.jobstatus.active</name>

? ? <value>false</value>

? ? <description>Indicates if persistency of job status information is

? ? ? active or not.

? ? </description>

? </property>

?

? <property>

? <name>mapred.job.tracker.persist.jobstatus.hours</name>

? <value>0</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>mapred.job.tracker.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>

? ? <name>mapred.task.profile</name>

? ? <value>false</value>

? ? <description>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.</description>

? </property>

?

? <property>

? ? <name>mapred.task.profile.maps</name>

? ? <value>0-2</value>

? ? <description> To set the ranges of map tasks to profile.

? ? mapred.task.profile has to be set to true for the value to be accounted.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.task.profile.reduces</name>

? ? <value>0-2</value>

? ? <description> To set the ranges of reduce tasks to profile.

? ? mapred.task.profile has to be set to true for the value to be accounted.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.line.input.format.linespermap</name>

? ? <value>1</value>

? ? <description> Number of lines per split in NLineInputFormat.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.attempts.to.start.skipping</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?

? ? next, to the TaskTracker. So that on failures, TT knows which?

? ? ones are possibly the bad records. On further executions,?

? ? those are skipped.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.map.auto.incr.proc.count</name>

? ? <value>true</value>

? ? <description> 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.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.reduce.auto.incr.proc.count</name>

? ? <value>true</value>

? ? <description> 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.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.out.dir</name>

? ? <value></value>

? ? <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".?

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.map.max.skip.records</name>

? ? <value>0</value>

? ? <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?

? ? 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.

? ? </description>

? </property>

?

? <property>

? ? <name>mapred.skip.reduce.max.skip.groups</name>

? ? <value>0</value>

? ? <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?

? ? 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.

? ? </description>

? </property>

?

<!-- Job Notification Configuration -->

?

<!--

<property>

?<name>job.end.notification.url</name>

?<value>http://localhost:8080/jobstatus.php?jobId=$jobId&amp;jobStatus=$jobStatus</value>

?<description>Indicates url which will be called on completion of job to inform

? ? ? ? ? ? ? end status of job.

? ? ? ? ? ? ? User can give at most 2 variables with URI : $jobId and $jobStatus.

? ? ? ? ? ? ? If they are present in URI, then they will be replaced by their

? ? ? ? ? ? ? respective values.

</description>

</property>

-->

?

<property>

? <name>job.end.retry.attempts</name>

? <value>0</value>

? <description>Indicates how many times hadoop should attempt to contact the

? ? ? ? ? ? ? ?notification URL </description>

</property>

?

<property>

? <name>job.end.retry.interval</name>

? ?<value>30000</value>

? ?<description>Indicates time in milliseconds between notification URL retry

? ? ? ? ? ? ? ? calls</description>

</property>

?

<!-- Proxy Configuration -->

<property>

? <name>hadoop.rpc.socket.factory.class.JobSubmissionProtocol</name>

? <value></value>

? <description> SocketFactory to use to connect to a Map/Reduce master

? ? (JobTracker). If null or empty, then use hadoop.rpc.socket.class.default.

? </description>

</property>

?

<property>

? <name>mapred.task.cache.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>

? <name>mapred.queue.names</name>

? <value>default</value>

? <description> 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.

? </description>

</property>

?

<property>

? <name>mapred.acls.enabled</name>

? <value>false</value>

? <description> Specifies whether ACLs are enabled, and should be checked

? ? for various operations.

? </description>

</property>

?

<property>

? <name>mapred.queue.default.acl-submit-job</name>

? <value>*</value>

? <description> 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.?

? </description>

</property>

?

<property>

? <name>mapred.queue.default.acl-administer-jobs</name>

? <value>*</value>

? <description> 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.

? </description>

</property>

?

<property>

? <name>mapred.job.queue.name</name>

? <value>default</value>

? <description> 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.

? </description>

</property>

?

<property>

? <name>mapred.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>

? <name>mapred.merge.recordsBeforeProgress</name>

? <value>10000</value>

? <description> The number of records to process during merge before

? ?sending a progress notification to the TaskTracker.

? </description>

</property>

?

<property>

? <name>mapred.reduce.slowstart.completed.maps</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>

</property>

?

</configuration>

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