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1<html>
2<body>
3<table border="1">
4<tr>
5<td>name</td><td>value</td><td>description</td>
6</tr>
7<tr>
8<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
9  in this single well known place. If No value is set here, by default,
10  it is in the local file system at ${hadoop.log.dir}/history.
11  </td>
12</tr>
13<tr>
14<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
15  a particular job. If nothing is specified, the logs are stored in
16  output directory. The files are stored in "_logs/history/" in the directory.
17  User can stop logging by giving the value "none".
18  </td>
19</tr>
20<tr>
21<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
22  files.  This determines the number of open file handles.</td>
23</tr>
24<tr>
25<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
26  files, in megabytes.  By default, gives each merge stream 1MB, which
27  should minimize seeks.</td>
28</tr>
29<tr>
30<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
31  boundaries. Let this value be r, io.sort.mb be x. The maximum number
32  of records collected before the collection thread must block is equal
33  to (r * x) / 4</td>
34</tr>
35<tr>
36<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
37  buffers. Once reached, a thread will begin to spill the contents to disk
38  in the background. Note that this does not imply any chunking of data to
39  the spill. A value less than 0.5 is not recommended.</td>
40</tr>
41<tr>
42<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.
43  Zero by default. Setting this to values larger than zero can
44  facilitate opening large map files using less memory.</td>
45</tr>
46<tr>
47<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
48  at.  If "local", then jobs are run in-process as a single map
49  and reduce task.
50  </td>
51</tr>
52<tr>
53<td><a name="mapred.job.tracker.http.address">mapred.job.tracker.http.address</a></td><td>0.0.0.0:50030</td><td>
54    The job tracker http server address and port the server will listen on.
55    If the port is 0 then the server will start on a free port.
56  </td>
57</tr>
58<tr>
59<td><a name="mapred.job.tracker.handler.count">mapred.job.tracker.handler.count</a></td><td>10</td><td>
60    The number of server threads for the JobTracker. This should be roughly
61    4% of the number of tasktracker nodes.
62  </td>
63</tr>
64<tr>
65<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.
66  Since it is only connected to by the tasks, it uses the local interface.
67  EXPERT ONLY. Should only be changed if your host does not have the loopback
68  interface.</td>
69</tr>
70<tr>
71<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
72  data files.  May be a comma-separated list of
73  directories on different devices in order to spread disk i/o.
74  Directories that do not exist are ignored.
75  </td>
76</tr>
77<tr>
78<td><a name="mapred.system.dir">mapred.system.dir</a></td><td>${hadoop.tmp.dir}/mapred/system</td><td>The shared directory where MapReduce stores control files.
79  </td>
80</tr>
81<tr>
82<td><a name="mapred.temp.dir">mapred.temp.dir</a></td><td>${hadoop.tmp.dir}/mapred/temp</td><td>A shared directory for temporary files.
83  </td>
84</tr>
85<tr>
86<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,
87  do not ask for more tasks.
88  Value in bytes.
89  </td>
90</tr>
91<tr>
92<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,
93    do not ask more tasks until all the current ones have finished and
94    cleaned up. Also, to save the rest of the tasks we have running,
95    kill one of them, to clean up some space. Start with the reduce tasks,
96    then go with the ones that have finished the least.
97    Value in bytes.
98  </td>
99</tr>
100<tr>
101<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
102  a tasktracker is declared 'lost' if it doesn't send heartbeats.
103  </td>
104</tr>
105<tr>
106<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.
107  </td>
108</tr>
109<tr>
110<td><a name="mapred.tasktracker.memory_calculator_plugin">mapred.tasktracker.memory_calculator_plugin</a></td><td></td><td>
111   Name of the class whose instance will be used to query memory information
112   on the tasktracker.
113   
114   The class must be an instance of
115   org.apache.hadoop.util.MemoryCalculatorPlugin. If the value is null, the
116   tasktracker attempts to use a class appropriate to the platform.
117   Currently, the only platform supported is Linux.
118  </td>
119</tr>
120<tr>
121<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
122   between two cycles of monitoring its tasks' memory usage. Used only if
123   tasks' memory management is enabled via mapred.tasktracker.tasks.maxmemory.
124   </td>
125</tr>
126<tr>
127<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
128  SIGKILL to a process that has overrun memory limits, after it has been sent
129  a SIGTERM. Used only if tasks' memory management is enabled via
130  mapred.tasktracker.tasks.maxmemory.</td>
131</tr>
132<tr>
133<td><a name="mapred.map.tasks">mapred.map.tasks</a></td><td>2</td><td>The default number of map tasks per job.
134  Ignored when mapred.job.tracker is "local". 
135  </td>
136</tr>
137<tr>
138<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 99%
139  of the cluster's reduce capacity, so that if a node fails the reduces can
140  still be executed in a single wave.
141  Ignored when mapred.job.tracker is "local".
142  </td>
143</tr>
144<tr>
145<td><a name="mapred.jobtracker.restart.recover">mapred.jobtracker.restart.recover</a></td><td>false</td><td>"true" to enable (job) recovery upon restart,
146               "false" to start afresh
147  </td>
148</tr>
149<tr>
150<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
151               uses job history, its important to dump job history to disk as
152               soon as possible. Note that this is an expert level parameter.
153               The default value is set to 3 MB.
154  </td>
155</tr>
156<tr>
157<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>
158</tr>
159<tr>
160<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
161  it gets preempted. No limits if undefined.
162  </td>
163</tr>
164<tr>
165<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.
166  In other words, framework will try to execute a map task these many number
167  of times before giving up on it.
168  </td>
169</tr>
170<tr>
171<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.
172  In other words, framework will try to execute a reduce task these many number
173  of times before giving up on it.
174  </td>
175</tr>
176<tr>
177<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
178  during the copy(shuffle) phase.
179  </td>
180</tr>
181<tr>
182<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
183  fetching one map output before declaring it as failed.
184  </td>
185</tr>
186<tr>
187<td><a name="mapred.task.timeout">mapred.task.timeout</a></td><td>600000</td><td>The number of milliseconds before a task will be
188  terminated if it neither reads an input, writes an output, nor
189  updates its status string.
190  </td>
191</tr>
192<tr>
193<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
194  simultaneously by a task tracker.
195  </td>
196</tr>
197<tr>
198<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
199  simultaneously by a task tracker.
200  </td>
201</tr>
202<tr>
203<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
204  before delegating them to the job history.</td>
205</tr>
206<tr>
207<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.
208  </td>
209</tr>
210<tr>
211<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. 
212  The following symbol, if present, will be interpolated: @taskid@ is replaced
213  by current TaskID. Any other occurrences of '@' will go unchanged.
214  For example, to enable verbose gc logging to a file named for the taskid in
215  /tmp and to set the heap maximum to be a gigabyte, pass a 'value' of:
216        -Xmx1024m -verbose:gc -Xloggc:/tmp/@taskid@.gc
217 
218  The configuration variable mapred.child.ulimit can be used to control the
219  maximum virtual memory of the child processes.
220  </td>
221</tr>
222<tr>
223<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
224  Map-Reduce framework. This can be used to control both the Mapper/Reducer
225  tasks and applications using Hadoop Pipes, Hadoop Streaming etc.
226  By default it is left unspecified to let cluster admins control it via
227  limits.conf and other such relevant mechanisms.
228 
229  Note: mapred.child.ulimit must be greater than or equal to the -Xmx passed to
230  JavaVM, else the VM might not start.
231  </td>
232</tr>
233<tr>
234<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.
235  If the value is an absolute path, it is directly assigned. Otherwise, it is
236  prepended with task's working directory. The java tasks are executed with
237  option -Djava.io.tmpdir='the absolute path of the tmp dir'. Pipes and
238  streaming are set with environment variable,
239   TMPDIR='the absolute path of the tmp dir'
240  </td>
241</tr>
242<tr>
243<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
244  for the in-memory merge process. When we accumulate threshold number of files
245  we initiate the in-memory merge and spill to disk. A value of 0 or less than
246  0 indicates we want to DON'T have any threshold and instead depend only on
247  the ramfs's memory consumption to trigger the merge.
248  </td>
249</tr>
250<tr>
251<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
252  initiated, expressed as a percentage of the total memory allocated to
253  storing in-memory map outputs, as defined by
254  mapred.job.shuffle.input.buffer.percent.
255  </td>
256</tr>
257<tr>
258<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
259  size to storing map outputs during the shuffle.
260  </td>
261</tr>
262<tr>
263<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
264  retain map outputs during the reduce. When the shuffle is concluded, any
265  remaining map outputs in memory must consume less than this threshold before
266  the reduce can begin.
267  </td>
268</tr>
269<tr>
270<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
271               may be executed in parallel.</td>
272</tr>
273<tr>
274<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
275               may be executed in parallel.</td>
276</tr>
277<tr>
278<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
279  no limit.
280  </td>
281</tr>
282<tr>
283<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
284  into.  Note that some file formats may have minimum split sizes that
285  take priority over this setting.</td>
286</tr>
287<tr>
288<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.
289  A value of -1 indicates that there is no maximum.  </td>
290</tr>
291<tr>
292<td><a name="mapred.submit.replication">mapred.submit.replication</a></td><td>10</td><td>The replication level for submitted job files.  This
293  should be around the square root of the number of nodes.
294  </td>
295</tr>
296<tr>
297<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
298  tracker should report its IP address.
299  </td>
300</tr>
301<tr>
302<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)
303  which a TaskTracker should use to determine the host name used by
304  the JobTracker for communication and display purposes.
305  </td>
306</tr>
307<tr>
308<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
309               used for map output fetching
310  </td>
311</tr>
312<tr>
313<td><a name="mapred.task.tracker.http.address">mapred.task.tracker.http.address</a></td><td>0.0.0.0:50060</td><td>
314    The task tracker http server address and port.
315    If the port is 0 then the server will start on a free port.
316  </td>
317</tr>
318<tr>
319<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
320               used on jobs that are failing, because the storage is never
321               reclaimed. It also prevents the map outputs from being erased
322               from the reduce directory as they are consumed.</td>
323</tr>
324<tr>
325<td><a name="mapred.output.compress">mapred.output.compress</a></td><td>false</td><td>Should the job outputs be compressed?
326  </td>
327</tr>
328<tr>
329<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
330               they be compressed? Should be one of NONE, RECORD or BLOCK.
331  </td>
332</tr>
333<tr>
334<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?
335  </td>
336</tr>
337<tr>
338<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
339               sent across the network. Uses SequenceFile compression.
340  </td>
341</tr>
342<tr>
343<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
344               compressed?
345  </td>
346</tr>
347<tr>
348<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.
349  </td>
350</tr>
351<tr>
352<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.
353  </td>
354</tr>
355<tr>
356<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
357          retained.
358  </td>
359</tr>
360<tr>
361<td><a name="mapred.hosts">mapred.hosts</a></td><td></td><td>Names a file that contains the list of nodes that may
362  connect to the jobtracker.  If the value is empty, all hosts are
363  permitted.</td>
364</tr>
365<tr>
366<td><a name="mapred.hosts.exclude">mapred.hosts.exclude</a></td><td></td><td>Names a file that contains the list of hosts that
367  should be excluded by the jobtracker.  If the value is empty, no
368  hosts are excluded.</td>
369</tr>
370<tr>
371<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
372               after which the task tracker could be blacklisted across
373               all jobs. The tracker will be given a tasks later
374               (after a day). The tracker will become a healthy
375               tracker after a restart.
376  </td>
377</tr>
378<tr>
379<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
380               after which new tasks of that job aren't assigned to it.
381  </td>
382</tr>
383<tr>
384<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
385               to the console of the JobClient.
386               The permissible options are: NONE, KILLED, FAILED, SUCCEEDED and
387               ALL.
388  </td>
389</tr>
390<tr>
391<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
392      active or not.
393    </td>
394</tr>
395<tr>
396<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.
397    The job status information will be available after it drops of the memory
398    queue and between jobtracker restarts. With a zero value the job status
399    information is not persisted at all in DFS.
400  </td>
401</tr>
402<tr>
403<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
404      in a file system to be available after it drops of the memory queue and
405      between jobtracker restarts.
406    </td>
407</tr>
408<tr>
409<td><a name="mapred.task.profile">mapred.task.profile</a></td><td>false</td><td>To set whether the system should collect profiler
410     information for some of the tasks in this job? The information is stored
411     in the user log directory. The value is "true" if task profiling
412     is enabled.</td>
413</tr>
414<tr>
415<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.
416    mapred.task.profile has to be set to true for the value to be accounted.
417    </td>
418</tr>
419<tr>
420<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.
421    mapred.task.profile has to be set to true for the value to be accounted.
422    </td>
423</tr>
424<tr>
425<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.
426    </td>
427</tr>
428<tr>
429<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
430    will be kicked off. When skip mode is kicked off, the
431    tasks reports the range of records which it will process
432    next, to the TaskTracker. So that on failures, TT knows which
433    ones are possibly the bad records. On further executions,
434    those are skipped.
435    </td>
436</tr>
437<tr>
438<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,
439    SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS is incremented
440    by MapRunner after invoking the map function. This value must be set to
441    false for applications which process the records asynchronously
442    or buffer the input records. For example streaming.
443    In such cases applications should increment this counter on their own.
444    </td>
445</tr>
446<tr>
447<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,
448    SkipBadRecords.COUNTER_REDUCE_PROCESSED_GROUPS is incremented
449    by framework after invoking the reduce function. This value must be set to
450    false for applications which process the records asynchronously
451    or buffer the input records. For example streaming.
452    In such cases applications should increment this counter on their own.
453    </td>
454</tr>
455<tr>
456<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
457    written to the output directory at _logs/skip.
458    User can stop writing skipped records by giving the value "none".
459    </td>
460</tr>
461<tr>
462<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
463    record PER bad record in mapper. The number includes the bad record as well.
464    To turn the feature of detection/skipping of bad records off, set the
465    value to 0.
466    The framework tries to narrow down the skipped range by retrying 
467    until this threshold is met OR all attempts get exhausted for this task.
468    Set the value to Long.MAX_VALUE to indicate that framework need not try to
469    narrow down. Whatever records(depends on application) get skipped are
470    acceptable.
471    </td>
472</tr>
473<tr>
474<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
475    group PER bad group in reducer. The number includes the bad group as well.
476    To turn the feature of detection/skipping of bad groups off, set the
477    value to 0.
478    The framework tries to narrow down the skipped range by retrying 
479    until this threshold is met OR all attempts get exhausted for this task.
480    Set the value to Long.MAX_VALUE to indicate that framework need not try to
481    narrow down. Whatever groups(depends on application) get skipped are
482    acceptable.
483    </td>
484</tr>
485<tr>
486<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
487               notification URL </td>
488</tr>
489<tr>
490<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
491                calls</td>
492</tr>
493<tr>
494<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
495    (JobTracker). If null or empty, then use hadoop.rpc.socket.class.default.
496  </td>
497</tr>
498<tr>
499<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
500    the level is 2, the tasks cached are at the host level and at the rack
501    level.
502  </td>
503</tr>
504<tr>
505<td><a name="mapred.queue.names">mapred.queue.names</a></td><td>default</td><td> Comma separated list of queues configured for this jobtracker.
506    Jobs are added to queues and schedulers can configure different
507    scheduling properties for the various queues. To configure a property
508    for a queue, the name of the queue must match the name specified in this
509    value. Queue properties that are common to all schedulers are configured
510    here with the naming convention, mapred.queue.$QUEUE-NAME.$PROPERTY-NAME,
511    for e.g. mapred.queue.default.submit-job-acl.
512    The number of queues configured in this parameter could depend on the
513    type of scheduler being used, as specified in
514    mapred.jobtracker.taskScheduler. For example, the JobQueueTaskScheduler
515    supports only a single queue, which is the default configured here.
516    Before adding more queues, ensure that the scheduler you've configured
517    supports multiple queues.
518  </td>
519</tr>
520<tr>
521<td><a name="mapred.acls.enabled">mapred.acls.enabled</a></td><td>false</td><td> Specifies whether ACLs are enabled, and should be checked
522    for various operations.
523  </td>
524</tr>
525<tr>
526<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
527    to submit jobs to the 'default' queue. The user list and the group list
528    are separated by a blank. For e.g. alice,bob group1,group2.
529    If set to the special value '*', it means all users are allowed to
530    submit jobs.
531  </td>
532</tr>
533<tr>
534<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
535    to delete jobs or modify job's priority for jobs not owned by the current
536    user in the 'default' queue. The user list and the group list
537    are separated by a blank. For e.g. alice,bob group1,group2.
538    If set to the special value '*', it means all users are allowed to do
539    this operation.
540  </td>
541</tr>
542<tr>
543<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
544    queues defined in mapred.queue.names for the system. Also, the ACL setup
545    for the queue must allow the current user to submit a job to the queue.
546    Before specifying a queue, ensure that the system is configured with
547    the queue, and access is allowed for submitting jobs to the queue.
548  </td>
549</tr>
550<tr>
551<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
552    index cache that is used when serving map outputs to reducers.
553  </td>
554</tr>
555<tr>
556<td><a name="mapred.merge.recordsBeforeProgress">mapred.merge.recordsBeforeProgress</a></td><td>10000</td><td> The number of records to process during merge before
557   sending a progress notification to the TaskTracker.
558  </td>
559</tr>
560<tr>
561<td><a name="mapred.reduce.slowstart.completed.maps">mapred.reduce.slowstart.completed.maps</a></td><td>0.05</td><td>Fraction of the number of maps in the job which should be
562  complete before reduces are scheduled for the job.
563  </td>
564</tr>
565</table>
566</body>
567</html>
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