~~ Licensed under the Apache License, Version 2.0 (the "License");
~~ you may not use this file except in compliance with the License.
~~ You may obtain a copy of the License at
~~
~~   http://www.apache.org/licenses/LICENSE-2.0
~~
~~ Unless required by applicable law or agreed to in writing, software
~~ distributed under the License is distributed on an "AS IS" BASIS,
~~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
~~ See the License for the specific language governing permissions and
~~ limitations under the License. See accompanying LICENSE file.

  ---
  History Server REST API's.
  ---
  ---
  ${maven.build.timestamp}

History Server REST API's.

  \[ {{{./index.html}Go Back}} \]

%{toc|section=1|fromDepth=0|toDepth=3}

* Overview

  The history server REST API's allow the user to get status on finished applications. Currently it only supports MapReduce and provides information on finished jobs.

* History Server Information API

  The history server information resource provides overall information about the history server. 

** URI

  Both of the following URI's give you the history server information, from an application id identified by the appid value. 

------
  * http://<history server http address:port>/ws/v1/history
  * http://<history server http address:port>/ws/v1/history/info
------

** HTTP Operations Supported

------
  * GET
------

** Query Parameters Supported

------
  None
------

** Elements of the <historyInfo> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| hadoopVersion | string  | Version of hadoop common |
*---------------+--------------+-------------------------------+
| hadoopBuildVersion | string  | Hadoop common build string with build version, user, and checksum |
*---------------+--------------+-------------------------------+
| hadoopVersionBuiltOn | string  | Timestamp when hadoop common was built |
*---------------+--------------+-------------------------------+

** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/info
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{   
   "historyInfo" : {
      "hadoopVersionBuiltOn" : "Wed Jan 11 21:18:36 UTC 2012",
      "hadoopBuildVersion" : "0.23.1-SNAPSHOT from 1230253 by user1 source checksum bb6e554c6d50b0397d826081017437a7",
      "hadoopVersion" : "0.23.1-SNAPSHOT"
   }
}
+---+

  <<XML response>>

  HTTP Request:

-----
  GET http://<history server http address:port>/ws/v1/history/info
  Accept: application/xml
-----

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 330
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<historyInfo>
  <hadoopVersion>0.23.1-SNAPSHOT</hadoopVersion>
  <hadoopBuildVersion>0.23.1-SNAPSHOT from 1230253 by user1 source checksum bb6e554c6d50b0397d826081017437a7</hadoopBuildVersion>
  <hadoopVersionBuiltOn>Wed Jan 11 21:18:36 UTC 2012</hadoopVersionBuiltOn>
</historyInfo>
+---+

* MapReduce API's

  The following list of resources apply to MapReduce.

** Jobs API

  The jobs resource provides a list of the MapReduce jobs that have finished. 

*** URI

------
  *  http://<history server http address:port>/ws/v1/history/mapreduce/jobs
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

  Multiple paramters can be specified.  The started and finished times have a begin and end parameter to allow you to specify ranges.  For example, one could request all jobs that started between 1:00am and 2:00pm on 12/19/2011 with startedTimeBegin=1324256400&startedTimeEnd=1324303200. If the Begin parameter is not specfied, it defaults to 0, and if the End parameter is not specified, it defaults to infinity.

------
  * user - user name
  * queue - queue name
  * limit - total number of app objects to be returned
  * startedTimeBegin - jobs with start time beginning with this time, specified in ms since epoch
  * startedTimeEnd - jobs with start time ending with this time, specified in ms since epoch
  * finishedTimeBegin - jobs with finish time beginning with this time, specified in ms since epoch
  * finishedTimeEnd - jobs with finish time ending with this time, specified in ms since epoch
------

*** Elements of the <jobs> object

  When you make a request for the list of jobs, the information will be returned as an array of job objects.
  See also {{Job API}} for syntax of the job object.

*---------------+--------------+-------------------------------+
|| Item         || Data Type  || Description                   |
*---------------+--------------+-------------------------------+
| job | array of job objects(json)/zero or more job objects(XML) | The collection of job objects |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "jobs" : {
      "job" : [
         {
            "avgReduceTime" : 833,
            "failedReduceAttempts" : 0,
            "state" : "SUCCEEDED",
            "successfulReduceAttempts" : 1,
            "acls" : [
               {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-modify-job"
               },
              {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-view-job"
               }
            ],
            "user" : "user1",
            "reducesTotal" : 1,
            "mapsCompleted" : 1,
            "startTime" : 1326381344489,
            "id" : "job_1326381300833_1_1",
            "avgMapTime" : 2671,
            "successfulMapAttempts" : 1,
            "name" : "word count",
            "avgShuffleTime" : 2540,
            "reducesCompleted" : 1,
            "diagnostics" : "",
            "failedMapAttempts" : 0,
            "avgMergeTime" : 2570,
            "killedReduceAttempts" : 0,
            "mapsTotal" : 1,
            "queue" : "default",
            "uberized" : false,
            "killedMapAttempts" : 0,
            "finishTime" : 1326381356010
         },
         {
            "avgReduceTime" : 124961,
            "failedReduceAttempts" : 0,
            "state" : "SUCCEEDED",
            "successfulReduceAttempts" : 1,
            "acls" : [
               {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-modify-job"
               },
               {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-view-job"
               }
            ],
            "user" : "user1",
            "reducesTotal" : 1,
            "mapsCompleted" : 1,
            "startTime" : 1326381446529,
            "id" : "job_1326381300833_2_2",
            "avgMapTime" : 2638,
            "successfulMapAttempts" : 1,
            "name" : "Sleep job",
            "avgShuffleTime" : 2540,
            "reducesCompleted" : 1,
            "diagnostics" : "",
            "failedMapAttempts" : 0,
            "avgMergeTime" : 2589,
            "killedReduceAttempts" : 0,
            "mapsTotal" : 1,
            "queue" : "default",
            "uberized" : false,
            "killedMapAttempts" : 0,
            "finishTime" : 1326381582106
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 1922
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobs>
  <job>
    <startTime>1326381344489</startTime>
    <finishTime>1326381356010</finishTime>
    <id>job_1326381300833_1_1</id>
    <name>word count</name>
    <queue>default</queue>
    <user>user1</user>
    <state>SUCCEEDED</state>
    <mapsTotal>1</mapsTotal>
    <mapsCompleted>1</mapsCompleted>
    <reducesTotal>1</reducesTotal>
    <reducesCompleted>1</reducesCompleted>
    <uberized>false</uberized>
    <diagnostics/>
    <avgMapTime>2671</avgMapTime>
    <avgReduceTime>833</avgReduceTime>
    <avgShuffleTime>2540</avgShuffleTime>
    <avgMergeTime>2570</avgMergeTime>
    <failedReduceAttempts>0</failedReduceAttempts>
    <killedReduceAttempts>0</killedReduceAttempts>
    <successfulReduceAttempts>1</successfulReduceAttempts>
    <failedMapAttempts>0</failedMapAttempts>
    <killedMapAttempts>0</killedMapAttempts>
    <successfulMapAttempts>1</successfulMapAttempts>
    <acls>
      <name>mapreduce.job.acl-modify-job</name>
      <value> </value>
    </acls>
    <acls>
      <name>mapreduce.job.acl-view-job</name>
      <value> </value>
    </acls>
  </job>
  <job>
    <startTime>1326381446529</startTime>
    <finishTime>1326381582106</finishTime>
    <id>job_1326381300833_2_2</id>
    <name>Sleep job</name>
    <queue>default</queue>
    <user>user1</user>
    <state>SUCCEEDED</state>
    <mapsTotal>1</mapsTotal>
    <mapsCompleted>1</mapsCompleted>
    <reducesTotal>1</reducesTotal>
    <reducesCompleted>1</reducesCompleted>
    <uberized>false</uberized>
    <diagnostics/>
    <avgMapTime>2638</avgMapTime>
    <avgReduceTime>124961</avgReduceTime>
    <avgShuffleTime>2540</avgShuffleTime>
    <avgMergeTime>2589</avgMergeTime>
    <failedReduceAttempts>0</failedReduceAttempts>
    <killedReduceAttempts>0</killedReduceAttempts>
    <successfulReduceAttempts>1</successfulReduceAttempts>
    <failedMapAttempts>0</failedMapAttempts>
    <killedMapAttempts>0</killedMapAttempts>
    <successfulMapAttempts>1</successfulMapAttempts>
    <acls>
      <name>mapreduce.job.acl-modify-job</name>
      <value> </value>
    </acls>
    <acls>
      <name>mapreduce.job.acl-view-job</name>
      <value> </value>
    </acls>
  </job>
</jobs>
+---+

** {Job API}

  A Job resource contains information about a particular job identified by {jobid}. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <job> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| id | string | The job id|
*---------------+--------------+-------------------------------+
| name | string | The job name |
*---------------+--------------+-------------------------------+
| queue | string | The queue the job was submitted to|
*---------------+--------------+-------------------------------+
| user | string | The user name |
*---------------+--------------+-------------------------------+
| state | string | the job state - valid values are:  NEW, INITED, RUNNING, SUCCEEDED, FAILED, KILL_WAIT, KILLED, ERROR|
*---------------+--------------+-------------------------------+
| diagnostics | string | A diagnostic message |
*---------------+--------------+-------------------------------+
| startTime | long | The time the job started (in ms since epoch)|
*---------------+--------------+-------------------------------+
| finishTime | long | The time the job finished (in ms since epoch)|
*---------------+--------------+-------------------------------+
| mapsTotal | int | The total number of maps |
*---------------+--------------+-------------------------------+
| mapsCompleted | int | The number of completed maps |
*---------------+--------------+-------------------------------+
| reducesTotal | int | The total number of reduces |
*---------------+--------------+-------------------------------+
| reducesCompleted | int | The number of completed reduces|
*---------------+--------------+-------------------------------+
| uberized | boolean | Indicates if the job was an uber job - ran completely in the application master|
*---------------+--------------+-------------------------------+
| avgMapTime | long | The average time of a map task (in ms)|
*---------------+--------------+-------------------------------+
| avgReduceTime | long | The average time of the reduce (in ms)|
*---------------+--------------+-------------------------------+
| avgShuffleTime | long | The average time of the shuffle (in ms)|
*---------------+--------------+-------------------------------+
| avgMergeTime | long | The average time of the merge (in ms)|
*---------------+--------------+-------------------------------+
| failedReduceAttempts | int | The number of failed reduce attempts |
*---------------+--------------+-------------------------------+
| killedReduceAttempts | int | The number of killed reduce attempts |
*---------------+--------------+-------------------------------+
| successfulReduceAttempts | int | The number of successful reduce attempts |
*---------------+--------------+-------------------------------+
| failedMapAttempts | int | The number of failed map attempts |
*---------------+--------------+-------------------------------+
| killedMapAttempts | int | The number of killed map attempts |
*---------------+--------------+-------------------------------+
| successfulMapAttempts | int | The number of successful map attempts |
*---------------+--------------+-------------------------------+
| acls | array of acls(json)/zero or more acls objects(xml)| A collection of acls objects |
*---------------+--------------+-------------------------------+

** Elements of the <acls> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| value | string | The acl value|
*---------------+--------------+-------------------------------+
| name | string | The acl name |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Server: Jetty(6.1.26)
  Content-Length: 720
+---+

  Response Body:

+---+
{
   "job" : {
      "avgReduceTime" : 124961,
      "failedReduceAttempts" : 0,
      "state" : "SUCCEEDED",
      "successfulReduceAttempts" : 1,
      "acls" : [
         {
            "value" : " ",
            "name" : "mapreduce.job.acl-modify-job"
         },
         {
            "value" : " ",
            "name" : "mapreduce.job.acl-view-job"
         }
      ],
      "user" : "user1",
      "reducesTotal" : 1,
      "mapsCompleted" : 1,
      "startTime" : 1326381446529,
      "id" : "job_1326381300833_2_2",
      "avgMapTime" : 2638,
      "successfulMapAttempts" : 1,
      "name" : "Sleep job",
      "avgShuffleTime" : 2540,
      "reducesCompleted" : 1,
      "diagnostics" : "",
      "failedMapAttempts" : 0,
      "avgMergeTime" : 2589,
      "killedReduceAttempts" : 0,
      "mapsTotal" : 1,
      "queue" : "default",
      "uberized" : false,
      "killedMapAttempts" : 0,
      "finishTime" : 1326381582106
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 983
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<job>
  <startTime>1326381446529</startTime>
  <finishTime>1326381582106</finishTime>
  <id>job_1326381300833_2_2</id>
  <name>Sleep job</name>
  <queue>default</queue>
  <user>user1</user>
  <state>SUCCEEDED</state>
  <mapsTotal>1</mapsTotal>
  <mapsCompleted>1</mapsCompleted>
  <reducesTotal>1</reducesTotal>
  <reducesCompleted>1</reducesCompleted>
  <uberized>false</uberized>
  <diagnostics/>
  <avgMapTime>2638</avgMapTime>
  <avgReduceTime>124961</avgReduceTime>
  <avgShuffleTime>2540</avgShuffleTime>
  <avgMergeTime>2589</avgMergeTime>
  <failedReduceAttempts>0</failedReduceAttempts>
  <killedReduceAttempts>0</killedReduceAttempts>
  <successfulReduceAttempts>1</successfulReduceAttempts>
  <failedMapAttempts>0</failedMapAttempts>
  <killedMapAttempts>0</killedMapAttempts>
  <successfulMapAttempts>1</successfulMapAttempts>
  <acls>
    <name>mapreduce.job.acl-modify-job</name>
    <value> </value>
  </acls>
  <acls>
    <name>mapreduce.job.acl-view-job</name>
    <value> </value>
  </acls>
</job>
+---+

** Job Attempts API

  With the job attempts API, you can obtain a collection of resources that represent a job attempt.  When you run a GET operation on this resource, you obtain a collection of Job Attempt Objects. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/jobattempts
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <jobAttempts> object

  When you make a request for the list of job attempts, the information will be returned as an array of job attempt objects. 

  jobAttempts:

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| jobAttempt | array of job attempt objects(JSON)/zero or more job attempt objects(XML) | The collection of job attempt objects |
*---------------+--------------+--------------------------------+

*** Elements of the <jobAttempt> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| id | string | The job attempt id |
*---------------+--------------+--------------------------------+
| nodeId | string | The node id of the node the attempt ran on|
*---------------+--------------+--------------------------------+
| nodeHttpAddress | string | The node http address of the node the attempt ran on|
*---------------+--------------+--------------------------------+
| logsLink | string | The http link to the job attempt logs |
*---------------+--------------+--------------------------------+
| containerId | string | The id of the container for the job attempt |
*---------------+--------------+--------------------------------+
| startTime | long | The start time of the attempt (in ms since epoch)|
*---------------+--------------+--------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/jobattempts
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "jobAttempts" : {
      "jobAttempt" : [
         {
            "nodeId" : "host.domain.com:45454",
            "nodeHttpAddress" : "host.domain.com:9999",
            "startTime" : 1326381444693,
            "id" : 1,
            "logsLink" : "http://host.domain.com:19888/jobhistory/logs/host.domain.com:45454/container_1326381300833_0002_01_000001/job_1326381300833_2_2/user1",
            "containerId" : "container_1326381300833_0002_01_000001"
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/jobattmpts
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 575
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobAttempts>
  <jobAttempt>
    <nodeHttpAddress>host.domain.com:9999</nodeHttpAddress>
    <nodeId>host.domain.com:45454</nodeId>
    <id>1</id>
    <startTime>1326381444693</startTime>
    <containerId>container_1326381300833_0002_01_000001</containerId>
    <logsLink>http://host.domain.com:19888/jobhistory/logs/host.domain.com:45454/container_1326381300833_0002_01_000001/job_1326381300833_2_2/user1</logsLink>
  </jobAttempt>
</jobAttempts>
+---+

** Job Counters API

  With the job counters API, you can object a collection of resources that represent al the counters for that job. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/counters
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <jobCounters> object
  
*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| id | string | The job id |
*---------------+--------------+-------------------------------+
| counterGroup | array of counterGroup objects(JSON)/zero or more counterGroup objects(XML) | A collection of counter group objects |
*---------------+--------------+-------------------------------+

*** Elements of the <counterGroup> objecs

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| counterGroupName | string | The name of the counter group |
*---------------+--------------+-------------------------------+
| counter | array of counter objects(JSON)/zero or more counter objects(XML) | A collection of counter objects |
*---------------+--------------+-------------------------------+

*** Elements of the <counter> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| name | string | The name of the counter |
*---------------+--------------+-------------------------------+
| reduceCounterValue | long | The counter value of reduce tasks |
*---------------+--------------+-------------------------------+
| mapCounterValue | long | The counter value of map tasks |
*---------------+--------------+-------------------------------+
| totalCounterValue | long | The counter value of all tasks |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/counters
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "jobCounters" : {
      "id" : "job_1326381300833_2_2",
      "counterGroup" : [
         {
            "counterGroupName" : "Shuffle Errors",
            "counter" : [
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "BAD_ID"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "CONNECTION"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "IO_ERROR"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "WRONG_LENGTH"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "WRONG_MAP"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "WRONG_REDUCE"
               }
            ]
          },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.FileSystemCounter",
            "counter" : [
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2483,
                  "name" : "FILE_BYTES_READ"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 108525,
                  "name" : "FILE_BYTES_WRITTEN"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "FILE_READ_OPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "FILE_LARGE_READ_OPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "FILE_WRITE_OPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 48,
                  "name" : "HDFS_BYTES_READ"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "HDFS_BYTES_WRITTEN"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1,
                  "name" : "HDFS_READ_OPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "HDFS_LARGE_READ_OPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "HDFS_WRITE_OPS"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.TaskCounter",
            "counter" : [
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1,
                  "name" : "MAP_INPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1200,
                  "name" : "MAP_OUTPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 4800,
                  "name" : "MAP_OUTPUT_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2235,
                  "name" : "MAP_OUTPUT_MATERIALIZED_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 48,
                  "name" : "SPLIT_RAW_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "COMBINE_INPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "COMBINE_OUTPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1200,
                  "name" : "REDUCE_INPUT_GROUPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2235,
                  "name" : "REDUCE_SHUFFLE_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1200,
                  "name" : "REDUCE_INPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "REDUCE_OUTPUT_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2400,
                  "name" : "SPILLED_RECORDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1,
                  "name" : "SHUFFLED_MAPS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "FAILED_SHUFFLE"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1,
                  "name" : "MERGED_MAP_OUTPUTS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 113,
                  "name" : "GC_TIME_MILLIS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1830,
                  "name" : "CPU_MILLISECONDS"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 478068736,
                  "name" : "PHYSICAL_MEMORY_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2159284224,
                  "name" : "VIRTUAL_MEMORY_BYTES"
               },
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 378863616,
                  "name" : "COMMITTED_HEAP_BYTES"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.lib.input.FileInputFormatCounter",
            "counter" : [
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "BYTES_READ"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter",
            "counter" : [
               {
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "BYTES_WRITTEN"
               }
            ]
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/counters
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 7030
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobCounters>
  <id>job_1326381300833_2_2</id>
  <counterGroup>
    <counterGroupName>Shuffle Errors</counterGroupName>
    <counter>
      <name>BAD_ID</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>CONNECTION</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>IO_ERROR</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>WRONG_LENGTH</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>WRONG_MAP</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>WRONG_REDUCE</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
  </counterGroup>
  <counterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.FileSystemCounter</counterGroupName>
    <counter>
      <name>FILE_BYTES_READ</name>
      <totalCounterValue>2483</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>FILE_BYTES_WRITTEN</name>
      <totalCounterValue>108525</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>FILE_READ_OPS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>FILE_LARGE_READ_OPS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>FILE_WRITE_OPS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>HDFS_BYTES_READ</name>
      <totalCounterValue>48</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>HDFS_BYTES_WRITTEN</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>HDFS_READ_OPS</name>
      <totalCounterValue>1</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>HDFS_LARGE_READ_OPS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>HDFS_WRITE_OPS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
  </counterGroup>
  <counterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.TaskCounter</counterGroupName>
    <counter>
      <name>MAP_INPUT_RECORDS</name>
      <totalCounterValue>1</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>MAP_OUTPUT_RECORDS</name>
      <totalCounterValue>1200</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>MAP_OUTPUT_BYTES</name>
      <totalCounterValue>4800</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>MAP_OUTPUT_MATERIALIZED_BYTES</name>
      <totalCounterValue>2235</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>SPLIT_RAW_BYTES</name>
      <totalCounterValue>48</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>COMBINE_INPUT_RECORDS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>COMBINE_OUTPUT_RECORDS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>REDUCE_INPUT_GROUPS</name>
      <totalCounterValue>1200</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>REDUCE_SHUFFLE_BYTES</name>
      <totalCounterValue>2235</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>REDUCE_INPUT_RECORDS</name>
      <totalCounterValue>1200</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>REDUCE_OUTPUT_RECORDS</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>SPILLED_RECORDS</name>
      <totalCounterValue>2400</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>SHUFFLED_MAPS</name>
      <totalCounterValue>1</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>FAILED_SHUFFLE</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>MERGED_MAP_OUTPUTS</name>
      <totalCounterValue>1</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>GC_TIME_MILLIS</name>
      <totalCounterValue>113</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>CPU_MILLISECONDS</name>
      <totalCounterValue>1830</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>PHYSICAL_MEMORY_BYTES</name>
      <totalCounterValue>478068736</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>VIRTUAL_MEMORY_BYTES</name>
      <totalCounterValue>2159284224</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>COMMITTED_HEAP_BYTES</name>
      <totalCounterValue>378863616</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
  </counterGroup>
  <counterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.lib.input.FileInputFormatCounter</counterGroupName>
    <counter>
      <name>BYTES_READ</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
  </counterGroup>
  <counterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter</counterGroupName>
    <counter>
      <name>BYTES_WRITTEN</name>
      <totalCounterValue>0</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
  </counterGroup>
</jobCounters>
+---+


** Job Conf API

  A job configuration resource contains information about the job configuration for this job.

*** URI

  Use the following URI to obtain th job configuration information, from a job identified by the {jobid} value. 

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/conf
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <conf> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| path | string | The path to the job configuration file|
*---------------+--------------+-------------------------------+
| property | array of the configuration properties(JSON)/zero or more configuration properties(XML) | Collection of configuration property objects|
*---------------+--------------+-------------------------------+

*** Elements of the <property> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| name | string | The name of the configuration property |
*---------------+--------------+-------------------------------+
| value | string | The value of the configuration property |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/conf
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

  This is a small snippet of the output as the output if very large. The real output contains every property in your job configuration file.

+---+
{
   "conf" : {
      "path" : "hdfs://host.domain.com:9000/user/user1/.staging/job_1326381300833_0002/job.xml",
      "property" : [
         {  
            "value" : "/home/hadoop/hdfs/data",
            "name" : "dfs.datanode.data.dir"
         },
         {
            "value" : "org.apache.hadoop.yarn.server.webproxy.amfilter.AmFilterInitializer",
            "name" : "hadoop.http.filter.initializers"
         },
         {
            "value" : "/home/hadoop/tmp",
            "name" : "mapreduce.cluster.temp.dir"
         },
         ...
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/conf
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 552
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<conf>
  <path>hdfs://host.domain.com:9000/user/user1/.staging/job_1326381300833_0002/job.xml</path>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>/home/hadoop/hdfs/data</value>
  </property>
  <property>
    <name>hadoop.http.filter.initializers</name>
    <value>org.apache.hadoop.yarn.server.webproxy.amfilter.AmFilterInitializer</value>
  </property>
  <property>
    <name>mapreduce.cluster.temp.dir</name>
    <value>/home/hadoop/tmp</value>
  </property>
  ...
</conf>
+---+

** Tasks API

  With the tasks API, you can obtain a collection of resources that represent a task within a job.  When you run a GET operation on this resource, you obtain a collection of Task Objects. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  * type - type of task, valid values are m or r.  m for map task or r for reduce task.
------

*** Elements of the <tasks> object

  When you make a request for the list of tasks , the information will be returned as an array of task objects. 
  See also {{Task API}} for syntax of the task object.

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| task | array of task objects(JSON)/zero or more task objects(XML) | The collection of task objects. |
*---------------+--------------+--------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "tasks" : {
      "task" : [
         {
            "progress" : 100,
            "elapsedTime" : 6777,
            "state" : "SUCCEEDED",
            "startTime" : 1326381446541,
            "id" : "task_1326381300833_2_2_m_0",
            "type" : "MAP",
            "successfulAttempt" : "attempt_1326381300833_2_2_m_0_0",
            "finishTime" : 1326381453318
         },
         {
            "progress" : 100,
            "elapsedTime" : 135559,
            "state" : "SUCCEEDED",
            "startTime" : 1326381446544,
            "id" : "task_1326381300833_2_2_r_0",
            "type" : "REDUCE",
            "successfulAttempt" : "attempt_1326381300833_2_2_r_0_0",
            "finishTime" : 1326381582103
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 653
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<tasks>
  <task>
    <startTime>1326381446541</startTime>
    <finishTime>1326381453318</finishTime>
    <elapsedTime>6777</elapsedTime>
    <progress>100.0</progress>
    <id>task_1326381300833_2_2_m_0</id>
    <state>SUCCEEDED</state>
    <type>MAP</type>
    <successfulAttempt>attempt_1326381300833_2_2_m_0_0</successfulAttempt>
  </task>
  <task>
    <startTime>1326381446544</startTime>
    <finishTime>1326381582103</finishTime>
    <elapsedTime>135559</elapsedTime>
    <progress>100.0</progress>
    <id>task_1326381300833_2_2_r_0</id>
    <state>SUCCEEDED</state>
    <type>REDUCE</type>
    <successfulAttempt>attempt_1326381300833_2_2_r_0_0</successfulAttempt>
  </task>
</tasks>
+---+

** {Task API}

  A Task resource contains information about a particular task within a job. 

*** URI

  Use the following URI to obtain an Task Object, from a task identified by the {taskid} value. 

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks/{taskid}
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <task> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| id | string  | The task id | 
*---------------+--------------+--------------------------------+
| state | string | The state of the task - valid values are:  NEW, SCHEDULED, RUNNING, SUCCEEDED, FAILED, KILL_WAIT, KILLED
*---------------+--------------+--------------------------------+
| type | string | The task type - MAP or REDUCE|
*---------------+--------------+--------------------------------+
| successfulAttempt | string | The id of the last successful attempt |
*---------------+--------------+--------------------------------+
| progress | float | The progress of the task as a percent|
*---------------+--------------+--------------------------------+
| startTime | long | The time in which the task started (in ms since epoch)|
*---------------+--------------+--------------------------------+
| finishTime | long | The time in which the task finished (in ms since epoch)|
*---------------+--------------+--------------------------------+
| elapsedTime | long | The elapsed time since the application started (in ms)|
*---------------+--------------+--------------------------------+


*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "task" : {
      "progress" : 100,
      "elapsedTime" : 6777,
      "state" : "SUCCEEDED",
      "startTime" : 1326381446541,
      "id" : "task_1326381300833_2_2_m_0",
      "type" : "MAP",
      "successfulAttempt" : "attempt_1326381300833_2_2_m_0_0",
      "finishTime" : 1326381453318
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 299
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<task>
  <startTime>1326381446541</startTime>
  <finishTime>1326381453318</finishTime>
  <elapsedTime>6777</elapsedTime>
  <progress>100.0</progress>
  <id>task_1326381300833_2_2_m_0</id>
  <state>SUCCEEDED</state>
  <type>MAP</type>
  <successfulAttempt>attempt_1326381300833_2_2_m_0_0</successfulAttempt>
</task>
+---+

** Task Counters API

  With the task counters API, you can object a collection of resources that represent al the counters for that task. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks/{taskid}/counters
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <jobTaskCounters> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| id | string | The task id |
*---------------+--------------+-------------------------------+
| taskcounterGroup | array of counterGroup objects(JSON)/zero or more counterGroup objects(XML) | A collection of counter group objects |
*---------------+--------------+-------------------------------+

*** Elements of the <counterGroup> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| counterGroupName | string | The name of the counter group |
*---------------+--------------+-------------------------------+
| counter | array of counter objects(JSON)/zero or more counter objects(XML) | A collection of counter objects |
*---------------+--------------+-------------------------------+

*** Elements of the <counter> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| name | string | The name of the counter |
*---------------+--------------+-------------------------------+
| value | long | The value of the counter |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/counters
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "jobTaskCounters" : {
      "id" : "task_1326381300833_2_2_m_0",
      "taskCounterGroup" : [
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.FileSystemCounter",
            "counter" : [
               {
                  "value" : 2363,
                  "name" : "FILE_BYTES_READ"
               },
               {
                  "value" : 54372,
                  "name" : "FILE_BYTES_WRITTEN"
               },
               {
                  "value" : 0,
                  "name" : "FILE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "FILE_LARGE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "FILE_WRITE_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_BYTES_READ"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_BYTES_WRITTEN"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_LARGE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_WRITE_OPS"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.TaskCounter",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "COMBINE_INPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "COMBINE_OUTPUT_RECORDS"
               },
               {
                  "value" : 460,
                  "name" : "REDUCE_INPUT_GROUPS"
               },
               {
                  "value" : 2235,
                  "name" : "REDUCE_SHUFFLE_BYTES"
               },
               {
                  "value" : 460,
                  "name" : "REDUCE_INPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "REDUCE_OUTPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "SPILLED_RECORDS"
               },
               {
                  "value" : 1,
                  "name" : "SHUFFLED_MAPS"
               },
               {
                  "value" : 0,
                  "name" : "FAILED_SHUFFLE"
               },
               {
                  "value" : 1,
                  "name" : "MERGED_MAP_OUTPUTS"
               },
               {
                  "value" : 26,
                  "name" : "GC_TIME_MILLIS"
               },
               {
                  "value" : 860,
                  "name" : "CPU_MILLISECONDS"
               },
               {
                  "value" : 107839488,
                  "name" : "PHYSICAL_MEMORY_BYTES"
               },
               {
                  "value" : 1123147776,
                  "name" : "VIRTUAL_MEMORY_BYTES"
               },
               {
                  "value" : 57475072,
                  "name" : "COMMITTED_HEAP_BYTES"
               }
            ]
         },
         {
            "counterGroupName" : "Shuffle Errors",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "BAD_ID"
               },
               {
                  "value" : 0,
                  "name" : "CONNECTION"
               },
               {
                  "value" : 0,
                  "name" : "IO_ERROR"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_LENGTH"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_MAP"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_REDUCE"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "BYTES_WRITTEN"
               }
            ]
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/counters
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 2660
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskCounters>
  <id>task_1326381300833_2_2_m_0</id>
  <taskCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.FileSystemCounter</counterGroupName>
    <counter>
      <name>FILE_BYTES_READ</name>
      <value>2363</value>
    </counter>
    <counter>
      <name>FILE_BYTES_WRITTEN</name>
      <value>54372</value>
    </counter>
    <counter>
      <name>FILE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>FILE_LARGE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>FILE_WRITE_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_BYTES_READ</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_BYTES_WRITTEN</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_LARGE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_WRITE_OPS</name>
      <value>0</value>
    </counter>
  </taskCounterGroup>
  <taskCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.TaskCounter</counterGroupName>
    <counter>
      <name>COMBINE_INPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>COMBINE_OUTPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>REDUCE_INPUT_GROUPS</name>
      <value>460</value>
    </counter>
    <counter>
      <name>REDUCE_SHUFFLE_BYTES</name>
      <value>2235</value>
    </counter>
    <counter>
      <name>REDUCE_INPUT_RECORDS</name>
      <value>460</value>
    </counter>
    <counter>
      <name>REDUCE_OUTPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>SPILLED_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>SHUFFLED_MAPS</name>
      <value>1</value>
    </counter>
    <counter>
      <name>FAILED_SHUFFLE</name>
      <value>0</value>
    </counter>
    <counter>
      <name>MERGED_MAP_OUTPUTS</name>
      <value>1</value>
    </counter>
    <counter>
      <name>GC_TIME_MILLIS</name>
      <value>26</value>
    </counter>
    <counter>
      <name>CPU_MILLISECONDS</name>
      <value>860</value>
    </counter>
    <counter>
      <name>PHYSICAL_MEMORY_BYTES</name>
      <value>107839488</value>
    </counter>
    <counter>
      <name>VIRTUAL_MEMORY_BYTES</name>
      <value>1123147776</value>
    </counter>
    <counter>
      <name>COMMITTED_HEAP_BYTES</name>
      <value>57475072</value>
    </counter>
  </taskCounterGroup>
  <taskCounterGroup>
    <counterGroupName>Shuffle Errors</counterGroupName>
    <counter>
      <name>BAD_ID</name>
      <value>0</value>
    </counter>
    <counter>
      <name>CONNECTION</name>
      <value>0</value>
    </counter>
    <counter>
      <name>IO_ERROR</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_LENGTH</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_MAP</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_REDUCE</name>
      <value>0</value>
    </counter>
  </taskCounterGroup>
  <taskCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter</counterGroupName>
    <counter>
      <name>BYTES_WRITTEN</name>
      <value>0</value>
    </counter>
  </taskCounterGroup>
</jobTaskCounters>
+---+

** Task Attempts API

  With the task attempts API, you can obtain a collection of resources that represent a task attempt within a job.  When you run a GET operation on this resource, you obtain a collection of Task Attempt Objects. 

*** URI

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks/{taskid}/attempts
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <taskAttempts> object

  When you make a request for the list of task attempts, the information will be returned as an array of task attempt objects. 
  See also {{Task Attempt API}} for syntax of the task object.

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| taskAttempt | array of task attempt objects(JSON)/zero or more task attempt objects(XML) | The collection of task attempt objects |
*---------------+--------------+--------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "taskAttempts" : {
      "taskAttempt" : [
         {
            "assignedContainerId" : "container_1326381300833_0002_01_000002",
            "progress" : 100,
            "elapsedTime" : 2638,
            "state" : "SUCCEEDED",
            "diagnostics" : "",
            "rack" : "/98.139.92.0",
            "nodeHttpAddress" : "host.domain.com:9999",
            "startTime" : 1326381450680,
            "id" : "attempt_1326381300833_2_2_m_0_0",
            "type" : "MAP",
            "finishTime" : 1326381453318
         }
      ]
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 537
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<taskAttempts>
  <taskAttempt>
    <startTime>1326381450680</startTime>
    <finishTime>1326381453318</finishTime>
    <elapsedTime>2638</elapsedTime>
    <progress>100.0</progress>
    <id>attempt_1326381300833_2_2_m_0_0</id>
    <rack>/98.139.92.0</rack>
    <state>SUCCEEDED</state>
    <nodeHttpAddress>host.domain.com:9999</nodeHttpAddress>
    <diagnostics/>
    <type>MAP</type>
    <assignedContainerId>container_1326381300833_0002_01_000002</assignedContainerId>
  </taskAttempt>
</taskAttempts>
+---+

** {Task Attempt API}

  A Task Attempt resource contains information about a particular task attempt within a job. 

*** URI

  Use the following URI to obtain an Task Attempt Object, from a task identified by the {attemptid} value. 

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks/{taskid}/attempt/{attemptid}
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <taskAttempt> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| id | string  | The task id | 
*---------------+--------------+--------------------------------+
| rack | string  | The rack | 
*---------------+--------------+--------------------------------+
| state | string | The state of the task attempt - valid values are: NEW, UNASSIGNED, ASSIGNED, RUNNING, COMMIT_PENDING, SUCCESS_CONTAINER_CLEANUP, SUCCEEDED, FAIL_CONTAINER_CLEANUP, FAIL_TASK_CLEANUP, FAILED, KILL_CONTAINER_CLEANUP, KILL_TASK_CLEANUP, KILLED |
*---------------+--------------+--------------------------------+
| type | string | The type of task |
*---------------+--------------+--------------------------------+
| assignedContainerId | string | The container id this attempt is assigned to|
*---------------+--------------+--------------------------------+
| nodeHttpAddress | string | The http address of the node this task attempt ran on |
*---------------+--------------+--------------------------------+
| diagnostics| string | A diagnostics message |
*---------------+--------------+--------------------------------+
| progress | float | The progress of the task attempt as a percent|
*---------------+--------------+--------------------------------+
| startTime | long | The time in which the task attempt started (in ms since epoch)|
*---------------+--------------+--------------------------------+
| finishTime | long | The time in which the task attempt finished (in ms since epoch)|
*---------------+--------------+--------------------------------+
| elapsedTime | long | The elapsed time since the task attempt started (in ms)|
*---------------+--------------+--------------------------------+

  For reduce task attempts you also have the following fields:

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                  |
*---------------+--------------+-------------------------------+
| shuffleFinishTime | long | The time at which shuffle finished (in ms since epoch)| 
*---------------+--------------+--------------------------------+
| mergeFinishTime | long | The time at which merge finished (in ms since epoch)| 
*---------------+--------------+--------------------------------+
| elapsedShuffleTime | long | The time it took for the shuffle phase to complete (time in ms between reduce task start and shuffle finish)| 
*---------------+--------------+--------------------------------+
| elapsedMergeTime | long | The time it took for the merge phase to complete (time in ms between the shuffle finish and merge finish)| 
*---------------+--------------+--------------------------------+
| elapsedReduceTime | long | The time it took for the reduce phase to complete (time in ms between merge finish to end of reduce task)| 
*---------------+--------------+--------------------------------+


*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts/attempt_1326381300833_2_2_m_0_0 
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "taskAttempt" : {
      "assignedContainerId" : "container_1326381300833_0002_01_000002",
      "progress" : 100,
      "elapsedTime" : 2638,
      "state" : "SUCCEEDED",
      "diagnostics" : "",
      "rack" : "/98.139.92.0",
      "nodeHttpAddress" : "host.domain.com:9999",
      "startTime" : 1326381450680,
      "id" : "attempt_1326381300833_2_2_m_0_0",
      "type" : "MAP",
      "finishTime" : 1326381453318
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts/attempt_1326381300833_2_2_m_0_0 
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 691
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<taskAttempt>
  <startTime>1326381450680</startTime>
  <finishTime>1326381453318</finishTime>
  <elapsedTime>2638</elapsedTime>
  <progress>100.0</progress>
  <id>attempt_1326381300833_2_2_m_0_0</id>
  <rack>/98.139.92.0</rack>
  <state>SUCCEEDED</state>
  <nodeHttpAddress>host.domain.com:9999</nodeHttpAddress>
  <diagnostics/>
  <type>MAP</type>
  <assignedContainerId>container_1326381300833_0002_01_000002</assignedContainerId>
</taskAttempt>
+---+

** Task Attempt Counters API

  With the task attempt counters API, you can object a collection of resources that represent al the counters for that task attempt. 

*** URI 

------
  * http://<history server http address:port>/ws/v1/history/mapreduce/jobs/{jobid}/tasks/{taskid}/attempt/{attemptid}/counters
------

*** HTTP Operations Supported 

------
  * GET
------

*** Query Parameters Supported

------
  None
------

*** Elements of the <jobTaskAttemptCounters> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| id | string | The task attempt id |
*---------------+--------------+-------------------------------+
| taskAttemptcounterGroup | array of task attempt counterGroup objects(JSON)/zero or more task attempt counterGroup objects(XML) | A collection of task attempt counter group objects |
*---------------+--------------+-------------------------------+

*** Elements of the <taskAttemptCounterGroup> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| counterGroupName | string | The name of the counter group |
*---------------+--------------+-------------------------------+
| counter | array of counter objects(JSON)/zero or more counter objects(XML) | A collection of counter objects |
*---------------+--------------+-------------------------------+

*** Elements of the <counter> object

*---------------+--------------+-------------------------------+
|| Item         || Data Type   || Description                   |
*---------------+--------------+-------------------------------+
| name | string | The name of the counter |
*---------------+--------------+-------------------------------+
| value | long | The value of the counter |
*---------------+--------------+-------------------------------+

*** Response Examples

  <<JSON response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts/attempt_1326381300833_2_2_m_0_0/counters
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/json
  Transfer-Encoding: chunked
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
{
   "jobTaskAttemptCounters" : {
      "taskAttemptCounterGroup" : [
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.FileSystemCounter",
            "counter" : [
               {
                  "value" : 2363,
                  "name" : "FILE_BYTES_READ"
               },
               {
                  "value" : 54372,
                  "name" : "FILE_BYTES_WRITTEN"
               },
               {
                  "value" : 0,
                  "name" : "FILE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "FILE_LARGE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "FILE_WRITE_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_BYTES_READ"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_BYTES_WRITTEN"
               },
              {
                  "value" : 0,
                  "name" : "HDFS_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_LARGE_READ_OPS"
               },
               {
                  "value" : 0,
                  "name" : "HDFS_WRITE_OPS"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.TaskCounter",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "COMBINE_INPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "COMBINE_OUTPUT_RECORDS"
               },
               {
                  "value" : 460,
                  "name" : "REDUCE_INPUT_GROUPS"
               },
               {
                  "value" : 2235,
                  "name" : "REDUCE_SHUFFLE_BYTES"
               },
               {
                  "value" : 460,
                  "name" : "REDUCE_INPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "REDUCE_OUTPUT_RECORDS"
               },
               {
                  "value" : 0,
                  "name" : "SPILLED_RECORDS"
               },
               {
                  "value" : 1,
                  "name" : "SHUFFLED_MAPS"
               },
               {
                  "value" : 0,
                  "name" : "FAILED_SHUFFLE"
               },
               {
                  "value" : 1,
                  "name" : "MERGED_MAP_OUTPUTS"
               },
               {
                  "value" : 26,
                  "name" : "GC_TIME_MILLIS"
               },
               {
                  "value" : 860,
                  "name" : "CPU_MILLISECONDS"
               },
               {
                  "value" : 107839488,
                  "name" : "PHYSICAL_MEMORY_BYTES"
               },
               {
                  "value" : 1123147776,
                  "name" : "VIRTUAL_MEMORY_BYTES"
               },
               {
                  "value" : 57475072,
                  "name" : "COMMITTED_HEAP_BYTES"
               }
            ]
         },
         {
            "counterGroupName" : "Shuffle Errors",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "BAD_ID"
               },
               {
                  "value" : 0,
                  "name" : "CONNECTION"
               },
               {
                  "value" : 0,
                  "name" : "IO_ERROR"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_LENGTH"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_MAP"
               },
               {
                  "value" : 0,
                  "name" : "WRONG_REDUCE"
               }
            ]
         },
         {
            "counterGroupName" : "org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter",
            "counter" : [
               {
                  "value" : 0,
                  "name" : "BYTES_WRITTEN"
               }
            ]
         }
      ],
      "id" : "attempt_1326381300833_2_2_m_0_0"
   }
}
+---+

  <<XML response>>

  HTTP Request:

------
  GET http://<history server http address:port>/ws/v1/history/mapreduce/jobs/job_1326381300833_2_2/tasks/task_1326381300833_2_2_m_0/attempts/attempt_1326381300833_2_2_m_0_0/counters
  Accept: application/xml
------

  Response Header:

+---+
  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 2735
  Server: Jetty(6.1.26)
+---+

  Response Body:

+---+
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptCounters>
  <id>attempt_1326381300833_2_2_m_0_0</id>
  <taskAttemptCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.FileSystemCounter</counterGroupName>
    <counter>
      <name>FILE_BYTES_READ</name>
      <value>2363</value>
    </counter>
    <counter>
      <name>FILE_BYTES_WRITTEN</name>
      <value>54372</value>
    </counter>
    <counter>
      <name>FILE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>FILE_LARGE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>FILE_WRITE_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_BYTES_READ</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_BYTES_WRITTEN</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_LARGE_READ_OPS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>HDFS_WRITE_OPS</name>
      <value>0</value>
    </counter>
  </taskAttemptCounterGroup>
  <taskAttemptCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.TaskCounter</counterGroupName>
    <counter>
      <name>COMBINE_INPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>COMBINE_OUTPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>REDUCE_INPUT_GROUPS</name>
      <value>460</value>
    </counter>
    <counter>
      <name>REDUCE_SHUFFLE_BYTES</name>
      <value>2235</value>
    </counter>
    <counter>
      <name>REDUCE_INPUT_RECORDS</name>
      <value>460</value>
    </counter>
    <counter>
      <name>REDUCE_OUTPUT_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>SPILLED_RECORDS</name>
      <value>0</value>
    </counter>
    <counter>
      <name>SHUFFLED_MAPS</name>
      <value>1</value>
    </counter>
    <counter>
      <name>FAILED_SHUFFLE</name>
      <value>0</value>
    </counter>
    <counter>
      <name>MERGED_MAP_OUTPUTS</name>
      <value>1</value>
    </counter>
    <counter>
      <name>GC_TIME_MILLIS</name>
      <value>26</value>
    </counter>
    <counter>
      <name>CPU_MILLISECONDS</name>
      <value>860</value>
    </counter>
    <counter>
      <name>PHYSICAL_MEMORY_BYTES</name>
      <value>107839488</value>
    </counter>
    <counter>
      <name>VIRTUAL_MEMORY_BYTES</name>
      <value>1123147776</value>
    </counter>
    <counter>
      <name>COMMITTED_HEAP_BYTES</name>
      <value>57475072</value>
    </counter>
  </taskAttemptCounterGroup>
  <taskAttemptCounterGroup>
    <counterGroupName>Shuffle Errors</counterGroupName>
    <counter>
      <name>BAD_ID</name>
      <value>0</value>
    </counter>
    <counter>
      <name>CONNECTION</name>
      <value>0</value>
    </counter>
    <counter>
      <name>IO_ERROR</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_LENGTH</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_MAP</name>
      <value>0</value>
    </counter>
    <counter>
      <name>WRONG_REDUCE</name>
      <value>0</value>
    </counter>
  </taskAttemptCounterGroup>
  <taskAttemptCounterGroup>
    <counterGroupName>org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter</counterGroupName>
    <counter>
      <name>BYTES_WRITTEN</name>
      <value>0</value>
    </counter>
  </taskAttemptCounterGroup>
</jobTaskAttemptCounters>
+---+