MapReduce History Server REST API’s.

Overview

The history server REST API’s allow the user to get status on finished applications.

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
startedOn long The time the history server was started (in ms since epoch)
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" : {
      "startedOn":1353512830963,
      "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>
  <startedOn>1353512830963</startedOn>
  <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. It does not currently return a full list of parameters

URI

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

HTTP Operations Supported

  * GET

Query Parameters Supported

Multiple parameters 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
  * state - the job state
  * 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. Except this is a subset of a full job. Only startTime, finishTime, id, name, queue, user, state, mapsTotal, mapsCompleted, reducesTotal, and reducesCompleted are returned.

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" : [
         {
            "submitTime" : 1326381344449,
            "state" : "SUCCEEDED",
            "user" : "user1",
            "reducesTotal" : 1,
            "mapsCompleted" : 1,
            "startTime" : 1326381344489,
            "id" : "job_1326381300833_1_1",
            "name" : "word count",
            "reducesCompleted" : 1,
            "mapsTotal" : 1,
            "queue" : "default",
            "finishTime" : 1326381356010
         },
         {
            "submitTime" : 1326381446500
            "state" : "SUCCEEDED",
            "user" : "user1",
            "reducesTotal" : 1,
            "mapsCompleted" : 1,
            "startTime" : 1326381446529,
            "id" : "job_1326381300833_2_2",
            "name" : "Sleep job",
            "reducesCompleted" : 1,
            "mapsTotal" : 1,
            "queue" : "default",
            "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>
    <submitTime>1326381344449</submitTime>
    <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>
  </job>
  <job>
    <submitTime>1326381446500</submitTime>
    <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>
  </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
submitTime long The time the job submitted (in ms since epoch)
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" : {
      "submitTime":  1326381446500,
      "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>
  <submitTime>1326381446500</submitTime>
  <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 int 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:8041",
            "nodeHttpAddress" : "host.domain.com:8042",
            "startTime" : 1326381444693,
            "id" : 1,
            "logsLink" : "http://host.domain.com:19888/jobhistory/logs/host.domain.com:8041/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:8042</nodeHttpAddress>
    <nodeId>host.domain.com:8041</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:8041/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
source string The location this configuration object came from. If there is more then one of these it shows the history with the latest source at the end of the list.

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"
            "source" : ["hdfs-site.xml", "job.xml"]
         },
         {
            "value" : "org.apache.hadoop.yarn.server.webproxy.amfilter.AmFilterInitializer",
            "name" : "hadoop.http.filter.initializers"
            "source" : ["programmatically", "job.xml"]
         },
         {
            "value" : "/home/hadoop/tmp",
            "name" : "mapreduce.cluster.temp.dir"
            "source" : ["mapred-site.xml"]
         },
         ...
      ]
   }
}

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>
    <source>hdfs-site.xml</source>
    <source>job.xml</source>
  </property>
  <property>
    <name>hadoop.http.filter.initializers</name>
    <value>org.apache.hadoop.yarn.server.webproxy.amfilter.AmFilterInitializer</value>
    <source>programmatically</source>
    <source>job.xml</source>
  </property>
  <property>
    <name>mapreduce.cluster.temp.dir</name>
    <value>/home/hadoop/tmp</value>
    <source>mapred-site.xml</source>
  </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) or -1 if it was never started
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 all 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:8042",
            "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:8042</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}/attempts/{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:8042",
      "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:8042</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}/attempts/{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>