MapReduce Application Master REST API's.

MapReduce Application Master REST API's.

Overview

The MapReduce Application Master REST API's allow the user to get status on the running MapReduce application master. Currently this is the equivalent to a running MapReduce job. The information includes the jobs the app master is running and all the job particulars like tasks, counters, configuration, attempts, etc. The application master should be accessed via the proxy. This proxy is configurable to run either on the resource manager or on a separate host. The proxy URL usually looks like: http://proxy http address:port/proxy/appid.

Mapreduce Application Master Info API

The MapReduce application master information resource provides overall information about that mapreduce application master. This includes application id, time it was started, user, name, etc.

URI

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

  * http://<proxy http address:port>/proxy/{appid}/ws/v1/mapreduce
  * http://<proxy http address:port>/proxy/{appid}/ws/v1/mapreduce/info

HTTP Operations Supported

  * GET

Query Parameters Supported

  None

Elements of the info object

When you make a request for the mapreduce application master information, the information will be returned as an info object.

Item	Data Type	Description
appId	long	The application id
startedOn	long	The time the application started (in ms since epoch)
name	string	The name of the application
user	string	The user name of the user who started the application
elapsedTime	long	The time since the application was started (in ms)

Response Examples

JSON response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0003/ws/v1/mapreduce/info

Response Header:

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

Response Body:

{   
  "info" : {
      "appId" : "application_1326232085508_0003",
      "startedOn" : 1326238244047,
      "user" : "user1",
      "name" : "Sleep job",
      "elapsedTime" : 32374
   }
}

XML response

HTTP Request:

  Accept: application/xml
  GET http://<proxy http address:port>/proxy/application_1326232085508_0003/ws/v1/mapreduce/info

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 223
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<info>
  <appId>application_1326232085508_0003</appId>
  <name>Sleep job</name>
  <user>user1</user>
  <startedOn>1326238244047</startedOn>
  <elapsedTime>32407</elapsedTime>
</info>

Jobs API

The jobs resource provides a list of the jobs running on this application master. See also Job API for syntax of the job object.

URI

  *  http://<proxy http address:port>/proxy/{appid}/ws/v1/mapreduce/jobs

HTTP Operations Supported

  * GET

Query Parameters Supported

  None

Elements of the jobs object

When you make a request for the list of jobs, the information will be returned as a collection 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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/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" : [
         {
            "runningReduceAttempts" : 1,
            "reduceProgress" : 100,
            "failedReduceAttempts" : 0,
            "newMapAttempts" : 0,
            "mapsRunning" : 0,
            "state" : "RUNNING",
            "successfulReduceAttempts" : 0,
            "reducesRunning" : 1,
            "acls" : [
               {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-modify-job"
               },
               {
                  "value" : " ",
                  "name" : "mapreduce.job.acl-view-job"
               }
            ],
            "reducesPending" : 0,
            "user" : "user1",
            "reducesTotal" : 1,
            "mapsCompleted" : 1,
            "startTime" : 1326238769379,
            "id" : "job_1326232085508_4_4",
            "successfulMapAttempts" : 1,
            "runningMapAttempts" : 0,
            "newReduceAttempts" : 0,
            "name" : "Sleep job",
            "mapsPending" : 0,
            "elapsedTime" : 59377,
            "reducesCompleted" : 0,
            "mapProgress" : 100,
            "diagnostics" : "",
            "failedMapAttempts" : 0,
            "killedReduceAttempts" : 0,
            "mapsTotal" : 1,
            "uberized" : false,
            "killedMapAttempts" : 0,
            "finishTime" : 0
         }
     ]
   }
 }

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 1214 
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobs>
  <job>
    <startTime>1326238769379</startTime>
    <finishTime>0</finishTime>
    <elapsedTime>59416</elapsedTime>
    <id>job_1326232085508_4_4</id>
    <name>Sleep job</name>
    <user>user1</user>
    <state>RUNNING</state>
    <mapsTotal>1</mapsTotal>
    <mapsCompleted>1</mapsCompleted>
    <reducesTotal>1</reducesTotal>
    <reducesCompleted>0</reducesCompleted>
    <mapProgress>100.0</mapProgress>
    <reduceProgress>100.0</reduceProgress>
    <mapsPending>0</mapsPending>
    <mapsRunning>0</mapsRunning>
    <reducesPending>0</reducesPending>
    <reducesRunning>1</reducesRunning>
    <uberized>false</uberized>
    <diagnostics/>
    <newReduceAttempts>0</newReduceAttempts>
    <runningReduceAttempts>1</runningReduceAttempts>
    <failedReduceAttempts>0</failedReduceAttempts>
    <killedReduceAttempts>0</killedReduceAttempts>
    <successfulReduceAttempts>0</successfulReduceAttempts>
    <newMapAttempts>0</newMapAttempts>
    <runningMapAttempts>0</runningMapAttempts>
    <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 that was started by this application master. Certain fields are only accessible if user has permissions - depends on acl settings.

URI

Use the following URI to obtain a job object, for a job identified by the jobid value.

  * http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/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
user	string	The user name
state	string	the job state - valid values are: NEW, INITED, RUNNING, SUCCEEDED, FAILED, KILL_WAIT, KILLED, ERROR
startTime	long	The time the job started (in ms since epoch)
finishTime	long	The time the job finished (in ms since epoch)
elapsedTime	long	The elapsed time since job started (in ms)
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
diagnostics	string	A diagnostic message
uberized	boolean	Indicates if the job was an uber job - ran completely in the application master
mapsPending	int	The number of maps still to be run
mapsRunning	int	The number of running maps
reducesPending	int	The number of reduces still to be run
reducesRunning	int	The number of running reduces
newReduceAttempts	int	The number of new reduce attempts
runningReduceAttempts	int	The number of running reduce attempts
failedReduceAttempts	int	The number of failed reduce attempts
killedReduceAttempts	int	The number of killed reduce attempts
successfulReduceAttempts	int	The number of successful reduce attempts
newMapAttempts	int	The number of new map attempts
runningMapAttempts	int	The number of running map 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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4

Response Header:

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

Response Body:

{
   "job" : {
      "runningReduceAttempts" : 1,
      "reduceProgress" : 100,
      "failedReduceAttempts" : 0,
      "newMapAttempts" : 0,
      "mapsRunning" : 0,
      "state" : "RUNNING",
      "successfulReduceAttempts" : 0,
      "reducesRunning" : 1,
      "acls" : [
         {  
            "value" : " ",
            "name" : "mapreduce.job.acl-modify-job"
         },
         {  
            "value" : " ",
            "name" : "mapreduce.job.acl-view-job"
         }
      ],
      "reducesPending" : 0,
      "user" : "user1",
      "reducesTotal" : 1,
      "mapsCompleted" : 1,
      "startTime" : 1326238769379,
      "id" : "job_1326232085508_4_4",
      "successfulMapAttempts" : 1,
      "runningMapAttempts" : 0,
      "newReduceAttempts" : 0,
      "name" : "Sleep job",
      "mapsPending" : 0,
      "elapsedTime" : 59437,
      "reducesCompleted" : 0,
      "mapProgress" : 100,
      "diagnostics" : "",
      "failedMapAttempts" : 0,
      "killedReduceAttempts" : 0,
      "mapsTotal" : 1,
      "uberized" : false,
      "killedMapAttempts" : 0,
      "finishTime" : 0
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 1201
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<job>
  <startTime>1326238769379</startTime>
  <finishTime>0</finishTime>
  <elapsedTime>59474</elapsedTime>
  <id>job_1326232085508_4_4</id>
  <name>Sleep job</name>
  <user>user1</user>
  <state>RUNNING</state>
  <mapsTotal>1</mapsTotal>
  <mapsCompleted>1</mapsCompleted>
  <reducesTotal>1</reducesTotal>
  <reducesCompleted>0</reducesCompleted>
  <mapProgress>100.0</mapProgress>
  <reduceProgress>100.0</reduceProgress>
  <mapsPending>0</mapsPending>
  <mapsRunning>0</mapsRunning>
  <reducesPending>0</reducesPending>
  <reducesRunning>1</reducesRunning>
  <uberized>false</uberized>
  <diagnostics/>  
  <newReduceAttempts>0</newReduceAttempts>
  <runningReduceAttempts>1</runningReduceAttempts>
  <failedReduceAttempts>0</failedReduceAttempts>
  <killedReduceAttempts>0</killedReduceAttempts>
  <successfulReduceAttempts>0</successfulReduceAttempts>
  <newMapAttempts>0</newMapAttempts>
  <runningMapAttempts>0</runningMapAttempts>
  <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 the job attempts. 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/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.

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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/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" : 1326238773493,
            "id" : 1, 
            "logsLink" : "http://host.domain.com:8042/node/containerlogs/container_1326232085508_0004_01_000001",
            "containerId" : "container_1326232085508_0004_01_000001"
         }  
      ]
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/jobattempts
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 498
  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>1326238773493</startTime>
    <containerId>container_1326232085508_0004_01_000001</containerId>
    <logsLink>http://host.domain.com:8042/node/containerlogs/container_1326232085508_0004_01_000001</logsLink>
  </jobAttempt>
</jobAttempts>

Job Counters API

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

URI

  * http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/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 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
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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/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_1326232085508_4_4",
      "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" : 108763,
                  "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" : 460,
                  "name" : "REDUCE_INPUT_GROUPS"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2235,
                  "name" : "REDUCE_SHUFFLE_BYTES"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 460,
                  "name" : "REDUCE_INPUT_RECORDS"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 0,
                  "name" : "REDUCE_OUTPUT_RECORDS"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1200,
                  "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" : 58,
                  "name" : "GC_TIME_MILLIS"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 1580,
                  "name" : "CPU_MILLISECONDS"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 462643200,
                  "name" : "PHYSICAL_MEMORY_BYTES"
               }, 
               {   
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 2149728256,
                  "name" : "VIRTUAL_MEMORY_BYTES"
               }, 
              {  
                  "reduceCounterValue" : 0,
                  "mapCounterValue" : 0,
                  "totalCounterValue" : 357957632,
                  "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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/counters
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 7027
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobCounters>
  <id>job_1326232085508_4_4</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>108763</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>460</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>460</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>1200</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>58</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>CPU_MILLISECONDS</name>
      <totalCounterValue>1580</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>PHYSICAL_MEMORY_BYTES</name>
      <totalCounterValue>462643200</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>VIRTUAL_MEMORY_BYTES</name>
      <totalCounterValue>2149728256</totalCounterValue>
      <mapCounterValue>0</mapCounterValue>
      <reduceCounterValue>0</reduceCounterValue>
    </counter>
    <counter>
      <name>COMMITTED_HEAP_BYTES</name>
      <totalCounterValue>357957632</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://<proxy http address:port>/proxy/{appid}/ws/v1/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 property objects(XML)	Collection of 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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/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_1326232085508_0004/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" : ["programatically", "job.xml"]
         },
         {
            "value" : "/home/hadoop/tmp",
            "name" : "mapreduce.cluster.temp.dir"
            "source" : ["mapred-site.xml"]
         },
         ...
      ]
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/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_1326232085508_0004/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>programatically</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 all the tasks for a job. When you run a GET operation on this resource, you obtain a collection of Task Objects.

URI

  * http://<proxy http address:port>/proxy/{appid}/ws/v1/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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/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" : 2768,
            "state" : "SUCCEEDED",
            "startTime" : 1326238773493,
            "id" : "task_1326232085508_4_4_m_0",
            "type" : "MAP",
            "successfulAttempt" : "attempt_1326232085508_4_4_m_0_0",
            "finishTime" : 1326238776261
         },
         {
            "progress" : 100,
            "elapsedTime" : 0,
            "state" : "RUNNING",
            "startTime" : 1326238777460,
            "id" : "task_1326232085508_4_4_r_0",
            "type" : "REDUCE",
            "successfulAttempt" : "",
            "finishTime" : 0
         }
      ]
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 603
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<tasks>
  <task>
    <startTime>1326238773493</startTime>
    <finishTime>1326238776261</finishTime>
    <elapsedTime>2768</elapsedTime>
    <progress>100.0</progress>
    <id>task_1326232085508_4_4_m_0</id>
    <state>SUCCEEDED</state>
    <type>MAP</type>
    <successfulAttempt>attempt_1326232085508_4_4_m_0_0</successfulAttempt>
  </task>
  <task>
    <startTime>1326238777460</startTime>
    <finishTime>0</finishTime>
    <elapsedTime>0</elapsedTime>
    <progress>100.0</progress>
    <id>task_1326232085508_4_4_r_0</id>
    <state>RUNNING</state>
    <type>REDUCE</type>
    <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://<proxy http address:port>/proxy/{appid}/ws/v1/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 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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_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" : 0,
      "state" : "RUNNING",
      "startTime" : 1326238777460,
      "id" : "task_1326232085508_4_4_r_0",
      "type" : "REDUCE",
      "successfulAttempt" : "",
      "finishTime" : 0
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_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>1326238777460</startTime>
  <finishTime>0</finishTime>
  <elapsedTime>0</elapsedTime>
  <progress>100.0</progress>
  <id>task_1326232085508_4_4_r_0</id>
  <state>RUNNING</state>
  <type>REDUCE</type>
  <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://<proxy http address:port>/proxy/{appid}/ws/v1/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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_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_1326232085508_4_4_r_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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_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_1326232085508_4_4_r_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://<proxy http address:port>/proxy/{appid}/ws/v1/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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_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" : [
         {
            "elapsedMergeTime" : 47,
            "shuffleFinishTime" : 1326238780052,
            "assignedContainerId" : "container_1326232085508_0004_01_000003",
            "progress" : 100,
            "elapsedTime" : 0,
            "state" : "RUNNING",
            "elapsedShuffleTime" : 2592,
            "mergeFinishTime" : 1326238780099,
            "rack" : "/98.139.92.0",
            "elapsedReduceTime" : 0,
            "nodeHttpAddress" : "host.domain.com:8042",
            "type" : "REDUCE",
            "startTime" : 1326238777460,
            "id" : "attempt_1326232085508_4_4_r_0_0",
            "finishTime" : 0
         }
      ]
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_0/attempts
  Accept: application/xml

Response Header:

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 807
  Server: Jetty(6.1.26)

Response Body:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<taskAttempts>
  <taskAttempt xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:type="reduceTaskAttemptInfo">
    <startTime>1326238777460</startTime>
    <finishTime>0</finishTime>
    <elapsedTime>0</elapsedTime>
    <progress>100.0</progress>
    <id>attempt_1326232085508_4_4_r_0_0</id>
    <rack>/98.139.92.0</rack>
    <state>RUNNING</state>
    <nodeHttpAddress>host.domain.com:8042</nodeHttpAddress>
    <type>REDUCE</type>
    <assignedContainerId>container_1326232085508_0004_01_000003</assignedContainerId>
    <shuffleFinishTime>1326238780052</shuffleFinishTime>
    <mergeFinishTime>1326238780099</mergeFinishTime>
    <elapsedShuffleTime>2592</elapsedShuffleTime>
    <elapsedMergeTime>47</elapsedMergeTime>
    <elapsedReduceTime>0</elapsedReduceTime>
  </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://<proxy http address:port>/proxy/{appid}/ws/v1/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	The 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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_0/attempts/attempt_1326232085508_4_4_r_0_0

Response Header:

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

Response Body:

{
   "taskAttempt" : {
      "elapsedMergeTime" : 47,
      "shuffleFinishTime" : 1326238780052,
      "assignedContainerId" : "container_1326232085508_0004_01_000003",
      "progress" : 100,
      "elapsedTime" : 0,
      "state" : "RUNNING",
      "elapsedShuffleTime" : 2592,
      "mergeFinishTime" : 1326238780099,
      "rack" : "/98.139.92.0",
      "elapsedReduceTime" : 0,
      "nodeHttpAddress" : "host.domain.com:8042",
      "startTime" : 1326238777460,
      "id" : "attempt_1326232085508_4_4_r_0_0",
      "type" : "REDUCE",
      "finishTime" : 0
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_0/attempts/attempt_1326232085508_4_4_r_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>1326238777460</startTime>
  <finishTime>0</finishTime>
  <elapsedTime>0</elapsedTime>
  <progress>100.0</progress>
  <id>attempt_1326232085508_4_4_r_0_0</id>
  <rack>/98.139.92.0</rack>
  <state>RUNNING</state>
  <nodeHttpAddress>host.domain.com:8042</nodeHttpAddress>
  <type>REDUCE</type>
  <assignedContainerId>container_1326232085508_0004_01_000003</assignedContainerId>
  <shuffleFinishTime>1326238780052</shuffleFinishTime>
  <mergeFinishTime>1326238780099</mergeFinishTime>
  <elapsedShuffleTime>2592</elapsedShuffleTime>
  <elapsedMergeTime>47</elapsedMergeTime>
  <elapsedReduceTime>0</elapsedReduceTime>
</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://<proxy http address:port>/proxy/{appid}/ws/v1/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://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_0/attempts/attempt_1326232085508_4_4_r_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_1326232085508_4_4_r_0_0"
   }
}

XML response

HTTP Request:

  GET http://<proxy http address:port>/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks/task_1326232085508_4_4_r_0/attempts/attempt_1326232085508_4_4_r_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_1326232085508_4_4_r_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>

Common

HDFS

MapReduce/YARN

YARN REST APIs

Auth

Reference

Configuration