MapReduce 應用程式主控項 REST API

概觀

MapReduce 應用程式主控項 REST API 讓使用者取得正在執行的 MapReduce 應用程式主控項的狀態。目前這等同於正在執行的 MapReduce 任務。資訊包括應用程式主控項正在執行的任務以及所有任務詳細資料，例如工作、計數器、組態、嘗試等。應透過代理伺服器存取應用程式主控項。此代理伺服器可組態為在資源管理員或獨立主機上執行。代理伺服器 URL 通常如下所示：http://proxy-http-address:port/proxy/appid。

Mapreduce 應用程式主控項資訊 API

MapReduce 應用程式主控項資訊資源提供有關該 MapReduce 應用程式主控項的整體資訊。這包括應用程式 ID、啟動時間、使用者、名稱等。

URI

以下兩個 URI 都會提供 MapReduce 應用程式主控項資訊，來自由 appid 值識別的應用程式 ID。

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

info 物件的元素

當您提出 MapReduce 應用程式主控項資訊的要求時，資訊會以 info 物件傳回。

項目 資料類型 說明
appId 字串 應用程式 ID
startedOn 長整數 應用程式啟動時間（自紀元以來的毫秒數）
name 字串 應用程式的名稱
user 字串 啟動應用程式的使用者的使用者名稱
elapsedTime 長整數 自應用程式啟動以來的時間（以毫秒為單位）

回應範例

JSON 回應

HTTP 要求

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

回應標頭

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

回應本文

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

XML 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>

任務 API

任務資源提供在這個應用程式主控項上執行的任務清單。另請參閱 任務 API，以取得任務物件的語法。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

jobs 物件的元素

當您提出任務清單的要求時，資訊會以任務物件的集合傳回。另請參閱 任務 API，以取得任務物件的語法。

項目 資料類型 說明
作業 作業物件陣列 (JSON)/零個或多個作業物件 (XML) 作業物件的集合

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs

回應標頭

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

回應本文

{
  "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 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>

作業 API

作業資源包含由這個應用程式主控程式啟動的特定作業資訊。某些欄位僅在使用者擁有權限時才能存取，視 ACL 設定而定。

URI

使用下列 URI 取得作業物件，針對由 jobid 值識別的作業。

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

作業 物件的元素

項目 資料類型 說明
id 字串 作業 ID
name 字串 作業名稱
user 字串 使用者名稱
狀態 字串 作業狀態，有效值為：NEW、INITED、RUNNING、SUCCEEDED、FAILED、KILL_WAIT、KILLED、ERROR
startTime 長整數 作業開始時間 (自紀元以來的毫秒數)
finishTime 長整數 作業完成時間 (自紀元以來的毫秒數)
elapsedTime 長整數 自作業開始以來的經過時間 (毫秒數)
mapsTotal int 總共的對應數量
mapsCompleted int 已完成的對應數量
reducesTotal int 總共的還原數量
reducesCompleted int 已完成的還原數量
diagnostics 字串 診斷訊息
uberized boolean 指示作業是否為 uber 作業，完全在應用程式主控程式中執行
mapsPending int 仍要執行的對應數量
mapsRunning int 正在執行的對應數量
reducesPending int 仍要執行的還原數量
reducesRunning int 正在執行的還原數量
newReduceAttempts int 新的還原嘗試數量
runningReduceAttempts int 正在執行的還原嘗試數量
failedReduceAttempts int 失敗的還原嘗試數量
killedReduceAttempts int 已終止的還原嘗試數量
successfulReduceAttempts int 成功的還原嘗試數量
newMapAttempts int 新的對應嘗試數量
runningMapAttempts int 正在執行的對應嘗試數量
failedMapAttempts int 失敗的對應嘗試數量
killedMapAttempts int 已中斷的映射嘗試次數
successfulMapAttempts int 成功的映射嘗試次數
acls acl 陣列 (json)/零個或多個 acl 物件 (xml) acl 物件集合

acls 物件的元素

項目 資料類型 說明
value 字串 acl 值
name 字串 acl 名稱

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>

作業嘗試 API

使用作業嘗試 API，您可以取得代表作業嘗試的資源集合。當您對此資源執行 GET 作業時，您會取得作業嘗試物件集合。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

jobAttempts 物件的元素

當您要求作業嘗試清單時，資訊會傳回作業嘗試物件陣列。

項目 資料類型 說明
jobAttempt 作業嘗試物件陣列 (JSON)/零個或多個作業嘗試物件 (XML) 作業嘗試物件集合

jobAttempt 物件的元素

項目 資料類型 說明
id 字串 作業嘗試 ID
nodeId 字串 嘗試執行節點的節點 ID
nodeHttpAddress 字串 嘗試執行節點的節點 HTTP 位址
logsLink 字串 作業嘗試記錄的 HTTP 連結
containerId 字串 作業嘗試容器的 ID
startTime 長整數 嘗試開始時間 (自紀元以來的毫秒數)

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/jobattempts

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

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

回應標頭

  HTTP/1.1 200 OK
  Content-Type: application/xml
  Content-Length: 498
  Server: Jetty(6.1.26)

回應本文

<?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>

作業計數器 API

使用作業計數器 API，您可以取得代表該作業所有計數器的資源集合。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

jobCounters 物件的元素

項目 資料類型 說明
id 字串 作業 ID
counterGroup 計數器群組物件陣列 (JSON)/零個或多個計數器群組物件 (XML) 計數器群組物件集合

counterGroup 物件的元素

項目 資料類型 說明
counterGroupName 字串 計數器群組名稱
counter 計數器物件陣列 (JSON)/零個或多個計數器物件 (XML) 計數器物件集合

counter 物件的元素

項目 資料類型 說明
name 字串 計數器名稱
reduceCounterValue 長整數 縮減作業的計數器值
mapCounterValue 長整數 對應作業的計數器值
totalCounterValue 長整數 所有作業的計數器值

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/counters

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>

作業設定檔 API

作業設定檔資源包含此作業的作業設定檔資訊。

URI

使用下列 URI 從由 jobid 值識別的作業中取得作業設定檔資訊。

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

conf 物件的元素

項目 資料類型 說明
路徑 字串 作業設定檔檔案的路徑
屬性 設定檔屬性陣列 (JSON)/零個或多個屬性物件 (XML) 屬性物件集合

屬性 物件的元素

項目 資料類型 說明
name 字串 設定檔屬性的名稱
value 字串 設定檔屬性的值
來源 字串 此設定檔物件的來源位置。如果有多個來源，則會顯示歷史記錄，清單中最後一個為最新來源。

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/conf

回應標頭

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

回應本文

這是輸出的一個小片段，因為輸出非常大。實際輸出包含作業設定檔檔案中的每個屬性。

{
   "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" : ["programmatically", "job.xml"]
         },
         {
            "value" : "/home/hadoop/tmp",
            "name" : "mapreduce.cluster.temp.dir"
            "source" : ["mapred-site.xml"]
         },
         ...
      ]
   }
}

XML 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>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>

作業 API

使用作業 API，您可以取得表示作業所有作業的資源集合。當您對此資源執行 GET 作業時，您會取得作業物件集合。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  • 類型 - 作業類型，有效值為 m 或 r。m 為對應作業，r 為縮減作業。

作業 物件的元素

當您要求作業清單時，資訊將會以作業物件陣列的形式傳回。另請參閱 作業 API 以取得作業物件的語法。

項目 資料類型 說明
作業 作業物件陣列 (JSON)/零個或多個作業物件 (XML) 作業物件集合

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1326232085508_0004/ws/v1/mapreduce/jobs/job_1326232085508_4_4/tasks

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

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

回應標頭

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

回應本文

<?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>

作業 API

作業資源包含作業中特定作業的資訊。

URI

使用下列 URI 從由 taskid 值識別的作業中取得作業物件。

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

task 物件的元素

項目 資料類型 說明
id 字串 工作 ID
狀態 字串 工作的狀態 - 有效值為：NEW、SCHEDULED、RUNNING、SUCCEEDED、FAILED、KILL_WAIT、KILLED
類型 字串 工作類型 - MAP 或 REDUCE
successfulAttempt 字串 最後一次成功嘗試的 ID
進度 浮點數 工作的進度，以百分比表示
startTime 長整數 工作開始的時間（自紀元以來的毫秒數）
finishTime 長整數 工作結束的時間（自紀元以來的毫秒數）
elapsedTime 長整數 自應用程式開始以來經過的時間（以毫秒為單位）

回應範例

JSON 回應

HTTP 要求

  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

回應標頭

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

回應本文

{
   "task" : {
      "progress" : 100,
      "elapsedTime" : 0,
      "state" : "RUNNING",
      "startTime" : 1326238777460,
      "id" : "task_1326232085508_4_4_r_0",
      "type" : "REDUCE",
      "successfulAttempt" : "",
      "finishTime" : 0
   }
}

XML 回應

HTTP 要求

  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

回應標頭

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

回應本文

<?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>

工作計數器 API

使用工作計數器 API，您可以物件化一個資源集合，代表該工作的計數器。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

jobTaskCounters 物件的元素

項目 資料類型 說明
id 字串 工作 ID
taskcounterGroup 計數器群組物件陣列 (JSON)/零個或多個計數器群組物件 (XML) 計數器群組物件集合

counterGroup 物件的元素

項目 資料類型 說明
counterGroupName 字串 計數器群組名稱
counter 計數器物件陣列 (JSON)/零個或多個計數器物件 (XML) 計數器物件集合

counter 物件的元素

項目 資料類型 說明
name 字串 計數器名稱
value 長整數 計數器的值

回應範例

JSON 回應

HTTP 要求

  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

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

  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

回應標頭

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

回應本文

<?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>

工作嘗試 API

使用工作嘗試 API，您可以取得一個資源集合，代表工作中的工作嘗試。當您對此資源執行 GET 作業時，您會取得一個工作嘗試物件集合。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

taskAttempts 物件的元素

當您要求工作嘗試清單時，資訊會以工作嘗試物件陣列的形式傳回。另請參閱 工作嘗試 API，以取得工作物件的語法。

項目 資料類型 說明
taskAttempt 工作嘗試物件陣列 (JSON)/零個或多個工作嘗試物件 (XML) 工作嘗試物件集合

回應範例

JSON 回應

HTTP 要求

  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

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

  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

回應標頭

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

回應本文

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<taskAttempts>
  <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>
</taskAttempts>

工作嘗試 API

工作嘗試資源包含工作中特定工作嘗試的資訊。

URI

使用下列 URI 從由 attemptid 值識別的工作中取得工作嘗試物件。

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

taskAttempt 物件的元素

項目 資料類型 說明
id 字串 工作 ID
機架 字串 機架
狀態 字串 工作嘗試的狀態 - 有效值為：NEW、UNASSIGNED、ASSIGNED、RUNNING、COMMIT_PENDING、SUCCESS_CONTAINER_CLEANUP、SUCCEEDED、FAIL_CONTAINER_CLEANUP、FAIL_TASK_CLEANUP、FAILED、KILL_CONTAINER_CLEANUP、KILL_TASK_CLEANUP、KILLED
類型 字串 工作的類型
assignedContainerId 字串 此嘗試被指定到的容器 ID
nodeHttpAddress 字串 此工作嘗試執行的節點的 HTTP 位址
diagnostics 字串 診斷訊息
進度 浮點數 工作嘗試的進度，以百分比表示
startTime 長整數 工作嘗試開始的時間（自紀元以來的毫秒數）
finishTime 長整數 工作嘗試結束的時間（自紀元以來的毫秒數）
elapsedTime 長整數 任務嘗試開始後經過的時間（以毫秒為單位）

若要減少任務嘗試，您還有下列欄位

項目 資料類型 說明
shuffleFinishTime 長整數 洗牌完成的時間（自紀元以來的毫秒數）
mergeFinishTime 長整數 合併完成的時間（自紀元以來的毫秒數）
elapsedShuffleTime 長整數 洗牌階段完成所需時間（減少任務開始與洗牌完成之間的毫秒數時間）
elapsedMergeTime 長整數 合併階段完成所需時間（洗牌完成與合併完成之間的毫秒數時間）
elapsedReduceTime 長整數 減少階段完成所需時間（合併完成與減少任務結束之間的毫秒數時間）

回應範例

JSON 回應

HTTP 要求

  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

回應標頭

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

回應本文

{
   "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 回應

HTTP 要求

  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

回應標頭

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

回應本文

<?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>

任務嘗試狀態 API

使用任務嘗試狀態 API，您可以查詢已提交任務嘗試的狀態，也可以透過修改執行中任務嘗試的狀態，並使用將狀態設定為「已終止」的 PUT 要求，終止執行中的任務嘗試。若要執行 PUT 作業，必須為 AM 網路服務設定驗證。此外，您必須有權限終止任務嘗試。目前您只能將狀態變更為「已終止」；嘗試將狀態變更為任何其他結果，將會產生 400 錯誤回應。未經授權和錯誤要求的錯誤範例如下。當您執行成功的 PUT 時，初始回應可能是 202。您可以重複 PUT 要求，直到您取得 200、使用 GET 方法查詢狀態，或查詢任務嘗試資訊並檢查狀態，以確認應用程式已終止。在下列範例中，我們重複 PUT 要求並取得 200 回應。

請注意，若要終止任務嘗試，您必須為 HTTP 介面設定驗證篩選器。此功能需要在 HttpServletRequest 中設定使用者名稱。如果未設定篩選器，回應將會是「未經授權」回應。

此功能目前處於 alpha 階段，未來可能會變更。

URI

支援的 HTTP 作業

  • GET
    • POST

支援的查詢參數

  None

jobTaskAttemptState 物件的元素

當您要求應用程式的狀態時，傳回的資訊有下列欄位

項目 資料類型 說明
狀態 字串 應用程式狀態 - 可以是「新增」、「開始」、「執行中」、「提交待處理」、「成功」、「失敗」、「已終止」之一

回應範例

JSON 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

回應標頭

HTTP/1.1 200 OK
Content-Type: application/json
Server: Jetty(6.1.26)
Content-Length: 20

回應本文

{
  "state":"STARTING"
}

HTTP 要求

  PUT http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

要求主體

{
  "state":"KILLED"
}

回應標頭

HTTP/1.1 200 OK
Content-Type: application/json
Server: Jetty(6.1.26)
Content-Length: 18

回應本文

{
  "state":"KILLED"
}

XML 回應

HTTP 要求

  GET http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

回應標頭

HTTP/1.1 200 OK
Content-Type: application/xml
Server: Jetty(6.1.26)
Content-Length: 121

回應本文

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptState>
  <state>STARTING</state>
</jobTaskAttemptState>

HTTP 要求

  PUT http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

要求主體

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptState>
  <state>KILLED</state>
</jobTaskAttemptState>

回應標頭

HTTP/1.1 200 OK
Content-Type: application/xml
Server: Jetty(6.1.26)
Content-Length: 121

回應本文

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptState>
  <state>KILLED</state>
</jobTaskAttemptState>

未經授權的錯誤回應

HTTP 要求

  PUT http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

要求主體

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptState>
  <state>KILLED</state>
</jobTaskAttemptState>

回應標頭

HTTP/1.1 403 Unauthorized
Content-Type: application/json
Server: Jetty(6.1.26)

錯誤要求的錯誤回應

HTTP 要求

  PUT http://proxy-http-address:port/proxy/application_1429692837321_0001/ws/v1/mapreduce/jobs/job_1429692837321_0001/tasks/task_1429692837321_0001_m_000000/attempts/attempt_1429692837321_0001_m_000000_0/state

要求主體

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptState>
  <state>RUNNING</state>
</jobTaskAttemptState>

回應標頭

HTTP/1.1 400
Content-Length: 295
Content-Type: application/xml
Server: Jetty(6.1.26)

回應本文

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<RemoteException>
  <exception>BadRequestException</exception>
  <message>java.lang.Exception: Only 'KILLED' is allowed as a target state.</message>
  <javaClassName>org.apache.hadoop.yarn.webapp.BadRequestException</javaClassName>
</RemoteException>

任務嘗試計數器 API

透過任務嘗試計數器 API，您可以物件化一組資源，這些資源代表該任務嘗試的所有計數器。

URI

支援的 HTTP 作業

  • GET

支援的查詢參數

  None

jobTaskAttemptCounters 物件的元素

項目 資料類型 說明
id 字串 任務嘗試 ID
taskAttemptcounterGroup 任務嘗試 counterGroup 物件陣列 (JSON)/零個或多個任務嘗試 counterGroup 物件 (XML) 一組任務嘗試 counter 群組物件

taskAttemptCounterGroup 物件的元素

項目 資料類型 說明
counterGroupName 字串 計數器群組名稱
counter 計數器物件陣列 (JSON)/零個或多個計數器物件 (XML) 計數器物件集合

counter 物件的元素

項目 資料類型 說明
name 字串 計數器名稱
value 長整數 計數器的值

回應範例

JSON 回應

HTTP 要求

  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

回應標頭

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

回應本文

{
   "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" : [
               {
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}

XML 回應

HTTP 要求

  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

回應標頭

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

回應本文

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<jobTaskAttemptCounters>
  <id>attempt_1326232085508_4_4_r_0_0</id>
  <taskAttemptCounterGroup>
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    <counter>
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    <counter>
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    <counter>
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    <counter>
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    <counter>
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</jobTaskAttemptCounters>