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    MaxCompute:GetJobInfo - 查看作业的基础信息

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    MaxCompute:GetJobInfo - 查看作业的基础信息

    Last Updated:Aug 20, 2026

    查看单个作业的基础信息。

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    RAM authorization

    The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

    • Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.

    • API: The API that you can call to perform the action.

    • Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.

    • Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.

      • For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.

      • For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.

    • Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.

    • Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

    Action

    Access level

    Resource type

    Condition key

    Dependent action

    odps:GetJobInfo

    get

    *Job

    acs:odps:{#regionId}:{#accountId}:job/{#instanceId}

    		 None None

    Request syntax

    GET /api/v1/jobs/{instanceId}/info HTTP/1.1

    Path Parameters

    Parameter

    Type

    Required

    Description

    Example
    instanceId

    string

    Yes

    作业 ID。

    20230410****60gg

    Request parameters

    Parameter

    Type

    Required

    Description

    Example

    No parameters required.

    Response elements

    Element

    Type

    Description

    Example

    object

    PopResult

    requestId

    string

    请求 ID。

    0be3e0bb16654558425251398e27a9
    httpCode

    integer

    HTTP 状态码。

    • 1xx：信息响应 - 请求已接收，正在处理中。

    • 2xx：成功 - 请求动作已被服务端成功接收、理解并接受。

    • 3xx：重定向 - 请求被重定向，采取进一步行动以完成请求。

    • 4xx：客户端错误 - 请求包含错误请求参、语法或特定请求条件无法满足。

    • 5xx：服务端错误 - 服务器由于其他原因无法满足请求。

    200
    errorCode

    string

    错误码。

    OBJECT_NOT_EXIST
    errorMsg

    string

    错误描述信息。

    This object does not exist.
    data

    object

    返回结果。

    tenantId

    string

    租户 ID。

    4784****5249
    region

    string

    地域 ID。

    cn-shanghai
    instanceId

    string

    作业 ID。

    20230410****60gg
    jobOwner

    string

    作业 Owner。

    ALIYUN$7632***@aliyun.com

    project

    string

    项目名称。

    dp_cdm_prod
    jobType

    string

    作业类型。

    SQL

    priority

    integer

    作业优先级。

    1
    status

    string

    作业状态。

    running
    quotaNickname

    string

    作业使用的计算配额（Quota）昵称。

    os_bigdata
    quotaType

    string

    Quota 类型。

    subscription
    cuUsage

    integer

    作业消耗的 CU 时，仅运行结束的作业有此值。

    10
    memoryUsage

    integer

    作业消耗的内存时，仅运行结束的作业有此值。

    40
    submittedAtTime

    integer

    作业提交时间。

    1672112013
    waitingTime

    integer

    等待时长，作业从提交时间到开始运行时间的时长。

    100
    runningAtTime

    integer

    作业开始运行时间，特指作业获取第一份计算资源的时间。对于运行时间过短或不消耗计算资源（如 DDL 语句）的作业，以作业提交时间替代。

    1672112113
    runningTime

    integer

    运行时长，作业从开始运行时间到结束运行时间的时长。

    800
    endAtTime

    integer

    作业运行结束时间。

    1672112913
    totalTime

    integer

    总运行时长，作业从提交时间到结束时间总时长。

    900
    signature

    string

    SQL 作业签名。可通过此签名查找 SQL 每次执行的 Instances。

    20c1efb4a7caca1865f4aa784bb500efae74af04
    extPlantFrom

    string

    上游平台。

    platform_3
    extNodeId

    string

    上游节点 ID。

    node_4
    extNodeOnDuty

    string

    任务负责人账号 ID。

    duty_2
    inputBytes

    number

    作业扫描量

    1234
    sceneResults

    array<object>

    智能诊断结果。

    array<object>

    智能诊断结果。

    sceneTag

    string

    智能诊断结果标签。

    SubscriptionLackResource
    scene

    string

    智能诊断结果场景。

    LackResource
    type

    string

    智能诊断结果类型。

    warning
    summary

    string

    智能诊断结果简述。

    Insufficient computing resources available for the job. Click to view details.
    description

    string

    智能诊断结果详情。

    This job uses annual and monthly computing resources. It may be that the job is waiting for resources due to the large amount of overall job running data, many resources requested, and low job priority. Please go to Resource Consumption to view the specific situation. You can also go to Cost Optimization to see if you need to adjust resource configuration.
    params

    object

    数据倾斜、数据膨胀节点信息。只有当诊断场景为数据倾斜、数据膨胀时返回此参数。

    string

    数据倾斜、数据膨胀节点信息。

    "jobinsight_data_skew_node": "Worker M1#10000_0"

    jobSubStatusList

    array<object>

    作业生命周期的子状态列表。

    object

    作业子状态信息。

    code

    integer

    子状态的编码。

    1010
    startTime

    string

    子状态的开始时间。

    2025-03-05 00:04:15.717364 +0800
    description

    string

    子状态的描述。

    Waiting for scheduling

    Examples

    Success response

    JSON format

    {
  "requestId": "0be3e0bb16654558425251398e27a9",
  "httpCode": 200,
  "errorCode": "OBJECT_NOT_EXIST",
  "errorMsg": "This object does not exist.",
  "data": {
    "tenantId": "4784****5249",
    "region": "cn-shanghai",
    "instanceId": "20230410****60gg",
    "jobOwner": "ALIYUN$7632***@aliyun.com\n",
    "project": "dp_cdm_prod",
    "jobType": "SQL\n",
    "priority": 1,
    "status": "running",
    "quotaNickname": "os_bigdata",
    "quotaType": "subscription",
    "cuUsage": 10,
    "memoryUsage": 40,
    "submittedAtTime": 1672112013,
    "waitingTime": 100,
    "runningAtTime": 1672112113,
    "runningTime": 800,
    "endAtTime": 1672112913,
    "totalTime": 900,
    "signature": "20c1efb4a7caca1865f4aa784bb500efae74af04",
    "extPlantFrom": "platform_3",
    "extNodeId": "node_4",
    "extNodeOnDuty": "duty_2",
    "inputBytes": 1234,
    "sceneResults": [
      {
        "sceneTag": "SubscriptionLackResource",
        "scene": "LackResource",
        "type": "warning",
        "summary": "\t\nInsufficient computing resources available for the job. Click to view details.",
        "description": "This job uses annual and monthly computing resources. It may be that the job is waiting for resources due to the large amount of overall job running data, many resources requested, and low job priority. Please go to Resource Consumption to view the specific situation. You can also go to Cost Optimization to see if you need to adjust resource configuration.",
        "params": {
          "key": "\"jobinsight_data_skew_node\": \"Worker M1#10000_0\"\n"
        }
      }
    ],
    "jobSubStatusList": [
      {
        "code": 1010,
        "startTime": "2025-03-05 00:04:15.717364 +0800",
        "description": "Waiting for scheduling"
      }
    ]
  }
}

    Error codes

    See Error Codes for a complete list.

    Release notes

    See Release Notes for a complete list.