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E-MapReduce:ListDoctorReports

Last Updated:Mar 27, 2026

Obtains the overall analysis result reports of E-MapReduce (EMR) Doctor at a time.

Operation description

list all reports analysis by emr doctor

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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

emr:ListDoctorReports

list

*All Resource

*

None None

Request parameters

Parameter

Type

Required

Description

Example

RegionId

string

Yes

The region ID.

cn-hangzhou

ClusterId

string

Yes

The cluster ID.

c-b933c5aac8fe****

NextToken

string

No

The pagination token that is used in the request to retrieve a new page of results.

DD6B1B2A-5837-5237-ABE4-FF0C89568980

MaxResults

integer

No

The number of entries to return on each page.

20

Response elements

Element

Type

Description

Example

object

The response parameters.

Data

array<object>

The reports.

array<object>

DateTime

string

The date on which the report was generated.

2023-06-29

ComponentTypes

array

The component types.

Valid values:

  • compute

  • hive

  • hdfs

  • yarn

  • oss

  • hbase

Valid values:

  • compute :

    compute

  • hive :

    hive

  • hdfs :

    hdfs

  • yarn :

    yarn

  • oss :

    oss

  • hbase :

    hbase

null

string

The type of the component. Valid values:

  • compute

  • hive

  • hdfs

  • yarn

  • oss

  • hbase

compute

SummaryReport

object

The summary of the report.

Score

integer

The score.

88

Summary

string

The summary of the report.

[Compute Check] Compute health score is 88, health status is good, keep it up

Most tasks in the cluster are in a healthy state

Cluster memory utilization is: 47.8%, which is low

Suggestion

string

The optimization suggestion.

Compute health score is 88, the cluster is in a healthy state, keep it up

  • Compute task scan
    • Scanned 1518 compute tasks in the cluster, including 209 tasks in an unhealthy state ,596 tasks in a sub-healthy state ,713 tasks in a healthy state.
      Details:
    •        1518 Tez tasks with a weighted average score of 88, memory usage accounts for 100.0% of the cluster, CPU usage accounts for 100.0% of the cluster, including 209 unhealthy tasks and 596 sub-healthy tasks;
      Click View Details in the task detail list below to view specific issues and solutions. The Low-score Task Memory Time (GB*Sec) Top 20 table is sorted by memory time usage. Since large tasks may have a greater impact on the overall cluster, prioritize them.
  • Low memory utilization
    • The overall cluster memory utilization is 47.8%, which is low. Computing resources are wasted. Prioritize optimizing TOP tasks with high memory time usage but low memory utilization.
    • Among them, the average memory utilization of Tez jobs is 47.8%

RequestId

string

The request ID.

DD6B1B2A-5837-5237-ABE4-FF0C8944****

NextToken

string

A pagination token.

DD6B1B2A-5837-5237-ABE4-FF0C89568980

MaxResults

integer

The maximum number of entries returned.

20

TotalCount

integer

The total number of entries returned.

200

Examples

Success response

JSON format

{
  "Data": [
    {
      "DateTime": "2023-06-29",
      "ComponentTypes": [
        "compute"
      ],
      "SummaryReport": {
        "Score": 88,
        "Summary": " [Compute Check] Compute health score is 88, health status is good, keep it up 
Most tasks in the cluster are in a healthy state 
Cluster memory utilization is: 47.8%, which is low ",
        "Suggestion": " Compute health score is 88, the cluster is in a healthy state, keep it up 
Compute task scan
Scanned 1518 compute tasks in the cluster, including 209 tasks in an unhealthy state ,596 tasks in a sub-healthy state ,713 tasks in a healthy state. Details:
       1518 Tez tasks with a weighted average score of 88, memory usage accounts for 100.0% of the cluster, CPU usage accounts for 100.0% of the cluster, including 209 unhealthy tasks and 596 sub-healthy tasks;Click View Details in the task detail list below to view specific issues and solutions. The Low-score Task Memory Time (GB*Sec) Top 20 table is sorted by memory time usage. Since large tasks may have a greater impact on the overall cluster, prioritize them.
Low memory utilization
The overall cluster memory utilization is 47.8%, which is low. Computing resources are wasted. Prioritize optimizing TOP tasks with high memory time usage but low memory utilization.
Among them, the average memory utilization of Tez jobs is 47.8% "
      }
    }
  ],
  "RequestId": "DD6B1B2A-5837-5237-ABE4-FF0C8944****",
  "NextToken": "DD6B1B2A-5837-5237-ABE4-FF0C89568980",
  "MaxResults": 20,
  "TotalCount": 200
}

Error codes

HTTP status code

Error code

Error message

Description

400 ConflictParameters Parameters that must not be used together. %s
400 IncompleteSignature The request signature is invalid.
400 InvalidAction The action %s requested is invalid.
400 InvalidParameter The specified parameter %s is not valid.
400 InvalidParameterValue The input parameter %s is invalid or out of range.
400 MissingAction The action %s requested is missing.
400 MissingParameter The input parameter %s that is mandatory for processing this request is not supplied.
400 NotAuthorized You do not have permission to perform this action. %s
400 ThrottlingException The request was denied due to request throttling. %s
500 InternalError The request processing has failed due to some unknown error, exception or failure.
404 ResourceNotFound The resource not found by %s.
503 ServiceFailure The request has failed due to a temporary failure of %s service.
503 ServiceUnavailable The request has failed due to a temporary failure of the server.

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.