Domain name for API request: emr.intl.tencentcloudapi.com.
This API is used to query the global configuration of YARN resource scheduling.
A maximum of 20 requests can be initiated per second for this API.
The following request parameter list only provides API request parameters and some common parameters. For the complete common parameter list, see Common Request Parameters.
| Parameter Name | Required | Type | Description |
|---|---|---|---|
| Action | Yes | String | Common Params. The value used for this API: DescribeGlobalConfig. |
| Version | Yes | String | Common Params. The value used for this API: 2019-01-03. |
| Region | Yes | String | Common Params. For more information, please see the list of regions supported by the product. |
| InstanceId | Yes | String | English ID of the EMR cluster. |
| Parameter Name | Type | Description |
|---|---|---|
| EnableResourceSchedule | Boolean | Whether the resource scheduling feature is enabled. |
| ActiveScheduler | String | Currently effective resource scheduler. |
| CapacityGlobalConfig | CapacityGlobalConfig | Information of the fair scheduler. |
| FairGlobalConfig | FairGlobalConfig | Information of the capacity scheduler. |
| Scheduler | String | Latest resource scheduler. |
| RequestId | String | The unique request ID, generated by the server, will be returned for every request (if the request fails to reach the server for other reasons, the request will not obtain a RequestId). RequestId is required for locating a problem. |
POST / HTTP/1.1
Host: emr.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGlobalConfig
<Common request parameters>
{
"InstanceId": "emr-xxx"
}{
"Response": {
"ActiveScheduler": "fair",
"CapacityGlobalConfig": {
"DefaultSettings": [
{
"Desc": "Specifies the number of times scheduling can be delayed to ensure task localization. If the value is -1, delayed scheduling is disabled.",
"Key": "yarn.scheduler.capacity.node-locality-delay",
"Name": "node-locality-delay",
"Prompt": "Enter -1, 0, or a positive integer.",
"Value": null
},
{
"Desc": "Specifies whether to allocate multiple containers in a single NodeManager heartbeat. The default value is true. ResourceManager restart is required.",
"Key": "yarn.scheduler.capacity.per-node-heartbeat.multiple-assignments-enabled",
"Name": "multiple-assignments-enabled",
"Prompt": "Enter true or false.",
"Value": null
},
{
"Desc": "Maximum number of containers that can be allocated in a single NodeManager heartbeat if multiple-assignments-enabled is true. ResourceManager restart is required.",
"Key": "yarn.scheduler.capacity.per-node-heartbeat.maximum-container-assignments",
"Name": "maximum-container-assignments",
"Prompt": "Enter -1 or a positive integer.",
"Value": null
},
{
"Desc": "ResourceCalculator implementation used to compare resources in the scheduler. The default org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator uses only memory, while org.apache.hadoop.yarn.util.resource.DominantResourceCalculator uses multidimensional resources such as memory and CPU. ResourceManager restart is required.",
"Key": "yarn.scheduler.capacity.resource-calculator",
"Name": "resource-calculator",
"Prompt": "Refer to the description for input.",
"Value": null
}
],
"EnableLabel": false,
"LabelDir": null,
"QueueMappingOverride": null
},
"EnableResourceSchedule": true,
"FairGlobalConfig": {
"UserMaxAppsDefault": null
},
"RequestId": "37bd53ed-7516-4a36-988e-e4afeb731df1",
"Scheduler": "fair"
}
}TencentCloud API 3.0 integrates SDKs that support various programming languages to make it easier for you to call APIs.
The following only lists the error codes related to the API business logic. For other error codes, see Common Error Codes.
| Error Code | Description |
|---|---|
| InternalError | Internal error. |
| InternalError.CamCgwError | Internal service call exception. |
| InternalError.WoodServerError | Internal service call exception. |
| InvalidParameter | Parameter error. |
| InvalidParameter.InvalidInstanceName | Invalid cluster name. |
| ResourceNotFound.InstanceNotFound | The instance cannot be found. |
Esta página foi útil?
Você também pode entrar em contato com a Equipe de vendas ou Enviar um tíquete em caso de ajuda.
comentários