1. API Description
Domain name for API request: dlc.intl.tencentcloudapi.com.
This API is used to query the list of running task instances of a Spark job.
A maximum of 40 requests can be initiated per second for this API.
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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: DescribeSparkAppTasks. |
| Version |
Yes |
String |
Common Params. The value used for this API: 2021-01-25. |
| Region |
Yes |
String |
Common Params. For more information, please see the list of regions supported by the product. |
| JobId |
Yes |
String |
Spark job ID |
| Offset |
No |
Integer |
Paginated query offset |
| Limit |
No |
Integer |
Paginated query limit |
| TaskId |
No |
String |
Execution instance ID |
| StartTime |
No |
String |
The update start time in the format of yyyy-MM-dd HH:mm:ss. |
| EndTime |
No |
String |
The update end time in the format of yyyy-MM-dd HH:mm:ss. |
| Filters.N |
No |
Array of Filter |
Filter by this parameter, which can be task-state. |
3. Output Parameters
| Parameter Name |
Type |
Description |
| Tasks |
TaskResponseInfo |
Task result (this field has been disused) Note: This field may return null, indicating that no valid values can be obtained. |
| TotalCount |
Integer |
Total number of tasks |
| SparkAppTasks |
Array of TaskResponseInfo |
List of task results Note: This field may return null, indicating that no valid values can be obtained. |
| 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. |
4. Example
Example1 Querying the Running Task List of a Spark Job
This example shows you how to query the list of running tasks of a Spark job.
POST / HTTP/1.1
Host: dlc.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action:DescribeSparkAppTasks
<Common request parameters>
{
"JobId": "batch_133e005d-6486-4517-8ea7-b6b97b183a6b",
"Offset": 0,
"Limit": 10
}
Output Example
{
"Response": {
"Tasks": {
"DatabaseName": "abc",
"DataAmount": 0,
"Id": "abc",
"UsedTime": 0,
"OutputPath": "abc",
"CreateTime": "abc",
"State": 0,
"SQLType": "abc",
"SQL": "abc",
"ResultExpired": true,
"RowAffectInfo": "abc",
"DataSet": "abc",
"Error": "abc",
"Percentage": 0,
"OutputMessage": "abc",
"TaskType": "abc",
"ProgressDetail": "abc",
"UpdateTime": "abc",
"DataEngineId": "abc",
"OperateUin": "abc",
"DataEngineName": "abc",
"InputType": "abc",
"InputConf": "abc",
"DataNumber": 0,
"CanDownload": true,
"UserAlias": "abc",
"SparkJobName": "abc",
"SparkJobId": "abc",
"SparkJobFile": "abc",
"UiUrl": "abc",
"TotalTime": 0,
"CmdArgs": "abc",
"ImageVersion": "abc",
"DriverSize": "abc",
"ExecutorSize": "abc",
"ExecutorNums": 1,
"ExecutorMaxNumbers": 1
},
"TotalCount": 0,
"SparkAppTasks": [
{
"DatabaseName": "abc",
"DataAmount": 0,
"Id": "abc",
"UsedTime": 0,
"OutputPath": "abc",
"CreateTime": "abc",
"State": 0,
"SQLType": "abc",
"SQL": "abc",
"ResultExpired": true,
"RowAffectInfo": "abc",
"DataSet": "abc",
"Error": "abc",
"Percentage": 0,
"OutputMessage": "abc",
"TaskType": "abc",
"ProgressDetail": "abc",
"UpdateTime": "abc",
"DataEngineId": "abc",
"OperateUin": "abc",
"DataEngineName": "abc",
"InputType": "abc",
"InputConf": "abc",
"DataNumber": 0,
"CanDownload": true,
"UserAlias": "abc",
"SparkJobName": "abc",
"SparkJobId": "abc",
"SparkJobFile": "abc",
"UiUrl": "abc",
"TotalTime": 0,
"CmdArgs": "abc",
"ImageVersion": "abc",
"DriverSize": "abc",
"ExecutorSize": "abc",
"ExecutorNums": 1,
"ExecutorMaxNumbers": 1
}
],
"RequestId": "abc"
}
}
5. Developer Resources
SDK
TencentCloud API 3.0 integrates SDKs that support various programming languages to make it easier for you to call APIs.
Command Line Interface
6. Error Code
The following only lists the error codes related to the API business logic. For other error codes, see Common Error Codes.
| Error Code |
Description |
| FailedOperation |
The operation failed. |
| InternalError.InternalSystemException |
The business system is abnormal. Please try again or submit a ticket to contact us. |
| InvalidParameter.FiltersValuesNumberOutOfLimit |
The number of specified Filter.Values parameters exceeds the limit. Currently, it should be less than or equal to 50. |
| InvalidParameter.InvalidTimeFormat |
The specified time format is not compliant. Currently, only YYYY-mm-dd HH:MM:SS is supported. |
| InvalidParameter.InvalidTimeParameter |
The date parameters are abnormal. For example, the end time is earlier than the start time. |
| InvalidParameter.ParameterNotFoundOrBeNone |
The parameter is not found or empty. |
| InvalidParameter.SparkJobFiltersKeyTypeNotMath |
The specified Spark task Filter.Key does not match. Currently, only spark-app-type/user-name/spark-job-name/spark-job-id/key-word is supported. |
| InvalidParameter.SparkJobNotFound |
The specified Spark task does not exist. |
| InvalidParameter.SparkJobNotUnique |
The specified Spark task already exists. |
| ResourceUnavailable.WhiteListFunction |
Currently, the allowlist function is available. Please contact us to activate it. |