CancelSparkWarehouseBatchSQL - AnalyticDB - Alibaba Cloud Documentation Center

Cancels the execution of a Spark SQL statement.

Debugging

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Debug

Authorization information

The following table shows the authorization information corresponding to the API. The authorization information can be used in the Action policy element to grant a RAM user or RAM role the permissions to call this API operation. Description:

Operation: the value that you can use in the Action element to specify the operation on a resource.
Access level: the access level of each operation. The levels are read, write, and list.
Resource type: the type of the resource on which you can authorize the RAM user or the RAM role to perform the operation. Take note of the following items:
- For mandatory resource types, indicate with a prefix of * .
- If the permissions cannot be granted at the resource level, All Resources is used in the Resource type column of the operation.
Condition Key: the condition key that is defined by the cloud service.
Associated operation: other operations that the RAM user or the RAM role must have permissions to perform to complete the operation. To complete the operation, the RAM user or the RAM role must have the permissions to perform the associated operations.

Operation	Access level	Resource type	Condition key	Associated operation
adb:CancelSparkWarehouseBatchSQL	update	All Resources ``	none	none

Request parameters

Parameter	Type	Required	Description	Example
QueryId	string	Yes	The query ID of the Spark SQL statement.	sq202501011001s****
DBClusterId	string	No	The cluster ID.	amv-uf6485635f***
Agency	string	No	The name of the client, which can be up to 16 characters in length. Specify a descriptive name that makes it easy to identify.	DMS

Response parameters

Parameter	Type	Description	Example
	object	The response parameters.
RequestId	string	The request ID.	771C5FAA-530F-52F7-B84D-EBAD45***
Data	SparkBatchSQL	The returned data.	123

Examples

Sample success responses

JSONformat

{
  "RequestId": "771C5FAA-530F-52F7-B84D-EBAD45***",
  "Data": {
    "QueryId": "sq172352176****",
    "QueryState": "RUNNING",
    "QuerySubmissionTime": 1723521767000,
    "QueryStartTime": 1723521767000,
    "QueryEndTime": 1723521767000,
    "Schema": "default",
    "Uid": 0,
    "DBClusterId": "amv-bp17s73f016****",
    "ResourceGroupName": "spark_rg",
    "Query": "SELECT * FROM db.tb",
    "Statements": [
      {
        "ResultUri": "oss://yourbucket/result.json",
        "EndTime": 1723521767000,
        "AppId": "s20240122jsdx****",
        "StatementId": "sq1723521767****-0001",
        "State": "RUNNING",
        "StartTime": 1723521767000,
        "Error": "table is not found",
        "Code": "SELECT 100",
        "Result": "+---+-----+\n|age| name|\n+---+-----+\n| 14|  Tom|\n| 23|Alice|\n+---+-----+"
      }
    ],
    "ErrMessage": "schema is not found"
  }
}

Error codes

HTTP status code	Error code	Error message	Description
400	Spark.SQL.NotFoundExecutableSQLError	No executable statements are submitted. Please check the input SQL.	-
400	Spark.SQL.NotFoundExecutableSQLError	The execution part is not included in the current submitted SQL, please check the input SQL.	-
400	Spark.SQL.BlankError	Input sql can not be blank string.	-
400	Spark.InvalidParameter	Invalid parameter value: %s	Incorrect input parameter:%s.
400	Spark.InvalidState	The object of the operation is in an invalid state: %s	The operation object is invalid.
400	Spark.InvalidState	The object of the operation is in an invalid state: %s.	The operand is in non-legal state %s.
404	Spark.App.NotFound	The Spark application %s is not found.	-
404	Spark.ObjectNotFound	The object is not found. More information: %s	-
500	Spark.ServerError	The Spark control component system encountered an error, please create a ticket to solve the problem or concat the supported engineer on duty. Error message: %s	An error occurred on the Spark control component system. Submit a ticket or contact technical support.

For a list of error codes, visit the Service error codes.