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CreateSparkSessionBatchSQL

最后更新时间:2024-08-08 15:32:08

    1. API Description

    Domain name for API request: dlc.tencentcloudapi.com.

    This API is used to submit a Spark SQL batch task to the job engine.

    A maximum of 30 requests can be initiated per second for this API.

    We recommend you to use API Explorer
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    2. Input Parameters

    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: CreateSparkSessionBatchSQL.
    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.
    DataEngineName Yes String The name of the engine for executing the Spark job.
    ExecuteSQL Yes String Run SQL. The base64 encoding is needed.
    DriverSize No String The driver size. Valid values: small (default, 1 CU), medium (2 CUs), large (4 CUs), and xlarge (8 CUs).
    ExecutorSize No String The executor size. Valid values: small (default, 1 CU), medium (2 CUs), large (4 CUs), and xlarge (8 CUs).
    ExecutorNumbers No Integer The executor count, which defaults to 1.
    ExecutorMaxNumbers No Integer The maximum executor count, which defaults to 1. This parameter applies if the "Dynamic" mode is selected. If the "Dynamic" mode is not selected, the value of this parameter is the same as that of ExecutorNumbers.
    TimeoutInSecond No Integer The session timeout period in seconds. Default value: 3600
    SessionId No String The unique ID of a session. If this parameter is specified, the task will be run using the specified session.
    SessionName No String The name of the session to create.
    Arguments.N No Array of KVPair The session configurations. Valid values: 1.dlc.eni for user-defined ENI gateway information;
    2.dlc.role.arn for user-defined roleArn configurations;
    and 3.dlc.sql.set.config for user-defined cluster configurations.
    IsInherit No Integer Whether to inherit the resource configuration of clusters; 0: not inherit (by default); 1: inherit clusters.
    CustomKey No String User-defined primary key, and it should be unique.

    3. Output Parameters

    Parameter Name Type Description
    BatchId String The unique identifier of a batch task.
    Statements Array of StatementInformation Statement task list information
    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 Creating and Executing Spark SQL Batch Tasks

    This API (CreateSparkSessionBatchSQL) is used to submit Spark SQL batch tasks to the Spark job engine.

    Input Example

    POST / HTTP/1.1
    Host: dlc.tencentcloudapi.com
    Content-Type: application/json
    X-TC-Action: CreateSparkSessionBatchSQL
    <Common request parameters>
    
    {
        "DataEngineName": "data_engine_1",
        "ExecuteSQL": "c2VsZWN0IDE=",
        "DriverSize": "small",
        "ExecutorSize": "small",
        "ExecutorNumbers": 1,
        "ExecutorMaxNumbers": 1,
        "TimeoutInSecond": 2,
        "SessionId": "",
        "SessionName": "livy-session-123",
        "Arguments": [
            {
                "Value": "eni",
                "Key": "test_eni"
            }
        ]
    }
    

    Output Example

    {
        "Response": {
            "RequestId": "b8sd7dd7-ekd4-4e5e-993e-e5db64fa21c1",
            "BatchId": "d3018ad4-9a7e-4f64-a3f4-f38507c69742"
        }
    }
    

    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.
    FailedOperation.NoPermissionToUseTheDataEngine The user does not have permission to specify the engine.
    InternalError An internal error occurred.
    InternalError.InternalSystemException The business system is abnormal. Please try again or submit a ticket to contact us.
    InvalidParameter The parameter is incorrect.
    InvalidParameter.BatchSQLCustomKeyNotUnique The custom primary key of the specified interactive SQL task is not unique.
    InvalidParameter.DataEngineOnlySupportSparkBatch The current task only supports the Spark batch job processing engine.
    InvalidParameter.ImageEngineTypeNotMatch The specified engine type does not match. Currently, only SparkSQL, PrestoSQL, and SparkBatch are supported.
    InvalidParameter.ImageIsPublicNotMatch The specified isPublic does not match. Currently, it only supports 1: public and 2: private.
    InvalidParameter.ImageParameterSubmitMethodNotMatch The specified cluster image ParameterSubmitMethod does not match. Currently, only User and BackGround are supported.
    InvalidParameter.ImageParameterTypeNotMatch The specified cluster image ParameterType does not match. Currently, it only supports 1: session; 2: common; 3: cluster.
    InvalidParameter.ImageStateNotMatch The specified state does not match. Currently, it only supports 1: initializing, 2: online, 3: offline.
    InvalidParameter.InvalidDriverSize The current DriverSize specification only supports small/medium/large/xlarge/m.small/m.medium/m.large/m.xlarge.
    InvalidParameter.InvalidDynamicAllocationMaxExecutors The specified dynamic number of executors must be the current maximum value.
    InvalidParameter.InvalidExecutorSize The current ExecutorSize specification only supports small/medium/large/xlarge/m.small/m.medium/m.large/m.xlarge.
    InvalidParameter.InvalidFileCompressionFormat The specified file compression format is not compliant. Currently, only .tar.gz/.tar/.tgz is supported.
    InvalidParameter.InvalidFilePathFormat The specified file path format is not compliant. Currently, only cosn:// or lakefs:// is supported.
    InvalidParameter.InvalidSQL SQL parsing failed.
    InvalidParameter.InvalidSessionKindType Currently, types supported by Session only include spark/pyspark/sparkr/sql.
    InvalidParameter.InvalidStatementKindType Currently, Statement only supports the type of sql.
    InvalidParameter.InvalidWhiteListKey There is an error in getting an allowlist. Please try again or submit a ticket to contact us.
    InvalidParameter.NumberOfSQLExceedsTheLimit The number of SQL statements submitted is limited to 1~50.
    InvalidParameter.ParameterNotFoundOrBeNone The parameter is not found or empty.
    InvalidParameter.SQLBase64DecodeFail Base64 parsing of the SQL script failed.
    InvalidParameter.SQLParameterPreprocessingFailed SQL parameter preprocessing failed.
    ResourceNotFound The resource does not exist.
    ResourceNotFound.DataEngineNotFound The specified engine does not exist.
    ResourceNotFound.DataEngineNotRunning The specified engine is not running.
    ResourceNotFound.DataEngineNotUnique The specified engine already exists.
    ResourceNotFound.ImageSessionConfigNotFound The specified cluster image Session configuration does not exist.
    ResourceNotFound.ImageSessionConfigNotUnique The specified cluster image Session configuration already exists.
    ResourceNotFound.ImageVersionNotFound The specified cluster image version does not exist.
    ResourceNotFound.ResultSavePathNotFound Obtaining the result storage path failed. Please go to the Console -> Data Exploration page for settings.
    ResourceNotFound.RoleArnResourceNotFound The specified RoleArn does not exist.
    ResourceNotFound.SessionInsufficientResources There are currently no resources to create a session. Please try again later or use an annual or monthly subscription cluster.
    ResourceNotFound.SessionNotFound The session does not exist.
    ResourceNotFound.SessionStateDead The session has expired.
    ResourceNotFound.ShuffleDirNotFound The Spark Shuffle storage path cannot be found. Please go to the Console -> Data Exploration page -> Storage Configuration to set it.
    ResourceNotFound.WarehouseDirNotFound The Warehouse storage path cannot be found. Please go to the Console->Data Exploration page->Storage Configuration to set it.
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