tencent cloud

Data Lake Compute

製品概要
プロダクト概要
製品の強み
適用シーン
購入ガイド
課金概要
返金説明
支払い期限切れ説明
設定調整費用の説明
クイックスタート
新規ユーザー開通フルプロセス
DLC データインポートガイド
DLCデータ分析の1分間入門
DLC権限管理の1分間入門
パーティションテーブル1分間入門
データ最適化をオンにする
クロスソース分析 EMR Hive データ
標準エンジン構成ガイド
操作ガイド
コンソール操作紹介
開発ガイド
実行環境
SparkJar ジョブ開発ガイド
PySparkジョブ開発ガイド
「クエリパフォーマンス最適化ガイド」
UDF 関数開発ガイド
システム制約
クライアントアクセス
JDBCアクセス
TDLC コマンドラインツールにアクセス
サードパーティソフトウェア連携
Python にアクセス
実践チュートリアル
DLC を Power BI に接続
テーブル作成の実践
Apache Airflowを使用してDLCエンジンのタスクをスケジュールして送信する
StarRocks は DLC 内部ストレージを直接クエリします
Spark の計算コスト最適化プラクティス
DATA + AI
ロールSSOを使用してDLCにアクセスする
SQL構文
SuperSQL構文
標準 Spark 構文概要
標準 Presto 構文の概要
予約語
API Documentation
History
Introduction
API Category
Making API Requests
Data Table APIs
Task APIs
Metadata APIs
Service Configuration APIs
Permission Management APIs
Database APIs
Data Source Connection APIs
Data Optimization APIs
Data Engine APIs
Resource Group for the Standard Engine APIs
Data Types
Error Codes
一般クラスリファレンス
エラーコード
クォータと制限
サードパーティソフトウェアでDLCに接続する操作ガイド
よくあるご質問
権限に関するよくあるご質問
エンジン類のよくある質問
機能に関するよくあるご質問
Sparkジョブクラスに関するよくある質問
DLC ポリシー
プライバシーポリシー
データプライバシーとセキュリティ契約
お問い合わせ

CreateSparkApp

フォーカスモード
フォントサイズ
最終更新日: 2025-11-13 20:53:25

1. API Description

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

This API is used to create a Spark job.

A maximum of 20 requests can be initiated per second for this API.

We recommend you to use API Explorer
Try it
API Explorer provides a range of capabilities, including online call, signature authentication, SDK code generation, and API quick search. It enables you to view the request, response, and auto-generated examples.

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: CreateSparkApp.
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.
AppName Yes String The Spark job name.
AppType Yes Integer The Spark job type. Valid values: 1 for Spark JAR job and 2 for Spark streaming job.
DataEngine Yes String The data engine executing the Spark job.
AppFile Yes String The path of the Spark job package.
RoleArn Yes Integer Data visiting policy achieved through CAM Role arn; the console can obtain it through Data Job -> Job Configuration; SDK can obtain corresponding values through the DescribeUserRoles API.
AppDriverSize Yes String The driver size. Valid values: small (default, 1 CU), medium (2 CUs), large (4 CUs), and xlarge (8 CUs).
AppExecutorSize Yes String The executor size. Valid values: small (default, 1 CU), medium (2 CUs), large (4 CUs), and xlarge (8 CUs).
AppExecutorNums Yes Integer Number of Spark job executors
Eni No String This field has been disused. Use the Datasource field instead.
IsLocal No String The source of the Spark job package. Valid values: cos for COS and lakefs for the local system (for use in the console, but this method does not support direct API calls).
MainClass No String The main class of the Spark job.
AppConf No String Spark configurations separated by line break
IsLocalJars No String The source of the dependency JAR packages of the Spark job. Valid values: cos for COS and lakefs for the local system (for use in the console, but this method does not support direct API calls).
AppJars No String The dependency JAR packages of the Spark JAR job (JAR packages), separated by comma.
IsLocalFiles No String The source of the dependency files of the Spark job. Valid values: cos for COS and lakefs for the local system (for use in the console, but this method does not support direct API calls).
AppFiles No String The dependency files of the Spark job (files other than JAR and ZIP packages) separated by comma.
CmdArgs No String The input parameters of the Spark job, separated by comma.
MaxRetries No Integer The maximum number of retries, valid for Spark streaming tasks only.
DataSource No String The data source name.
IsLocalPythonFiles No String The source of the PySpark dependencies. Valid values: cos for COS and lakefs for the local system (for use in the console, but this method does not support direct API calls).
AppPythonFiles No String The PySpark dependencies (Python files), separated by comma, with .py, .zip, and .egg formats supported.
IsLocalArchives No String The source of the dependency archives of the Spark job. Valid values: cos for COS and lakefs for the local system (for use in the console, but this method does not support direct API calls).
AppArchives No String The dependency archives of the Spark job, separated by comma, with tar.gz, .tgz, and .tar formats supported.
SparkImage No String The Spark image version.
SparkImageVersion No String The Spark image version name.
AppExecutorMaxNumbers No Integer The specified executor count (max), which defaults to 1. This parameter applies if the "Dynamic" mode is selected. If the "Dynamic" mode is not selected, the executor count is equal to AppExecutorNums.
SessionId No String The ID of the associated Data Lake Compute query script.
IsInherit No Integer Whether to inherit the task resource configuration from the cluster template. Valid values: 0 (default): No; 1: Yes.
IsSessionStarted No Boolean Whether to run the task with the session SQLs. Valid values: false for no and true for yes.

3. Output Parameters

Parameter Name Type Description
SparkAppId String The unique ID of the application.
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 a Spark job

This example shows you how to create a Spark job.

Input Example

POST / HTTP/1.1
Host: dlc.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: CreateSparkApp
<Common request parameters>

{
    "AppName": "spark-test",
    "AppType": 1,
    "DataEngine": "spark-engine",
    "Eni": "kafka-eni",
    "IsLocal": "cos",
    "AppFile": "test.jar",
    "RoleArn": 12,
    "MainClass": "com.test.WordCount",
    "AppConf": "spark-default.properties",
    "IsLocalJars": "cos",
    "AppJars": "com.test2.jar",
    "IsLocalFiles": "cos",
    "AppFiles": "spark-default.properties",
    "AppDriverSize": "small",
    "AppExecutorSize": "small",
    "AppExecutorNums": 1,
    "AppExecutorMaxNumbers": 1
}

Output Example

{
    "Response": {
        "SparkAppId": "2aedsa7a-9f72-44aa-9fd4-65cb739d6301",
        "RequestId": "2ae4707a-9f72-44aa-9fd4-65cb739d6301"
    }
}

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.InvalidAppFileFormat The specified Spark task package file format does not match. Currently, only .jar or .py is supported.
InvalidParameter.InvalidDriverSize The current DriverSize specification only supports small/medium/large/xlarge/m.small/m.medium/m.large/m.xlarge.
InvalidParameter.InvalidExecutorSize The current ExecutorSize specification only supports small/medium/large/xlarge/m.small/m.medium/m.large/m.xlarge.
InvalidParameter.InvalidFilePathFormat The specified file path format is not compliant. Currently, only cosn:// or lakefs:// is supported.
InvalidParameter.InvalidRoleArn The CAM role arn is invalid.
InvalidParameter.SparkJobNotUnique The specified Spark task already exists.
InvalidParameter.SparkJobOnlySupportSparkBatchEngine Spark tasks can only be run using the Spark job engine.
ResourceNotFound.DataEngineNotFound The specified engine 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.

ヘルプとサポート

この記事はお役に立ちましたか?

フィードバック