tencent cloud

Data Lake Compute

Release Notes
Product Introduction
Overview
Strengths
Use Cases
Purchase Guide
Billing Overview
Refund
Payment Overdue
Configuration Adjustment Fees
Getting Started
Complete Process for New User Activation
DLC Data Import Guide
Quick Start with Data Analytics in Data Lake Compute
Quick Start with Permission Management in Data Lake Compute
Quick Start with Partition Table
Enabling Data Optimization
Cross-Source Analysis of EMR Hive Data
Standard Engine Configuration Guide
Configuring Data Access Policy
Operation Guide
Console Operation Introduction
Development Guide
Runtime Environment
SparkJar Job Development Guide
PySpark Job Development Guide
Query Performance Optimization Guide
UDF Function Development Guide
System Restraints
Client Access
JDBC Access
TDLC Command Line Interface Tool Access
Third-party Software Linkage
Python Access
Practical Tutorial
Accessing DLC Data with Power BI
Table Creation Practice
Using Apache Airflow to Schedule DLC Engine to Submit Tasks
Direct Query of DLC Internal Storage with StarRocks
Spark cost optimization practice
DATA + AI
Using DLC to Analyze CLS Logs
Using Role SSO to Access DLC
Resource-Level Authentication Guide
Implementing Tencent Cloud TCHouse-D Read and Write Operations in DLC
DLC Native Table
SQL Statement
SuperSQL Statement
Overview of Standard Spark Statement
Overview of Standard Presto Statement
Reserved Words
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
General Reference
Error Codes
Quotas and limits
Operation Guide on Connecting Third-Party Software to DLC
FAQs
FAQs on Permissions
FAQs on Engines
FAQs on Features
FAQs on Spark Jobs
DLC Policy
Privacy Policy
Data Privacy And Security Agreement
Service Level Agreement
Contact Us

ModifySparkAppBatch

PDF
Focus Mode
Font Size
Last updated: 2025-11-13 20:53:17

1. API Description

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

This API is used to modify Spark job parameters in batches.

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: ModifySparkAppBatch.
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.
SparkAppId.N Yes Array of String The list of the IDs of the Spark job tasks to be modified in batches.
DataEngine No String The engine ID.
AppDriverSize No String The driver size.
Valid values for the standard resource type: small, medium, large, and xlarge.
Valid values for the memory resource type: m.small, m.medium, m.large, and m.xlarge.
AppExecutorSize No String The executor size.
Valid values for the standard resource type: small, medium, large, and xlarge.
Valid values for the memory resource type: m.small, m.medium, m.large, and m.xlarge.
AppExecutorNums No Integer The executor count. The minimum value is 1 and the maximum value is less than the cluster specification.
AppExecutorMaxNumbers No Integer The maximum executor count (in dynamic configuration scenarios). The minimum value is 1 and the maximum value is less than the cluster specification. If you set ExecutorMaxNumbers to a value smaller than that of ExecutorNums, the value of ExecutorMaxNumbers is automatically changed to that of ExecutorNums.
IsInherit No Integer Whether to inherit the task resource configuration from the cluster template. Valid values: 0 (default): No; 1: Yes.

3. Output Parameters

Parameter Name Type Description
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 Modifying Spark job parameters in batches

This example shows you how to modify Spark job parameters in batches.

Input Example

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

{
    "SparkAppId": [
        "batch_a7dca867-b941-4294-af9e-3dsefc086f1e"
    ],
    "DataEngine": "DataEngine-dde2f7vq",
    "AppDriverSize": "small",
    "AppExecutorSize": "small",
    "AppExecutorNums": 1,
    "AppExecutorMaxNumbers": 1,
    "IsInherit": 0
}

Output Example

{
    "Response": {
        "RequestId": "b8sd7dd7-ekd4-4e5e-993e-e5db64fa21c1"
    }
}

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 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.InvalidSQL SQL parsing failed.
InvalidParameter.ParameterNotFoundOrBeNone The parameter is not found or empty.
InvalidParameter.SparkJobIsInheritTypeNotMatch The specified Spark task IsInherit type does not match. Currently, it only supports: 0: Inherit; 1: Do not inherit.
ResourceInsufficient.SparkJobInsufficientResources The specified spark job resources are insufficient. Please adjust the driver/executor specifications.
ResourceNotFound The resource does not exist.
ResourceNotFound.DataEngineNotFound The specified engine does not exist.
ResourceNotFound.DataEngineNotUnique The specified engine already exists.

Help and Support

Was this page helpful?

Help us improve! Rate your documentation experience in 5 mins.

Feedback