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
DocumentationData Lake ComputeContact Us

Contact Us

PDF
Focus Mode
Font Size
Last updated: 2025-01-03 15:27:27

Customer Service

If you have any questions about Tencent Cloud products, please contact our customer service for assistance.
Hong Kong (China): +852 800-964-163 (toll-free)
US: +1 888-652-2736 (toll-free)
Other regions: +86 4009100100

Submitting a Ticket

If you encounter any OPS or technical problems when using our products, you can log in to the Tencent Cloud console and follow the on-screen prompts to submit a ticket. We will get back to you as soon as possible. Ticket links:
Submitting a ticket: Submit a ticket
Querying ticket state: Ticket list
A ticket can have the following status:
Pending processing: the ticket is just submitted or has been received but not reviewed by the technical support team. You can submit more information for or close the ticket at this stage.
Processing: the technical support team has received and reviewed the ticket and is taking an action. You can submit more information for or close the ticket at this stage.
More information required: the technical support team has received and reviewed the ticket, but more information is required for processing it. You can close the ticket at this stage.
Note:
The ticket will revert to "pending processing" status after you re-submit the ticket with more information.
Closed: the ticket has been resolved, or you closed the ticket before it was processed.
Previous Topic: Service Level Agreement

Help and Support

Was this page helpful?

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

Feedback