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Data Transfer Service

Release Notes and Announcements
Release Notes
Announcements
Product Introduction
Overview
Data Migration
Data Sync
Data Subscription (Kafka Edition)
Strengths
Supported Regions
Specification Description
Purchase Guide
Billing Overview
Configuration Change Description
Payment Overdue
Refund
Getting Started
Data Migration Guide
Data Sync Guide
Data Subscription Guide (Kafka Edition)
Preparations
Business Evaluation
Network Preparation
Adding DTS IP Addresses to the Allowlist of the Corresponding Databases
DTS Service Permission Preparation
Database and Permission Preparation
Configuring Binlog in Self-Built MySQL
Data Migration
Databases Supported by Data Migration
Cross-Account TencentDB Instance Migration
Migration to MySQL Series
Migrating to PostgreSQL
Migrating to MongoDB
Migrating to SQL Server
Migrating to Tencent Cloud Distributed Cache
Task Management
Data Sync
Databases Supported by Data Sync
Cross-Account TencentDB Instance Sync
Sync to MySQL series
Synchronize to PostgreSQL
Synchronization to MongoDB
Synchronize to Kafka
Task Management
Data Subscription (Kafka Edition)
Databases Supported by Data Subscription
MySQL series Data Subscription
Data Subscription for TDSQL PostgreSQL
MongoDB Data Subscription
Task Management
Consumption Management
Fix for Verification Failure
Check Item Overview
Cutover Description
Monitoring and Alarms
Supported Monitoring Indicators
Supported Events
Configuring Metric Alarms and Event Alarms via the Console
Configuring Indicator Monitoring and Event Alarm by APIs
Ops Management
Configuring Maintenance Time
Task Status Change Description
Practical Tutorial
Synchronizing Local Database to the Cloud
Creating Two-Way Sync Data Structure
Creating Many-to-One Sync Data Structure
Creating Multi-Site Active-Active IDC Architecture
Selecting Data Sync Conflict Resolution Policy
Using CLB as Proxy for Cross-Account Database Migration
Migrating Self-Built Databases to Tencent Cloud Databases via CCN
Best Practices for DTS Performance Tuning
FAQs
Data Migration
Data Sync
FAQs for Data Subscription Kafka Edition
Regular Expressions for Subscription
Error Handling
Common Errors
Failed Connectivity Test
Failed or Alarmed Check Item
Inability to Select Subnet During CCN Access
Slow or Stuck Migration
Data Sync Delay
High Data Subscription Delay
Data Consumption Exception
API Documentation
History
Introduction
API Category
Making API Requests
(NewDTS) Data Migration APIs
Data Sync APIs
Data Consistency Check APIs
(NewDTS) Data Subscription APIs
Data Types
Error Codes
DTS API 2018-03-30
Service Agreement
Service Level Agreements
ドキュメントData Transfer ServiceData SyncSynchronization to MongoDBSynchronization from MongoDB to MongoDBUsage Instructions

Usage Instructions

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最終更新日: 2026-03-30 16:23:12
Category
Description
Supported version
1. Source database
Self-built MongoDB (IDC self-built databases and self-built databases on Cloud Virtual Machine (CVM) instances) 4.0, 4.2, 4.4, 5.0, 6.0, and 7.0.
MongoDB 4.0, 4.2, 4.4, 5.0, 6.0, and 7.0 from third-party cloud vendors.
TencentDB for MongoDB 4.0, 4.2, 4.4, 5.0, 6.0, 7.0 and 8.0.
2. Target database
TencentDB for MongoDB 4.0, 4.2, 4.4, 5.0, 6.0, 7.0 and 8.0.
Impact on the source database
When Data Transfer Service (DTS) is used to perform full data synchronization, it occupies certain resources of the source instance, which may cause the source instance load to increase and add pressure to the database. If your database configuration is low, it is recommended to perform this operation during off-peak hours.
Impact on the target database
During synchronization, DTS is used along with the system service account to create a table named based on the task ID (such as dts-xxxxx) in the target TencentDTSData database. This table is used to record CHECKPOINT, enabling resumable transfer in case of task interruption.
Synchronization type
Full and incremental data synchronization are supported.
Synchronization object
Databases and collections.
Supported SQL statements
1. DML
INSERT, UPDATE, and DELETE.
2. DDL
INDEX: createIndexes, createIndex, dropIndex, and dropIndexes.
COLLECTION: createCollection, drop, collMod, renameCollection, and convertToCapped.
DATABASE: dropDatabase and copyDatabase.
DDL operations for replica sets and sharded clusters are supported.
Operation restrictions
1. Do not perform the following operations during synchronization. Otherwise, they will cause the synchronization task to fail.
Do not modify or delete user information (including usernames, passwords, and permissions) and port numbers in the source and target databases.
Do not perform Oplog cleanup operations on the source database.
During the incremental synchronization phase, do not delete the target TencentDTSData database.
2. where condition filtering is currently not supported.
3. Renaming databases or tables is currently not supported.
前の記事へ: Multi Task Conflict Detection次の記事へ: Synchronization Instructions

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