The data migration feature refers to data replication between different data sources. It is a short-term one-time task that migrates the entire database. After migration, manual cutover will be performed to continue the task in the new database. DTS supports non-stop data migration without locks to minimize the impact of database downtime on the business.
DTS supports migration of self-built, TencentDB, and third-party cloud source databases.
Self-built database migration to the cloud: This means to migrate data from a self-built database based on a local IDC, CVM instance, or Lighthouse instance to TencentDB.
Cross-TencentDB instance migration: This includes database version upgrade, cross-region migration (including cross-border migration), and cross-account instance migration.
Third-party database migration: This means to migrate data from a database in another cloud such as Alibaba Cloud or AWS to Tencent Cloud.
How It Works
The following takes MySQL as an example to describe the data migration process:
Source database export: All existing data in the source database is exported.
Data import: Existing data is imported into the target database.
Incremental data sync and data check: Binlog takeover will begin when a migration task is started. During migration, SQL operations in the source database are written to the binlog, which DTS parses to write incremental data generated during existing data migration into the target database.
Typical Use Cases
Data migration to Tencent Cloud
It simply takes a few steps in DTS to set up data migration to Tencent Cloud without any complicated configuration. The migration process does not interrupt the service provided by your source database, thereby minimizing the impact of cloudification on your business.
Restrictions
Basic tables, views, functions, triggers, procedures, and events can be migrated (unsupported migration objects will be gradually supported in the future).
Correlated data objects must be migrated together; otherwise, migration will fail. Common correlations include table referenced by views, view referenced by views, view/table referenced by procedures/functions/triggers, and tables correlated through primary/foreign keys.
Supported Migration Types
DTS supports the following three migration types:
Structural migration: The structure of the migration objects in the source database is migrated to the target database.
Full migration: All data except system tables in the source database is migrated to the target database at a time. Full migration is one-time migration and is applicable to scenarios where the source database has no data writes.
Full + incremental migration: Full migration is performed first to initialize the target database, and then the incremental data is migrated. Technical methods such as log parsing are used to keep the data between the source and target databases consistent. Full + incremental migration is applicable to scenarios where the source instance has data writes.
Notes
If you select full data migration, do not write new data into the source instance during migration; otherwise, the data in the source and target instances will be inconsistent. In scenarios with data writes, to ensure the data consistency in real time, we recommend you select full + incremental migration.
Supported Database Types
For more information on the source and target database types, versions, and migration types supported for data migration, see Databases Supported by Data Migration.
Supported Advanced Features
Feature
Description
Documentation
Heterogeneous migration and migration from third-party cloud databases
Data migration between databases in different types is supported, such as migration from MySQL to TDSQL-C. Currently supported third-party cloud databases include Alibaba Cloud and AWS databases.
The target database version should be equal to or later than the source database version; for example, data on v5.5.x can be migrated to v5.5.x, v5.6.x, or later. The last digit in the version number is the minor version number, which is not restricted.
Yes
No
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