You can use DTS to migrate data between homogeneous and heterogeneous data sources. Typical scenarios include data migration to Alibaba Cloud, data migration between instances within Alibaba Cloud, and database splitting and scale-out. This topic describes how to create, monitor, and manage a data migration task.
- Database and migration types
This topic describes the database types, database versions, and migration types that are supported by DTS.
- Data type mappings between heterogeneous databases
The data types of different databases do not have one-to-one correspondence. This topic describes the data type mappings that DTS uses between the source and destination databases during schema migration. You can evaluate the impact of data type conversion on your business.
For information about the features of a data migration task, see Data migration.
Manage a data migration task
The following figure shows the steps to manage a data migration task.
|1. Prepare for data migration||Before you use DTS for data migration, prepare the environments that are required for the source and destination databases.|
|2. Create a data migration task||Create a data migration task by completing simple configurations in the DTS console.|
|3. View the progress of the data migration task||View the progress of schema migration, full data migration, or incremental data migration in the DTS console.|
|4. Switch workloads to the destination database||Switch your workloads to the destination database. Before you switch the workloads, we recommend that you prepare a rollback solution to minimize the negative impacts of data migration on your business.|
|5. Stop the data migration task||After data migration and workload switchover is completed, stop the data migration task if you no longer need the task.|