You can use DTS to retrieve incremental data from data sources in real time. This feature applies to multiple scenarios, such as cache update, business decoupling, asynchronous data processing, real-time synchronization of heterogeneous data, and real-time synchronization of complex extract, transform, and load (ETL) operations. This topic describes how to create, monitor, and manage a change tracking task.
Manage a change tracking task
The following figure shows the steps to manage a change tracking task.
|Step||Supported version of the change tracking feature||Description|
|1. Prepare for change tracking||New and previous||Before you use DTS for change tracking, prepare the environments that are required for the source and destination databases.|
|2. Create a change tracking task||New and previous||Create a change tracking task by completing simple configurations in the DTS console.|
|3. Manage the change tracking task||New||
|4. Consume tracked data.||New||Use a Kafka client to consume tracked data|
|Previous||Use SDK to consume data|
|5. Stop the change tracking task||New and previous||If you want to stop the change tracking task, delete the task.