When you select objects for a Data Transmission Service (DTS) task, you can specify SQL conditions to filter data. Only the data that meets the specified conditions is synchronized or migrated to the destination database. This feature is applicable to scenarios such as regular data synchronization or migration and table partitioning.


The task is being configured. The current step is Configure Objects and Advanced Settings. For more information about how to create and configure a DTS task, see Configure a data synchronization task.


  • You can filter only the fields in the current table. Cross-table filtering is not supported.
  • If the source database is a self-managed PostgreSQL database, an ApsaraDB RDS PostgreSQL instance, or a PolarDB O Edition cluster, filter conditions do not take effect on incremental data.


  1. In the Configure Objects and Advanced Settings step, move a table to the Selected Objects section and then right-click the table.
  2. In the Edit Table Name dialog box, enter one or more SQL conditions in the Filter Conditions field. Enter SQL conditions
    • An SQL condition is a standard SQL WHERE statement. The following operators are supported: =, !=, <, >, and in. Only the data that meets the WHERE condition is synchronized or migrated to the destination database. In this example, enter order>100.
    • You can specify a time condition in an SQL WHERE statement. However, you must make sure that the specified time condition is valid. For example, to filter incremental data created after 2020, you must enter create_time>'2020-01-01' or create_time>'2020-01-01 00:00:00'. You cannot enter create_time>'2020'.
    • You can use apostrophes (') in an SQL condition if necessary. For example, you can enter address in('hangzhou','shanghai').
  3. Click OK.
  4. Configure other parameters that are required for the DTS task.