AnalyticDB for PostgreSQL (previously known as HybridDB for PostgreSQL) is a fast, easy-to-use, and cost-effective warehousing service that can process petabytes of data. This topic describes how to synchronize data from a PolarDB-X 1.0 instance to an AnalyticDB for PostgreSQL instance by using Data Transmission Service (DTS). The data synchronization feature is applicable to scenarios such as ad hoc query and analysis, extract, transform, and load (ETL) operations, and data visualization.

Prerequisites

  • A database is created in the source PolarDB-X 1.0 instance based on one or more ApsaraDB RDS for MySQL instances.
  • The tables to be synchronized from the source database contain primary keys.
  • An AnalyticDB for PostgreSQL instance is created. For more information, see Create a AnalyticDB for PostgreSQL instance.

Precautions

  • DTS uses read and write resources of the source and destination databases during initial full data synchronization. This may increase the loads of the database servers. If the database performance is unfavorable, the specification is low, or the data volume is large, database services may become unavailable. For example, DTS occupies a large amount of read and write resources in the following cases: a large number of slow SQL queries are performed on the source database, the tables have no primary keys, or a deadlock occurs in the destination database. Before you synchronize data, evaluate the impact of data synchronization on the performance of the source and destination databases. We recommend that you synchronize data during off-peak hours. For example, you can synchronize data when the CPU utilization of the source and destination databases is less than 30%.
  • When the data synchronization task is running, do not upgrade or downgrade the PolarDB-X 1.0 instance, migrate frequently-accessed tables, change shard keys, or perform DDL operations on source objects. Otherwise, the data synchronization task fails.
  • If you switch the network type of the PolarDB-X 1.0 instance during data synchronization, you must submit a ticket to update the network connection settings of the data synchronization task.
  • After a data synchronization task is started, new tables that are created in the source database can be synchronized. To do this, you must add the tables to the selected objects of the task. For more information see Add an object to a data synchronization task.

Limits

  • You can select only tables as the objects to be synchronized.
  • DTS does not synchronize the following types of data: JSON, GEOMETRY, CURVE, SURFACE, MULTIPOINT, MULTILINESTRING, MULTIPOLYGON, and GEOMETRYCOLLECTION.

SQL operations that can be synchronized

INSERT, UPDATE, and DELETE

Term mappings

PolarDB-X 1.0 AnalyticDB for PostgreSQL
Database Schema
Table Table

Procedure

  1. Purchase a data synchronization instance. For more information, see Purchase a DTS instance.
    Note On the buy page, set Source Instance to PolarDB-X, set Target Instance to AnalyticDB for PostgreSQL, and set Synchronization Topology to One-Way Synchronization.
  2. Log on to the DTS console.
  3. In the left-side navigation pane, click Data Synchronization.
  4. At the top of the Synchronization Tasks page, select the region where the destination instance resides.
  5. Find the data synchronization instance and click Configure Synchronization Channel in the Actions column.
  6. Configure the source and destination instances.
    Configure the source and destination instances
    Section Parameter Description
    N/A Synchronization Task Name DTS automatically generates a task name. We recommend that you specify an informative name for easy identification. You do not need to use a unique task name.
    Source Instance Details Instance Type This parameter is set to DRDS Instance and cannot be changed.
    Instance Region The source region that you selected on the buy page. You cannot change the value of this parameter.
    DRDS Instance ID Select the ID of the PolarDB-X 1.0 instance.
    Destination Instance Details Instance Type This parameter is set to AnalyticDB for PostgreSQL and cannot be changed.
    Instance Region The destination region that you selected on the buy page. You cannot change the value of this parameter.
    Instance ID Select the ID of the AnalyticDB for PostgreSQL instance.
    Database Name Enter the name of the destination database in the AnalyticDB for PostgreSQL instance.
    Database Account Enter the database account of the AnalyticDB for PostgreSQL instance.
    Database Password Enter the password of the database account.
  7. In the lower-right corner of the page, click Set Whitelist and Next.
    Note In this step, DTS adds the CIDR blocks of DTS servers to the whitelists of the source PolarDB-X 1.0 instance and the destination AnalyticDB for PostgreSQL instance. This ensures that DTS servers can connect to the source and destination instances.
  8. Select the synchronization policy and the objects to be synchronized.
    Select the synchronization policy and the objects to be synchronized
    Setting Parameter Description
    Select the synchronization policy Initial Synchronization You must select both Initial Schema Synchronization and Initial Full Data Synchronization in most cases. After the precheck, DTS synchronizes the schemas and data of the required objects from the source instance to the destination instance. The schemas and data are the basis for subsequent incremental synchronization.
    Processing Mode In Existed Target Table
    • Clear Target Table

      Skips the Schema Name Conflict item during the precheck. Clears the data in the destination table before initial full data synchronization. If you want to synchronize your business data after testing the data synchronization task, you can select this mode.

    • Ignore

      Skips the Schema Name Conflict item during the precheck. Adds data to the existing data during initial full data synchronization. If you want to synchronize data from multiple tables to one table, you can select this mode.

    Synchronization Type

    Select the types of operations that you want to synchronize based on your business requirements.

    • Insert
    • Update
    • Delete
    Select the objects to be synchronized N/A

    Select one or more tables from the Available section and click the Rightwards arrow icon to move the tables to the Selected section.

    Note
    • You can select only tables as the objects to be synchronized.
    • You can use the object name mapping feature to rename the columns that are synchronized to the destination database. For more information, see Rename an object to be synchronized.
    Rename Databases and Tables N/A

    You can use the object name mapping feature to rename the objects that are synchronized to the destination instance. For more information, see Object name mapping.

    Retry Time for Failed Connections N/A
    By default, if DTS fails to connect to the source or destination database, DTS retries within the next 720 minutes (12 hours). You can specify the retry time based on your needs. If DTS reconnects to the source and destination databases within the specified time, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.
    Note When DTS retries a connection, you are charged for the DTS instance. We recommend that you specify the retry time based on your business needs. You can also release the DTS instance at your earliest opportunity after the source and destination instances are released.
  9. In the lower-right corner of the page, click Next.
  10. Specify the primary key column and distribution column of the table that you want to synchronize to the AnalyticDB for PostgreSQL instance.
    Note The page in this step appears only if you select Initial Schema Synchronization in Step 8. For more information about primary key columns and distribution columns, see Define constraints and Define table distribution.
  11. In the lower-right corner of the page, click Precheck.
    Note
    • Before you can start the data synchronization task, DTS performs a precheck. You can start the data synchronization task only after the task passes the precheck.
    • If the task fails to pass the precheck, you can click the Info icon icon next to each failed item to view details.
      • You can troubleshoot the issues based on the causes and run a precheck again.
      • If you do not need to troubleshoot the issues, you can ignore failed items and run a precheck again.
  12. Close the Precheck dialog box after the following message is displayed: The precheck is passed. Then, the data synchronization task starts.
  13. Wait until the initial synchronization is complete and the data synchronization task is in the Synchronizing state.
    You can view the status of the data synchronization task on the Synchronization Tasks page. View the status of a data synchronization task