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Data Transmission Service:Synchronize data from PolarDB for PostgreSQL to AnalyticDB for PostgreSQL

更新时间:Feb 04, 2026

Data Transmission Service (DTS) supports data synchronization from PolarDB for PostgreSQL to AnalyticDB for PostgreSQL.

Prerequisites

  • Create a destination AnalyticDB for PostgreSQL instance. If you have not created one, see Create an instance.

  • Set the wal_level parameter of the source PolarDB for PostgreSQL instance to logical. For more information, see Set cluster parameters.

  • The disk space of the destination database must be larger than the used disk space of the source database.

Notes

Note
  • During schema synchronization, DTS synchronizes foreign keys from the source database to the destination database.

  • During full data synchronization and incremental data synchronization, DTS temporarily disables constraint checks and foreign key cascade operations at the session level. Data inconsistency may occur if cascade update or delete operations are performed on the source database while the task is running.

Type

Description

Source database limits

  • In a PolarDB for PostgreSQL cluster, the tables to be synchronized must have a primary key or a non-null unique index.

  • If the source database has long-running transactions and the instance has an incremental synchronization task, the write-ahead log (WAL) that is generated before the long-running transactions are committed may accumulate. This can cause the disk space of the source database to become insufficient.

  • To ensure that the synchronization task runs as expected and to prevent logical replication from being interrupted by a primary/secondary switchover, the PolarDB for PostgreSQL cluster must support and enable Logical Replication Slot Failover.

    Note

    If the source PolarDB for PostgreSQL cluster does not support Logical Replication Slot Failover (for example, if the Database Engine of the cluster is PostgreSQL 14), a high-availability (HA) switchover in the source database may cause the synchronization instance to fail and become unrecoverable.

  • Due to the limits of logical replication in the source database, if a single piece of data to be synchronized exceeds 256 MB after an incremental change, the synchronization instance may fail and cannot be recovered. You must reconfigure the synchronization instance.

  • During schema synchronization and full data synchronization, do not perform Data Definition Language (DDL) operations that change the schema of databases or tables. Otherwise, the data synchronization task fails.

    Note

    During the full synchronization phase, DTS queries the source database, which acquires metadata locks. This may block DDL operations on the source database.

Other limits

  • A single data synchronization task can synchronize only one database. To synchronize multiple databases, you must configure a separate task for each database.

  • DTS does not support synchronizing TimescaleDB extension tables, tables with cross-schema inheritance, or tables with unique indexes based on expressions.

  • Schemas created by installing plugins cannot be synchronized. You cannot obtain information about these schemas in the console when you configure the task.

  • DTS does not support synchronizing DATATYPE, SEQUENCE, INDEX, PROCEDURE, FUNCTION, VIEW, OPERATOR, DEFAULT_CONSTRAINT, UK, PK, RULE, DOMAIN, AGGREGATE, EXTENSION, FK, or TRIGGER.

  • In the following three scenarios, you must run the ALTER TABLE schema.table REPLICA IDENTITY FULL; command on the tables to be synchronized in the source database before you write data to them. This ensures data consistency. Do not lock the tables while running this command to prevent deadlocks. If you skip the related precheck items, DTS automatically runs this command during the initialization of the instance.

    • When the instance runs for the first time.

    • When you select Schema as the granularity for object selection, and a new table is created in the schema or a table to be synchronized is rebuilt using the RENAME command.

    • When you use the feature to modify synchronization objects.

    Note
    • In the command, replace schema and table with the actual schema name and table name.

    • We recommend that you perform this operation during off-peak hours.

  • If the table to be synchronized has a primary key, the primary key column of the destination table must be the same as that of the source table. If the table to be synchronized does not have a primary key, the primary key column of the destination table must be the same as the distribution key.

  • The unique key (including the primary key column) of the destination table must contain all columns of the distribution key.

  • Initial full data synchronization consumes read and write resources on both the source and destination databases, which increases the database load. Therefore, evaluate the performance of the source and destination databases before you synchronize data, and perform the synchronization during off-peak hours.

  • Initial full data synchronization runs concurrent INSERT operations. This causes table fragmentation in the destination database. As a result, the table space in the destination instance is larger than that in the source instance after initial full data synchronization is complete.

  • During DTS synchronization, do not write data to the destination database from sources other than DTS. Otherwise, data inconsistency between the source and destination databases may occur.

  • During data synchronization, DTS creates a replication slot with the dts_sync_ prefix in the source database to replicate data. This replication slot allows DTS to obtain incremental logs from the source database within the last 15 minutes. When the data synchronization fails or the synchronization instance is released, DTS attempts to automatically clear the replication slot.

    Note
    • If you change the password of the source database account used by the task or delete the DTS IP address from the whitelist of the source database during data synchronization, the replication slot cannot be automatically cleared. In this case, you must manually clear the replication slot in the source database. This prevents the slot from continuously accumulating and consuming disk space, which can make the source database unavailable.

    • If a failover occurs in the source database, you must log on to the secondary database to manually clear the slot.

    Amazon slot查询信息

  • DTS validates data content but does not support validation for metadata such as sequences. You must validate metadata yourself.

  • DTS creates the following temporary tables in the source database to obtain DDL statements for incremental data, the structure of incremental tables, and heartbeat information. Do not delete these temporary tables during synchronization. Otherwise, the DTS task becomes abnormal. The temporary tables are automatically deleted after the DTS instance is released.

    public.dts_pg_class, public.dts_pg_attribute, public.dts_pg_type, public.dts_pg_enum, public.dts_postgres_heartbeat, public.dts_ddl_command, public.dts_args_session, and public.aliyun_dts_instance.

  • After you switch your business to the destination instance, new sequences do not increment from the maximum value of the source sequence. Before the business switchover, you must query the maximum value of the corresponding sequence in the source database and then set it as the initial value for the corresponding sequence in the destination database. The following command queries the sequence values in the source database:

    do language plpgsql $$
    declare
      nsp name;
      rel name;
      val int8;
    begin
      for nsp,rel in select nspname,relname from pg_class t2 , pg_namespace t3 where t2.relnamespace=t3.oid and t2.relkind='S'
      loop
        execute format($_$select last_value from %I.%I$_$, nsp, rel) into val;
        raise notice '%',
        format($_$select setval('%I.%I'::regclass, %s);$_$, nsp, rel, val+1);
      end loop;
    end;
    $$;
    Note

    The SQL statements that are returned after you run the command contain all sequences of the source database. Run the SQL statements in the destination database as needed.

  • If you use column mapping for a non-full table synchronization or if the source and destination table schemas are inconsistent, data in the columns that exist in the source table but not in the destination table is lost.

  • If the task fails, DTS technical support will attempt to recover it within 8 hours. During the recovery process, operations such as restarting the task or adjusting its parameters may be performed.

    Note

    When parameters are adjusted, only DTS task parameters are modified. Database parameters remain unchanged.The parameters that may be modified include but are not limited to those described in Modify instance parameters.

  • When you synchronize partitioned tables, you must include both the parent table and its child partitions as synchronization objects. Otherwise, data inconsistency may occur for the partitioned table.

    Note

    The parent table of a PostgreSQL partitioned table does not directly store data. All data is stored in the child partitions. The synchronization task must include the parent table and all its child partitions. Otherwise, data from the child partitions may not be synchronized, leading to data inconsistency between the source and destination.

Billing

Synchronization type

Pricing

Schema synchronization and full data synchronization

Free of charge.

Incremental data synchronization

Charged. For more information, see Billing overview.

Supported synchronization topologies

  • One-way one-to-one synchronization

  • One-way one-to-many synchronization

  • One-way many-to-one synchronization

For more information about synchronization topologies and their limits, see Data synchronization topologies.

Supported SQL operations

Operation type

SQL operation

DML

INSERT, UPDATE, DELETE

Note

When data is written to the destination AnalyticDB for PostgreSQL instance, DTS automatically converts UPDATE statements to REPLACE INTO statements. If an UPDATE statement is executed on primary keys, DTS converts it to DELETE and INSERT statements.

DDL

  • Only data synchronization tasks created after October 1, 2020, support DDL operation synchronization.

    Important
  • If the source database account is a privileged account, the sync task supports the following DDL operations:

    • CREATE TABLE, DROP TABLE

    • ALTER TABLE (including RENAME TABLE, ADD COLUMN, ADD COLUMN DEFAULT, ALTER COLUMN TYPE, DROP COLUMN, ADD CONSTRAINT, ADD CONSTRAINT CHECK, and ALTER COLUMN DROP DEFAULT)

    • TRUNCATE TABLE (The database engine of the source PolarDB for PostgreSQL instance must be PostgreSQL 11 or later)

    • CREATE INDEX ON TABLE

Important
  • Additional information included in DDL statements, such as CASCADE or RESTRICT, is not synchronized.

  • DDL is not supported in sessions that use the SET session_replication_role = replica command.

  • DDL statements that are run by calling functions are not synchronized.

  • If multiple SQL statements that are committed at a time in the source database include both DML and DDL statements, the DDL statements are not synchronized.

  • If multiple SQL statements that are committed at a time in the source database include DDL statements for non-synchronization objects, the DDL statements are not synchronized.

Permissions for database accounts

Database

Required permissions

Account creation and authorization method

PolarDB for PostgreSQL

Read and write permissions on the objects to be synchronized

Note

To synchronize DDL operations, a privileged account is required.

Create a database account

AnalyticDB for PostgreSQL

Read and write permissions on the destination database that contains the synchronization objects

Create and manage users

Note

You can also enter an account that has the RDS_SUPERUSER permission. For more information about how to create such an account, see User permission management.

Procedure

  1. Go to the data synchronization task list page in the destination region. You can do this in one of two ways.

    DTS console

    1. Log on to the DTS console.

    2. In the navigation pane on the left, click Data Synchronization.

    3. In the upper-left corner of the page, select the region where the synchronization instance is located.

    DMS console

    Note

    The actual steps may vary depending on the mode and layout of the DMS console. For more information, see Simple mode console and Customize the layout and style of the DMS console.

    1. Log on to the DMS console.

    2. In the top menu bar, choose Data + AI > DTS (DTS) > Data Synchronization.

    3. To the right of Data Synchronization Tasks, select the region of the synchronization instance.

  2. Click Create Task to navigate to the task configuration page.

  3. Configure the source and destination databases.

    Category

    Configuration

    Description

    None

    Task Name

    DTS automatically generates a task name. We recommend that you specify a descriptive name for easy identification. The name does not need to be unique.

    Source Database

    Select Existing Connection

    • Select the registered database instance with DTS from the drop-down list. The database information below is automatically configured.

      Note

      In the DMS console, this configuration item is Select a DMS database instance.

    • If you have not registered the database instance or do not need to use a registered instance, manually configure the database information below.

    Database Type

    Select PolarDB for PostgreSQL.

    Connection Type

    Select Cloud Instance.

    Instance Region

    Select the region where the source PolarDB for PostgreSQL cluster resides.

    Cross-account

    This example demonstrates synchronization within a single Alibaba Cloud account. Select Non-cross-account.

    Instance ID

    Select the ID of the source PolarDB for PostgreSQL cluster.

    Database Name

    Enter the name of the PolarDB for PostgreSQL database.

    Database Account

    Enter the database account of the PolarDB for PostgreSQL instance. For information about the permission requirements, see Permissions for database accounts.

    Database Password

    Enter the password for the specified database account.

    Destination Database

    Select Existing Connection

    • Select the registered database instance with DTS from the drop-down list. The database information below is automatically configured.

      Note

      In the DMS console, this configuration item is Select a DMS database instance.

    • If you have not registered the database instance or do not need to use a registered instance, manually configure the database information below.

    Database Type

    Select AnalyticDB PostgreSQL.

    Connection Type

    Select Cloud Instance.

    Instance Region

    Select the region where the destination AnalyticDB for PostgreSQL instance resides.

    Instance ID

    Select the ID of the destination AnalyticDB for PostgreSQL instance.

    Database Name

    Enter the name of the database in the destination AnalyticDB for PostgreSQL instance that contains the synchronization objects.

    Database Account

    Enter the database account of the destination AnalyticDB for PostgreSQL instance. For information about the permission requirements, see Permissions for database accounts.

    Database Password

    Enter the password for the specified database account.

  4. After you complete the configuration, click Test Connectivity and Proceed at the bottom of the page.

    Note

    Ensure that the IP address blocks of the DTS service are added to the security settings of the source and destination databases, either automatically or manually, to allow access from DTS servers. For more information, see Add the IP address whitelist of DTS servers.

  5. Configure the task objects.

    1. On the Configure Objects page, specify the objects to synchronize.

      Configuration

      Description

      Synchronization Types

      The synchronization types. By default, Incremental Data Synchronization is selected. You must also select Schema Synchronization and Full Data Synchronization. After the precheck is complete, DTS synchronizes the historical data of the selected objects from the source database to the destination cluster. The historical data is the basis for subsequent incremental synchronization.

      Processing Mode of Conflicting Tables

      • Precheck and Report Errors: Checks for tables with the same names in the destination database. If any tables with the same names are found, an error is reported during the precheck and the data synchronization task does not start. Otherwise, the precheck is successful.

        Note

        If you cannot delete or rename the table with the same name in the destination database, you can map it to a different name in the destination. For more information, see Database Table Column Name Mapping.

      • Ignore Errors and Proceed: Skips the check for tables with the same name in the destination database.

        Warning

        Selecting Ignore Errors and Proceed may cause data inconsistency and put your business at risk. For example:

        • If the table schemas are consistent and a record in the destination database has the same primary key or unique key value as a record in the source database:

          • During full data synchronization, DTS retains the destination record and skips the source record.

          • During incremental synchronization, DTS overwrites the destination record with the source record.

        • If the table schemas are inconsistent, data initialization may fail. This can result in only partial data synchronization or a complete synchronization failure. Use with caution.

      Select DDL and DML to Sync at the Instance Level

      Select the DDL or DML operations to be synchronized at the instance level. For information about the supported operations, see Supported SQL operations.

      Note

      To select SQL operations for a database or table, right-click a synchronization object in the Selected Objects box and select the SQL operations from the dialog box that appears.

      Storage Engine Type

      Select the storage engine type for the destination tables. The default is Beam.

      Note

      This configuration item is available only if the kernel version of the target AnalyticDB for PostgreSQL instance is v7.0.6.6 or later and Synchronization Types is set to Schema Synchronization.

      Case Policy for Destination Object Names

      Configure the case-sensitivity policy for database, table, and column names in the destination instance. By default, the DTS default policy is selected. You can also choose to use the default policy of the source or destination database. For more information, see Case policy for destination object names.

      Source Objects

      In the Source Objects box, click the objects, and then click 向右 to move them to the Selected Objects box.

      Note

      You can select tables as synchronization objects.

      Selected Objects

      • To rename a single object in the destination instance, right-click the object in the Selected Objects box. For more information, see Map a single object name.

      • To rename multiple objects in bulk, click Batch Edit in the upper-right corner of the Selected Objects box. For more information, see Map multiple object names in bulk.

      Note
      • To select SQL operations to be synchronized at the database or table level, right-click an object in the Selected Objects section and select the desired SQL operations in the dialog box that appears.

      • To set a WHERE clause to filter data, right-click the table to be synchronized in the Selected Objects section and set the filter condition in the dialog box that appears. For more information, see Set a filter condition.

    2. Click Next: Advanced Settings.

      Configuration

      Description

      Dedicated Cluster for Task Scheduling

      By default, DTS uses a shared cluster for tasks, so you do not need to make a selection. For greater task stability, you can purchase a dedicated cluster to run the DTS synchronization task. For more information, see What is a DTS dedicated cluster?.

      Retry Time for Failed Connections

      If the connection to the source or destination database fails after the synchronization task starts, DTS reports an error and immediately begins to retry the connection. The default retry duration is 720 minutes. You can customize the retry time to a value from 10 to 1,440 minutes. We recommend a duration of 30 minutes or more. If the connection is restored within this period, the task resumes automatically. Otherwise, the task fails.

      Note
      • If multiple DTS instances (e.g., Instance A and B) share a source or destination, DTS uses the shortest configured retry duration (e.g., 30 minutes for A, 60 for B, so 30 minutes is used) for all instances.

      • DTS charges for task runtime during connection retries. Set a custom duration based on your business needs, or release the DTS instance promptly after you release the source/destination instances.

      Retry Time for Other Issues

      If a non-connection issue (e.g., a DDL or DML execution error) occurs, DTS reports an error and immediately retries the operation. The default retry duration is 10 minutes. You can also customize the retry time to a value from 1 to 1,440 minutes. We recommend a duration of 10 minutes or more. If the related operations succeed within the set retry time, the synchronization task automatically resumes. Otherwise, the task fails.

      Important

      The value of Retry Time for Other Issues must be less than that of Retry Time for Failed Connections.

      Enable Throttling for Full Data Synchronization

      During full data synchronization, DTS consumes read and write resources from the source and destination databases, which can increase their load. To mitigate pressure on the destination database, you can limit the migration rate by setting Queries per second (QPS) to the source database, RPS of Full Data Migration, and Data migration speed for full migration (MB/s).

      Note

      Enable Throttling for Incremental Data Synchronization

      You can also limit the incremental synchronization rate to reduce pressure on the destination database by setting RPS of Incremental Data Synchronization and Data synchronization speed for incremental synchronization (MB/s).

      Environment Tag

      As needed, you can select an environment tag to identify the instance. In this example, no selection is needed.

      Configure ETL

      Choose whether to enable the extract, transform, and load (ETL) feature. For more information, see What is ETL? Valid values:

      Monitoring and Alerting

      Choose whether to set up alerts. If the synchronization fails or the latency exceeds the specified threshold, DTS sends a notification to the alert contacts.

    3. Click Data Verification to configure a data verification task.

      To use the data verification feature, see Configure data verification.

    4. After completing the configuration, click Next: Configure Table And Field at the bottom of the page to set the primary key and distribution columns for the tables to be synchronized to the destination AnalyticDB for PostgreSQL.

  6. Save the task and perform a precheck.

    • To view the parameters for configuring this instance via an API operation, hover over the Next: Save Task Settings and Precheck button and click Preview OpenAPI parameters in the tooltip.

    • If you have finished viewing the API parameters, click Next: Save Task Settings and Precheck at the bottom of the page.

    Note
    • Before a synchronization task starts, DTS performs a precheck. You can start the task only if the precheck passes.

    • If the precheck fails, click View Details next to the failed item, fix the issue as prompted, and then rerun the precheck.

    • If the precheck generates warnings:

      • For non-ignorable warning, click View Details next to the item, fix the issue as prompted, and run the precheck again.

      • For ignorable warnings, you can bypass them by clicking Confirm Alert Details, then Ignore, and then OK. Finally, click Precheck Again to skip the warning and run the precheck again. Ignoring precheck warnings may lead to data inconsistencies and other business risks. Proceed with caution.

  7. Purchase the instance.

    1. When the Success Rate reaches 100%, click Next: Purchase Instance.

    2. On the Purchase page, select the billing method and link specifications for the data synchronization instance. For more information, see the following table.

      Category

      Parameter

      Description

      New Instance Class

      Billing Method

      • Subscription: You pay upfront for a specific duration. This is cost-effective for long-term, continuous tasks.

      • Pay-as-you-go: You are billed hourly for actual usage. This is ideal for short-term or test tasks, as you can release the instance at any time to save costs.

      Resource Group Settings

      The resource group to which the instance belongs. The default is default resource group. For more information, see What is Resource Management?.

      Instance Class

      DTS offers synchronization specifications at different performance levels that affect the synchronization rate. Select a specification based on your business requirements. For more information, see Data synchronization link specifications.

      Subscription Duration

      In subscription mode, select the duration and quantity of the instance. Monthly options range from 1 to 9 months. Yearly options include 1, 2, 3, or 5 years.

      Note

      This option appears only when the billing method is Subscription.

    3. Read and select the checkbox for Data Transmission Service (Pay-as-you-go) Service Terms.

    4. Click Buy and Start, and then click OK in the OK dialog box.

      You can monitor the task progress on the data synchronization page.