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Data Transmission Service:Migrate data from an ApsaraDB for MongoDB instance to an AnalyticDB for PostgreSQL instance

Last Updated:Apr 15, 2025

Data Transmission Service (DTS) allows you to migrate data from an ApsaraDB for MongoDB instance to an AnalyticDB for PostgreSQL instance. This topic describes how to migrate data from an ApsaraDB for MongoDB replica set instance to an AnalyticDB for PostgreSQL instance.

Prerequisites

  • The destination AnalyticDB for PostgreSQL instance is created. The available storage space of this instance is larger than the total size of data in the source ApsaraDB for MongoDB instance. For more information about how to create an AnalyticDB for PostgreSQL instance, see Create an instance.

    Note

    The available storage space of the destination database is 10% larger than the total size of data in the source database. This is a recommended prerequisite.

  • A database, a schema, and a table with a primary key column are created in the destination AnalyticDB for PostgreSQL instance to receive data. For more information, see SQL syntax.

    Important
    • Make sure that the data type of data in the destination table is compatible with the data in the source ApsaraDB for MongoDB instance. For example, if the _id field of the ApsaraDB for MongoDB instance is of the ObjectId type, the data type of the AnalyticDB for PostgreSQL instance must be varchar.

    • Do not name the columns of the destination table in the AnalyticDB for PostgreSQL instance as _id or _value.

  • The endpoints of all shard nodes are obtained and the usernames and passwords of the accounts used to log on to the shard nodes are consistent if the source database is an ApsaraDB for MongoDB sharded cluster instance. For more information, see Apply for an endpoint for a shard or ConfigServer component.

Usage notes

Category

Description

Limits on the source database

  • The server on which the source database is deployed must have sufficient outbound bandwidth. Otherwise, the data migration speed decreases.

  • If you select collections as the objects to be migrated and you want to modify the collections in the destination database, such as renaming the collections, you can migrate up to 1,000 collections in a single data migration task. If you run a task to migrate more than 1,000 collections, a request error occurs. In this case, we recommend that you configure multiple tasks to migrate the collections.

  • You can use DTS to migrate full data from the source standalone MongoDB databases, Azure Cosmos DB for MongoDB clusters or Amazon DocumentDB elastic clusters.

  • To perform incremental data migration, you must make sure that the following requirements are met:

    The oplog feature is enabled for the source database and operation logs of the source database are retained for at least seven days. Alternatively, change streams are enabled for the source database and DTS can use change streams to subscribe to data changes in the source database within the last seven days. Otherwise, DTS may fail to obtain the operation logs and the data migration task may fail. In exceptional circumstances, data inconsistency or loss may occur. The service level agreement (SLA) of DTS does not cover these issues.

    Important
    • We recommend that you use the oplog feature to obtain data changes in the source database.

    • You can use change streams to obtain data changes in the source database only if the source database runs MongoDB V4.0 or later.

    • If the source database is an inelastic Amazon DocumentDB cluster, you must enable change streams for the database and set the Migration Method parameter to ChangeStream and the Architecture parameter to Sharded Cluster when you configure the data migration task.

  • If the source MongoDB is a sharded cluster architecture instance, the _id field in the collections to be migrated must be unique. Otherwise, data inconsistency may occur.

  • DTS cannot connect MongoDB database over a SRV endpoint.

  • If the source database is an ApsaraDB for MongoDB sharded cluster instance, the number of Mongos nodes in the instance cannot exceed 10. You must also make sure that the source ApsaraDB for MongoDB sharded cluster instance does not contain orphaned documents. Otherwise, data inconsistency may occur and the task may fail. For more information, see the MongoDB documentation and the How do I delete orphaned documents of a MongoDB database deployed in the sharded cluster architecture? section of the FAQ topic.

  • Limits on operations to be performed on the source database:

    • During full data migration, do not perform schema change on databases or collections, including the update of the array type. Otherwise, the data migration task fails, or data inconsistency between the source and destination databases may occur.

    • If you perform only full data migration, do not write data to the source database during data migration. Otherwise, data inconsistency occurs between the source and destination databases.

    • If the source database is a MongoDB with a sharded cluster architecture and the Balancer in the source database has balancing data behavior, it may cause latency in the instance.

Other limits

  • You can select only collections as the objects to be migrated.

  • The tables that receive data in the destination AnalyticDB for PostgreSQL instance must have a unique primary key column, rather than composite primary key. When you configure fields for the Selected Objects parameter in a data migration task, you must assign value to the primary key column as bson_value("_id").

  • The destination AnalyticDB for PostgreSQL instance cannot contain fields that are named _id or _value. Otherwise, the data migration task fails.

  • If the data type of the destination AnalyticDB for PostgreSQL instance is incompatible with the data in the source ApsaraDB for MongoDB instance, the data migration task fails.

  • DTS cannot migrate data from the admin or local database.

  • The destination table cannot be an append-optimized (AO) table.

  • Transaction information is not retained. When transactions in the source database are migrated to the target database, they are converted into single records.

  • Before performing data migration, evaluate the performance of the source and target databases. It is also recommended to perform data migration during off-peak hours. Otherwise, during full data migration, DTS occupies certain read and write resources of the source and target databases, which may increase the load on the databases.

  • During full data migration, concurrent INSERT operations cause fragmentation in the collections of the target database. After full migration is complete, the space usage of the collections in the target database will be larger than that of the collections in the source instance.

  • Make sure that the precision settings for columns of the FLOAT or DOUBLE data type meet your business requirements. DTS reads the values of these columns by using the ROUND(COLUMN,PRECISION) function. If you do not specify a precision, DTS sets the precision for columns of the FLOAT data type to 38 digits and the precision for columns of the DOUBLE data type to 308 digits.

  • DTS attempts to resume a data migration task that failed within the last seven days. Therefore, before switching your business to the target instance, make sure that you end or release the task, or use the revoke command to revoke the write permissions of the DTS account on the target instance. Otherwise, the data in the source database will overwrite the data in the target instance after the task is resumed.

  • DTS calculates the latency of an incremental data migration based on the timestamp of the latest migrated data in the target database and the current timestamp in the source database. If no update operation is performed on the source database for a long time, the migration latency may be inaccurate. If the latency displayed for the task is too large, you can perform an update operation on the source database to update the latency information.

  • If a DTS task fails to run, DTS technical support will try to restore the task within 8 hours. During the restoration, the task may be restarted, and the parameters of the task may be modified.

    Note

    Only the parameters of the task may be modified. The parameters of databases are not modified. The parameters that may be modified include but are not limited to the parameters in the "Modify instance parameters" section of the Modify the parameters of a DTS instance topic.

Billing overview

Migration type

Link configuration fee

Data transfer cost

Full data migration

Free of charge.

A fee is charged when data is migrated out of Alibaba Cloud through the Internet. For more information, see Billing overview.

Incremental data migration

A fee is charged. For more information, see Billing overview.

Migration types

Migration type

Description

Full data migration

DTS migrates the historical data of objects from the source ApsaraDB for MongoDB instance to the destination AnalyticDB for PostgreSQL instance.

Incremental data migration

After full data migration is complete, DTS migrates incremental data from the source ApsaraDB for MongoDB instance to the destination AnalyticDB for PostgreSQL instance.

Note
  • Only the operations that are performed to insert, update, or delete documents in a collection can be migrated during incremental data migration.

  • When migrating incremental update documents, only operations updated using the $set command are supported.

Permissions required for database accounts

Database type

Full data migration

Incremental data migration

References

Source ApsaraDB for MongoDB instance

Read permissions on the source database

Read permissions on the source database, the admin database, and the local database

Manage the permissions of MongoDB database users

Destination AnalyticDB for PostgreSQL instance

Read and write permissions on the destination database

Create and manage a database account and Manage users and permissions

Note

You can use the initial account or an account that has the RDS_SUPERUSER permission.

Procedure

  1. Use one of the following methods to go to the Data Migration page and select the region in which the data migration instance resides.

    DTS console

    1. Log on to the DTS console.

    2. In the left-side navigation pane, click Data Migration.

    3. In the upper-left corner of the page, select the region in which the data migration instance resides.

    DMS console

    Note

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

    1. Log on to the DMS console.

    2. In the top navigation bar, move the pointer over Data + AI > DTS (DTS) > Data Migration .

    3. From the drop-down list to the right of Data Migration Tasks, select the region in which the data synchronization instance resides.

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

  3. Configure the source and destination databases. The following table describes the parameters.

    Section

    Parameter

    Description

    N/A

    Task Name

    The name of the DTS task. DTS automatically generates a task name. We recommend that you specify a descriptive name that makes it easy to identify the task. You do not need to specify a unique task name.

    Source Database

    Select Existing Connection

    • If you use a database instance that is registered with DTS, select the instance from the drop-down list. DTS automatically populates the following database parameters for the instance. For more information, see Manage database connections.

      Note

      In the DMS console, you can select the database instance from the Select a DMS database instance drop-down list.

    • If you fail to register the instance with DTS, or you do not need to use the instance that is registered with DTS, you must configure the following database information.

    Database Type

    The type of the source database. Select MongoDB.

    Access Method

    The access method of the source database. Select Alibaba Cloud Instance.

    Instance Region

    The region in which the source ApsaraDB for MongoDB instance resides.

    Replicate Data Across Alibaba Cloud Accounts

    In this example, a database instance of the current Alibaba Cloud account is used. Select No.

    Architecture

    The architecture of the source ApsaraDB for MongoDB instance. In this example, Replica Set is selected.

    Note

    If the source database is an ApsaraDB for MongoDB Sharded Cluster instance, you must specify Shard account and Shard password.

    Migration Method

    Select the method for incremental data migration based on your actual situation.

    • Oplog (recommended):

      If the source database has enabled Oplog, this option is supported.

      Note

      Local self-managed MongoDB and ApsaraDB for MongoDB have Oplog enabled by default. When migrating incremental data using this method, the delay of the incremental migration task is small (the speed of pulling logs is fast). Therefore, it is recommended to select Oplog.

    • ChangeStream: If the source database has enabled Change Streams (Change Streams), this option is supported.

      Note
      • When the source database is Amazon DocumentDB (non-elastic cluster), only ChangeStream is supported.

      • When the Architecture of the source database is selected as Sharded Cluster, there is no need to fill in the Shard account and Shard password.

    Instance ID

    The ID of the source ApsaraDB for MongoDB instance.

    Authentication Database

    The name of the authentication database that stores the database accounts and passwords of the source ApsaraDB for MongoDB instance. If you did not change the name before, the default value admin is used.

    Database Account

    The database account of the source ApsaraDB for MongoDB instance. For more information about the permissions that are required for the account, see the Permissions required for database accounts section of this topic.

    Database Password

    The password that is used to access the database.

    Encryption

    Specifies whether to encrypt the connection to the source database. You can select Non-encrypted, SSL-encrypted, or Mongo Atlas SSL based on your business requirements. The options available for the Encryption parameter are determined by the values selected for the Access Method and Architecture parameters. The options displayed in the DTS console prevail.

    Note
    • If the Architecture parameter is set to Sharded Cluster, and the Migration Method parameter is set to Oplog for the ApsaraDB for MongoDB database, the Encryption parameter SSL-encrypted is unavailable.

    • If the source database is a self-managed MongoDB database that uses the Replica Set architecture, the Access Method parameter is not set to Alibaba Cloud Instance, and the Encryption parameter is set to SSL-encrypted, you can upload a certification authority (CA) certificate to verify the connection to the source database.

    Destination Database

    Select Existing Connection

    • If you use a database instance that is registered with DTS, select the instance from the drop-down list. DTS automatically populates the following database parameters for the instance. For more information, see Manage database connections.

      Note

      In the DMS console, you can select the database instance from the Select a DMS database instance drop-down list.

    • If you fail to register the instance with DTS, or you do not need to use the instance that is registered with DTS, you must configure the following database information.

    Database Type

    The type of the destination database. Select AnalyticDB for PostgreSQL.

    Access Method

    The access method of the destination database. Select Alibaba Cloud Instance.

    Instance Region

    The region in which the destination AnalyticDB for PostgreSQL instance resides.

    Instance ID

    The ID of the destination AnalyticDB for PostgreSQL instance.

    Database Name

    The name of the database that is used to receive the objects to be migrated in the destination AnalyticDB for PostgreSQL instance.

    Database Account

    The database account of the destination AnalyticDB for PostgreSQL instance. For information about the permissions that are required for the account, see the Permissions required for database accounts section of this topic.

    Database Password

    The password that is used to access the database.

  4. In the lower part of the page, click Test Connectivity and Proceed.

    Note
    • Make sure that the CIDR blocks of DTS servers can be automatically or manually added to the security settings of the source and destination databases to allow access from DTS servers. For more information, see Add the CIDR blocks of DTS servers.

    • If the source or destination database is a self-managed database and its Access Method is not set to Alibaba Cloud Instance, click Test Connectivity in the CIDR Blocks of DTS Servers dialog box.

  5. Configure the objects to be migrated.

    1. On the Configure Objects page, configure the objects that you want to migrate.

      Parameter

      Description

      Migration Types

      • To perform only full data migration, select only Full Data Migration.

      • To ensure service continuity during data migration, select Full Data Migration and Incremental Data Migration.

      Note

      If you do not select Incremental Data Migration, we recommend that you do not write data to the source database during data migration. This ensures data consistency between the source and destination databases.

      DDL and DML Operations to Be Synchronized

      The DDL and DML operations that you want to migrate at the instance level during incremental data migration.

      Note

      To migrate DDL and DML operations at the collection level during incremental data migration, right-click a collection in the Selected Objects section. In the dialog box that appears, select the operations that you want to migrate.

      Processing Mode of Conflicting Tables

      • Precheck and Report Errors: checks whether the destination database contains collections that have the same names as collections in the source database. If the source and destination databases do not contain collections that have identical names, the precheck is passed. Otherwise, an error is returned during the precheck and the data migration task cannot be started.

        Note

        If the source and destination databases contain collections with identical names and the collections in the destination database cannot be deleted or renamed, you can use the object name mapping feature to rename the collections that are migrated to the destination database. For more information, see Map object names.

      • Ignore Errors and Proceed: skips the precheck for identical collection names in the source and destination databases.

        Warning

        If you select Ignore Errors and Proceed, data consistency is not ensured and your business may be exposed to potential risks.

        • DTS does not migrate data records that have the same primary keys as data records in the destination database.

        • Data may fail to be initialized, only specific columns are migrated, or the data migration task fails.

      Source Objects

      Select one or more objects from the Source Objects section. Click the 向右小箭头 icon to add the objects to the Selected Objects section.

      Note

      You can select collections as the objects to be migrated.

      Selected Objects

      1. Modify the database name.

        1. In the Selected Objects section, right-click the database to which the collections to be migrated belong.image

        2. Change the value of Database Name to the name of the schema that is used to receive data in the destination AnalyticDB for PostgreSQL instance. image

        3. Optional. In the Select DDL and DML Operations to Be Synchronized section, you can select the operations that you want to migrate during incremental data migration. image

        4. Click OK.

      2. Modify table names.

        1. In the Selected Objects section, right-click a collection to be migrated.image

        2. Change the value of Table Name to the name of the table that is used to receive data in the destination AnalyticDB for PostgreSQL instance.image

        3. Optional. You can specify conditions to filter data. For more information, see Specify filter conditions. image

        4. Optional. In the Select DDL and DML Operations to Be Synchronized section, you can select the operations that you want to migrate during incremental data migration. image

      3. Specify the fields to be migrated from the source ApsaraDB for MongoDB instance.

        DTS defaults to map data of the collection to be migrated and configure an expression in the Assign Value column. You need to check that the expression meets your business requirements and configure parameters such as Column Name, Type, Length, and Precision.

        Important
        • Assign the primary key column of the destination table as bson_value("_id").

        • Specify the field and subfield of each column in the bson_value() expression based on the hierarchical relationship. Otherwise, data loss may occur or the task may fail.

        1. View the field name of a column in the ApsaraDB for MongoDB instance in the bson_value() expression.

          The field in the "" of the expression is the field name in the ApsaraDB for MongoDB instance. For example, if the expression is bson_value("age"), the age is the field name in the ApsaraDB for MongoDB instance.

        2. Optional: You can delete the fields that do not need to be migrated.

          Note

          Click the image icon next to the column to delete the fields that do not meed to be migrated.

        3. Configure fields to be migrated.

          Check that the bson_value() expression meets your business requirements and perform subsequent operations.

          The expression meets required fields

          1. Enter Column Name.

            Note

            Enter the name of the column that receives data in the destination AnalyticDB for PostgreSQL instance.

          2. Select Type of the column data.

            Important

            Make sure that the data type of the destination table is compatible with the data type in the source ApsaraDB for MongoDB instance..

          3. Optional: Specify Length and Precision for the column data.

          4. Repeat the preceding steps to map the fields one by one.

          The expression does not meet required fields

          Note

          For example, the fields that displays the hierarchical relationships between parent and child.

          1. Click the image icon next to the column in the Actions column.

          2. Click + Add Column.image

          3. Specify the Column Name, Type, Length, and Precision parameters.

          4. Enter bson_value() expression in the Assign Value column. For more information, see Example of value assignment.

          5. Repeat the preceding steps to map the fields one by one.

      4. Click OK.

    2. Click Next: Advanced Settings to configure advanced settings.

      Parameter

      Description

      Dedicated Cluster for Task Scheduling

      By default, DTS schedules the data migration task to the shared cluster if you do not specify a dedicated cluster. If you want to improve the stability of data migration tasks, purchase a dedicated cluster. For more information, see What is a DTS dedicated cluster.

      Retry Time for Failed Connections

      The retry time range for failed connections. If the source or destination database fails to be connected after the data migration task is started, DTS immediately retries a connection within the retry time range. Valid values: 10 to 1,440. Unit: minutes. Default value: 720. We recommend that you set the parameter to a value greater than 30. If DTS is reconnected to the source and destination databases within the specified retry time range, DTS resumes the data migration task. Otherwise, the data migration task fails.

      Note
      • If you specify different retry time ranges for multiple data migration tasks that share the same source or destination database, the value that is specified later takes precedence.

      • When DTS retries a connection, you are charged for the DTS instance. We recommend that you specify the retry time range based on your business requirements. You can also release the DTS instance at the earliest opportunity after the source database and destination instance are released.

      Retry Time for Other Issues

      The retry time range for other issues. For example, if DDL or DML operations fail to be performed after the data migration task is started, DTS immediately retries the operations within the retry time range. Valid values: 1 to 1440. Unit: minutes. Default value: 10. We recommend that you set the parameter to a value greater than 10. If the failed operations are successfully performed within the specified retry time range, DTS resumes the data migration task. Otherwise, the data migration task fails.

      Important

      The value of the Retry Time for Other Issues parameter must be smaller than the value of the Retry Time for Failed Connections parameter.

      Enable Throttling for Full Data Migration

      Specifies whether to enable throttling for full data migration. During full data migration, DTS uses the read and write resources of the source and destination databases. This may increase the loads of the database servers. You can enable throttling for full data migration based on your business requirements. To configure throttling, you must configure the Queries per second (QPS) to the source database, RPS of Full Data Migration, and Data migration speed for full migration (MB/s) parameters. This reduces the loads of the destination database server.

      Note

      You can configure this parameter only if you select Full Data Migration for the Migration Types parameter.

      Only one data type for primary key _id in a single table

      For the data to be migrated, whether the data type of the primary key _id is unique within the same collection.

      Note

      This configuration is only available when the Migration Types is set to Full Data Migration.

      • Yes: Unique. DTS does not scan the data type of the primary key in the source data during the full migration phase from the source database.

      • No: Indicates non-uniqueness. During the full migration phase, DTS scans the data type of the primary key in the source data slated for migration from the source database.

      Enable Throttling for Incremental Data Migration

      Specifies whether to enable throttling for incremental data migration. To configure throttling, you must configure the RPS of Incremental Data Migration and Data migration speed for incremental migration (MB/s) parameters. This reduces the loads of the destination database server.

      Note

      You can configure this parameter only if you select Incremental Data Migration for the Migration Types parameter.

      Environment Tag

      The environment tag that is used to identify the DTS instance. You can select an environment tag based on your business requirements. In this example, you do not need to configure this parameter.

      Configure ETL

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

      Monitoring and Alerting

      Specifies whether to configure alerting for the data migration task. If the task fails or the migration latency exceeds the specified threshold, the alert contacts receive notifications. Valid values:

  6. Save the task settings and run a precheck.

    • To view the parameters to be specified when you call the relevant API operation to configure the DTS task, move the pointer over Next: Save Task Settings and Precheck and click Preview OpenAPI parameters.

    • If you do not need to view or have viewed the parameters, click Next: Save Task Settings and Precheck in the lower part of the page.

    Note
    • Before you can start the data migration task, DTS performs a precheck. You can start the data migration task only after the task passes the precheck.

    • If the task fails to pass the precheck, click View Details next to each failed item. After you analyze the causes based on the check results, troubleshoot the issues. Then, run a precheck again.

    • If an alert is triggered for an item during the precheck:

      • If an alert item cannot be ignored, click View Details next to the failed item and troubleshoot the issues. Then, run a precheck again.

      • If the alert item can be ignored, click Confirm Alert Details. In the View Details dialog box, click Ignore. In the message that appears, click OK. Then, click Precheck Again to run a precheck again. If you ignore the alert item, data inconsistency may occur, and your business may be exposed to potential risks.

  7. Purchase an instance.

    1. Wait until Success Rate becomes 100%. Then, click Next: Purchase Instance.

    2. On the Purchase Instance page, configure the Instance Class parameter for the data migration instance. The following table describes the parameters.

      Section

      Parameter

      Description

      New Instance Class

      Resource Group

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

      Instance Class

      DTS provides instance classes that vary in the migration speed. You can select an instance class based on your business scenario. For more information, see Instance classes of data migration instances.

    3. Read and agree to Data Transmission Service (Pay-as-you-go) Service Terms by selecting the check box.

    4. Click Buy and Start. In the message that appears, click OK.

      You can view the progress of the task on the Data Migration page.

      Note
      • If a data migration task cannot be used to migrate incremental data, the task automatically stops. The Completed is displayed in the Status section.

      • If a data migration task can be used to migrate incremental data, the task does not automatically stop. The incremental data migration task never stops or completes. The Running is displayed in the Status section.

Example of value assignment

Data structure of the source ApsaraDB for MongoDB instance

{
  "_id":"62cd344c85c1ea6a2a9f****",
  "person":{
    "name":"neo",
    "age":26,
    "sex":"male"
  }
}

Table schema of the destination AnalyticDB for PostgreSQL instance

Column name

Type

mongo_id

varchar

Note

The primary key column.

person_name

varchar

person_age

decimal

Configuration of additional columns

Important

Ensure the bson_value() expression is configured correctly to reflect the hierarchical relationship, to prevent data loss or task failure. For instance, configuring the expression as bson_value("person") means DTS cannot write incremental changes of subfields such as name, age, or sex within the person field from the source to the target.

Column name

Type

Value

mongo_id

STRING

bson_value("_id")

person_name

STRING

bson_value("person","name")

person_age

DECIMAL

bson_value("person","age")