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

Last Updated:Sep 30, 2024

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

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 node or the ConfigServer node in a sharded cluster instance.

Usage notes

Category

Description

Limits on the source database

  • Bandwidth requirements: The server on which the source database is deployed must have sufficient outbound bandwidth. Otherwise, the data synchronization speed is affected.

  • If you want to modify collections in the destination database, such as configuring name mapping for collections, you can synchronize up to 1,000 collections in a single data synchronization task. If you run a task to synchronize more than 1,000 collections, a request error occurs. In this case, we recommend that you configure multiple tasks to synchronize the collections or configure a task to synchronize the entire database.

  • 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.

  • The operation logging feature must be enabled for the destination ApsaraDB for MongoDB instance. Otherwise, error messages are returned during the precheck and the data synchronization task cannot be started.

    Note

    The operation logs of the source database must be retained for at least seven days. Otherwise, DTS may fail to obtain the operation logs, which causes the task to fail, or even data inconsistency and data loss. Make sure that you set the retention period of operation logs based on the preceding requirements. Otherwise, the service level agreement (SLA) of DTS does not guarantee service reliability or performance.

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

    • During full data synchronization, do not change the schemas of databases or collections. Otherwise, the data synchronization task fails.

    • If you perform only full data synchronization, do not write data to the source database during data synchronization. Otherwise, data inconsistency may occur between the source and destination databases. To ensure data consistency, we recommend that you select full data synchronization and incremental data synchronization as the synchronization types.

Other limits

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

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

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

  • Transaction information is not retained. When transactions are synchronized to the destination database, the transactions are converted into single records.

  • 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. During full data synchronization, DTS uses the read and write resources of the source and destination databases. This may increase the loads on the database servers.

  • During full data synchronization, concurrent INSERT operations cause fragmentation in the collections of the destination database. After full data synchronization is complete, the storage usage of collections in the destination database is larger than that of collections in the source database.

  • Make sure that the precision settings for columns of the FLOAT or DOUBLE data type meet your business requirements. DTS uses the ROUND(COLUMN,PRECISION) function to retrieve values from columns of the FLOAT or DOUBLE data type. 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 data synchronization tasks that failed within the last seven days. Before you switch your workloads to the destination database, you must stop or release the failed tasks. You can also execute the REVOKE statement to revoke the write permissions from the accounts that are used by DTS to access the destination database. Otherwise, the data in the source database overwrites the data in the destination instance after the task is automatically resumed.

  • DTS calculates the latency of incremental data synchronization based on the timestamp of the latest synchronized data in the destination database and the current timestamp in the source database. If no update operation is performed on the source database for an extended period of time, the synchronization latency may be inaccurate. If the latency of the data synchronization task is excessively high, you can perform an update operation on the source database to update the latency.

Billing

Synchronization type

Task configuration fee

Full data synchronization

Free of charge.

Incremental data synchronization

Charged. For more information, see Billing overview.

Synchronization types

Synchronization type

Description

Full data synchronization

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

Incremental data synchronization

After full data synchronization is complete, DTS synchronizes 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 synchronized during incremental data synchronization.

Permissions required for database accounts

Database

Required permissions

References

Source MongoDB instance

Read permissions on the source, admin, and local databases.

Manage the permissions of MongoDB database users

Destination AnalyticDB for PostgreSQL instance

Read and write permissions on the destination database

Create 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. Go to the Data Synchronization Tasks page.

    1. Log on to the DMS console.

    2. In the top navigation bar, move the pointer over Data Development.

    3. Choose DTS (DTS) > Data Synchronization.

    Note
  2. On the right side of Data Synchronization Tasks, select the region in which the data synchronization instance resides.

    Note

    If you use the new DTS console, select the region in which you want to create the data synchronization task in the top navigation bar.

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

  4. Optional. In the upper-right corner of the page, click New Configuration Page.

    Note
    • Skip this step if the Back to Previous Version button is displayed in the upper-right corner of the page.

    • Specific parameters in the new and previous versions of the configuration page may be different. We recommend that you use the new version of the configuration page.

  5. 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 a DMS database instance.

    The database instance that you want to use. You can choose whether to use an existing instance based on your business requirements.

    • If you select an existing instance, DTS automatically populates the parameters for the database.

    • If you do not select an existing instance, you must configure the following database information.

    Note

    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 in which the source instance is deployed. In this example, Replica Set is selected.

    Note

    If the source ApsaraDB for MongoDB instance is deployed in the Sharded Cluster architecture, you must configure the Shard account and Shard password parameters.

    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 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 instance.

    Encryption

    Specifies whether to encrypt the connection to the source database. Select Non-encrypted or SSL-encrypted based on your business requirements.

    Note
    • This parameter is valid only if the source ApsaraDB for MongoDB instance is deployed in the Replica Set architecture.

    • If the source database is a self-managed ApsaraDB for MongoDB Replica Set instance and Encryption is set to SSL-encrypted, you can upload a certification authority (CA) certificate to verify the connection to the source database.

    Destination Database

    Select a DMS database instance.

    The database instance that you want to use. You can choose whether to use an existing instance based on your business requirements.

    • If you select an existing instance, DTS automatically populates the parameters for the database.

    • If you do not select an existing instance, you must configure the following database information.

    Note

    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 synchronized objects 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 instance.

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

    If the source or destination database is an Alibaba Cloud database instance, such as an ApsaraDB RDS for MySQL or ApsaraDB for MongoDB instance, DTS automatically adds the CIDR blocks of DTS servers to the whitelist of the instance. If the source or destination database is a self-managed database hosted on an Elastic Compute Service (ECS) instance, DTS automatically adds the CIDR blocks of DTS servers to the security group rules of the ECS instance, and you must make sure that the ECS instance can access the database. If the database is deployed on multiple ECS instances, you must manually add the CIDR blocks of DTS servers to the security group rules of each ECS instance. If the source or destination database is a self-managed database that is deployed in a data center or provided by a third-party cloud service provider, you must manually add the CIDR blocks of DTS servers to the whitelist of the database to allow DTS to access the database. For more information, see the CIDR blocks of DTS servers section of the Add the CIDR blocks of DTS servers topic.

    Warning

    If the CIDR blocks of DTS servers are automatically or manually added to the whitelist of the database or instance, or to the ECS security group rules, security risks may arise. Therefore, before you use DTS to synchronize data, you must understand and acknowledge the potential risks and take preventive measures, including but not limited to the following measures: enhancing the security of your username and password, limiting the ports that are exposed, authenticating API calls, regularly checking the whitelist or ECS security group rules and forbidding unauthorized CIDR blocks, or connecting the database to DTS by using Express Connect, VPN Gateway, or Smart Access Gateway.

  7. Configure the objects to be synchronized.

    1. On the Select Objects page, configure the objects that you want to synchronize.

      Parameter

      Description

      Synchronization Types

      By default, Incremental Data Synchronization is selected. You can select only Full Data Synchronization. You cannot select Schema Synchronization. After the precheck is complete, DTS synchronizes the historical data of the selected objects from the source database to the destination database. The historical data is the basis for subsequent incremental synchronization.

      DDL and DML Operations to Be Synchronized

      Select the DDL and DML operations that you want to synchronize at the instance level during incremental data synchronization.

      Note

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

      Processing Mode of Conflicting Tables

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

        Note

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

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

        Warning

        If you select Ignore Errors and Proceed, data inconsistency may occur and your business may be exposed to potential risks.

        • If the source and destination databases have the same schema and a data record in the destination database has the same primary key value or unique key value as a data record in the source database:

          • During full data synchronization, DTS does not synchronize the data record to the destination database. The existing data record in the destination database is retained.

          • During incremental data synchronization, DTS synchronizes the data record to the destination database. The existing data record in the destination database is overwritten.

        • If the source and destination databases have different schemas, data may fail to be initialized. In this case, only some columns are synchronized, or the data synchronization task fails. Proceed with caution.

      Source Objects

      Select one or more objects from the Source Objects section and click the 向右 icon to add the objects to the Selected Objects section.

      Note

      You can select collections as the objects to be synchronized.

      Selected Objects

      1. Modify the database name.

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

        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.

        3. Optional. In the Select DDL and DML Operations to Be Synchronized section, select the operations that you want to synchronize during incremental data synchronization.

        4. Click OK.

      2. Modify table names.

        1. In the Selected Objects section, right-click a collection.

        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.

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

        4. Optional. In the Select DDL and DML Operations to Be Synchronized section, select the operations that you want to synchronize during incremental data synchronization.

      3. Specify the columns to be synchronized from the source ApsaraDB for MongoDB instance.

        1. In the Appended Column section, click Add Column.

        2. Specify Column Name.

          Note

          Enter the name of the column in the table that is used to receive data in the destination AnalyticDB for PostgreSQL instance.

        3. Select a data type for each column.

          Important

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

        4. Optional. Specify a data length and a precision for each column.

        5. Enter bson_value() expressions in the Assign Value column. For more information, see the Example of value assignment section of this topic.

          Important
          • You must assign bson_value("_id") to the primary key column of the destination table.

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

        6. Repeat the preceding steps to map the fields of the source table to the fields of the destination table.

        7. Click OK.

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

      Parameter

      Description

      Dedicated Cluster for Task Scheduling

      By default, DTS schedules tasks to shared clusters. You do not need to configure this parameter. If you want to improve the stability of data synchronization 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 synchronization task is started, DTS immediately retries a connection within the time range. Valid values: 10 to 1440. Unit: minutes. Default value: 720. We recommend that you set this parameter to a value greater than 30. If DTS reconnects to the source and destination databases within the specified time range, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.

      Note
      • If you specify different retry time ranges for multiple data synchronization tasks that have the same source or destination database, the shortest retry time range 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 your earliest opportunity after the source and destination instances are released.

      Retry Time for Other Issues

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

      During full data synchronization, DTS uses the read and write resources of the source and destination databases. This may increase the load on the database servers. You can 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 for full data synchronization tasks to reduce the load on the destination database server.

      Note

      This parameter is displayed only if Full Data Synchronization is selected for the Synchronization Types parameter.

      Enable Throttling for Incremental Data Synchronization

      Specifies whether to enable throttling for incremental data synchronization. You can enable throttling for incremental data synchronization based on your business requirements. To configure throttling, you must configure the RPS of Incremental Data Synchronization and Data synchronization speed for incremental synchronization (MB/s) parameters. This reduces the load on the destination database server.

      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 synchronization task. If the task fails or the synchronization latency exceeds the specified threshold, alert contacts will receive notifications. Valid values:

  8. 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 synchronization task, DTS performs a precheck. You can start the data synchronization task only after the task passes the precheck.

    • If the data synchronization task fails the precheck, click View Details next to each failed item. After you analyze the causes based on the check results, troubleshoot the issues. Then, rerun the precheck.

    • 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 issue. Then, run a precheck again.

      • If an 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.

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

  10. Purchase a data synchronization instance.

    1. On the buy page, configure the Billing Method and Instance Class parameters for the data synchronization instance. The following table describes the parameters.

      Section

      Parameter

      Description

      New Instance Class

      Billing Method

      • Subscription: You pay for a subscription when you create a data synchronization instance. The subscription billing method is more cost-effective than the pay-as-you-go billing method for long-term use.

      • Pay-as-you-go: A pay-as-you-go instance is billed on an hourly basis. The pay-as-you-go billing method is suitable for short-term use. If you no longer require a pay-as-you-go data synchronization instance, you can release the instance to reduce costs.

      Resource Group Settings

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

      Instance Class

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

      Subscription Duration

      If you select the subscription billing method, specify the subscription duration and the number of data synchronization instances that you want to create. The subscription duration can be one to nine months, one year, two years, three years, or five years.

      Note

      This parameter is available only if you select the Subscription billing method.

    2. Read and select Data Transmission Service (Pay-as-you-go) Service Terms.

    3. Click Buy and Start. In the dialog box that appears, click OK.

      You can view the progress of the task in the task list.

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

You must specify the field and subfield of each column in the corresponding bson_value() expression based on the hierarchical relationship. Otherwise, data loss may occur or the task may fail. For example, if you specify only the person field of the source column by using the bson_value("person") expression, DTS cannot write the incremental data in the subfields of the person field, such as name, age, and sex, to the destination column.

Column name

Type

Value

mongo_id

STRING

bson_value("_id")

person_name

STRING

bson_value("person","name")

person_age

DECIMAL

bson_value("person","age")