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Data Transmission Service:Synchronize data from an ApsaraDB for MongoDB instance to a Lindorm instance

Last Updated:Aug 15, 2025

This topic describes how to synchronize data from an ApsaraDB for MongoDB replica set or sharded cluster instance to a Lindorm instance by using Data Transmission Service (DTS). Lindorm is stable, cost-effective, and easy to use. Lindorm provides flexible and reliable features that allow you to store various types of data, such as metadata, orders, bills, profiles, and social networking information, with high concurrency and low latency.

Prerequisites

  • An ApsaraDB for MongoDB instance that resides in the Germany (Frankfurt) region is created.

  • The ApsaraDB for MongoDB instance is deployed in the replica set or sharded cluster architecture.

    Important

    If the source instance is an ApsaraDB for MongoDB sharded cluster instance, endpoints are assigned to the shard nodes and the shard nodes share the same account and password. For more information, see Apply for an endpoint for a shard.

  • A Lindorm instance is created, whose available storage space is larger than the total size of the data in the source ApsaraDB for MongoDB instance. The wide table engine is used for the Lindorm instance. For more information, see Create an instance.

    Note

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

  • A wide table is created in the Lindorm instance. For more information, see Use Lindorm-cli to connect to and use LindormTable and Use Lindorm Shell to connect to LindormTable.

    Note

Usage notes

Category

Description

Limits on the source database

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

  • The collections to be synchronized must have PRIMARY KEY or UNIQUE constraints and all fields must be unique. Otherwise, the destination database may contain duplicate data records.

  • If the source database is an ApsaraDB for MongoDB sharded cluster instance, the _id field in the collection to be synchronized must be unique. Otherwise, data inconsistency may occur.

  • If the source database is an ApsaraDB for MongoDB sharded cluster instance, the number of Mongos nodes in the instance cannot exceed 10.

  • If you select collections as the objects to be synchronized and you need to edit collections in the destination database, such as renaming collections, up to 1,000 collections can be synchronized 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 in batches, or configure a task to synchronize the entire database.

  • The size of a single data entry to be synchronized from the source database cannot exceed 16 MB. Otherwise, the task fails.

  • The source database cannot be an Azure Cosmos DB for MongoDB cluster or an Amazon DocumentDB elastic cluster.

  • The oplog feature must be enabled for the source database and must retain log data for at least seven days. Alternatively, change streams must be enabled to ensure that DTS can subscribe to data changes in the source database within the last seven days. Otherwise, DTS may fail to obtain data changes in the source database and data synchronization fails. In some circumstances, data inconsistency or data loss may occur. Issues that arise in such circumstances are not covered by the service level agreement (SLA) of DTS.

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

    • Only MongoDB 4.0 and later allow you to use change streams to obtain data changes in the source database. Two-way synchronization is not supported when you use change streams to obtain data changes in the source database.

    • If the source database is a non-elastic Amazon DocumentDB cluster, you must enable change streams and set the Migration Method parameter to ChangeStream and the Architecture parameter to Sharded Cluster.

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

    • During full data synchronization, do not change the schemas of databases or collections or data of the ARRAY type. Otherwise, the data synchronization task fails, or data inconsistency occurs between the source and destination databases.

    • If you perform only full data synchronization, do not write data to the source database during data synchronization.

    • If the source MongoDB instance uses the sharded cluster architecture, do not run commands that change the data distribution of the objects to be synchronized during the synchronization task. These commands include shardCollection, reshardCollection, unshardCollection, moveCollection, and movePrimary. Otherwise, data inconsistency may occur.

  • If the source database contains TTL indexes, data inconsistency may occur between the source and destination databases after the synchronization.

  • 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.

  • If the source database is a MongoDB instance that uses the sharded cluster architecture and the balancer of the source database balances data, latency may occur in the instance.

  • DTS cannot connect MongoDB database over a SRV endpoint.

Other limits

  • Only synchronization tasks within the Germany (Frankfurt) region are supported.

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

  • The destination Lindorm instance cannot contain collections that have the _id or _value column. Otherwise, the data synchronization task fails.

  • To synchronize UPDATE or DELETE operations during incremental data synchronization, take note of the following limits:

    • If the wide table is created by executing Lindorm SQL statements, you must add a non-primary key column named _mongo_id_ when you create the table. The data type of the column is determined by that of the _id column in the source ApsaraDB for MongoDB instance. In addition, you must create a secondary index on the non-primary key column.

    • If the wide table is created by calling the Apache HBase API, you must add a non-primary key column named _mongo_id_ whose column family is f when you create the table. The data type of the column is determined by that of the _id column in the source ApsaraDB for MongoDB instance. In addition, you must create a secondary index on the non-primary key column. If you want to add additional columns and use the extract, transform, and load (ETL) feature, make sure that the Lindorm instance does not contain duplicate data.

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

  • The data to be synchronized in the Lindorm instance must meet the requirements specified in Limits on data requests. Otherwise, the task fails.

  • 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.

  • 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 DTS 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

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 all the existing data of the selected objects from the source ApsaraDB for MongoDB instance to the destination Lindorm instance.

Note

DTS supports full data synchronization for the following types of objects: database and collection.

Incremental data synchronization

DTS synchronizes incremental data from the source ApsaraDB for MongoDB instance to the destination Lindorm instance.

Note
  • Only the insert, update, and delete operations of documents on collections are supported.

  • When a DTS task synchronizes incremental data of a file, Only $set command can be synchronously run.

Permissions required for database accounts

Database type

Required permissions

Account creation and authorization

Source ApsaraDB for MongoDB instance

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

Manage the permissions of MongoDB database users

Destination Lindorm instance

Read and write permissions on the namespaces in the destination Lindorm instance.

Permission management for access control

Procedure

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

    DTS console

    1. Log on to the DTS console.

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

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

    DMS console

    Note

    The actual operations 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 and choose DTS (DTS) > Data Synchronization.

    3. From the drop-down list to the right of Data Synchronization 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.

    Category

    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

    Specifies whether data is synchronized across Alibaba Cloud accounts. In this example, No is selected.

    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.

    Migration Method

    The method used to synchronize incremental data from the source database. Select a method based on your business requirements. Valid values:

    • Oplog (recommended):

      This option is available if the oplog feature is enabled for the source database.

      Note

      By default, the oplog feature is enabled for both self-managed MongoDB databases and ApsaraDB for MongoDB instances. This feature allows you to synchronize incremental data at a low latency because of a fast log pulling speed. Therefore, we recommend that you select Oplog for the Migration Method parameter.

    • ChangeStream:

      This option is available if change streams are enabled for the source database. For more information, see Change Streams.

      Note
      • If the source database is an inelastic Amazon DocumentDB cluster, you can set the Migration Method parameter only to ChangeStream.

      • If you select Sharded Cluster for the Architecture parameter, you do not need to 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 database accounts and passwords of the source ApsaraDB for MongoDB instance. If you did not change the name before, the default value is admin.

    Database Account

    The database account of the source ApsaraDB for MongoDB instance. For more information about the required permissions, 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 Lindorm.

    Access Method

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

    Instance Region

    The region in which the destination Lindorm instance resides.

    Instance ID

    The ID of the destination Lindorm instance.

    Database Account

    The database account of the destination Lindorm 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.

  4. Click Test Connectivity and Proceed in the lower part of the page.

    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 synchronized.

    1. In the Configure Objects step, 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.

      Processing Mode of Conflicting Tables

      Retain the default settings.

      Capitalization of Object Names in Destination Instance

      The capitalization of database names and collection names in the destination instance. By default, DTS default policy is selected. You can select other options to ensure that the capitalization of object names is consistent with the default capitalization of object names in the source or destination database. For more information, see Specify the capitalization of object names in the destination instance.

      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

      If the wide table in the destination database is created by executing SQL statements, you must add additional columns to the wide table based on the objects to be synchronized from the source database. Columns that exist in the source database but are not added to the wide table are not synchronized to the destination database.

      1. Edit the database name.

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

        2. In the Edit Schema dialog box, enter the database name that you want to use in the Lindorm instance in the Schema Name field.

          image.png

        3. Optional. Select the operations that you want to synchronize during incremental data synchronization in the Select DML Operations to Be Synchronized section.

        4. Click OK.

      2. Edit table names.

        1. In the Selected Objects section, right-click the collection that you want to synchronize.

        2. In the Edit Table Name dialog box, enter the table name that you want to use in the Lindorm instance in the Table Name field.

          image.png

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

        4. Optional. Select the operations that you want to synchronize during incremental data synchronization in the Select DML Operations to Be Synchronized section.

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

        By default, DTS maps the data of a collection to be synchronized and configures an expression in the Assign Value column. You must check whether the expression meets your requirements and specify the Column Name, Type, Length, and Precision parameters.

        1. In the bson_value() expression of the Assign Value column, view the field name of the row of data in the ApsaraDB for MongoDB instance.

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

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

          Note

          Click the image icon after the row of data to delete fields that do not need to be synchronized.

        3. Specify the fields to be synchronized.

          Perform one of the following procedures based on whether the bson_value() expression meets your requirements.

          The expression meets field requirements

          1. Configure the Column Name parameter.

            Note

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

            • If the destination table is created by executing SQL statements, specify these column names as the value of the Column Name parameter.

            • If the destination table is created by calling the Apache HBase API and additional columns are required, you must create column mappings before you edit column names. For more information, see the Example of adding column mappings for a table created by calling the Apache HBase API section of this topic. Take note of the following rules when you specify the Column Name parameter:

              • If a column is a primary key, specify ROW as the column name.

              • If a column is not a primary key, specify the Column Name parameter in the Column family:Column name format. Example: person:name.

          2. 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.

          3. Optional: Specify a data length and a precision for each column.

          4. Repeat the preceding steps to map the columns of the source table onto the columns of the destination table.

          The expression does not meet field requirements

          Note

          For example, fields with hierarchical relationships such as parent-child structure.

          1. In the Actions column, click the image icon after the row of the data.

          2. Click + New Column.image

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

          4. Enter the bson_value() expression in the Assign Value field. 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.

          5. Repeat the preceding steps to map the columns of the source table onto the columns of the destination table.

      4. Click OK.

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

      Parameter

      Description

      Dedicated Cluster for Task Scheduling

      By default, DTS schedules the task to the shared cluster if you do not specify a dedicated cluster. If you want to improve the stability of data synchronization instances, 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 Synchronization

      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

      You can configure this parameter only if Full Data Synchronization is selected for the Synchronization Types parameter.

      Only one data type for primary key _id in a table of the data to be synchronized

      Whether the data type for primary key _id in a collection of the data to be synchronized is unique. Valid value:

      Note
      • Specify this parameter based on your business requirements. Otherwise, data may be lost.

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

      • Yes: The data type is unique. During full data synchronization, DTS does not scan the data type for primary key _id of the data to be synchronized from the source database. DTS synchronizes only the data of the primary key for a data type in a single collection.

      • No: The data type is not unique. During full data synchronization, DTS scans the data type for primary key _id of the data to be synchronized from the source database and synchronizes all data to be synchronized.

      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:

      Note

      If the destination table in the Lindorm instance is created by calling the Apache HBase API, take note of the following items:

      • You must specify the columns to be synchronized and those not to be synchronized in the ETL script. By default, the top-level fields of the specified documents in the ETL task are stored in the f column family of the table created by calling the Apache HBase API during data synchronization. The following code shows how to write data rows of columns other than _id and name as dynamic columns to the destination table. For more information, see the Example of configuring an ETL task for a table created by calling the Apache HBase API section of this topic.

        script:e_expand_bson_value("*", "_id,name")
      • If you want to add additional columns and use the ETL feature, make sure that the Lindorm instance does not contain duplicate data.

      • DTS does not synchronize the additional columns or columns that are not contained in the ETL task to the destination database.

      Monitoring and Alerting

      Specifies whether to configure alerting for the data synchronization instance. If the task fails or the synchronization latency exceeds the specified threshold, alert contacts will 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 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.

  7. Purchase an instance.

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

    2. On the buy page, configure the Billing Method and Instance Class parameters for the data synchronization task. 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.

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

    4. 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 adding column mappings for a table created by calling the Apache HBase API

In this example, SQL Shell is used.

Note

The engine version of the Lindorm instance must be 2.4.0 or later.

  1. Create a column mapping for the table created by calling the Apache HBase API:

    ALTER TABLE test MAP DYNAMIC COLUMN f:_mongo_id_ HSTRING/HINT/..., person:name HSTRING, person:age HINT;
  2. Create a secondary index for the table created by calling the Apache HBase API:

    CREATE INDEX idx ON test(f:_mongo_id_);

Example of configuring an ETL task for a table created by calling the Apache HBase API

A document in the source ApsaraDB for MongoDB instance

{
  "_id" : 0,
  "person" : {
    "name" : "cindy0",
    "age" : 0,
    "student" : true
  }
}

ETL syntax

script:e_expand_bson_value("*", "_id")

Synchronization result

迁移结果

Example of value assignment

Data structure of the source ApsaraDB for MongoDB instance

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

Schema of the destination table in the Lindorm instance.

Column name

Category

id

STRING

person_name

STRING

person_age

INT

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

Category

Value

id

STRING

bson_value("_id")

person_name

STRING

bson_value("person","name")

person_age

BIGINT

bson_value("person","age")