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ApsaraDB for MongoDB:Migrate data from a self-managed MongoDB database that uses the sharded cluster architecture to an ApsaraDB for MongoDB replica set or sharded cluster instance

Last Updated:Nov 20, 2024

This topic describes how to use Data Transmission Service (DTS) to migrate data from a self-managed MongoDB database that uses the sharded cluster architecture to an ApsaraDB for MongoDB replica set or sharded cluster instance. DTS allows you to migrate the existing and incremental data of on-premises databases to Alibaba Cloud without service interruptions.

Prerequisites

  • The destination ApsaraDB for MongoDB replica set or sharded cluster instance is created. For more information, see Create a replica set instance or Create a sharded cluster instance.

    Important
    • The available storage space of the destination ApsaraDB for MongoDB sharded cluster instance is 10% larger than the total size of the data in the source self-managed MongoDB database. This is a recommended prerequisite.

    • For more information about the supported database versions, see Overview of data migration scenarios.

  • The account that is used to access the shards in the source self-managed MongoDB database is created, and the shards share the same account and password.

  • If the destination ApsaraDB for MongoDB instance is a sharded cluster instance:

    • Each shard in the destination sharded cluster instance has sufficient storage space.

      Note

      For example, a self-managed MongoDB database has three shards, and one of these shards occupies a maximum storage space of 500 GB. In this case, the storage space of each shard in the destination instance must be larger than 500 GB.

    • Databases and collections to be sharded are created and data sharding is configured in the destination ApsaraDB for MongoDB sharded cluster instance based on your business requirements. The balancer is enabled, and pre-sharding is performed. For more information, see Configure sharding to maximize the performance of shards and the What do I do if the data of a MongoDB database deployed in the sharded cluster architecture is not evenly distributed? section of the FAQ topic.

      Note

      After you configure sharding for a sharded cluster instance, the migrated data is distributed among different shards. This maximizes the performance of the sharded cluster. You can also enable the balancer and perform pre-sharding to prevent data skew.

Usage notes

Category

Description

Limits on the source database

  • Bandwidth requirements: The server to which the source database belongs must have sufficient outbound bandwidth. Otherwise, the data migration speed decreases.

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

  • DTS uses the resources of the source and destination databases during full data migration. This may increase the loads on the database servers. If you migrate a large amount of data or if the server specifications do not meet your business requirements, database services may become unavailable. Before you migrate data, evaluate the impact of data migration on the performance of the source and destination databases. We recommend that you migrate data during off-peak hours.

  • If the source and destination MongoDB databases run different MongoDB versions or use different storage engines, make sure that the MongoDB versions or storage engines are compatible. For more information, see MongoDB versions and storage engines.

  • If you want to migrate incremental data, you must enable operational logging. Otherwise, error messages are returned during the precheck and the data migration task cannot be started.

    The operation logs of the source database must be retained for at least seven days. Otherwise, DTS may fail to obtain the operation logs and the task may fail. In exceptional circumstances, data inconsistency or loss may occur. 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.

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

  • The admin or local database cannot be used as the source or destination database.

  • The number of mongos nodes in the source self-managed MongoDB database cannot exceed 10.

  • You cannot migrate collections that contain time to live (TTL) indexes. If the database to be migrated contains TTL indexes, data inconsistency may occur between the source and destination databases due to inconsistent time zones and clocks of the source and destination databases.

  • Make sure that no orphaned document exists in the source self-managed MongoDB database or the destination ApsaraDB for MongoDB sharded cluster instance. Otherwise, data inconsistency or even task failure may occur. 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 schema migration and full data migration, do not perform schema change on databases or collections. Otherwise, the data migration task fails.

    • If you perform only full data migration, do not write data to the source database during data migration. Otherwise, data inconsistency between the source and destination databases occurs. To ensure data consistency, we recommend that you select Schema Migration, Full Data Migration, and Incremental Data Migration as the migration types.

Other limits

  • If you purchase a DTS instance before you configure a DTS task, you must specify the number of shards when you purchase the instance.

  • Before you start the data migration task, you must add sharding keys to the data to be migrated in the source database. During the data migration, if you execute the INSERT statement to insert data into the data to be migrated, the data to be migrated must contain sharding keys. If you execute the UPDATE statement to modify the data to be migrated, you cannot modify sharding keys.

  • During full data migration, make sure the balancer for the source MongoDB database is disabled until each subtask reaches the phase of incremental data migration. Otherwise, data inconsistency may occur. For more information about the MongoDB balancer, see Manage the ApsaraDB for MongoDB balancer.

  • Make sure that the destination MongoDB database does not have the same primary key as the source database. The default primary key is _id. Otherwise, data may be lost. If the source and destination databases have the same primary key, delete the corresponding document in the destination database without interrupting your business services.

  • Transaction information is not retained. When transactions are migrated to the destination database, they are converted into a single record.

  • During a data migration task, the ApsaraDB for MongoDB sharded cluster instance involved in the task cannot be scaled. Otherwise, the task fails.

  • You must use the db.$table_name.aggregate([{ $count:"myCount"}]) syntax to query the return value of a count operation on the destination ApsaraDB for MongoDB database.

  • The data is concurrently written to the destination database. Therefore, the storage space occupied in the destination database is 5% to 10% larger than the size of the data in the source database.

  • If a collection of the destination database has a unique index or the capped attribute of a collection of the destination database is true, the collection supports only single-thread data writing and does not support concurrent replay during incremental data migration. This may increase migration latency.

  • Before you migrate data, evaluate the impact of data migration on the performance of the source and destination databases. We recommend that you migrate data during off-peak hours. 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.

  • During full data migration, concurrent INSERT operations cause fragmentation in the tables of the destination database. After full data migration is complete, the tablespace of the destination database is larger than that of the source database.

  • DTS attempts to resume data migration tasks that failed within the last seven days. Before you switch workloads to the destination instance, 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 instance. Otherwise, the data in the source database overwrites the data in the destination database after a failed task is resumed.

Billing

Migration type

Task configuration fee

Data transfer cost

Schema migration and full data migration

Free of charge

Free of charge

Incremental data migration

Charged. For more information, see Billing overview.

Migration types

Migration type

Description

Schema migration

DTS migrates the schemas of the objects to be migrated from the source self-managed MongoDB database instance to the destination ApsaraDB for MongoDB instance.

Full data migration

DTS migrates the existing data of the objects to be migrated from the source self-managed MongoDB database instance to the destination ApsaraDB for MongoDB instance.

Note

DTS supports full data migration for databases and collections.

Incremental data migration

After full data migration is completed, DTS migrates incremental data from the source self-managed MongoDB database instance to the destination ApsaraDB for MongoDB instance.

Note

DTS migrates incremental data generated by the following operations:

  • The delete operations on databases

  • The create, delete, and rename operations on collections

  • The create, delete, and update operations on documents

  • The create and delete operations on indexes

  • The insert, update, and delete operations of documents on collections

Permissions required for database accounts

Database type

Schema migration

Full data migration

Incremental data migration

Self-managed MongoDB database

The read permissions on the database to be migrated and the config database.

Read permissions on the source database.

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

ApsaraDB for MongoDB instance

The dbAdminAnyDatabase permission, the read and write permissions on the destination database, and the read permissions on the local database.

For information about how to create and authorize a database account, see the following topics:

Preparations

  1. Required: Disable the balancer of the self-managed MongoDB database. This prevents the impact of chunk migration on data consistency. For more information, see Manage the ApsaraDB for MongoDB balancer.

    Warning

    If the balancer is not disabled, chunk migration affects the consistency of the data read by DTS.

  2. Delete the orphaned documents that are generated due to chunk migration failures from the self-managed MongoDB database.

    Note

    If you do not delete the orphaned documents, the migration performance will be compromised. In addition, some documents may have duplicate _id values and data that you do not want to migrate may be migrated.

    1. Download the cleanupOrphaned.js file.

      wget "https://docs-aliyun.cn-hangzhou.oss.aliyun-inc.com/assets/attach/120562/cn_zh/1564451237979/cleanupOrphaned.js"
    2. Replace test in the cleanupOrphaned.js file with the name of the database from which you want to delete orphaned documents.

      Note

      If you want to delete orphaned documents from multiple databases, repeat Substep b and Substep c in Step 2.

    3. Run the following command on a shard to delete the orphaned documents from all collections in the specified database:

      Note

      You must repeat this step on each shard.

      mongo --host <Shardhost> --port <Primaryport>  --authenticationDatabase <database> -u <username> -p <password> cleanupOrphaned.js
      Note
      • <Shardhost>: the IP address of the shard.

      • <Primaryport>: the service port of the primary node in the shard.

      • <database>: the name of the database to which the database account belongs.

      • <username>: the account that is used to log on to the self-managed MongoDB database.

      • <password>: the password that is used to log on to the self-managed MongoDB database.

      Example:

      In this example, a self-managed MongoDB database has three shards, and you must delete the orphaned documents on each shard.

      mongo --host 172.16.1.10 --port 27018  --authenticationDatabase admin -u dtstest -p 'Test123456' cleanupOrphaned.js
      mongo --host 172.16.1.11 --port 27021 --authenticationDatabase admin -u dtstest -p 'Test123456' cleanupOrphaned.js
      mongo --host 172.16.1.12 --port 27024  --authenticationDatabase admin -u dtstest -p 'Test123456' cleanupOrphaned.js
  3. Create databases and collections to be sharded in the destination ApsaraDB for MongoDB instance, and configure data sharding based on your business requirements. For more information, see Configure sharding to maximize the performance of shards.

    Note

    If you configure data sharding before you start data migration, data in the self-managed MongoDB database is evenly migrated to the shards in the destination sharded cluster instance. This prevents the overloading of a single shard.

Procedure

  1. Go to the Data Migration Tasks page.

    1. Log on to the Data Management (DMS) console.

    2. In the top navigation bar, move the pointer over DTS.

    3. Choose DTS (DTS) > Data Migration.

    Note
  2. From the drop-down list on the right side of Data Migration Tasks, select the region in which your data migration instance resides.

    Note

    If you use the new DTS console, you must select the region in which the data migration instance resides in the upper-left corner.

  3. Click Create Task. In the Create Data Migration Task wizard, configure the source and destination databases. The following table describes the parameters.

    Warning

    After you configure the source and destination databases, we recommend that you read the Limits that are displayed in the upper part of the page. Otherwise, the task may fail or data inconsistency may occur.

    Section

    Parameter

    Description

    None

    Task Name

    The name of the task. DTS automatically generates a task name. We recommend that you specify an informative name to identify the task. You do not need to specify a unique task name.

    Source Database

    Select an existing DMS database instance. (Optional. If you have not registered a DMS database instance, ignore this option and configure database settings in the section below.)

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

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

    • If you do not select an existing database, 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. In this example, Public IP Address is selected.

    Note

    If you choose other methods to access the source self-managed MongoDB database, you must deploy the network environment for the database. For more information, see Preparation overview.

    Instance Region

    The region in which the source self-managed MongoDB database resides.

    Note

    If the region in which the self-managed MongoDB database resides is not displayed in the drop-down list, select a region that is geographically closest to the self-managed MongoDB database.

    Architecture

    The architecture in which the source database is deployed. Select Sharded Cluster.

    Note

    The Sharded Cluster option appears only if you set the Access Method parameter to Express Connect, VPN Gateway, or Smart Access Gateway, Public IP Address, or Cloud Enterprise Network (CEN).

    Endpoint Type

    Select Standalone or Multi-node based on your business needs.

    Note

    This parameter appears only if you set the Access Method parameter to Express Connect, VPN Gateway, or Smart Access Gateway, Public IP Address, or Cloud Enterprise Network (CEN).

    Domain Name or IP

    The endpoint or IP address of a mongos node in the self-managed MongoDB database. In this example, the public IP address of a mongos node is used.

    Note
    • This parameter appears only if the Endpoint Type parameter is set to Standalone.

    • Set the Domain Name or IP parameter to the domain name or IP address of any mongos node. Set the Port Number parameter to the port of any mongos node.

    Port Number

    The service port number of the self-managed MongoDB database.

    Note
    • This parameter appears only if the Endpoint Type parameter is set to Standalone.

    • The service port of the mongos node must be accessible over the Internet.

    Endpoint

    The endpoint of the self-managed MongoDB database.

    Note
    • This parameter appears only if the Endpoint Type parameter is set to Multi-node.

    • Specify the parameter in the <IP>:<Port> format. Replace <IP> with the domain name or an IP address. We recommend that you use a domain name that can be accessed over the Internet.

    • Separate multiple endpoints with line feeds.

    Authentication Database

    The name of the authentication database that stores the database accounts and passwords of the source self-managed MongoDB database. If you did not change the name of the authentication database before, the default value is admin.

    Database Account

    The account that is used to access the mongos nodes in the self-managed MongoDB database. For more information about the permissions that are required for the account, see the Permissions required for database accounts section of this topic.

    Note

    If you set the Access Method parameter to Self-managed Database on ECS or Database Gateway, enter the account that is used to access the shards in the self-managed MongoDB database.

    Database Password

    The password that is used to access the database instance.

    Access to Multiple Shard Nodes

    The information that is used to access the shard nodes of the self-managed MongoDB database.

    Note

    This parameter is available only if the self-managed MongoDB database is the source database, the Architecture parameter is set to Sharded Cluster, and the Endpoint Type parameter is set to Multi-node.

    1. Click Add to the right of Access to Multiple Shard Nodes.

    2. In the Shard Node Endpoint field, enter the endpoint of a shard node of the self-managed MongoDB database.

      Note
      • An endpoint is in the <IP>:<Port> format. Replace <IP> with a domain name or an IP address. We recommend that you use a domain name that is publicly resolvable.

      • Separate multiple endpoints with line feeds.

    3. Repeat the preceding steps to configure the access information for each shard node.

    Shard access information (IP:Port)

    The access information about the shards in the self-managed MongoDB database, including the IP address and port number of the shards. The format is IP address:Port number.

    Note
    • This parameter appears only if the Endpoint Type parameter is set to Standalone.

    • Separate the access information of multiple shards with commas (,).

    Shard account

    The account that is used to access the shards in the source self-managed MongoDB database.

    Shard password

    The password that is used to access the shards in the source self-managed MongoDB database.

    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 an existing DMS database instance. (Optional. If you have not registered a DMS database instance, ignore this option and configure database settings in the section below.)

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

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

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

    Database Type

    The type of the destination database. Select MongoDB.

    Access Method

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

    Instance Region

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

    Architecture

    The architecture in which the destination ApsaraDB for MongoDB instance is deployed.

    Instance ID

    The ID of the destination ApsaraDB for MongoDB instance.

    Authentication Database

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

    Database Name

    The name of the database to which the migrated objects in the destination ApsaraDB for MongoDB instance belong.

    Database Account

    The database account of the destination 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 instance.

    Encryption

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

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

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

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

  5. If an IP address whitelist is configured for your self-managed database, add the CIDR blocks of DTS servers to the IP address whitelist. Then, click Test Connectivity.

    Warning

    If the public CIDR blocks of DTS servers are automatically or manually added to the whitelist of a database instance or to the security group rules of an ECS instance, security risks may arise. Therefore, before you use DTS to migrate 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 security group rules and forbidding unauthorized CIDR blocks, or connecting the database instance to DTS by using Express Connect, VPN Gateway, or Smart Access Gateway.

  6. Configure the objects to be migrated and advanced settings.

    Parameter

    Description

    Migration Types

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

    • To ensure service continuity during data migration, select Schema Migration, 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.

    Processing Mode of Conflicting Tables

    • Precheck and Report Errors: checks whether the destination database contains tables that use 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 migration 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 migrated 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 the following potential risks:

      • If the source and destination databases have the same schema, and a data record has the same primary key as an existing data record in the destination database, the following scenarios may occur:

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

        • During incremental data migration, DTS migrates 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, only specific columns are migrated or the data migration task fails. Proceed with caution.

    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 another option to ensure that the capitalization of object names is the same as that of 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. Click the 向右小箭头 icon to add the objects to the Selected Objects section.

    Note

    You can select collections or databases as the objects to be migrated.

    Selected Objects

    • To rename an object that you want to migrate to the destination instance, right-click the object in the Selected Objects section. For more information, see Map the name of a single object.
    • To rename multiple objects at a time, click Batch Edit in the upper-right corner of the Selected Objects section. For more information, see Map multiple object names at a time.
    Note
    • If you use the object name mapping feature to rename an object, other objects that are dependent on the object may fail to be migrated.

    • Filter statements supported by ApsaraDB for MongoDB instances are different from standard SQL WHERE statements. To specify WHERE conditions to filter data, right-click an object in the Selected Objects section. In the dialog box that appears, specify the conditions. For more information, see Specify filter conditions.

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

    • Data Verification Settings

      For more information about how to use the data verification feature, see Configure a data verification task.

    • 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. You can also purchase a dedicated cluster of the required specifications to run the data migration task. 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 1440. 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.

      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:

  8. In the lower part of the page, click Next: Save Task Settings and Precheck.

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

    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.

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

  10. 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.

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

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

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

  13. Optional. If you set the Access Method parameter to Self-managed Database on ECS or Database Gateway for the source self-managed MongoDB database, you need to repeat Steps 1 to 12 to create data migration tasks for the remaining shards.

  14. Stop the data migration tasks.

    • Full data migration

      We recommend that you do not manually stop the task during full data migration. Otherwise, the data migrated to the destination database may be incomplete. You can wait until the full data migration task automatically stops.

    • Incremental data migration

      An incremental data migration task does not automatically stop. You must manually stop the task.

      Note

      We recommend that you select an appropriate time to manually stop a data migration task. For example, you can stop the task during off-peak hours or before you switch your workloads to the ApsaraDB for MongoDB instance.

      1. Wait until Incremental Data Migration is displayed in the Running progress bar of the data migration task and Undelayed is displayed in Operation Info. Then, stop writing data to the source database for a few minutes. The latency of incremental data migration may be displayed in the progress bar.

      2. After the status of Incremental Data Migration changes to Undelayed again, manually stop the migration tasks for all shards.

  15. Switch your workloads to the destination ApsaraDB for MongoDB instance.