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Data Transmission Service:Synchronize data from a self-managed TiDB database to an AnalyticDB for MySQL V3.0 cluster

Last Updated:Aug 02, 2024

This topic describes how to synchronize data from a TiDB database to an AnalyticDB for MySQL V3.0 cluster by using Data Transmission Service (DTS).

Prerequisites

  • The destination AnalyticDB for MySQL V3.0 cluster is created. The available storage space of this cluster is larger than the total size of data in the source TiDB database. For more information, see Create a cluster.

  • By default, the data synchronization task involves incremental data synchronization. Preparations are made to collect incremental data if you want to synchronize incremental data from the TiDB database. For more information, see the Preparations section of this topic.

Preparations

You can use one of the following methods to collect incremental data from the TiDB database:

Use TiDB Binlog

Note

The server on which the source database is deployed must be in the same internal network as the servers on which Pump, Drainer, and the Kafka cluster are deployed. This minimizes the impact of network latency on data synchronization.

  1. Prepare a Kafka cluster or instance by using one of the following methods:

    • Deploy a self-managed Kafka cluster. For more information, visit the Apache Kafka official website.

      Warning

      We recommend that you configure the message.max.bytes and replica.fetch.max.bytes parameters for the Kafka broker and the fetch.message.max.bytes parameter for the Kafka consumer to greater values. This ensures that the Kafka cluster can receive a larger amount of binary log data from the TiDB database. For more information, see CONFIGURATION.

    • Create an ApsaraMQ for Kafka instance. For more information, see Overview.

      Note

      The ApsaraMQ for Kafka instance must be deployed in the same virtual private cloud (VPC) as the source database server. This ensures reliable data transmission and minimizes the impact of network latency on incremental data synchronization.

  2. Create a topic in the self-managed Kafka cluster or the ApsaraMQ for Kafka instance.

    Important

    To ensure that incremental data can be replicated to the partition whose ID is 0, make sure that the topic contains only one partition.

  3. Deploy Pump and Drainer. For more information, see TiDB Binlog Cluster Deployment.

  4. Modify the configuration file of Drainer and specify a Kafka cluster to receive data from Drainer. For more information, see Binlog Consumer Client User Guide.

    Note

    Make sure that the server on which the TiDB database is deployed can connect to the Kafka cluster.

  5. Add the CIDR blocks of DTS servers to a whitelist of the TiDB database. For more information, see Add the CIDR blocks of DTS servers.

Use TiCDC

  1. Prepare a Kafka cluster or instance by using one of the following methods:

    • Deploy a self-managed Kafka cluster. For more information, visit the Apache Kafka official website.

      Warning

      We recommend that you configure the message.max.bytes and replica.fetch.max.bytes parameters for the Kafka broker and the fetch.message.max.bytes parameter for the Kafka consumer to greater values. This ensures that the Kafka cluster can receive a larger amount of binary log data from the TiDB database. For more information, see CONFIGURATION.

    • Create an ApsaraMQ for Kafka instance. For more information, see Overview.

      Note

      The ApsaraMQ for Kafka instance must be deployed in the same virtual private cloud (VPC) as the source database server. This ensures reliable data transmission and minimizes the impact of network latency on incremental data synchronization.

  2. Create a topic in the self-managed Kafka cluster or the ApsaraMQ for Kafka instance.

    Important

    To ensure that incremental data can be replicated to the partition whose ID is 0, make sure that the topic contains only one partition.

  3. Install TiCDC. For more information, see Deploy and Maintain TiCDC.

    Note

    We recommend that you use TiUP to add a new TiCDC node or scale out the existing TiCDC node in the TiDB cluster.

  4. Replicate the incremental data in the source TiDB database to Kafka. For more information, see Replicate Data to Kafka.

    Note
    • Make sure that the server on which the TiDB database is deployed can connect to the Kafka cluster.

    • We recommend that you use tiup cdc cli changefeed create \ in the first command line.

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.

  • The tables that you want to synchronize must have PRIMARY KEY or UNIQUE constraints, and all fields must be unique. Otherwise, the destination database may contain duplicate data records.

  • If you select tables as the objects to be synchronized and you want to edit the tables in the destination database, such as renaming tables or columns, you can synchronize up to 1,000 tables in a single data synchronization task. If you run a task to synchronize more than 1,000 tables, a request error occurs. In this case, we recommend that you configure multiple tasks to synchronize the tables in batches or configure a task to synchronize the entire database.

  • You must deploy a Kafka cluster and install related components for the TiDB database to collect the incremental data.

Other limits

  • During incremental data synchronization, DTS can obtain data only from the partition whose ID is 0 in the destination topic.

  • You must perform the required operations on the source database or insert test data in a timely manner after the task is created. This ensures that the offset information of the task is updated. Otherwise, the task may fail due to excessive latency.

  • Prefix indexes cannot be synchronized. If the source database contains prefix indexes, the data synchronization task may fail.

  • AnalyticDB for MySQL V3.0 has limits on the usage of disk space. If the disk space usage of the nodes in an AnalyticDB for MySQL V3.0 cluster exceeds 80%, the DTS task is delayed and error messages are returned. We recommend that you estimate the required disk space based on the objects to be synchronized. Make sure that the destination cluster has sufficient storage space.

  • During full data synchronization, DTS uses the read and write resources of the source and destination databases. This may increase the loads of the database servers. 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, such as when the CPU load of the source and destination databases is less than 30%.

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

  • Data inconsistency between the source and destination databases may occur if data from other sources is written to the destination database during data synchronization.

  • 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 by default. You must check whether the precision settings meet your business requirements.

  • DTS attempts to resume data synchronization tasks that failed within the last seven days. Before you switch 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 database after a failed task is resumed.

Billing

Synchronization typeTask configuration fee
Schema synchronization and full data synchronizationFree of charge.
Incremental data synchronizationCharged. For more information, see Billing overview.

SQL operations that support incremental synchronization

Operation type

SQL statement

DML

INSERT, UPDATE, and DELETE

DDL

CREATE TABLE, DROP TABLE, RENAME TABLE, TRUNCATE TABLE, ADD COLUMN, and DROP COLUMN

Permissions required for database accounts

Database

Required permissions

References

TiDB database

The SELECT permission on the objects to be synchronized and the SHOW VIEW permission

Privilege Management

AnalyticDB for MySQL V3.0 cluster

Read and write permissions on the destination database

Create a database account

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 DTS.

    3. Choose DTS (DTS) > Data Synchronization.

    Note
  2. On the right side of Data Synchronization Tasks, select the region in which you want to create the data synchronization task.

    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.

    • Some parameters may differ between the new and previous versions of the configuration page. We recommend that you use the new 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 task. DTS automatically assigns a name to the task. 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 parameters for the source database.

    Note

    Database Type

    The type of the source database. Select TiDB.

    Access Method

    The access method of the source database. Select an access method based on the deployment location of the TiDB database. In this example, select Self-managed Database on ECS.

    Note

    If you set this parameter to other values, you must prepare the environment that is required for the self-managed database before data synchronization. For more information, see Preparation overview.

    Instance Region

    The region in which the TiDB database resides.

    ECS Instance ID

    The ID of the ECS instance that hosts the TiDB database. Default value: 4000.

    Port Number

    The service port number of the TiDB database.

    Database Account

    The account of the TiDB database. 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 of the database account.

    Migrate Incremental Data

    This parameter is set to Yes by default. You cannot change the value of this parameter.

    Note

    If you do not want to synchronize incremental data from the TiDB database, create a data migration task. For more information, see Migrate data from a self-managed TiDB database to an AnalyticDB for MySQL V3.0 cluster.

    Kafka Cluster Type

    The type of the Kafka cluster. Configure this parameter based on the deployment location of the Kafka cluster. In this example, select Self-managed Database on ECS.

    Note

    If you select Express Connect, VPN Gateway, or Smart Access Gateway, you must also select a VPC from the Connected VPC drop-down list and specify IP Address or Domain Name.

    Kafka Data Source Component

    Select Use the default binlog format of the TiDB database. or Use the TiCDC Canal-JSON format. based on the preparations you made.

    ECS Instance ID

    The ID of the ECS instance to which the Kafka cluster belongs.

    Port Number

    The service port of the Kafka cluster.

    Kafka Cluster Account

    The username and password of the Kafka cluster. If authentication is not enabled for the Kafka cluster, you do not need to configure this parameter.

    Kafka Cluster Password

    Kafka Version

    The Kafka cluster version.

    Note

    If the Kafka cluster version is 1.0 or later, select 1.0.

    Encryption

    Specifies whether to encrypt the connection to the Kafka cluster. Select Non-encrypted or SCRAM-SHA-256 based on your business and security requirements.

    Topic

    The topic to which the incremental data belongs.

    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 parameters for the source database.

    Note

    Database Type

    The type of the destination database. Select AnalyticDB for MySQL 3.0.

    Access Method

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

    Instance Region

    The region in which the destination AnalyticDB for MySQL V3.0 cluster resides.

    Instance ID

    The ID of the destination AnalyticDB for MySQL V3.0 cluster.

    Database Account

    The database account of the destination AnalyticDB for MySQL V3.0 cluster. For more information about the permissions that are required for the account, see the Permission requirements for database accounts section of this topic.

    Database Password

    The password of the database account.

  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 Add the CIDR blocks of DTS servers.

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

      Processing Mode of Conflicting Tables

      • Precheck and Report Errors: checks 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.

      Capitalization of Object Names in Destination Instance

      The capitalization of database names, table names, and column 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 that 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 move the objects to the Selected Objects section.

      Note

      You can select databases or tables as the objects to be synchronized.

      Selected Objects

      • To rename an object that you want to synchronize to the destination instance, right-click the object in the Selected Objects section. For more information, see the Map the name of a single object section of the Map object names topic.

      • To rename multiple objects at a time, click Batch Edit in the upper-right corner of the Selected Objects section. For more information, see the Map multiple object names at a time section of the Map object names topic.

      Note
      • To specify WHERE conditions to filter data, right-click a table in the Selected Objects section. In the dialog box that appears, specify the conditions. For more information, see Set filter conditions.

      • If you use the object name mapping feature to rename an object, other objects that are dependent on the object may fail to be synchronized.

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

      Parameter

      Description

      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:

    3. Click Next: Verification Configurations to configure data verification.

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

    4. Optional. Click Next: Configure Database and Table Fields. On the page that appears, configure Type, Primary Key Column, and Distribution Key for the tables that you want to synchronize to the destination AnalyticDB for MySQL V3.0 cluster.

      Note
      • This step is available only if you select Schema Migration for Migration Types. You can set Definition Status to All and then modify the database and table fields.

      • In the Primary Key Column field, you can specify multiple columns to form a composite primary key. In this case, you must specify one or more Primary Key Column as the Distribution Key. For more information, see CREATE TABLE.

  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 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 generated for an item during the precheck, perform the following operations based on the scenario:

      • 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 Purchase Instance 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 your subscription when you create an instance. The subscription billing method is more cost-effective than the pay-as-you-go billing method for long-term use. You are offered lower prices for longer subscription durations.

      • 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 instance, you can release the instance to reduce costs.

      Resource Group Settings

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

      Instance Class

      DTS provides various synchronization specifications that support different performance. The synchronization speed varies based on the synchronization specifications that you select. You can select a synchronization specification based on your business requirements. For more information, see Instance classes of data synchronization instances.

      Subscription Duration

      If you select the subscription billing method, set the subscription duration and the number of 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 the Data Transmission Service (Pay-as-you-go) Service Terms.

    3. Click Buy and Start to start the data synchronization task. You can view the progress of the task in the task list.