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Data Transmission Service:Synchronize RDS for MySQL to Function Compute

Last Updated:Jul 17, 2026

Use Data Transmission Service (DTS) to synchronize full or incremental data from an ApsaraDB RDS for MySQL instance to a specified function in Function Compute. You can then write a function to process this data.

Prerequisites

  • You have a source ApsaraDB RDS for MySQL instance.

  • You have created the destination service and function, and set its Handler Type to Event Handler. To create a function, see Quickly create a function.

    Note

    Only Function Compute (FC) 2.0 is supported.

Usage notes

Type

Description

Source database limitations

  • Tables to be synchronized must have a primary key or a unique constraint, and all columns in the constraint must contain unique values.

  • A single row of data in the source database cannot exceed 16 MB. Otherwise, the DTS task fails because DTS cannot write the data to Function Compute. To synchronize only specific fields, use the extract, transform, and load (ETL) feature to filter out large fields.

  • If you synchronize data on a per-table basis, a single data synchronization task supports a maximum of 1,000 tables. If you exceed this limit, an error is reported after you submit the task. We recommend either dividing the tables across multiple tasks or configuring a single task to synchronize the entire database.

  • Binary logs:

    • ApsaraDB RDS for MySQL enables binary logging by default. Ensure that the binlog_row_image parameter is set to full. Otherwise, the precheck fails and the synchronization task cannot start. For instructions, see Configure instance parameters.

      Important
      • If your source instance is a self-managed MySQL database, enable binary logging and set binlog_format to row and binlog_row_image to full.

      • If your self-managed MySQL database is a dual-primary cluster (where both nodes act as primary and secondary), enable the log_slave_updates parameter so DTS can capture all binary log events. For instructions, see Create an account and configure binary logging for a self-managed MySQL database.

    • The local binary logs for an ApsaraDB RDS for MySQL instance must be retained for at least three days (seven days is recommended). For a self-managed MySQL database, retain local binary logs for at least seven days. Otherwise, DTS may fail to retrieve binary logs, causing the task to fail. In extreme cases, this may cause data inconsistency or data loss. Issues caused by binary log retention periods shorter than DTS requires are not covered under the DTS SLA.

      Note

      To configure the retention period for local binary logs on an ApsaraDB RDS for MySQL instance, see Automatically delete local logs.

  • During the full data synchronization phase, do not perform DDL operations that change database or table schemas. Otherwise, the data synchronization task fails.

    Note

    During the full data synchronization phase, DTS queries the source database, which generates metadata locks that may block DDL operations on the source database.

  • Data generated by changes that do not write to binary logs—such as data restored from physical backups or created by cascade operations—is not synchronized to the destination database.

    Note

    If this occurs, remove the affected database or table from the synchronization objects. Then add it back. You can do this only if your business allows it. For more information, see Modify synchronization objects.

  • If your source database is MySQL 8.0.23 or later and contains invisible hidden columns, DTS may not read those columns. This may cause data loss.

    Note

    Run the ALTER TABLE <table_name> ALTER COLUMN <column_name> SET VISIBLE; command to make the hidden column visible. For more information, see Invisible Columns.

Other limitations

  • The mapping feature is not supported.

  • Cross-region data synchronization is not supported.

  • Before starting data synchronization, evaluate the performance impact on the source and destination databases. We recommend performing this task during off-peak hours. Full data synchronization consumes read and write resources on both the source and destination databases, which can increase the database load.

  • Full data synchronization involves concurrent INSERT operations. Therefore, you must ensure the destination Function Compute has a sufficiently high concurrency setting. For more information about how to adjust function concurrency, see Set instance concurrency.

  • If you synchronize one or more tables instead of an entire database, do not use tools like pt-online-schema-change for online DDL operations on those tables during data synchronization. Otherwise, the task will fail. You can use Data Management (DMS) to perform lock-free schema changes. For more information, see Schema change without table locking.

  • Avoid synchronizing data from multiple DTS tasks to the same destination Function Compute. We recommend using a different function for each task to isolate data and prevent inconsistencies.

  • If EncDB is enabled for the source ApsaraDB RDS for MySQL instance, full data synchronization is not supported.

    Note

    Full and incremental data synchronization are supported for ApsaraDB RDS for MySQL instances that have Transparent Data Encryption (TDE) enabled.

  • If a task fails, DTS support staff will attempt to restore it within eight hours. During restoration, they may restart the task or adjust its parameters.

    Note

    Only DTS task parameters are modified—not database parameters. Parameters that may be adjusted include those listed in Modify instance parameters.

Special cases

  • For a self-managed MySQL source database:

    • If a primary/secondary switchover occurs in the source database during synchronization, the task fails.

    • DTS calculates latency by comparing the timestamp of the last synchronized record with the current time. If no DML operations run for a long time in the source database, latency reporting may become inaccurate. If latency appears too high, run a DML operation in the source database to update the latency.

      Note

      If you select a full database for synchronization, create a heartbeat table. Update or write to this table every second.

    • DTS periodically runs the CREATE DATABASE IF NOT EXISTS `test` command in the source database to advance the binary log offset.

    • If your source database is Amazon Aurora MySQL or another clustered MySQL instance, ensure the domain name or IP address used in the task configuration—and its DNS resolution—always points to a read/write (RW) node. Otherwise, synchronization may fail.

  • For an ApsaraDB RDS for MySQL source database:

    • Read-only instances—such as ApsaraDB RDS for MySQL 5.6 read-only instances—that do not record transaction logs cannot serve as source databases.

    • DTS periodically runs the CREATE DATABASE IF NOT EXISTS `test` command in the source database to advance the binary log offset.

Billing

Synchronization type

Configuration fee

full data synchronization

Free of charge.

incremental data synchronization

Fees apply. For details, see billing overview.

Supported SQL operations

Operation type

SQL statement

DML

INSERT, UPDATE, and DELETE

DDL

  • CREATE TABLE, ALTER TABLE, DROP TABLE, RENAME TABLE, and TRUNCATE TABLE

  • CREATE VIEW, ALTER VIEW, and DROP VIEW

  • CREATE PROCEDURE, ALTER PROCEDURE, and DROP PROCEDURE

  • CREATE FUNCTION, DROP FUNCTION, CREATE TRIGGER, and DROP TRIGGER

  • CREATE INDEX and DROP INDEX

Database account permissions

Database

Required permissions

Actions

Source ApsaraDB RDS for MySQL instance

Read permissions on the objects to synchronize.

Create an account and Modify account permissions.

Note

If your source database account was not created and granted permissions in the ApsaraDB RDS for MySQL console, ensure it has the REPLICATION CLIENT, REPLICATION SLAVE, SHOW VIEW, and SELECT permissions.

Procedure

  1. Go to the data synchronization task list page in the destination region. You can do this in one of two ways.

    DTS console

    1. Log on to the DTS console.

    2. In the navigation pane on the left, click Data Synchronization.

    3. In the upper-left corner of the page, select the region where the synchronization instance is located.

    DMS console

    Note

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

    1. Log on to the DMS console.

    2. In the top menu bar, choose Data + AI > DTS (DTS) > Data Synchronization.

    3. To the right of Data Synchronization Tasks, select the region of the synchronization instance.

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

  3. Configure the source and destination databases.

    Section

    Parameter

    Description

    N/A

    Task Name

    DTS automatically generates a task name. We recommend that you specify a descriptive name for easy identification. The name does not need to be unique.

    Source Database

    Select Existing Connection

    • Select the registered database instance with DTS from the drop-down list. The database information below is automatically configured.

      Note

      In the DMS console, this configuration item is Select a DMS database instance.

    • If you have not registered the database instance or do not need to use a registered instance, manually configure the database information below.

    Database Type

    Select MySQL.

    Access Method

    Select Alibaba Cloud Instance.

    Instance Region

    Select the region where the source ApsaraDB RDS for MySQL instance resides.

    Replicate Data Across Alibaba Cloud Accounts

    In this example, data is synchronized within the same Alibaba Cloud account. Select No.

    RDS Instance ID

    Select the instance ID of the source ApsaraDB RDS for MySQL instance.

    Database Account

    Enter the database account of the source ApsaraDB RDS for MySQL instance. For permission requirements, see Permissions required for database accounts.

    Database Password

    Enter the password for the specified database account.

    Encryption

    Select Non-encrypted or SSL-encrypted as needed. If you set this to SSL-encrypted, you must enable SSL encryption for the RDS for MySQL instance beforehand. For more information, see Use a cloud certificate to quickly enable SSL link encryption.

    Destination Database

    Select Existing Connection

    • Select the registered database instance with DTS from the drop-down list. The database information below is automatically configured.

      Note

      In the DMS console, this configuration item is Select a DMS database instance.

    • If you have not registered the database instance or do not need to use a registered instance, manually configure the database information below.

    Database Type

    Select Function Compute.

    Access Method

    Select Alibaba Cloud Instance.

    Instance Region

    By default, this parameter is set to the same value as the Instance Region of the source database and cannot be changed.

    Service

    Select the name of the destination Function Compute (FC) service.

    Function

    Select the destination Function Compute (FC) function that receives data.

    Service Version and Alias

    Select an option based on your business requirements.

    • Default Version: The Service Version is fixed to LATEST.

    • Specified Version: You must also select a Service Version.

    • Specified Alias: You must also select a Service Alias.

    Note

    For more information about terms related to Function Compute, see Key concepts.

  4. After completing the configuration, click Test Connectivity and Proceed at the bottom of the page.

    Note
    • Ensure that you add the CIDR blocks of the DTS servers (either automatically or manually) to the security settings of both the source and destination databases to allow access. For more information, see Add the IP address whitelist of DTS servers.

    • If the source or destination is a self-managed database (i.e., the Access Method is not Alibaba Cloud Instance), you must also click Test Connectivity in the CIDR Blocks of DTS Servers dialog box.

  5. Configure the task objects.

    1. On the Configure Objects page, specify the objects to synchronize.

      Parameter

      Description

      Synchronization Types

      Incremental Data Synchronization is selected by default. If you need to synchronize existing data, you must also select Full Data Synchronization.

      Data Format

      Specifies the format for data synchronized to the Function Compute (FC) function. Only Canal JSON is supported.

      Note

      For more information about the parameters and examples of the Canal JSON format, see Canal JSON format.

      Source Objects

      In the Source Objects box, click the objects, and then click 向右 to move them to the Selected Objects box.

      Note

      You can select databases or tables as synchronization objects.

      Selected Objects

      In the Selected Objects box, confirm the data to be synchronized.

      Note

      To remove an object, select the object in the Selected Objects box and click the zuoyi icon.

    2. Click Next: Advanced Settings.

      Parameter

      Description

      Dedicated Cluster for Task Scheduling

      By default, DTS uses a shared cluster for tasks, so you do not need to make a selection. For greater task stability, you can purchase a dedicated cluster to run the DTS synchronization task. For more information, see What is a DTS dedicated cluster?.

      Retry Time for Failed Connections

      If the connection to the source or destination database fails after the synchronization task starts, DTS reports an error and immediately begins to retry the connection. The default retry duration is 720 minutes. You can customize the retry time to a value from 10 to 1,440 minutes. We recommend a duration of 30 minutes or more. If the connection is restored within this period, the task resumes automatically. Otherwise, the task fails.

      Note
      • If multiple DTS instances (e.g., Instance A and B) share a source or destination, DTS uses the shortest configured retry duration (e.g., 30 minutes for A, 60 for B, so 30 minutes is used) for all instances.

      • DTS charges for task runtime during connection retries. Set a custom duration based on your business needs, or release the DTS instance promptly after you release the source/destination instances.

      Retry Time for Other Issues

      If a non-connection issue (e.g., a DDL or DML execution error) occurs, DTS reports an error and immediately retries the operation. The default retry duration is 10 minutes. You can also customize the retry time to a value from 1 to 1,440 minutes. We recommend a duration of 10 minutes or more. If the related operations succeed within the set retry time, the synchronization task automatically resumes. Otherwise, the task fails.

      Important

      The value of Retry Time for Other Issues must be less than that of Retry Time for Failed Connections.

      Enable Throttling for Full Data Synchronization

      During full data synchronization, DTS consumes read and write resources from the source and destination databases, which can increase their load. To mitigate pressure on the destination database, you can limit the migration rate by setting Queries per second (QPS) to the source database, RPS of Full Data Migration, and Data migration speed for full migration (MB/s).

      Note

      Enable Throttling for Incremental Data Synchronization

      You can also limit the incremental synchronization rate to reduce pressure on the destination database by setting RPS of Incremental Data Synchronization and Data synchronization speed for incremental synchronization (MB/s).

      Whether to delete SQL operations on heartbeat tables of forward and reverse tasks

      Choose whether DTS writes heartbeat SQL information to the source database while the instance is running.

      • Yes: Does not write heartbeat SQL information to the source database. The DTS instance may display latency.

      • No: Writes heartbeat SQL information to the source database. This may interfere with source database operations like physical backups and cloning.

      Environment Tag

      You can select an environment tag to identify the instance based on your business requirements. In this example, you do not need to select a tag.

      Configure ETL

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

      Monitoring and Alerting

      Choose whether to set up alerts. If the synchronization fails or the latency exceeds the specified threshold, DTS sends a notification to the alert contacts.

  6. Save the task and perform a precheck.

    • To view the parameters for configuring this instance via an API operation, hover over the Next: Save Task Settings and Precheck button and click Preview OpenAPI parameters in the tooltip.

    • If you have finished viewing the API parameters, click Next: Save Task Settings and Precheck at the bottom of the page.

    Note
    • Before a synchronization task starts, DTS performs a precheck. You can start the task only if the precheck passes.

    • If the precheck fails, click View Details next to the failed item, fix the issue as prompted, and then rerun the precheck.

    • If the precheck generates warnings:

      • For non-ignorable warning, click View Details next to the item, fix the issue as prompted, and run the precheck again.

      • For ignorable warnings, you can bypass them by clicking Confirm Alert Details, then Ignore, and then OK. Finally, click Precheck Again to skip the warning and run the precheck again. Ignoring precheck warnings may lead to data inconsistencies and other business risks. Proceed with caution.

  7. Purchase the instance.

    1. When the Success Rate reaches 100%, click Next: Purchase Instance.

    2. On the Purchase page, select the billing method and link specifications for the data synchronization instance. For more information, see the following table.

      Category

      Parameter

      Description

      New Instance Class

      Billing Method

      • Subscription: You pay upfront for a specific duration. This is cost-effective for long-term, continuous tasks.

      • Pay-as-you-go: You are billed hourly for actual usage. This is ideal for short-term or test tasks, as you can release the instance at any time to save costs.

      Resource Group Settings

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

      Instance Class

      DTS offers synchronization specifications at different performance levels that affect the synchronization rate. Select a specification based on your business requirements. For more information, see Data synchronization link specifications.

      Subscription Duration

      In subscription mode, select the duration and quantity of the instance. Monthly options range from 1 to 9 months. Yearly options include 1, 2, 3, or 5 years.

      Note

      This option appears only when the billing method is Subscription.

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

    4. Click Buy and Start, and then click OK in the OK dialog box.

      You can monitor the task progress on the data synchronization page.

Next steps

Destination data format

Function Compute (FC) receives data as an Object. The incremental data from the source is stored in the Records field, an array of records. Each record is an Object containing the fields described in the following table.

Note

Function Compute (FC) receives records for two types of operations: DML and DDL.

  • DDL: Represents changes to the database schema.

  • DML: Represents changes to the data within the database.

Parameter

Type

Description

isDdl

Boolean

Indicates whether the operation is a DDL operation.

  • True: The operation is a DDL operation.

  • False: The operation is a DML operation.

type

String

The type of the SQL operation.

  • For DML operations, possible values are DELETE, UPDATE, and INSERT.

  • For DDL operations, the value is always DDL.

Important

During full data synchronization, the value is always INIT.

database

String

The name of the source MySQL database.

table

String

The name of the source MySQL table.

pkNames

String

The primary key column names.

es

Long

The execution time of the operation on the source database, represented as a 13-digit UNIX timestamp in milliseconds.

Note

UNIX timestamp converters are widely available online.

ts

Long

The time the record was written to the destination, represented as a 13-digit UNIX timestamp in milliseconds.

Note

UNIX timestamp converters are widely available online.

data

Object Array

An array containing a single object that represents the data after the operation. The keys in the object are the column names and the values are the corresponding column values.

old

Object Array

Contains the data before an update.

Important

This field is present only when type is UPDATE and has the same format as the data field.

sql

String

  • If type is a DML operation (DELETE, UPDATE, or INSERT), this field is empty.

  • If type is DDL, this field contains the executed SQL statement.

id

Int

The serial number of the operation.

DDL operation data format

Alter table

SQL statement

ALTER TABLE `demoTable` 
	ADD COLUMN `address` varchar(20) NULL AFTER `sex`
;

Data received by Function Compute (FC)

{
	'Records': [{
		'type': 'DDL',
		'serverId': '27142679',
		'es': 1690000000000,
		'sql': '/* Query from DMS-WEBSQL-0-Eid_15682857722282385K by user 14xxxxxxxx */ ALTER TABLE `demoDatabase`.`DDL` \n\tADD COLUMN `address` varchar(20) NULL AFTER `sex`',
		'database': 'demoDatabase',
		'id': 63151,
		'isDdl': True,
		'table': 'demoTable',
		'ts': 1690000000000
	}]
}

DML operation data format

Insert data

SQL statement

INSERT INTO demoTable VALUES("xiaoming", 10, "man");

Data received by Function Compute (FC)

{
	'Records': [{
		'data': [{
			'sex': 'man',
			'name': 'xiaoming',
			'age': '10'
		}],
		'pkNames': ['name'],
		'type': 'INSERT',
		'serverId': '27142678',
		'es': 1690000000000,
		'sql': '',
		'database': 'demoDatabase',
		'sqlType': {
			'sex': 253,
			'name': 253,
			'age': 3
		},
		'mysqlType': {
			'sex': 'varchar',
			'name': 'varchar',
			'age': 'int'
		},
		'id': 62051,
		'isDdl': False,
		'table': 'demoTable',
		'ts': 1690000000000
	}]
}

Update data

SQL statement

UPDATE `demoDatabase`.`demoTable` SET `age`=11 WHERE `name`='xiaoming';

Data received by Function Compute (FC)

{
	'Records': [{
		'data': [{
			'sex': 'man',
			'name': 'xiaoming',
			'age': '11'
		}],
		'pkNames': ['name'],
		'old': [{
			'sex': 'man',
			'name': 'xiaoming',
			'age': '10'
		}],
		'type': 'UPDATE',
		'serverId': '27142679',
		'es': 1690000000000,
		'sql': '',
		'database': 'demoDatabase',
		'sqlType': {
			'sex': 253,
			'name': 253,
			'age': 3
		},
		'mysqlType': {
			'sex': 'varchar',
			'name': 'varchar',
			'age': 'int'
		},
		'id': 62373,
		'isDdl': False,
		'table': 'demoTable',
		'ts': 1690000000000
	}]
}

Delete data

SQL statement

DELETE FROM `demoDatabase`.`demoTable` WHERE `name`='xiaoming';

Data received by Function Compute (FC)

{
	'Records': [{
		'data': [{
			'sex': 'man',
			'name': 'xiaoming',
			'age': '11'
		}],
		'pkNames': ['name'],
		'type': 'DELETE',
		'serverId': '27142679',
		'es': 1690000000000,
		'sql': '',
		'database': 'demoDatabase',
		'sqlType': {
			'sex': 253,
			'name': 253,
			'age': 3
		},
		'mysqlType': {
			'sex': 'varchar',
			'name': 'varchar',
			'age': 'int'
		},
		'id': 62635,
		'isDdl': False,
		'table': 'demoTable',
		'ts': 1690000000000
	}]
}