This topic describes how to synchronize data from an ApsaraDB RDS for SQL Server instance to an ApsaraDB RDS for MySQL instance by using Data Transmission Service (DTS).
Prerequisites
- The source ApsaraDB RDS for SQL Server instance is created. For more information, see Overview of data synchronization scenarios and Create an ApsaraDB RDS for SQL Server instance. Important If the SQL Server Incremental Synchronization Mode parameter is set to Log-based Parsing for Non-heap Tables and CDC-based Incremental Synchronization for Heap Tables, data is synchronized in the hybrid log-based parsing mode and the following versions of source database are supported:
- Self-managed SQL Server or ApsaraDB RDS for SQL Server database of the Enterprise or Enterprise Evaluation edition: version 2012, 2014, 2016, or 2019.
- Self-managed SQL Server or ApsaraDB RDS for SQL Server database of the Standard edition: version 2016 or 2019.
- A destination ApsaraDB RDS for MySQL instance is created. For more information, see Create an ApsaraDB RDS for MySQL instance.
- The available storage space of the ApsaraDB RDS for MySQL instance is larger than the total size of the data in the ApsaraDB RDS for SQL Server instance.
- If the source ApsaraDB RDS for SQL Server instance meets one of the following conditions, we recommend that you synchronize data by using the backup feature of ApsaraDB RDS for SQL Server. For more information, see Migrate data from a self-managed database to an ApsaraDB RDS for SQL Server instance.
- The source instance contains more than 10 databases.
- A single database of the source instance backs up its logs at an interval of less than 1 hour.
- A single database of the source instance executes more than 100 DDL statements each hour.
- Logs are written at a rate of 20 MB/s for a single database of the source instance.
- The change data capture (CDC) feature needs to be enabled for more than 1,000 tables in the source ApsaraDB RDS for SQL Server instance.
- The logs of a database in the source ApsaraDB RDS for SQL Server instance involve heap tables, tables without primary keys, compressed tables, or tables with computed columns. You can execute the following SQL statements to check whether the source database contains these tables.
- Execute the following SQL statement to check for heap tables:
SELECT s.name AS schema_name, t.name AS table_name FROM sys.schemas s INNER JOIN sys.tables t ON s.schema_id = t.schema_id AND t.type = 'U' AND s.name NOT IN ('cdc', 'sys') AND t.name NOT IN ('systranschemas') AND t.object_id IN (SELECT object_id FROM sys.indexes WHERE index_id = 0);
- Execute the following SQL statement to check for tables without primary keys:
SELECT s.name AS schema_name, t.name AS table_name FROM sys.schemas s INNER JOIN sys.tables t ON s.schema_id = t.schema_id AND t.type = 'U' AND s.name NOT IN ('cdc', 'sys') AND t.name NOT IN ('systranschemas') AND t.object_id NOT IN (SELECT parent_object_id FROM sys.objects WHERE type = 'PK');
- Execute the following SQL statement to check for primary key columns contained in clustered index columns:
SELECT s.name AS schema_name, t.name AS table_name FROM sys.schemas s INNER JOIN sys.tables t ON s.schema_id= t.schema_id WHERE t.type= 'U' AND s.name NOT IN('cdc', 'sys') AND t.name NOT IN('systranschemas') AND t.object_id IN (SELECT pk_columns.object_id AS object_id FROM (select sic.object_id object_id, sic.column_id FROM sys.index_columns sic, sys.indexes sis WHERE sic.object_id= sis.object_id AND sic.index_id= sis.index_id AND sis.is_primary_key= 'true') pk_columns LEFT JOIN (SELECT sic.object_id object_id, sic.column_id FROM sys.index_columns sic, sys.indexes sis WHERE sic.object_id= sis.object_id AND sic.index_id= sis.index_id AND sis.index_id= 1) cluster_colums ON pk_columns.object_id= cluster_colums.object_id WHERE pk_columns.column_id != cluster_colums.column_id);
- Execute the following SQL statement to check for compressed tables:
SELECT s.name AS schema_name, t.name AS table_name FROM sys.objects t, sys.schemas s, sys.partitions p WHERE s.schema_id = t.schema_id AND t.type = 'U' AND s.name NOT IN ('cdc', 'sys') AND t.name NOT IN ('systranschemas') AND t.object_id = p.object_id AND p.data_compression != 0;
- Execute the following SQL statement to check for tables with computed columns:
SELECT s.name AS schema_name, t.name AS table_name FROM sys.schemas s INNER JOIN sys.tables t ON s.schema_id = t.schema_id AND t.type = 'U' AND s.name NOT IN ('cdc', 'sys') AND t.name NOT IN ('systranschemas') AND t.object_id IN (SELECT object_id FROM sys.columns WHERE is_computed = 1);
- Execute the following SQL statement to check for heap tables:
Usage notes
Category | Description |
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Limits on the source database |
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Other limits |
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Billing
Synchronization type | Task configuration fee |
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Schema synchronization and full data synchronization | Free of charge. |
Incremental data synchronization | Charged. For more information, see Billing overview. |
Supported synchronization topologies
- One-way one-to-one synchronization
- One-way one-to-many synchronization
- One-way many-to-one synchronization
SQL operations that can be synchronized
Operation type | SQL statement |
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DML | INSERT, UPDATE, and DELETE |
DDL |
Note
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Procedure
- Go to the Data Synchronization page of the new DTS console. Note You can also log on to the DMS console. In the top navigation bar, click DTS. In the left-side navigation pane, choose .
- In the upper-left corner of the page, select the region in which the data synchronization instance resides.
- Click Create Task. On the page that appears, configure the source and destination databases.
Section Parameter Description N/A Task Name DTS automatically generates a task name. We recommend that you specify an informative name to identify the task. You do not need to use a unique task name.
Source Database Database Type The type of the source database. Select SQL Server. Access Method The access method of the source database. Select Alibaba Cloud Instance. Instance Region The region in which the source ApsaraDB RDS for SQL Server instance resides. RDS Instance ID The ID of the source ApsaraDB RDS for SQL Server instance. Database Account The database account of the source ApsaraDB RDS for SQL Server instance. The account must have the owner permissions on objects to be synchronized. A privileged account has the required permissions. Database Password The password of the database account.
Destination Database Database Type The type of the destination database. Select MySQL. Access Method The access method of the destination database. Select Alibaba Cloud Instance. Instance Region The region in which the destination ApsaraDB RDS for MySQL instance resides. RDS Instance ID The ID of the destination ApsaraDB RDS for MySQL instance. Database Account The database account of the destination ApsaraDB RDS for MySQL instance. The account must have read and write permissions on the destination database. Database Password The password of the database account.
Encryption Specifies whether to encrypt the connection to the database. You can select Non-encrypted or SSL-encrypted based on your business requirements. If you want to select SSL-encrypted, you must enable SSL encryption for the ApsaraDB RDS for MySQL instance before you configure the data synchronization task. For more information, see Configure SSL encryption for an ApsaraDB RDS for MySQL instance.
- In the lower part of the page, click Test Connectivity and Proceed. Note
- 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. For more information, see Add the CIDR blocks of DTS servers to the security settings of on-premises databases. 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.
- After data synchronization is complete, we recommend that you remove the CIDR blocks of DTS servers from the allowlists or security groups. You must remove the IP address whitelist group whose name contains
dts
from the whitelist of the ApsaraDB instance or the security rules of the ECS instance. For more information about the CIDR blocks that you must remove from the whitelist of the self-managed databases that are deployed in data centers or databases that are hosted on third-party cloud services, see Add the CIDR blocks of DTS servers to the security settings of on-premises databases.
- Select objects for the task and configure advanced settings.
- Basic Settings
Parameter or setting 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 database. The historical data is the basis for subsequent incremental synchronization.
Processing Mode of Conflicting Tables Precheck and Report Errors: checks whether the destination cluster 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 You can use the object name mapping feature to rename the tables that are synchronized to the destination database. You can use this feature if the source and destination databases contain identical table names and the tables in the destination database cannot be deleted or renamed. 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 schemas, and a data record has the same primary key value as an existing data record in the destination 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.
- If the source and destination databases have the same schemas, and a data record has the same primary key value as an existing data record in the destination database:
Schema Mapping Mode of Source and Destination Databases Select a schema mapping mode based on your business requirements.Warning If you do not use the schema names of the source database, the source tables in different schemas must have unique names.SQL Server Incremental Synchronization Mode - Log-based Parsing for Non-heap Tables and CDC-based Incremental Synchronization for Heap Tables:
- Advantages:
- Supports heap tables and tables without primary keys.
- Does not interrupt DTS tasks for log truncation in the source database.
- Disadvantages:
- Causes DTS to create Change Data Capture (CDC) records in the source databases and tables.
- Causes higher latency than log-based parsing mode.
- Advantages:
- Incremental Synchronization Based on Logs of Source Database (Heap tables are not supported):
- Advantages:
- Provides low latency and good performance.
- Provides no intrusion to the source database.
- Disadvantages:
- Does not support heap tables or tables without primary keys.
- Interrupts DTS tasks due to large amounts of data written to the source database and frequent log truncation and archiving.
- Advantages:
Note The Log-based Parsing for Non-heap Tables and CDC-based Incremental Synchronization for Heap Tables mode supports compressed tables, but the Incremental Synchronization Based on Logs of Source Database (Heap tables are not supported) mode does not.Select Objects Select one or more objects from the Source Objects section and click the
icon to add the objects to the Selected Objects section.
Note In this scenario, data synchronization is performed between heterogeneous databases. Therefore, only tables can be synchronized. Other objects such as views, triggers, or stored procedures are not synchronized to the destination database.Rename Databases and Tables - 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 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.
Filter data You can specify WHERE conditions to filter data. For more information, see Use SQL conditions to filter data.
Select the SQL operations to be synchronized In the Selected Objects section, right-click an object. In the dialog box that appears, select the DML and DDL operations to be synchronized. For more information, see SQL operations that can be synchronized. - Advanced Settings
Parameter Description Set Alerts 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:- No: does not configure alerting.
- Yes: configures alerting. If you select Yes, you must also specify the alert threshold and alert contacts. For more information, see Configure monitoring and alerting when you create a DTS task.
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 make sure 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.
Retry Time for Failed Connection 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 the 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 set different retry time ranges for multiple DTS tasks that have the same source or destination database, the shortest retry time range that is set 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 and destination instances are released.
- Basic Settings
- 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:
- In scenarios where you cannot ignore the alert item, click View Details next to the failed item. After you analyze the causes based on the check results, troubleshoot the issues. Then, run a precheck again.
- In scenarios where you can ignore the alert item, click Confirm Alert Details next to the failed item. 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.
- Wait until the success rate becomes 100%. Then, click Next: Purchase Instance.
- 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 the instance 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.
- Pay-as-you-go: A pay-as-you-go instance is charged 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 pay-as-you-go instance to reduce costs.
Instance Class DTS provides several instance classes that have different performance in synchronization speed. You can select an instance class based on your business scenario. For more information, see Specifications 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 or one to three years. Note This parameter is displayed only if you select the subscription billing method. - Read and select the check box for Data Transmission Service (Pay-as-you-go) Service Terms.
- Click Buy and Start to start the data synchronization task. You can view the progress of the task in the task list.