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Data Transmission Service:Synchronize data from a self-managed Oracle database to a Message Queue for Apache Kafka instance

Last Updated:Jul 10, 2023

This topic describes how to synchronize data from a self-managed Oracle database to a Message Queue for Apache Kafka instance by using Data Transmission Service (DTS).

Prerequisites

  • The source self-managed Oracle database and the destination Message Queue for Apache Kafka instance are created.
    Note For more information about the supported versions of the source database and the destination instance, see Overview of data synchronization scenarios.
  • The self-managed Oracle database is running in ARCHIVELOG mode. Archived log files are accessible, and a suitable retention period is set for archived log files. For more information, see Managing Archived Redo Log Files.

  • Supplemental logging, including SUPPLEMENTAL_LOG_DATA_PK and SUPPLEMENTAL_LOG_DATA_UI, is enabled for the self-managed Oracle database. For more information, see Supplemental Logging.

  • The available storage space of the destination Message Queue for Apache Kafka instance is larger than the total size of the data in the self-managed Oracle database.
  • In the destination Message Queue for Apache Kafka instance, a topic is created to receive the synchronized data. For more information, see Step 1: Create a topic.

Limits

Note DTS does not synchronize foreign keys in the source database to the destination database. Therefore, the cascade and delete operations of the source database are not synchronized to the destination database.
CategoryDescription
Limits on the source database
  • Requirements for the objects to be synchronized:
    • The tables to be synchronized must have PRIMARY KEY or UNIQUE constraints, and all fields must be unique. Otherwise, the destination database may contain duplicate data records.
    • If the version of your Oracle database is 12c or later, the names of the tables to be synchronized cannot exceed 30 bytes in length.
    • If you select tables as the objects to be synchronized and you want to edit the tables (such as renaming tables or columns) in the destination database, up to 1,000 tables can be synchronized 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.
  • If the source database is an Oracle RAC database connected over Express Connect, you must specify a VIP for the database when you configure the data synchronization task.
  • If the self-managed Oracle database is an Oracle RAC database, you can only use a VIP rather than a Single Client Access Name (SCAN) IP address when you configure the data synchronization task. After you specify the VIP, node failover of the Oracle RAC database is not supported.
  • The redo logging and archive logging features must be enabled.
    Note

    If you perform only incremental data synchronization, the redo logs and archive logs of the source database must be stored for more than 24 hours. If you perform both full data and incremental data synchronization, the redo logs and archive logs of the source database must be stored for at least seven days. Otherwise, DTS may fail to obtain the redo logs and archive logs and the task may fail. In exceptional circumstances, data inconsistency or loss may occur. After the full data synchronization is complete, you can set the retention period to more than 24 hours. Make sure that you set the retention period of redo logs and archive logs in accordance with the preceding requirements. Otherwise, the service reliability and performance stated in the Service Level Agreement (SLA) of DTS may not be guaranteed.

  • If you perform a primary/secondary switchover on the source database when the data synchronization task is running, the task fails.
Other limits
  • DTS does not synchronize the data in a renamed table to the destination Kafka cluster. This applies if the new table name is not included in the objects to be synchronized. To synchronize the data in a renamed table to the destination Kafka cluster, you must reselect the objects to be synchronized. For more information, see Add an object to a data synchronization task.
  • Before you synchronize data, evaluate the impact of data synchronization on the performance of the source and destination databases. We recommend that you synchronize data during off-peak hours. During initial full data synchronization, DTS uses read and write resources of the source and destination databases. This may increase the loads on the database servers.
  • During initial full data synchronization, concurrent INSERT operations cause fragmentation in the tables of the destination database. After initial full data synchronization is complete, the tablespace of the destination database is larger than that of the source database.
  • DTS calculates synchronization latency based on the timestamp of the latest synchronized data in the destination database and the current timestamp in the source database. If no DML operation is performed on the source database for a long time, the synchronization latency may be inaccurate. If the latency of the synchronization task is too high, you can perform a DML operation on the source database to update the latency.
    Note If you select an entire database as the object to be synchronized, you can create a heartbeat table. The heartbeat table is updated or receives data every second.
  • During data synchronization, we recommend that you use only DTS to write data to the destination database. This prevents data inconsistency between the source and destination databases. For example, if you use tools other than DTS to write data to the destination database, data loss may occur in the destination database when you use DMS to perform online DDL operations.

Billing

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

Size limit of a single record

The maximum size of a single record that can be written to Kafka is 10 MB. Therefore, if a row of source data exceeds 10 MB, the relevant DTS task will be interrupted because DTS cannot write the record to Kafka. In this scenario, we recommend that you do not synchronize the whole tables that contain large fields and synchronize only some fields of the tables. When you configure a DTS task, you must exclude the records of these large fields. If tables that contain large fields are included in the objects of the task, you must remove the tables, add the tables to the objects again, and then set filter conditions to exclude the large fields.

Supported synchronization topologies

  • One-way one-to-one synchronization
  • One-way one-to-many synchronization
  • One-way many-to-one synchronization
  • One-way cascade synchronization
For more information about the synchronization topologies that are supported by DTS, see Synchronization topologies.

SQL operations that can be synchronized

Operation typeSQL statement
DMLINSERT, 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

Permissions required for database accounts

DatabaseRequired permissionReferences
Self-managed Oracle databaseDatabase administrator (DBA)CREATE USER and GRANT
Important If you need to synchronize data from an Oracle database but the database administrator (DBA) permission cannot be granted to the database account, you can enable archive logging and supplemental logging, and grant fine-grained permissions to the account.
  1. Enable archive logging and supplemental logging.
    Log typeProcedure
    Archive loggingExecute the following statements to enable archive logging:
    shutdown immediate;
    startup mount;
    alter database archivelog;
    alter database open;
    archive log list;
    Supplemental loggingEnable supplemental logging at the database or table level based on your business requirements.
    Note You can enable database-level supplemental logging to ensure the stability of Data Transmission Service (DTS) tasks. You can enable table-level supplemental logging to reduce the disk usage of the source Oracle database.
    • Enable database-level supplemental logging
      1. Execute the following statement to enable minimal supplemental logging:
        alter database add supplemental log data;
      2. Execute the following statement to enable primary key and unique key supplemental logging at the database level:
        alter database add supplemental log data (primary key,unique index) columns;
    • Enable table-level supplemental logging
      1. Execute the following statement to enable minimal supplemental logging:
        alter database add supplemental log data;
      2. Enable table-level supplemental logging by using one of the following methods:
        • Execute the following statement to enable primary key supplemental logging at the table level:
          alter table table_name add supplemental log data (primary key) columns;
        • Execute the following statement to enable table-level supplemental logging for all columns:
          alter table tb_name add supplemental log data (all) columns ;
  2. Grant fine-grained permissions to an Oracle database account.
    # Create a database account named rdsdt_dtsacct and grant permissions to the account.
    create user rdsdt_dtsacct IDENTIFIED BY rdsdt_dtsacct;
    grant create session to rdsdt_dtsacct;
    grant connect to rdsdt_dtsacct;
    grant resource to rdsdt_dtsacct;
    grant execute on sys.dbms_logmnr to rdsdt_dtsacct;
    grant select on V_$LOGMNR_LOGS to rdsdt_dtsacct;
    grant select on  all_objects to rdsdt_dtsacct;
    grant select on  all_tab_cols to rdsdt_dtsacct;
    grant select on  dba_registry to rdsdt_dtsacct;
    grant select any table to rdsdt_dtsacct;
    grant select any transaction to rdsdt_dtsacct;
    -- v$log privileges
    grant select on v_$log to rdsdt_dtsacct;
    -- v$logfile privileges
    grant select on v_$logfile to rdsdt_dtsacct;
    -- v$archived_log privileges
    grant select on v_$archived_log to rdsdt_dtsacct;
    -- v$parameter privileges
    grant select on v_$parameter to rdsdt_dtsacct;
    -- v$database privileges
    grant select on v_$database to rdsdt_dtsacct;
    -- v$active_instances privileges
    grant select on v_$active_instances to rdsdt_dtsacct;
    -- v$instance privileges
    grant select on v_$instance to rdsdt_dtsacct;
    -- v$logmnr_contents privileges
    grant select on v_$logmnr_contents to rdsdt_dtsacct;
    -- system tables
    grant select on sys.USER$ to rdsdt_dtsacct;
    grant select on SYS.OBJ$ to rdsdt_dtsacct;
    grant select on SYS.COL$ to rdsdt_dtsacct;
    grant select on SYS.IND$ to rdsdt_dtsacct;
    grant select on SYS.ICOL$ to rdsdt_dtsacct;
    grant select on SYS.CDEF$ to rdsdt_dtsacct;
    grant select on SYS.CCOL$ to rdsdt_dtsacct;
    grant select on SYS.TABPART$ to rdsdt_dtsacct;
    grant select on SYS.TABSUBPART$ to rdsdt_dtsacct;
    grant select on SYS.TABCOMPART$ to rdsdt_dtsacct;
    grant select on v$database to rdsdt_dtsacct;
    grant select on dba_objects to rdsdt_dtsacct;
    grant select on DBA_TAB_COMMENTS to rdsdt_dtsacct;
    grant select on dba_tab_cols to rdsdt_dtsacct;
    # Switch to the pluggable database (PDB). Create a database account named rdsdt_dtsacct and grant permissions to the account.
    ALTER SESSION SET container = ORCLPDB1;
    create user rdsdt_dtsacct IDENTIFIED BY rdsdt_dtsacct;
    grant create  session to rdsdt_dtsacct;
    grant connect  to rdsdt_dtsacct;
    grant resource to rdsdt_dtsacct;
    grant execute on sys.dbms_logmnr to rdsdt_dtsacct;
    grant select on  all_objects to rdsdt_dtsacct;
    grant select on  all_tab_cols to rdsdt_dtsacct;
    grant select on  dba_registry to rdsdt_dtsacct;
    grant select any table to rdsdt_dtsacct;
    grant select any transaction to rdsdt_dtsacct;
    -- v$log privileges
    grant select on v_$log to rdsdt_dtsacct;
    -- v$logfile privileges
    grant select on v_$logfile to rdsdt_dtsacct;
    -- v$archived_log privileges
    grant select on v_$archived_log to rdsdt_dtsacct;
    -- v$parameter privileges
    grant select on v_$parameter to rdsdt_dtsacct;
    -- v$database privileges
    grant select on v_$database to rdsdt_dtsacct;
    -- v$active_instances privileges
    grant select on v_$active_instances to rdsdt_dtsacct;
    -- v$instance privileges
    grant select on v_$instance to rdsdt_dtsacct;
    -- v$logmnr_contents privileges
    grant select on v_$logmnr_contents to rdsdt_dtsacct;
    grant select on sys.USER$ to rdsdt_dtsacct;
    grant select on SYS.OBJ$ to rdsdt_dtsacct;
    grant select on SYS.COL$ to rdsdt_dtsacct;
    grant select on SYS.IND$ to rdsdt_dtsacct;
    grant select on SYS.ICOL$ to rdsdt_dtsacct;
    grant select on SYS.CDEF$ to rdsdt_dtsacct;
    grant select on SYS.CCOL$ to rdsdt_dtsacct;
    grant select on SYS.TABPART$ to rdsdt_dtsacct;
    grant select on SYS.TABSUBPART$ to rdsdt_dtsacct;
    grant select on SYS.TABCOMPART$ to rdsdt_dtsacct;
    -- V$PDBS privileges
    grant select on V_$PDBS to rdsdt_dtsacct;
    grant select on v$database to rdsdt_dtsacct;
    grant select on dba_objects to rdsdt_dtsacct;
    grant select on DBA_TAB_COMMENTS to rdsdt_dtsacct;
    grant select on dba_tab_cols to rdsdt_dtsacct;
    grant select_catalog_role TO rdsdt_dtsacct;
    
    # Switch to the container database (CDB). Create a database account and grant permissions to the account.
    ALTER SESSION SET container = CDB$ROOT;
    
    # Create a database account named rdsdt_dtsacct and grant permissions to the account. You must modify the default parameters of the Oracle database.
    alter session set "_ORACLE_SCRIPT"=true;
    create user rdsdt_dtsacct IDENTIFIED BY rdsdt_dtsacct;
    grant create session to rdsdt_dtsacct;
    grant connect to rdsdt_dtsacct;
    grant select on v_$logmnr_contents to rdsdt_dtsacct;
    grant LOGMINING TO rdsdt_dtsacct;
    grant EXECUTE_CATALOG_ROLE to rdsdt_dtsacct;
    grant execute on sys.dbms_logmnr to rdsdt_dtsacct;
    grant select on v$database to rdsdt_dtsacct;
    grant select on dba_objects to rdsdt_dtsacct;
    grant select on DBA_TAB_COMMENTS to rdsdt_dtsacct;
    grant select on dba_tab_cols to rdsdt_dtsacct;
    # Create a database account named rdsdt_dtsacct and grant permissions to the account.
    create user rdsdt_dtsacct IDENTIFIED BY rdsdt_dtsacct;
    grant create  session to rdsdt_dtsacct;
    grant connect  to rdsdt_dtsacct;
    grant resource to rdsdt_dtsacct;
    grant select on V_$LOGMNR_LOGS to rdsdt_dtsacct;
    grant select on  all_objects to rdsdt_dtsacct;
    grant select on  all_tab_cols to rdsdt_dtsacct;
    grant select on  dba_registry to rdsdt_dtsacct;
    grant select any table to rdsdt_dtsacct;
    grant select any transaction to rdsdt_dtsacct;
    -- v$log privileges
    grant select on v_$log to rdsdt_dtsacct;
    -- v$logfile privileges
    grant select on v_$logfile to rdsdt_dtsacct;
    -- v$archived_log privileges
    grant select on v_$archived_log to rdsdt_dtsacct;
    -- v$parameter privileges
    grant select on v_$parameter to rdsdt_dtsacct;
    -- v$database privileges
    grant select on v_$database to rdsdt_dtsacct;
    -- v$active_instances privileges
    grant select on v_$active_instances to rdsdt_dtsacct;
    -- v$instance privileges
    grant select on v_$instance to rdsdt_dtsacct;
    -- v$logmnr_contents privileges
    grant select on v_$logmnr_contents to rdsdt_dtsacct;
    grant select on sys.USER$ to rdsdt_dtsacct;
    grant select on SYS.OBJ$ to rdsdt_dtsacct;
    grant select on SYS.COL$ to rdsdt_dtsacct;
    grant select on SYS.IND$ to rdsdt_dtsacct;
    grant select on SYS.ICOL$ to rdsdt_dtsacct;
    grant select on SYS.CDEF$ to rdsdt_dtsacct;
    grant select on SYS.CCOL$ to rdsdt_dtsacct;
    grant select on SYS.TABPART$ to rdsdt_dtsacct;
    grant select on SYS.TABSUBPART$ to rdsdt_dtsacct;
    grant select on SYS.TABCOMPART$ to rdsdt_dtsacct;
    grant LOGMINING TO rdsdt_dtsacct;
    grant EXECUTE_CATALOG_ROLE to rdsdt_dtsacct;
    grant execute on sys.dbms_logmnr to rdsdt_dtsacct;
    grant select on v$database to rdsdt_dtsacct;
    grant select on dba_objects to rdsdt_dtsacct;
    grant select on DBA_TAB_COMMENTS to rdsdt_dtsacct;
    grant select on dba_tab_cols to rdsdt_dtsacct;
    Note For more information about the multitenant architecture of Oracle, see Oracle Multitenant.

Procedure

  1. Go to the Data Synchronization Tasks page.
    1. Log on to the Data Management (DMS) console.
    2. In the top navigation bar, click DTS.
    3. In the left-side navigation pane, choose DTS (DTS) > Data Synchronization.
    Note
  2. From the drop-down list to the right of Data Synchronization Tasks, select the region in which the data synchronization instance resides.
    Note If you use the new DTS console, you must select the region in which the data synchronization instance resides in the top navigation bar.
  3. Click Create Task. On the page that appears, configure the source and destination databases.
    SectionParameterDescription
    N/ATask 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 DatabaseDatabase TypeThe type of the source database. Select Oracle.
    Access MethodThe access method of the source database. Select the access method based on the location in which the source database is deployed. In this example, Self-managed Database on ECS is selected.
    Note If your source database is a self-managed database, you must deploy the network environment for the database. For more information, see Preparation overview.
    Instance RegionThe region in which the self-managed Oracle database resides.
    ECS Instance IDThe ID of the Elastic Compute Service (ECS) instance that hosts the self-managed Oracle database.
    Port NumberThe service port number of the self-managed Oracle database. Default value: 1521.
    Oracle Type
    • Non-RAC Instance: If you select this value, you must specify the SID parameter.
    • RAC or PDB Instance: If you select this value, you must specify the Service Name parameter.
      Important RAC instances are not supported.
    In this example, Non-RAC Instance is selected.
    Database AccountThe account of the self-managed Oracle 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.

    Destination DatabaseDatabase TypeThe type of the destination database. Select Kafka.
    Access MethodThe access method of the destination database. Select Express Connect, VPN Gateway, or Smart Access Gateway.
    Note You cannot select Message Queue for Apache Kafka as the instance type. You can use Message Queue for Apache Kafka as a self-managed Kafka instance to configure data synchronization.
    Instance RegionThe region in which the destination Message Queue for Apache Kafka instance resides.
    Connected VPCThe ID of the virtual private cloud (VPC) to which the destination Message Queue for Apache Kafka instance belongs. To obtain the VPC ID, perform the following operations: Log on to the Message Queue for Apache Kafka console and go to the Instance Details page of the Message Queue for Apache Kafka instance. In the Configuration Information section, view the VPC ID.
    IP AddressAn IP address that is included in the Default Endpoint parameter of the Message Queue for Apache Kafka instance.
    Note To obtain an IP address, perform the following operations: Log on to the Message Queue for Apache Kafka console and go to the Instance Details page of the Message Queue for Apache Kafka instance. In the Endpoint Information section, obtain an IP address from the Default Endpoint parameter.
    Port NumberThe service port number of the Message Queue for Apache Kafka instance. Default value: 9092.
    Database AccountThe database account of the Message Queue for Apache Kafka instance.
    Note If the Message Queue for Apache Kafka instance is a VPC-connected instance, you do not need to set the Database Account or Database Password parameter.Message Queue for Apache Kafka
    Database Password

    The password of the database account.

    Kafka VersionThe version of the destination Message Queue for Apache Kafka instance.
    EncryptionSpecifies whether to encrypt the connection. Select Non-encrypted or SCRAM-SHA-256 based on your business and security requirements.
    TopicThe topic used to receive the synchronized data. Select a topic from the drop-down list.
    Topic That Stores DDL InformationThe topic used to store the DDL information. Select a topic from the drop-down list. If you do not specify this parameter, the DDL information is stored in the topic that is specified by the Topic parameter.
    Use Kafka Schema RegistrySpecifies whether to use Kafka Schema Registry, which provides a serving layer for your metadata. It provides a RESTful API for storing and retrieving your Avro schemas. Valid values:
    • No: does not use Kafka Schema Registry.
    • Yes: uses Kafka Schema Registry. In this case, you must enter the URL or IP address that is registered in Kafka Schema Registry for your Avro schemas.
  4. In the lower part of the page, click Test Connectivity and Proceed.
    Warning
    • If the source or destination database is an Alibaba Cloud database instance, such as an ApsaraDB RDS for MySQL or ApsaraDB for MongoDB, DTS automatically adds the CIDR blocks of DTS servers to the whitelist of the 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 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 need to manually add the CIDR blocks of DTS servers to the whitelist of the self-managed database on the ECS instance to allow DTS to access the database. 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.
    • If the CIDR blocks of DTS servers are automatically or manually added to the whitelist or 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.
    • After the DTS task is complete or released, we recommend that you manually remove the CIDR blocks of DTS servers from the whitelist or ECS security group rules. You must remove the IP address whitelist group whose name contains dts from the whitelist of the Alibaba Cloud database instance or the security group 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.
  5. Select objects for the task and configure advanced settings.
    • Basic Settings
      ParameterDescription
      Task Stages

      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 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 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.
      Data Format in KafkaThe format in which data is stored in the Message Queue for Apache Kafka instance.
      • If you select DTS Avro, data is parsed based on the schema definition of DTS Avro. For more information, visit GitHub.
      • If you select SharePlex JSON, data is stored in the SharePlex JSON format. For more information, see Shareplex Json.
      Policy for Shipping Data to Kafka PartitionsSelect a synchronization policy based on your business requirements. For more information, see Specify the policy for migrating data to Kafka partitions.
      Select Objects

      Select one or more objects from the Source Objects section and click the Rightwards arrow icon to add the objects to the Selected Objects section.

      Note You can select columns, tables, or databases as the objects to be synchronized. If you select tables or columns as the objects to be synchronized, DTS does not synchronize other objects such as views, triggers, or stored procedures 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 synchronizedIn the Selected Objects section, right-click an object. In the dialog box that appears, select the DML and DDL operations that you want to synchronize. For more information, see the SQL operations that can be synchronized section of this topic.
    • Advanced Settings
      ParameterDescription
      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:
      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.
  6. In the lower part of the page, click Next: Save Task Settings and Precheck.
    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.
  7. Wait until the success rate becomes 100%. Then, click Next: Purchase Instance.
  8. 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.
  9. Read and select the check box for Data Transmission Service (Pay-as-you-go) Service Terms.
  10. Click Buy and Start to start the data synchronization task. You can view the progress of the task in the task list.