This topic describes how to migrate data from a PolarDB-X instance to an Elasticsearch cluster by using Data Transmission Service (DTS).
Prerequisites
The source PolarDB-X instance that is compatible with MySQL 5.7 is created.
The destination Elasticsearch cluster is created. For more information, see Create an Alibaba Cloud Elasticsearch cluster.
The engine versions of the source instance and the destination cluster are supported. For more information, see Overview of data migration scenarios.
The available storage space of the destination Elasticsearch cluster is larger than the total size of the data in the source PolarDB-X instance.
Limits
Category | Description |
Limits on the source database |
|
Other limits |
|
Precautions | DTS updates the `dts_health_check`.`ha_health_check` table in the source database as scheduled to move forward the binary log file position. |
Billing
Migration type | Instance configuration fee | Internet traffic fee |
Schema migration and full data migration | Free of charge. | Charged only when data is migrated from Alibaba Cloud over the Internet. For more information, see Billing overview. |
Incremental data migration | Charged. For more information, see Billing overview. |
Migration types
Schema migration
DTS migrates the schemas of the selected objects from the source database to the destination database.
Full data migration
DTS migrates the historical data of required objects from the source database to the destination database.
Incremental data migration
After full data migration is complete, DTS migrates incremental data from the source database to the destination database. Incremental data migration allows data to be migrated smoothly without interrupting the services of self-managed applications during data migration.
SQL operations that can be migrated during incremental data migration
Operation type | SQL statement |
DML | INSERT, UPDATE, and DELETE |
Mappings
The MySQL data types supported by PolarDB-X do not exactly match the data types supported by Elasticsearch. DTS converts the data types of the source database to those of the Elasticsearch cluster during schema migration based on the data type mappings between heterogeneous databases. For more information, see Data type mappings between heterogeneous databases.
Permissions required for database accounts
Database | Schema migration | Full data migration | Incremental data migration |
Source PolarDB-X instance | SELECT permission | SELECT permission | REPLICATION SLAVE and REPLICATION CLIENT permissions, and SELECT permission on the objects to be migrated |
Destination Elasticsearch cluster | Read and write permissions on the objects to be migrated. The default database account in Elasticsearch clusters is elastic. |
Procedure
Go to the Data Migration Tasks page.
Log on to the Data Management (DMS) console.
In the top navigation bar, move the pointer over DTS.
Choose .
NoteThe actual operations may vary based on the mode and layout of the DMS console. For more information, see Simple mode and Customize the layout and style of the DMS console.
You can also go to the Data Migration page of the new DTS console.
From the drop-down list on the right side of Data Migration Tasks, select the region in which your data migration instance resides.
NoteIf you use the new DTS console, you must select the region in which the data migration instance resides in the upper-left corner.
Click Create Task. On the Create Data Migration Task page, configure the source and destination databases. The following table describes the parameters.
WarningAfter you configure the source and destination databases, we recommend that you read the Limits that are displayed in the upper part of the page. Otherwise, the task may fail or data inconsistency may occur.
Section
Parameter
Description
N/A
Task Name
The name of the task. DTS automatically generates a task name. We recommend that you specify an informative name to identify the task. You do not need to specify a unique task name.
Source Database
Select a DMS database instance
The database that you want to use. You can choose whether to use an existing database based on your business requirements.
If you select an existing database, DTS automatically populates the parameters for the database.
If you do not select an existing database, you must configure the following database information.
Database Type
The type of the source database. Select PolarDB-X 2.0.
Access Method
The access method of the source database. Select Alibaba Cloud Instance.
Instance Region
The region in which the source PolarDB-X instance resides.
Instance ID
The ID of the source PolarDB-X instance.
Database Account
The database account of the source PolarDB-X instance. For more information about the permissions that are required for the account, see the Permissions required for database accounts section of this topic.
Database Password
The password that is used to access the database instance.
Destination Database
Select a DMS database instance
The database that you want to use. You can choose whether to use an existing database based on your business requirements.
If you select an existing database, DTS automatically populates the parameters for the database.
If you do not select an existing database, you must configure the following database information.
Database Type
The type of the destination database. Select Elasticsearch.
Access Method
The access method of the destination database. Select Alibaba Cloud Instance.
Instance Region
The region in which the destination Elasticsearch cluster resides.
Instance ID
The ID of the destination Elasticsearch cluster.
Database Account
The database account of the destination Elasticsearch cluster. For more information about the permissions that are required for the account, see the Permissions required for database accounts section of this topic.
Database Password
The password that is used to access the database instance.
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 IP address 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 self-managed database is hosted 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 IP address whitelist of the database to allow DTS to access the database. For more information, see the CIDR blocks of DTS servers section of the Add the CIDR blocks of DTS servers topic.
WarningIf the public CIDR blocks of DTS servers are automatically or manually added to the whitelist of a database instance or to the security group rules of an ECS instance, security risks may arise. Therefore, before you use DTS to migrate data, you must understand and acknowledge the potential risks and take preventive measures, including but not limited to the following measures: enhancing the security of your username and password, limiting the ports that are exposed, authenticating API calls, regularly checking the whitelist or security group rules and forbidding unauthorized CIDR blocks, or connecting the database instance to DTS by using Express Connect, VPN Gateway, or Smart Access Gateway.
Configure the objects to be migrated and advanced settings.
Parameter
Description
Migration Types
To perform only full data migration, select Schema Migration and Full Data Migration.
To ensure service continuity during data migration, select Schema Migration, Full Data Migration, and Incremental Data Migration.
NoteIf you do not select Incremental Data Migration, we recommend that you do not write data to the source database during data migration. This ensures data consistency between the source and destination databases.
Processing Mode of Conflicting Tables
Precheck and Report Errors: checks whether the destination database contains tables that use the same names as tables in the source database. If the source and destination databases do not contain tables that have identical table names, the precheck is passed. Otherwise, an error is returned during the precheck and the data migration task cannot be started.
NoteIf the source and destination databases contain tables with identical names and the tables in the destination database cannot be deleted or renamed, you can use the object name mapping feature to rename the tables that are migrated to the destination database. For more information, see Map object names.
Ignore Errors and Proceed: skips the precheck for identical table names in the source and destination databases.
WarningIf you select Ignore Errors and Proceed, data inconsistency may occur and your business may be exposed to the following potential risks:
If the source and destination databases have the same schema, and a data record has the same primary key as an existing data record in the destination database, the following scenarios may occur:
During full data migration, DTS does not migrate the data record to the destination database. The existing data record in the destination database is retained.
During incremental data migration, DTS migrates the data record to the destination database. The existing data record in the destination database is overwritten.
If the source and destination databases have different schemas, only specific columns are migrated or the data migration task fails. Proceed with caution.
Index Name
Table Name
If you select Table Name, the created index name in the destination Elasticsearch cluster is the same as the table name. In this example, order is used.
Database Name_Table Name
If you select Database Name_Table Name, the created index name in the destination Elasticsearch cluster is in the format of Database name_Table name. In this example, dtstest_order is used.
Source Objects
Select one or more objects from the Source Objects section. Click the icon and add the objects to the Selected Objects section.
NoteYou can select columns, tables, or schemas as the objects to be migrated. If you select tables or columns as the objects to be migrated, DTS does not migrate other objects, such as views, triggers, or stored procedures, to the destination database.
Selected Objects
- To rename an object that you want to migrate to the destination instance, right-click the object in the Selected Objects section. For more information, see Map the name of a single object.
- To rename multiple objects at a time, click Batch Edit in the upper-right corner of the Selected Objects section. For more information, see Map multiple object names at a time.
NoteIf you use the object name mapping feature to rename an object, other objects that are dependent on the object may fail to be migrated.
To specify WHERE conditions to filter data, right-click an object in the Selected Objects section. In the dialog box that appears, specify the conditions. For more information, see Specify filter conditions.
To select the SQL operations performed on a specific database or table, right-click an object in the Selected Objects section. In the dialog box that appears, select the SQL operations that you want to migrate. For more information about the SQL operations that can be migrated, see SQL operations that can be migrated during incremental data migration.
Click Next: Advanced Settings to configure advanced settings.
Parameter
Description
Monitoring and Alerting
Specifies whether to configure alerting for the data migration task. If the task fails or the migration latency exceeds the specified threshold, the alert contacts receive notifications. Valid values:
No: does not configure alerting.
Yes: configures alerting. In this case, you must also configure the alert threshold and alert notification settings. For more information, see the Configure monitoring and alerting when you create a DTS task section of the Configure monitoring and alerting topic.
Retry Time for Failed Connections
The retry time range for failed connections. If the source or destination database fails to be connected after the data migration task is started, DTS immediately retries a connection within the 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 migration task. Otherwise, the data migration task fails.Note- If you set different retry time ranges for multiple data migration 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 your earliest opportunity after the source and destination instances are released.
Shard Configuration
The number of primary shards and replica shards based on the shard configuration of indexes of the destination Elasticsearch cluster.
String Index
The method used to compile the strings to the indexes of the destination Elasticsearch cluster.
analyzed: The strings are analyzed before indexing. You must select a specific analyzer. For more information about the analyzer types, see Built-in analyzer reference.
not analyzed: The strings are indexed with the original values.
no: The strings are not indexed.
Time Zone
The time zone of the date and time data types such as DATETIME and TIMESTAMP. You can select a time zone during the data migration to the destination Elasticsearch cluster.
NoteIf the date and time data types in the destination cluster do not need a time zone, you must specify the document type for the date and time data types.
DOCID
The default value of the parameter is the primary key of the table in the Elasticsearch cluster. If the table does not have a primary key, the value of the parameter is the ID column that is automatically generated by Elasticsearch.
Configure ETL
Specifies whether to enable the extract, transform, and load (ETL) feature. For more information, see What is ETL? Valid values:
Yes: configures the ETL feature. You can enter data processing statements in the code editor. For more information, see Configure ETL in a data migration or data synchronization task.
No: does not configure the ETL feature.
Whether to delete SQL operations on heartbeat tables of forward and reverse tasks
Specifies whether to write SQL operations on heartbeat tables to the source database while the DTS instance is running.
Yes: does not write SQL operations on heartbeat tables. In this case, a latency of the DTS instance may be displayed.
No: writes SQL operations on heartbeat tables. In this case, specific features such as physical backup and cloning of the source database may be affected.
In the lower part of the page, click Next: Configure Database and Table Fields. On the page that appears, set the _routing policy and _id value for the tables that you want to migrate to the destination Elasticsearch cluster.
Category
Description
Set _routing
Specifies whether to store a document on a specific shard of the destination Elasticsearch cluster. For more information, see _routing. Valid values:
Yes: You can specify custom columns for routing.
No: The _id value is used for routing.
NoteIf the version of the destination Elasticsearch cluster is 7.x, you must select No.
Value of _id
Primary key column
Multiple columns are merged into one composite primary key.
Business key
If you select a business key, you must also specify the business key column.
In the lower part of the page, click Next: Save Task Settings and Precheck.
You can move the pointer over Next: Save Task Settings and Precheck and click Preview OpenAPI parameters to view the parameters to be specified when you call the relevant API operation to configure the DTS task.
NoteBefore you can start the data migration task, DTS performs a precheck. You can start the data migration task only after the task passes the precheck.
If the task fails to pass the precheck, click View Details next to each failed item. After you analyze the causes based on the check results, troubleshoot the issues. Then, run a precheck again.
If an alert is triggered for an item during the precheck:
If an alert item cannot be ignored, click View Details next to the failed item and troubleshoot the issues. Then, run a precheck again.
If the alert item can be ignored, click Confirm Alert Details. In the View Details dialog box, click Ignore. In the message that appears, click OK. Then, click Precheck Again to run a precheck again. If you ignore the alert item, data inconsistency may occur, and your business may be exposed to potential risks.
Wait until Success Rate becomes 100%. Then, click Next: Purchase Instance.
On the Purchase Instance page, configure the Instance Class parameter for the data migration instance. The following table describes the parameters.
Section
Parameter
Description
New Instance Class
Resource Group
The resource group to which the data migration instance belongs. Default value: default resource group. For more information, see What is Resource Management?
Instance Class
DTS provides instance classes that vary in the migration speed. You can select an instance class based on your business scenario. For more information, see Instance classes of data migration instances.
Read and agree to Data Transmission Service (Pay-as-you-go) Service Terms by selecting the check box.
Click Buy and Start. In the message that appears, click OK.
You can view the progress of the task on the Data Migration page.
Check the index and data
After the state of the data migration task changes to Running, you can use the data visualization tool Kibana to connect to the Elasticsearch cluster. This way, you can check whether the index is created and data is migrated as expected. For more information about how to log on to the Kibana console, see Log on to the Kibana console.
If the index is not created or data is not migrated as expected, you can delete the index and data, and then configure the data migration task again.