This topic describes how to use Data Transmission Service (DTS) to synchronize data from a PolarDB-X 2.0 instance to an Elasticsearch instance.
Prerequisites
You have created a source PolarDB-X 2.0 instance.
You have created a destination Elasticsearch instance. For more information, see Create an Alibaba Cloud Elasticsearch instance.
For supported versions of the source and destination databases, see Overview of synchronization scenarios.
The storage capacity of the destination Elasticsearch instance must be greater than that of the source PolarDB-X 2.0 instance.
Notes
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Note
During schema synchronization, DTS synchronizes foreign keys from the source database to the destination database.
During full data synchronization and incremental data synchronization, DTS temporarily disables constraint checks and foreign key cascade operations at the session level. Data inconsistency may occur if cascade update or delete operations are performed on the source database while the task is running.
| Type | Description |
|---|---|
| Source database limits |
Tables to be synchronized must have a primary key or a unique constraint, and the fields must be unique. Otherwise, duplicate data may appear in the destination database.
Read-only instances of PolarDB-X 2.0 Enterprise Edition are not supported as the source.
If you synchronize data at the table level and need to edit objects, such as mapping column names, and the number of tables in a single sync task exceeds 5,000, split the tables into multiple tasks. You can also configure a task to synchronize the entire database. Otherwise, an error may be reported after you submit the task.
Binary logs:
Enable binary logging in the PolarDB-X 2.0 console. For more information, see Parameter settings. Also, set binlog_row_image to full. Otherwise, the precheck fails and the data synchronization task cannot start.
For incremental synchronization tasks, DTS requires that binary logs be retained on the source database for more than 24 hours. For tasks that include both initial full data synchronization and incremental synchronization, DTS requires that binary logs be retained for at least 7 days. You can change the retention period to more than 24 hours after the initial full data synchronization is complete. If binary logs are not retained for the required period, the DTS task may fail because it cannot obtain the logs. In extreme cases, this can lead to data inconsistency or data loss. Issues caused by binary log retention periods shorter than the DTS requirement are not covered by the Service-Level Agreement (SLA).
If a table name in the PolarDB-X 2.0 instance contains uppercase letters, only schema synchronization is supported for that table.
Synchronization of table groups and databases or tables with the Locality property is not supported.
Synchronization of tables whose names are reserved words, such as
select, is not supported.In a PolarDB-X 2.0 instance, database partitions in DRDS mode cannot be synchronized.
Do not run DDL operations that change database or table schemas during schema synchronization or full synchronization. Otherwise, the synchronization task fails. __Note During full synchronization, DTS queries the source database. This creates metadata locks that may block DDL operations on the source database.
Other limits|
DDL operations are not supported. If a DDL operation is performed on a table to be synchronized in the source database during synchronization, you must first remove the synchronization object, then remove the index corresponding to the table in the Elasticsearch instance, and finally add the synchronization object again. For more information, see Remove a synchronization object and Add a synchronization object.
To add a column to a table to be synchronized in the source database, you must first modify the mapping of the corresponding table in the Elasticsearch instance, then perform the corresponding DDL operation in the source database, and finally pause and restart the sync task.
You cannot synchronize data to Elasticsearch indexes that contain parent-child relationships or Join field types. Doing so may cause task errors or query failures in the destination.
Before you start data synchronization, evaluate the performance of the source and destination databases. We recommend that you perform data synchronization during off-peak hours. Initial full data synchronization consumes read and write resources on both the source and destination databases, which can increase database load.
Initial full data synchronization runs concurrent INSERT operations, which causes fragmentation in the destination database tables. As a result, the tablespace of the destination instance is larger than that of the source instance after initial full data synchronization is complete.
Do not use tools such as pt-online-schema-change to perform online DDL operations on the synchronization objects in the source database. Otherwise, the synchronization fails.
During DTS synchronization, do not write data to the destination database from sources other than DTS. This can cause data inconsistency between the source and destination databases. For example, if you use DMS to perform online DDL operations while other data is being written to the destination database, data loss may occur in the destination database.
Development and test specifications of Elasticsearch instances are not supported.
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.
Other notes| DTS periodically updates the dts_health_check.ha_health_check table in the source database to advance the binary log offset.
Billing
| Synchronization type | Pricing |
|---|---|
| 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
For descriptions and notes about these synchronization topologies, see Introduction to data synchronization topologies.
Supported SQL operations
| Operation Type | SQL Operations |
|---|---|
| DML | INSERT, UPDATE, DELETE __ Note The UPDATE statement cannot be used to remove fields. |
Data type mappings
Because source databases and Elasticsearch instances support different data types, data types cannot always be mapped directly. During initial schema synchronization, DTS maps data types based on the types that the destination Elasticsearch instance supports. For more information, see Data type mappings for initial schema synchronization.
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Note
DTS does not set the mapping parameter in the dynamic during schema migration. The behavior of this parameter depends on your Elasticsearch instance settings. If your source data is in JSON format, ensure that the values for the same key have the same data type across all rows in a table. Otherwise, DTS may report synchronization errors. For more information, see dynamic.
The following table describes the mappings between Elasticsearch and relational databases.
| Elasticsearch | Relational database |
|---|---|
| Index | Database |
| Type | Table |
| Document | Row |
| Field | Column |
| Mapping | Database schema |
Procedure
Go to the data synchronization task list page in the destination region. You can do this in one of two ways.
DTS console
Log on to the DTS console.
In the navigation pane on the left, click Data Synchronization.
In the upper-left corner of the page, select the region where the synchronization instance is located.
DMS console
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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 the layout and style of the DMS console.
Log on to the DMS console.
In the top menu bar, choose Data + AI > DTS (DTS) > Data Synchronization.
To the right of Data Synchronization Tasks , select the region of the synchronization instance.
Click Create Task to open the task configuration page.
Configure the source and destination databases.
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Warning
After you select the source and destination instances, review the Limits at the top of the page. Otherwise, the task may fail or data inconsistency may occur.
| Category | Configuration | Description |
|---|---|---|
| None | 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 | Database Type | Select PolarDB-X 2.0. |
| Connection Type | Select Cloud Instance. | |
| Instance Region | Select the region where the source PolarDB-X 2.0 instance resides. | |
| Replicate Data Across Alibaba Cloud Accounts | Select whether to replicate data across Alibaba Cloud accounts. The default is No. | |
| Instance ID | Select the ID of the source PolarDB-X 2.0 instance. | |
| Database Account | Enter the database account of the source PolarDB-X 2.0 instance. The account must have the REPLICATION SLAVE, REPLICATION CLIENT, and SELECT permissions on the objects to be synchronized. __ Note For more information about how to grant permissions, see Account permission issues during data synchronization. | |
| Database Password | Enter the password for the specified database account. | |
| Destination Database | Database Type | Select Elasticsearch. |
| Connection Type | Select Cloud Instance. | |
| Instance Region | Select the region where the destination Elasticsearch instance resides. | |
| Type | Select Cluster or Serverless based on your needs. | |
| Instance ID | Select the ID of the destination Elasticsearch instance. | |
| Database Account | Enter the database account of the destination Elasticsearch instance. The account must have read and write permissions, typically elastic. | |
| Database Password | Enter the password for the specified database account. | |
| Encryption | Select HTTP or HTTPS as needed. The default is HTTP. |
After completing the configuration, click Test Connectivity and Proceed at the bottom of the page.
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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.
Configure the task objects.
On the Configure Objects page, specify the objects to synchronize.
| Configuration | Description |
|---|---|
| Synchronization Types | DTS always selects Incremental Data Synchronization. By default, you must also select Schema Synchronization and Full Data Synchronization. After the precheck, DTS initializes the destination cluster with the full data of the selected source objects, which serves as the baseline for subsequent incremental synchronization. |
| Index Name |
Table Name If you select Table Name , the index name created in the destination Elasticsearch instance matches the table name. In this example, the index name is order.
Database_Table If you select Database_Table , the index name created in the destination Elasticsearch instance is database_table. In this example, the index name is dtstest_order.
Processing Mode of Conflicting Tables |
Precheck and Report Errors : Checks for tables with the same names in the destination database. If any tables with the same names are found, an error is reported during the precheck and the data synchronization task does not start. Otherwise, the precheck is successful.__Note If you cannot delete or rename the table with the same name in the destination database, you can map it to a different name in the destination. For more information, see Database Table Column Name Mapping.
Ignore Errors and Proceed : Skips the check for tables with the same name in the destination database.__Warning Selecting Ignore Errors and Proceed may cause data inconsistency and put your business at risk. For example:
If the table schemas are consistent and a record in the destination database has the same primary key or unique key value as a record in the source database:
During full data synchronization, DTS retains the destination record and skips the source record.
During incremental synchronization, DTS overwrites the destination record with the source record.
If the table schemas are inconsistent, data initialization may fail. This can result in only partial data synchronization or a complete synchronization failure. Use with caution.
Capitalization of Object Names in Destination Instance | Configure the case-sensitivity policy for database, table, and column names in the destination instance. By default, the DTS default policy is selected. You can also choose to use the default policy of the source or destination database. For more information, see Case policy for destination object names. Source Objects | In the Source Objects box, click the objects, and then click
to move them to the Selected Objects box. __Note You can select objects at the database, table, or column level. If you select only tables or columns, DTS does not synchronize other object types (such as views, triggers, and stored procedures). Selected Objects |
To rename a single object in the destination instance, right-click the object in the Selected Objects box. For more information, see Map a single object name.
To rename multiple objects in bulk, click Batch Edit in the upper-right corner of the Selected Objects box. For more information, see Map multiple object names in bulk.
__Note
Index names and type names support only underscores (_) as special characters.
To select SQL operations to synchronize at the database or table level, right-click the object in Selected Objects and select the SQL operations to synchronize in the dialog box that appears.
To filter data using a WHERE clause, right-click the table in Selected Objects and set the filter condition in the dialog box that appears. For more information, see Filter task data using SQL conditions.
If you use the object name mapping feature, synchronization of other objects that depend on this object may fail.
Click Next: Advanced Settings.
| Configuration | 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
This parameter is available only if Synchronization Types is set to Full Data Synchronization.
You can also adjust the rate of full data synchronization when the synchronization instance is running.
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). Environment Tag | Select an environment tag to identify the instance based on your needs. This example does not require a selection. Shard Configuration | Set the number of primary and replica shards for indexes based on the maximum shard configuration of indexes in the destination Elasticsearch instance. String Index | Specify how strings are indexed in the destination Elasticsearch instance.
analyzed: Analyze the string before indexing. You must also select a specific analyzer. For analyzer types and functions, see Analyzers.
not analyzed: Do not analyze. Index the original value directly.
no: Do not index.
Time Zone | When synchronizing time-type data (such as DATETIME or TIMESTAMP) to the destination Elasticsearch instance, select the time zone to include. __Note If time-type data in the destination instance does not require a time zone, set the document type (type) for this time-type data in the destination instance before synchronization. DOCID | By default, DOCID is the table's primary key. If the table has no primary key, DOCID is an ID column automatically generated by Elasticsearch. 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.
Configure ETL | Choose whether to enable the extract, transform, and load (ETL) feature. For more information, see What is ETL? Valid values:
Yes : Enables the ETL feature. Enter data processing statements in the code editor. For more information, see Configure ETL in a data migration or data synchronization task.
No : Disables the ETL feature.
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.
No : No alerts are configured.
Yes : Configures alerts. You must also set the alert threshold and alert notifications. For more information, see Configure monitoring and alerting during task configuration.
After the configuration is complete, click Next: Configure Table And Field at the bottom of the page to set the _routing policy and _id value for the tables to synchronize to the destination Elasticsearch.
| Type | Description |
|---|---|
| Set _routing | Setting _routing can route and store documents on a specific shard of the destination Elasticsearch instance. For more information, see _routing. |
Select Yes to use custom columns for routing.
Select No to use _id for routing.
__Note If the created destination Elasticsearch instance is version 7._x_ , you must select No. _id Value|
Primary Key Column Of The Table Composite primary keys are merged into one column.
Business Primary Key If you select Business Primary Key , you also need to set the corresponding Business Primary Key Column.
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.
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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.
Purchase the instance.
When the Success Rate reaches 100%, click Next: Purchase Instance.
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.
Read and select the checkbox for Data Transmission Service (Pay-as-you-go) Service Terms.
Click Buy and Start , and then click OK in the OK dialog box.
You can monitor the task progress on the data synchronization page.
View synchronized indexes and data
After the data synchronization task enters the Running state, use Kibana to connect to the Elasticsearch instance and verify that the created indexes and synchronized data meet your business expectations. For logon instructions, see Log on to the Kibana console.
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Note
If the results do not meet your expectations, delete the index and its data, and reconfigure the data synchronization task.