All Products
Search
Document Center

Data Transmission Service:Synchronize PolarDB for MySQL to Elasticsearch

Last Updated:Feb 13, 2026

This topic describes how to use Data Transmission Service (DTS) to synchronize data from a PolarDB for MySQL cluster to an Elasticsearch instance.

Prerequisites

You have created an Elasticsearch instance in the destination region. The storage space of this instance must be larger than that of the source PolarDB for MySQL cluster. For more information, see Create an Alibaba Cloud Elasticsearch instance.

Note
  • For supported versions of source and destination databases, see Synchronization overview.

  • Different specifications of Elasticsearch instances support different storage capacities.

Important notes

Type

Description

Source database limits

  • The 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.

  • If you synchronize data at the table level and need to edit the tables, such as mapping column names, a single data synchronization task supports a maximum of 1,000 tables. If you exceed this limit, an error is reported when you submit the task. In this case, split the tables into multiple synchronization tasks or configure a task to synchronize the entire database.

  • Binary logs:

    • You must enable binary logging and set the loose_polar_log_bin parameter to ON. Otherwise, an error is reported during the precheck and the DTS instance fails to start. For more information about how to enable binary logging and modify parameters, see Enable binary logging and Set cluster and node parameters.

      Note

      Enabling binary logging for a PolarDB for MySQL cluster consumes storage space and incurs fees.

    • The binary logs of the PolarDB for MySQL cluster must be retained for at least 3 days. We recommend that you retain them for 7 days. Otherwise, the DTS task may fail because DTS cannot obtain the binary logs. In extreme cases, this may cause data inconsistency or data loss. Issues caused by a binary log retention period shorter than the required period are not covered by the DTS Service-Level Agreement (SLA).

      Note

      For more information about how to set the retention period for binary logs of a PolarDB for MySQL cluster, see Modify the retention period.

  • 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

  • You cannot synchronize data from a read-only node of the source PolarDB for MySQL cluster.

  • You cannot synchronize OSS foreign tables from the source PolarDB for MySQL cluster.

  • DTS does not support synchronizing INDEX, PARTITION, VIEW, PROCEDURE, FUNCTION, TRIGGER, or FK objects.

  • 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.

  • Primary/secondary failover of the database instance is not supported during initial full data synchronization. If a failover occurs, reconfigure the synchronization task promptly.

  • To add columns to tables in the source database, first modify the corresponding mapping in the Elasticsearch instance. Then execute the DDL operation in the source database. Finally, pause and restart the synchronization task.

  • Because PolarDB for MySQL and Elasticsearch support different data types, one-to-one type mapping is not possible. During schema initialization, DTS maps types based on the data types supported by the destination database. For details, see Data type mapping for schema initialization.

  • Before you synchronize data, evaluate the performance of the source and destination databases. We recommend that you synchronize data during off-peak hours. Otherwise, initial full data synchronization consumes read and write resources on the source and destination databases, which may increase the 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.

  • For table-level data synchronization, 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.

  • For table-level data synchronization, if no data other than the data from DTS is written to the destination database, you can use Data Management (DMS) to perform online DDL operations. For more information, see Change schemas without locking tables.

  • If data other than DTS writes to the destination database during synchronization, data inconsistency between source and destination databases may occur.

  • 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 executes the CREATE DATABASE IF NOT EXISTS `test` command on 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 SQL operations

Operation Type

SQL Operations

DML

INSERT, UPDATE, DELETE

Note

The UPDATE statement cannot be used to remove fields.

Database account permissions

Database

Required permissions

How to create and grant permissions

Source PolarDB for MySQL cluster

Read permissions on the objects to synchronize.

See Create an account and Modify account permissions.

Destination Elasticsearch instance

Login name (default: elastic) and password configured when creating the Elasticsearch instance.

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.

    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

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

    DTS console

    1. Log on to the DTS console.

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

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

    DMS console

    Note

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

    1. Log on to the DMS console.

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

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

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

  3. Configure the source and destination databases.

    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

    Select Existing Connection

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

      Note

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

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

    Database Type

    Select PolarDB for MySQL.

    Access Method

    Select Alibaba Cloud Instance.

    Instance Region

    Select the region where the source PolarDB for MySQL cluster resides.

    Replicate Data Across Alibaba Cloud Accounts

    For this example, select No, as the database instance belongs to the current Alibaba Cloud account.

    PolarDB Cluster ID

    Select the ID of the source PolarDB for MySQL cluster.

    Database Account

    Enter the database account for the source PolarDB for MySQL cluster. For permission requirements, see Database account permissions.

    Database Password

    Enter the password for the specified database account.

    Encryption

    Select as needed. For more information about SSL encryption, see Configure SSL encryption.

    Destination Database

    Select Existing Connection

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

      Note

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

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

    Database Type

    Select Elasticsearch.

    Access Method

    Select Alibaba Cloud Instance.

    Instance Region

    Select the region where the destination Elasticsearch instance resides.

    Type

    Select Cluster or Serverless as needed.

    Instance ID

    Select the ID of the destination Elasticsearch instance.

    Database Account

    Enter the default login name elastic for the Elasticsearch instance.

    Database Password

    Enter the password for the specified database account.

    Encryption

    Select HTTP or HTTPS as needed.

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

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

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

  5. Configure the task objects.

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

      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

      • If you select Table Name, the index name created in the destination Elasticsearch instance is the same as the table name.

      • If you select Database Name_Table Name, the index name created in the destination Elasticsearch instance is a concatenation of the database name, an underscore (_), and the table name.

      Note

      The index name mapping configuration takes effect for all tables.

      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 向右 to move them to the Selected Objects box.

      Note

      You can select objects at the database or table level.

      Selected Objects

      To modify the index name, type name, field name, or filter condition for a table in the destination Elasticsearch instance, right-click the table name in the Selected Objects area. For more information, see Map database and table column names and Set filter conditions.

      Note

      Only underscores (_) are allowed as special characters in index and type names.

    2. 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

      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 label to identify the instance as needed. This example does not require one.

      Shard Configuration

      Set the number of primary and replica shards for the index, based on the maximum shard configuration in the destination Elasticsearch instance.

      String Index

      How strings are indexed in the destination Elasticsearch instance.

      • analyzed: Analyze the string first, then index it. You must also select an analyzer. For analyzer types and functions, see Analyzers.

      • not analyzed: Index the raw value directly without analysis.

      • no: Do not index the string.

      Time Zone

      When synchronizing DATETIME or TIMESTAMP data types to the destination Elasticsearch instance, select the time zone to use.

      Note

      If time zone information is not needed for these data types in the destination instance, pre-configure the document type (type) for this data in the destination instance.

      DOCID

      No configuration required. DOCID defaults to the table's primary key. If no primary key exists, DOCID is the ID column auto-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:

      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.

    3. After completing the above configurations, click Next: Configure Database and Table Fields to set the _routing strategy and _id value for tables in the destination Elasticsearch instance.

      Note

      You can select Definition Status as All to make changes.

      Type

      Description

      Set _routing

      Configuring _routing routes documents to specific shards in the destination Elasticsearch instance. For more information, see _routing.

      • Select Yes to define a custom column for routing.

      • Select No to route using _id.

      Note

      If the destination Elasticsearch instance is version 7.x, select No.

      _routing Column

      Select the column to use for routing.

      Note

      This parameter is required only when Set _routing is set to Yes.

      Value of _id

      Select the column to use as the document ID.

  6. Save the task and perform a precheck.

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

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

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

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

    • If the precheck generates warnings:

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

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

  7. Purchase the instance.

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

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

      Category

      Parameter

      Description

      New Instance Class

      Billing Method

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

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

      Resource Group Settings

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

      Instance Class

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

      Subscription Duration

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

      Note

      This option appears only when the billing method is Subscription.

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

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

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