All Products
Search
Document Center

Dataphin:Create an Easysearch data source

Last Updated:Nov 18, 2025

An Easysearch data source lets you write data from Dataphin to Easysearch. This topic describes how to create an Easysearch data source.

Permissions

Only super administrators, data source administrators, solution architects, project administrators, and custom global roles with the Create Data Source permission can create data sources.

Procedure

  1. On the Dataphin homepage, in the top menu bar, choose Management Hub > Data Source Management.

  2. On the Data Source page, click + New Data Source.

  3. On the New Data Source page, in the NoSQL area, select Easysearch.

    If you have recently used Easysearch, you can also select it from the Recently Used area. Alternatively, you can enter Easysearch in the search box to quickly find it.

  4. On the New Easysearch Data Source page, configure the connection parameters.

    1. Configure the basic information for the data source.

      Parameter

      Description

      Data Source Name

      Enter a name for the data source. The naming convention is as follows:

      • The name can contain Chinese characters, uppercase and lowercase letters, digits, underscores (_), and hyphens (-).

      • The name can be up to 64 characters long.

      Data Source Code

      After you configure the data source code, you can directly access Dataphin data source tables in Flink_SQL nodes or using the Dataphin Java Database Connectivity (JDBC) client. Use the format Data Source Code.Table Name or Data Source Code.Schema.Table Name for direct access. To automatically switch data sources based on the task execution environment, use the variable format ${Data Source Code}.table or ${Data Source Code}.schema.table. For more information, see Develop with Dataphin data source tables.

      Important
      • The data source code cannot be modified after it is configured.

      • You can preview data on the object details page in the asset directory and asset inventory only after the data source code is configured.

      • In Flink SQL, only MySQL, Hologres, MaxCompute, Oracle, StarRocks, Hive, and SelectDB data sources are supported.

      Version

      Only version 1.7.0 is supported.

      Description

      A brief description of the data source, up to 128 characters long.

      Data Source Configuration

      Select the data source type to configure:

      • If your business data source is separate for production and development, select Production + Development Data Source.

      • If your business data source is not separate, select Production Data Source.

      Tag

      You can add tags to the data source for classification. For more information about how to create tags, see Manage data source tags.

    2. Configure the connection parameters between the data source and Dataphin.

      If you selected Production + Development Data Source in the previous step, configuration pages for both environments are displayed. If you selected Production Data Source, only the configuration page for the production data source is displayed.

      Note

      Typically, the production and development data sources are configured as different sources. This isolates the development environment from the production environment and reduces the impact of development activities on production. However, Dataphin also lets you configure them as the same data source using the same parameter values.

      Parameter

      Description

      ES URL

      The access URL for Easysearch, such as http://hostname:9200.

      Username, Password

      The username and password to access the Easysearch instance.

  5. Select the Default Resource Group. This resource group is used to run tasks related to the data source, such as database SQL, offline full database migration, and data preview.

  6. Click Test Connection or click OK to save the configuration and create the Easysearch data source.

    Click Test Connection to verify that the data source can connect to Dataphin. If you click OK directly, the system automatically tests the connection for all selected clusters. The data source is created even if the connection tests fail.