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    Dataphin:Create a DataHub data source

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    Dataphin:Create a DataHub data source

    Last Updated:Jun 04, 2025

    By creating a DataHub data source, you can enable Dataphin to read business data from DataHub or write data to DataHub. This topic describes how to create a DataHub data source.

    Background information

    DataHub is Alibaba Cloud's streaming data service that provides publishing, subscription, and distribution features for streaming data. It allows you to easily build analytics and applications based on streaming data. If you use Alibaba Cloud DataHub service, you need to create a DataHub data source before connecting it to Dataphin for data development. For more information, see DataHub Product Overview.

    Permissions

    Only custom global roles with the Create Data Source permission and system roles such as Super Administrator, Data Source Administrator, Domain Architect, and Project Administrator can create data sources.

    Procedure

    1. On the Dataphin homepage, click Management Center > Datasource Management in the top navigation bar.

    2. On the Datasource page, click +Create Data Source.

    3. On the Create Data Source page, select DataHub in the Message Queue section.

      If you have recently used DataHub, you can also select it from the Recently Used section. You can also quickly search for DataHub by entering keywords in the search box.

    4. On the Create DataHub Data Source page, configure the connection parameters.

      1. Configure the basic information of the data source.

        Parameter

        Description

        Datasource Name

        The name must meet the following requirements:

        • It can contain only Chinese characters, letters, digits, underscores (_), and hyphens (-).

        • It cannot exceed 64 characters in length.

        Datasource Code

        After you configure the data source code, you can reference tables in the data source in Flink_SQL tasks by using the format data source code.table name or data source code.schema.table name. If you need to automatically access the data source in the corresponding environment based on the current environment, use the variable format ${data source code}.table or ${data source code}.schema.table. For more information, see Dataphin data source table development method.

        Important

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

        • After the data source code is configured successfully, you can preview data on the object details page in the asset directory and asset inventory.

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

        Data Source Description

        A brief description of the data source. It cannot exceed 128 characters.

        Data Source Configuration

        Select the data source to configure:

        • If the business data source distinguishes between production and development data sources, select Production + Development Data Source.

        • If the business data source does not distinguish between production and development data sources, select Production Data Source.

        Tag

        You can categorize and tag data sources using tags. For information on how to create tags, see Manage data source tags.

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

        If you select Production + Development data source for your data source configuration, you need to configure the connection information for the Production + Development data source. If your data source configuration is Production data source, you only need to configure the connection information for the Production data source.

        Note

        Typically, production and development data sources should be configured as separate data sources to achieve environment isolation and reduce the impact of development activities on production. However, Dataphin also supports configuring them as the same data source with identical parameter values.

        Parameter

        Description

        Endpoint

        The endpoint of DataHub. Select the appropriate endpoint based on your network environment and connection method.

        For information on how to obtain the endpoint, see Domain Names.

        Project Name

        The DataHub project name. You can view the Project Name on the DataHub console page.

        Access ID, Access Key

        The AccessKey ID and AccessKey Secret of the account to which the DataHub data source belongs.

        For information on how to obtain them, see Create an AccessKey pair.

    5. Select a Default Resource Group, which is used to run tasks related to the current data source, including database SQL, offline database migration, and data preview.

    6. Click Test Connection or directly click OK to save and complete the creation of the DataHub data source.

      When you click Test Connection, the system tests whether the data source can connect to Dataphin properly. If you directly click OK, the system automatically tests the connection for all selected clusters. However, the data source can still be created even if the connection tests for all selected clusters fail.