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    Dataphin:Overview of real-time mode configuration

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    Dataphin:Overview of real-time mode configuration

    Last Updated:Jun 23, 2026

    Real-time mode defines runtime properties for a real-time node, including resource allocation, time parameters, and checkpoints.

    Access the real-time mode configuration

    1. On the Dataphin home page, choose R&D > Data Development from the top menu bar.

    2. From the top menu bar, select a project. If you are in Dev-Prod mode, you must also select an environment.

    3. In the left-side menu bar, choose Data Processing > Compute Task, and then select the target compute task from the list.

    4. In the right sidebar, click Configuration. On the configuration panel, configure the parameters on the Real-time Mode tab.

    Configure real-time mode

    The following table describes the resource and dependency parameters on the real-time mode configuration panel.

    Configuration item

    Description

    Resource configuration

    • Open source Flink real-time computing source

      For open source Flink nodes, configure resource queues, engine version, parallelism, TaskManager count, and JobManager and TaskManager memory. For more information, see Configure resources for open source Flink real-time mode.

    • Ververica Flink real-time computing source

      For Ververica Flink nodes, configure resource queues, engine version, parallelism, TaskManager count, and JobManager and TaskManager memory. For more information, see Configure Ververica Flink real-time mode resources.

    • Alibaba Blink real-time computing source

      For Alibaba Blink nodes, configure resource queues, engine version, parallelism, TaskManager count, and JobManager and TaskManager memory. For more information, see Configure Alibaba Blink real-time mode resources.

    Variable configuration

    Configure variable parameters for a real-time computing node. For more information, see Real-time mode variable configuration.

    Checkpoint configuration

    Checkpoints save the task state to persistent storage, allowing you to restore the task to its pre-crash state after an unexpected failure. For more information, see Real-time mode checkpoint configuration.

    State configuration

    Flink State maintains and manages data state for real-time tasks. Configuring the time-to-live (TTL) for State data improves resource utilization, memory management, data consistency, and fault tolerance. For more information, see Real-time mode State configuration.

    Runtime Parameter

    Runtime parameters control node behavior and performance, such as JobManager memory size and TaskManager slot timeout.

    Dependency files

    Upload external resource files such as text files, Python files, or JAR files to Dataphin and add them as dependency files to ensure the node runs properly. For more information, see Configure dependency files in real-time mode.

    Dependency

    Dependencies define upstream and downstream relationships, helping you troubleshoot and test data flows. For more information, see Configure dependencies in real-time mode.