Dataphin allows you to configure running parameters in real-time templates. Tasks created from these templates inherit the configured parameters.
Procedure
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Navigate to the Dataphin home page, and single click on the top menu bar Development > Data Development.
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On the Data Development page, use the operation guide shown in the figure below to select the desired real-time template, manage historical versions, and access the template version management page.

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In the Configuration dialog box, set the running parameters.
Default running parameters for real-time templates:
Flink real-time computing engine
execution.checkpointing.interval: '180s' execution.checkpointing.min-pause: '180s' table.exec.state.ttl: 36 hVerverica Flink real-time computing engine
execution.checkpointing.externalized-checkpoint-retention: RETAIN_ON_CANCELLATION metrics.reporters: promappmgr metrics.reporter.promappmgr.port: '9999' metrics.reporter.promappmgr.class: org.apache.flink.metrics.prometheus.PrometheusReporter dataphin.vvp.v2: true execution.checkpointing.interval: '180s' execution.checkpointing.min-pause: '180s' table.exec.state.ttl: 36 hRunning parameter merge and precedence:
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By default, tasks derived from the template adopt the template's running configuration.
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For a new job, the parameters combine: Default Task Running Parameters + Project Task Running Parameters.
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For a new template, the parameters combine: Default Task Running Parameters + Project Task Running Parameters.
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If the default and project running parameters share a common parameter, the project parameter value takes precedence.
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A new template task uses the template's running parameters. If the template parameters are unchanged, the task parameters match those of non-template tasks. Any changes to the template parameters apply to the new task.
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When you modify template parameters, existing parameter values in template tasks remain unchanged, and new parameters are added.
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To finalize the configuration of running parameters, single click OK.