Databricks SDK for JavaScript
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    Interface RepairRunRequest

    interface RepairRunRequest {
        dbtCommands?: string[];
        jarParams?: string[];
        jobParameters?: Record<string, string>;
        latestRepairId?: bigint;
        notebookParams?: Record<string, string>;
        performanceTarget?: PerformanceTarget_PerformanceTarget;
        pipelineParams?: PipelineParameters;
        pythonNamedParams?: Record<string, string>;
        pythonParams?: string[];
        rerunAllFailedTasks?: boolean;
        rerunDependentTasks?: boolean;
        rerunTasks?: string[];
        runId?: bigint;
        sparkSubmitParams?: string[];
        sqlParams?: Record<string, string>;
    }
    Index

    Properties

    dbtCommands? jarParams? jobParameters? latestRepairId? notebookParams? performanceTarget? pipelineParams? pythonNamedParams? pythonParams? rerunAllFailedTasks? rerunDependentTasks? rerunTasks? runId? sparkSubmitParams? sqlParams?

    Properties

    dbtCommands?: string[]

    An array of commands to execute for jobs with the dbt task, for example "dbt_commands": ["dbt deps", "dbt seed", "dbt deps", "dbt seed", "dbt run"]

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

    jarParams?: string[]

    A list of parameters for jobs with Spark JAR tasks, for example "jar_params": ["john doe", "35"]. The parameters are used to invoke the main function of the main class specified in the Spark JAR task. If not specified upon run-now, it defaults to an empty list. jar_params cannot be specified in conjunction with notebook_params. The JSON representation of this field (for example {"jar_params":["john doe","35"]}) cannot exceed 10,000 bytes.

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

    jobParameters?: Record<string, string>

    Job-level parameters used in the run. for example "param": "overriding_val"

    latestRepairId?: bigint

    The ID of the latest repair. This parameter is not required when repairing a run for the first time, but must be provided on subsequent requests to repair the same run.

    notebookParams?: Record<string, string>

    A map from keys to values for jobs with notebook task, for example "notebook_params": {"name": "john doe", "age": "35"}. The map is passed to the notebook and is accessible through the dbutils.widgets.get function.

    If not specified upon run-now, the triggered run uses the job’s base parameters.

    notebook_params cannot be specified in conjunction with jar_params.

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

    The JSON representation of this field (for example {"notebook_params":{"name":"john doe","age":"35"}}) cannot exceed 10,000 bytes.

    performanceTarget?: PerformanceTarget_PerformanceTarget

    The performance mode on a serverless job. The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.

    • STANDARD: Enables cost-efficient execution of serverless workloads.
    • PERFORMANCE_OPTIMIZED: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.
    pipelineParams?: PipelineParameters

    Controls whether the pipeline should perform a full refresh

    pythonNamedParams?: Record<string, string>
    pythonParams?: string[]

    A list of parameters for jobs with Python tasks, for example "python_params": ["john doe", "35"]. The parameters are passed to Python file as command-line parameters. If specified upon run-now, it would overwrite the parameters specified in job setting. The JSON representation of this field (for example {"python_params":["john doe","35"]}) cannot exceed 10,000 bytes.

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

    Important

    These parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error. Examples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.

    rerunAllFailedTasks?: boolean

    If true, repair all failed tasks. Only one of rerun_tasks or rerun_all_failed_tasks can be used.

    rerunDependentTasks?: boolean

    If true, repair all tasks that depend on the tasks in rerun_tasks, even if they were previously successful. Can be also used in combination with rerun_all_failed_tasks.

    rerunTasks?: string[]

    The task keys of the task runs to repair.

    runId?: bigint

    The job run ID of the run to repair. The run must not be in progress.

    sparkSubmitParams?: string[]

    A list of parameters for jobs with spark submit task, for example "spark_submit_params": ["--class", "org.apache.spark.examples.SparkPi"]. The parameters are passed to spark-submit script as command-line parameters. If specified upon run-now, it would overwrite the parameters specified in job setting. The JSON representation of this field (for example {"python_params":["john doe","35"]}) cannot exceed 10,000 bytes.

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

    Important

    These parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error. Examples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.

    sqlParams?: Record<string, string>

    A map from keys to values for jobs with SQL task, for example "sql_params": {"name": "john doe", "age": "35"}. The SQL alert task does not support custom parameters.

    ⚠ Deprecation note Use job parameters to pass information down to tasks.

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