Databricks SDK for JavaScript
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    Interface UpdateInfo

    interface UpdateInfo {
        cause?: UpdateCause;
        clusterId?: string;
        config?: PipelineSpec;
        creationTime?: bigint;
        fullRefresh?: boolean;
        fullRefreshSelection?: string[];
        parameters?: Record<string, string>;
        pipelineId?: string;
        refreshSelection?: string[];
        state?: UpdateState;
        updateId?: string;
        validateOnly?: boolean;
    }
    Index

    Properties

    cause? clusterId? config? creationTime? fullRefresh? fullRefreshSelection? parameters? pipelineId? refreshSelection? state? updateId? validateOnly?

    Properties

    cause?: UpdateCause

    What triggered this update.

    clusterId?: string

    The ID of the cluster that the update is running on.

    config?: PipelineSpec

    The pipeline configuration with system defaults applied where unspecified by the user. Not returned by ListUpdates.

    creationTime?: bigint

    The time when this update was created.

    fullRefresh?: boolean

    If true, this update will reset all tables before running.

    fullRefreshSelection?: string[]

    A list of tables to update with fullRefresh. If both refresh_selection and full_refresh_selection are empty, this is a full graph update. Full Refresh on a table means that the states of the table will be reset before the refresh.

    parameters?: Record<string, string>

    Key/value map of parameters used to initiate the update

    pipelineId?: string

    The ID of the pipeline.

    refreshSelection?: string[]

    A list of tables to update without fullRefresh. If both refresh_selection and full_refresh_selection are empty, this is a full graph update. Full Refresh on a table means that the states of the table will be reset before the refresh.

    state?: UpdateState

    The update state.

    updateId?: string

    The ID of this update.

    validateOnly?: boolean

    If true, this update only validates the correctness of pipeline source code but does not materialize or publish any datasets.

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