Databricks SDK for JavaScript
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    Interface PipelinesAutoScale

    interface PipelinesAutoScale {
        maxWorkers?: number;
        minWorkers?: number;
        mode?: string;
    }
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    Properties

    maxWorkers? minWorkers? mode?

    Properties

    maxWorkers?: number

    The maximum number of workers to which the cluster can scale up when overloaded. max_workers must be strictly greater than min_workers.

    minWorkers?: number

    The minimum number of workers the cluster can scale down to when underutilized. It is also the initial number of workers the cluster will have after creation.

    mode?: string

    Databricks Enhanced Autoscaling optimizes cluster utilization by automatically allocating cluster resources based on workload volume, with minimal impact to the data processing latency of your pipelines. Enhanced Autoscaling is available for updates clusters only. The legacy autoscaling feature is used for maintenance clusters.

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