Databricks · Schema

AutoScale

Autoscaling configuration. When set, num_workers is ignored and the cluster scales between min_workers and max_workers.

Artificial IntelligenceAnalyticsApache SparkBig DataClean RoomsCloud ComputingDataData AnalyticsData EngineeringData GovernanceDelta LakeDelta SharingETLIdentity ManagementLakehouseMachine-LearningMLflowModel ServingSecuritySQLUnity CatalogVector SearchVisualize

Properties

Name Type Description
min_workers integer The minimum number of workers the cluster can scale down to.
max_workers integer The maximum number of workers the cluster can scale up to.
View JSON Schema on GitHub

JSON Schema

databricks-autoscale-schema.json Raw ↑ 
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/AutoScale",
  "title": "AutoScale",
  "type": "object",
  "properties": {
    "min_workers": {
      "type": "integer",
      "description": "The minimum number of workers the cluster can scale down to.",
      "example": 10
    },
    "max_workers": {
      "type": "integer",
      "description": "The maximum number of workers the cluster can scale up to.",
      "example": 10
    }
  },
  "description": "Autoscaling configuration. When set, num_workers is ignored and the cluster scales between min_workers and max_workers."
}