Databricks Autoscale Badly Setup

• Query id: 953c0cc6-5f30-44cb-a803-bf4ef2571be8
• Query name: Databricks Autoscale Badly Setup
• Platform: Terraform
• Severity: Medium
• Category: Resource Management
• URL: Github

Description

Databricks should have min and max worker setup for autoscale
Documentation

Code samples

Code samples with security vulnerabilities

Positive test num. 1 - tf file

resource "databricks_cluster" "positive1" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 20
  autoscale {
    min_workers = 1
  }
  aws_attributes {
    availability           = "SPOT"
    zone_id                = "us-east-1"
    first_on_demand        = 1
    spot_bid_price_percent = 100
  }
}

Positive test num. 2 - tf file

resource "databricks_cluster" "positive2" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 20
  autoscale {
    max_workers = 50
  }
  aws_attributes {
    availability           = "SPOT"
    zone_id                = "us-east-1"
    first_on_demand        = 1
    spot_bid_price_percent = 100
  }
}

Code samples without security vulnerabilities

Negative test num. 1 - tf file

resource "databricks_cluster" "negative" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 20
  autoscale {
    min_workers = 1
    max_workers = 50
  }
  aws_attributes {
    availability           = "SPOT_WITH_FALLBACK"
    zone_id                = "auto"
    first_on_demand        = 1
    spot_bid_price_percent = 100
  }
}