apiVersion: al-assad.github.io/v1beta1
kind: DorisAutoscaler
metadata:
  name: basic-autoscale
spec:
  # The doris cluster name to be scaled
  cluster: basic

  # Whether to disable the behavior of scaling down.
  # disableScaleDown: false

  # The period of time in seconds for each scaling operation.
  # scalePeriodSeconds:
  #   scaleUp: 60
  #   scaleDown: 60

  cn:
    # The maximum and minimum CN replicas of automatic scaling.
    replicas:
      min: 1
      max: 5
    # Metrics rules for scaling
    rules:
      # Use CPU metrics as scaling rules (optional)
      # The maximum and minimum CPU utilization of CN, the value is a percentage, such as 80 represents 80%.
      #
      # When the average overall cpu usage of a CN cluster is greater than the max value for a period of time,
      # one replica would be automatically added until the next round of computation is below this max value.
      # When the average overall cpu usage of a CN cluster is less than the min value for a period of time,
      # one replica would be automatically removed until the next round of computation is above this min value.
      cpu:
        max: 90
        min: 20
      # Use Memory metrics as scaling rules (optional)
      # The maximum and minimum CPU utilization of CN, the value is a percentage, such as 80 represents 80%.
      memory:
        max: 80
        min: 20