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HIVE-29492: Add AutoScaling to K8s operator #6507

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b7d87ba
K8s: Add AutoScaling
ayushtkn May 25, 2026
930af89
Fix Scaling HMS & Refactor
ayushtkn May 26, 2026
289c2b4
Fix CPU Utilization Scaling
ayushtkn May 28, 2026
9245804
Fix HS2 Scaling Down
ayushtkn May 28, 2026
760a5b2
Fixes
ayushtkn May 29, 2026
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549 changes: 541 additions & 8 deletions packaging/src/kubernetes/README.md
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256 changes: 256 additions & 0 deletions packaging/src/kubernetes/helm/hive-operator/crds/hiveclusters.hive.apache.org-v1.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,70 @@ spec:
hiveServer2:
description: HiveServer2 component configuration
properties:
autoscaling:
description: Autoscaling configuration (requires KEDA installed
in the cluster)
properties:
activationCpuValue:
description: CPU average value below which the trigger is
inactive. Required if targetCpuValue is set.
type: string
cooldownSeconds:
default: 600
description: Cooldown period in seconds after all KEDA triggers
are inactive before scaling from 1 to 0 (scale-to-zero delay)
type: integer
enabled:
default: false
description: Whether autoscaling is enabled for this component
type: boolean
gracePeriodSeconds:
default: 3600
description: Maximum time in seconds to wait for graceful
drain during scale-down before the pod is forcibly terminated.
The pod terminates immediately once sessions/connections
drain to 0; this value is only the upper safety cap.
type: integer
metricsScrapeIntervalSeconds:
default: 10
description: Prometheus scrape interval in seconds for this
component's metrics. Lower values make autoscaling react
faster but increase Prometheus load.
type: integer
minReplicas:
default: 0
description: Minimum number of replicas (floor for scale-down).
Set to 0 for scale-to-zero (HS2 requires KEDA HTTP Add-on
for wake-from-zero)
type: integer
scaleDownStabilizationSeconds:
default: 300
description: Stabilization window in seconds for scale-down
decisions. HPA picks the highest recommendation within this
window to prevent premature scale-down.
type: integer
scaleDownThreshold:
default: 20
description: Threshold that triggers scale-down for Prometheus-based
metrics
type: integer
scaleUpStabilizationSeconds:
default: 60
description: Stabilization window in seconds for scale-up
decisions. HPA picks the highest recommendation within this
window to prevent flapping.
type: integer
scaleUpThreshold:
default: 80
description: "Threshold that triggers scale-up (component-specific:\
\ sessions for HS2, connections for HMS, queue depth for\
\ LLAP, pending tasks for TezAM)"
type: integer
targetCpuValue:
description: "Target CPU average value for scaling (e.g.,\
\ '1500m' or '1'). If omitted, CPU scaling is disabled."
type: string
type: object
configOverrides:
additionalProperties:
type: string
Expand Down Expand Up @@ -152,6 +216,70 @@ spec:
llap:
description: LLAP daemon configuration. Enabled by default.
properties:
autoscaling:
description: Autoscaling configuration (requires KEDA installed
in the cluster)
properties:
activationCpuValue:
description: CPU average value below which the trigger is
inactive. Required if targetCpuValue is set.
type: string
cooldownSeconds:
default: 600
description: Cooldown period in seconds after all KEDA triggers
are inactive before scaling from 1 to 0 (scale-to-zero delay)
type: integer
enabled:
default: false
description: Whether autoscaling is enabled for this component
type: boolean
gracePeriodSeconds:
default: 3600
description: Maximum time in seconds to wait for graceful
drain during scale-down before the pod is forcibly terminated.
The pod terminates immediately once sessions/connections
drain to 0; this value is only the upper safety cap.
type: integer
metricsScrapeIntervalSeconds:
default: 10
description: Prometheus scrape interval in seconds for this
component's metrics. Lower values make autoscaling react
faster but increase Prometheus load.
type: integer
minReplicas:
default: 0
description: Minimum number of replicas (floor for scale-down).
Set to 0 for scale-to-zero (HS2 requires KEDA HTTP Add-on
for wake-from-zero)
type: integer
scaleDownStabilizationSeconds:
default: 300
description: Stabilization window in seconds for scale-down
decisions. HPA picks the highest recommendation within this
window to prevent premature scale-down.
type: integer
scaleDownThreshold:
default: 20
description: Threshold that triggers scale-down for Prometheus-based
metrics
type: integer
scaleUpStabilizationSeconds:
default: 60
description: Stabilization window in seconds for scale-up
decisions. HPA picks the highest recommendation within this
window to prevent flapping.
type: integer
scaleUpThreshold:
default: 80
description: "Threshold that triggers scale-up (component-specific:\
\ sessions for HS2, connections for HMS, queue depth for\
\ LLAP, pending tasks for TezAM)"
type: integer
targetCpuValue:
description: "Target CPU average value for scaling (e.g.,\
\ '1500m' or '1'). If omitted, CPU scaling is disabled."
type: string
type: object
configOverrides:
additionalProperties:
type: string
Expand Down Expand Up @@ -235,6 +363,70 @@ spec:
metastore:
description: Metastore component configuration
properties:
autoscaling:
description: Autoscaling configuration (requires KEDA installed
in the cluster)
properties:
activationCpuValue:
description: CPU average value below which the trigger is
inactive. Required if targetCpuValue is set.
type: string
cooldownSeconds:
default: 600
description: Cooldown period in seconds after all KEDA triggers
are inactive before scaling from 1 to 0 (scale-to-zero delay)
type: integer
enabled:
default: false
description: Whether autoscaling is enabled for this component
type: boolean
gracePeriodSeconds:
default: 3600
description: Maximum time in seconds to wait for graceful
drain during scale-down before the pod is forcibly terminated.
The pod terminates immediately once sessions/connections
drain to 0; this value is only the upper safety cap.
type: integer
metricsScrapeIntervalSeconds:
default: 10
description: Prometheus scrape interval in seconds for this
component's metrics. Lower values make autoscaling react
faster but increase Prometheus load.
type: integer
minReplicas:
default: 0
description: Minimum number of replicas (floor for scale-down).
Set to 0 for scale-to-zero (HS2 requires KEDA HTTP Add-on
for wake-from-zero)
type: integer
scaleDownStabilizationSeconds:
default: 300
description: Stabilization window in seconds for scale-down
decisions. HPA picks the highest recommendation within this
window to prevent premature scale-down.
type: integer
scaleDownThreshold:
default: 20
description: Threshold that triggers scale-down for Prometheus-based
metrics
type: integer
scaleUpStabilizationSeconds:
default: 60
description: Stabilization window in seconds for scale-up
decisions. HPA picks the highest recommendation within this
window to prevent flapping.
type: integer
scaleUpThreshold:
default: 80
description: "Threshold that triggers scale-up (component-specific:\
\ sessions for HS2, connections for HMS, queue depth for\
\ LLAP, pending tasks for TezAM)"
type: integer
targetCpuValue:
description: "Target CPU average value for scaling (e.g.,\
\ '1500m' or '1'). If omitted, CPU scaling is disabled."
type: string
type: object
configOverrides:
additionalProperties:
type: string
Expand Down Expand Up @@ -371,6 +563,70 @@ spec:
tezAm:
description: Tez Application Master configuration. Enabled by default.
properties:
autoscaling:
description: Autoscaling configuration (requires KEDA installed
in the cluster)
properties:
activationCpuValue:
description: CPU average value below which the trigger is
inactive. Required if targetCpuValue is set.
type: string
cooldownSeconds:
default: 600
description: Cooldown period in seconds after all KEDA triggers
are inactive before scaling from 1 to 0 (scale-to-zero delay)
type: integer
enabled:
default: false
description: Whether autoscaling is enabled for this component
type: boolean
gracePeriodSeconds:
default: 3600
description: Maximum time in seconds to wait for graceful
drain during scale-down before the pod is forcibly terminated.
The pod terminates immediately once sessions/connections
drain to 0; this value is only the upper safety cap.
type: integer
metricsScrapeIntervalSeconds:
default: 10
description: Prometheus scrape interval in seconds for this
component's metrics. Lower values make autoscaling react
faster but increase Prometheus load.
type: integer
minReplicas:
default: 0
description: Minimum number of replicas (floor for scale-down).
Set to 0 for scale-to-zero (HS2 requires KEDA HTTP Add-on
for wake-from-zero)
type: integer
scaleDownStabilizationSeconds:
default: 300
description: Stabilization window in seconds for scale-down
decisions. HPA picks the highest recommendation within this
window to prevent premature scale-down.
type: integer
scaleDownThreshold:
default: 20
description: Threshold that triggers scale-down for Prometheus-based
metrics
type: integer
scaleUpStabilizationSeconds:
default: 60
description: Stabilization window in seconds for scale-up
decisions. HPA picks the highest recommendation within this
window to prevent flapping.
type: integer
scaleUpThreshold:
default: 80
description: "Threshold that triggers scale-up (component-specific:\
\ sessions for HS2, connections for HMS, queue depth for\
\ LLAP, pending tasks for TezAM)"
type: integer
targetCpuValue:
description: "Target CPU average value for scaling (e.g.,\
\ '1500m' or '1'). If omitted, CPU scaling is disabled."
type: string
type: object
configOverrides:
additionalProperties:
type: string
Expand Down
12 changes: 12 additions & 0 deletions packaging/src/kubernetes/helm/hive-operator/templates/clusterrole.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -50,3 +50,15 @@ rules:
- apiGroups: [""]
resources: ["pods"]
verbs: ["get", "list", "watch"]
# PodDisruptionBudgets for graceful autoscaling
- apiGroups: ["policy"]
resources: ["poddisruptionbudgets"]
verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
# KEDA ScaledObjects for autoscaling
- apiGroups: ["keda.sh"]
resources: ["scaledobjects", "triggerauthentications"]
verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
# KEDA HTTP Add-on for scale-to-zero (wake-from-zero on HTTP request)
- apiGroups: ["http.keda.sh"]
resources: ["httpscaledobjects", "interceptorroutes"]
verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
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