管理namespace中的资源配额

manifests/spark-with-kubernetes-native-scheduler/spark-compute-resources.yaml

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+apiVersion: v1
+kind: ResourceQuota
+metadata:
+  name: compute-resources
+  namespace: spark-cluster
+spec:
+  hard:
+    pods: "20"
+    requests.cpu: "20"
+    requests.memory: 100Gi
+    limits.cpu: "40"
+    limits.memory: 200Gi

manifests/spark-with-kubernetes-native-scheduler/spark-limit-range.yaml

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+apiVersion: v1
+kind: LimitRange
+metadata:
+  name: mem-limit-range
+spec:
+  limits:
+  - default:
+      memory: 50Gi
+      cpu: 5
+    defaultRequest:
+      memory: 1Gi
+      cpu: 1
+    type: Container

manifests/spark-with-kubernetes-native-scheduler/spark-object-counts.yaml

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+apiVersion: v1
+kind: ResourceQuota
+metadata:
+  name: object-counts
+  namespace: spark-cluster
+spec:
+  hard:
+    configmaps: "10"
+    persistentvolumeclaims: "4"
+    replicationcontrollers: "20"
+    secrets: "10"
+    services: "10"
+    services.loadbalancers: "2"