Added namespace to Spark example.

examples/examples_test.go

@@ -372,6 +372,7 @@ func TestExampleObjectSchemas(t *testing.T) {
 			"secret-env-pod": &api.Pod{},
 		},
 		"../examples/spark": {
+			"namespace-spark-cluster": &api.Namespace{},
 			"spark-master-controller": &api.ReplicationController{},
 			"spark-master-service":    &api.Service{},
 			"spark-webui":             &api.Service{},

examples/spark/README.md

@@ -58,7 +58,31 @@ This example assumes
 
 For details, you can look at the Dockerfiles in the Sources section.
 
-## Step One: Start your Master service
+## Step One: Create namespace
+
+```sh
+$ kubectl create -f examples/spark/namespace-spark-cluster.yaml
+```
+
+Now list all namespaces:
+
+```sh
+$ kubectl get namespaces
+NAME          LABELS             STATUS
+default       <none>             Active
+spark-cluster name=spark-cluster Active
+```
+
+For kubectl client to work with namespace, we define one context and use it:
+
+```sh
+$ kubectl config set-context spark --namespace=spark-cluster --cluster=${CLUSTER_NAME} --user=${USER_NAME}
+$ kubectl config use-context spark
+```
+
+You can view your cluster name and user name in kubernetes config at ~/.kube/config.
+
+## Step Two: Start your Master service
 
 The Master [service](../../docs/user-guide/services.md) is the master service
 for a Spark cluster.
@@ -71,7 +95,7 @@ running the Spark Master service.
 
 ```console
 $ kubectl create -f examples/spark/spark-master-controller.yaml
-replicationcontrollers/spark-master-controller
+replicationcontroller "spark-master-controller" created
 ```
 
 Then, use the
@@ -81,14 +105,14 @@ Master pod.
 
 ```console
 $ kubectl create -f examples/spark/spark-master-service.yaml
-services/spark-master
+service "spark-master" created
 ```
 
 You can then create a service for the Spark Master WebUI:
 
 ```console
 $ kubectl create -f examples/spark/spark-webui.yaml
-services/spark-webui
+service "spark-webui" created
 ```
 
 ### Check to see if Master is running and accessible
@@ -134,7 +158,7 @@ kubectl proxy --port=8001
 At which point the UI will be available at
 [http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/](http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/).
 
-## Step Two: Start your Spark workers
+## Step Three: Start your Spark workers
 
 The Spark workers do the heavy lifting in a Spark cluster. They
 provide execution resources and data cache capabilities for your
@@ -147,6 +171,7 @@ Use the [`examples/spark/spark-worker-controller.yaml`](spark-worker-controller.
 
 ```console
 $ kubectl create -f examples/spark/spark-worker-controller.yaml
+replicationcontroller "spark-worker-controller" created
 ```
 
 ### Check to see if the workers are running
@@ -175,7 +200,7 @@ you should now see the workers in the UI as well. *Note:* The UI will have links
 to worker Web UIs. The worker UI links do not work (the links will attempt to
 connect to cluster IPs, which Kubernetes won't proxy automatically).
 
-## Step Three: Start the Zeppelin UI to launch jobs on your Spark cluster
+## Step Four: Start the Zeppelin UI to launch jobs on your Spark cluster
 
 The Zeppelin UI pod can be used to launch jobs into the Spark cluster either via
 a web notebook frontend or the traditional Spark command line. See
@@ -185,7 +210,7 @@ for more details.
 
 ```console
 $ kubectl create -f examples/spark/zeppelin-controller.yaml
-replicationcontrollers/zeppelin-controller
+replicationcontroller "zeppelin-controller" created
 ```
 
 Zeppelin needs the Master service to be running.
@@ -198,7 +223,7 @@ NAME                        READY     STATUS    RESTARTS   AGE
 zeppelin-controller-ja09s   1/1       Running   0          53s
 ```
 
-## Step Four: Do something with the cluster
+## Step Five: Do something with the cluster
 
 Now you have two choices, depending on your predilections. You can do something
 graphical with the Spark cluster, or you can stay in the CLI.

examples/spark/namespace-spark-cluster.yaml

+apiVersion: v1
+kind: Namespace
+metadata:
+  name: "spark-cluster"
+  labels:
+    name: "spark-cluster"

examples/spark/spark-gluster/glusterfs-endpoints.yaml

@@ -2,6 +2,7 @@ kind: Endpoints
 apiVersion: v1
 metadata:
   name: glusterfs-cluster
+  namespace: spark-cluster
 subsets:
   - addresses:
       - ip: 192.168.30.104

examples/spark/spark-gluster/spark-master-controller.yaml

@@ -2,6 +2,7 @@ kind: ReplicationController
 apiVersion: v1
 metadata:
   name: spark-master-controller
+  namespace: spark-cluster
   labels:
     component: spark-master
 spec:

examples/spark/spark-gluster/spark-master-service.yaml

@@ -2,6 +2,7 @@ kind: Service
 apiVersion: v1
 metadata:
   name: spark-master
+  namespace: spark-cluster
   labels:
     component: spark-master-service
 spec:

examples/spark/spark-gluster/spark-worker-controller.yaml

@@ -2,6 +2,7 @@ kind: ReplicationController
 apiVersion: v1
 metadata:
   name: spark-gluster-worker-controller
+  namespace: spark-cluster
   labels:
     component: spark-worker
 spec:

examples/spark/spark-master-controller.yaml

@@ -2,6 +2,7 @@ kind: ReplicationController
 apiVersion: v1
 metadata:
   name: spark-master-controller
+  namespace: spark-cluster
 spec:
   replicas: 1
   selector:

examples/spark/spark-master-service.yaml

@@ -2,6 +2,7 @@ kind: Service
 apiVersion: v1
 metadata:
   name: spark-master
+  namespace: spark-cluster
 spec:
   ports:
     - port: 7077

examples/spark/spark-webui.yaml

@@ -2,6 +2,7 @@ kind: Service
 apiVersion: v1
 metadata:
   name: spark-webui
+  namespace: spark-cluster
 spec:
   ports:
     - port: 8080

examples/spark/spark-worker-controller.yaml

@@ -2,6 +2,7 @@ kind: ReplicationController
 apiVersion: v1
 metadata:
   name: spark-worker-controller
+  namespace: spark-cluster
 spec:
   replicas: 2
   selector:

examples/spark/zeppelin-controller.yaml

@@ -2,6 +2,7 @@ kind: ReplicationController
 apiVersion: v1
 metadata:
   name: zeppelin-controller
+  namespace: spark-cluster
 spec:
   replicas: 1
   selector:

examples/spark/zeppelin-service.yaml

@@ -2,6 +2,7 @@ kind: Service
 apiVersion: v1
 metadata:
   name: zeppelin
+  namespace: spark-cluster
 spec:
   ports:
     - port: 8080