Spark: Add DM template for Spark

This is a first-cut template based on
https://github.com/kubernetes/kubernetes/tree/master/examples/spark
with minor templating. As I iterate on that example to add PDs, etc.
(which will add much more variance), I'll iterate here, too.

templates/spark/v1/example.yaml

+imports:
+- path: spark.jinja
+
+resources:
+- name: spark
+  type: spark.jinja

templates/spark/v1/spark.jinja

+{% set PROPERTIES = properties or {} %}
+{% set WORKERS = PROPERTIES['workers'] or 2 %}
+{% set REPO = PROPERTIES['repository'] or 'gcr.io/google_containers' %}
+{% set SPARK_VERSION = PROPERTIES['spark_version'] or '1.5.1_v2' %}
+{% set ZEPPELIN_VERSION = PROPERTIES['zeppelin_version'] or 'v0.5.5_v2' %}
+{% set MASTER_CPU = PROPERTIES['master_cpu'] or '100m' %}
+{% set ZEPPELIN_CPU = PROPERTIES['zeppelin_cpu'] or '100m' %}
+{% set WORKER_CPU = PROPERTIES['worker_cpu'] or '100m' %}
+
+# TODO(zmerlynn): This can't be a standard replicatedservice (yet) because of:
+# - the double containerPort
+# - the cpu request
+# (neither are possible in the type as of v2)
+resources:
+- name: spark-master
+  type: ReplicationController
+  properties:
+    kind: ReplicationController
+    apiVersion: v1
+    metadata:
+      name: spark-master-controller
+    spec:
+      replicas: 1
+      selector:
+        component: spark-master
+      template:
+        metadata:
+          labels:
+            component: spark-master
+        spec:
+          containers:
+            - name: spark-master
+              image: {{ REPO }}/spark-master:{{ SPARK_VERSION }}
+              ports:
+                - containerPort: 7077
+                - containerPort: 8080
+              resources:
+                requests:
+                  cpu: {{ MASTER_CPU }}
+- name: spark-master-service
+  type: Service
+  properties:
+    kind: Service
+    apiVersion: v1
+    metadata:
+      name: spark-master
+    spec:
+      ports:
+        - port: 7077
+          targetPort: 7077
+      selector:
+        component: spark-master
+- name: spark-webui
+  type: Service
+  properties:
+    kind: Service
+    apiVersion: v1
+    metadata:
+      name: spark-webui
+    spec:
+      ports:
+        - port: 8080
+          targetPort: 8080
+      selector:
+        component: spark-master
+- name: spark-worker-controller
+  type: ReplicationController
+  properties:
+    kind: ReplicationController
+    apiVersion: v1
+    metadata:
+      name: spark-worker-controller
+    spec:
+      replicas: 3
+      selector:
+        component: spark-worker
+      template:
+        metadata:
+          labels:
+            component: spark-worker
+        spec:
+          containers:
+            - name: spark-worker
+              image: {{ REPO }}/spark-worker:{{ SPARK_VERSION }}
+              ports:
+                - containerPort: 8081
+              resources:
+                requests:
+                  cpu: {{ WORKER_CPU }}
+- name: zeppelin-controller
+  type: ReplicationController
+  properties:
+    kind: ReplicationController
+    apiVersion: v1
+    metadata:
+      name: zeppelin-controller
+    spec:
+      replicas: 1
+      selector:
+        component: zeppelin
+      template:
+        metadata:
+          labels:
+            component: zeppelin
+        spec:
+          containers:
+            - name: zeppelin
+              image: {{ REPO }}/zeppelin:{{ ZEPPELIN_VERSION }}
+              ports:
+                - containerPort: 8080
+              resources:
+                requests:
+                  cpu: {{ ZEPPELIN_CPU }}

templates/spark/v1/spark.jinja.schema

+info:
+  title: Spark cluster with Zeppelin front-end
+  description: |
+    Defines a Spark cluster with a single master in standalone mode,
+    and a Zeppelin web notebook front-end. After deploying the
+    cluster, the Spark WebUI can be accessed by starting:
+
+      kubectl proxy --port=8001 &
+
+    Then visiting:
+
+      http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/
+
+    The Zeppelin WebUI can be access by finding the Zeppelin pod and port-forwarding:
+
+      kubectl get pods -lcomponent=zeppelin # Take the pod from here
+      kubectl port-forward zeppelin-controller-abcef :8080
+
+    Then visit the forwarded port.
+
+properties:
+  master_cpu:
+    type: string
+    default: 100m
+    description: CPU request for the master (in KCUs) (see http://kubernetes.io/v1.1/docs/design/resources.html)
+
+  workers:
+    type: int
+    default: 3
+    description: Number of Spark workers.
+
+  worker_cpu:
+    type: string
+    default: 100m
+    description: CPU request for each worker (in KCUs) (see http://kubernetes.io/v1.1/docs/design/resources.html)
+
+  repository:
+    type: string
+    default: gcr.io/google_containers
+    description: Docker repo that houses the {spark-worker, spark-master, zeppelin} images.
+
+  spark_version:
+    type: string
+    default: 1.5.1_v2
+    description: spark-worker / spark-master image version to use
+
+  zeppelin_version:
+    type: string
+    default: 0.5.5_v2
+    description: zeppelin image version to use