Bumping version to v2.2.0-kubernetes-0.3.0

conf/kubernetes-resource-staging-server.yaml

@@ -32,7 +32,7 @@ spec:
             name: spark-resource-staging-server-config
       containers:
         - name: spark-resource-staging-server
-          image: kubespark/spark-resource-staging-server:v2.1.0-kubernetes-0.2.0
+          image: kubespark/spark-resource-staging-server:v2.2.0-kubernetes-0.3.0
           resources:
             requests:
               cpu: 100m

conf/kubernetes-shuffle-service.yaml

@@ -20,14 +20,14 @@ kind: DaemonSet
 metadata:
   labels:
     app: spark-shuffle-service
-    spark-version: 2.1.0
+    spark-version: 2.2.0
   name: shuffle
 spec:
   template:
     metadata:
       labels:
         app: spark-shuffle-service
-        spark-version: 2.1.0
+        spark-version: 2.2.0
     spec:
       volumes:
         - name: temp-volume
@@ -38,7 +38,7 @@ spec:
           # This is an official image that is built
           # from the dockerfiles/shuffle directory
           # in the spark distribution.
-          image: kubespark/spark-shuffle:v2.1.0-kubernetes-0.2.0
+          image: kubespark/spark-shuffle:v2.2.0-kubernetes-0.3.0
           imagePullPolicy: IfNotPresent
           volumeMounts:
             - mountPath: '/tmp'
@@ -51,4 +51,4 @@ spec:
              requests:
                cpu: "1"
              limits:
-               cpu: "1"
+               cpu: "1"

docs/running-on-kubernetes.md

@@ -36,15 +36,15 @@ If you wish to use pre-built docker images, you may use the images published in
 <tr><th>Component</th><th>Image</th></tr>
 <tr>
   <td>Spark Driver Image</td>
-  <td><code>kubespark/spark-driver:v2.1.0-kubernetes-0.2.0</code></td>
+  <td><code>kubespark/spark-driver:v2.2.0-kubernetes-0.3.0</code></td>
 </tr>
 <tr>
   <td>Spark Executor Image</td>
-  <td><code>kubespark/spark-executor:v2.1.0-kubernetes-0.2.0</code></td>
+  <td><code>kubespark/spark-executor:v2.2.0-kubernetes-0.3.0</code></td>
 </tr>
 <tr>
   <td>Spark Initialization Image</td>
-  <td><code>kubespark/spark-init:v2.1.0-kubernetes-0.2.0</code></td>
+  <td><code>kubespark/spark-init:v2.2.0-kubernetes-0.3.0</code></td>
 </tr>
 </table>
 
@@ -80,9 +80,9 @@ are set up as described above:
       --kubernetes-namespace default \
       --conf spark.executor.instances=5 \
       --conf spark.app.name=spark-pi \
-      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.1.0-kubernetes-0.2.0 \
+      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.2.0-kubernetes-0.3.0 \
       local:///opt/spark/examples/jars/spark_examples_2.11-2.2.0.jar
 
 The Spark master, specified either via passing the `--master` command line argument to `spark-submit` or by setting
@@ -129,9 +129,9 @@ and then you can compute the value of Pi as follows:
       --kubernetes-namespace default \
       --conf spark.executor.instances=5 \
       --conf spark.app.name=spark-pi \
-      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.1.0-kubernetes-0.2.0 \
+      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.2.0-kubernetes-0.3.0 \
       --conf spark.kubernetes.resourceStagingServer.uri=http://<address-of-any-cluster-node>:31000 \
       examples/jars/spark_examples_2.11-2.2.0.jar
 
@@ -170,9 +170,9 @@ If our local proxy were listening on port 8001, we would have our submission loo
       --kubernetes-namespace default \
       --conf spark.executor.instances=5 \
       --conf spark.app.name=spark-pi \
-      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.1.0-kubernetes-0.2.0 \
+      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.2.0-kubernetes-0.3.0 \
       local:///opt/spark/examples/jars/spark_examples_2.11-2.2.0.jar
 
 Communication between Spark and Kubernetes clusters is performed using the fabric8 kubernetes-client library.
@@ -220,7 +220,7 @@ service because there may be multiple shuffle service instances running in a clu
 a way to target a particular shuffle service.
 
 For example, if the shuffle service we want to use is in the default namespace, and
-has pods with labels `app=spark-shuffle-service` and `spark-version=2.1.0`, we can
+has pods with labels `app=spark-shuffle-service` and `spark-version=2.2.0`, we can
 use those tags to target that particular shuffle service at job launch time. In order to run a job with dynamic allocation enabled,
 the command may then look like the following:
 
@@ -235,7 +235,7 @@ the command may then look like the following:
       --conf spark.dynamicAllocation.enabled=true \
       --conf spark.shuffle.service.enabled=true \
       --conf spark.kubernetes.shuffle.namespace=default \
-      --conf spark.kubernetes.shuffle.labels="app=spark-shuffle-service,spark-version=2.1.0" \
+      --conf spark.kubernetes.shuffle.labels="app=spark-shuffle-service,spark-version=2.2.0" \
       local:///opt/spark/examples/jars/spark_examples_2.11-2.2.0.jar 10 400000 2
 
 ## Advanced
@@ -312,9 +312,9 @@ communicate with the resource staging server over TLS. The trustStore can be set
       --kubernetes-namespace default \
       --conf spark.executor.instances=5 \
       --conf spark.app.name=spark-pi \
-      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.1.0-kubernetes-0.2.0 \
-      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.1.0-kubernetes-0.2.0 \
+      --conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:v2.2.0-kubernetes-0.3.0 \
+      --conf spark.kubernetes.initcontainer.docker.image=kubespark/spark-init:v2.2.0-kubernetes-0.3.0 \
       --conf spark.kubernetes.resourceStagingServer.uri=https://<address-of-any-cluster-node>:31000 \
       --conf spark.ssl.kubernetes.resourceStagingServer.enabled=true \
       --conf spark.ssl.kubernetes.resourceStagingServer.clientCertPem=/home/myuser/cert.pem \