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Merge pull request #17025 from zmerlynn/zeppelin
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@ -355,11 +355,12 @@ func TestExampleObjectSchemas(t *testing.T) {
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"secret": &api.Secret{},
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},
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"../examples/spark": {
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"spark-driver-controller": &api.ReplicationController{},
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"spark-master-controller": &api.ReplicationController{},
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"spark-master-service": &api.Service{},
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"spark-webui": &api.Service{},
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"spark-worker-controller": &api.ReplicationController{},
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"zeppelin-controller": &api.ReplicationController{},
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"zeppelin-service": &api.Service{},
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},
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"../examples/spark/spark-gluster": {
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"spark-master-service": &api.Service{},
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@ -120,8 +120,8 @@ Spark Command: /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java -cp /opt/spark-1.5
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15/10/27 21:25:07 INFO Master: I have been elected leader! New state: ALIVE
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```
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After you know the master is running, you can use the (cluster
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proxy)[../../docs/user-guide/accessing-the-cluster.md#using-kubectl-proxy] to
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After you know the master is running, you can use the [cluster
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proxy](../../docs/user-guide/accessing-the-cluster.md#using-kubectl-proxy) to
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connect to the Spark WebUI:
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```console
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@ -129,7 +129,7 @@ kubectl proxy --port=8001
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```
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At which point the UI will be available at
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http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/
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[http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/](http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/).
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## Step Two: Start your Spark workers
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@ -172,32 +172,40 @@ you should now see the workers in the UI as well. *Note:* The UI will have links
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to worker Web UIs. The worker UI links do not work (the links will attempt to
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connect to cluster IPs, which Kubernetes won't proxy automatically).
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## Step Three: Start your Spark driver to launch jobs on your Spark cluster
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## Step Three: Start the Zeppelin UI to launch jobs on your Spark cluster
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The Spark driver is used to launch jobs into Spark cluster. You can read more about it in
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[Spark architecture](https://spark.apache.org/docs/latest/cluster-overview.html).
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The Zeppelin UI pod can be used to launch jobs into the Spark cluster either via
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a web notebook frontend or the traditional Spark command line. See
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[Zeppelin](https://zeppelin.incubator.apache.org/) and
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[Spark architecture](https://spark.apache.org/docs/latest/cluster-overview.html)
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for more details.
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```console
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$ kubectl create -f examples/spark/spark-driver-controller.yaml
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replicationcontrollers/spark-driver-controller
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$ kubectl create -f examples/spark/zeppelin-controller.yaml
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replicationcontrollers/zeppelin-controller
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```
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The Spark driver needs the Master service to be running.
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Zeppelin needs the Master service to be running.
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### Check to see if the driver is running
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### Check to see if Zeppelin is running
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```console
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$ kubectl get pods -lcomponent=spark-driver
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NAME READY STATUS RESTARTS AGE
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spark-driver-controller-vwb9c 1/1 Running 0 1m
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$ kubectl get pods -lcomponent=zeppelin
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NAME READY STATUS RESTARTS AGE
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zeppelin-controller-ja09s 1/1 Running 0 53s
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```
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## Step Four: Do something with the cluster
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Use the kubectl exec to connect to Spark driver and run a pipeline.
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Now you have two choices, depending on your predilections. You can do something
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graphical with the Spark cluster, or you can stay in the CLI.
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### Do something fast with pyspark!
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Use the kubectl exec to connect to the Zeppelin driver and run a pipeline.
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```console
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$ kubectl exec spark-driver-controller-vwb9c -it pyspark
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$ kubectl exec zeppelin-controller-ja09s -it pyspark
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Python 2.7.9 (default, Mar 1 2015, 12:57:24)
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[GCC 4.9.2] on linux2
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Type "help", "copyright", "credits" or "license" for more information.
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@ -217,6 +225,24 @@ SparkContext available as sc, HiveContext available as sqlContext.
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Congratulations, you just counted all of the words in all of the plays of
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Shakespeare.
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### Do something graphical and shiny!
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Take the Zeppelin pod from above and port-forward the WebUI port:
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```console
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$ kubectl port-forward zeppelin-controller-ja09s 8080:8080
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```
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This forwards `localhost` 8080 to container port 8080. You can then find
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Zeppelin at (https://localhost:8080/)[https://localhost:8080/].
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Create a "New Notebook". In there, type:
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```
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%pyspark
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print sc.textFile("gs://dataflow-samples/shakespeare/*").map(lambda s: len(s.split())).sum()
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```
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## Result
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You now have services and replication controllers for the Spark master, Spark
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@ -235,10 +261,46 @@ After it's setup:
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```console
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kubectl get pods # Make sure everything is running
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kubectl proxy --port=8001 # Start an application proxy, if you want to see the Spark WebUI
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kubectl get pods -lcomponent=spark-driver # Get the driver pod to interact with.
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kubectl proxy --port=8001 # Start an application proxy, if you want to see the Spark Master WebUI
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kubectl get pods -lcomponent=zeppelin # Get the driver pod to interact with.
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```
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At which point the Master UI will be available at
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[http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/](http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/).
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You can either interact with the Spark cluster the traditional `spark-shell` /
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`spark-subsubmit` / `pyspark` commands by using `kubectl exec` against the
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`zeppelin-controller` pod, or if you want to interact with Zeppelin:
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```console
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kubectl port-forward zeppelin-controller-abc123 8080:8080 &
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```
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Then visit [http://localhost:8080/](http://localhost:8080/).
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## Known Issues With Spark
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* This provides a Spark configuration that is restricted to the cluster network,
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meaning the Spark master is only available as a cluster service. If you need
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to submit jobs using external client other than Zeppelin or `spark-submit` on
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the `zeppelin` pod, you will need to provide a way for your clients to get to
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the
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[`examples/spark/spark-master-service.yaml`](spark-master-service.yaml). See
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[Services](../../docs/user-guide/services.md) for more information.
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## Known Issues With Zeppelin
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* The Zeppelin pod is large, so it may take a while to pull depending on your
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network. The size of the Zeppelin pod is something we're working on, see issue #17231.
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* Zeppelin may take some time (about a minute) on this pipeline the first time
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you run it. It seems to take considerable time to load.
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* On GKE, `kubectl port-forward` may not be stable over long periods of time. If
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you see Zeppelin go into `Disconnected` state (there will be a red dot on the
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top right as well), the `port-forward` probably failed and needs to be
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restarted. See #12179.
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<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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[]()
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<!-- END MUNGE: GENERATED_ANALYTICS -->
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@ -1,12 +1,20 @@
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all: push
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push: push-spark push-zeppelin
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.PHONY: push push-spark push-zeppelin spark zeppelin
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# To bump the Spark version, bump the version in base/Dockerfile, bump
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# this tag and reset to v1. You should also double check the native
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# Hadoop libs at that point (we grab the 2.6.1 libs, which are
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# appropriate for 1.5.1-with-2.6).
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# the version in zeppelin/Dockerfile, bump this tag and reset to
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# v1. You should also double check the native Hadoop libs at that
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# point (we grab the 2.6.1 libs, which are appropriate for
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# 1.5.1-with-2.6). Note that you'll need to re-test Zeppelin (and it
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# may not have caught up to newest Spark).
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TAG = 1.5.1_v2
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containers:
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# To bump the Zeppelin version, bump the version in
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# zeppelin/Dockerfile and bump this tag and reset to v1.
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ZEPPELIN_TAG = v0.5.5_v1
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spark:
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docker build -t gcr.io/google_containers/spark-base base
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docker tag gcr.io/google_containers/spark-base gcr.io/google_containers/spark-base:$(TAG)
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docker build -t gcr.io/google_containers/spark-worker worker
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@ -16,7 +24,11 @@ containers:
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docker build -t gcr.io/google_containers/spark-driver driver
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docker tag gcr.io/google_containers/spark-driver gcr.io/google_containers/spark-driver:$(TAG)
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push: containers
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zeppelin:
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docker build -t gcr.io/google_containers/zeppelin zeppelin
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docker tag -f gcr.io/google_containers/zeppelin gcr.io/google_containers/zeppelin:$(ZEPPELIN_TAG)
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push-spark: spark
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gcloud docker push gcr.io/google_containers/spark-base
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gcloud docker push gcr.io/google_containers/spark-base:$(TAG)
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gcloud docker push gcr.io/google_containers/spark-worker
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@ -26,4 +38,8 @@ push: containers
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gcloud docker push gcr.io/google_containers/spark-driver
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gcloud docker push gcr.io/google_containers/spark-driver:$(TAG)
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push-zeppelin: zeppelin
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gcloud docker push gcr.io/google_containers/zeppelin
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gcloud docker push gcr.io/google_containers/zeppelin:$(ZEPPELIN_TAG)
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clean:
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@ -1,4 +1,4 @@
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FROM java:latest
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FROM java:openjdk-8-jdk
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ENV hadoop_ver 2.6.1
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ENV spark_ver 1.5.1
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66
examples/spark/images/zeppelin/Dockerfile
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66
examples/spark/images/zeppelin/Dockerfile
Normal file
@ -0,0 +1,66 @@
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# Copyright 2015 The Kubernetes Authors All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Based heavily on
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# https://github.com/dylanmei/docker-zeppelin/blob/master/Dockerfile
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# (which is similar to many others out there), but rebased onto maven
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# image.
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#
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# This image is a composition of the official docker-maven
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# Docker image from https://github.com/carlossg/docker-maven/ and
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# spark-base.
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FROM gcr.io/google_containers/spark-base:latest
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ENV ZEPPELIN_TAG v0.5.5
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ENV MAVEN_VERSION 3.3.3
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ENV SPARK_MINOR 1.5
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ENV SPARK_PATCH 1
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ENV SPARK_VER ${SPARK_MINOR}.${SPARK_PATCH}
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ENV HADOOP_MINOR 2.6
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ENV HADOOP_PATCH 1
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ENV HADOOP_VER ${HADOOP_MINOR}.${HADOOP_PATCH}
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RUN curl -fsSL http://archive.apache.org/dist/maven/maven-3/${MAVEN_VERSION}/binaries/apache-maven-${MAVEN_VERSION}-bin.tar.gz | tar xzf - -C /usr/share \
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&& mv /usr/share/apache-maven-${MAVEN_VERSION} /usr/share/maven \
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&& ln -s /usr/share/maven/bin/mvn /usr/bin/mvn
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ENV MAVEN_HOME /usr/share/maven
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# libfontconfig is a workaround for
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# https://github.com/karma-runner/karma/issues/1270, which caused a
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# build break similar to
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# https://www.mail-archive.com/users@zeppelin.incubator.apache.org/msg01586.html
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RUN apt-get update \
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&& apt-get install -y net-tools build-essential git wget unzip python python-setuptools python-dev python-numpy libfontconfig \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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RUN git clone https://github.com/apache/incubator-zeppelin.git --branch ${ZEPPELIN_TAG} /opt/zeppelin
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RUN cd /opt/zeppelin && \
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mvn clean package \
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-Pspark-${SPARK_MINOR} -Dspark.version=${SPARK_VER} \
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-Phadoop-${HADOOP_MINOR} -Dhadoop.version=${HADOOP_VER} \
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-Ppyspark \
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-DskipTests && \
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rm -rf /root/.m2 && \
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rm -rf /root/.npm && \
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echo "Successfully built Zeppelin"
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ADD zeppelin-log4j.properties /opt/zeppelin/conf/log4j.properties
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ADD zeppelin-env.sh /opt/zeppelin/conf/zeppelin-env.sh
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ADD docker-zeppelin.sh /opt/zeppelin/bin/docker-zeppelin.sh
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EXPOSE 8080
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ENTRYPOINT ["/opt/zeppelin/bin/docker-zeppelin.sh"]
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21
examples/spark/images/zeppelin/docker-zeppelin.sh
Executable file
21
examples/spark/images/zeppelin/docker-zeppelin.sh
Executable file
@ -0,0 +1,21 @@
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#!/bin/bash
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# Copyright 2015 The Kubernetes Authors All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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export ZEPPELIN_HOME=/opt/zeppelin
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export ZEPPELIN_CONF_DIR="${ZEPPELIN_HOME}/conf"
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echo "=== Launching Zeppelin under Docker ==="
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/opt/zeppelin/bin/zeppelin.sh "${ZEPPELIN_CONF_DIR}"
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26
examples/spark/images/zeppelin/zeppelin-env.sh
Normal file
26
examples/spark/images/zeppelin/zeppelin-env.sh
Normal file
@ -0,0 +1,26 @@
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#!/bin/bash
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# Copyright 2015 The Kubernetes Authors All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
|
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
|
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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export MASTER="spark://spark-master:7077"
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export SPARK_HOME=/opt/spark
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export ZEPPELIN_JAVA_OPTS="-Dspark.jars=/opt/spark/lib/gcs-connector-latest-hadoop2.jar"
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# TODO(zmerlynn): Setting global CLASSPATH *should* be unnecessary,
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# but ZEPPELIN_JAVA_OPTS isn't enough here. :(
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export CLASSPATH="/opt/spark/lib/gcs-connector-latest-hadoop2.jar"
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export ZEPPELIN_NOTEBOOK_DIR="${ZEPPELIN_HOME}/notebook"
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export ZEPPELIN_MEM=-Xmx1024m
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export ZEPPELIN_PORT=8080
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export PYTHONPATH="${SPARK_HOME}/python:${SPARK_HOME}/python/lib/py4j-0.8.2.1-src.zip"
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6
examples/spark/images/zeppelin/zeppelin-log4j.properties
Normal file
6
examples/spark/images/zeppelin/zeppelin-log4j.properties
Normal file
@ -0,0 +1,6 @@
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# Set everything to be logged to the console.
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log4j.rootCategory=INFO, console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%5p [%d] ({%t} %F[%M]:%L) - %m%n
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@ -1,19 +1,21 @@
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kind: ReplicationController
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apiVersion: v1
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metadata:
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name: spark-driver-controller
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name: zeppelin-controller
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spec:
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replicas: 1
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selector:
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component: spark-driver
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component: zeppelin
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template:
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metadata:
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labels:
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component: spark-driver
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component: zeppelin
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spec:
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containers:
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- name: spark-driver
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image: gcr.io/google_containers/spark-driver:1.5.1_v2
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- name: zeppelin
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image: gcr.io/google_containers/zeppelin:v0.5.5_v1
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ports:
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- containerPort: 8080
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resources:
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requests:
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cpu: 100m
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10
examples/spark/zeppelin-service.yaml
Normal file
10
examples/spark/zeppelin-service.yaml
Normal file
@ -0,0 +1,10 @@
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kind: Service
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apiVersion: v1
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metadata:
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name: zeppelin
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spec:
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ports:
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- port: 8080
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targetPort: 8080
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selector:
|
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component: zeppelin
|
||||
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