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examples/spark/README.md

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@@ -38,23 +38,25 @@ Following this example, you will create a functional [Apache
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Spark](http://spark.apache.org/) cluster using Kubernetes and
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[Docker](http://docker.io).
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You will setup a Spark master service and a set of
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Spark workers using Spark's [standalone mode](http://spark.apache.org/docs/latest/spark-standalone.html).
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You will setup a Spark master service and a set of Spark workers using Spark's [standalone mode](http://spark.apache.org/docs/latest/spark-standalone.html).
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For the impatient expert, jump straight to the [tl;dr](#tldr)
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section.
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### Sources
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The Docker images are heavily based on https://github.com/mattf/docker-spark
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The Docker images are heavily based on https://github.com/mattf/docker-spark.
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And are curated in https://github.com/kubernetes/application-images/tree/master/spark
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## Step Zero: Prerequisites
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This example assumes you have a Kubernetes cluster installed and
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running, and that you have installed the ```kubectl``` command line
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tool somewhere in your path. Please see the [getting
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started](../../docs/getting-started-guides/) for installation
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instructions for your platform.
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This example assumes
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- You have a Kubernetes cluster installed and running.
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- That you have installed the ```kubectl``` command line tool somewhere in your path.
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- That a spark-master service which spins up will be automatically discoverable by your kube DNS impl, as 'spark-master'
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For details, you can look at the Dockerfiles in the Sources section.
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## Step One: Start your Master service
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### Check to see if Zeppelin is running
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```console
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$ kubectl get pods -lcomponent=zeppelin
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$ kubectl get pods -l component=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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