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```console
kubectl exec spark-master-controller-<ID> -i -t -- bash -i
root@spark-master-controller-c1sqd:/# . /setup_client.sh <Service IP> 7077
root@spark-master-controller-c1sqd:/# pyspark
Python 2.7.9 (default, Mar 1 2015, 12:57:24)
[GCC 4.9.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
15/06/26 14:25:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 1.4.0
/_/
Using Python version 2.7.9 (default, Mar 1 2015 12:57:24)
SparkContext available as sc, HiveContext available as sqlContext.
>>> file = sc.textFile("/mnt/glusterfs/somefile.txt")
>>> counts = file.flatMap(lambda line: line.split(" ")).map(lambda word: (word, 1)).reduceByKey(lambda a, b: a + b)
>>> counts.saveAsTextFile("/mnt/glusterfs/output")
```
While still in the container, you can see the output of your Spark Job in the Distributed File System by running the following:
```console
root@spark-master-controller-c1sqd:/# ls -l /mnt/glusterfs/output
```
<|endoftext|>
# source: k8s_examples/_archived/spark/spark-gluster/spark-master-service.yaml type: yaml
kind: Service
apiVersion: v1
metadata:
name: spark-master
namespace: spark-cluster
labels:
component: spark-master-service
spec:
ports:
- port: 7077
targetPort: 7077
selector:
component: spark-master
<|endoftext|>
# source: k8s_examples/_archived/meteor/meteor-service.json type: json
{
"kind": "Service",
"apiVersion": "v1",
"metadata": {
"name": "meteor"
},
"spec": {
"ports": [
{
"port": 80,
"targetPort": "http-server"
}
],
"selector": {
"name": "meteor"
},
"sessionAffinity": "ClientIP",
"sessionAffinityConfig": {
"clientIP": {
"timeoutSeconds": 90
}
},
"type": "LoadBalancer"
}
}
<|endoftext|>
# source: k8s_examples/_archived/meteor/mongo-service.json type: json
{
"kind": "Service",
"apiVersion": "v1",
"metadata": {
"name": "mongo",
"labels": {
"name": "mongo"
}
},
"spec": {
"ports": [
{
"port": 27017,
"targetPort": "mongo"
}
],
"selector": {
"name": "mongo",
"role": "mongo"
}
}
}
<|endoftext|>
# source: k8s_examples/_archived/meteor/mongo-pod.json type: json