Merge pull request #5 from Azure/readme-update

Update README.md

README.md

@@ -24,17 +24,26 @@ A suite of distributed tools to help engineers scale their work into Azure.
 
 The entire experience of this package is centered around a few commands in the bin folder.
 
+### Create and setup your cluster
+
 First, create your cluster:
 ```
 ./bin/spark-cluster-create \
     --id <my-cluster-id> \
     --size <number of nodes> \
-    --size-low-pri <number of low priority nodes> \
     --vm-size <vm-size> \
-    --custom-script <path to custom bash script to run on each node> \
+    --custom-script <path to custom bash script to run on each node> (optional) \
     --wait/--no-wait (optional)
 ```
 
+You can also create your cluster with [low-priority](https://docs.microsoft.com/en-us/azure/batch/batch-low-pri-vms) VMs at an 80% discount by using **--size-low-pri** instead of **--size**:
+```
+./bin/spark-cluster-create \
+    --id <my-cluster-id> \
+    --size-low-pri <number of low-pri nodes>
+    --vm-size <vm-size>
+```
+
 When your cluster is ready, create a user for your cluster:
 ```
 ./bin/spark-cluster-create-user \
@@ -43,6 +52,8 @@ When your cluster is ready, create a user for your cluster:
     --password <password>
 ```
 
+### Submit a Spark job
+
 Now you can submit jobs to run against the cluster:
 ```
 ./bin/spark-submit \
@@ -52,6 +63,8 @@ Now you can submit jobs to run against the cluster:
     --application <path-to-spark-job>
 ```
 
+### Interact with your Spark cluster
+
 To view the spark UI, open up an ssh tunnel with the "masterui" option and a local port to map to:
 ```
 ./bin/spark-cluster-ssh \ 
@@ -66,6 +79,8 @@ Optionally, you can also open up a jupyter notebook with the "jupyter" option to
     --jupyter <local-port>
 ```
 
+### Manage your Spark cluster
+
 You can also see your clusters from the CLI:
 ```
 ./bin/spark-cluster-list
@@ -73,10 +88,10 @@ You can also see your clusters from the CLI:
 
 And get the state of any specified cluster:
 ```
-./bin/spark-cluster-get <my-cluster-id>
+./bin/spark-cluster-get --id <my-cluster-id>
 ```
 
 Finally, you can delete any specified cluster:
 ```
-./bin/spark-cluster-delete <my-cluster-id>
+./bin/spark-cluster-delete --id <my-cluster-id>
 ```