This page shows you how to use the Google Cloud Platform Console to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster.
Before you begin
Create a cluster
- Go to the Cloud Platform Console Cloud Dataproc Clusters page.
- Click Create cluster.
example-clusterin the Name field.
- Select a region and zone for the cluster from the Region and Zone
drop-down menus (
us-central1-azone are shown selected, below).
globalregion is the default. This is a special multi-region namespace that is capable of deploying instances into all Google Compute zones globally. You can also specify distinct regions, such as
europe-west1, to isolate resources (including VM instances and Google Cloud Storage) and metadata storage locations utilized by Cloud Dataproc within the user-specified region. See Available regions & zones for information on selecting a region. You can also run the
gcloud compute regions listcommand to see a listing of available regions.
clusterName= "example-cluster". This is the name of the Cloud Dataproc cluster (created in the previous quickstarts—see API Explorer—Create a cluster) that will be deleted. Replace this name with the name of your cluster if it is different.
Use the provided defaults for all the other options.
Click Create to create the cluster.
Your new cluster should appear in the Clusters list. Cluster status is listed as "Provisioning" until the cluster is ready to use, then changes to "Running."
Submit a job
To run a sample Spark job:
- Select Jobs in the left nav to switch to Dataproc's jobs view.
- Click Submit job.
- Select your new cluster example-cluster from the Cluster drop-down menu.
- Select Spark from the Job type drop-down menu.
file:///usr/lib/spark/examples/jars/spark-examples.jarin the Jar file field.
org.apache.spark.examples.SparkPiin the Main class or jar field.
1000in the Arguments field to set the number of tasks.
- Click Submit.
Your job should appear in the Jobs list, which shows your project's jobs with their cluster, type, and current status. Job status displays as "Running," and then "Succeeded" after it completes. To see your completed job's output:
- Click the job ID in the Jobs list.
- Select Line Wrapping to avoid scrolling.
You should see that your job has successfully calculated a rough value for pi!
Update a cluster
To change the number of worker instances in your cluster:
- Select Clusters in the left navigation pane to return to the Cloud Dataproc Clusters view.
- Click example-cluster in the Clusters list. By default, the page displays an overview of your cluster's CPU usage.
- Click Configuration to display your cluster's current settings.
- Click Edit. The number of worker nodes is now editable.
5in the Worker nodes field.
- Click Save.
Your cluster is now updated. You can follow the same procedure to decrease the number of worker nodes to the original value.
To avoid incurring charges to your Google Cloud Platform account for the resources used in this quickstart:
- On the example-cluster Cluster page, click Delete to delete the cluster.
- You are prompted to confirm that you want to delete the cluster. Click OK.