—/100
Checkpoints
Create a Dataproc cluster
/ 50
Submit a job
/ 30
Update a cluster
/ 20
Student Resources
Dataproc: Qwik Start - Console
GSP103
Overview
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead. Create Cloud Dataproc clusters quickly and resize them at any time, so you don't have to worry about your data pipelines outgrowing your clusters.
This lab shows you how to use the Google Cloud 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.
Setup and Requirements
Before you click the Start Lab button
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you.
This Qwiklabs hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab.
What you need
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
- Time to complete the lab.
Note: If you already have your own personal Google Cloud account or project, do not use it for this lab.
Note: If you are using a Pixelbook, open an Incognito window to run this lab.
How to start your lab and sign in to the Google Cloud Console
-
Click the Start Lab button. If you need to pay for the lab, a pop-up opens for you to select your payment method. On the left is a panel populated with the temporary credentials that you must use for this lab.
-
Copy the username, and then click Open Google Console. The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Open the tabs in separate windows, side-by-side.
-
In the Sign in page, paste the username that you copied from the Connection Details panel. Then copy and paste the password.
Important: You must use the credentials from the Connection Details panel. Do not use your Qwiklabs credentials. If you have your own Google Cloud account, do not use it for this lab (avoids incurring charges).
-
Click through the subsequent pages:
- Accept the terms and conditions.
- Do not add recovery options or two-factor authentication (because this is a temporary account).
- Do not sign up for free trials.
After a few moments, the Cloud Console opens in this tab.
Check project permissions
Before you begin your work on Google Cloud, you need to ensure that your project has the correct permissions within Identity and Access Management (IAM).
-
In the Google Cloud console, on the Navigation menu (), click IAM & Admin > IAM.
-
Confirm that the default compute Service Account
{project-number}[email protected]
is present and has theeditor
role assigned. The account prefix is the project number, which you can find on Navigation menu > Home.
If the account is not present in IAM or does not have the editor
role, follow the steps below to assign the required role.
-
In the Google Cloud console, on the Navigation menu, click Home.
-
Copy the project number (e.g.
729328892908
). -
On the Navigation menu, click IAM & Admin > IAM.
-
At the top of the IAM page, click Add.
-
For New members, type:
{project-number}[email protected]
Replace {project-number}
with your project number.
- For Role, select Project (or Basic) > Editor. Click Save.
Confirm Cloud Dataproc API is enabled
To create a Dataproc cluster in Google Cloud, the Cloud Dataproc API must be enabled. To confirm the API is enabled:
Click Navigation menu > APIs & Services > Library:
Type Cloud Dataproc in the Search for APIs & Services dialog. The console will display the Cloud Dataproc API in the search results.
Click on Cloud Dataproc API to display the status of the API. If the API is not already enabled, click the Enable button.
If the API's enabled, you're good to go:
Create a cluster
In the Cloud Platform Console, select Navigation menu > Dataproc > Clusters, then click Create cluster.
Set the following fields for your cluster. Accept the default values for all other fields.
Field | Value |
---|---|
Name | example-cluster |
Region | global |
Zone | us-central1-a |
Click Create to create the cluster.
Your new cluster will appear in the Clusters list. It may take a few minutes to create, the cluster Status shows as Provisioning until the cluster is ready to use, then changes to Running.
Test Completed Task
Click Check my progress to verify your performed task.
Submit a job
To run a sample Spark job:
Click Jobs in the left pane to switch to Dataproc's jobs view, then click Submit job:
Set the following fields to update Job. Accept the default values for all other fields.
Field | Value |
---|---|
Cluster | example-cluster |
Job type | Spark |
Main class or jar | org.apache.spark.examples.SparkPi |
Arguments | 1000 (This sets the number of tasks.) |
Jar file | file:///usr/lib/spark/examples/jars/spark-examples.jar |
Click Submit.
Your job should appear in the Jobs list, which shows your project's jobs with its cluster, type, and current status. Job status displays as Running, and then Succeeded after it completes.
Test Completed Task
Click Check my progress to verify your performed task.
View the job output
To see your completed job's output:
Click the job ID in the Jobs list.
Check Line wrapping or scroll all the way to the right to see the calculated value of Pi. Your output, with Line wrapping checked, should look something like this:
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 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.
- Enter 4 in the Worker nodes field.
- Click Save.
Your cluster is now updated. Check out the number of VM instances in the cluster:
Test Completed Task
Click Check my progress to verify your performed task.
To rerun the job with the updated cluster, you would click Jobs in the left pane, then click SUBMIT JOB.
Set the same fields you set in the Submit a job section:
Field | Value |
---|---|
Cluster | example-cluster |
Job type | Spark |
Main class or jar | org.apache.spark.examples.SparkPi |
Arguments | 1000 (This sets the number of tasks.) |
Jar file | file:///usr/lib/spark/examples/jars/spark-examples.jar |
Click Submit.
Test your Understanding
Below are multiple-choice questions to reinforce your understanding of this lab's concepts. Answer them to the best of your abilities.
Congratulations!
Now you know how to use the Cloud Console to create and update a Dataproc cluster and then submit a job in that cluster.
Finish Your Quest
Continue your Quest with Baseline: Data, ML, AI or Data Engineering. A Quest is a series of related labs that form a learning path. Completing this Quest earns you the badge above, to recognize your achievement. You can make your badge (or badges) public and link to them in your online resume or social media account. Enroll in a Quest and get immediate completion credit if you've taken this lab. See other available Qwiklabs Quests.
Next Steps / Learn More
This lab is also part of a series of labs called Qwik Starts. These labs are designed to give you a little taste of the many features available with Google Cloud. Search for "Qwik Starts" in the lab catalog to find the next lab you'd like to take!
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Manual Last Updated January 12, 2021
Lab Last Tested January 12, 2021
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