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Dataproc: Qwik Start - Command Line

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Dataproc: Qwik Start - Command Line

30 minutes 1 Credit

GSP104

Google Cloud Self-Paced Labs

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 gcloud on the Google Cloud 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 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 Chrome OS device, open an Incognito window to run this lab.

How to start your lab and sign in to the Google Cloud Console

  1. 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.

    Open Google Console

  2. 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.

    Sign in

    Tip: Open the tabs in separate windows, side-by-side.

  3. In the Sign in page, paste the username that you copied from the left panel. Then copy and paste the password.

    Important: You must use the credentials from the left panel. Do not use your Google Cloud Training credentials. If you have your own Google Cloud account, do not use it for this lab (avoids incurring charges).

  4. 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.

Activate Cloud Shell

Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.

In the Cloud Console, in the top right toolbar, click the Activate Cloud Shell button.

Cloud Shell icon

Click Continue.

cloudshell_continue.png

It takes a few moments to provision and connect to the environment. When you are connected, you are already authenticated, and the project is set to your PROJECT_ID. For example:

Cloud Shell Terminal

gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.

You can list the active account name with this command:

gcloud auth list

(Output)

ACTIVE: * ACCOUNT: student-01-xxxxxxxxxxxx@qwiklabs.net To set the active account, run: $ gcloud config set account `ACCOUNT`

You can list the project ID with this command:

gcloud config list project

(Output)

[core] project = <project_ID>

(Example output)

[core] project = qwiklabs-gcp-44776a13dea667a6

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).

  1. In the Google Cloud console, on the Navigation menu (nav-menu.png), click IAM & Admin > IAM.

  2. Confirm that the default compute Service Account {project-number}-compute@developer.gserviceaccount.com is present and has the editor role assigned. The account prefix is the project number, which you can find on Navigation menu > Home.

check-sa.png

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 principals, type:

{project-number}-compute@developer.gserviceaccount.com

Replace {project-number} with your project number.

  • For Role, select Project (or Basic) > Editor. Click Save.

add-sa.png

Create a cluster

In Cloud Shell, run the following command to set the Region:

gcloud config set dataproc/region us-central1

Run the following command to create a cluster called example-cluster with default Cloud Dataproc settings:

gcloud dataproc clusters create example-cluster --worker-boot-disk-size 500

If asked to confirm a zone for you cluster. Enter Y.

Your cluster will build for a couple of minutes.

Waiting for cluster creation operation...done. Created [... example-cluster]

When you see a "Created" message, you're ready to move on.

Test Completed Task

Click Check my progress to verify your performed task. If you have successfully created a Dataproc cluster, you will see an assessment score.

Create a Dataproc cluster

Submit a job

Run this command to submit a sample Spark job that calculates a rough value for pi:

gcloud dataproc jobs submit spark --cluster example-cluster \ --class org.apache.spark.examples.SparkPi \ --jars file:///usr/lib/spark/examples/jars/spark-examples.jar -- 1000

The command specifies:

  • That you want to run a spark job on the example-cluster cluster
  • The class containing the main method for the job's pi-calculating application
  • The location of the jar file containing your job's code
  • The parameters you want to pass to the job—in this case, the number of tasks, which is 1000

Parameters passed to the job must follow a double dash (--). See the gcloud documentation for more information.

The job's running and final output is displayed in the terminal window:

Waiting for job output... ... Pi is roughly 3.14118528 ... state: FINISHED

Test Completed Task

Click Check my progress to verify your performed task. If you have successfully submitted a job, you will see an assessment score.

Submit a job

Update a cluster

To change the number of workers in the cluster to four, run the following command:

gcloud dataproc clusters update example-cluster --num-workers 4

Your cluster's updated details are displayed in the command's output:

Waiting on operation [projects/qwiklabs-gcp-7f7aa0829e65200f/regions/global/operations/b86892cc-e71d-4e7b-aa5e-6030c945ea67]. Waiting for cluster update operation...done.

You can use the same command to decrease the number of worker nodes:

gcloud dataproc clusters update example-cluster --num-workers 2

Now you can create a Dataproc cluster and adjust the number of workers from the gcloud command line on the Google Cloud.

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!

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Finish Your Quest

Continue your Quest with Baseline: Data, ML, AI. 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 this 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 March 01, 2021
Lab Last Tested March 01, 2021

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