
Before you begin
- Labs create a Google Cloud project and resources for a fixed time
- Labs have a time limit and no pause feature. If you end the lab, you'll have to restart from the beginning.
- On the top left of your screen, click Start lab to begin
Create a Cloud Storage bucket
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Add objects to bucket
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Create a Datastore entity
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Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. You can use Cloud Storage for a range of scenarios including serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
In this lab, you configure an application to use Cloud Storage to store and retrieve application data. The application is an online Quiz, the data is the form data, including an image you upload from your local machine.
In this lab, you learn how to perform the following tasks:
For each lab, you get a new Google Cloud project and set of resources for a fixed time at no cost.
Sign in to Qwiklabs using an incognito window.
Note the lab's access time (for example, 1:15:00
), and make sure you can finish within that time.
There is no pause feature. You can restart if needed, but you have to start at the beginning.
When ready, click Start lab.
Note your lab credentials (Username and Password). You will use them to sign in to the Google Cloud Console.
Click Open Google Console.
Click Use another account and copy/paste credentials for this lab into the prompts.
If you use other credentials, you'll receive errors or incur charges.
Accept the terms and skip the recovery resource page.
Google 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.
Google Cloud Shell provides command-line access to your Google Cloud resources.
In Cloud console, on the top right toolbar, click the Open Cloud Shell button.
Click Continue.
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:
gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
Output:
Example output:
Output:
Example output:
In this section, you access Cloud Shell, clone the git repository containing the Quiz application, and run the application.
Change to the directory that contains the sample files for this lab:
Configure the application:
This script file:
GCLOUD_PROJECT
mvn clean install
When the application has been configured, you'll see output similar to the following:
To run the application, execute the following command:
To view the application, click Web preview > Preview on port 8080.
The Quite Interesting Quiz opens.
Click Create Question in the toolbar.
You should see a simple form that contains textboxes for the question and answers and radio buttons to select the correct answer.
The form has a new file upload field that is used to upload an image or video file. In this lab you upload an image file. You would use the same process to upload a video file.
In this section, you use the Cloud Shell text editor to review the Quiz application code.
From Cloud Shell, click Open Editor icon to launch the code editor.
Navigate to /cloudstorage/start
folder using the file browser panel on the left side of the editor.
Select new_question.html
file in the .../src/main/resources/templates
folder.
This file contains the Thyme template for the Create Question form.
Notice how the form uses multipart/form-data
as the enctype
, and the two form controls for images and videos:
image
imageUrl
Select the .../src/main/java/com/google/training/appdev
folder.
Java file paths are relative to this folder.
Select .../web/QuestionsController.java
.
In this file the POST handler invokes a method on an image service.
Select the .../services/gcp/cloudstorage/ImageService.java
file.
This is the file where you write code to save image file data into Cloud Storage.
In this section, you create a Cloud Storage bucket and export an environment variable that references it.
Return to Cloud Shell and stop the application by pressing Ctrl+C.
To create a Cloud Storage bucket named <Project ID>-media
, execute the following command:
gcloud storage buckets create
command, passing through the name of the bucket as gs://BUCKET_NAME
You can use $DEVSHELL_PROJECT_ID
as the bucket name prefix followed by -media
.
Click Check my progress to verify the objective.
To export the Cloud Storage bucket name as an environment variable named GCLOUD_BUCKET
, execute the following command:
Recall that the application makes use of environment variables for configuration. This allows the development team to deploy the application into development, test, staging, and production just by changing these variables.
In this section, you write code to save uploaded files into Cloud Storage.
// TODO
and // END TODO
.
To maximize your learning, review the code, inline comments, and related APIs & reference documentation.
In the code editor, move to the top of the .../services/gcp/cloudstorage/ImageService.java
file.
Write a star import for the com.google.cloud.storage.*
package:
Construct a Cloud Storage client named storage
using the StorageOptions
class:
Declare a String named bucketName,
and annotate it with a Spring value annotation to retrieve the value from a property named google.storage.bucket
:
Still updating ImageService.java
, move to the saveImage(MultipartFile file)
handler and then use the Cloud Storage client to upload a file to your Cloud Storage bucket and make it publicly available.
Declare a BlobInfo
object and initialize it using the storage client object. Customize the BlobInfo
object using its Builder
. Use the option to set the Content Type and to set the ACL to allow unauthenticated Read access:
Return the public URL for the new Cloud Storage object as a string:
Save .../services/gcp/cloudstorage/ImageService.java
and then return to the Cloud Shell.
Start the application by typing:
Download an image file to your local machine from here.
In Cloud Shell, click Web preview > Preview on port 8080 to preview the Quiz application.
Click the Create Question link.
Complete the form with the following values, and then click Save:
Field | Value |
---|---|
Author | Your name |
Quiz | Google Cloud Platform |
Title | Which product does this logo relate to? |
Image | Upload the Google_Cloud_Storage_logo.png file you previously downloaded |
Answer 1 | App Engine |
Answer 2 | Cloud Storage (and select the Answer 2 radio button to indicate this as the correct answer) |
Answer 3 | Compute Engine |
Answer 4 | Container Engine |
Click Check my progress to verify the objective.
Return to the Cloud Console and navigate to Navigation menu > Cloud Storage.
On the Cloud Storage > Buckets page, click the correct bucket (named <Project ID>-media
).
You should see your new object named #UniqueNumber#Google_Cloud_Storage_logo.png.
Click Check my progress to verify the objective.
Add /api/quizzes/gcp
to the end of the Quiz application's URL.
You should see that the application returns JSON data to the client corresponding to the Question you added in the web application:
The imageUrl
property should have a value corresponding to the new object you created in Cloud Storage.
Return to the application home page and click the Take Test link.
Click GCP, and answer each question.
When you get to the question you just added, you should see the image has been formatted inside the client-side web application!
When you have completed your lab, click End Lab. Google Cloud Skills Boost removes the resources you’ve used and cleans the account for you.
You will be given an opportunity to rate the lab experience. Select the applicable number of stars, type a comment, and then click Submit.
The number of stars indicates the following:
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