Checkpoints
Create a Cloud BigTable instance
/ 40
Create a table
/ 30
Delete the table
/ 30
Bigtable: Qwik Start - Command Line
GSP099
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
In this lab you'll learn how to use the cbt
command line to connect to a Cloud Bigtable instance, perform basic administrative tasks, and read and write data in a table.
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.
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
- Time to complete the lab---remember, once you start, you cannot pause a 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 the Lab Details panel with the following:
- The Open Google Cloud console button
- Time remaining
- The temporary credentials that you must use for this lab
- Other information, if needed, to step through this lab
-
Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).
The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Arrange the tabs in separate windows, side-by-side.
Note: If you see the Choose an account dialog, click Use Another Account. -
If necessary, copy the Username below and paste it into the Sign in dialog.
{{{user_0.username | "Username"}}} You can also find the Username in the Lab Details panel.
-
Click Next.
-
Copy the Password below and paste it into the Welcome dialog.
{{{user_0.password | "Password"}}} You can also find the Password in the Lab Details panel.
-
Click Next.
Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials. Note: Using your own Google Cloud account for this lab may incur extra 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 Google 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.
- Click Activate Cloud Shell at the top of the Google Cloud console.
When you are connected, you are already authenticated, and the project is set to your Project_ID,
gcloud
is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
- (Optional) You can list the active account name with this command:
- Click Authorize.
Output:
- (Optional) You can list the project ID with this command:
Output:
gcloud
, in Google Cloud, refer to the gcloud CLI overview guide.
Task 1. Create a Cloud Bigtable instance
-
In the Cloud Console, go to Navigation menu (), click on Bigtable in the Databases section, then click Create instance.
-
Fill in the fields for your instance as follows:
Field | Value |
---|---|
Instance name | quickstart-instance |
Instance ID | quickstart-instance |
Storage type | SSD |
Cluster ID | quickstart-instance-c1 |
Region | |
Zone |
- Click Create to create the instance.
Task 2. Connect to your instance
- In Cloud Shell, configure
cbt
to use your project and instance by modifying the.cbtrc
file:
Now you're ready to use the cbt
command.
Click Check my progress to verify the objective.
Task 3. Read and write data
Cloud Bigtable stores data in tables, which contain rows. Each row is identified by a row key.
Data in a row is organized into column families, or groups of columns. A column qualifier identifies a single column within a column family.
A cell is the intersection of a row and a column. Each cell can contain multiple versions of a value.
- Create a table named
my-table
:
- List your tables:
The command displays output similar to the following:
- Add one column family named
cf1
:
- List your column families:
The command displays output similar to the following:
Click Check my progress to verify the objective.
- Put the value
test-value
in the rowr1
, using the column familycf1
and the column qualifierc1
:
- Use the
cbt read
command to read the data you added to the table:
The shell displays output similar to the following:
- Delete the table
my-table
:
Click Check my progress to verify the objective.
You have now used the cbt
command line to access Bigtable.
Congratulations!
Next steps / learn more
This lab is 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: October 10, 2023
Lab Last Tested: October 10, 2023
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