If you're learning about Cloud Bigtable, you can work through a quickstart to get a taste of the fundamentals that you would use at scale in a production environment.
This quickstart uses the cbt command-line tool. If you prefer to use the
HBase shell, follow the quickstart using the HBase shell
instead.
In this quickstart, you perform the following actions:
- Connect to a Cloud Bigtable instance.
- Perform basic administrative tasks.
- Write data to a table.
- Read data from a table.
You can do this quickstart using the Cloud Shell or in your local terminal window.
Before you begin
- Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
-
In the Google Cloud Console, on the project selector page, select or create a Google Cloud project.
-
Make sure that billing is enabled for your Cloud project. Learn how to check if billing is enabled on a project.
- Enable the Cloud Bigtable, Cloud Bigtable Admin APIs.
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Create a service account:
-
In the Cloud Console, go to the Create service account page.
Go to Create service account - Select your project.
-
In the Service account name field, enter a name. The Cloud Console fills in the Service account ID field based on this name.
In the Service account description field, enter a description. For example,
Service account for quickstart. - Click Create and continue.
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To provide access to your project, grant the following role(s) to your service account: Bigtable Administrator .
Click the Select a role field, then select the first (or only) role.
For additional roles, click Add another role and add each additional role.
- Click Continue.
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Click Done to finish creating the service account.
Do not close your browser window. You will use it in the next step.
-
-
Create a service account key:
- In the Cloud Console, click the email address for the service account that you created.
- Click Keys.
- Click Add key, then click Create new key.
- Click Create. A JSON key file is downloaded to your computer.
- Click Close.
- Install and initialize the Google Cloud CLI.
-
In the Google Cloud Console, on the project selector page, select or create a Google Cloud project.
-
Make sure that billing is enabled for your Cloud project. Learn how to check if billing is enabled on a project.
- Enable the Cloud Bigtable, Cloud Bigtable Admin APIs.
-
Create a service account:
-
In the Cloud Console, go to the Create service account page.
Go to Create service account - Select your project.
-
In the Service account name field, enter a name. The Cloud Console fills in the Service account ID field based on this name.
In the Service account description field, enter a description. For example,
Service account for quickstart. - Click Create and continue.
-
To provide access to your project, grant the following role(s) to your service account: Bigtable Administrator .
Click the Select a role field, then select the first (or only) role.
For additional roles, click Add another role and add each additional role.
- Click Continue.
-
Click Done to finish creating the service account.
Do not close your browser window. You will use it in the next step.
-
-
Create a service account key:
- In the Cloud Console, click the email address for the service account that you created.
- Click Keys.
- Click Add key, then click Create new key.
- Click Create. A JSON key file is downloaded to your computer.
- Click Close.
- Install and initialize the Google Cloud CLI.
Create a Bigtable instance
Open the Create instance page in the Google Cloud Console.
For Instance name, enter
Quickstart instance.For Instance ID, enter
quickstart-instance.For Storage type, select SSD.
For Cluster ID, enter
quickstart-instance-c1.For Region, select a region near you.
For Zone, select a zone in the region you selected.
Click Create to create the instance.
Connect to your instance
Configure
cbtto use your project and instance by creating a.cbtrcfile, replacing project-id with the ID for the project where you created your Bigtable instance:echo project = project-id > ~/.cbtrcecho instance = quickstart-instance >> ~/.cbtrcVerify that you set up the
.cbtrcfile correctly:cat ~/.cbtrcThe terminal displays the contents of the
.cbtrcfile, which looks similar to the following:project = project-id instance = quickstart-instance
Now you can use the
cbttool with your instance.
Read and write data
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, which are groups of columns. A column qualifier identifies a single column within a column family.
There can be multiple time-stamped versions of the value at the intersection of a row and column. Each version is referred to as a cell.
Create a table named
my-table.cbt createtable my-tableList your tables:
cbt lsThe command displays output similar to the following:
my-tableAdd one column family named
cf1:cbt createfamily my-table cf1List your column families:
cbt ls my-tableThe command displays output similar to the following:
Family Name GC Policy ----------- --------- cf1 <never>Put the value
test-valuein the rowr1, using the column familycf1and the column qualifierc1:cbt set my-table r1 cf1:c1=test-valueUse the
cbt readcommand to read the data you added to the table:cbt read my-tableThe shell displays output similar to the following:
---------------------------------------- r1 cf1:c1 @ 2019/11/26-15:05:38.840000 "test-value"A timestamp is added automatically because you did not specify one.
Clean up
To avoid incurring charges to your Google Cloud account for the resources
used in this quickstart, delete the instance. Deleting the .cbtrc file leaves
you ready to work on a different project.
Delete the table
my-table:cbt deletetable my-tableDelete the instance:
cbt deleteinstance quickstart-instanceDelete the
.cbtrcfile:rm ~/.cbtrc
What's next
- Work through a Bigtable codelab.
- View the
cbttool reference documentation. - Write a Hello World application in C#, C++, Go, Java, Node.js, PHP, Python, Ruby, or using the HBase client for Java.