SCBL003

Overview

In this lab, you examine and run the Python code for generating Spanner primary keys in various formats.

Objectives

In this lab, you learn how to:

• Generate Spanner primary keys as UUIDs.
• Convert counters and timestamps into values appropriate for Spanner primary keys.

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.

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.

1. 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. The output contains a line that declares the PROJECT_ID for this session:

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

2. (Optional) You can list the active account name with this command:

3. Click Authorize.

4. Your output should now look like this:

Output:

4. (Optional) You can list the project ID with this command:

Output:

Example output:

Task 1. Generating Primary Keys for Spanner Tables

Create Dataflow Workbench Instance

1. Using the Navigation menu in the Google Cloud console, select Dataflow > Workbench from the Analytics section.

Tip: You can also search for Dataflow Workbench using the Search box in the Console toolbar.

2. If the Enable Notebooks API link appears, click the link to activate the API.

3. From the Workbench page, click the Create New button.

   Name the Notebook my-notebook, choose the region. You may choose any zone for this region.

4. Click Machine type from the list on the left, select E2 standard and e2-standard-2 for the Machine type.

5. Leave the remaining fields at their default and click Create.

6. When the instance is ready, click the Open Jupyter link. This opens Jupyter in another browser tab.

   On the Launcher tab that is open, scroll down (if necessary) and click Terminal.
   
   
   Run the following command to clone the Git repository that contains the files needed for this lab:

Open Jupyter Notebook

1. In the file explorer on the left, navigate to training-data-analyst/courses/understanding_spanner/colab-notebooks/Spanner_Generating_PK_Values.ipynb and open that file.

2. This is a Jupyter Notebook with the code for generating primary keys in various formats using Python. Read the text and run the code in each code cell. To run the code in a cell, select it and click the run button from the toolbar.

Congratulations! You have examined and run the Python code for generating Spanner primary keys in various formats.

End your lab

When you have completed your lab, click End Lab. Your account and the resources you've used are removed from the lab platform.

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