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.

Open the lab notebook in Vertex AI Workbench

Open Vertex AI Workbench from the console, and access the pre-created instance from the workbench.

STEPS:

1. In the Google Cloud console, enter Vertex AI in the top search bar.
2. Under Categories > Choose Artificial Intellgence , Select Vertex AI, or else you can go to Vertex AI Dashboard
3. If the Vertex AI APIs are not enabled, click Enable All Recommended APIs.
4. In the left panel, click the Workbench section and open the INSTANCES tab.
5. Select the Create New button. Name the Notebook my-notebook, choose the region. You may choose any zone for this region.
6. Click Machine type from the list on the left, select E2 standard and e2-standard-2 from Advanced options for the Machine type.
7. When the instance is ready, click the Open JupyterLab link.

Task 1. Generating Primary Keys for Spanner Tables

1. Open a new Terminal window from the Launcher or from File>New>Terminal, and run

   git clone https://github.com/GoogleCloudPlatform/training-data-analyst

2. In the notebook interface, navigate to the home directory and open training-data-analyst/courses/understanding_spanner/colab-notebooks/Spanner_Generating_PK_Values.ipynb

3. 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.

Conclusion:

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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