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Cloud Spanner - Defining Schemas and Understanding Query Plans

Google via Google Cloud Skills Boost

Overview

In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.

Syllabus

  • GSP1050
  • Overview
  • Objectives
  • Setup and requirements
  • Task 1. Load data into tables
  • Task 2. Use pre-built Python client library code to load data
  • Task 3. Query data with client libraries
  • Task 4. Updating the database schema
  • Task 5. Add a Secondary Index
  • Task 6. Examine Query plans
  • Congratulations!

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