Working with the Table API in Azure Cosmos DB

1 hour
  • 4 Learning Objectives

About this Hands-on Lab

As modern, cloud-based apps have evolved, they’ve required data storage to adapt with them. Services such as Azure Cosmos DB have risen to the challenge by providing a fully-managed, multi-model, globally-distributed NoSQL database.

In this hands-on lab scenario, our organization (Awesome Company) is developing a next-generation video game that will rely heavily on the Cloud. In order to achieve guaranteed performance around the globe, we’ve chosen Azure Cosmos DB as the data backend. Knowing that session metadata is key to troubleshooting client issues, we have previously deployed a database account and a `Sessions` table using the Table API. You will now begin working with the session data.

Performing the actions of this lab will help you become familiar with how to create, modify, delete, and query data using the Table API.

**Note: Because the Azure Cosmos DB account is preprovisioned, it will take significant time for the lab to start up. Please be patient, and make sure to have at least an hour of time for completion of the lab.**

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Insert Sessions

Use Data Explorer within the Azure Cosmos DB account to create entities.

Example:

  • PartitionKey: ipAddress
  • RowKey: gamerTag
  • deviceType: desktop
  • country: USA
Update Sessions

Use Data Explorer within the Azure Cosmos DB account to update session entities. One suggestion would be to change the device type.

Query Sessions

Use Data Explorer within the Azure Cosmos DB account to query the session entities. One suggestion is to search for all the entities from the same country.

Delete Sessions

Use Data Explorer within the Azure Cosmos DB account to delete session entities.

Additional Resources

In this hands-on lab scenario, our organization (Awesome Company) is developing a next-generation video game that will rely heavily on the Cloud. In order to achieve guaranteed performance around the globe, we've chosen Azure Cosmos DB as the data backend. Knowing that session metadata is key to troubleshooting client issues, we have previously deployed a database account and a Sessions table using the Table API. You will now begin working with the session data.

Feel free to follow step-by-step instructions in the lab guide, view the solution video, or jump right in on your own. Use the method most helpful to you as a learner.

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