Working with the Gremlin 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. There will be a social component to the game, allowing players to connect with friends and find new teammates based on common game interests, relationships, and more. To support this type of data model we’ve provisioned a database account using the Gremlin API. Now we will begin working with the graph data.

Performing the actions of this lab will help you become familiar with how to create, modify, delete, and query data using the Gremlin 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 Vertices and Edges

Use Data Explorer within the Azure Cosmos DB account to create vertices and edges for player connections.

Example:

  • Label: Darth Delmar
  • gamerId (number): 7777
  • team (string): red
  • preferredClass (string): Ranger
Update Vertices

Use Data Explorer within the Azure Cosmos DB account to update vertices. One suggestion would be to change the team.

Query the Graph

Use Data Explorer within the Azure Cosmos DB account to query the graph. One suggestion would be to search for all the vertices on the red team.

Delete Vertices

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

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. There will be a social component to the game, allowing players to connect with friends and find new teammates based on common game interests, relationships, and more. To support this type of data model we've provisioned a database account using the Gremlin API. Now we will begin working with the graph 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.

What are Hands-on Labs

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

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