Book Image

Guide to NoSQL with Azure Cosmos DB

By : Gaston C. Hillar, Daron Yöndem
Book Image

Guide to NoSQL with Azure Cosmos DB

By: Gaston C. Hillar, Daron Yöndem

Overview of this book

Cosmos DB is a NoSQL database service included in Azure that is continuously adding new features and has quickly become one of the most innovative services found in Azure, targeting mission-critical applications at a global scale. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture. You will learn to work with the latest available tools that simplify your tasks with Cosmos DB and reduce development costs, such as the Data Explorer in the Azure portal, Microsoft Azure Storage Explorer, and the Cosmos DB Emulator. Next, move on to working with databases and document collections. We will use the tools to run schema agnostic queries against collections with the Cosmos DB SQL dialect and understand their results. Then, we will create a first version of an application that uses the latest .NET Core SDK to interact with Cosmos DB. Next, we will create a second version of the application that will take advantage of important features that the combination of C# and the .NET Core SDK provides, such as POCOs and LINQ queries. By the end of the book, you will be able to build an application that works with a Cosmos DB NoSQL document database with C#, the .NET Core SDK, LINQ, and JSON.
Table of Contents (13 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we learned how to take advantage of strongly typed code in C#, LINQ, and Cosmos DB. First, we created models and other necessary types, and we customized the default serialization provided by Json.NET to match our specific needs.

We worked with the main classes of the Cosmos DB SDK for .NET Core and we built a second version of a .NET Core 2 application, which interacts with Cosmos DB by using POCOs instead of dynamic objects. We wrote code to retrieve instances of a specific class with asynchronous LINQ queries.

We wrote code that persisted strongly typed objects into documents that represent competitions. We read and updated existing documents with POCOs and we composed and executed single-partition and cross-partition queries with LINQ.

Now that we have a very clear understanding of how to use of POCOs and LINQ with the .NET Core SDK to perform create, read, and update operations with Cosmos DB, we will learn how to optimize the resource units consumed, work with...