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

Chapter 5. Working with POCOs, LINQ, and a NoSQL Document Database

In this chapter, we will continue working with the .NET Core SDK, but this time we will work with POCOs and LINQ queries. We will take advantage of the strongly typed features of C# and the functional programming features that LINQ provides to work with Cosmos DB. We will improve the application we started in the previous chapter and we will understand the advantages of working with POCOs combined with LINQ.

In this chapter, we will do the following:

  • Create models and customize serialization
  • Insert POCOs
  • Calculate a cross-partition aggregate with an asynchronous LINQ query
  • Read and update an existing document with a POCO
  • Query documents in multiple partitions with LINQ
  • Write LINQ queries that perform operations on arrays
  • Call asynchronous methods that use POCOs to create and query documents
  • Inspect the SQL API queries that LINQ generates