Book Image

RavenDB 2.x Beginner's Guide

By : Khaled Tannir
Book Image

RavenDB 2.x Beginner's Guide

By: Khaled Tannir

Overview of this book

RavenDB is a second generation document database written in .NET, offering a flexible data model designed to address requirements coming from real-world systems. It is different from the other document databases around, as with RavenDB you can get up and running in a few minutes, and that includes grasping all the basics. It allows you to build high-performance, low-latency applications with ease and efficiency.RavenDB 2.x Beginner's Guide introduces RavenDB concepts and teaches you everything, right from installing RavenDB, to creating documents, and querying indexes. This book will help you take advantage of powerful, document-oriented NoSQL databases and build a solid foundation on which you can create your .NET applications. This book presents RavenDB, the .NET document-oriented NoSQL database, through a series of clear and practical exercises that will help you to take advantage of this database server. The book starts off with an introduction to RavenDB and its Management Studio. You will then move ahead and learn how to quickly and efficiently build high performance, NoSQL document-oriented .NET applications using the .NET client API or the HTTP REST API. Next, Dynamic and static indexes that use map/reduce to process datasets are covered. You will then see how to create and query these indexes, with the help of detailed examples. You will also learn how to deploy your RavenDB server in a production environment and how to optimize and secure it.With numerous practical examples, RavenDB 2.x Beginner's Guide teaches you everything you need to know for building high performance .NET document-oriented NoSQL databases.
Table of Contents (21 chapters)
RavenDB 2.x Beginner's Guide
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Handling documents relationships


Relational databases allow the user to create relationships between tables while in document databases the basic idea is that documents are independent.

Most of the advantages of document databases come from the document-oriented modeling. In a document-oriented model, data objects are stored as documents; each document stores your data and enables you to update the data or delete it. Analogous to the relational approach, complex parts (separate document(s)) can be implemented in a document, which will refer to these parts by a unique identifier.

However, in the document-model it is also possible to add a part as a property or collection inside the document representing the owner. In this case, if the owner is removed, the part will be removed with it automatically.

This approach is called data denormalization, where the owner document contains the actual value of the referenced entity in addition (or instead) to the foreign key. Therefore, this approach may...