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

Creating multimap indexes


RavenDB allows you to define more than one Map function for static indexes. In this case such indexes are called Multi map indexes. When using a Multi map index, we are looking to take information from different documents. A single map index has only one Map function, while a Multi map index has more than one Map function. A Multi map index will get its data from multiple sources. It may have no or only one Reduce function, and no or only one TranformResults function.

If the index has a Reduce function, then the multi map(s) function(s) output is sent to the Reduce function. The only requirement that we have is that the output of all of the Map functions should be identical (and obviously, matches the output of the Reduce function). Then we can just treat this information as normal Map/Reduce index, which means that you can use all usual index features of RavenDB.

To create a multi map index class, we have to inherit from the AbstractMultiMapIndexCreationTask class...