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

RavenDB Map/Reduce implementation


Map/Reduce is a programming model and an associated implementation for processing and generating large datasets. RavenDB indexes are Map/Reduce implementations and allow you to perform aggregations over multiple documents. Indexes use a Map function to specify what to retrieve from the server and optionally use Reduce and Transform functions to specify which results will be returned to the client.

Developer specifies one or more Map function(s) that processes a documents collection to generate a set of intermediate key-value pairs. The intermediate key-value pairs produced by the Map function are buffered in memory.

The Reduce function is not compulsory. An index may have zero or only one Reduce function. The Reduce function reads all intermediate key-value pairs generated by the Map(s) function(s) and aggregates associated values with the same intermediate key. After successful completion, the output of the Reduce function execution is available to the caller...