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RavenDB High Performance, by Brian Ritchie
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This tutorial gives you the knowledge you need to build scalable applications on RavenDB. Designed to be easy to understand and follow, it includes diagrams and code to help you maximize the efficiency of your database.
Overview
- Learn how to build your application for scalability and high availability
- Make highly interactive applications that support client-side notifications, faceted search, search suggestions, and more
- Take advantage of advanced RavenDB APIs to make your application fly
In Detail
RavenDB is an exciting technology that challenges developers to reconsider their old ways of thinking about databases. In this day and age, Internet-scale applications require this fresh perspective. RavenDB High Performance moves beyond the basics and guides you through building scalable applications using the rich features and extensibility of RavenDB.
RavenDB High Performance cuts through the noise and focuses on the key information you need to build scalable applications on the RavenDB document database. The book discusses every aspect of building a high performance system, from modeling your data to deploying it in a clustered environment. Examples are provided to make this information easy to apply to your specific application scenario.
Beginning with the NoSQL movement, RavenDB High Performance delves into the forces pushing developers beyond the traditional relational database solutions. From there, the book focuses on the design and development of web-based applications on RavenDB. It gives clear advice and examples to guide the reader through this new and exciting technology. Data modeling through documents is discussed in detail. This understanding is critical for building clean code and scalable applications. Once this foundation is established, the author focuses on key APIs that optimize data access and give end users great experiences. Scaling out and high availability techniques are also discussed in detail.
RavenDB High Performance brings together the resources you need for building scalable applications on RavenDB in an easy to understand and use format. Advice, diagrams, and code will help you quickly understand the concepts that you will apply to your next application.
What you will learn from this book
- Model data using documents
- Utilize the best APIs for optimizing data access
- Monitor a RavenDB instance
- Detect performance problems and tune your configuration
- Scale out to multiple nodes using sharding
- Replicate to a relational database for reporting
- Distribute load using read striping
- Create high availability through multi-node replication
- Use Failover Clustering for high availability
- Deploy RavenDB to the cloud
- Create client-side notifications from RavenDB using SignalR
- Extend the RavenDB server with your own custom code
Approach
RavenDB High Performance is comprehensive yet concise tutorial that developers can use to.
Who this book is written for
This book is for developers & software architects who are designing systems in order to achieve high performance right from the start. A basic understanding of RavenDB is recommended, but not required. While the book focuses on advanced topics, it does not assume that the reader has a great deal of prior knowledge of working with RavenDB.
- Sales Rank: #2667052 in Books
- Published on: 2013-08-26
- Released on: 2013-08-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .28" w x 7.50" l, .50 pounds
- Binding: Paperback
- 124 pages
About the Author
Brian Ritchie
Brian Ritchie is a software architect with a track record of developing large scale enterprise systems and leading development teams through difficult scalability challenges. Brian has 20 years of experience in Software Development and is currently Chief Architect at PaySpan, Inc. which provides innovative reimbursement solutions to healthcare payers and providers.
Brian is active in the development community giving presentations to local user groups and code camps. He has also contributed to Mono (the open source version of .NET) and various other open source projects. You can follow him on Twitter at http://twitter.com/brian_ritchie and read his blog at http://weblogs.asp.net/britchie.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Focuses on optimizations across the data model, API, server, and user experience
By Brian Federici
RavenDB High Performance starts off with a quick overview of relational databases, identifying some key shortcomings as well as architectural shifts that have led to the surge of "NoSQL" (Not Only SQL) databases in recent years. That is followed by a short summary of documents (from a NoSQL perspective) and then it jumps right into RavenDB features.
Coming to this book with prior experience in Raven, this was exactly the approach I wanted. I appreciated that it got right into the subject at hand without a lengthy introduction or filler content. I found the writing to be straight-forward without being dry or boring. It was a quick read overall, but the concepts and techniques took time to sink in.
In some ways, I found the book easier to follow than the online RavenDB documentation. While it's not extensive enough to replace the online docs, I found the organization of the book to be more logical and it did a better job of surfacing the core knowledge you'd need day-to-day.
This title covers up through RavenDB version 2.5, which is ahead of what we're using in production. I learned about a handful of helpful, new features including materialized views, SQL reporting, and the streaming API. I also learned about some useful client API features I had never come across before: session.Advanced.LoadStartingWith(...), UniqueConstraintAttribute, temporal versioning, cascade delete bundle, bulk insert, and session.Advanced.Lazily/Eagerly.
After covering data modeling and the client API, the book moves on to performance tuning and monitoring. This highlights the key features in RavenDB where admins can see statistics on each database, monitor performance, and quickly isolate issues within the system.
The book then transitions to scaling out. An entire chapter is devoted to sharding, which helped clear up a lot of unknowns for me. In fact, this was one of the more thorough chapters in the book. It contained numerous code examples and illustrations of different sharding strategies as well as how to define a custom strategy.
While we didn't need to make use of sharding for our project, we did take advantage of replication, which is the focus of the next chapter. It covers the different types of topologies (master-slave, master-master, and multi master), conflict resolution, failover behaviors, failover clustering, and read striping. This is probably the feature I had the most trouble with while implementing the project at work. We tried the master-master topology but ran into serious data issues due to our code implementation. We are now using the master-slave topology. While this chapter doesn't delve into all the intricacies of replication, it highlights the key functionality you need to get up and running.
The following chapter discusses deploying to the cloud. I really wish our project would have taken advantage of Database as a Service (DaaS). I spent a good amount of time updating and maintaining the servers myself, whereas the DaaS vendors described in this chapter handle all that headache for you. At least I know for the future.
The next chapter on extending RavenDB provides an overview of triggers, codecs, and server-side tasks. This chapter is heavy on code examples since it highlights more advanced functionality like custom compression and how to hook into different events within Raven.
The final chapter focuses on improving the user experience, taking advantage of facets, suggestions, search highlighting, and real-time updates with SignalR. Lots of useful code samples here to demonstrate each feature. Unfortunately, technology moving as fast as it does, the section on real-time updates is already out-of-date. SignalR has gone through a major version change and a lot of the code examples won't work as written, so you'll have to research the latest SignalR documentation to spin up your own implementation.
CONCLUSION
As the book states, it is written for people with existing knowledge of RavenDB (some ASP.NET MVC helps too). From that perspective, this is a worthwhile read as it covers the core features with a tight focus on optimization. There is no filler here, just to-the-point explanations with code samples. Aside from the outdated SignalR examples, all the other code samples are functional.
If you're just getting started with RavenDB, I would recommend going through the online tutorials on ravendb.net first and getting the basics down before you tackle this book. While this book is a good reference, it makes assumptions about your knowledge of the system and that could be frustrating to someone brand new to Raven.
HIGHLIGHTS
* Assumes an existing knowledge of RavenDB
* Moves quickly from one topic to the next
* Focuses on optimizations across the data model, API, server, and user experience
* Explanation of features is clear and well-written
* Contains many useful code samples
0 of 0 people found the following review helpful.
Many useful tricks but a bit too short for the topic
By Johnny Graber
This book covers many important things beyond high performance that you should know to use RavenDB properly. The part about modelling your documents and how to handle relations between them has a profound impact on performance, but even more on the maintainability of your application. Even if you don’t care much about high performance you can learn a lot from this book.
If your primary concern is performance then you will find many tricks to squeeze more performance out of the API. Most of them are not part of the official documentation and when only as a comment to a more general topic. The author made a big effort to collect them and gives good examples on how to use those optimisations.
The 124 pages of the book however are not enough for a profound explanation of a topic like high performance. If you can live with that and you are looking for one way to optimize your RavenDB installation this is not a problem. Should you need more or want to know different ways this is not the book you are looking for. Therefore I can give only 4 stars.
0 of 0 people found the following review helpful.
The best book on RavenDB that is available currently (but not for absolute beginners!)
By Sebastian Gebski
This book is a clear win - it's a short but very practical guide to the most crucial aspects of RavenDB. It doesn't describe the basics from scratch, so if you're new to RavenDB you should look for something else. It goes through the most practical scenarios, related to scalability, redundancy and unique scenarios that can be implemented with Raven. I really loved the examples - they are short, but very juicy and they utilize Raven altogether with some other interesting solutions - like SignalR.
To summarize: if you're considering RavenDB for your product / service, give this book a go, it will help you to understand what's Raven capable of.
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