By Brian Ritchie

Easy methods to speed up your program improvement by way of development scalable functions at the RavenDB rfile database


• easy methods to construct your software for scalability and excessive availability
• Make hugely interactive purposes that help client-side notifications, faceted seek, seek feedback, and more
• make the most of complicated RavenDB APIs to make your program fly

In Detail

RavenDB is a thrilling expertise that demanding situations builders to re-examine their previous methods of wondering databases. at the moment, Internet-scale purposes require this clean point of view. RavenDB excessive functionality strikes past the fundamentals and publications you thru construction scalable purposes utilizing the wealthy positive aspects and extensibility of RavenDB.

RavenDB excessive Performance cuts in the course of the noise and makes a speciality of the main details you must construct scalable functions at the RavenDB rfile database. The publication discusses each element of establishing a excessive functionality procedure, from modeling your facts to deploying it in a clustered atmosphere. Examples are supplied to make this knowledge effortless to use in your particular software scenario.

Beginning with the NoSQL circulation, RavenDB excessive functionality delves into the forces pushing builders past the normal relational database strategies. From there, the publication makes a speciality of the layout and improvement of web-based functions on RavenDB. It provides transparent recommendation and examples to steer the reader via this new and fascinating expertise. facts modeling via records is mentioned intimately. This figuring out is necessary for development fresh code and scalable purposes. as soon as this origin is validated, the writer makes a speciality of key APIs that optimize info entry and provides finish clients nice studies. Scaling out and excessive availability strategies also are mentioned in detail.

RavenDB excessive Performance brings jointly the assets you would like for development scalable purposes on RavenDB in a simple to appreciate and use layout. recommendation, diagrams, and code can assist you quick comprehend the suggestions that you'll practice for your subsequent application.

What you are going to examine from this book

• version information utilizing documents
• make the most of the easiest APIs for optimizing facts access
• visual display unit a RavenDB instance
• discover functionality difficulties and song your configuration
• Scale out to a number of nodes utilizing sharding
• reflect to a relational database for reporting
• Distribute load utilizing learn striping
• Create excessive availability via multi-node replication
• Use Failover Clustering for prime availability
• installation RavenDB to the cloud
• Create client-side notifications from RavenDB utilizing SignalR
• expand the RavenDB server along with your personal customized code


RavenDB excessive Performance is entire but concise educational that builders can use to maximise the potency and optimization of RavenDB itself.

Who this publication is written for

This publication is for builders and software program architects who're designing structures to be able to in achieving excessive functionality correct from the beginning. A uncomplicated knowing of RavenDB is usually recommended, yet now not required. whereas the e-book specializes in complex issues, it doesn't imagine that the reader has loads of earlier wisdom of operating with RavenDB.

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Additional resources for RavenDB High Performance

Sample text

LoadStartingWith("books/1/chapters", null, 1, 10); You can even use this to match a part of a complex key. LoadStartingWith("phones/FL/904", null, 1, 10); The second parameter in the LoadStartingWith() method supports additional filtering by passing a pipe "|" delimited list of wildcards. " for matching on a single character just like searching a file system. While RavenDB supports other methods to retrieve lists of documents, using keys is the fastest method since RavenDB can go directly to the data store to load the documents.

Group }; } } Handling changing data over time So far, we have discussed documents that represent the current value of our data. But in many cases, data changes over time. How do we know what the previous state of the data was before it was updated? In relational databases, we often create history tables to store these old versions. Fortunately, RavenDB has a much cleaner approach. It has a Versioning bundle that adds support for automatically storing snapshots of documents every time they are changed.

Summary The design of your document data model is a key to performance and simplicity. But it requires thinking from a document perspective and not a relational one. Your documents should represent the natural boundaries within your application. The other tools such as indexes are there to aid in querying and are not meant to replace good document design. Next up, we will move beyond the session-based APIs covered in this chapter. These specialized APIs allow for further performance optimizations.

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