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Key-based operations provide an efficient mechanism for accessing data, and key-value stores often provide better performance than other data-access approaches. However, relying solely on keys to access complex data can be very limiting. Document databases provide a more flexible approach for querying data based on the content of the documents they store. Every document database provides different querying techniques.

In Couchbase, there are two different ways to query document content: views and the N1QL query language, which is covered in Chapter 6. However, even with these two mechanisms, you are limited to finding known keys and searching in predefined indexes within a single bucket. This is where N1QL comes to the rescue!


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When we wrote the first version of this book, it was only offered as a developer preview, but now Couchbase 4. In the previous four chapters, you learned about the various SDKs, key-based operations, views, and the N1QL language. But just knowing how to store and retrieve data does not immediately translate into being a deadly Couchbase coding ninja.

To be fair, being able to use the CRUD operations and indexed queries is enough for quite a few different applications. However, real production systems, enterprise software, and various web-scale applications have requirements beyond just using a database. Both of these techniques have strengths and weaknesses, but the one thing they have in common is that they focus on finding exact matches for values. For example, in Chapter 5 , you used a view to retrieve rants based on ranters ranting about them. To do so, you indexed the value of the rantAbout.

This kind of querying is typical for most database systems, which allow you to search based on exact values.

Pro Couchbase Server, Second Edition by Yaniv Rodenski, Mohammed Haji, David Ostrovsky

But sometimes, exact values are not enough. Just as with most social applications, RanteR must allow its users to search for rants and ranters based on more flexible parameters, such as some of the rant content. In Part I, you installed Couchbase Server and used the admin console to create a new bucket among other things.

Before we dive into the intricacies of Couchbase Server administration, we must learn the number-one, irreplaceable, absolutely crucial Couchbase troubleshooting technique: turning it off and on again. Couchbase Server has a slick and user-friendly UI, which makes it easy to set up and use, but under the deceptively simple surface lies a whole system of complex and interconnected mechanisms.

Luckily, this complex system offers multiple ways to monitor its behavior, along with a huge number of switches and settings to tweak, ranging in effect from subtle to very profound. Cloud computing has been one of the main catalysts for the growth of data.

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Pro Couchbase Server covers everything you need to develop Couchbase solutions and deploy them in production. The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. Never have document databases been so powerful and performant. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want.

Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers.

Pro Couchbase Server, Second Edition by Yaniv Rodenski, Mohammed Haji, David Ostrovsky

Helps you design and develop a document database using Couchbase Server. Covers the latest features such as the N1QL query language. Gives you the tools to scale out your application as needed. Added to basket. Designing Data-Intensive Applications. Martin Kleppmann. Agile Data Warehouse Design.