Whenever we change the definition of a view, the entire view is recreated. In order to minimize overhead, ensure that you verify the logic of the view at the development stage before moving it to production, since it works on sample documents of the bucket. Subsequent changes to documents are taken care of by performing incremental MapReduce on the changed documents only. There is a mechanism for updating views conditionally when the client executes a view query by specifying the stale parameter. The indexes information stored on the disk consist of a combination of both key and value information defined within your view. There are three values of the stale parameter:
Learning Couchbase
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Learning Couchbase
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Overview of this book
This book achieves its goal by taking up an end-to-end development structure, right from understanding NOSQL document design to implementing full fledged eCommerce application design using Couchbase as a backend.
Starting with the architecture of Couchbase to get you up and running, this book quickly takes you through designing a NoSQL document and implementing highly scalable applications using Java API. You will then be introduced to document design and get to know the various ways to administer Couchbase. Followed by this, learn to store documents using bucket. Moving on, you will then learn to store, retrieve and delete documents using smart client base on Java API. You will then retrieve documents using SQL like syntax call N1QL. Next, you will learn how to write map reduce base views. Finally, you will configure XDCR for disaster recovery and implement an eCommerce application using Couchbase.
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Learning Couchbase
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Table of Contents (12 chapters)
Free Chapter
Introduction to Couchbase
The Couchbase Administration Interface
Storing Documents in Couchbase Using Buckets
Designing a Document for Couchbase
Introducing Client SDK
Retrieving Documents without Keys Using Views
Understanding SQL-Like Queries – N1QL
Full Text Search Using ElasticSearch
Data Replication and Compaction
Administration, Tuning, and Monitoring
Case Study – An E-Commerce Application
Index
Customer Reviews