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PHP and MongoDB Web Development Beginner's Guide

PHP and MongoDB Web Development Beginner's Guide

4.2 (11)
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PHP and MongoDB Web Development Beginner's Guide

PHP and MongoDB Web Development Beginner's Guide

4.2 (11)

Overview of this book

With the rise of Web 2.0, the need for a highly scalable database, capable of storing diverse user-generated content is increasing. MongoDB, an open-source, non-relational database has stepped up to meet this demand and is being used in some of the most popular websites in the world. MongoDB is one of the NoSQL databases which is gaining popularity for developing PHP Web 2.0 applications.PHP and MongoDB Web Development Beginner’s Guide is a fast-paced, hands-on guide to get started with web application development using PHP and MongoDB. The book follows a “Code first, explain later” approach, using practical examples in PHP to demonstrate unique features of MongoDB. It does not overwhelm you with information (or starve you of it), but gives you enough to get a solid practical grasp on the concepts.The book starts by introducing the underlying concepts of MongoDB. Each chapter contains practical examples in PHP that teache specific features of the database.The book teaches you to build a blogging application, handle user sessions and authentication, and perform aggregation with MapReduce. You will learn unique MongoDB features and solve interesting problems like real-time analytics, location-aware web apps etc. You will be guided to use MongoDB alongside MySQL to build a diverse data back-end. With its concise coverage of concepts and numerous practical examples, PHP and MongoDB Web Development Beginner’s Guide is the right choice for the PHP developer to get started with learning MongoDB.
Table of Contents (17 chapters)
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PHP and MongoDB Web Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Performing aggregation using group()


Besides MapReduce, aggregation in MongoDB can also be performed using the group() method on a collection. group() can be viewed as a short-circuit approach for doing MapReduce. It is easier to learn and use (easier because it is a lot similar to using GROUP BY in SQL). The group() method takes the following parameters:

  • key: Specifies the key or set of keys by which the documents will be grouped.

  • initial: The base aggregator counter, specifies initial values before aggregation.

  • reduce: A reduce that aggregates the documents. It takes two arguments, the current document being iterated over, and the aggregation counter.

In addition to these, group() can also receive the following optional arguments:

  • cond: A query object. Only the documents matching this query will be used in grouping.

  • finalize: A function that runs on each item in the result set (before returning the item). It can either modify or replace the returning item.

In the next section, we...

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