Book Image

PHP and MongoDB Web Development Beginner's Guide

Book Image

PHP and MongoDB Web Development Beginner's Guide

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)
PHP and MongoDB Web Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Benefits of caching queries in MongoDB


The real benefit of using this technique becomes apparent when we try this on a table with a large number of rows. If we had to perform queries on it in real-time, triggered by a user who wants to see the result in a webpage, he would have to wait for a long time for the page to load, because such queries will obviously take a long time to complete on a massive table. Also, the database server will experience a heavy load when more than one user is running such queries multiple times. Rather, we should have a background process (cron job in UNIX terms) that kicks off automatically at the end of the day (or when the web traffic is at its least), runs the query, and stores the result in MongoDB so that it can be served to the user promptly.

Storing results of expensive JOINs

We can also use MongoDB to store results of JOIN queries among very large tables. Obviously, if the data in the tables participating in the JOIN changes, the result cache becomes...