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Developing Web Applications with Apache, MySQL, memcached, by Patrick Galbraith

By Patrick Galbraith

The one e-book to handle utilizing cache to reinforce and accelerate internet software developmentDevelopers use Apache, MySQL, memcached, and Perl to construct dynamic sites that shop info in the MySQL database; this is often the one publication to handle utilizing those applied sciences jointly to relieve the database load in internet developmentCovers all of the 4 structures and exhibits tips on how to set up, manage, and administer them; then indicates the reader how one can placed the elements jointly to begin construction applicationsExplains some great benefits of a base perl library for code re-use, and gives pattern purposes that reveal in a pragmatic approach the data coated within the prior chaptersExamines tracking, functionality, and safety, with a problem-solving bankruptcy that walks the reader via fixing real-world matters 

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Extra resources for Developing Web Applications with Apache, MySQL, memcached, and Perl (Wrox Programmer to Programmer)

Sample text

This book is intended as a bridge between the two skill sets, to help either of the ‘‘intermediate’’ groups to learn something new. What This Book Covers This book will cover each component in the LAMMP stack separately, so you can gain an understanding of each in isolation. It will then put all the pieces together to show how you can effectively use them for developing web applications. This isn’t the typical web application programming book! It’s written by an author who has had to fulfill many different roles in (usually) small organizations, where necessity dictated that he wear the various hats of a database administrator, systems administrator, and even a Perl application coder!

Sphinx has as its data source a query that returns a result set from MySQL that it in turn uses to create its full-text indexes. ❑ Gearman, which in this case is shown running on two different Gearman job servers (although it can run on any number of servers). tex V3 - 06/02/2009 Chapter 1: LAMMP, Now with an Extra M clients implemented within the application code, cron jobs, or clients in the form of the Gearman MySQL UDFs — to assign jobs to the Gearman workers. In turn, the workers can perform any number of tasks on all the other components, such as storing and retrieving data to and from memcached to MySQL, indexing Sphinx, or any other functional requirement for the web applications.

7. The storage engine, through inheritance (from the table handler), runs the appropriate methods to act upon the read or write of the data from the underlying data source. 8. MySQL sends the results back to the client. In case of a SELECT, this is the result data. For other queries, such as INSERT, it’s an OK packet that contains, among other things, how many rows were affected by the query. The main server coder makes read, write, update, or delete calls to the table handler interface depending on the query type.

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