Book Image

Apache Solr PHP Integration

By : Jayant Kumar
Book Image

Apache Solr PHP Integration

By: Jayant Kumar

Overview of this book

The Search tool is a very powerful for any website. No matter what type of website, the search tool helps visitors find what they are looking for using key words and narrow down the results using facets. Solr is the popular, blazing fast, open source enterprise search platform from the Apache Lucene project. It is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest websites.This book is a practical, hands-on, end-to-end guide that provides you with all the tools required to build a fully-featured search application using Apache Solr and PHP. The book contains practical examples and step-by-step instructions.Starting off with the basics of installing Apache Solr and integrating it with Php, the book then proceeds to explore the features provided by Solr to improve searches using Php. You will learn how to build and maintain a Solr index using Php, discover the query modes available with Solr, and how to use them to tune the Solr queries to retrieve relevant results. You will look at how to build and use facets in your search, how to tune and use fast result highlighting, and how to build a spell check and auto complete feature using Solr. You will finish by learning some of the advanced concepts required to runa large-scale enterprise level search infrastructure.
Table of Contents (15 chapters)
Apache Solr PHP Integration
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 6. Debug and Stats Component

Debug and stats are two components in Solarium used to get more information about the index statistics and how queries are executed and results returned. In this chapter we will explore both the components and go in depth on how to retrieve the index statistics using the stats component. We will also look at how Solr calculates relevance scores and how we can use PHP to get and display the query explanation returned by Solr. We will explore:

  • How Solr does relevance ranking

  • Executing a debug through PHP code

  • Running a debug on Solr interface

  • Displaying the output of debug query

  • Display query result statistics using the stats component

You could say why should I go into the theory about these components? What will this help me achieve? The benefit of using the debug component is to understand and analyze how the search result was ranked. Why did a certain document come on the top and why did another document come at the end? Further if you want to alter the ranking...