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

Running debug on Solr interface


The parameters appended to the Solr query URL in our example are debugQuery=true, explainOther=author:king, and debug.explain.structured=true. Let us check the Solr output for a debug query by visiting the URL http://localhost:8080/solr/collection1/select/?omitHeader=true&debugQuery=true&fl=id,name,author,series_t,score,price&start=0&q=cat:book+OR+author:martin^2&rows=5

The following is a screenshot of the output of the previous query:

We can see the debug component after the results component in Solr query results interface. It contains the raw query and parsed query. The explain element in the debug component contains the score and the calculations that were done to achieve the score

Since debugging a Solr query is required to tune the relevance, it makes more sense to use the Solr interface to see the debug output. PHP interface to the debug component can be used to create an interactive user interface where field level boosts are taken...