Book Image

Apache Solr Enterprise Search Server - Third Edition

By : David Smiley, Eric Pugh, Kranti Parisa, Matt Mitchell
Book Image

Apache Solr Enterprise Search Server - Third Edition

By: David Smiley, Eric Pugh, Kranti Parisa, Matt Mitchell

Overview of this book

<p>Solr Apache is a widely popular open source enterprise search server that delivers powerful search and faceted navigation features—features that are elusive with databases. Solr supports complex search criteria, faceting, result highlighting, query-completion, query spell-checking, relevancy tuning, geospatial searches, and much more.</p> <p>This book is a comprehensive resource for just about everything Solr has to offer, and it will take you from first exposure to development and deployment in no time. Even if you wish to use Solr 5, you should find the information to be just as applicable due to Solr's high regard for backward compatibility. The book includes some useful information specific to Solr 5.</p>
Table of Contents (19 chapters)
Apache Solr Enterprise Search Server Third Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Filtering


Separate from the q parameter (the user query), you can specify additional so-called filter queries that will filter the search results. Arguably, the user query is also a filter, but you instead see the word "search" used for that. Filter queries don't affect scoring, unlike the user query. To add a filter, simply use the fq parameter. This parameter can be added multiple times for additional filters. A document must match all filter queries and the user query for it to be in the results.

As an example, let's say, we wanted to make a search form for MusicBrainz that lets the user search for bands, not individual artists, and those that released an album in the last 10 years. Let's also say that the user's query string is Green. In the index, a_type is either person for an individual or group for a band, or 0 if unknown. Therefore, a query that would find non-individuals would be this, combined with the user's query:

+Green -a_type:person +a_release_date_latest:[NOW/YEAR-10YEARS...