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

MusicBrainz.org


Instead of continuing to work with the sample data that comes with Solr, we're going to use a large database of music metadata from the MusicBrainz project at http://musicbrainz.org. The data is free and is submitted by a large community of users. One way MusicBrainz offers this data is in the form of a large SQL file for import into a PostgreSQL database. In order to make it easier for you to play with this data, the online code supplement to this book includes the data in formats that can readily be imported into Solr. Alternatively, if you already have your own data, then we recommend starting with that, using this book as a guide.

The MusicBrainz database is highly relational. Therefore, it will serve as an excellent instructional dataset to discuss Solr schema choices. The MusicBrainz database schema is quite complex, and it would be a distraction to go over even half of it. We are going to use a subset of it and express it in a way that has a straightforward mapping...