Summary

Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities.

About the Book

Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents.

Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning.

This book assumes basic knowledge of Java and standard database technology. No prior knowledge of Solr or Lucene is required.

What's Inside

• How to scale Solr for big data
• Rich real-world examples
• Solr as a NoSQL data store
• Advanced multilingual, data, and relevancy tricks
• Coverage of versions through Solr 4.7

Table of Contents

Part 1- Meet Solr

1 Introduction to Solr

2 Getting to know Solr

3 Key Solr concepts

4 Configuring Solr

5 Indexing

6 Text analysis

Part 2- Core Solr capabilities

7 Performing queries and handling results

8 Faceted search

9 Hit highlighting

10 Query suggestions

11 Result grouping/ field collapsing

12 Taking Solr to production

Part 3- Taking Solr to the next level

13 SolrCloud

14 Multilingual search

15 Complex query operations

16 Mastering relevancy

About the Authors

Trey Grainger is a director of engineering at CareerBuilder. 

Timothy Potter is a senior member of the engineering team at LucidWorks. The authors work on the scalability and reliability of Solr, as well as on recommendation engine and big data analytics technologies.