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

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.

Table of Contents

PART 1 MEET SOLR

Introduction to Solr

Getting to know Solr

Key Solr concepts

Configuring Solr

Indexing

Text analysis

PART 2 CORE SOLR CAPABILITIES

Performing queries and handling results

Faceted search

Hit highlighting

Query suggestions

Result grouping/field collapsing

Taking Solr to production

PART 3 TAKING SOLR TO THE NEXT LEVEL

SolrCloud

Multilingual search

Complex query operations

Mastering relevancy

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