Book Image

Apache Solr for Indexing Data

Book Image

Apache Solr for Indexing Data

Overview of this book

Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.
Table of Contents (18 chapters)
Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Credits

Authors

Sachin Handiekar

Anshul Johri

Reviewers

Damiano Braga

Florian Hopf

Commissioning Editor

Ashwin Nair

Acquisition Editors

Rebecca Pedley

Reshma Raman

Content Development Editor

Rohit Kumar Singh

Technical Editor

Utkarsha S. Kadam

Copy Editor

Vikrant Phadke

Project Coordinator

Mary Alex

Proofreader

Safis Editing

Indexer

Rekha Nair

Production Coordinator

Manu Joseph

Cover Work

Manu Joseph