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

About the Reviewers

Damiano Braga is the technical search lead at Trulia, where he leads all the backend search and browsing-related projects. He's also an open source contributor and has participated as a speaker at the Lucene Revolution 2014, where he presented Thoth, a real-time Solr monitoring and search analysis engine. He also previously reviewed the book Apache Solr Search Patterns, Packt Publishing.

Prior to Trulia, Damiano studied and worked for the University of Ferrara (Italy), where he also completed his master's degree in computer science engineering.

Florian Hopf works as a freelance software developer and consultant in Karlsruhe, Germany. He familiarized himself with Lucene-based searching while working with different content management systems on the Java platform. He is responsible for small and large search systems, on both the Internet and Intranet, for web content and application-specific data based on Lucene, Solr, and Elasticsearch. He helps organize the local Java user group as well as the Search Meetup in Karlsruhe. Florian has also written a German book on Elasticsearch. He posts blogs at http://blog.florian-hopf.de/.