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

Summary


In this chapter, we covered the various features of Solr that can be used in an e-commerce website to provide a better user experience while searching results. Solr being open source provides an easy way to plug new features into it.

This chapter covered mostly the common features that are used in e-commerce and how to recreate those features in Solr.

This is the last chapter of the book, and we've now covered the various ways in which we can index data in Solr. This should give us enough skills to use this indexing feature of Solr in some real-life projects (for example, web crawlers, e-commerce websites, extracting data from word documents, and so on). Also, there are lots of books and online resources that will be useful for you all to get a deeper understanding of the features that have been discussed in this book.