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


Thus, by the end of the first chapter, you have learned what Solr is, how to install and run it on various operating systems, what the various components and basic building blocks of Solr are (such as its configuration files and directory structure), and how to set up configuration files. You also learned in brief about the architecture of Solr. In the last section, we covered multicore setup in the Solr 4.x.0 series. However, the legacy method of multicore setup is going to be deprecated in the Solr 5.x release and then it's going to be only discovery mode, which is called SolrCloud.

In the next chapter, we will look deeply into the various components used in Solr configuration files, such as tokenizers, analyzers, filters, field types, and so on.