Apache Solr for Indexing Data

Apache Solr for Indexing Data

by Sachin Handiekar and Anshul Johri
English | 2015 | ISBN: 1783553235 | 157 Pages | True PDF | 3 MB

Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr.

This book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected.

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.



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