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Apache Solr for Indexing Data

Apache Solr for Indexing Data

By : Handiekar, Johri
1 (1)
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Apache Solr for Indexing Data

Apache Solr for Indexing Data

1 (1)
By: Handiekar, Johri

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 (13 chapters)
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12
Index

Preface

Welcome to Apache Solr for Indexing Data. Solr is an amazing enterprise tool that gives us a search engine with various possibilities to index data and gives users a better experience. This book will cover the various indexing methods that we can use to improve the indexing process by covering step-by-step examples.

The book is all about indexing in Solr, and we'll cover all the possible topics in Solr that developers can use in their use cases by following simple examples.

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