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Apache Solr for Indexing Data

You're reading from Apache Solr for Indexing Data

Product type Book

Published in Dec 2015

Publisher

ISBN-13 9781783553235

Pages 160 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (18) Chapters

Apache Solr for Indexing Data

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started

2. Understanding Analyzers, Tokenizers, and Filters

3. Indexing Data

4. Indexing Data – The Basic Technique and Using Index Handlers

5. Indexing Data with the Help of Structured Datasources – Using DIH

6. Indexing Data Using Apache Tika

7. Apache Nutch

8. Commits, Real-Time Index Optimizations, and Atomic Updates

9. Advanced Topics – Multilanguage, Deduplication, and Others

10. Distributed Indexing

11. Case Study of Using Solr in E-Commerce

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.

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