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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

Chapter 6. Indexing Data Using Apache Tika

In previous chapters, we saw how we can use the data import handler provided by Solr to index data using various datasources (JDBC and file datasource). In this chapter, we'll see how we can index data for various file formats, such as MS Word, Excel, PDF and many more. We'll cover the following topics:

  • Introducing Apache Tika

  • Configuring Apache Tika in Solr

  • Indexing PDF and Word documents

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