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Apache Solr for Indexing Data

You're reading from   Apache Solr for Indexing Data Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Length 160 pages
Edition 1st Edition
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Author (1):
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Anshul Johri Anshul Johri
Author Profile Icon Anshul Johri
Anshul Johri
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Table of Contents (13) Chapters Close

Preface 1. Getting Started FREE CHAPTER 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

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.

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Apache Solr for Indexing Data
Published in: Dec 2015
Publisher:
ISBN-13: 9781783553235
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