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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
Tools
Concepts
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Authors (2):
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 Handiekar Handiekar
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Handiekar
 Johri Johri
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Johri
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Table of Contents (18) Chapters Close

Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
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

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

In the previous chapter, we saw how we can use Apache Nutch to crawl websites and index them in Solr. In this chapter, we'll see how we can index data in real-time using the features available from Solr 4. By using these features, the indexed data will be available in real-time for the user to see.

This chapter will cover the following topics:

  • Understanding soft commit, optimize, and hard commit

  • Using atomic updates to update fields

  • Using RealTime Get

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