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Mastering Apache Solr 7.x

You're reading from   Mastering Apache Solr 7.x An expert guide to advancing, optimizing, and scaling your enterprise search

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788837385
Length 308 pages
Edition 1st Edition
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Authors (3):
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Dharmesh Vasoya Dharmesh Vasoya
Author Profile Icon Dharmesh Vasoya
Dharmesh Vasoya
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Sandeep Nair Sandeep Nair
Author Profile Icon Sandeep Nair
Sandeep Nair
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Solr 7 2. Getting Started FREE CHAPTER 3. Designing Schemas 4. Mastering Text Analysis Methodologies 5. Data Indexing and Operations 6. Advanced Queries – Part I 7. Advanced Queries – Part II 8. Managing and Fine-Tuning Solr 9. Client APIs – An Overview

Understanding analyzer


We have seen an overview of text analysis. Now let's dive deeper and understand the core processes running behind the scenes of analysis. As we have seen previously, the analyzer, tokenizer and filter are the three main components Solr uses for text analysis. Let's explore an analyzer. 

What is an analyzer?

An analyzer examines the text of fields and generates a token stream. Normally, only fields of type solr.TextField will specify an analyzer. An analyzer is defined as a child element of the <fieldType> element in the managed-schema.xml file. Here is a simple analyzer configuration:

<fieldType name="text_en" class="solr.TextField" positionIncrementGap="100">
 <analyzer class="org.apache.lucene.analysis.core.WhitespaceAnalyzer"/>
</fieldType>

Here, we have defined a single <analyzer> element. This is the simplest way to define an analyzer. We've already understood the positionIncrementGap attribute, which adds a space between multi-value...

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