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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

Indexing PDF and Word documents


We'll create a new schema that will hold the metadata information for our indexed files. Apache Tika will extract the metadata information from the file that we pass to it. The schema.xml configuration, which we'll use, looks like the following:

<?xml version="1.0" encoding="UTF-8" ?>
<schema name="tika-example" version="1.5">

  <field name="title" type="text_general" indexed="true" stored="true" multiValued="true"/>
  <field name="author" type="text_general" indexed="true" stored="true"/>
  <field name="content" type="text_general" indexed="true" stored="true" multiValued="true"/>

  <dynamicField name="attr_*" type="text_general" indexed="true" 
    stored="false" multiValued="true"/>

  <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100">
    <analyzer>
      <charFilter class="solr.PatternReplaceCharFilterFactory" pattern="([\\n])" replacement=""/>
      <tokenizer class...
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