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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

Building our musicCatalogue example

In our previous section, we saw how we can create a Solr schema using different fields and field types. Now let's use this schema to create a working Solr example.

To do this, we'll need to follow these steps:

  1. As we've already created the folder structure required for our musicCatalogue example to work, let's go ahead and create the solrconfig.xml config file.

    The solrconfig.xml looks like the following:

    <?xml version="1.0" encoding="UTF-8" ?>
    <config>
      <luceneMatchVersion>4.10.1</luceneMatchVersion>
      <dataDir>${solr.data.dir:}</dataDir>
    
      <requestDispatcher handleSelect="false">
        <httpCaching never304="true"/>
      </requestDispatcher>
      <requestHandler name="/select" class="solr.SearchHandler" />
      <requestHandler name="/update" class="solr.UpdateRequestHandler"/>
      <requestHandler name...
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