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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 documents using XML


In Solr, we can index XML messages to the update handler using the content-type tag: for example application/xml or text/xml. In the following subsections, we'll see how we can perform add, update, or delete commands.

Adding and updating documents

Solr provides an easy-to-use XML schema; this schema can be used to index data in Solr. The XML schema mainly contains the following elements:

  • <add>: This element is the parent element, and it tells Solr that we're adding a document for indexing

  • <doc>: This element contains all the fields that are going to be indexed

  • <field>: This element contains the content, name, and value of the field that is going to be indexed

For example, the sample XML document looks like the following code:

<add>
  <doc>
    <field name="songId">100000010</field>
    <field name="songName">(Oh No) What You Got</field>
    <field name="artistName">Justin Timberlake</field>
    &lt...
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