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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

Removing duplicate documents (deduplication)


Solr provides us with a way to prevent duplicate or nearly duplicate elements to get indexed using a signature/fingerprint field. It natively provides a deduplication technique of this type via the signature class, and this can further be used to implement new hash and signature implementations.

Let's see how we can implement deduplication in Solr. We'll use our musicCatalog core, which we used in the previous chapter as well, and will modify it:

  1. Copy the musicCatalog core and create a new core called musicCatalog-dedupe from it. After we have created the new core, we'll change schema.xml to add a signature field that will contain the document signature/fingerprint:

    <!-- Field to store the fingerprint/signature -->
    <field name="signature" type="string" indexed="true" stored="true" required="true" multiValued="false" />
  2. After adding the field, we'll add a new UpdateRequestProcessor element to solrconfig.xml configuration file, which will...

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