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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 data in Solr

Indexing of data in Solr is done using a document that contains fields that are used to provide major information to Solr. A document can be broken down further into fields, which contain major pieces of information that is used by Solr to further provide better search results.

The musicCatalogue core that we'll build will contain fields representing information related to a song. For example, an artistName field will contain the name of the artist who sang the song. Another field such as duration can contain the length of the song. A fields can also contain a data type, which will further describe the type of data that can be used. For example, artistName can be described as a text field. On the other hand, the duration field can be of type float or double. The fieldType property specifies the kind of field to be used by Solr.

Note

More information about floating-point numbers can be found at https://en.wikipedia.org/wiki/Floating_point.

So let's go ahead and...

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