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Mastering Apache Solr 7.x

You're reading from   Mastering Apache Solr 7.x An expert guide to advancing, optimizing, and scaling your enterprise search

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788837385
Length 308 pages
Edition 1st Edition
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Authors (3):
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 Nair Nair
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Nair
 Mehta Mehta
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Mehta
Dharmesh Vasoya Dharmesh Vasoya
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Dharmesh Vasoya
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Table of Contents (14) Chapters Close

Apache Tika and indexing


We have seen how to index data from a standard file format such as JSON or XML. But what about proprietary file formats such as Word and PDF? Luckily, Solr comes to the rescue with the use of the Apache Tika project. The Tika framework provides a way to incorporate various file formats such as Word and PDF. 

Internally, Tika uses the Apache PDFBox parser to parse PDF and Apache POI for the Word format. Solr provides ExtractingRequestHandler, which makes use of Tika to upload binary files and to index as well as extract data.

This framework in Solr is known as Solr Cell, which is an abbreviation of Solr content extraction library, the name when this framework was under development.

Solr Cell basics

As we have earlier seen that, the Solr Cell framework leverages the Tika framework. Let's look at some basic concepts about this.

Please specify the MIME type for Tika explicitly to specify the document type. This has to be done with the stream.type parameter or else Tika will...

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