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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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Dharmesh Vasoya Dharmesh Vasoya
Author Profile Icon Dharmesh Vasoya
Dharmesh Vasoya
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Sandeep Nair Sandeep Nair
Author Profile Icon Sandeep Nair
Sandeep Nair
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Solr 7 2. Getting Started FREE CHAPTER 3. Designing Schemas 4. Mastering Text Analysis Methodologies 5. Data Indexing and Operations 6. Advanced Queries – Part I 7. Advanced Queries – Part II 8. Managing and Fine-Tuning Solr 9. Client APIs – An Overview

Basics of Solr indexing


In order to make content available for searching, we need to index it first—as simple as that! The process of indexing essentially involves any one of the three activities as shown in this diagram:

Let's drill down and look at the indexing process, which has the following main actions:

  • Adding content to the Solr Index
  • Updating the index
  • Deleting from the index

Now, there are two basic questions that might arise in your mind:

  • From where does Solr accept data to be indexed? Or what are different sources from where data can be indexed?
  • How do we index data from the sources that we have identified?

Common sources that the Solr index can get data from are:

  • Database tables
  • CSV files
  • XML files
  • Microsoft Word or PDF

The answers to "How does the Solr index get data from the aforementioned sources?" are as follows:

  • Using client APIs
  • Uploading XML files using HTTP requests to the Solr server
  • Using the Apache Tika-based Solr Cell framework to ingest proprietary data formats, such as Word or...
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