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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

Client API overview


Solr comes with a bunch of REST APIs, which exposes its features such as query, index, delete, commit, and optimize; it also allows a web application to connect with Solr and perform any operation by calling these APIs. Solr has taken care of these REST APIs such that any web application developed in any programming language can connect to them. A REST API is developed based on the HTTP protocol; so a web application developed in any programming language, such as Java, .NET, Python, and Ruby, can easily connect to and call this API to perform various Solr operations. Using this API, a web application asks Solr to perform some operations, such as querying and indexing. Solr performs those operations and provides a response to the application. Solr also supports various response formats based on programming languages such as Java, JavaScript/JSON, Python, Ruby, PHP, and many more (we have seen this in Chapter 6, Advanced Queries – Part I). So it becomes very easy for any...

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