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Mastering Apache Solr 7.x

You're reading from Mastering Apache Solr 7.x

Product type Book

Published in Feb 2018

Publisher Packt

ISBN-13 9781788837385

Pages 308 pages

Edition 1st Edition

Languages

Concepts

Enterprise Search

Authors (3):

Sandeep Nair

Chintan Mehta

Dharmesh Vasoya

View More author details

Table of Contents (14) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Introduction to Solr 7

2. Getting Started

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

Index

Chapter 2. Getting Started

"Information is the oil of the 21st Century, and analytics is the combustion engine."

– Peter Sondergaard

Apache Solr is one tool that has some common features such as full-text search, facets-based search, clustering on demand, the ability to select highlighters, indexing on demand, database integration, geospatial searches, NoSQL features, fault tolerance, scaling on demand, and the ability to handle all sorts of documents (such as PDF, docx, ppt, and more). Solr finds its intense use in enterprise searches and huge analytics. Due to such powerful features, major players in the world such as Instagram, Netflix, NASA, and eBay are using Solr.

Solr runs as a standalone server with the option of having clusters as per demand. Internally, it makes use of the Lucene Java search library and has full support of REST like HTTP/XML and JSON APIs. This makes it possible to use most of the available programming languages even without Java coding. You feed Solr data over HTTP...

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Authors (3)

Sandeep Nair

Sandeep has been working in Liferay technology for more than 8 years and has more than 10 years' of overall experience in Java and Java EE technologies. He has executed projects using Liferay across various verticals such as construction, financial, and medical domains, providing solutions for collaboration, enterprise content management, and Web content Management systems. He has created a free and open source Google Chartlet plugin for Liferay which has been downloaded and used by people across 90 countries according to sourceforge statistics. Besides development, consulting, and implementing solutions he has also been involved in giving training on Liferay in other countries. Before he jumped into Liferay he had experience in Java and Java EE Technologies. He has authored "Liferay Beginner's Guide" and "Instant Liferay Portal 6 Starter" with Packt Publishing. When he is not coding, he loves to read books and travel.

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Chintan Mehta

Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for Big Data, Mastering Apache Solr 7.x, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions. Also, he has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.

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Dharmesh Vasoya

Dharmesh Vasoya is a Liferay 6.2 certified developer. He has 5.5 years of experience in application development with technologies such as Java, Liferay, Spring, Hibernate, Portlet, and JSF. He has successfully delivered projects in various domains, such as healthcare, collaboration, communication, and enterprise CMS, using Liferay. Dharmesh has good command of the configuration setup of servers such as Solr, Tomcat, JBOSS, and Apache Web Server. He has good experience of clustering, load balancing and performance tuning. He completed his MCA at Ahmedabad University.

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