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Scaling Big Data with Hadoop and Solr, Second Edition

You're reading from Scaling Big Data with Hadoop and Solr, Second Edition

Product type Book

Published in Apr 2015

Publisher

ISBN-13 9781783553396

Pages 166 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Hrishikesh Vijay Karambelkar

Table of Contents (13) Chapters

Scaling Big Data with Hadoop and Solr Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Processing Big Data Using Hadoop and MapReduce

2. Understanding Apache Solr

3. Enabling Distributed Search using Apache Solr

4. Big Data Search Using Hadoop and Its Ecosystem

5. Scaling Search Performance

Use Cases for Big Data Search

Index

Configuring Solr

Apache Solr allows extensive configuration to meet the needs of the consumer. Configuring the instance revolves around the following:

Defining a schema
Configuring Solr parameters

First, let's try and understand the Apache Solr structure, and then, look at all these steps to understand the configuration of Apache Solr.

Understanding the Solr structure

The Apache Solr home folder mainly contains the configuration and index-related data. These are the following major folders in the Solr collection:

Directory	Purpose
`conf/`	This folder contains all the configuration files of Apache Solr and is mandatory. Among them, `solrconfig.xml`, and `schema.xml` are important configuration files.
`data/`	This folder stores the data related to indexes generated by Solr. This is a default location for Solr to store this information. This location can be overridden by modifying `conf/solrconfig.xml`.
`lib/`	This folder is optional. If it exists, Solr will load any Jars found in this folder and...

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Authors (1)

Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.

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