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Scaling Apache Solr

You're reading from   Scaling Apache Solr Optimize your searches using high-performance enterprise search repositories with Apache Solr

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (13) Chapters Close

Preface 1. Understanding Apache Solr FREE CHAPTER 2. Getting Started with Apache Solr 3. Analyzing Data with Apache Solr 4. Designing Enterprise Search 5. Integrating Apache Solr 6. Distributed Search Using Apache Solr 7. Scaling Solr through Sharding, Fault Tolerance, and Integration 8. Scaling Solr through High Performance 9. Solr and Cloud Computing 10. Scaling Solr Capabilities with Big Data A. Sample Configuration for Apache Solr Index

Configuring the Apache Solr for enterprise

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

  • Defining a Solr schema
  • Configuring Solr parameters

Let's look at all these steps to understand the configuration of Apache Solr.

Defining a Solr schema

In an enterprise, the data is generated from all the software systems that are participating in the day-to day-operation. This data has different formats, and bringing in this data for Big Data processing requires a storage system that is flexible enough to accommodate data with varying data models. Traditional relational databases allow users to define a strict data structure and SQL-based querying mechanism.

Rather than confining users to define the data structures, NOSQL databases allow an open database with which they can store any kind of data and retrieve it by running queries that are not based on the SQL syntax. By its design, the NOSQL database is best suited...

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