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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

Integration with client technologies


The typical IT landscape of any large-size organization comprises many different technologies. Apache Solr provides excellent ways to gather information from different types of sources; however, the business may demand integrating Apache Solr with non-J2EE-based technology. Although there are various technologies available in the market, the placement of an Apache Solr-like enterprise search engine in the broader picture of the organization's IT topology is always targeted for specific areas. This area is nothing but the end user web portals. Search engines are designed to provide information to end users, and they are expected to respond as fast as they can. Since they do not provide anything else beyond search, they always go in embedded mode with the applications. These applications mainly use various web-based technologies. In the previous section, we saw how Apache Solr can be used with different Java- and J2EE-based technologies and different integration...

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