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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

Empowering the Java Enterprise application with Solr search


Since Apache Solr is a J2EE-based WAR file, it can be easily integrated with any other application. We have already seen how Apache Solr can be used on different J2EE application containers such as Tomcat and Jetty. For the applications that are developed on the J2EE platform, Apache Solr can be used in the following ways in your existing J2EE applications. While many Solr implementations go for HTML APIs with an XML/JSON request-response model from the client, the approaches discussed in the latter part of the chapter highlight a tighter integration with Apache Solr. HTML-based integration of Apache Solr demands consumer application to send HTTP requests to the Solr server, and accept responses in the XML/JSON format.

Embedding Apache Solr as a module (web application) in an enterprise application

Application servers such as JBoss and Weblogic support Java EE-based projects and the packaging. A typical enterprise archive (.ear) file...

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