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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

Understanding SolrJ

Apache Solr is a web application; it can be used directly by its customers to search. The search interface can be modified and enhanced to work as an end user search tool to search in an enterprise. Solr clients can directly access Solr URL through HTTP to search and read data through various formats such as JSON and XML. Moreover, Apache Solr also allows administration through these HTTP-based services. Queries are executed by generating the URL that Solr will understand.

SolrJ is a tool that can be used by your Java-based application to connect to Apache Solr for indexing. SolrJ provides Java wrappers and adaptors to communicate with Solr and translate its results to Java objects. Using SolrJ is much more convenient than using raw HTTP and JSON. Internally, SolrJ uses Apache HttpClient to send HTTP requests. It provides a user-friendly interface, hiding connection details from the consumer application. Using SolrJ, you can index your documents and perform your queries...

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