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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

solrconfig.xml

The Configuring the Apache Solr for enterprise section of Chapter 2, Getting Started with Apache Solr, of this book explains solrconfig.xml in detail. We will look at the sample configuration in this section for log management. In the Solr configuration, the interesting part will be the introduction of facets. For log management, you may consider the following facets to make the overall browsing experience interesting:

Facet

Description

Timeline-based

With this facet, users will be able to effectively filter their search based on the time. For example, options such as the past 1 hour and the past 1 week.

Levels of log

Levels of log provide you the severity. For example, SEVERE, ERROR, and Information.

Host

Since this system provides a common search for multiple machines, this facet can provide filtering criteria if an administrator is looking for something specific.

User

If the administrator knows about the user, extracting user information from the log can add better...

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