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Apache Solr Search Patterns

You're reading from   Apache Solr Search Patterns Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783981847
Length 316 pages
Edition 1st Edition
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Author (1):
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Jayant Kumar Jayant Kumar
Author Profile Icon Jayant Kumar
Jayant Kumar
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Table of Contents (17) Chapters Close

Apache Solr Search Patterns
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Solr Indexing Internals FREE CHAPTER 2. Customizing the Solr Scoring Algorithm 3. Solr Internals and Custom Queries 4. Solr for Big Data 5. Solr in E-commerce 6. Solr for Spatial Search 7. Using Solr in an Advertising System 8. AJAX Solr 9. SolrCloud 10. Text Tagging with Lucene FST Index

Graphs for analytics


Once we know which queries to execute for getting the facets and hierarchical information, we need a graphical representation of the same. There are a few open source graph engines, mostly JavaScript based, that can be used for this. Most of these engines take JSON data and use it to display the graphs. Let us see some of the engines:

  • chart.js: This is an HTML5 based graph engine. It can be downloaded from http://www.chartjs.org.

  • D3.js: This is another JavaScript library that brings data to life using HTML and CSS. D3 can be used to generate an HTML table from an array of numbers or the same numbers can be used to draw an interactive bar chart. It is available for download at http://d3js.org.

  • Google charts: This is another library provided by Google. It can be used to draw graphs based on data from Solr. Google charts provide a large range of graphs from simple line charts to complex hierarchical tree maps. Most of the charts are ready to use. Google charts can be downloaded...

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