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Apache Solr Search Patterns

More Information
Learn
  • Customize the Solr scoring algorithm to get better and more relevant search results
  • Use Solr with big data for analytical purposes
  • Get insights into Solr internals—indexing and search
  • Setting up and scaling with Solr cloud
  • Implement spatial search with Solr
  • Understand Finite State Transducers (FST) and implement text tagging using FST
  • Breeze through the strategies used in executing search using Solr in e-commerce, advertising, and real estate websites
  • Learn more about how to use Solr with AJAX
About

Apache Solr is an open source search platform built on a Java library called Lucene. It serves as a search platform for many websites, as it has the capability of indexing and searching multiple websites to fetch desired results.

We begin with a brief introduction of analyzers and tokenizers to understand the challenges associated with implementing large-scale indexing and multilingual search functionality. We then move on to working with custom queries and understanding how filters work internally. While doing so, we also create our own query language or Solr plugin that does proximity searches. Furthermore, we discuss how Solr can be used for real-time analytics and tackle problems faced during its implementation in e-commerce search. We then dive deep into the spatial features such as indexing strategies and search/filtering strategies for a spatial search. We also do an in-depth analysis of problems faced in an ad serving platform and how Solr can be used to solve these problems.

Features
  • Learn the best use cases for using Solr in e-commerce, advertising, real-estate, and other sites
  • Explore Solr internals and customize the scoring algorithm in Solr
  • This is an easy-to-follow book with a step-by-step approach to help you get the best out of Solr search patterns
Page Count 316
Course Length 9 hours 28 minutes
ISBN 9781783981847
Date Of Publication 23 Apr 2015

Authors

Jayant Kumar

Jayant Kumar is an experienced software professional with a bachelor of engineering degree in computer science and more than 14 years of experience in architecting and developing large-scale web applications.

Jayant is an expert on search technologies and PHP and has been working with Lucene and Solr for more than 11 years now. He is the key person responsible for introducing Lucene as a search engine on www.naukri.com, the most successful job portal in India.

Jayant is also the author of the book Apache Solr PHP Integration, Packt Publishing, which has been very successful.

Jayant has played many different important roles throughout his career, including software developer, team leader, project manager, and architect, but his primary focus has been on building scalable solutions on the Web. Currently, he is associated with the digital division of HT Media as the chief architect responsible for the job site www.shine.com.

Jayant is an avid blogger and his blog can be visited at http://jayant7k.blogspot.in. His LinkedIn profile is available at http://www.linkedin.com/in/jayantkumar.