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Apache Solr PHP Integration

You're reading from  Apache Solr PHP Integration

Product type Book
Published in Nov 2013
Publisher Packt
ISBN-13 9781782164920
Pages 118 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Jayant Kumar Jayant Kumar
Profile icon Jayant Kumar
LinkedIn
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.
See other products by Jayant Kumar

Table of Contents (15) Chapters

Apache Solr PHP Integration
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Installing and Integrating Solr and PHP 2. Inserting, Updating, and Deleting Documents from Solr 3. Select Query on Solr and Query Modes (DisMax/eDisMax) 4. Advanced Queries – Filter Queries and Faceting 5. Highlighting Results Using PHP and Solr 6. Debug and Stats Component 7. Spell Check in Solr 8. Advanced Solr – Grouping, the MoreLikeThis Query, and Distributed Search Index

Chapter 8. Advanced Solr – Grouping, the MoreLikeThis Query, and Distributed Search

In this chapter we will look at some of the advanced concepts of Solr. We will look at grouping results based on certain criteria. We will also look at finding results similar to a particular document based on some terms within the document. We will explore distributed search that can be used to horizontally scale the Solr search infrastructure. Topics that will be covered in this chapter are

  • Grouping results by field

  • Grouping results by query

  • Running morelikethis query using PHP

  • Tuning parameters of morelikethis query

  • Distributed search

  • Setting up distributed search

  • Executing distributed search using PHP

  • Setting up Solr master-slave

  • Load balancing Solr queries using PHP

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Authors (1)

Profile icon Jayant Kumar
LinkedIn
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.
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See other products by Jayant Kumar

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