Solr as your Search and Suggest Engine

Do you require a search and suggest engine that could scale up catering to millions of records? In this session, I shall render my past project experience of using Solr as a search engine delimiting what could you really expect out of Solr.

This case study shall focus on the following points:

  1. Why choose Solr as your search engine : What lured us to go for Solr
  2. Solr offers various configurations and components to build a Google style Suggestions engine – Elicit pros and limiting factors of these components and highlight when to use which component.
  3. Fuzzy Searching with Solr – I want to search ‘Karan’ but I type ‘Naran’ yet Solr finds it. – Analyse what fuzzy searching can do for you and to what extent should you stretch your engine’s fuzzy search quotient.
  4. Discuss Solr scaling topology – Point out what factors should you consider while scaling Solr
  5. Unit testing Solr code

Speaker:

Speaker At Java ConferenceKaran Nangru is a Senior Consultant at Xebia IT Architects. He is a J2EE practitioner and a RIA, Cloud Computing enthusiast. He writes articles and blogs on technology and agile, has been a cover page author twice for a renowned RIA magazine. Off late, he has been working on technologies such Gigaspaces, SOLR, JavaFX. He often speaks in conferences and knowledge sharing sessions on Technology and Agile.

Karan Nangru will be presenting on “Solr as your Search and Suggest Engine” at the 6th Annual IndicThreads.com Conference On Java to be held in Pune, India on 2,3 December 2011.Click here for a list of other Speakers & Sessions @ The Conference
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