Apache Solr 3 Enterprise Search Server

Apache Solr 3 Enterprise Search Server

David Smiley, Eric Pugh

Enhance your seek with faceted navigation, outcome highlighting, relevancy ranked sorting, and more

  • Comprehensive info on Apache Solr three with examples and advice so that you can concentrate on the $64000 parts
  • Integration examples with databases, web-crawlers, XSLT, Java and embedded-Solr, Hypertext Preprocessor and Drupal, JavaScript, Ruby frameworks
  • Advice on facts modeling, deployment concerns to incorporate safety, logging, and tracking, and recommendation on scaling Solr and measuring performance
  • An replace of the best-selling identify on Solr 1.4

In Detail

If you're a developer construction an app this day then you definitely understand how very important an outstanding seek event is. Apache Solr, equipped on Apache Lucene, is a wildly renowned open resource firm seek server that simply grants strong seek and faceted navigation positive aspects which are elusive with databases. Solr helps complicated seek standards, faceting, outcome highlighting, query-completion, question spell-check, relevancy tuning, and more.

Apache Solr three company seek Server is a complete reference advisor for each characteristic Solr has to supply. It serves the reader correct from initiation to improvement to deployment. It additionally comes with whole operating examples to illustrate its use and exhibit the best way to combine Solr with different languages and frameworks.

Through utilizing a wide set of metadata approximately artists, releases, and tracks courtesy of the MusicBrainz.org undertaking, you may have a checking out floor for Solr, and should how you can import this information in numerous methods. you are going to then how you can seek this information in several methods, together with Solr's wealthy question syntax and "boosting" fit ratings in line with list data.

Finally, we will hide a number of deployment concerns to incorporate indexing thoughts and performance-oriented configuration that may make it easier to scale Solr to satisfy the desires of a high-volume site.

What you'll research from this book

  • Design a schema to incorporate textual content indexing info like tokenization, stemming, and synonyms
  • Import info utilizing a variety of codecs like CSV, XML, and from databases, and extract textual content from universal rfile formats
  • Search utilizing Solr's wealthy question syntax, practice geospatial searches, and impression relevancy order
  • Enhance seek effects with faceting, question spell-checking, auto-completing queries, highlighted seek effects, and more
  • Integrate a bunch of applied sciences with Solr from the server aspect to client-side JavaScript, to frameworks like Drupal
  • Scale Solr by means of studying the right way to music it and the way to exploit replication and sharding


The e-book is written as a reference consultant. It comprises absolutely operating examples in accordance with a true- international public info set.

Who this publication is written for

This booklet is for builders who are looking to easy methods to use Apache Solr of their functions. purely easy programming talents are needed.

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