Full Text Search in Ruby

Full text bet is a technique for expecting a document or database stored in the computer. A full text see railway locomotive examines all the spoken language, in every stored document, to hold fast a match of the keyword looked by the user. numerous web sites and application programs provide full-text essay capabilities. There are quite a few extracts when it comes to adding a full text try in a rubicund on Rails application. A choice trick be made on the basis of the language the search locomotive is written in or the scalability options worthy for the application.Acts As magnateed being a excellent Ruby implementation makes for a slam that is totally portable, and suitable for almost either application requiring full text search capabilities. Search queries support many stock(a) boolean operators, namely exclusion of a term through the use of - and the matching of phrases through the use of quotation marks. It is efficacious in case of a elemental site and have to implement a basic search very quickly. hunt is a full text search engine library written for rubicund implemented in a runway application by the Acts As hound plugin.It is inspired by the Apache Lucene coffee bean project. The prototypal step to implementing a search is to bewilder an list built and then the index is searched for the documents having the keyword. One of the more useful features in particular in a web scenario is play up the matched words. This is made trivial by Indexs highlight method. Its withal possible to use Ferret as a more general aim data store Xapian is written in C++ with bindings to allow use from Perl, Python, PHP, Java, Tcl, C and Ruby.An important feature of Xapian is the Ranked probabilistic search important words get more weight than unimportant words so more relevant results calculate at the top. It also supports Synonyms as an autoloading(prenominal) form of query expansion and eject even suggest spelling department of corre ctions for user supplied queries. Full range of unified boolean search operators (stock non market, etc). Sphinx, written in C++, is the most logical successor to Ultrasphinx, since some(prenominal) utilize Sphinx as the search innkeeper.Sphinx plant by reading information turn out of the database to build the search index. Communication with the Sphinx server occurs by sharing C objects everyplace sockets. A variety of text impact features enable fine-tuning Sphinx for application requirements, and a figure of speech of relevance functions ensures you can tweak search quality as well. sunspot is a Ruby library for expressive, powerful interaction with the Solr search engine. Sunspot uses Solr, a Java search server built on the Lucene search library.It provides robust, flexible full-text search with no boolean queries and no string programming. Solr servers can be clustered and since they manage the index, Sunspot can automatically update the indexes when the pretense ob jects change. Theres no need to run a cron job to reindex the data or setup delta indexing the like with Sphinx. Thus we see that Full text search has come a foresightful way since the early days of Ferret. The mutual exclusiveness of Ultrasphinx, once the most preferred, with Rails 3. resulted in the emergence of Sphinx and Sunspot as favourites. Solr is a compelling alternative to Sphinx, since the most ascendable Web apps (Facebook, Twitter) use Java bottomland the UI layer. Xapian can be considered as the best(p) option whenever ranked probabilistic search is required. Acts_As_Indexed, written entirely in Ruby, deeds out great and is very subdued to implement with automatic indexing. (ie No cron jobs inevitable to keep the index up to date).