ColdFusion & Lucene

Simon — Sun, 09 Apr 2006 22:54:09 +0000

One of the many reasons to use ColdFusion MX is that it has a large, standard toolset that enables the creation of full-featured, dynamic Web applications. The tag-based language makes it relatively simple to query a relational database and send e-mail. In a similar way, you can create and search Verity full-text indexes.

However, there are situations where you cannot use the full-text searching capabilities of Verity. For example, Verity only runs on Windows, Linux and Solaris, therefore the ability to run ColdFusion MX on the Apple OS X operating system, whilst advantageuos to developers who code on the Apple platform, does not include the ability to use Verity. Furthermore, programmers who work in a hybrid J2EE/ColdFusion MX environment cannot natively use the Verity search capabilities in the J2EE environment. Finally, programmers who need customized searching and indexing capabilities may find the standard Verity integration limiting. There are work-arounds include installing Verity on a Windows, Linux, or Solaris server and configuring your ColdFusion server to use the remote Verity server, however these may not only be impractical, but cost-prohibitative.

Enter Lucene, an open source full-text searching framework from the Apache Jakarta project, which, when combined with ColdFusion MX, can be run on Apple OS X, can be programmatically accessed by both J2EE and ColdFusion MX developers, and can be fully customized and extended.Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

Apache Lucene is an open source project available for free download.

Features

Lucene offers powerful features through a simple API.

Scalable, High-Performance Indexing

Over 20MB/minute on Pentium M 1.5GHz
Small RAM requirements — only 1MB heap
Incremental indexing as fast as batch indexing
Index size roughly 20-30% the size of text indexed

Powerful, Accurate and Efficient Search Algorithms

Ranked searching — best results returned first
Many powerful query types: phrase queries, wildcard queries, proximity queries, range queries and more
Fielded searching (e.g., title, author, contents)
Date-range searching
Sorting by any field
Multiple-index searching with merged results
Allows simultaneous update and searching

ColdFusion & Lucene Implementations

If you don’t fancy attempting the task of writing your own ColdFusion implementation of Lucene, below are a couple of projects that will give you a kick-start along the road to indexing database content. With the addition of other Java projects such as PDFBox the textual content of a pdf can also be extracted and indexed.

Aaron Johnson

Inspired by Lindex, Aaron Johnson has created a CFX Tag called CFX_Lucene that closely mimics the ColdFusion cfsearch tag, but uses Lucene rather than Verity.

http://cephas.net/blog/lucene/index.html

CFLucene

CFLucene is an open source project that attempts to provide developers an easy way to integrate the indexing and searching functions of the Apache Lucene Java library with a ColdFusion web application. The CFLucene is a collection of ColdFusion Components that natively call the Lucene Java classes to index and search any sort of textual data.

http://www.cflucene.org/

Simon Whatley » RAM

ColdFusion & Lucene

ColdFusion & Lucene Implementations

Aaron Johnson

CFLucene

Coldfusion MX Tuning

Macromedia

Sun

Brandon Purcell

Steven Erat

Peter Freitag

Daemon

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