![]() ![]() Gathering and representing the user’s input – While the likes of Google and Yahoo! mainly provide a simple text area for inputting keywords and phrases, search applications can “go beyond the box” and offer other input features that allow the user to build richer queries.Indexing Content – The process of adding content into the system such that it can be searched.While you can build a search application without this knowledge using Lucene, the following brief introduction to search concepts will allow you to better leverage Lucene, which will ultimately result in a better search application.Īt it’s most basic, a search application is responsible for four things: Search 101īefore getting started using Lucene, it is important to understand some fundamentals about how the search system works and how to make content findable. Lucene is used in numerous production and research systems, as evidenced by both the number of downloads and the number of users who have self-identified. After transitioning to the Apache Software Foundation in 2001, Lucene has seen a steady increase in contributions, committers, features, and adoption into applications. Lucene was originally created by Doug Cutting in 1997 and was made available on SourceForge in 2000. Lucene has been used in many different applications ranging from large scale Internet search with hundreds of millions of documents, to eCommerce store fronts serving large volumes of users, to embedded devices. ![]() ![]() Hello, LuceneĪpache Lucene is a Java-based, high-performance library that enables developers to easily add search capabilities to applications. In this article, Grant Ingersoll, Lucene committer and the creator of the Lucene Boot Camp training program, walks you through the basic concepts of Lucene and shows you how to leverage the Lucene API to build full featured search capabilities for your next application. Apache Lucene is a fast, full-featured, full-text search library used in a large number of production environments. ![]()
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