Lucene provides a highly configurable hybrid form of search that combines exact boolean searches with softer, more relevance-ranking-oriented vector-space search methods.
All searches are field specific because Lucene indexes terms and a term is composed of a field name and a token. In this section, we will see a step-by-step example that shows document indexing and searching with Apache Lucene. At first select the index directory where the indexer will be saved and then select the data directory as follows:. Now select the suffix of the files that you intend to search after indexed:.
Since we will be searching the files with extension say "java", so call the Lucene File Indexer as follows:. As the above code create the index and write in the index directory that we have selected above of course after applying a simple analysis suing the SimpleAnalyzer method.
Finally, the method returns the number of the files that have been indexed. As if you see carefully, the indexDirectory method takes 3 parameters: the index writer that writes the index by analyzing the files having the extension.
The indexDirectory method goes as follows:. According to the above code segment, the indexer indexes either all the files inside a sub-directory or all the files in the data directory using the indexFileWithIndexWriter method that goes as follows:.
After successful indexing, you should observe the following output:. In this step, we will search all the name of the files that we indexed in the previous step. The workflow for this step goes as follows:. Technically, these five steps can be performed using the following code segment:. Here, searchIndex is a user-defined method that actually searches the file searching that goes as follows:.
This method searches the files and prints the names of the files. For the sample data directory, you can download the Apache Lucene distribution version 6. On successful execution of the above method, you should observe the output as follows:. In this article, I tried to cover some essential features of Lucene.
Putting the above code fragments together into a full application is left as an exercise to the reader. Nevertheless, if this does not work, readers can download the source code, a sample data folder, and the maven friendly pom. XML file from my GitHub repository here. Thanks for visiting DZone today,. Edit Profile. Sign Out View Profile. Over 2 million developers have joined DZone. Searching and Indexing With Apache Lucene.
Apache Lucene's indexing and searching capabilities make it attractive for any number of uses—development or academic. See an example of how the search engine works. Rezaul Karim. Like 8. Join the DZone community and get the full member experience.
Join For Free. Apache Lucene Features Lucene offers powerful features like scalable and high-performance indexing of the documents and search capability through a simple API. Incremental indexing as fast as batch indexing. Supports many powerful query types: phrase queries, wildcard queries, proximity queries, range queries and more.
Provides fielded searching e. The SlideShare family just got bigger. Home Explore Login Signup. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads.
You can change your ad preferences anytime. Berlin Buzzwords - How does lucene store your data? Upcoming SlideShare. Like this presentation? Why not share! What is in a Lucene index?
Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Next SlideShares. Adrien Grand Follow. Lucene basics. Apache Lucene intro - Breizhcamp What to Upload to SlideShare. In the case of a title Field, the field name is title and the value is the title of that content item. Indexing in Lucene thus involves creating Documents comprising of one or more Fields, and adding these Documents to an IndexWriter. Searching requires an index to have already been built.
Lucene has its own mini-language for performing searches. Read more about the Lucene Query Syntax. The Lucene query language allows the user to specify which field s to search on, which fields to give more weight to boosting , the ability to perform boolean queries AND, OR, NOT and other functionality. Basic Concepts Lucene is a full-text search library in Java which makes it easy to add search functionality to an application or website.
Documents In Lucene, a Document is the unit of search and index.
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