#APACHE LUCENE SEARCH EXAMPLE SOFTWARE#
#APACHE LUCENE SEARCH EXAMPLE CODE#
#APACHE LUCENE SEARCH EXAMPLE DOWNLOAD#

The data we can obtain from any data source such as a database or a file. In order to build an index, we must first provide the data, and then we can use the Lucene.NET API to index. Because our example data-set is small, we will be storing our index in RAM.Īfter which, we create a config to store our IndexWriter settings using our existing stored version and directory.įinally, we can initialize our IndexWriter to begin creating our index. For a more permanent solution and also for larger datasets, you would need to use the filesystem to store the index. However, we would add the increased overhead of having to re-index and store the results in memory every time we start the program. Storing the index in RAM will make search results lightning fast. We now must make a choice - as to where to store the index - between the RAM or the local filesystem. However, more information can be found here to help choose the analyzer to fit your specific use case. For sake of time, demonstrating all the existing analyzers is outside the scope of this article. There are a variety of analyzers depending on your need. That analyzer will parse, tokenize, and analyze the data we want indexed to store it in a format so we can quickly retrieve it later. We use the stored Lucene version when initializing a new analyzer. We then can use this constant when initializing the rest of the indexing and searching classes. Writer = new IndexWriter(Directory, config) īecause of the ongoing development status of the Lucene.NET project, we need to store the Lucene Version within an enum that our indexer and searcher will use. Var config = new IndexWriterConfig(lv, a) In order to configure an index with Lucene.NET, we are going to add a new index method with some configuration code: const LuceneVersion lv = LuceneVersion.LUCENE_48 I t will be easier to follow along with the article’s content.

#APACHE LUCENE SEARCH EXAMPLE CODE#

Now let’s use what we just installed! Configure An Indexīefore we start, we strongly recommend downloading the source code for this article. If you want to add any of the other extended features, you can select and add any of the other Lucene.NET packages in the same way. We will also do the same thing for the and packages.

#APACHE LUCENE SEARCH EXAMPLE SOFTWARE#

Then let’s search for Lucene.NET, and select the Lucene.Net by The Apache Software Foundation result. The pre-release version is the latest and most stable version currently. Once the package manager is open, we should select the “Include prerelease” checkbox. We can use Visual Studio’s built-in NuGet Package Manager to add the latest version of Lucene.NET to our project. NET framework allows us to create a modern search experience that is both easy to create and use. In addition to the incredibly fast indexing and searching functionality, Lucene.NET also supports a myriad of packages that add convenient features (i.e. Lucene.NET is a library that provides robust index and search capabilities that allow us to create our own search engine. Lucene.NET is a C# port of the original Java Lucene Search API.

#APACHE LUCENE SEARCH EXAMPLE DOWNLOAD#

To download the source code for this article, you can visit our GitHub repository.

Apache lucene search example