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    <p>No one gave a satisfactory answer, so we started poking around Lucene documentation and discovered we can accomplish this using custom Analyzers and Tokenizers.</p> <p>The answer is this: create a WhitespaceAndAtSymbolTokenizer and a WhitespaceAndAtSymbolAnalyzer, then recreate your index using this analyzer. Once you do this, a search for "@gmail.com" will return all gmail addresses, because it's seen as a separate word thanks to the Tokenizer we just created.</p> <p>Here's the source code, it's actually very simple:</p> <pre><code>class WhitespaceAndAtSymbolTokenizer : CharTokenizer { public WhitespaceAndAtSymbolTokenizer(TextReader input) : base(input) { } protected override bool IsTokenChar(char c) { // Make whitespace characters and the @ symbol be indicators of new words. return !(char.IsWhiteSpace(c) || c == '@'); } } internal class WhitespaceAndAtSymbolAnalyzer : Analyzer { public override TokenStream TokenStream(string fieldName, TextReader reader) { return new WhitespaceAndAtSymbolTokenizer(reader); } } </code></pre> <p>That's it! Now you just need to rebuild your index and do all searches using this new Analyzer. For example, to write documents to your index:</p> <pre><code>IndexWriter index = new IndexWriter(indexDirectory, new WhitespaceAndAtSymbolAnalyzer()); index.AddDocument(myDocument); </code></pre> <p>Performing searches should use the analyzer as well:</p> <pre><code>IndexSearcher searcher = new IndexSearcher(indexDirectory); Query query = new QueryParser("TheFieldNameToSearch", new WhitespaceAndAtSymbolAnalyzer()).Parse("@gmail.com"); Hits hits = query.Search(query); </code></pre>
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