Ich würde beim Indizieren einen SynonymFilter für den firstName verwenden, damit Sie alle möglichen Kombinationen haben (Bob -> Robert, Robert -> Bob usw.). Indexieren Sie Ihre vorhandenen Benutzer.
Verwenden Sie dann den QueryParser (ohne den SynonymFilter im Analysator), um einige unscharfe Abfragen zu stellen.
Dies ist der Code, den ich mir ausgedacht habe:
public class NameDuplicateTests {
private Analyzer analyzer;
private IndexSearcher searcher;
private IndexReader reader;
private QueryParser qp;
private final static Multimap<String, String> firstNameSynonyms;
static {
firstNameSynonyms = HashMultimap.create();
List<String> robertSynonyms = ImmutableList.of("Bob", "Bobby", "Robert");
for (String name: robertSynonyms) {
firstNameSynonyms.putAll(name, robertSynonyms);
}
List<String> willSynonyms = ImmutableList.of("William", "Will", "Bill", "Billy");
for (String name: willSynonyms) {
firstNameSynonyms.putAll(name, willSynonyms);
}
}
public static Analyzer createAnalyzer() {
return new Analyzer() {
@Override
public TokenStream tokenStream(String fieldName, Reader reader) {
TokenStream tokenizer = new WhitespaceTokenizer(reader);
if (fieldName.equals("firstName")) {
tokenizer = new SynonymFilter(tokenizer, new SynonymEngine() {
@Override
public String[] getSynonyms(String s) throws IOException {
return firstNameSynonyms.get(s).toArray(new String[0]);
}
});
}
return tokenizer;
}
};
}
@Before
public void setUp() throws Exception {
Directory dir = new RAMDirectory();
analyzer = createAnalyzer();
IndexWriter writer = new IndexWriter(dir, analyzer, IndexWriter.MaxFieldLength.UNLIMITED);
ImmutableList<String> firstNames = ImmutableList.of("William", "Robert", "Bobby", "Will", "Anton");
ImmutableList<String> lastNames = ImmutableList.of("Robert", "Williams", "Mayor", "Bob", "FunkyMother");
for (int id = 0; id < firstNames.size(); id++) {
Document doc = new Document();
doc.add(new Field("id", String.valueOf(id), Field.Store.YES, Field.Index.NOT_ANALYZED));
doc.add(new Field("firstName", firstNames.get(id), Field.Store.YES, Field.Index.ANALYZED));
doc.add(new Field("lastName", lastNames.get(id), Field.Store.YES, Field.Index.NOT_ANALYZED));
writer.addDocument(doc);
}
writer.close();
qp = new QueryParser(Version.LUCENE_30, "firstName", new WhitespaceAnalyzer());
searcher = new IndexSearcher(dir);
reader = searcher.getIndexReader();
}
@After
public void tearDown() throws Exception {
searcher.close();
}
@Test
public void testNameFilter() throws Exception {
search("+firstName:Bob +lastName:Williams");
search("+firstName:Bob +lastName:Wolliam~");
}
private void search(String query) throws ParseException, IOException {
Query q = qp.parse(query);
System.out.println(q);
TopDocs res = searcher.search(q, 3);
for (ScoreDoc sd: res.scoreDocs) {
Document doc = reader.document(sd.doc);
System.out.println("Found " + doc.get("firstName") + " " + doc.get("lastName"));
}
}
}
Was ergibt:
+firstName:Bob +lastName:Williams
Found Robert Williams
+firstName:Bob +lastName:wolliam~0.5
Found Robert Williams
Hoffe das hilft!