RAMDirectory indexStore = new RAMDirectory();
IndexWriter writer = new IndexWriter(indexStore, new SimpleAnalyzer(), true);
Document doc1 = new Document();
Document doc2 = new Document();
Document doc3 = new Document();
Document doc4 = new Document();
Document doc5 = new Document();
doc1.add(new Field("body", "blueberry pie", Field.Store.YES, Field.Index.TOKENIZED));
doc2.add(new Field("body", "blueberry strudel", Field.Store.YES, Field.Index.TOKENIZED));
doc3.add(new Field("body", "blueberry pizza", Field.Store.YES, Field.Index.TOKENIZED));
doc4.add(new Field("body", "blueberry chewing gum", Field.Store.YES, Field.Index.TOKENIZED));
doc5.add(new Field("body", "piccadilly circus", Field.Store.YES, Field.Index.TOKENIZED));
writer.addDocument(doc1);
writer.addDocument(doc2);
writer.addDocument(doc3);
writer.addDocument(doc4);
writer.addDocument(doc5);
writer.optimize();
writer.close();
IndexSearcher searcher = new IndexSearcher(indexStore);
PhrasePrefixQuery query1 = new PhrasePrefixQuery();
PhrasePrefixQuery query2 = new PhrasePrefixQuery();
query1.add(new Term("body", "blueberry"));
query2.add(new Term("body", "strawberry"));
LinkedList termsWithPrefix = new LinkedList();
IndexReader ir = IndexReader.open(indexStore);
// this TermEnum gives "piccadilly", "pie" and "pizza".
String prefix = "pi";
TermEnum te = ir.terms(new Term("body", prefix + "*"));
do {
if (te.term().text().startsWith(prefix))
{
termsWithPrefix.add(te.term());
}
} while (te.next());
query1.add((Term[])termsWithPrefix.toArray(new Term[0]));
query2.add((Term[])termsWithPrefix.toArray(new Term[0]));
Hits result;
result = searcher.search(query1);
assertEquals(2, result.length());
result = searcher.search(query2);
assertEquals(0, result.length());
