我有一个UUID字段我按以下格式添加到我的文档中:372d325c-e01b-432f-98bd-bc4c949f15b8。但是,当我尝试通过UUID查询文档时,无论我如何尝试转义表达式,它都不会返回它们。例如:
+uuid:372d325c-e01b-432f-98bd-bc4c949f15b8
+uuid:"372d325c-e01b-432f-98bd-bc4c949f15b8"
+uuid:372d325c\-e01b\-432f\-98bd\-bc4c949f15b8
+uuid:(372d325c-e01b-432f-98bd-bc4c949f15b8)
+uuid:("372d325c-e01b-432f-98bd-bc4c949f15b8")
甚至使用TermQuery完全跳过QueryParser:
new TermQuery(new Term("uuid", uuid.toString()))
或者
new TermQuery(new Term("uuid", QueryParser.escape(uuid.toString())))
这些搜索都不会返回文档,但如果我搜索部分UUID,它将返回一个文档。例如,这些将返回一些内容:
+uuid:372d325c
+uuid:e01b
+uuid:432f
我应该怎么做才能索引这些文件,以便我可以通过他们的UUID将它们拉回来?我考虑过重新格式化UUID以删除连字符,但我还没有实现它。
答案 0 :(得分:2)
我使用它的唯一方法是使用WhitespaceAnalyzer而不是StandardAnalyzer。然后像这样使用TermQuery:
IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_36, new WhitespaceAnalyzer(Version.LUCENE_36))
.setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND);
writer = new IndexWriter( directory, config);
然后搜索:
TopDocs docs = searcher.search(new TermQuery(new Term("uuid", uuid.toString())), 1);
WhitespaceAnalyzer阻止Lucene用连字符拆分UUID。另一种选择可能是消除UUID中的破折号,但使用WhitespaceAnalyzer也可以用于我的目的。
答案 1 :(得分:0)
根据Lucene Query Syntax rules,查询
+uuid:372d325c\-e01b\-432f\-98bd\-bc4c949f15b8
应该有用。
我想如果不这样做,那是因为当文档插入索引时,不会填充uuid
字段。你能确定这个领域究竟插入了什么吗?您可以使用Luke抓取索引并查找为uuid
字段存储的实际值。
答案 2 :(得分:0)
如果您计划将UUID字段作为查找键,则需要让Lucene将整个字段索引为单个字符串,而不进行标记化。这是通过为UUID字段设置正确的FieldType来完成的。在Lucene 4+中,您可以使用StringField。
import java.io.IOException;
import java.util.UUID;
import junit.framework.Assert;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.StringField;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.queryparser.classic.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.util.Version;
import org.junit.Test;
/**
* Using Lucene 4.7 on Java 7.
*/
public class LuceneUUIDFieldLookupTest {
private Directory directory;
private Analyzer analyzer;
@Test
public void testUsingUUIDAsLookupKey() throws IOException, ParseException {
directory = new RAMDirectory();
analyzer = new StandardAnalyzer(Version.LUCENE_47);
UUID docUUID = UUID.randomUUID();
String docContentText1 = "Stack Overflow is a question and answer site for professional and enthusiast programmers.";
index(docUUID, docContentText1);
QueryParser parser = new QueryParser(Version.LUCENE_47, MyIndexedFields.DOC_TEXT_FIELD.name(), analyzer);
Query queryForProgrammer = parser.parse("programmers");
IndexSearcher indexSearcher = getIndexSearcher();
TopDocs hits = indexSearcher.search(queryForProgrammer, Integer.MAX_VALUE);
Assert.assertTrue(hits.scoreDocs.length == 1);
Integer internalDocId1 = hits.scoreDocs[0].doc;
Document docRetrieved1 = indexSearcher.doc(internalDocId1);
indexSearcher.getIndexReader().close();
String docText1 = docRetrieved1.get(MyIndexedFields.DOC_TEXT_FIELD.name());
Assert.assertEquals(docText1, docContentText1);
String docContentText2 = "TechCrunch is a leading technology media property, dedicated to ... according to a new report from the Wall Street Journal confirmed by Google to TechCrunch.";
reindex(docUUID, docContentText2);
Query queryForTechCrunch = parser.parse("technology");
indexSearcher = getIndexSearcher(); //you must reopen directory because the previous IndexSearcher only sees a snapshoted directory.
hits = indexSearcher.search(queryForTechCrunch, Integer.MAX_VALUE);
Assert.assertTrue(hits.scoreDocs.length == 1);
Integer internalDocId2 = hits.scoreDocs[0].doc;
Document docRetrieved2 = indexSearcher.doc(internalDocId2);
indexSearcher.getIndexReader().close();
String docText2 = docRetrieved2.get(MyIndexedFields.DOC_TEXT_FIELD.name());
Assert.assertEquals(docText2, docContentText2);
}
private void reindex(UUID myUUID, String docContentText) throws IOException {
try (IndexWriter indexWriter = new IndexWriter(directory, getIndexWriterConfig())) {
Term term = new Term(MyIndexedFields.MY_UUID_FIELD.name(), myUUID.toString());
indexWriter.updateDocument(term, buildDoc(myUUID, docContentText));
}//auto-close
}
private void index(UUID myUUID, String docContentText) throws IOException {
try (IndexWriter indexWriter = new IndexWriter(directory, getIndexWriterConfig())) {
indexWriter.addDocument(buildDoc(myUUID, docContentText));
}//auto-close
}
private IndexWriterConfig getIndexWriterConfig() {
return new IndexWriterConfig(Version.LUCENE_47, analyzer).setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND);
}
private Document buildDoc(UUID myUUID, String docContentText) {
Document doc = new Document();
doc.add(new Field(
MyIndexedFields.MY_UUID_FIELD.name(),
myUUID.toString(),
StringField.TYPE_STORED));//use TYPE_STORED if you want to read it back in search result.
doc.add(new Field(
MyIndexedFields.DOC_TEXT_FIELD.name(),
docContentText,
TextField.TYPE_STORED));
return doc;
}
private IndexSearcher getIndexSearcher() throws IOException {
DirectoryReader ireader = DirectoryReader.open(directory);
IndexSearcher indexSearcher = new IndexSearcher(ireader);
return indexSearcher;
}
enum MyIndexedFields {
MY_UUID_FIELD,
DOC_TEXT_FIELD
}
}