lucene QueryParser用法示例

package demo.first;
import java.io.IOException;
import java.util.Date;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.CorruptIndexException;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.Hits;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.Searcher;
import org.apache.lucene.store.LockObtainFailedException;
public class TestQueryParser {
public static void main(String[] args) throws CorruptIndexException, IOException {
String path = "D://workspace//fwk//lucenedemo//firstLuceneIndex";
TestQueryParser tqp = new TestQueryParser();
tqp.createIndex(path);
Searcher search = tqp.getSearcher(path);
System.out.println("#_2");
tqp.testTime(search, tqp.getQueryParser2());
System.out.println("#_1");
tqp.testTime(search, tqp.getQueryParser1());
System.out.println("#_3");
tqp.testTime(search, tqp.getQueryParser3());
System.out.println("#_4");
tqp.testTime(search, tqp.getQueryParser4());
System.out.println("#_5");
tqp.testTime(search, tqp.getQueryParser5());
System.out.println("#_6");
tqp.testTime(search, tqp.getQueryParser6());
System.out.println("#_7");
tqp.testTime(search, tqp.getQueryParser7());
}
public void testTime(Searcher search,Query query) throws IOException{
Date start = new Date();
Hits hits = search.search(query);
for (int i = 0; i < hits.length(); i++) {
System.out.println(hits.id(i));
System.out.println(hits.doc(i));
System.out.println(hits.score(i));
}
System.out.println("本次搜索用时：" + ((new Date()).getTime() - start.getTime()) + "毫秒");
}
public Searcher getSearcher(String path) throws CorruptIndexException, IOException{
return new IndexSearcher(path);
}
public Query getQueryParser1(){
//默认搜索字段
QueryParser queryParser = new QueryParser("content", new StandardAnalyzer());
try {
return queryParser.parse("搜索 - 擎");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public Query getQueryParser2(){
QueryParser queryParser = new QueryParser("content", new StandardAnalyzer());
try {
return queryParser.parse("欢迎");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public Query getQueryParser3(){
QueryParser queryParser = new QueryParser("content", new StandardAnalyzer());
try {
return queryParser.parse("搜索 and 擎");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public Query getQueryParser4(){
QueryParser queryParser = new QueryParser("content", new StandardAnalyzer());
try {
//content字段搜索索引 title字段搜寻你好
return queryParser.parse("索引 title:你好");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public Query getQueryParser5(){
QueryParser queryParser = new QueryParser("content", new StandardAnalyzer());
//允许使用正则表达式方式
queryParser.setAllowLeadingWildcard(true);
try {
return queryParser.parse("*索*");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
/**
* 采用标准分词器StandardAnalyzer会在创建索引的时候把存入的英文全部换成小写放在索引中查询的时候也会将查询的关键词转为小写进行查询
* @return
*/
public Query getQueryParser6(){
QueryParser queryParser = new QueryParser("testCapital", new StandardAnalyzer());
try {
return queryParser.parse("hellOwangzi");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
/**
* 采用标准分词器StandardAnalyzer会在创建索引的时候把存入的and or等关键字过滤掉所以在查询的时候怎么也查不到
* @return
*/
public Query getQueryParser7(){
QueryParser queryParser = new QueryParser("testAndOr", new StandardAnalyzer());
try {
//return queryParser.parse("and");
return queryParser.parse("test");
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
/**
* 创建索引
* @param path
*/
public void createIndex(String path){
try {
IndexWriter writer = new IndexWriter(path,new StandardAnalyzer(),true);
Document docA = new Document();
//相当于数据库中列的概念，因此第一个参数是列名，第二个参数是列的值，最后两个参数是enum类型的(JDK1.5)，对创建的索引的设置
//Field.Store 是否覆盖原来的索引文件，而不是重新建一个
Field fieldA = new Field("content","搜索引擎",Field.Store.YES,Field.Index.TOKENIZED);
//我们把列(fieldA)加到某一行(docA)中
docA.add(fieldA);
docA.add(new Field("title","你好中国",Field.Store.YES,Field.Index.TOKENIZED));
docA.add(new Field("content","欢迎你llying",Field.Store.YES,Field.Index.TOKENIZED));
docA.add(new Field("lastModifyTime","2008-9-17",Field.Store.YES,Field.Index.TOKENIZED));
docA.add(new Field("testCapital","HelloWangzi",Field.Store.YES,Field.Index.TOKENIZED));
docA.add(new Field("testAndOr","test and",Field.Store.YES,Field.Index.TOKENIZED));
Document docB = new Document();
//相当于数据库中列的概念，因此第一个参数是列名，第二个参数是列的值，最后两个参数是enum类型的(JDK1.5)，对创建的索引的设置
Field fieldB = new Field("content","创建索引",Field.Store.YES,Field.Index.TOKENIZED);
//我们把列(fieldA)加到某一行(docA)中
docB.add(fieldB);
docB.add(new Field("title","你好世界",Field.Store.YES,Field.Index.TOKENIZED));
docB.add(new Field("content","欢迎加入jee高级开发群46176507",Field.Store.YES,Field.Index.TOKENIZED));
docB.add(new Field("lastModifyTime","2008-9-6",Field.Store.YES,Field.Index.TOKENIZED));
docB.add(new Field("testCapital","hellowangZi",Field.Store.YES,Field.Index.TOKENIZED));
docB.add(new Field("testAndOr","test or",Field.Store.YES,Field.Index.TOKENIZED));
writer.addDocument(docA);
writer.addDocument(docB);
//如果对海量数据进行创建索引的时候，需要对索引进行优化，以便提高速度
writer.optimize();
//跟数据库类似，打开一个连接，使用完后，要关闭它
writer.close();
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (LockObtainFailedException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}

lucene QueryParser用法示例

猜你喜欢