应用lucene.net进行搜索测试-.NET教程,Asp.Net开发

经过上篇我们已经对59部小说文本建立了索引,详情可见http://www.cnblogs.com/abob/archive/2006/08/26/487140.html
 1: 搜索关键字 using system;
using system.collections.generic;
using system.text;
using system.io;
using lucene.net.analysis;
using lucene.net.documents;
using lucene.net.index;
using lucene.net.queryparsers;
using lucene.net.search;
using lucene.net.analysis.cn;

namespace searchtest
{
    class searchtest
    {
        private indexsearcher searcher = null;
        private analyzer analyser = null;

        public searchtest()
        {
            analyser = new chineseanalyzer();
            searcher = new indexsearcher(indexreader.open(“c:\\index”));
        }

        public hits search(string querystring, string field)
        {
            if (searcher != null)
            {
                try
                {
                    queryparser parser = new queryparser(field,analyser);
                    parser.setoperator(queryparser.default_operator_and);
                    query query = parser.parse(querystring);
                    return searcher.search(query);
                }
                catch { }
            }
            return null;
        }

        static void main(string[] args)
        {
            searchtest searcher = new searchtest();
            datetime start = datetime.now;
            hits h = searcher.search(“中国”, “content”);
            datetime end = datetime.now;
            long time = end.ticks – start.ticks;
            console.writeline(“总共耗时：{0}毫秒”,convert.tostring(time));
            console.writeline(“总共找到{0}个文件”,h.length());
        }
    }
}

由于搜索是一种注重效率的行为,因此将其构建成一个轻量级的对象能节省不少内存和时间上的开销.在上面的代码中,内置了一个indexsearcher对象,并调用其search方法来检索.
在代码最后的main函数中,输入了关键字”中国”,搜索的结果是

 总共耗时：1406250毫秒
总共找到22个文件
请按任意键继续. . .

2:下面为了性能上的提高,我们来用多线程进行搜索
using system;
using system.collections.generic;
using system.text;
using lucene.net.analysis.cn;
using lucene.net.index;
using lucene.net.queryparsers;
using lucene.net.search;
using system.threading;

namespace muiltisearch
{
    class multisearch
    {

        static void main(string[] args)
        {
            for (int i = 0; i < 50; i++)
            {
                searchthread s = new searchthread();
                thread thread=new thread(s.run);
                thread.start();
            }
        }

        }

   public  class searchthread
   {
        public void run()
        {
            thread.sleep(10);
            indexsearcher searcher = new indexsearcher(indexreader.open(“c:\\index”));
            queryparser parser = new queryparser(“content”, new chineseanalyzer());
            parser.setoperator(queryparser.default_operator_and);
            query query = parser.parse(“中国”);
            datetime start = datetime.now;

            hits h = searcher.search(query);

            datetime end = datetime.now;
            long time = start.ticks – end.ticks;

            console.writeline(“用时{0}毫秒”, time);
        }
    }
}