Lucene 搜索二

Lucene分页搜索的实现：

package com.qianyan.lucene;

import java.io.IOException;

import org.apache.lucene.document.Document;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;

public class TestSeacher3 {

    public static void main(String[] args) throws IOException {
        String indexDir = "E:/luceneindex";
        Directory dir = FSDirectory.getDirectory(indexDir);
        IndexSearcher searcher = new IndexSearcher(dir);
        ScoreDoc[] hits = null;

        Term term = new Term("contents", "ontology");
        TermQuery query = new TermQuery(term);
        TopDocs topDocs = searcher.search(query, 126);
        int eachPageNumber = 10;    //每页显示记录数
        int pageNumber = 3;         //当前页
        hits = topDocs.scoreDocs;

        for(int i = (pageNumber - 1) * eachPageNumber; i < pageNumber * eachPageNumber; i++){
            Document doc = searcher.doc(hits[i].doc);
            System.out.print(hits[i].score);
            System.out.println(doc.get("contents"));
        }

        searcher.close();
        dir.close();
    }
}

搜索中使用RamDirectory：

package com.qianyan.lucene;

import java.io.IOException;

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.index.IndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;

public class TestRamSearch {

    Directory directory = new RAMDirectory();

    public void createRamIndex() throws IOException{
        String[] ids = {"1", "2", "3", "4"};
        String[] names = {"zhangsan", "lisi", "wangwu", "zhaoliu"};
        String[] addresses = {"shanghai", "beijing", "guangzhou", "nanjing"};
        String[] birthdays = {"19820720", "19840203", "19770409", "19830130"};
        Analyzer analyzer = new StandardAnalyzer();
        IndexWriter writer = new IndexWriter(directory, analyzer, true, IndexWriter.MaxFieldLength.LIMITED);
        for(int i = 0; i < ids.length; i++){
            Document document = new Document();
            document.add(new Field("id", ids[i], Field.Store.YES, Field.Index.ANALYZED));
            document.add(new Field("name", names[i], Field.Store.YES, Field.Index.ANALYZED));
            document.add(new Field("address", addresses[i], Field.Store.YES, Field.Index.ANALYZED));
            document.add(new Field("birthday", birthdays[i], Field.Store.YES, Field.Index.ANALYZED));
            writer.addDocument(document);
        }
        writer.optimize();
        writer.close();
    }

    public void searchRam() throws IOException{
        IndexSearcher searcher = new IndexSearcher(directory);
        ScoreDoc[] hits = null;

        Term term = new Term("name", "zhangsan");
        TermQuery query = new TermQuery(term);
        TopDocs topDocs = searcher.search(query, 126);

        hits = topDocs.scoreDocs;

        for(int i = 0; i < hits.length; i++){
            Document doc = searcher.doc(hits[i].doc);
            //System.out.println(hits[i].score);
            System.out.print(doc.get("id") + " ");
            System.out.print(doc.get("name") + " ");
            System.out.print(doc.get("address") + " ");
            System.out.println(doc.get("birthday") + " ");
        }

        searcher.close();
        directory.close();
    }

    public static void main(String[] args) throws IOException {
        TestRamSearch trs = new TestRamSearch();
        trs.createRamIndex();
        trs.searchRam();
    }
}

QueryParser的使用：

1、默认字段的检索

2、在指定字段中检索

3、在默认字段进行“或”检索

4、对默认字段进行“与”检索

5、AND NOT 的检索

6、默认字段中前缀检索

7、对短语进行检索

package com.qianyan.lucene;

import java.io.IOException;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.queryParser.ParseException;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocCollector;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;

public class TestQueryParser {

    public static void main(String[] args) throws IOException, ParseException {
        Analyzer analyzer = new StandardAnalyzer();
        String indexDir = "E:/luceneindex";
        Directory dir = FSDirectory.getDirectory(indexDir);
        IndexSearcher searcher = new IndexSearcher(dir);
        ScoreDoc[] hits = null;

        QueryParser parser = new QueryParser("address", analyzer);      //name为默认字段检索
        //Query query = parser.parse("address:resides in");         //支持短语搜索
        //Query query = parser.parse("birthday:[19820720 TO 19840203]"); //中括号包含首尾，花括号不包含。TO指范围
        //Query query = parser.parse("zhangsan~");  //前缀检索
        //Query query = parser.parse("shanghai beijing");   //"或"形式有三种：1、空格：shanghai beijing 3、or关键字：shanghai or beijing
        //Query query = parser.parse("shanghai and beijing");   //"与"形式有三种：1、+号：shanghai beijing 2、and关键字：shanghai and beijing
        //Query query = parser.parse("address:shanghai beijing AND NOT name:wangwu");   //AND NOT 不满足 ； "-"号也等于 AND NOT
        Query query = parser.parse("name:li*"); //前缀检索
        TopDocCollector topdoc = new TopDocCollector(100);

        searcher.search(query, topdoc);
        hits = topdoc.topDocs().scoreDocs;

        for(int i = 0; i < hits.length; i++){
            Document doc = searcher.doc(hits[i].doc);
            //System.out.println(hits[i].score);
            System.out.print(doc.get("id") + " ");
            System.out.print(doc.get("name") + " ");
            System.out.print(doc.get("address") + " ");
            System.out.println(doc.get("birthday") + " ");
        }

        searcher.close();
        dir.close();
    }
}