lucene全文检索实现一个Term对应多个值来加实现集团化的数据权限

最新推荐文章于 2022-06-19 11:42:09 发布

转载最新推荐文章于 2022-06-19 11:42:09 发布 · 4.2k 阅读

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#全文检索 #lucene #query #import #string #class

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本文演示了如何使用Lucene实现布尔查询，通过创建索引、添加文档、构建查询和搜索来筛选特定条件下的文档。

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示例程序：
import java.io.IOException;

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.BooleanClause;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.Hits;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;

public class BoolenQuery {
public static void main(String args[]) throws IOException{
   IndexWriter writer=new IndexWriter("d:/index",new StandardAnalyzer(),true);
    writer.setUseCompoundFile(false);

    Document doc1=new Document();
    Document doc2=new Document();
    Document doc3=new Document();
    Document doc4=new Document();
    Document doc5=new Document();
    Document doc6=new Document();
    Document doc7=new Document();
    Document doc8=new Document();

    Field f1=new Field("bookname","钢铁是怎样炼成的",Field.Store.YES,Field.Index.TOKENIZED);
    Field f2=new Field("bookname","英雄儿女",Field.Store.YES,Field.Index.TOKENIZED);
    Field f3=new Field("bookname","篱笆女人和狗",Field.Store.YES,Field.Index.TOKENIZED);
    Field f4=new Field("bookname","女人是水做的",Field.Store.YES,Field.Index.TOKENIZED);
    Field f5=new Field("bookname","我的兄弟和女儿",Field.Store.YES,Field.Index.TOKENIZED);
    Field f6=new Field("bookname","白毛女",Field.Store.YES,Field.Index.TOKENIZED);
    Field f7=new Field("bookname","钢的世界",Field.Store.YES,Field.Index.TOKENIZED);
    Field f8=new Field("bookname","钢铁战士",Field.Store.YES,Field.Index.TOKENIZED);

    doc1.add(f1);
    doc2.add(f2);
    doc3.add(f3);
    doc4.add(f4);
    doc5.add(f5);
    doc6.add(f6);
    doc7.add(f7);
    doc8.add(f8);

    writer.addDocument(doc1);
    writer.addDocument(doc2);
    writer.addDocument(doc3);
    writer.addDocument(doc4);
    writer.addDocument(doc5);
    writer.addDocument(doc6);
    writer.addDocument(doc7);
    writer.addDocument(doc8);

    writer.close();

    IndexSearcher searcher=new IndexSearcher("d:/index");

    Term t1=new Term("bookname","狗");
    Term t2=new Term("bookname","女");
    TermQuery q1=new TermQuery(t1);
    TermQuery q2=new TermQuery(t2);

    BooleanQuery query=new BooleanQuery();
    query.add(q1,BooleanClause.Occur.MUST_NOT);
    query.add(q2,BooleanClause.Occur.MUST);
    Hits hits=searcher.search(query);
    for(int i=0;i<hits.length();i++){
     System.out.println(hits.doc(i));
    }

    Term t3=new Term("bookname","钢");
    Term t4=new Term("bookname","铁");
    TermQuery q3=new TermQuery(t3);
    TermQuery q4=new TermQuery(t4);
    query=new BooleanQuery();
    query.add(q3,BooleanClause.Occur.MUST);
    query.add(q4,BooleanClause.Occur.SHOULD);
    hits=searcher.search(query);
    for(int i=0;i<hits.length();i++){
     System.out.println(hits.doc(i));
    }
}
}

运行结果：

Document<stored/uncompressed,indexed,tokenized<bookname:英雄儿女>>
Document<stored/uncompressed,indexed,tokenized<bookname:白毛女>>
Document<stored/uncompressed,indexed,tokenized<bookname:女人是水做的>>
Document<stored/uncompressed,indexed,tokenized<bookname:我的兄弟和女儿>>
Document<stored/uncompressed,indexed,tokenized<bookname:钢铁战士>>
Document<stored/uncompressed,indexed,tokenized<bookname:钢铁是怎样炼成的>>
Document<stored/uncompressed,indexed,tokenized<bookname:钢的世界>>