lucene java 实例

maven配置：

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.test</groupId>
    <artifactId>lucene-demo</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <lunece.version>6.1.0</lunece.version>
    </properties>

    <dependencies>
          <!-- lucene核心库 -->
            <dependency>
                <groupId>org.apache.lucene</groupId>
                <artifactId>lucene-core</artifactId>
                <version>${lunece.version}</version>
            </dependency> <!-- Lucene的查询解析器 -->
            <dependency>
                <groupId>org.apache.lucene</groupId>
                <artifactId>lucene-queryparser</artifactId>
                <version>${lunece.version}</version>
            </dependency> <!-- lucene的默认分词器库 -->
            <dependency>
                <groupId>org.apache.lucene</groupId>
                <artifactId>lucene-analyzers-common</artifactId>
                <version>${lunece.version}</version>
            </dependency> <!-- lucene的高亮显示 -->
            <dependency>
                <groupId>org.apache.lucene</groupId>
                <artifactId>lucene-highlighter</artifactId>
                <version>${lunece.version}</version>
            </dependency>

        <dependency>
            <groupId>com.janeluo</groupId>
            <artifactId>ikanalyzer</artifactId>
            <version>2012_u6</version>
        </dependency>
        

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
        </dependency>
    </dependencies>
<build>  <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId>  <artifactId>maven-compiler-plugin</artifactId>  <version>3.7</version>  <configuration> <source>1.8</source> <target>1.8</target> </configuration> </plugin>  </plugins> </build> 
</project>

示例代码：

package com.k6k4.lucence;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.*;
import org.apache.lucene.document.StringField;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.*;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.queryparser.classic.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.Version;
import org.wltea.analyzer.lucene.IKAnalyzer;

import java.io.File;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.Collection;

public class Test {

    public static void main(String[] args) throws Exception {
       create();
       testSearch();
    }


    // 批量创建索引
    public static void create() throws Exception{
        // 创建文档的集合
        Collection<Document> docs = new ArrayList<>();
        // 创建文档对象
        Document document1 = new Document();
        document1.add(new StringField("id", "1", Field.Store.YES));
        document1.add(new TextField("title", "谷歌地图之父跳槽facebook", Field.Store.YES));
        docs.add(document1);
        // 创建文档对象
        Document document2 = new Document();
        document2.add(new StringField("id", "2", Field.Store.YES));
        document2.add(new TextField("title", "谷歌地图之父加盟FaceBook", Field.Store.YES));
        docs.add(document2);
        // 创建文档对象
        Document document3 = new Document();
        document3.add(new StringField("id", "3", Field.Store.YES));
        document3.add(new TextField("title", "谷歌地图创始人拉斯离开谷歌加盟Facebook", Field.Store.YES));
        docs.add(document3);
        // 创建文档对象
        Document document4 = new Document();
        document4.add(new StringField("id", "4", Field.Store.YES));
        document4.add(new TextField("title", "谷歌地图之父跳槽Facebook与Wave项目取消有关", Field.Store.YES));
        docs.add(document4);
        // 创建文档对象
        Document document5 = new Document();
        document5.add(new StringField("id", "5", Field.Store.YES));
        document5.add(new TextField("title", "谷歌地图之父拉斯加盟社交网站Facebook", Field.Store.YES));
        docs.add(document5);

        // 索引目录类,指定索引在硬盘中的位置
        Directory directory = FSDirectory.open(Paths.get("d:\\indexDir"));
        // 引入IK分词器
        Analyzer analyzer = new StandardAnalyzer();
        // 索引写出工具的配置对象
        IndexWriterConfig conf = new IndexWriterConfig( analyzer);
        // 设置打开方式：OpenMode.APPEND 会在索引库的基础上追加新索引。OpenMode.CREATE会先清空原来数据，再提交新的索引
        conf.setOpenMode(IndexWriterConfig.OpenMode.CREATE);

        // 创建索引的写出工具类。参数：索引的目录和配置信息
        IndexWriter indexWriter = new IndexWriter(directory, conf);
        // 把文档集合交给IndexWriter
        indexWriter.addDocuments(docs);
        // 提交
        indexWriter.commit();
        // 关闭
        indexWriter.close();
    }


    public static void testSearch() throws Exception {
        // 索引目录对象
        Directory directory = FSDirectory.open(Paths.get("d:\\indexDir"));
        // 索引读取工具
        IndexReader reader = DirectoryReader.open(directory);
        // 索引搜索工具
        IndexSearcher searcher = new IndexSearcher(reader);

        // 创建查询解析器,两个参数：默认要查询的字段的名称，分词器
        QueryParser parser = new QueryParser("title", new StandardAnalyzer());
        // 创建查询对象
        Query query = parser.parse("谷歌");

        // 搜索数据,两个参数：查询条件对象要查询的最大结果条数
        // 返回的结果是 按照匹配度排名得分前N名的文档信息（包含查询到的总条数信息、所有符合条件的文档的编号信息）。
        TopDocs topDocs = searcher.search(query, 10);
        // 获取总条数
        System.out.println("本次搜索共找到" + topDocs.totalHits + "条数据");
        // 获取得分文档对象（ScoreDoc）数组.SocreDoc中包含：文档的编号、文档的得分
        ScoreDoc[] scoreDocs = topDocs.scoreDocs;
        for (ScoreDoc scoreDoc : scoreDocs) {
            // 取出文档编号
            int docID = scoreDoc.doc;
            // 根据编号去找文档
            Document doc = reader.document(docID);
            System.out.println("id: " + doc.get("id"));
            System.out.println("title: " + doc.get("title"));
            // 取出文档得分
            System.out.println("得分： " + scoreDoc.score);
        }
    }



}