Java使用Lucene实现全文检索的完整示例代码，包含索引创建和搜索功能

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Java使用Lucene实现全文检索的完整示例代码，包含索引创建和搜索功能
LuceneDemo.java

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.*;
import org.apache.lucene.index.*;
import org.apache.lucene.search.*;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import java.nio.file.Paths;
public class LuceneDemo {
// 创建索引
public static void createIndex(String indexPath, String[] docs) throws Exception {
Directory dir = FSDirectory.open(Paths.get(indexPath));
Analyzer analyzer = new StandardAnalyzer();
IndexWriterConfig config = new IndexWriterConfig(analyzer);
IndexWriter writer = new IndexWriter(dir, config);
for (String doc : docs) {
Document document = new Document();
document.add(new TextField("content", doc, Field.Store.YES));
document.add(new StringField("id", "doc" + System.currentTimeMillis(), Field.Store.YES));
writer.addDocument(document);
}
writer.close();
}
// 执行搜索
public static void search(String indexPath, String queryStr) throws Exception {
Directory dir = FSDirectory.open(Paths.get(indexPath));
IndexReader reader = DirectoryReader.open(dir);
IndexSearcher searcher = new IndexSearcher(reader);
Analyzer analyzer = new StandardAnalyzer();
QueryParser parser = new QueryParser("content", analyzer);
Query query = parser.parse(queryStr);
TopDocs results = searcher.search(query, 10);
System.out.println("找到 " + results.totalHits + " 个结果");
for (ScoreDoc scoreDoc : results.scoreDocs) {
Document doc = searcher.doc(scoreDoc.doc);
System.out.println("ID: " + doc.get("id"));
System.out.println("内容: " + doc.get("content"));
System.out.println("得分: " + scoreDoc.score);
}
reader.close();
}
public static void main(String[] args) throws Exception {
String indexPath = "lucene_index";
String[] docs = {
"华为荣耀8手机",
"苹果iPhone 13 Pro Max",
"三星Galaxy S22 Ultra"
};
createIndex(indexPath, docs);
search(indexPath, "华为 OR 苹果");
}
}

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该示例演示了Lucene的基本使用流程，包括索引创建和搜索功能‌。

对于更复杂的搜索需求，以下是布尔查询的示例代码：

BooleanQueryDemo.java

public class BooleanQueryDemo {
public static void main(String[] args) throws Exception {
Directory dir = FSDirectory.open(Paths.get("lucene_index"));
IndexReader reader = DirectoryReader.open(dir);
IndexSearcher searcher = new IndexSearcher(reader);
// 创建多个子查询
TermQuery query1 = new TermQuery(new Term("content", "华为"));
TermQuery query2 = new TermQuery(new Term("content", "苹果"));
// 构建布尔查询
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.add(query1, BooleanClause.Occur.SHOULD); // OR条件
builder.add(query2, BooleanClause.Occur.SHOULD);
TopDocs results = searcher.search(builder.build(), 10);
// 处理结果...
}
}

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此代码展示了如何使用BooleanQuery实现"与或非"逻辑查询‌

如果需要实现范围查询，可以使用以下代码
RangeQueryDemo.java

public class RangeQueryDemo {
public static void main(String[] args) throws Exception {
// 创建数值范围查询
Query priceQuery = LongPoint.newRangeQuery("price", 1000, 5000);
// 创建日期范围查询
Query dateQuery = LongPoint.newRangeQuery("date",
LocalDate.of(2025,1,1).toEpochDay(),
LocalDate.of(2025,12,31).toEpochDay());
}
}

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范围查询适用于数值和日期类型的字段过滤‌。

以上代码展示了Lucene的核心功能实现，包括基本搜索、布尔查询和范围查询等常见场景。实际应用中还需要考虑中文分词优化（如使用IKAnalyzer）、索引优化和搜索结果高亮等高级功能‌

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Java使用Lucene实现全文检索的完整示例代码，包含索引创建和搜索功能

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