MultiFieldQueryParser

摘自lucene官网

public static Query parse(String[] queries,
          String[] fields,
          BooleanClause.Occur[] flags,
          Analyzer analyzer)
                   throws ParseException
Parses a query, searching on the fields specified. Use this if you need to specify certain fields as required, and others as prohibited.

Usage:

String[] query ={"query1","query2","query3"};String[] fields ={"filename","contents","description"};BooleanClause.Occur[] flags ={BooleanClause.Occur.SHOULD,BooleanClause.Occur.MUST,BooleanClause.Occur.MUST_NOT};MultiFieldQueryParser.parse(query, fields, flags, analyzer);

The code above would construct a query:

 
 (filename:query1) +(contents:query2) -(description:query3)
 
 
Parameters:
queries - Queries string to parse
fields - Fields to search on
flags - Flags describing the fields
analyzer - Analyzer to use
Throws:
ParseException - if query parsing fails
IllegalArgumentException - if the length of the queries, fields, and flags array differ
/**
 * BooleanClause.Occur.MUST表示and
 * BooleanClause.Occur.MUST_NOT表示not
 * BooleanClause.Occur.SHOULD表示or
 */
以下是一个简单的使用Java语言和Lucene库实现就业问答的代码实例: ```java import java.nio.file.Paths; import java.util.Scanner; import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.standard.StandardAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.index.DirectoryReader; import org.apache.lucene.index.IndexReader; import org.apache.lucene.queryparser.classic.MultiFieldQueryParser; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.ScoreDoc; import org.apache.lucene.search.TopDocs; import org.apache.lucene.store.FSDirectory; public class JobQA { public static void main(String[] args) throws Exception { // 加载Lucene的Analyzer Analyzer analyzer = new StandardAnalyzer(); // 加载Lucene的IndexReader String indexDir = "/path/to/index/dir"; IndexReader reader = DirectoryReader.open(FSDirectory.open(Paths.get(indexDir))); // 加载Lucene的IndexSearcher IndexSearcher searcher = new IndexSearcher(reader); // 加载Lucene的MultiFieldQueryParser String[] fields = {"question", "answer"}; MultiFieldQueryParser parser = new MultiFieldQueryParser(fields, analyzer); Scanner scanner = new Scanner(System.in); while (true) { // 获取用户输入的问题 System.out.print("请输入问题:"); String queryStr = scanner.nextLine(); // 构造查询 TopDocs topDocs = searcher.search(parser.parse(queryStr), 10); // 输出查询结果 System.out.println("共找到" + topDocs.totalHits.value + "个答案:"); for (ScoreDoc scoreDoc : topDocs.scoreDocs) { Document doc = searcher.doc(scoreDoc.doc); System.out.println("问题:" + doc.get("question")); System.out.println("答案:" + doc.get("answer")); System.out.println("得分:" + scoreDoc.score); System.out.println("==========="); } } } } ``` 在这个示例代码中,我们首先加载了Lucene的Analyzer、IndexReader和IndexSearcher,然后使用MultiFieldQueryParser构造查询,允许用户在问题和答案字段中进行搜索。接下来,我们使用Scanner类获取用户输入的问题,然后使用IndexSearcher执行查询并输出结果。请注意,在实际应用中,我们需要在程序启动时对问题和答案库进行索引,以便更快速地进行查询。
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