PhraseQuery：短语查询，就是查询文档中是否包含指定的一个Term或多个Term,多个Term之间可以指定间隔即slop参数，官方API解释如图：

package com.yida.framework.lucene5.query;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.document.TextField;import org.apache.lucene.index.DirectoryReader;import org.apache.lucene.index.IndexReader;import org.apache.lucene.index.IndexWriter;import org.apache.lucene.index.IndexWriterConfig;import org.apache.lucene.index.IndexWriterConfig.OpenMode;import org.apache.lucene.index.Term;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.PhraseQuery;import org.apache.lucene.search.ScoreDoc;import org.apache.lucene.search.TopDocs;import org.apache.lucene.store.Directory;import org.apache.lucene.store.RAMDirectory;public class PhraseQueryTest {	public static void main(String[] args) throws IOException {		Directory dir = new RAMDirectory();        Analyzer analyzer = new StandardAnalyzer();        IndexWriterConfig iwc = new IndexWriterConfig(analyzer);        iwc.setOpenMode(OpenMode.CREATE);        IndexWriter writer = new IndexWriter(dir, iwc);        Document doc = new Document();        doc.add(new TextField("text", "quick brown fox", Field.Store.YES));        writer.addDocument(doc);                doc = new Document();        doc.add(new TextField("text", "jumps over lazy broun dog", Field.Store.YES));        writer.addDocument(doc);                doc = new Document();        doc.add(new TextField("text", "jumps over extremely very lazy broxn dog", Field.Store.YES));        writer.addDocument(doc);                        writer.close();        IndexReader reader = DirectoryReader.open(dir);        IndexSearcher searcher = new IndexSearcher(reader);                String term1 = "dog";        String term2 = "jumps";        PhraseQuery phraseQuery = new PhraseQuery();        phraseQuery.add(new Term("text",term1));        phraseQuery.add(new Term("text",term2));        phraseQuery.setSlop(15);                TopDocs results = searcher.search(phraseQuery, null, 100);        ScoreDoc[] scoreDocs = results.scoreDocs;                for (int i = 0; i < scoreDocs.length; ++i) {            //System.out.println(searcher.explain(query, scoreDocs[i].doc));        	int docID = scoreDocs[i].doc;			Document document = searcher.doc(docID);			String path = document.get("text");			System.out.println("text:" + path);        }	}}

   pharseQuery.add(term),每次都是add到末尾，当然你也可以用add(term,position)明确指定add到哪个位置，示例代码中add了两个Term,则我们的查询短语是dog jumps,他们的间隔为0，然后我们设置slop值为5，

第2个索引文档里单词jumps往右移动5次刚好可以得到我们的查询短语dog jumps,因此它符合要求被返回了，而第1个索引文档直接不包含单词dog不符合要求，第3个索引文档需要移动7次才能得到dog jumps,所以最后返回的只有第2个索引文档。

   如果我把代码变一下，改成这样：

String term1 = "dog";        String term2 = "jumps";        PhraseQuery phraseQuery = new PhraseQuery();        phraseQuery.add(new Term("text",term1),0);        phraseQuery.add(new Term("text",term2),2);        phraseQuery.setSlop(6);                TopDocs results = searcher.search(phraseQuery, null, 100);

   这时候我们的查询短语就是dog xxx jumps,意思就是我们要查询包含dog和jumps字符的文档而且dog和jumps之间要有一个字符间隔(不包含停用词)，这时候我们的slop就要加1了，即我们需要再多移动一次，所以这次slop值应该为6.

    PharseQuery下还有一个子类NGramPhraseQuery,这个子类涉及到N-Gram模型，算法之类的我就略过了。

   如果你还有什么问题请加我Ｑ-Q：7-3-6-0-3-1-3-0-5，

或者加裙