转自：http://blog.csdn.net/caoxu1987728/article/details/2324644
FuzzyQuery：
创建索引：
IndexWriter writer = new IndexWriter(path, new StandardAnalyzer(),
false);
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();
Field f1 = new Field("content", "word", Field.Store.YES,
Field.Index.TOKENIZED);
Field f2 = new Field("content", "work", Field.Store.YES,
Field.Index.TOKENIZED);
Field f3 = new Field("content", "seed", Field.Store.YES,
Field.Index.TOKENIZED);
Field f4 = new Field("content", "sword", Field.Store.YES,
Field.Index.TOKENIZED);
Field f5 = new Field("content", "world", Field.Store.YES,
Field.Index.TOKENIZED);
Field f6 = new Field("content", "ford", Field.Store.YES,
Field.Index.TOKENIZED);
doc1.add(f1);
doc2.add(f2);
doc3.add(f3);
doc4.add(f4);
doc5.add(f5);
doc6.add(f6);
writer.addDocument(doc1);
writer.addDocument(doc2);
writer.addDocument(doc3);
writer.addDocument(doc4);
writer.addDocument(doc5);
writer.addDocument(doc6);
writer.close();
false);
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();
Field f1 = new Field("content", "word", Field.Store.YES,
Field.Index.TOKENIZED);
Field f2 = new Field("content", "work", Field.Store.YES,
Field.Index.TOKENIZED);
Field f3 = new Field("content", "seed", Field.Store.YES,
Field.Index.TOKENIZED);
Field f4 = new Field("content", "sword", Field.Store.YES,
Field.Index.TOKENIZED);
Field f5 = new Field("content", "world", Field.Store.YES,
Field.Index.TOKENIZED);
Field f6 = new Field("content", "ford", Field.Store.YES,
Field.Index.TOKENIZED);
doc1.add(f1);
doc2.add(f2);
doc3.add(f3);
doc4.add(f4);
doc5.add(f5);
doc6.add(f6);
writer.addDocument(doc1);
writer.addDocument(doc2);
writer.addDocument(doc3);
writer.addDocument(doc4);
writer.addDocument(doc5);
writer.addDocument(doc6);
writer.close();
注：IndexWriter中的create的变量值一般设为true
搜索：
IndexSearcher searcher = new IndexSearcher(path);
//构建一个Term，然后对其进行模糊查找
Term t = new Term("content", "work");
FuzzyQuery query = new FuzzyQuery(t);
//FuzzyQuery还有两个构造函数，来限制模糊匹配的程度
// 在FuzzyQuery中，默认的匹配度是0.5，当这个值越小时，通过模糊查找出的文档的匹配程度就
// 越低，查出的文档量就越多,反之亦然
FuzzyQuery query1 = new FuzzyQuery(t, 0.1f);
FuzzyQuery query2 = new FuzzyQuery(t, 0.1f, 1);
Hits hits = searcher.search(query2);
for (int i = 0; i < hits.length(); i++)
{
System.out.println(hits.doc(i));
}
searcher.close();
//构建一个Term，然后对其进行模糊查找
Term t = new Term("content", "work");
FuzzyQuery query = new FuzzyQuery(t);
//FuzzyQuery还有两个构造函数，来限制模糊匹配的程度
// 在FuzzyQuery中，默认的匹配度是0.5，当这个值越小时，通过模糊查找出的文档的匹配程度就
// 越低，查出的文档量就越多,反之亦然
FuzzyQuery query1 = new FuzzyQuery(t, 0.1f);
FuzzyQuery query2 = new FuzzyQuery(t, 0.1f, 1);
Hits hits = searcher.search(query2);
for (int i = 0; i < hits.length(); i++)
{
System.out.println(hits.doc(i));
}
searcher.close();
模糊搜索的三种构造函数，具体讲一下参数的用法（以第三个为例）；
第一个参数当然是词条对象，第二个参数指的是levenshtein算法的最小相似度，第三个参数指的是要有多少个前缀字母完全匹配：
通配符就更简单了，只要知道“*”表示0到多个字符，而使用“？”表示一个字符就行了：
IndexSearcher searcher=new IndexSearcher(path);
Term t1=new Term("content","?o*");
WildcardQuery query=new WildcardQuery(t1);
Hits hits=searcher.search(query);
for(int i=0;i<hits.length();i++)
{
System.out.println(hits.doc(i));
}
Term t1=new Term("content","?o*");
WildcardQuery query=new WildcardQuery(t1);
Hits hits=searcher.search(query);
for(int i=0;i<hits.length();i++)
{
System.out.println(hits.doc(i));
}
That“s all！