整合Lucene 4.10.1 与IK Analyzer
注意，IK Analyzer需要使用其下载列表中的 IK Analyzer 2012FF_hf1.zip，否则在和Lucene 4.10配合使用时会报错。
我使用 intellij IDEA 12进行的测试。
建立java项目
建立项目HelloLucene，导入Lucene的几个库。“File”->“Project Structure”->
将IK Analyzer 2012FF_hf1.zip解压后的源码放入src目录，并将字典和配置文件放入src目录，最终如下：
一个示例：
IKAnalyzerDemo.java中是我在其他地方找的一个示例，和IK的官方示例很像。内容如下：
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packageorg.apache.lucene.demo;
importjava.io.IOException;
importjava.io.StringReader;
importorg.apache.lucene.analysis.Analyzer;
importorg.apache.lucene.analysis.TokenStream;
importorg.apache.lucene.analysis.tokenattributes.CharTermAttribute;
importorg.apache.lucene.document.Document;
importorg.apache.lucene.document.Field;
importorg.apache.lucene.index.IndexReader;
importorg.apache.lucene.index.IndexWriter;
importorg.apache.lucene.index.IndexWriterConfig;
importorg.apache.lucene.queryparser.classic.ParseException;
importorg.apache.lucene.queryparser.classic.QueryParser;
importorg.apache.lucene.search.IndexSearcher;
importorg.apache.lucene.search.Query;
importorg.apache.lucene.search.ScoreDoc;
importorg.apache.lucene.search.TopDocs;
importorg.apache.lucene.store.RAMDirectory;
importorg.apache.lucene.util.Version;
importorg.wltea.analyzer.lucene.IKAnalyzer;
publicclassIKAnalyzerDemo {
/**
* @param args
* @throws IOException
*/
publicstaticvoidmain(String[] args)throwsIOException {
// TODO Auto-generated method stub
//建立索引
String text1 =
"IK Analyzer是一个结合词典分词和文法分词的中文分词开源工具包。它使用了全新的正向迭代最细粒度切"
+
"分算法。"
;
String text2 =
"中文分词工具包可以和lucene是一起使用的"
;
String text3 =
"中文分词,你妹"
;
String fieldName =
"contents"
;
Analyzer analyzer =newIKAnalyzer();
RAMDirectory directory =newRAMDirectory();
IndexWriterConfig writerConfig =newIndexWriterConfig(Version.LUCENE_34, analyzer);
IndexWriter indexWriter =newIndexWriter(directory, writerConfig);
Document document1 =newDocument();
document1.add(newField(
"ID"
,
"1"
, Field.Store.YES, Field.Index.NOT_ANALYZED));
document1.add(newField(fieldName, text1, Field.Store.YES, Field.Index.ANALYZED));
indexWriter.addDocument(document1);
Document document2 =newDocument();
document2.add(newField(
"ID"
,
"2"
, Field.Store.YES, Field.Index.NOT_ANALYZED));
document2.add(newField(fieldName, text2, Field.Store.YES, Field.Index.ANALYZED));
indexWriter.addDocument(document2);
Document document3 =newDocument();
document3.add(newField(
"ID"
,
"2"
, Field.Store.YES, Field.Index.NOT_ANALYZED));
document3.add(newField(fieldName, text3, Field.Store.YES, Field.Index.ANALYZED));
indexWriter.addDocument(document3);
indexWriter.close();
//搜索
IndexReader indexReader = IndexReader.open(directory);
IndexSearcher searcher =newIndexSearcher(indexReader);
String request =
"中文分词工具包"
;
QueryParser parser =newQueryParser(Version.LUCENE_40, fieldName, analyzer);
parser.setDefaultOperator(QueryParser.AND_OPERATOR);
try
{
Query query = parser.parse(request);
TopDocs topDocs = searcher.search(query,
5
);
System.out.println(
"命中数:"
+topDocs.totalHits);
ScoreDoc[] docs = topDocs.scoreDocs;
for
(ScoreDoc doc : docs){
Document d = searcher.doc(doc.doc);
System.out.println(
"内容:"
+d.get(fieldName));
}
}
catch
(ParseException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
finally
{
if
(indexReader !=
null
){
try
{
indexReader.close();
}
catch
(IOException e) {
e.printStackTrace();
}
}
if
(directory !=
null
){
try
{
directory.close();
}
catch
(Exception e) {
e.printStackTrace();
}
}
}
}
}
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加载扩展停止词典：stopword.dic
命中数:
2
内容:中文分词工具包可以和lucene是一起使用的
内容:IK Analyzer是一个结合词典分词和文法分词的中文分词开源工具包。它使用了全新的正向迭代最细粒度切分算法。
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1、Field()已经不推荐按使用。
2、QueryParser()的使用方式也改变了。
下面是更加符合要求的示例。
第二个示例：
MyIndex类用来创建索引：|
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importorg.apache.lucene.analysis.Analyzer;
importorg.apache.lucene.document.*;
importorg.apache.lucene.document.Field.Store;
importorg.apache.lucene.index.IndexWriter;
importorg.apache.lucene.index.IndexWriterConfig;
importorg.apache.lucene.store.Directory;
importorg.apache.lucene.store.FSDirectory;
importorg.apache.lucene.util.Version;
importorg.wltea.analyzer.lucene.IKAnalyzer;
importjava.io.File;
publicclassMyIndex {
publicstaticvoidmain(String[] args) {
String ID;
String content;
ID =
"1231"
;
content =
"BuzzFeed has compiled an amazing array of "
+
"ridiculously strange bridesmaid snapshots, courtesy of Awkward Family Photos. "
;
indexPost(ID, content);
ID =
"1234"
;
content =
"Lucene是apache软件基金会4 jakarta项目组的一个子项目，是一个开放源代码的全文检索引擎工具包"
;
indexPost(ID, content);
ID =
"1235"
;
content =
"Lucene不是一个完整的全文索引应用，而是是一个用Java写的全文索引引擎工具包，它可以方便的嵌入到各种应用中实现"
;
indexPost(ID, content);
}
publicstaticvoidindexPost(String ID, String content) {
File indexDir =newFile(
"/home/letian/lucene-test/index"
);
Analyzer analyzer =newIKAnalyzer();
TextField postIdField =newTextField(
"id"
, ID, Store.YES);
// 不要用StringField
TextField postContentField =newTextField(
"content"
, content, Store.YES);
Document doc =newDocument();
doc.add(postIdField);
doc.add(postContentField);
IndexWriterConfig iwConfig =newIndexWriterConfig(Version.LUCENE_4_10_1, analyzer);
iwConfig.setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND);
try
{
Directory fsDirectory = FSDirectory.open(indexDir);
IndexWriter indexWriter =newIndexWriter(fsDirectory, iwConfig);
indexWriter.addDocument(doc);
indexWriter.close();
}
catch
(Exception e) {
e.printStackTrace();
}
}
}
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运行上面的代码，创建索引的结果如下：
MySearch.java是一个搜索的示例：
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importorg.apache.lucene.analysis.Analyzer;
importorg.apache.lucene.document.Document;
importorg.apache.lucene.queryparser.classic.QueryParser;
importorg.apache.lucene.search.*;
importorg.apache.lucene.store.Directory;
importorg.apache.lucene.store.FSDirectory;
importorg.apache.lucene.index.DirectoryReader;
importorg.wltea.analyzer.lucene.IKAnalyzer;
importjava.io.File;
publicclassMySearch {
publicstaticvoidmain(String[] args) {
Analyzer analyzer =newIKAnalyzer();
File indexDir =newFile(
"/home/letian/lucene-test/index"
);
try
{
Directory fsDirectory = FSDirectory.open(indexDir);
DirectoryReader ireader = DirectoryReader.open(fsDirectory);
IndexSearcher isearcher =newIndexSearcher(ireader);
QueryParser qp =newQueryParser(
"content"
, analyzer);
//使用QueryParser查询分析器构造Query对象
qp.setDefaultOperator(QueryParser.AND_OPERATOR);
Query query = qp.parse(
"Lucene"
);
// 搜索Lucene
TopDocs topDocs = isearcher.search(query ,
5
);
//搜索相似度最高的5条记录
System.out.println(
"命中:"
+ topDocs.totalHits);
ScoreDoc[] scoreDocs = topDocs.scoreDocs;
for
(inti =
0
; i < topDocs.totalHits; i++){
Document targetDoc = isearcher.doc(scoreDocs[i].doc);
System.out.println(
"内容:"
+ targetDoc.toString());
}
}
catch
(Exception e) {
}
}
}
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命中:
2
内容:Document<stored,indexed,tokenized<id:
1234
> stored,indexed,tokenized<content:Lucene是apache软件基金会
4
jakarta项目组的一个子项目，是一个开放源代码的全文检索引擎工具包>>
内容:Document<stored,indexed,tokenized<id:
1235
> stored,indexed,tokenized<content:Lucene不是一个完整的全文索引应用，而是是一个用Java写的全文索引引擎工具包，它可以方便的嵌入到各种应用中实现>>
|
参考：
http://lucene.apache.org/core/4_10_0/core/index.html
http://blog.youkuaiyun.com/tangpengtao/article/details/8670724
http://blog.youkuaiyun.com/enjoyinwind/article/details/8278250
http://blog.youkuaiyun.com/fyqcdbdx/article/details/17465929
更多资料：
初识 Lucene
http://www.ibm.com/developerworks/cn/java/j-lo-lucene1/
Lucene：基于Java的全文检索引擎简介
http://www.chedong.com/tech/lucene.html
使用 Apache Lucene 搜索文本
http://www.ibm.com/developerworks/cn/opensource/os-apache-lucenesearch/
深入 Lucene 索引机制
http://www.ibm.com/developerworks/cn/java/wa-lucene/
Lucene学习总结 系列文章
http://forfuture1978.iteye.com/category/89151
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