IKAnalyzer兼容Lucene 5.4.0版本抛出异常？

ava.lang.AbstractMethodError: org.apache.lucene.analysis.Analyzer.createComponents(Ljava/lang/String;)Lorg/apache/lucene/analysis/Analyzer$TokenStreamComponents;
    at org.apache.lucene.analysis.Analyzer.tokenStream(Analyzer.java:176)
    at org.apache.lucene.document.Field.tokenStream(Field.java:562)
    at org.apache.lucene.index.DefaultIndexingChain$PerField.invert(DefaultIndexingChain.java:607)
    at org.apache.lucene.index.DefaultIndexingChain.processField(DefaultIndexingChain.java:344)
    at org.apache.lucene.index.DefaultIndexingChain.processDocument(DefaultIndexingChain.java:300)
    at org.apache.lucene.index.DocumentsWriterPerThread.updateDocument(DocumentsWriterPerThread.java:234)
    at org.apache.lucene.index.DocumentsWriter.updateDocument(DocumentsWriter.java:450)
    at org.apache.lucene.index.IndexWriter.updateDocument(IndexWriter.java:1477)
    at org.apache.lucene.index.IndexWriter.addDocument(IndexWriter.java:1256)
    at com.study.lucene.demo.IndexFileTester.addDocument4(IndexFileTester.java:120)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47)
    at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
    at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44)
    at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
    at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:271)
    at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:70)
    at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
    at org.junit.runners.ParentRunner$3.run(ParentRunner.java:238)
    at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:63)
    at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:236)
    at org.junit.runners.ParentRunner.access$000(ParentRunner.java:53)

 

根据报错信息，原来是下载的IK Analyzer 2012FF_hf1.zip不兼容最新的Lucene 5.4.0版本(我下载的Lucene版本是5.4.0)，看了下IK Analyzer 2012FF_hf1.zip的源码，原来是其中的IKAnalyzer.java和IKTokenizer.java两个类不兼容Lucene 5.4.0版本的API（这两个文件是IKAnalyzer接入Lucene 的核心类），对其进行相应的改进吧，本来想通过继承方式的，但KAnalyzer.java和IKTokenizer.java两个类都是final的，没办法，只能重写了。

 

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import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.Tokenizer;   public class ReIKAnalyzer extends Analyzer {       private boolean useSmart;       public boolean useSmart() {         return useSmart;     }       public void setUseSmart(boolean useSmart) {         this.useSmart = useSmart;     }       /**      * IK分词器Lucene 5.4.0 Analyzer接口实现类      *      * 默认细粒度切分算法      */     public ReIKAnalyzer() {         this(false);     }       /**      * IK分词器Lucene 5.4.0 Analyzer接口实现类      *      * @param useSmart      *            当为true时，分词器进行智能切分      */     public ReIKAnalyzer(boolean useSmart) {         super();         this.useSmart = useSmart;     }       /**      * 重载Analyzer接口，构造分词组件      *      * @param fieldName      *            the name of the fields content passed to the      *            TokenStreamComponents sink as a reader      */     @Override     protected TokenStreamComponents createComponents(String fieldName) {         Tokenizer _IKTokenizer = new ReIKTokenizer(this.useSmart());         return new TokenStreamComponents(_IKTokenizer);     } }

　　

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import java.io.IOException;   import org.apache.lucene.analysis.Tokenizer; import org.apache.lucene.analysis.tokenattributes.CharTermAttribute; import org.apache.lucene.analysis.tokenattributes.OffsetAttribute; import org.apache.lucene.analysis.tokenattributes.TypeAttribute; import org.wltea.analyzer.core.IKSegmenter; import org.wltea.analyzer.core.Lexeme;   public class ReIKTokenizer extends Tokenizer {       // IK分词器实现     private IKSegmenter _IKImplement;       // 词元文本属性     private final CharTermAttribute termAtt;     // 词元位移属性     private final OffsetAttribute offsetAtt;     // 词元分类属性（该属性分类参考org.wltea.analyzer.core.Lexeme中的分类常量）     private final TypeAttribute typeAtt;     // 记录最后一个词元的结束位置     private int endPosition;       /**      * Lucene 5.4.0 Tokenizer适配器类构造函数      *      * @param in      * @param useSmart      */     public ReIKTokenizer(boolean useSmart) {         super();         offsetAtt = addAttribute(OffsetAttribute.class);         termAtt = addAttribute(CharTermAttribute.class);         typeAtt = addAttribute(TypeAttribute.class);         _IKImplement = new IKSegmenter(input, useSmart);     }       @Override     public boolean incrementToken() throws IOException {         // 清除所有的词元属性         clearAttributes();         Lexeme nextLexeme = _IKImplement.next();         if (nextLexeme != null) {             // 将Lexeme转成Attributes             // 设置词元文本             termAtt.append(nextLexeme.getLexemeText());             // 设置词元长度             termAtt.setLength(nextLexeme.getLength());             // 设置词元位移             offsetAtt.setOffset(nextLexeme.getBeginPosition(),                     nextLexeme.getEndPosition());             // 记录分词的最后位置             endPosition = nextLexeme.getEndPosition();             // 记录词元分类             typeAtt.setType(nextLexeme.getLexemeTypeString());             // 返会true告知还有下个词元             return true;         }         // 返会false告知词元输出完毕         return false;     }       @Override     public void reset() throws IOException {         super.reset();         _IKImplement.reset(input);     }       @Override     public final void end() {         // set final offset         int finalOffset = correctOffset(this.endPosition);         offsetAtt.setOffset(finalOffset, finalOffset);     } }