今天我们实现一个简单的分词器,仅仅做演示使用功能如下:
1、分词按照空格、横杠、点号进行拆分;
2、实现hi与hello的同义词查询功能;
3、实现hi与hello同义词的高亮显示;
MyAnalyzer实现代码:
public class MyAnalyzer extends Analyzer { private int analyzerType; public MyAnalyzer(int type) { super(); analyzerType = type; } @Override protected TokenStreamComponents createComponents(String fieldName, Reader reader) { MyTokenizer tokenizer = new MyTokenizer(fieldName, reader, analyzerType); return new TokenStreamComponents(tokenizer); } }
public class MyTokenizer extends Tokenizer { public class WordUnit{ WordUnit(String word, int start, int length){ this.word = word; this.start = start; this.length = length; //System.out.println("\tWordUnit: " + word + "|" + start + "|" + length); } String word; int start; int length; } private int analyzerType; private int endPosition; private Iterator<WordUnit> it; private ArrayList<WordUnit> words; private final CharTermAttribute termAtt; private final OffsetAttribute offsetAtt; public MyTokenizer(String fieldName, Reader in, int type) { super(in); it = null; endPosition = 0; analyzerType = type; offsetAtt = addAttribute(OffsetAttribute.class); termAtt = addAttribute(CharTermAttribute.class); addAttribute(PayloadAttribute.class); } @Override public boolean incrementToken() throws IOException { clearAttributes(); char[] inputBuf = new char[1024]; if(it == null) { int bufSize = input.read(inputBuf); if(bufSize <= 0) return false; int beginIndex = 0; int endIndex = 0; words = new ArrayList<WordUnit>(); for(endIndex = 0; endIndex < bufSize; endIndex++) { if(inputBuf[endIndex] != '-' && inputBuf[endIndex] != ' ' && inputBuf[endIndex] != '.') continue; addWord(inputBuf, beginIndex, endIndex); beginIndex = endIndex + 1; } addWord(inputBuf, beginIndex, endIndex);//add the last if(words.isEmpty()) return false; it = words.iterator(); } if(it != null && it.hasNext()){ WordUnit word = it.next(); termAtt.append(word.word); termAtt.setLength(word.word.length()); endPosition = word.start + word.length; offsetAtt.setOffset(word.start, endPosition); return true; } return false; } @Override public void reset() throws IOException { super.reset(); it = null; endPosition = 0; } @Override public final void end() { int finalOffset = correctOffset(this.endPosition); offsetAtt.setOffset(finalOffset, finalOffset); } private void addWord(char[] inputBuf, int begin, int end){ if(end <= begin) return; String word = new String(inputBuf, begin, end - begin); words.add(new WordUnit(word, begin, end - begin)); if(analyzerType == 0 && word.equals("hi")) words.add(new WordUnit("hello", begin, 2)); if(analyzerType == 0 && word.equals("hello")) words.add(new WordUnit("hi", begin, 5)); } }索引的时候分词器类型:analyzerType=0;
搜索的时候分词器类型:analyzerType=1;
高亮的时候分词器类型:analyzerType=0;
搜索hello时的效果如下:
Score doc 0 hightlight to: look <em>hello</em> on Score doc 1 hightlight to: I am <em>hi</em> China Chinese可以看到含有hi的文档也被搜索出来,同样也会高亮。
原文地址:http://blog.csdn.net/gdutliuyun827/article/details/43226533