org.apache.lucene.analysis
Class CharTokenizer
- java.lang.Object
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- org.apache.lucene.analysis.TokenStream
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- org.apache.lucene.analysis.Tokenizer
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- org.apache.lucene.analysis.CharTokenizer
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- Direct Known Subclasses:
- LetterTokenizer, WhitespaceTokenizer
public abstract class CharTokenizer extends Tokenizer
An abstract base class for simple, character-oriented tokenizers.
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Constructor Summary
Constructors Constructor and Description CharTokenizer(java.io.Reader input)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description Tokennext(Token token)Returns the next token in the stream, or null at EOS.voidreset(java.io.Reader input)Expert: Reset the tokenizer to a new reader.-
Methods inherited from class org.apache.lucene.analysis.TokenStream
next, reset
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Method Detail
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next
public final Token next(Token token) throws java.io.IOException
Description copied from class:TokenStreamReturns the next token in the stream, or null at EOS. When possible, the input Token should be used as the returned Token (this gives fastest tokenization performance), but this is not required and a new Token may be returned. Callers may re-use a single Token instance for successive calls to this method.This implicitly defines a "contract" between consumers (callers of this method) and producers (implementations of this method that are the source for tokens):
- A consumer must fully consume the previously returned Token before calling this method again.
- A producer must call
Token.clear()before setting the fields in it & returning it
TokenFilteris considered a consumer.- Overrides:
nextin classTokenStream- Parameters:
token- a Token that may or may not be used to return- Returns:
- next token in the stream or null if end-of-stream was hit
- Throws:
java.io.IOException
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reset
public void reset(java.io.Reader input) throws java.io.IOExceptionDescription copied from class:TokenizerExpert: Reset the tokenizer to a new reader. Typically, an analyzer (in its reusableTokenStream method) will use this to re-use a previously created tokenizer.
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