Class EdgeNGramTokenFilter
- All Implemented Interfaces:
Closeable,AutoCloseable
This TokenFilter create n-grams from the beginning edge or ending edge of a input token.
As of Lucene 4.4, this filter does not support
EdgeNGramTokenFilter.Side.BACK (you can use ReverseStringFilter up-front and
afterward to get the same behavior), handles supplementary characters
correctly and does not update offsets anymore.
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic enumSpecifies which side of the input the n-gram should be generated fromNested classes/interfaces inherited from class org.apache.lucene.util.AttributeSource
AttributeSource.AttributeFactory, AttributeSource.State -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intstatic final intstatic final EdgeNGramTokenFilter.Side -
Constructor Summary
ConstructorsConstructorDescriptionEdgeNGramTokenFilter(Version version, TokenStream input, int minGram, int maxGram) Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given rangeEdgeNGramTokenFilter(Version version, TokenStream input, String sideLabel, int minGram, int maxGram) Deprecated.EdgeNGramTokenFilter(Version version, TokenStream input, EdgeNGramTokenFilter.Side side, int minGram, int maxGram) Deprecated. -
Method Summary
Modifier and TypeMethodDescriptionfinal booleanConsumers (i.e.,IndexWriter) use this method to advance the stream to the next token.voidreset()This method is called by a consumer before it begins consumption usingTokenStream.incrementToken().Methods inherited from class org.apache.lucene.analysis.TokenFilter
close, endMethods inherited from class org.apache.lucene.util.AttributeSource
addAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, restoreState, toString
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Field Details
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DEFAULT_SIDE
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DEFAULT_MAX_GRAM_SIZE
public static final int DEFAULT_MAX_GRAM_SIZE- See Also:
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DEFAULT_MIN_GRAM_SIZE
public static final int DEFAULT_MIN_GRAM_SIZE- See Also:
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Constructor Details
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EdgeNGramTokenFilter
@Deprecated public EdgeNGramTokenFilter(Version version, TokenStream input, EdgeNGramTokenFilter.Side side, int minGram, int maxGram) Deprecated.Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range- Parameters:
version- the Lucene match versioninput-TokenStreamholding the input to be tokenizedside- theEdgeNGramTokenFilter.Sidefrom which to chop off an n-gramminGram- the smallest n-gram to generatemaxGram- the largest n-gram to generate
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EdgeNGramTokenFilter
@Deprecated public EdgeNGramTokenFilter(Version version, TokenStream input, String sideLabel, int minGram, int maxGram) Deprecated.Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range- Parameters:
version- the Lucene match versioninput-TokenStreamholding the input to be tokenizedsideLabel- the name of theEdgeNGramTokenFilter.Sidefrom which to chop off an n-gramminGram- the smallest n-gram to generatemaxGram- the largest n-gram to generate
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EdgeNGramTokenFilter
Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range- Parameters:
version- the Lucene match versioninput-TokenStreamholding the input to be tokenizedminGram- the smallest n-gram to generatemaxGram- the largest n-gram to generate
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Method Details
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incrementToken
Description copied from class:TokenStreamConsumers (i.e.,IndexWriter) use this method to advance the stream to the next token. Implementing classes must implement this method and update the appropriateAttributeImpls with the attributes of the next token.The producer must make no assumptions about the attributes after the method has been returned: the caller may arbitrarily change it. If the producer needs to preserve the state for subsequent calls, it can use
AttributeSource.captureState()to create a copy of the current attribute state.This method is called for every token of a document, so an efficient implementation is crucial for good performance. To avoid calls to
AttributeSource.addAttribute(Class)andAttributeSource.getAttribute(Class), references to allAttributeImpls that this stream uses should be retrieved during instantiation.To ensure that filters and consumers know which attributes are available, the attributes must be added during instantiation. Filters and consumers are not required to check for availability of attributes in
TokenStream.incrementToken().- Specified by:
incrementTokenin classTokenStream- Returns:
- false for end of stream; true otherwise
- Throws:
IOException
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reset
Description copied from class:TokenFilterThis method is called by a consumer before it begins consumption usingTokenStream.incrementToken().Resets this stream to a clean state. Stateful implementations must implement this method so that they can be reused, just as if they had been created fresh.
If you override this method, always call
super.reset(), otherwise some internal state will not be correctly reset (e.g.,Tokenizerwill throwIllegalStateExceptionon further usage).NOTE: The default implementation chains the call to the input TokenStream, so be sure to call
super.reset()when overriding this method.- Overrides:
resetin classTokenFilter- Throws:
IOException
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