Class EdgeNGramTokenFilter

All Implemented Interfaces:
Closeable, AutoCloseable

public final class EdgeNGramTokenFilter extends TokenFilter
Tokenizes the given token into n-grams of given size(s).

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.

  • Field Details

  • Constructor Details

    • 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 version
      input - TokenStream holding the input to be tokenized
      side - the EdgeNGramTokenFilter.Side from which to chop off an n-gram
      minGram - the smallest n-gram to generate
      maxGram - the largest n-gram to generate
    • 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 version
      input - TokenStream holding the input to be tokenized
      sideLabel - the name of the EdgeNGramTokenFilter.Side from which to chop off an n-gram
      minGram - the smallest n-gram to generate
      maxGram - the largest n-gram to generate
    • EdgeNGramTokenFilter

      public EdgeNGramTokenFilter(Version version, TokenStream input, int minGram, int maxGram)
      Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range
      Parameters:
      version - the Lucene match version
      input - TokenStream holding the input to be tokenized
      minGram - the smallest n-gram to generate
      maxGram - the largest n-gram to generate
  • Method Details

    • incrementToken

      public final boolean incrementToken() throws IOException
      Description copied from class: TokenStream
      Consumers (i.e., IndexWriter) use this method to advance the stream to the next token. Implementing classes must implement this method and update the appropriate AttributeImpls 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) and AttributeSource.getAttribute(Class), references to all AttributeImpls 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:
      incrementToken in class TokenStream
      Returns:
      false for end of stream; true otherwise
      Throws:
      IOException
    • reset

      public void reset() throws IOException
      Description copied from class: TokenFilter
      This method is called by a consumer before it begins consumption using TokenStream.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., Tokenizer will throw IllegalStateException on 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:
      reset in class TokenFilter
      Throws:
      IOException