## org.apache.lucene.analysis.shingle
Class ShingleFilter

    java.lang.Object
      org.apache.lucene.util.AttributeSource
          org.apache.lucene.analysis.TokenStream
              org.apache.lucene.analysis.TokenFilter
                  org.apache.lucene.analysis.shingle.ShingleFilter

All Implemented Interfaces:
  Closeable

    public final class ShingleFilter

extends org.apache.lucene.analysis.TokenFilter

A ShingleFilter constructs shingles (token n-grams) from a token stream. In other words, it creates combinations of tokens as a single token.

For example, the sentence "please divide this sentence into shingles" might be tokenized into shingles "please divide", "divide this", "this sentence", "sentence into", and "into shingles".

This filter handles position increments > 1 by inserting filler tokens (tokens with termtext "_"). It does not handle a position increment of 0.

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.lucene.util.AttributeSource
`org.apache.lucene.util.AttributeSource.AttributeFactory, org.apache.lucene.util.AttributeSource.State`

Field Summary
`static int` `DEFAULT_MAX_SHINGLE_SIZE` default maximum shingle size is 2.
`static int` `DEFAULT_MIN_SHINGLE_SIZE` default minimum shingle size is 2.
`static String` `DEFAULT_TOKEN_TYPE` default token type attribute value is "shingle"
`static char[]` `FILLER_TOKEN` filler token for when positionIncrement is more than 1
`static String` `TOKEN_SEPARATOR` The default string to use when joining adjacent tokens to form a shingle

Fields inherited from class org.apache.lucene.analysis.TokenFilter
`input`

Constructor Summary
`ShingleFilter(org.apache.lucene.analysis.TokenStream input)` Construct a ShingleFilter with default shingle size: 2.
`ShingleFilter(org.apache.lucene.analysis.TokenStream input, int maxShingleSize)` Constructs a ShingleFilter with the specified shingle size from the `TokenStream` `input`
`ShingleFilter(org.apache.lucene.analysis.TokenStream input, int minShingleSize, int maxShingleSize)` Constructs a ShingleFilter with the specified shingle size from the `TokenStream` `input`
`ShingleFilter(org.apache.lucene.analysis.TokenStream input, String tokenType)` Construct a ShingleFilter with the specified token type for shingle tokens and the default shingle size: 2

Method Summary
`boolean` `incrementToken()`
`void` `reset()`
`void` `setMaxShingleSize(int maxShingleSize)` Set the max shingle size (default: 2)
`void` `setMinShingleSize(int minShingleSize)` Set the min shingle size (default: 2).
`void` `setOutputUnigrams(boolean outputUnigrams)` Shall the output stream contain the input tokens (unigrams) as well as shingles? (default: true.)
`void` `setOutputUnigramsIfNoShingles(boolean outputUnigramsIfNoShingles)` Shall we override the behavior of outputUnigrams==false for those times when no shingles are available (because there are fewer than minShingleSize tokens in the input stream)? (default: false.)
`void` `setTokenSeparator(String tokenSeparator)` Sets the string to use when joining adjacent tokens to form a shingle
`void` `setTokenType(String tokenType)` Set the type of the shingle tokens produced by this filter.

Methods inherited from class org.apache.lucene.analysis.TokenFilter
`close, end`

Methods 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`

Methods inherited from class java.lang.Object
`clone, finalize, getClass, notify, notifyAll, wait, wait, wait`

Field Detail

### FILLER_TOKEN

    public static final char[] FILLER_TOKEN

  filler token for when positionIncrement is more than 1

### DEFAULT_MAX_SHINGLE_SIZE

    public static final int DEFAULT_MAX_SHINGLE_SIZE

  default maximum shingle size is 2.

  See Also:
    Constant Field Values

### DEFAULT_MIN_SHINGLE_SIZE

    public static final int DEFAULT_MIN_SHINGLE_SIZE

  default minimum shingle size is 2.

  See Also:
    Constant Field Values

### DEFAULT_TOKEN_TYPE

    public static final String DEFAULT_TOKEN_TYPE

  default token type attribute value is "shingle"

  See Also:
    Constant Field Values

### TOKEN_SEPARATOR

    public static final String TOKEN_SEPARATOR

  The default string to use when joining adjacent tokens to form a shingle

  See Also:
    Constant Field Values

Constructor Detail

### ShingleFilter

    public ShingleFilter(org.apache.lucene.analysis.TokenStream input,
                         int minShingleSize,
                         int maxShingleSize)

  Constructs a ShingleFilter with the specified shingle size from the `TokenStream` `input`

  Parameters:
    `input` - input stream
    `minShingleSize` - minimum shingle size produced by the filter.
    `maxShingleSize` - maximum shingle size produced by the filter.

### ShingleFilter

    public ShingleFilter(org.apache.lucene.analysis.TokenStream input,
                         int maxShingleSize)

  Constructs a ShingleFilter with the specified shingle size from the `TokenStream` `input`

  Parameters:
    `input` - input stream
    `maxShingleSize` - maximum shingle size produced by the filter.

### ShingleFilter

    public ShingleFilter(org.apache.lucene.analysis.TokenStream input)

  Construct a ShingleFilter with default shingle size: 2.

  Parameters:
    `input` - input stream

### ShingleFilter

    public ShingleFilter(org.apache.lucene.analysis.TokenStream input,
                         String tokenType)

  Construct a ShingleFilter with the specified token type for shingle tokens and the default shingle size: 2

  Parameters:
    `input` - input stream
    `tokenType` - token type for shingle tokens

Method Detail

### setTokenType

    public void setTokenType(String tokenType)

  Set the type of the shingle tokens produced by this filter. (default: "shingle")

  Parameters:
    `tokenType` - token tokenType

### setOutputUnigrams

    public void setOutputUnigrams(boolean outputUnigrams)

  Shall the output stream contain the input tokens (unigrams) as well as shingles? (default: true.)

  Parameters:
    `outputUnigrams` - Whether or not the output stream shall contain the input tokens (unigrams)

### setOutputUnigramsIfNoShingles

    public void setOutputUnigramsIfNoShingles(boolean outputUnigramsIfNoShingles)

  Shall we override the behavior of outputUnigrams==false for those times when no shingles are available (because there are fewer than minShingleSize tokens in the input stream)? (default: false.)

  Note that if outputUnigrams==true, then unigrams are always output, regardless of whether any shingles are available.

  Parameters:
    `outputUnigramsIfNoShingles` - Whether or not to output a single unigram when no shingles are available.

### setMaxShingleSize

    public void setMaxShingleSize(int maxShingleSize)

  Set the max shingle size (default: 2)

  Parameters:
    `maxShingleSize` - max size of output shingles

### setMinShingleSize

    public void setMinShingleSize(int minShingleSize)

  Set the min shingle size (default: 2).

  This method requires that the passed in minShingleSize is not greater than maxShingleSize, so make sure that maxShingleSize is set before calling this method.

  The unigram output option is independent of the min shingle size.

  Parameters:
    `minShingleSize` - min size of output shingles

### setTokenSeparator

    public void setTokenSeparator(String tokenSeparator)

  Sets the string to use when joining adjacent tokens to form a shingle

  Parameters:
    `tokenSeparator` - used to separate input stream tokens in output shingles

### incrementToken

    public final boolean incrementToken()
                                 throws IOException

  Specified by:
    `incrementToken` in class `org.apache.lucene.analysis.TokenStream`
  Throws:
    `IOException`

### reset

    public void reset()
               throws IOException

  Overrides:
    `reset` in class `org.apache.lucene.analysis.TokenFilter`
  Throws:
    `IOException`