Enum Class TermSuggestionBuilder.StringDistanceImpl
java.lang.Object
java.lang.Enum<TermSuggestionBuilder.StringDistanceImpl>
org.elasticsearch.search.suggest.term.TermSuggestionBuilder.StringDistanceImpl
- All Implemented Interfaces:
Serializable,Comparable<TermSuggestionBuilder.StringDistanceImpl>,Constable,Writeable
- Enclosing class:
- TermSuggestionBuilder
public static enum TermSuggestionBuilder.StringDistanceImpl
extends Enum<TermSuggestionBuilder.StringDistanceImpl>
implements Writeable
An enum representing the valid string edit distance algorithms for determining suggestions.
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Nested Class Summary
Nested classes/interfaces inherited from class java.lang.Enum
Enum.EnumDesc<E extends Enum<E>>Nested classes/interfaces inherited from interface org.elasticsearch.common.io.stream.Writeable
Writeable.Reader<V>, Writeable.Writer<V> -
Enum Constant Summary
Enum ConstantsEnum ConstantDescriptionString distance algorithm based on Damerau-Levenshtein algorithm.This is the default and is based ondamerau_levenshtein, but highly optimized for comparing string distance for terms inside the index.String distance algorithm based on Jaro-Winkler algorithm.String distance algorithm based on Levenshtein edit distance algorithm.String distance algorithm based on character n-grams. -
Method Summary
Modifier and TypeMethodDescriptionabstract org.apache.lucene.search.spell.StringDistancetoLucene()Returns the enum constant of this class with the specified name.values()Returns an array containing the constants of this enum class, in the order they are declared.voidwriteTo(StreamOutput out)Write this into the StreamOutput.
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Enum Constant Details
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INTERNAL
This is the default and is based ondamerau_levenshtein, but highly optimized for comparing string distance for terms inside the index. -
DAMERAU_LEVENSHTEIN
String distance algorithm based on Damerau-Levenshtein algorithm. -
LEVENSHTEIN
String distance algorithm based on Levenshtein edit distance algorithm. -
JARO_WINKLER
String distance algorithm based on Jaro-Winkler algorithm. -
NGRAM
String distance algorithm based on character n-grams.
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Method Details
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values
Returns an array containing the constants of this enum class, in the order they are declared.- Returns:
- an array containing the constants of this enum class, in the order they are declared
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valueOf
Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)- Parameters:
name- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException- if this enum class has no constant with the specified nameNullPointerException- if the argument is null
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writeTo
Description copied from interface:WriteableWrite this into the StreamOutput.- Specified by:
writeToin interfaceWriteable- Throws:
IOException
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readFromStream
public static TermSuggestionBuilder.StringDistanceImpl readFromStream(StreamInput in) throws IOException- Throws:
IOException
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resolve
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toLucene
public abstract org.apache.lucene.search.spell.StringDistance toLucene()
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