@ExperimentalApi @SearchPrimitive

Package com.atlassian.confluence.search.v2.score

This package provides search engine agnostic primitives required to construct FunctionScoreQuery.

See: Description

Interface Summary

Interface	Description
ComposableScoreFunction	Marker interface for a function that can be composed by e.g.
FieldValueSource	Specifies a numerical field from which data will be drawn for score function.
ScoreFunction	Marker interface for a function providing score for FunctionScoreQuery.

Class Summary

Class	Description
AverageScoreFunction	Scores of component functions are averaged according to weights.
AverageScoreFunction.Builder
DecayParameters	Parameters for decay function.
DecayParameters.Builder
DoubleFieldValueSource	Represents field its value is of type double.
ExpDecayFunction	Exponential decay function applied to a field value.
FieldValueFactorFunction
FloatFieldValueSource	Represents field its value is of type float.
GaussDecayFunction	Gaussian decay function applied to a field value.
IntFieldValueSource	Represents field its value is of type int.
LinearDecayFunction	Linear decay function applied to a field value.
LongFieldValueSource	Represents field its value is of type long.
MaxScoreFunction	Maximum score of component functions is used.
MinScoreFunction	Minimum score of component functions is used.
MultiplyScoreFunction	Scores of component functions are multiplied.
StaircaseFunction	Staircase decay function applied to a field value.
SumScoreFunction	Scores of component functions are summed.

Enum Summary

Enum	Description
FieldValueFactorFunction.Modifier	The Type class encapsulates the modification types that can be applied to the score/value product.

Package com.atlassian.confluence.search.v2.score Description

This package provides search engine agnostic primitives required to construct FunctionScoreQuery. It was designed to work when the search engine is remote. Classes encapsulate just enough information for mapping FunctionScoreQuery to a concrete search engine implementation. The inspiration has been taken from Elasticsearch function score query.

Since:

7.0