kotlin-spark-api_3.3.2_2.13/org.jetbrains.kotlinx.spark.api/NamedUserDefinedFunction2

NamedUserDefinedFunction2

class NamedUserDefinedFunction2<T1, T2, R>(    val name: String,     udf: UserDefinedFunction,     encoder: Encoder<R>) : UserDefinedFunction2<T1, T2, R> , NamedUserDefinedFunction<R, NamedUserDefinedFunction2<T1, T2, R>>

Instance of a UDF with 2 arguments with name. This UDF can be invoked with (typed) columns in a Dataset.select or selectTyped call. Alternatively it can be registered for SQL calls using register.

See also

UserDefinedFunction

Constructors

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constructor(name: String, udf: UserDefinedFunction, encoder: Encoder<R>)

Properties

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open val deterministic: Boolean

Returns true iff the UDF is deterministic, i.e. the UDF produces the same output given the same input.

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abstract val encoder: Encoder<R>
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open override val name: String
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open val nullable: Boolean

Returns true when the UDF can return a nullable value.

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abstract val udf: UserDefinedFunction

Functions

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abstract operator fun getValue(thisRef: Any?, property: KProperty<*>): NamedUserDefinedFunction2<T1, T2, R>

Converts this UserDefinedFunction to a NamedUserDefinedFunction.

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operator fun invoke(param0: Column, param1: Column): Column

Returns an expression that invokes the UDF in untyped manner, using the given arguments.

operator fun <DsType> invoke(param0: TypedColumn<DsType, T1>, param1: TypedColumn<DsType, T2>): TypedColumn<DsType, R>

Allows this UDF to be called in typed manner using columns in a Dataset.selectTyped call.

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fun invokeUntyped(param0: Column, param1: Column): Column

Returns an expression that invokes the UDF in untyped manner, using the given arguments.

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