Package org.apache.druid.math.expr.vector

Class UnivariateObjectFunctionVectorProcessor<TInput,TOutput>

java.lang.Object

org.apache.druid.math.expr.vector.UnivariateObjectFunctionVectorProcessor<TInput,TOutput>

All Implemented Interfaces:

ExprVectorProcessor<TOutput>

Direct Known Subclasses:

LongUnivariateObjectFunctionVectorProcessor

public abstract class UnivariateObjectFunctionVectorProcessor<TInput,TOutput>
extends Object
implements ExprVectorProcessor<TOutput>

common machinery for processing single input operators and functions, which are backed by an object value instead of a primitive value (so do not need to use the null vector, and instead can check the value vector itself for nulls)

Constructor Summary

Constructors

Constructor	Description
UnivariateObjectFunctionVectorProcessor(ExprVectorProcessor<TInput> processor, TOutput outValues)

Method Summary

Modifier and Type	Method	Description
abstract ExprEvalVector<TOutput>	asEval()
ExprEvalVector<TOutput>	evalVector(Expr.VectorInputBinding bindings)
abstract void	processIndex(TInput input, TOutput output, boolean[] outputNulls, int i)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.druid.math.expr.vector.ExprVectorProcessor

getOutputType, maxVectorSize

Constructor Details

UnivariateObjectFunctionVectorProcessor

public UnivariateObjectFunctionVectorProcessor(ExprVectorProcessor<TInput> processor,
 TOutput outValues)

Method Details

evalVector

public ExprEvalVector<TOutput> evalVector(Expr.VectorInputBinding bindings)

Specified by:

evalVector in interface ExprVectorProcessor<TInput>

processIndex

public abstract void processIndex(TInput input,
 TOutput output,
 boolean[] outputNulls,
 int i)

asEval

public abstract ExprEvalVector<TOutput> asEval()