org.apache.hadoop.hive.ql.exec.vector.expressions.FuncDecimalToLong Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.hadoop.hive.ql.exec.vector.expressions;
import java.util.Arrays;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
/**
* This is a superclass for unary decimal functions and expressions returning integers that
* operate directly on the input and set the output.
*/
public abstract class FuncDecimalToLong extends VectorExpression {
private static final long serialVersionUID = 1L;
private final int inputColumn;
private transient boolean integerPrimitiveCategoryKnown = false;
protected transient PrimitiveCategory integerPrimitiveCategory;
public FuncDecimalToLong(int inputColumn, int outputColumnNum) {
super(outputColumnNum);
this.inputColumn = inputColumn;
}
public FuncDecimalToLong() {
super();
// Dummy final assignments.
inputColumn = -1;
}
abstract protected void func(LongColumnVector outputColVector, DecimalColumnVector inputColVector, int i);
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
if (!integerPrimitiveCategoryKnown) {
integerPrimitiveCategory = ((PrimitiveTypeInfo) outputTypeInfo).getPrimitiveCategory();
integerPrimitiveCategoryKnown = true;
}
DecimalColumnVector inputColVector = (DecimalColumnVector) batch.cols[inputColumn];
int[] sel = batch.selected;
int n = batch.size;
LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumnNum];
boolean[] inputIsNull = inputColVector.isNull;
boolean[] outputIsNull = outputColVector.isNull;
if (n == 0) {
// Nothing to do
return;
}
// We do not need to do a column reset since we are carefully changing the output.
outputColVector.isRepeating = false;
if (inputColVector.isRepeating) {
if (inputColVector.noNulls || !inputIsNull[0]) {
// Set isNull before call in case it changes it mind.
outputIsNull[0] = false;
func(outputColVector, inputColVector, 0);
} else {
outputIsNull[0] = true;
outputColVector.noNulls = false;
}
outputColVector.isRepeating = true;
return;
}
if (inputColVector.noNulls) {
if (batch.selectedInUse) {
// CONSIDER: For large n, fill n or all of isNull array and use the tighter ELSE loop.
if (!outputColVector.noNulls) {
for(int j = 0; j != n; j++) {
final int i = sel[j];
// Set isNull before call in case it changes it mind.
outputIsNull[i] = false;
func(outputColVector, inputColVector, i);
}
} else {
for(int j = 0; j != n; j++) {
final int i = sel[j];
func(outputColVector, inputColVector, i);
}
}
} else {
if (!outputColVector.noNulls) {
// Assume it is almost always a performance win to fill all of isNull so we can
// safely reset noNulls.
Arrays.fill(outputIsNull, false);
outputColVector.noNulls = true;
}
for(int i = 0; i != n; i++) {
func(outputColVector, inputColVector, i);
}
}
} else /* there are nulls in the inputColVector */ {
// Carefully handle NULLs...
outputColVector.noNulls = false;
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outputColVector.isNull[i] = inputColVector.isNull[i];
if (!inputColVector.isNull[i]) {
func(outputColVector, inputColVector, i);
}
}
} else {
System.arraycopy(inputColVector.isNull, 0, outputColVector.isNull, 0, n);
for(int i = 0; i != n; i++) {
if (!inputColVector.isNull[i]) {
func(outputColVector, inputColVector, i);
}
}
}
}
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, inputColumn);
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder();
b.setMode(VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(1)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.DECIMAL)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN);
return b.build();
}
}