org.apache.hadoop.hive.ql.exec.vector.expressions.gen.FilterDecimalColGreaterEqualDecimalScalar Maven / Gradle / Ivy
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.exec.vector.expressions.gen;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.common.type.Decimal128;
/**
* This is a generated class to evaluate a >= comparison on a vector of decimal
* values.
*/
public class FilterDecimalColGreaterEqualDecimalScalar extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum;
private Decimal128 value;
public FilterDecimalColGreaterEqualDecimalScalar(int colNum, Decimal128 value) {
this.colNum = colNum;
this.value = value;
}
public FilterDecimalColGreaterEqualDecimalScalar() {
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
DecimalColumnVector inputColVector = (DecimalColumnVector) batch.cols[colNum];
int[] sel = batch.selected;
boolean[] nullPos = inputColVector.isNull;
int n = batch.size;
Decimal128[] vector = inputColVector.vector;
// return immediately if batch is empty
if (n == 0) {
return;
}
if (inputColVector.noNulls) {
if (inputColVector.isRepeating) {
// All must be selected otherwise size would be zero. Repeating property will not change.
if (!(vector[0].compareTo(value) >= 0)) {
// Entire batch is filtered out.
batch.size = 0;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for(int j = 0; j != n; j++) {
int i = sel[j];
if (vector[i].compareTo(value) >= 0) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
int newSize = 0;
for(int i = 0; i != n; i++) {
if (vector[i].compareTo(value) >= 0) {
sel[newSize++] = i;
}
}
if (newSize < n) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
} else {
if (inputColVector.isRepeating) {
// All must be selected otherwise size would be zero. Repeating property will not change.
if (!nullPos[0]) {
if (!(vector[0].compareTo(value) >= 0)) {
// Entire batch is filtered out.
batch.size = 0;
}
} else {
batch.size = 0;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for(int j = 0; j != n; j++) {
int i = sel[j];
if (!nullPos[i]) {
if (vector[i].compareTo(value) >= 0) {
sel[newSize++] = i;
}
}
}
// Change the selected vector
batch.size = newSize;
} else {
int newSize = 0;
for(int i = 0; i != n; i++) {
if (!nullPos[i]) {
if (vector[i].compareTo(value) >= 0) {
sel[newSize++] = i;
}
}
}
if (newSize < n) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
}
}
@Override
public int getOutputColumn() {
return -1;
}
@Override
public String getOutputType() {
return "boolean";
}
public int getColNum() {
return colNum;
}
public void setColNum(int colNum) {
this.colNum = colNum;
}
public Decimal128 getValue() {
return value;
}
public void setValue(Decimal128 value) {
this.value = value;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.FILTER)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.getType("decimal"),
VectorExpressionDescriptor.ArgumentType.getType("decimal"))
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
}
}