org.apache.hadoop.hive.ql.exec.vector.expressions.gen.FilterLongColEqualDoubleColumn Maven / Gradle / Ivy
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* 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,
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* See the License for the specific language governing permissions and
* limitations under the License.
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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.expressions.NullUtil;
import org.apache.hadoop.hive.ql.exec.vector.*;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.metadata.HiveException;
/**
* Generated from template FilterColumnCompareColumn.txt, which covers binary comparison
* expressions between two columns, however output is not produced in a separate column.
* The selected vector of the input {@link VectorizedRowBatch} is updated for in-place filtering.
*/
public class FilterLongColEqualDoubleColumn extends VectorExpression {
private static final long serialVersionUID = 1L;
protected final int colNum1;
protected final int colNum2;
public FilterLongColEqualDoubleColumn(int colNum1, int colNum2) {
super();
this.colNum1 = colNum1;
this.colNum2 = colNum2;
}
public FilterLongColEqualDoubleColumn() {
super();
// Dummy final assignments.
colNum1 = -1;
colNum2 = -1;
}
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException {
// return immediately if batch is empty
int n = batch.size;
if (n == 0) {
return;
}
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
int[] sel = batch.selected;
boolean[] nullPos1 = inputColVector1.isNull;
boolean[] nullPos2 = inputColVector2.isNull;
long[] vector1 = inputColVector1.vector;
double[] vector2 = inputColVector2.vector;
// filter rows with NULL on left input
int newSize;
newSize = NullUtil.filterNulls(batch.cols[colNum1], batch.selectedInUse, sel, n);
if (newSize < n) {
n = batch.size = newSize;
batch.selectedInUse = true;
}
// filter rows with NULL on right input
newSize = NullUtil.filterNulls(batch.cols[colNum2], batch.selectedInUse, sel, n);
if (newSize < n) {
n = batch.size = newSize;
batch.selectedInUse = true;
}
// All rows with nulls have been filtered out, so just do normal filter for non-null case
if (n != 0 && inputColVector1.isRepeating && inputColVector2.isRepeating) {
if (!(vector1[0] == vector2[0])) {
batch.size = 0;
}
} else if (inputColVector1.isRepeating) {
if (batch.selectedInUse) {
newSize = 0;
for(int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[0] == vector2[i]) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
newSize = 0;
for(int i = 0; i != n; i++) {
if (vector1[0] == vector2[i]) {
sel[newSize++] = i;
}
}
if (newSize < batch.size) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
} else if (inputColVector2.isRepeating) {
if (batch.selectedInUse) {
newSize = 0;
for(int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[i] == vector2[0]) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
newSize = 0;
for(int i = 0; i != n; i++) {
if (vector1[i] == vector2[0]) {
sel[newSize++] = i;
}
}
if (newSize < batch.size) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
} else if (batch.selectedInUse) {
newSize = 0;
for(int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[i] == vector2[i]) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
newSize = 0;
for(int i = 0; i != n; i++) {
if (vector1[i] == vector2[i]) {
sel[newSize++] = i;
}
}
if (newSize < batch.size) {
batch.size = newSize;
batch.selectedInUse = true;
}
}
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, colNum1) + ", " + getColumnParamString(1, colNum2);
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.FILTER)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.getType("long"),
VectorExpressionDescriptor.ArgumentType.getType("double"))
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.COLUMN).build();
}
}