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org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMinDouble 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.aggregates.gen;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.VectorAggregateExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriter;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriterFactory;
import org.apache.hadoop.hive.ql.exec.vector.VectorAggregationBufferRow;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.util.JavaDataModel;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
/**
* VectorUDAFMinDouble. Vectorized implementation for MIN/MAX aggregates.
*/
@Description(name = "min",
value = "_FUNC_(expr) - Returns the minimum value of expr (vectorized, type: double)")
public class VectorUDAFMinDouble extends VectorAggregateExpression {
private static final long serialVersionUID = 1L;
/**
* class for storing the current aggregate value.
*/
static private final class Aggregation implements AggregationBuffer {
private static final long serialVersionUID = 1L;
transient private double value;
/**
* Value is explicitly (re)initialized in reset()
*/
transient private boolean isNull = true;
public void checkValue(double value) {
if (isNull) {
isNull = false;
this.value = value;
} else if (value < this.value) {
this.value = value;
}
}
@Override
public int getVariableSize() {
throw new UnsupportedOperationException();
}
@Override
public void reset () {
isNull = true;
value = 0;
}
}
private VectorExpression inputExpression;
private transient VectorExpressionWriter resultWriter;
public VectorUDAFMinDouble(VectorExpression inputExpression) {
this();
this.inputExpression = inputExpression;
}
public VectorUDAFMinDouble() {
super();
}
@Override
public void init(AggregationDesc desc) throws HiveException {
resultWriter = VectorExpressionWriterFactory.genVectorExpressionWritable(
desc.getParameters().get(0));
}
private Aggregation getCurrentAggregationBuffer(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
int row) {
VectorAggregationBufferRow mySet = aggregationBufferSets[row];
Aggregation myagg = (Aggregation) mySet.getAggregationBuffer(aggregrateIndex);
return myagg;
}
@Override
public void aggregateInputSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
VectorizedRowBatch batch) throws HiveException {
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
inputExpression.evaluate(batch);
DoubleColumnVector inputVector = (DoubleColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
double[] vector = inputVector.vector;
if (inputVector.noNulls) {
if (inputVector.isRepeating) {
iterateNoNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector[0], batchSize);
} else {
if (batch.selectedInUse) {
iterateNoNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector, batch.selected, batchSize);
} else {
iterateNoNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector, batchSize);
}
}
} else {
if (inputVector.isRepeating) {
if (batch.selectedInUse) {
iterateHasNullsRepeatingSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector[0], batchSize, batch.selected, inputVector.isNull);
} else {
iterateHasNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector[0], batchSize, inputVector.isNull);
}
} else {
if (batch.selectedInUse) {
iterateHasNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector, batchSize, batch.selected, inputVector.isNull);
} else {
iterateHasNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
vector, batchSize, inputVector.isNull);
}
}
}
}
private void iterateNoNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double value,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(value);
}
}
private void iterateNoNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double[] values,
int[] selection,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(values[selection[i]]);
}
}
private void iterateNoNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double[] values,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(values[i]);
}
}
private void iterateHasNullsRepeatingSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double value,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[selection[i]]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(value);
}
}
}
private void iterateHasNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double value,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(value);
}
}
}
private void iterateHasNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double[] values,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int j=0; j < batchSize; ++j) {
int i = selection[j];
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
j);
myagg.checkValue(values[i]);
}
}
}
private void iterateHasNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
double[] values,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(values[i]);
}
}
}
@Override
public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
throws HiveException {
inputExpression.evaluate(batch);
DoubleColumnVector inputVector = (DoubleColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
Aggregation myagg = (Aggregation)agg;
double[] vector = inputVector.vector;
if (inputVector.isRepeating) {
if (inputVector.noNulls &&
(myagg.isNull || (vector[0] < myagg.value))) {
myagg.isNull = false;
myagg.value = vector[0];
}
return;
}
if (!batch.selectedInUse && inputVector.noNulls) {
iterateNoSelectionNoNulls(myagg, vector, batchSize);
}
else if (!batch.selectedInUse) {
iterateNoSelectionHasNulls(myagg, vector, batchSize, inputVector.isNull);
}
else if (inputVector.noNulls){
iterateSelectionNoNulls(myagg, vector, batchSize, batch.selected);
}
else {
iterateSelectionHasNulls(myagg, vector, batchSize, inputVector.isNull, batch.selected);
}
}
private void iterateSelectionHasNulls(
Aggregation myagg,
double[] vector,
int batchSize,
boolean[] isNull,
int[] selected) {
for (int j=0; j< batchSize; ++j) {
int i = selected[j];
if (!isNull[i]) {
double value = vector[i];
if (myagg.isNull) {
myagg.isNull = false;
myagg.value = value;
}
else if (value < myagg.value) {
myagg.value = value;
}
}
}
}
private void iterateSelectionNoNulls(
Aggregation myagg,
double[] vector,
int batchSize,
int[] selected) {
if (myagg.isNull) {
myagg.value = vector[selected[0]];
myagg.isNull = false;
}
for (int i=0; i< batchSize; ++i) {
double value = vector[selected[i]];
if (value < myagg.value) {
myagg.value = value;
}
}
}
private void iterateNoSelectionHasNulls(
Aggregation myagg,
double[] vector,
int batchSize,
boolean[] isNull) {
for(int i=0;i
