/**
* 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;
import org.apache.hadoop.hive.common.type.Decimal128;
import org.apache.hadoop.hive.common.type.HiveDecimal;
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.VectorAggregationBufferRow;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
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;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
/**
* VectorUDAFSumDecimal. Vectorized implementation for SUM aggregates.
*/
@Description(name = "sum",
value = "_FUNC_(expr) - Returns the sum value of expr (vectorized, type: decimal)")
public class VectorUDAFSumDecimal extends VectorAggregateExpression {
private static final long serialVersionUID = 1L;
/**
* class for storing the current aggregate value.
*/
private static final class Aggregation implements AggregationBuffer {
private static final long serialVersionUID = 1L;
transient private Decimal128 sum = new Decimal128();
transient private boolean isNull;
public void sumValue(Decimal128 value, short scale) {
if (isNull) {
sum.update(value, scale);
isNull = false;
} else {
sum.addDestructive(value, scale);
}
}
@Override
public int getVariableSize() {
throw new UnsupportedOperationException();
}
@Override
public void reset() {
isNull = true;
sum.zeroClear();
}
}
private VectorExpression inputExpression;
transient private final Decimal128 scratchDecimal;
public VectorUDAFSumDecimal(VectorExpression inputExpression) {
this();
this.inputExpression = inputExpression;
}
public VectorUDAFSumDecimal() {
super();
scratchDecimal = new Decimal128();
}
private Aggregation getCurrentAggregationBuffer(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
int row) {
VectorAggregationBufferRow mySet = aggregationBufferSets[row];
Aggregation myagg = (Aggregation) mySet.getAggregationBuffer(aggregateIndex);
return myagg;
}
@Override
public void aggregateInputSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
VectorizedRowBatch batch) throws HiveException {
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
inputExpression.evaluate(batch);
DecimalColumnVector inputVector = (DecimalColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
Decimal128[] vector = inputVector.vector;
if (inputVector.noNulls) {
if (inputVector.isRepeating) {
iterateNoNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector[0], inputVector.scale,
batchSize);
} else {
if (batch.selectedInUse) {
iterateNoNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector, inputVector.scale,
batch.selected, batchSize);
} else {
iterateNoNullsWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector, inputVector.scale,
batchSize);
}
}
} else {
if (inputVector.isRepeating) {
if (batch.selectedInUse) {
iterateHasNullsRepeatingSelectionWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector[0], inputVector.scale,
batchSize, batch.selected, inputVector.isNull);
} else {
iterateHasNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector[0], inputVector.scale,
batchSize, inputVector.isNull);
}
} else {
if (batch.selectedInUse) {
iterateHasNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector, inputVector.scale,
batchSize, batch.selected, inputVector.isNull);
} else {
iterateHasNullsWithAggregationSelection(
aggregationBufferSets, aggregateIndex,
vector,inputVector.scale,
batchSize, inputVector.isNull);
}
}
}
}
private void iterateNoNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128 value,
short scale,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(value, scale);
}
}
private void iterateNoNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128[] values,
short scale,
int[] selection,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(values[selection[i]], scale);
}
}
private void iterateNoNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128[] values,
short scale,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(values[i], scale);
}
}
private void iterateHasNullsRepeatingSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128 value,
short scale,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[selection[i]]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(value, scale);
}
}
}
private void iterateHasNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128 value,
short scale,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(value, scale);
}
}
}
private void iterateHasNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128[] values,
short scale,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int j=0; j < batchSize; ++j) {
int i = selection[j];
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
j);
myagg.sumValue(values[i], scale);
}
}
}
private void iterateHasNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregateIndex,
Decimal128[] values,
short scale,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregateIndex,
i);
myagg.sumValue(values[i], scale);
}
}
}
@Override
public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
throws HiveException {
inputExpression.evaluate(batch);
DecimalColumnVector inputVector = (DecimalColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
Aggregation myagg = (Aggregation)agg;
Decimal128[] vector = inputVector.vector;
if (inputVector.isRepeating) {
if ((inputVector.noNulls) || !inputVector.isNull[0]) {
if (myagg.isNull) {
myagg.isNull = false;
myagg.sum.zeroClear();
}
scratchDecimal.update(batchSize);
scratchDecimal.multiplyDestructive(vector[0], inputVector.scale);
myagg.sum.addDestructive(scratchDecimal, inputVector.scale);
}
return;
}
if (!batch.selectedInUse && inputVector.noNulls) {
iterateNoSelectionNoNulls(myagg, vector, inputVector.scale, batchSize);
}
else if (!batch.selectedInUse) {
iterateNoSelectionHasNulls(myagg, vector, inputVector.scale, batchSize, inputVector.isNull);
}
else if (inputVector.noNulls){
iterateSelectionNoNulls(myagg, vector, inputVector.scale, batchSize, batch.selected);
}
else {
iterateSelectionHasNulls(myagg, vector, inputVector.scale, batchSize, inputVector.isNull, batch.selected);
}
}
private void iterateSelectionHasNulls(
Aggregation myagg,
Decimal128[] vector,
short scale,
int batchSize,
boolean[] isNull,
int[] selected) {
for (int j=0; j< batchSize; ++j) {
int i = selected[j];
if (!isNull[i]) {
Decimal128 value = vector[i];
if (myagg.isNull) {
myagg.isNull = false;
myagg.sum.zeroClear();
}
myagg.sum.addDestructive(value, scale);
}
}
}
private void iterateSelectionNoNulls(
Aggregation myagg,
Decimal128[] vector,
short scale,
int batchSize,
int[] selected) {
if (myagg.isNull) {
myagg.sum.zeroClear();
myagg.isNull = false;
}
for (int i=0; i< batchSize; ++i) {
Decimal128 value = vector[selected[i]];
myagg.sum.addDestructive(value, scale);
}
}
private void iterateNoSelectionHasNulls(
Aggregation myagg,
Decimal128[] vector,
short scale,
int batchSize,
boolean[] isNull) {
for(int i=0;i<batchSize;++i) {
if (!isNull[i]) {
Decimal128 value = vector[i];
if (myagg.isNull) {
myagg.sum.zeroClear();
myagg.isNull = false;
}
myagg.sum.addDestructive(value, scale);
}
}
}
private void iterateNoSelectionNoNulls(
Aggregation myagg,
Decimal128[] vector,
short scale,
int batchSize) {
if (myagg.isNull) {
myagg.sum.zeroClear();
myagg.isNull = false;
}
for (int i=0;i<batchSize;++i) {
Decimal128 value = vector[i];
myagg.sum.addDestructive(value, scale);
}
}
@Override
public AggregationBuffer getNewAggregationBuffer() throws HiveException {
return new Aggregation();
}
@Override
public void reset(AggregationBuffer agg) throws HiveException {
Aggregation myAgg = (Aggregation) agg;
myAgg.reset();
}
@Override
public Object evaluateOutput(AggregationBuffer agg) throws HiveException {
Aggregation myagg = (Aggregation) agg;
if (myagg.isNull) {
return null;
}
else {
return HiveDecimal.create(myagg.sum.toBigDecimal());
}
}
@Override
public ObjectInspector getOutputObjectInspector() {
return PrimitiveObjectInspectorFactory.javaHiveDecimalObjectInspector;
}
@Override
public int getAggregationBufferFixedSize() {
JavaDataModel model = JavaDataModel.get();
return JavaDataModel.alignUp(
model.object(),
model.memoryAlign());
}
@Override
public void init(AggregationDesc desc) throws HiveException {
// No-op
}
public VectorExpression getInputExpression() {
return inputExpression;
}
public void setInputExpression(VectorExpression inputExpression) {
this.inputExpression = inputExpression;
}
}