/*
* Licensed 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 com.facebook.presto.operator.aggregation;
import com.facebook.presto.spi.block.Block;
import com.facebook.presto.spi.block.BlockBuilder;
import com.facebook.presto.spi.block.BlockCursor;
import com.facebook.presto.operator.GroupByIdBlock;
import com.facebook.presto.util.array.BooleanBigArray;
import com.facebook.presto.util.array.DoubleBigArray;
import com.google.common.base.Optional;
import static com.facebook.presto.spi.type.DoubleType.DOUBLE;
import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkState;
public class DoubleSumAggregation
extends SimpleAggregationFunction
{
public static final DoubleSumAggregation DOUBLE_SUM = new DoubleSumAggregation();
public DoubleSumAggregation()
{
super(DOUBLE, DOUBLE, DOUBLE);
}
@Override
protected GroupedAccumulator createGroupedAccumulator(Optional<Integer> maskChannel, Optional<Integer> sampleWeightChannel, double confidence, int valueChannel)
{
checkArgument(confidence == 1.0, "sum does not support approximate queries");
return new DoubleSumGroupedAccumulator(valueChannel, maskChannel, sampleWeightChannel);
}
public static class DoubleSumGroupedAccumulator
extends SimpleGroupedAccumulator
{
private final BooleanBigArray notNull;
private final DoubleBigArray sums;
public DoubleSumGroupedAccumulator(int valueChannel, Optional<Integer> maskChannel, Optional<Integer> sampleWeightChannel)
{
super(valueChannel, DOUBLE, DOUBLE, maskChannel, sampleWeightChannel);
this.notNull = new BooleanBigArray();
this.sums = new DoubleBigArray();
}
@Override
public long getEstimatedSize()
{
return notNull.sizeOf() + sums.sizeOf();
}
@Override
protected void processInput(GroupByIdBlock groupIdsBlock, Block valuesBlock, Optional<Block> maskBlock, Optional<Block> sampleWeightBlock)
{
notNull.ensureCapacity(groupIdsBlock.getGroupCount());
sums.ensureCapacity(groupIdsBlock.getGroupCount());
BlockCursor values = valuesBlock.cursor();
BlockCursor masks = null;
if (maskBlock.isPresent()) {
masks = maskBlock.get().cursor();
}
BlockCursor sampleWeights = null;
if (sampleWeightBlock.isPresent()) {
sampleWeights = sampleWeightBlock.get().cursor();
}
for (int position = 0; position < groupIdsBlock.getPositionCount(); position++) {
checkState(values.advanceNextPosition());
checkState(masks == null || masks.advanceNextPosition());
checkState(sampleWeights == null || sampleWeights.advanceNextPosition());
long groupId = groupIdsBlock.getGroupId(position);
long sampleWeight = computeSampleWeight(masks, sampleWeights);
if (!values.isNull() && sampleWeight > 0) {
notNull.set(groupId, true);
double value = values.getDouble();
sums.add(groupId, sampleWeight * value);
}
}
checkState(!values.advanceNextPosition());
}
@Override
public void evaluateFinal(int groupId, BlockBuilder output)
{
if (notNull.get((long) groupId)) {
double value = sums.get((long) groupId);
output.appendDouble(value);
}
else {
output.appendNull();
}
}
}
@Override
protected Accumulator createAccumulator(Optional<Integer> maskChannel, Optional<Integer> sampleWeightChannel, double confidence, int valueChannel)
{
checkArgument(confidence == 1.0, "sum does not support approximate queries");
return new DoubleSumAccumulator(valueChannel, maskChannel, sampleWeightChannel);
}
public static class DoubleSumAccumulator
extends SimpleAccumulator
{
private boolean notNull;
private double sum;
public DoubleSumAccumulator(int valueChannel, Optional<Integer> maskChannel, Optional<Integer> sampleWeightChannel)
{
super(valueChannel, DOUBLE, DOUBLE, maskChannel, sampleWeightChannel);
}
@Override
protected void processInput(Block block, Optional<Block> maskBlock, Optional<Block> sampleWeightBlock)
{
BlockCursor intermediates = block.cursor();
BlockCursor masks = null;
if (maskBlock.isPresent()) {
masks = maskBlock.get().cursor();
}
BlockCursor sampleWeights = null;
if (sampleWeightBlock.isPresent()) {
sampleWeights = sampleWeightBlock.get().cursor();
}
for (int position = 0; position < block.getPositionCount(); position++) {
checkState(intermediates.advanceNextPosition());
checkState(masks == null || masks.advanceNextPosition());
checkState(sampleWeights == null || sampleWeights.advanceNextPosition());
long sampleWeight = computeSampleWeight(masks, sampleWeights);
if (!intermediates.isNull() && sampleWeight > 0) {
notNull = true;
sum += sampleWeight * intermediates.getDouble();
}
}
}
@Override
public void evaluateFinal(BlockBuilder out)
{
if (notNull) {
out.appendDouble(sum);
}
else {
out.appendNull();
}
}
}
}