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/**
* 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.
**/
#include "expressions/aggregation/AggregationHandleSum.hpp"
#include <cstddef>
#include <cstdint>
#include <memory>
#include <utility>
#include <vector>
#include "catalog/CatalogTypedefs.hpp"
#include "expressions/aggregation/AggregationID.hpp"
#include "storage/ValueAccessorMultiplexer.hpp"
#include "threading/SpinMutex.hpp"
#include "types/Type.hpp"
#include "types/TypeFactory.hpp"
#include "types/TypeID.hpp"
#include "types/TypedValue.hpp"
#include "types/operations/binary_operations/BinaryOperation.hpp"
#include "types/operations/binary_operations/BinaryOperationFactory.hpp"
#include "types/operations/binary_operations/BinaryOperationID.hpp"
#include "glog/logging.h"
namespace quickstep {
class ColumnVector;
AggregationHandleSum::AggregationHandleSum(const Type &type)
: AggregationConcreteHandle(AggregationID::kSum),
argument_type_(type) {
// We sum Int as Long and Float as Double so that we have more headroom when
// adding many values.
TypeID type_precision_id;
switch (argument_type_.getTypeID()) {
case kInt:
case kLong:
type_precision_id = kLong;
break;
case kFloat:
case kDouble:
type_precision_id = kDouble;
break;
default:
type_precision_id = type.getTypeID();
break;
}
const Type &sum_type = TypeFactory::GetType(type_precision_id);
blank_state_.sum_ = sum_type.makeZeroValue();
// Make operators to do arithmetic:
// Add operator for summing argument values.
fast_operator_.reset(
BinaryOperationFactory::GetBinaryOperation(BinaryOperationID::kAdd)
.makeUncheckedBinaryOperatorForTypes(sum_type, argument_type_));
// Add operator for merging states.
merge_operator_.reset(
BinaryOperationFactory::GetBinaryOperation(BinaryOperationID::kAdd)
.makeUncheckedBinaryOperatorForTypes(sum_type, sum_type));
// Result is nullable, because SUM() over 0 values (or all NULL values) is
// NULL.
result_type_ = &sum_type.getNullableVersion();
}
AggregationState* AggregationHandleSum::accumulateValueAccessor(
const std::vector<MultiSourceAttributeId> &argument_ids,
const ValueAccessorMultiplexer &accessor_mux) const {
DCHECK_EQ(1u, argument_ids.size())
<< "Got wrong number of attributes for SUM: " << argument_ids.size();
const ValueAccessorSource argument_source = argument_ids.front().source;
const attribute_id argument_id = argument_ids.front().attr_id;
DCHECK(argument_source != ValueAccessorSource::kInvalid);
DCHECK_NE(argument_id, kInvalidAttributeID);
std::size_t num_tuples = 0;
TypedValue va_sum =
fast_operator_->accumulateValueAccessor(
blank_state_.sum_,
accessor_mux.getValueAccessorBySource(argument_source),
argument_id,
&num_tuples);
return new AggregationStateSum(std::move(va_sum), num_tuples == 0);
}
void AggregationHandleSum::mergeStates(const AggregationState &source,
AggregationState *destination) const {
const AggregationStateSum &sum_source =
static_cast<const AggregationStateSum &>(source);
AggregationStateSum *sum_destination =
static_cast<AggregationStateSum *>(destination);
SpinMutexLock lock(sum_destination->mutex_);
sum_destination->sum_ = merge_operator_->applyToTypedValues(
sum_destination->sum_, sum_source.sum_);
sum_destination->null_ = sum_destination->null_ && sum_source.null_;
}
void AggregationHandleSum::mergeStates(const std::uint8_t *source,
std::uint8_t *destination) const {
const TypedValue *src_sum_ptr =
reinterpret_cast<const TypedValue *>(source + blank_state_.sum_offset_);
const bool *src_null_ptr =
reinterpret_cast<const bool *>(source + blank_state_.null_offset_);
TypedValue *dst_sum_ptr =
reinterpret_cast<TypedValue *>(destination + blank_state_.sum_offset_);
bool *dst_null_ptr =
reinterpret_cast<bool *>(destination + blank_state_.null_offset_);
*dst_sum_ptr =
merge_operator_->applyToTypedValues(*dst_sum_ptr, *src_sum_ptr);
*dst_null_ptr = (*dst_null_ptr) && (*src_null_ptr);
}
TypedValue AggregationHandleSum::finalize(const AggregationState &state) const {
const AggregationStateSum &agg_state =
static_cast<const AggregationStateSum &>(state);
if (agg_state.null_) {
// SUM() over no values is NULL.
return result_type_->makeNullValue();
} else {
return agg_state.sum_;
}
}
ColumnVector* AggregationHandleSum::finalizeHashTable(
const AggregationStateHashTableBase &hash_table,
const std::size_t index,
std::vector<std::vector<TypedValue>> *group_by_keys) const {
return finalizeHashTableHelper<AggregationHandleSum>(
*result_type_, hash_table, index, group_by_keys);
}
AggregationState* AggregationHandleSum::aggregateOnDistinctifyHashTableForSingle(
const AggregationStateHashTableBase &distinctify_hash_table) const {
return aggregateOnDistinctifyHashTableForSingleUnaryHelper<
AggregationHandleSum, AggregationStateSum>(
distinctify_hash_table);
}
void AggregationHandleSum::aggregateOnDistinctifyHashTableForGroupBy(
const AggregationStateHashTableBase &distinctify_hash_table,
const std::size_t index,
AggregationStateHashTableBase *aggregation_hash_table) const {
aggregateOnDistinctifyHashTableForGroupByUnaryHelper<AggregationHandleSum>(
distinctify_hash_table, index, aggregation_hash_table);
}
} // namespace quickstep