-
Notifications
You must be signed in to change notification settings - Fork 1.8k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[Enhancement] Support aggregate function map_agg.
Signed-off-by: Song Jiacheng <[email protected]>
- Loading branch information
Showing
7 changed files
with
491 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,158 @@ | ||
// Copyright 2021-present StarRocks, Inc. All rights reserved. | ||
// | ||
// 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 | ||
// | ||
// https://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. | ||
|
||
#pragma once | ||
|
||
#include <fmt/format.h> | ||
|
||
#include "column/binary_column.h" | ||
#include "column/column.h" | ||
#include "column/column_helper.h" | ||
#include "column/fixed_length_column.h" | ||
#include "column/hash_set.h" | ||
#include "column/map_column.h" | ||
#include "column/type_traits.h" | ||
#include "exprs/agg/aggregate.h" | ||
#include "exprs/function_context.h" | ||
#include "gutil/casts.h" | ||
#include "util/phmap/phmap.h" | ||
#include "util/time.h" | ||
|
||
namespace starrocks { | ||
|
||
template <LogicalType KT, typename MyHashMap = std::map<int, size_t>> | ||
struct MapAggAggregateFunctionState : public AggregateFunctionEmptyState { | ||
using KeyColumnType = RunTimeColumnType<KT>; | ||
using KeyType = typename SliceHashSet::key_type; | ||
|
||
MyHashMap hash_map; | ||
// Use column to store the values in case that the reference of the Slices disappears. | ||
ColumnPtr value_column; | ||
|
||
void update(MemPool* mem_pool, const KeyColumnType& arg_key_column, const Column& arg_value_column, size_t offset, | ||
size_t count) { | ||
if constexpr (!lt_is_string<KT>) { | ||
for (int i = offset; i < offset + count; i++) { | ||
auto key = arg_key_column.get_data()[i]; | ||
if (!hash_map.contains(key)) { | ||
auto value = arg_value_column.get(i); | ||
value_column->append_datum(value); | ||
hash_map.emplace(key, value_column->size() - 1); | ||
} | ||
} | ||
} else { | ||
for (int i = offset; i < offset + count; i++) { | ||
auto raw_key = arg_key_column.get_slice(i); | ||
KeyType key(raw_key); | ||
if (!hash_map.contains(key)) { | ||
uint8_t* pos = mem_pool->allocate(key.size); | ||
memcpy(pos, key.data, key.size); | ||
auto value = arg_value_column.get(i); | ||
value_column->append_datum(value); | ||
hash_map.emplace(Slice(pos, key.size), value_column->size() - 1); | ||
} | ||
} | ||
} | ||
} | ||
}; | ||
|
||
template <LogicalType KT, typename MyHashMap = std::map<int, size_t>> | ||
class MapAggAggregateFunction final : public AggregateFunctionBatchHelper<MapAggAggregateFunctionState<KT, MyHashMap>, | ||
MapAggAggregateFunction<KT, MyHashMap>> { | ||
public: | ||
using KeyColumnType = RunTimeColumnType<KT>; | ||
|
||
void create(FunctionContext* ctx, AggDataPtr __restrict ptr) const override { | ||
auto* state = new (ptr) MapAggAggregateFunctionState<KT, MyHashMap>; | ||
state->value_column = ctx->create_column(*ctx->get_arg_type(1), true); | ||
} | ||
|
||
void update(FunctionContext* ctx, const Column** columns, AggDataPtr __restrict state, | ||
size_t row_num) const override { | ||
// Key could not be null. | ||
if ((columns[0]->is_nullable() && columns[0]->is_null(row_num)) || columns[0]->only_null()) { | ||
return; | ||
} | ||
const auto& key_column = down_cast<const KeyColumnType&>(*ColumnHelper::get_data_column(columns[0])); | ||
this->data(state).update(ctx->mem_pool(), key_column, *columns[1], row_num, 1); | ||
} | ||
|
||
void merge(FunctionContext* ctx, const Column* column, AggDataPtr __restrict state, size_t row_num) const override { | ||
auto map_column = down_cast<const MapColumn*>(ColumnHelper::get_data_column(column)); | ||
auto& offsets = map_column->offsets().get_data(); | ||
if (offsets[row_num + 1] > offsets[row_num]) { | ||
this->data(state).update( | ||
ctx->mem_pool(), | ||
*down_cast<KeyColumnType*>(ColumnHelper::get_data_column(map_column->keys_column().get())), | ||
map_column->values(), offsets[row_num], offsets[row_num + 1] - offsets[row_num]); | ||
} | ||
} | ||
|
||
void serialize_to_column(FunctionContext* ctx, ConstAggDataPtr __restrict state, Column* to) const override { | ||
auto& state_impl = this->data(state); | ||
auto* map_column = down_cast<MapColumn*>(ColumnHelper::get_data_column(to)); | ||
|
||
auto elem_size = state_impl.hash_map.size(); | ||
|
||
auto* key_column = down_cast<KeyColumnType*>(ColumnHelper::get_data_column(map_column->keys_column().get())); | ||
if constexpr (lt_is_string<KT>) { | ||
for (const auto& entry : state_impl.hash_map) { | ||
key_column->append(Slice(entry.first.data, entry.first.size)); | ||
map_column->values_column()->append_datum(state_impl.value_column->get(entry.second)); | ||
} | ||
} else { | ||
for (const auto& entry : state_impl.hash_map) { | ||
key_column->append(entry.first); | ||
map_column->values_column()->append_datum(state_impl.value_column->get(entry.second)); | ||
} | ||
} | ||
|
||
if (to->is_nullable()) { | ||
down_cast<NullableColumn*>(to)->null_column_data().emplace_back(0); | ||
} | ||
if (map_column->keys_column()->is_nullable()) { | ||
// Key could not be NULL. | ||
auto* nullable_column = down_cast<NullableColumn*>(map_column->keys_column().get()); | ||
nullable_column->null_column_data().resize(nullable_column->null_column_data().size() + elem_size); | ||
} | ||
|
||
auto& offsets = map_column->offsets_column()->get_data(); | ||
offsets.push_back(offsets.back() + elem_size); | ||
} | ||
|
||
void finalize_to_column(FunctionContext* ctx, ConstAggDataPtr __restrict state, Column* to) const override { | ||
serialize_to_column(ctx, state, to); | ||
} | ||
|
||
void convert_to_serialize_format(FunctionContext* ctx, const Columns& src, size_t chunk_size, | ||
ColumnPtr* dst) const override { | ||
auto* column = down_cast<MapColumn*>(ColumnHelper::get_data_column(dst->get())); | ||
auto key_column = column->keys_column(); | ||
auto value_column = column->values_column(); | ||
auto& offsets = column->offsets_column()->get_data(); | ||
for (size_t i = 0; i < chunk_size; i++) { | ||
if ((src[0]->is_nullable() && src[0]->is_null(i)) || src[0]->only_null()) { | ||
offsets.push_back(offsets.back()); | ||
continue; | ||
} | ||
key_column->append(*src[0], i, 1); | ||
value_column->append(*src[1], i, 1); | ||
offsets.push_back(offsets.back() + 1); | ||
} | ||
} | ||
|
||
std::string get_name() const override { return "map_agg"; } | ||
}; | ||
|
||
} // namespace starrocks |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.