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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.
// This file is copied from
// https://github.com/ClickHouse/ClickHouse/blob/master/src/AggregateFunctions/ColumnDecimal.h
// and modified by Doris
#pragma once
#include <glog/logging.h>
#include <pdqsort.h>
#include <stdint.h>
#include <string.h>
#include <sys/types.h>
#include <algorithm>
#include <boost/iterator/iterator_facade.hpp>
#include <vector>
#include "runtime/primitive_type.h"
#include "vec/columns/column.h"
#include "vec/common/assert_cast.h"
#include "vec/common/cow.h"
#include "vec/common/pod_array.h"
#include "vec/common/pod_array_fwd.h"
#include "vec/common/string_ref.h"
#include "vec/common/typeid_cast.h"
#include "vec/core/field.h"
#include "vec/core/types.h"
class SipHash;
namespace doris::vectorized {
#include "common/compile_check_begin.h"
class Arena;
class ColumnSorter;
/// PaddedPODArray extended by Decimal scale
template <typename T>
class DecimalPaddedPODArray : public PaddedPODArray<T> {
public:
using Base = PaddedPODArray<T>;
using Base::operator[];
DecimalPaddedPODArray(size_t size, UInt32 scale_) : Base(size), scale(scale_) {}
DecimalPaddedPODArray(const DecimalPaddedPODArray& other)
: Base(other.begin(), other.end()), scale(other.scale) {}
DecimalPaddedPODArray(DecimalPaddedPODArray&& other) {
this->swap(other);
std::swap(scale, other.scale);
}
DecimalPaddedPODArray& operator=(DecimalPaddedPODArray&& other) {
this->swap(other);
std::swap(scale, other.scale);
return *this;
}
UInt32 get_scale() const { return scale; }
private:
UInt32 scale;
};
/// A ColumnVector for Decimals
template <PrimitiveType T>
class ColumnDecimal final : public COWHelper<IColumn, ColumnDecimal<T>> {
static_assert(is_decimal(T));
private:
using Self = ColumnDecimal;
friend class COWHelper<IColumn, Self>;
public:
using value_type =
typename PrimitiveTypeTraits<T>::ColumnItemType; //TODO: replace with ValueType
using CppNativeType = typename PrimitiveTypeTraits<T>::CppNativeType;
using Container = DecimalPaddedPODArray<value_type>;
private:
ColumnDecimal(const size_t n, UInt32 scale_) : data(n, scale_), scale(scale_) {}
ColumnDecimal(const ColumnDecimal& src) : data(src.data), scale(src.scale) {}
public:
std::string get_name() const override { return type_to_string(T); }
size_t size() const override { return data.size(); }
size_t byte_size() const override { return data.size() * sizeof(data[0]); }
size_t allocated_bytes() const override { return data.allocated_bytes(); }
bool has_enough_capacity(const IColumn& src) const override {
const ColumnDecimal& src_vec = assert_cast<const ColumnDecimal&>(src);
return data.capacity() - data.size() > src_vec.size();
}
void reserve(size_t n) override { data.reserve(n); }
void resize(size_t n) override { data.resize(n); }
void insert_from(const IColumn& src, size_t n) override {
data.push_back(assert_cast<const Self&, TypeCheckOnRelease::DISABLE>(src).get_data()[n]);
}
void insert_indices_from(const IColumn& src, const uint32_t* indices_begin,
const uint32_t* indices_end) override {
auto origin_size = size();
auto new_size = indices_end - indices_begin;
data.resize(origin_size + new_size);
auto copy = [](const value_type* __restrict src, value_type* __restrict dest,
const uint32_t* __restrict begin, const uint32_t* __restrict end) {
for (auto it = begin; it != end; ++it) {
*dest = src[*it];
++dest;
}
};
copy(reinterpret_cast<const value_type*>(src.get_raw_data().data),
data.data() + origin_size, indices_begin, indices_end);
}
void insert_many_fix_len_data(const char* data_ptr, size_t num) override;
void insert_many_raw_data(const char* pos, size_t num) override {
DCHECK(pos);
size_t old_size = data.size();
data.resize(old_size + num);
memcpy(data.data() + old_size, pos, num * sizeof(value_type));
}
void insert_data(const char* pos, size_t /*length*/) override;
void insert_default() override { data.push_back(value_type()); }
void insert(const Field& x) override {
data.push_back(
doris::vectorized::get<typename PrimitiveTypeTraits<T>::NearestFieldType>(x));
}
void insert_range_from(const IColumn& src, size_t start, size_t length) override;
void insert_many_defaults(size_t length) override {
size_t old_size = data.size();
data.resize(old_size + length);
memset(data.data() + old_size, 0, length * sizeof(data[0]));
}
void insert_many_from(const IColumn& src, size_t position, size_t length) override;
void pop_back(size_t n) override { data.resize_assume_reserved(data.size() - n); }
StringRef serialize_value_into_arena(size_t n, Arena& arena, char const*& begin) const override;
const char* deserialize_and_insert_from_arena(const char* pos) override;
size_t get_max_row_byte_size() const override;
void serialize_vec(StringRef* keys, size_t num_rows) const override;
void deserialize_vec(StringRef* keys, const size_t num_rows) override;
void update_hash_with_value(size_t n, SipHash& hash) const override;
void update_hashes_with_value(uint64_t* __restrict hashes,
const uint8_t* __restrict null_data) const override;
void update_crcs_with_value(uint32_t* __restrict hashes, PrimitiveType type, uint32_t rows,
uint32_t offset,
const uint8_t* __restrict null_data) const override;
void update_xxHash_with_value(size_t start, size_t end, uint64_t& hash,
const uint8_t* __restrict null_data) const override;
void update_crc_with_value(size_t start, size_t end, uint32_t& hash,
const uint8_t* __restrict null_data) const override;
int compare_at(size_t n, size_t m, const IColumn& rhs_, int nan_direction_hint) const override;
void get_permutation(bool reverse, size_t limit, int nan_direction_hint,
IColumn::Permutation& res) const override;
MutableColumnPtr clone_resized(size_t size) const override;
Field operator[](size_t n) const override;
StringRef get_raw_data() const override {
return StringRef(reinterpret_cast<const char*>(data.data()), data.size());
}
StringRef get_data_at(size_t n) const override {
return StringRef(reinterpret_cast<const char*>(&data[n]), sizeof(data[n]));
}
void get(size_t n, Field& res) const override { res = (*this)[n]; }
bool get_bool(size_t n) const override { return bool(data[n]); }
Int64 get_int(size_t n) const override { return Int64(data[n].value * scale); }
void clear() override { data.clear(); }
ColumnPtr filter(const IColumn::Filter& filt, ssize_t result_size_hint) const override;
size_t filter(const IColumn::Filter& filter) override;
MutableColumnPtr permute(const IColumn::Permutation& perm, size_t limit) const override;
ColumnPtr replicate(const IColumn::Offsets& offsets) const override;
// void gather(ColumnGathererStream & gatherer_stream) override;
bool structure_equals(const IColumn& rhs) const override {
if (auto rhs_concrete = typeid_cast<const ColumnDecimal<T>*>(&rhs))
return scale == rhs_concrete->scale;
return false;
}
void insert_value(const value_type value) { data.push_back(value); }
Container& get_data() { return data; }
const Container& get_data() const { return data; }
const value_type& get_element(size_t n) const { return data[n]; }
value_type& get_element(size_t n) { return data[n]; }
void replace_column_data(const IColumn& rhs, size_t row, size_t self_row = 0) override {
DCHECK(size() > self_row);
data[self_row] = assert_cast<const Self&, TypeCheckOnRelease::DISABLE>(rhs).data[row];
}
void replace_column_null_data(const uint8_t* __restrict null_map) override;
void sort_column(const ColumnSorter* sorter, EqualFlags& flags, IColumn::Permutation& perms,
EqualRange& range, bool last_column) const override;
void compare_internal(size_t rhs_row_id, const IColumn& rhs, int nan_direction_hint,
int direction, std::vector<uint8_t>& cmp_res,
uint8_t* __restrict filter) const override;
UInt32 get_scale() const { return scale; }
//TODO: use CppNativeType instead of value_type
value_type get_scale_multiplier() const;
CppNativeType get_intergral_part(size_t n) const { return data[n] / get_scale_multiplier(); }
CppNativeType get_fractional_part(size_t n) const { return data[n] % get_scale_multiplier(); }
void erase(size_t start, size_t length) override {
if (start >= data.size() || length == 0) {
return;
}
length = std::min(length, data.size() - start);
size_t elements_to_move = data.size() - start - length;
memmove(data.data() + start, data.data() + start + length,
elements_to_move * sizeof(value_type));
data.resize(data.size() - length);
}
size_t serialize_impl(char* pos, const size_t row) const override;
size_t deserialize_impl(const char* pos) override;
size_t serialize_size_at(size_t row) const override { return sizeof(value_type); }
protected:
Container data;
UInt32 scale;
template <typename U>
void permutation(bool reverse, size_t limit, PaddedPODArray<U>& res) const {
size_t s = data.size();
res.resize(s);
for (U i = 0; i < s; ++i) res[i] = i;
auto sort_end = res.end();
if (limit && static_cast<double>(limit) < static_cast<double>(s) / 8.0) {
sort_end = res.begin() + limit;
if (reverse)
std::partial_sort(res.begin(), sort_end, res.end(),
[this](size_t a, size_t b) { return data[a] > data[b]; });
else
std::partial_sort(res.begin(), sort_end, res.end(),
[this](size_t a, size_t b) { return data[a] < data[b]; });
} else {
if (reverse)
pdqsort(res.begin(), res.end(),
[this](size_t a, size_t b) { return data[a] > data[b]; });
else
pdqsort(res.begin(), res.end(),
[this](size_t a, size_t b) { return data[a] < data[b]; });
}
}
void ALWAYS_INLINE decimalv2_do_crc(size_t i, uint32_t& hash) const {
const auto& dec_val = (const DecimalV2Value&)data[i];
int64_t int_val = dec_val.int_value();
int32_t frac_val = dec_val.frac_value();
hash = HashUtil::zlib_crc_hash(&int_val, sizeof(int_val), hash);
hash = HashUtil::zlib_crc_hash(&frac_val, sizeof(frac_val), hash);
};
};
using ColumnDecimal32 = ColumnDecimal<TYPE_DECIMAL32>;
using ColumnDecimal64 = ColumnDecimal<TYPE_DECIMAL64>;
using ColumnDecimal128V2 = ColumnDecimal<TYPE_DECIMALV2>;
using ColumnDecimal128V3 = ColumnDecimal<TYPE_DECIMAL128I>;
using ColumnDecimal256 = ColumnDecimal<TYPE_DECIMAL256>;
} // namespace doris::vectorized
#include "common/compile_check_end.h"