Files
doris/be/src/vec/functions/function_bitmap.cpp

822 lines
34 KiB
C++

// 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/Functions/FunctionBitmap.h
// and modified by Doris
#include "gutil/strings/numbers.h"
#include "gutil/strings/split.h"
#include "util/string_parser.hpp"
#include "vec/columns/column.h"
#include "vec/columns/column_array.h"
#include "vec/columns/columns_number.h"
#include "vec/data_types/data_type_array.h"
#include "vec/data_types/data_type_number.h"
#include "vec/data_types/data_type_string.h"
#include "vec/functions/function_always_not_nullable.h"
#include "vec/functions/function_bitmap_min_or_max.h"
#include "vec/functions/function_const.h"
#include "vec/functions/function_string.h"
#include "vec/functions/function_totype.h"
#include "vec/functions/simple_function_factory.h"
namespace doris::vectorized {
struct BitmapEmpty {
static constexpr auto name = "bitmap_empty";
using ReturnColVec = ColumnBitmap;
static DataTypePtr get_return_type() { return std::make_shared<DataTypeBitMap>(); }
static auto init_value() { return BitmapValue {}; }
};
struct ToBitmap {
static constexpr auto name = "to_bitmap";
using ReturnType = DataTypeBitMap;
template <typename ColumnType>
static void vector(const ColumnType* col, MutableColumnPtr& col_res) {
execute<ColumnType, false>(col, nullptr, col_res);
}
template <typename ColumnType>
static void vector_nullable(const ColumnType* col, const NullMap& nullmap,
MutableColumnPtr& col_res) {
execute<ColumnType, true>(col, &nullmap, col_res);
}
template <typename ColumnType, bool arg_is_nullable>
static void execute(const ColumnType* col, const NullMap* nullmap, MutableColumnPtr& col_res) {
if constexpr (std::is_same_v<ColumnType, ColumnString>) {
const ColumnString::Chars& data = col->get_chars();
const ColumnString::Offsets& offsets = col->get_offsets();
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = offsets.size();
for (size_t i = 0; i < size; ++i) {
if (arg_is_nullable && ((*nullmap)[i])) {
continue;
} else {
const char* raw_str = reinterpret_cast<const char*>(&data[offsets[i - 1]]);
size_t str_size = offsets[i] - offsets[i - 1];
StringParser::ParseResult parse_result = StringParser::PARSE_SUCCESS;
uint64_t int_value = StringParser::string_to_unsigned_int<uint64_t>(
raw_str, str_size, &parse_result);
if (LIKELY(parse_result == StringParser::PARSE_SUCCESS)) {
res_data[i].add(int_value);
}
}
}
} else if constexpr (std::is_same_v<ColumnType, ColumnInt64>) {
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = col->size();
for (size_t i = 0; i < size; ++i) {
if (arg_is_nullable && ((*nullmap)[i])) {
continue;
} else {
int64_t int_value = col->get_data()[i];
if (LIKELY(int_value >= 0)) {
res_data[i].add(int_value);
}
}
}
}
}
};
struct ToBitmapWithCheck {
static constexpr auto name = "to_bitmap_with_check";
using ReturnType = DataTypeBitMap;
template <typename ColumnType>
static Status vector(const ColumnType* col, MutableColumnPtr& col_res) {
return execute<ColumnType, false>(col, nullptr, col_res);
}
template <typename ColumnType>
static Status vector_nullable(const ColumnType* col, const NullMap& nullmap,
MutableColumnPtr& col_res) {
return execute<ColumnType, true>(col, &nullmap, col_res);
}
template <typename ColumnType, bool arg_is_nullable>
static Status execute(const ColumnType* col, const NullMap* nullmap,
MutableColumnPtr& col_res) {
if constexpr (std::is_same_v<ColumnType, ColumnString>) {
const ColumnString::Chars& data = col->get_chars();
const ColumnString::Offsets& offsets = col->get_offsets();
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = offsets.size();
for (size_t i = 0; i < size; ++i) {
if (arg_is_nullable && ((*nullmap)[i])) {
continue;
} else {
const char* raw_str = reinterpret_cast<const char*>(&data[offsets[i - 1]]);
size_t str_size = offsets[i] - offsets[i - 1];
StringParser::ParseResult parse_result = StringParser::PARSE_SUCCESS;
uint64_t int_value = StringParser::string_to_unsigned_int<uint64_t>(
raw_str, str_size, &parse_result);
if (LIKELY(parse_result == StringParser::PARSE_SUCCESS)) {
res_data[i].add(int_value);
} else {
std::stringstream ss;
ss << "The input: " << std::string(raw_str, str_size)
<< " is not valid, to_bitmap only support bigint value from 0 to "
"18446744073709551615 currently, cannot create MV with to_bitmap on "
"column with negative values or cannot load negative values to "
"column "
"with to_bitmap MV on it.";
LOG(WARNING) << ss.str();
return Status::InternalError(ss.str());
}
}
}
} else if constexpr (std::is_same_v<ColumnType, ColumnInt64>) {
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = col->size();
for (size_t i = 0; i < size; ++i) {
if (arg_is_nullable && ((*nullmap)[i])) {
continue;
} else {
int64_t int_value = col->get_data()[i];
if (LIKELY(int_value >= 0)) {
res_data[i].add(int_value);
} else {
std::stringstream ss;
ss << "The input: " << int_value
<< " is not valid, to_bitmap only support bigint value from 0 to "
"18446744073709551615 currently, cannot create MV with to_bitmap on "
"column with negative values or cannot load negative values to "
"column "
"with to_bitmap MV on it.";
LOG(WARNING) << ss.str();
return Status::InternalError(ss.str());
}
}
}
} else {
return Status::InternalError("not support type");
}
return Status::OK();
}
};
struct BitmapFromString {
using ArgumentType = DataTypeString;
static constexpr auto name = "bitmap_from_string";
static Status vector(const ColumnString::Chars& data, const ColumnString::Offsets& offsets,
std::vector<BitmapValue>& res, NullMap& null_map,
size_t input_rows_count) {
res.reserve(input_rows_count);
std::vector<uint64_t> bits;
if (offsets.size() == 0 && input_rows_count == 1) {
// For NULL constant
res.emplace_back();
null_map[0] = 1;
return Status::OK();
}
for (size_t i = 0; i < input_rows_count; ++i) {
const char* raw_str = reinterpret_cast<const char*>(&data[offsets[i - 1]]);
int64_t str_size = offsets[i] - offsets[i - 1];
if ((str_size > INT32_MAX) ||
!(SplitStringAndParse({raw_str, (int)str_size}, ",", &safe_strtou64, &bits))) {
res.emplace_back();
null_map[i] = 1;
continue;
}
res.emplace_back(bits);
bits.clear();
}
return Status::OK();
}
};
struct BitmapFromArray {
using ArgumentType = DataTypeArray;
static constexpr auto name = "bitmap_from_array";
template <typename ColumnType>
static Status vector(const ColumnArray::Offsets64& offset_column_data,
const IColumn& nested_column, const NullMap& nested_null_map,
std::vector<BitmapValue>& res, NullMap& null_map) {
const auto& nested_column_data = static_cast<const ColumnType&>(nested_column).get_data();
auto size = offset_column_data.size();
res.reserve(size);
std::vector<uint64_t> bits;
for (size_t i = 0; i < size; ++i) {
auto curr_offset = offset_column_data[i];
auto prev_offset = offset_column_data[i - 1];
for (auto j = prev_offset; j < curr_offset; ++j) {
auto data = nested_column_data[j];
// invaild value
if (UNLIKELY(data < 0) || UNLIKELY(nested_null_map[j])) {
res.emplace_back();
null_map[i] = 1;
break;
} else {
bits.push_back(data);
}
}
//input is valid value
if (!null_map[i]) {
res.emplace_back(bits);
bits.clear();
}
}
return Status::OK();
}
};
template <typename Impl>
class FunctionBitmapAlwaysNull : public IFunction {
public:
static constexpr auto name = Impl::name;
String get_name() const override { return name; }
static FunctionPtr create() { return std::make_shared<FunctionBitmapAlwaysNull>(); }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return make_nullable(std::make_shared<DataTypeBitMap>());
}
size_t get_number_of_arguments() const override { return 1; }
bool use_default_implementation_for_nulls() const override { return true; }
bool use_default_implementation_for_constants() const override { return true; }
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
size_t result, size_t input_rows_count) override {
auto res_null_map = ColumnUInt8::create(input_rows_count, 0);
auto res_data_column = ColumnBitmap::create();
auto& null_map = res_null_map->get_data();
auto& res = res_data_column->get_data();
ColumnPtr argument_column =
block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
if constexpr (std::is_same_v<typename Impl::ArgumentType, DataTypeString>) {
const auto& str_column = static_cast<const ColumnString&>(*argument_column);
const ColumnString::Chars& data = str_column.get_chars();
const ColumnString::Offsets& offsets = str_column.get_offsets();
Impl::vector(data, offsets, res, null_map, input_rows_count);
} else if constexpr (std::is_same_v<typename Impl::ArgumentType, DataTypeArray>) {
auto argument_type = remove_nullable(
assert_cast<const DataTypeArray&>(*block.get_by_position(arguments[0]).type)
.get_nested_type());
const auto& array_column = static_cast<const ColumnArray&>(*argument_column);
const auto& offset_column_data = array_column.get_offsets();
const auto& nested_nullable_column =
static_cast<const ColumnNullable&>(array_column.get_data());
const auto& nested_column = nested_nullable_column.get_nested_column();
const auto& nested_null_map = nested_nullable_column.get_null_map_column().get_data();
if (check_column<ColumnInt8>(nested_column)) {
Impl::template vector<ColumnInt8>(offset_column_data, nested_column,
nested_null_map, res, null_map);
} else if (check_column<ColumnInt16>(nested_column)) {
Impl::template vector<ColumnInt16>(offset_column_data, nested_column,
nested_null_map, res, null_map);
} else if (check_column<ColumnInt32>(nested_column)) {
Impl::template vector<ColumnInt32>(offset_column_data, nested_column,
nested_null_map, res, null_map);
} else if (check_column<ColumnInt64>(nested_column)) {
Impl::template vector<ColumnInt64>(offset_column_data, nested_column,
nested_null_map, res, null_map);
}
} else {
return Status::RuntimeError("Illegal column {} of argument of function {}",
block.get_by_position(arguments[0]).column->get_name(),
get_name());
}
block.get_by_position(result).column =
ColumnNullable::create(std::move(res_data_column), std::move(res_null_map));
return Status::OK();
}
};
template <int HashBits>
struct BitmapHashName {};
template <>
struct BitmapHashName<32> {
static constexpr auto name = "bitmap_hash";
};
template <>
struct BitmapHashName<64> {
static constexpr auto name = "bitmap_hash64";
};
template <int HashBits>
struct BitmapHash {
static constexpr auto name = BitmapHashName<HashBits>::name;
using ReturnType = DataTypeBitMap;
template <typename ColumnType>
static void vector(const ColumnType* col, MutableColumnPtr& col_res) {
if constexpr (std::is_same_v<ColumnType, ColumnString>) {
const ColumnString::Chars& data = col->get_chars();
const ColumnString::Offsets& offsets = col->get_offsets();
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = offsets.size();
for (size_t i = 0; i < size; ++i) {
const char* raw_str = reinterpret_cast<const char*>(&data[offsets[i - 1]]);
size_t str_size = offsets[i] - offsets[i - 1];
if constexpr (HashBits == 32) {
uint32_t hash_value =
HashUtil::murmur_hash3_32(raw_str, str_size, HashUtil::MURMUR3_32_SEED);
res_data[i].add(hash_value);
} else {
uint64_t hash_value = 0;
murmur_hash3_x64_64(raw_str, str_size, 0, &hash_value);
res_data[i].add(hash_value);
}
}
}
}
template <typename ColumnType>
static void vector_nullable(const ColumnType* col, const NullMap& nullmap,
MutableColumnPtr& col_res) {
if constexpr (std::is_same_v<ColumnType, ColumnString>) {
const ColumnString::Chars& data = col->get_chars();
const ColumnString::Offsets& offsets = col->get_offsets();
auto* res_column = reinterpret_cast<ColumnBitmap*>(col_res.get());
auto& res_data = res_column->get_data();
size_t size = offsets.size();
for (size_t i = 0; i < size; ++i) {
if (nullmap[i]) {
continue;
} else {
const char* raw_str = reinterpret_cast<const char*>(&data[offsets[i - 1]]);
size_t str_size = offsets[i] - offsets[i - 1];
if constexpr (HashBits == 32) {
uint32_t hash_value = HashUtil::murmur_hash3_32(raw_str, str_size,
HashUtil::MURMUR3_32_SEED);
res_data[i].add(hash_value);
} else {
uint64_t hash_value = 0;
murmur_hash3_x64_64(raw_str, str_size, 0, &hash_value);
res_data[i].add(hash_value);
}
}
}
}
}
};
class FunctionBitmapCount : public IFunction {
public:
static constexpr auto name = "bitmap_count";
String get_name() const override { return name; }
static FunctionPtr create() { return std::make_shared<FunctionBitmapCount>(); }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return std::make_shared<DataTypeInt64>();
}
size_t get_number_of_arguments() const override { return 1; }
bool use_default_implementation_for_nulls() const override { return false; }
bool use_default_implementation_for_constants() const override { return true; }
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
size_t result, size_t input_rows_count) override {
auto res_data_column = ColumnInt64::create();
auto& res = res_data_column->get_data();
auto data_null_map = ColumnUInt8::create(input_rows_count, 0);
auto& null_map = data_null_map->get_data();
auto column = block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
if (auto* nullable = check_and_get_column<const ColumnNullable>(*column)) {
VectorizedUtils::update_null_map(null_map, nullable->get_null_map_data());
column = nullable->get_nested_column_ptr();
}
auto str_col = assert_cast<const ColumnBitmap*>(column.get());
const auto& col_data = str_col->get_data();
res.reserve(input_rows_count);
for (size_t i = 0; i < input_rows_count; ++i) {
if (null_map[i]) {
res.push_back(0);
continue;
}
res.push_back(col_data[i].cardinality());
}
block.replace_by_position(result, std::move(res_data_column));
return Status::OK();
}
};
struct NameBitmapNot {
static constexpr auto name = "bitmap_not";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapNot {
using ResultDataType = DataTypeBitMap;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using TData = std::vector<BitmapValue>;
static Status vector_vector(const TData& lvec, const TData& rvec, TData& res) {
size_t size = lvec.size();
for (size_t i = 0; i < size; ++i) {
res[i] = lvec[i];
res[i] -= rvec[i];
}
return Status::OK();
}
};
struct NameBitmapAndNot {
static constexpr auto name = "bitmap_and_not";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapAndNot {
using ResultDataType = DataTypeBitMap;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using TData = std::vector<BitmapValue>;
static Status vector_vector(const TData& lvec, const TData& rvec, TData& res) {
size_t size = lvec.size();
BitmapValue mid_data;
for (size_t i = 0; i < size; ++i) {
mid_data = lvec[i];
mid_data &= rvec[i];
res[i] = lvec[i];
res[i] -= mid_data;
mid_data.clear();
}
return Status::OK();
}
};
struct NameBitmapAndNotCount {
static constexpr auto name = "bitmap_and_not_count";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapAndNotCount {
using ResultDataType = DataTypeInt64;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using TData = std::vector<BitmapValue>;
using ResTData = typename ColumnVector<Int64>::Container;
static Status vector_vector(const TData& lvec, const TData& rvec, ResTData& res) {
size_t size = lvec.size();
BitmapValue mid_data;
for (size_t i = 0; i < size; ++i) {
mid_data = lvec[i];
mid_data &= rvec[i];
res[i] = lvec[i].andnot_cardinality(mid_data);
mid_data.clear();
}
return Status::OK();
}
};
struct NameBitmapContains {
static constexpr auto name = "bitmap_contains";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapContains {
using ResultDataType = DataTypeUInt8;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using LTData = std::vector<BitmapValue>;
using RTData = typename ColumnVector<T1>::Container;
using ResTData = typename ColumnVector<UInt8>::Container;
static Status vector_vector(const LTData& lvec, const RTData& rvec, ResTData& res) {
size_t size = lvec.size();
for (size_t i = 0; i < size; ++i) {
res[i] = lvec[i].contains(rvec[i]);
}
return Status::OK();
}
};
struct NameBitmapHasAny {
static constexpr auto name = "bitmap_has_any";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapHasAny {
using ResultDataType = DataTypeUInt8;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using TData = std::vector<BitmapValue>;
using ResTData = typename ColumnVector<UInt8>::Container;
static Status vector_vector(const TData& lvec, const TData& rvec, ResTData& res) {
size_t size = lvec.size();
for (size_t i = 0; i < size; ++i) {
auto bitmap = const_cast<BitmapValue&>(lvec[i]);
bitmap &= rvec[i];
res[i] = bitmap.cardinality() != 0;
}
return Status::OK();
}
};
struct NameBitmapHasAll {
static constexpr auto name = "bitmap_has_all";
};
template <typename LeftDataType, typename RightDataType>
struct BitmapHasAll {
using ResultDataType = DataTypeUInt8;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using TData = std::vector<BitmapValue>;
using ResTData = typename ColumnVector<UInt8>::Container;
static Status vector_vector(const TData& lvec, const TData& rvec, ResTData& res) {
size_t size = lvec.size();
for (size_t i = 0; i < size; ++i) {
uint64_t lhs_cardinality = lvec[i].cardinality();
auto bitmap = const_cast<BitmapValue&>(lvec[i]);
bitmap |= rvec[i];
res[i] = bitmap.cardinality() == lhs_cardinality;
}
return Status::OK();
}
};
struct NameBitmapToString {
static constexpr auto name = "bitmap_to_string";
};
struct BitmapToString {
using ReturnType = DataTypeString;
static constexpr auto TYPE_INDEX = TypeIndex::BitMap;
using Type = DataTypeBitMap::FieldType;
using ReturnColumnType = ColumnString;
using Chars = ColumnString::Chars;
using Offsets = ColumnString::Offsets;
static Status vector(const std::vector<BitmapValue>& data, Chars& chars, Offsets& offsets) {
size_t size = data.size();
offsets.resize(size);
chars.reserve(size);
for (size_t i = 0; i < size; ++i) {
StringOP::push_value_string(data[i].to_string(), i, chars, offsets);
}
return Status::OK();
}
};
struct SubBitmap {
static constexpr auto name = "sub_bitmap";
using TData1 = std::vector<BitmapValue>;
using TData2 = typename ColumnVector<Int64>::Container;
static Status vector_vector(const TData1& bitmap_data, const TData2& offset_data,
const TData2& limit_data, NullMap& null_map,
size_t input_rows_count, TData1& res) {
for (int i = 0; i < input_rows_count; ++i) {
if (null_map[i]) {
continue;
}
if (limit_data[i] <= 0) {
null_map[i] = 1;
continue;
}
if (const_cast<TData1&>(bitmap_data)[i].offset_limit(offset_data[i], limit_data[i],
&res[i]) == 0) {
null_map[i] = 1;
}
}
return Status::OK();
}
};
struct BitmapSubsetLimit {
static constexpr auto name = "bitmap_subset_limit";
using TData1 = std::vector<BitmapValue>;
using TData2 = typename ColumnVector<Int64>::Container;
static Status vector_vector(const TData1& bitmap_data, const TData2& offset_data,
const TData2& limit_data, NullMap& null_map,
size_t input_rows_count, TData1& res) {
for (int i = 0; i < input_rows_count; ++i) {
if (null_map[i]) {
continue;
}
if (offset_data[i] < 0 || limit_data[i] < 0) {
null_map[i] = 1;
continue;
}
const_cast<TData1&>(bitmap_data)[i].sub_limit(offset_data[i], limit_data[i], &res[i]);
}
return Status::OK();
}
};
struct BitmapSubsetInRange {
static constexpr auto name = "bitmap_subset_in_range";
using TData1 = std::vector<BitmapValue>;
using TData2 = typename ColumnVector<Int64>::Container;
static Status vector_vector(const TData1& bitmap_data, const TData2& range_start,
const TData2& range_end, NullMap& null_map, size_t input_rows_count,
TData1& res) {
for (int i = 0; i < input_rows_count; ++i) {
if (null_map[i]) {
continue;
}
if (range_start[i] >= range_end[i] || range_start[i] < 0 || range_end[i] < 0) {
null_map[i] = 1;
continue;
}
const_cast<TData1&>(bitmap_data)[i].sub_range(range_start[i], range_end[i], &res[i]);
}
return Status::OK();
}
};
template <typename Impl>
class FunctionBitmapSubs : public IFunction {
public:
static constexpr auto name = Impl::name;
String get_name() const override { return name; }
static FunctionPtr create() { return std::make_shared<FunctionBitmapSubs>(); }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return make_nullable(std::make_shared<DataTypeBitMap>());
}
size_t get_number_of_arguments() const override { return 3; }
bool use_default_implementation_for_nulls() const override { return false; }
bool use_default_implementation_for_constants() const override { return true; }
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
size_t result, size_t input_rows_count) override {
DCHECK_EQ(arguments.size(), 3);
auto res_null_map = ColumnUInt8::create(input_rows_count, 0);
auto res_data_column = ColumnBitmap::create(input_rows_count);
ColumnPtr argument_columns[3];
for (int i = 0; i < 3; ++i) {
argument_columns[i] =
block.get_by_position(arguments[i]).column->convert_to_full_column_if_const();
if (auto* nullable = check_and_get_column<ColumnNullable>(*argument_columns[i])) {
VectorizedUtils::update_null_map(res_null_map->get_data(),
nullable->get_null_map_data());
argument_columns[i] = nullable->get_nested_column_ptr();
}
}
auto bitmap_column = assert_cast<const ColumnBitmap*>(argument_columns[0].get());
auto offset_column = assert_cast<const ColumnVector<Int64>*>(argument_columns[1].get());
auto limit_column = assert_cast<const ColumnVector<Int64>*>(argument_columns[2].get());
Impl::vector_vector(bitmap_column->get_data(), offset_column->get_data(),
limit_column->get_data(), res_null_map->get_data(), input_rows_count,
res_data_column->get_data());
block.get_by_position(result).column =
ColumnNullable::create(std::move(res_data_column), std::move(res_null_map));
return Status::OK();
}
};
class FunctionBitmapToArray : public IFunction {
public:
static constexpr auto name = "bitmap_to_array";
String get_name() const override { return name; }
static FunctionPtr create() { return std::make_shared<FunctionBitmapToArray>(); }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
auto nested_type = make_nullable(std::make_shared<DataTypeInt64>());
return std::make_shared<DataTypeArray>(nested_type);
}
size_t get_number_of_arguments() const override { return 1; }
bool use_default_implementation_for_nulls() const override { return true; }
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
size_t result, size_t input_rows_count) override {
auto return_nested_type = make_nullable(std::make_shared<DataTypeInt64>());
auto dest_array_column_ptr = ColumnArray::create(return_nested_type->create_column(),
ColumnArray::ColumnOffsets::create());
IColumn* dest_nested_column = &dest_array_column_ptr->get_data();
ColumnNullable* dest_nested_nullable_col =
reinterpret_cast<ColumnNullable*>(dest_nested_column);
dest_nested_column = dest_nested_nullable_col->get_nested_column_ptr();
auto& dest_nested_null_map = dest_nested_nullable_col->get_null_map_column().get_data();
auto arg_col =
block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
auto bitmap_col = assert_cast<const ColumnBitmap*>(arg_col.get());
const auto& bitmap_col_data = bitmap_col->get_data();
auto& nested_column_data =
assert_cast<ColumnVector<Int64>*>(dest_nested_column)->get_data();
auto& dest_offsets = dest_array_column_ptr->get_offsets();
dest_offsets.reserve(input_rows_count);
for (int i = 0; i < input_rows_count; ++i) {
bitmap_col_data[i].to_array(nested_column_data);
dest_nested_null_map.resize_fill(nested_column_data.size(), 0);
dest_offsets.push_back(nested_column_data.size());
}
block.replace_by_position(result, std::move(dest_array_column_ptr));
return Status::OK();
}
};
using FunctionBitmapEmpty = FunctionConst<BitmapEmpty, false>;
using FunctionToBitmap = FunctionAlwaysNotNullable<ToBitmap>;
using FunctionToBitmapWithCheck = FunctionAlwaysNotNullable<ToBitmapWithCheck, true>;
using FunctionBitmapFromString = FunctionBitmapAlwaysNull<BitmapFromString>;
using FunctionBitmapFromArray = FunctionBitmapAlwaysNull<BitmapFromArray>;
using FunctionBitmapHash = FunctionAlwaysNotNullable<BitmapHash<32>>;
using FunctionBitmapHash64 = FunctionAlwaysNotNullable<BitmapHash<64>>;
using FunctionBitmapMin = FunctionBitmapSingle<FunctionBitmapMinImpl>;
using FunctionBitmapMax = FunctionBitmapSingle<FunctionBitmapMaxImpl>;
using FunctionBitmapToString = FunctionUnaryToType<BitmapToString, NameBitmapToString>;
using FunctionBitmapNot =
FunctionBinaryToType<DataTypeBitMap, DataTypeBitMap, BitmapNot, NameBitmapNot>;
using FunctionBitmapAndNot =
FunctionBinaryToType<DataTypeBitMap, DataTypeBitMap, BitmapAndNot, NameBitmapAndNot>;
using FunctionBitmapAndNotCount = FunctionBinaryToType<DataTypeBitMap, DataTypeBitMap,
BitmapAndNotCount, NameBitmapAndNotCount>;
using FunctionBitmapContains =
FunctionBinaryToType<DataTypeBitMap, DataTypeInt64, BitmapContains, NameBitmapContains>;
using FunctionBitmapHasAny =
FunctionBinaryToType<DataTypeBitMap, DataTypeBitMap, BitmapHasAny, NameBitmapHasAny>;
using FunctionBitmapHasAll =
FunctionBinaryToType<DataTypeBitMap, DataTypeBitMap, BitmapHasAll, NameBitmapHasAll>;
using FunctionSubBitmap = FunctionBitmapSubs<SubBitmap>;
using FunctionBitmapSubsetLimit = FunctionBitmapSubs<BitmapSubsetLimit>;
using FunctionBitmapSubsetInRange = FunctionBitmapSubs<BitmapSubsetInRange>;
void register_function_bitmap(SimpleFunctionFactory& factory) {
factory.register_function<FunctionBitmapEmpty>();
factory.register_function<FunctionToBitmap>();
factory.register_function<FunctionToBitmapWithCheck>();
factory.register_function<FunctionBitmapFromString>();
factory.register_function<FunctionBitmapFromArray>();
factory.register_function<FunctionBitmapHash>();
factory.register_function<FunctionBitmapHash64>();
factory.register_function<FunctionBitmapCount>();
factory.register_function<FunctionBitmapMin>();
factory.register_function<FunctionBitmapMax>();
factory.register_function<FunctionBitmapToString>();
factory.register_function<FunctionBitmapNot>();
factory.register_function<FunctionBitmapAndNot>();
factory.register_function<FunctionBitmapAndNotCount>();
factory.register_function<FunctionBitmapContains>();
factory.register_function<FunctionBitmapHasAny>();
factory.register_function<FunctionBitmapHasAll>();
factory.register_function<FunctionSubBitmap>();
factory.register_function<FunctionBitmapSubsetLimit>();
factory.register_function<FunctionBitmapSubsetInRange>();
factory.register_function<FunctionBitmapToArray>();
}
} // namespace doris::vectorized