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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 <vec/columns/column_array.h>
#include <vec/columns/column_nullable.h>
#include <vec/data_types/data_type_array.h>
#include <vec/data_types/data_type_number.h>
#include <vec/functions/function.h>
#include <vec/functions/function_helpers.h>
#include <vec/functions/simple_function_factory.h>
namespace doris::vectorized {
// array_count([0, 1, 1, 1, 0, 0]) -> [3]
class FunctionArrayCount : public IFunction {
public:
static constexpr auto name = "array_count";
static FunctionPtr create() { return std::make_shared<FunctionArrayCount>(); }
String get_name() const override { return name; }
bool is_variadic() const override { return false; }
size_t get_number_of_arguments() const override { return 1; }
bool use_default_implementation_for_nulls() const override { return false; }
ColumnNumbers get_arguments_that_are_always_constant() const override { return {1}; }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return std::make_shared<DataTypeInt64>();
}
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count) const override {
const auto& [src_column, src_const] =
unpack_if_const(block.get_by_position(arguments[0]).column);
const ColumnArray* array_column = nullptr;
const UInt8* array_null_map = nullptr;
if (src_column->is_nullable()) {
auto nullable_array = assert_cast<const ColumnNullable*>(src_column.get());
array_column = assert_cast<const ColumnArray*>(&nullable_array->get_nested_column());
array_null_map = nullable_array->get_null_map_column().get_data().data();
} else {
array_column = assert_cast<const ColumnArray*>(src_column.get());
}
if (!array_column) {
return Status::RuntimeError("unsupported types for function {}({})", get_name(),
block.get_by_position(arguments[0]).type->get_name());
}
const auto& offsets = array_column->get_offsets();
ColumnPtr nested_column = nullptr;
const UInt8* nested_null_map = nullptr;
if (array_column->get_data().is_nullable()) {
const auto& nested_null_column =
assert_cast<const ColumnNullable&>(array_column->get_data());
nested_null_map = nested_null_column.get_null_map_column().get_data().data();
nested_column = nested_null_column.get_nested_column_ptr();
} else {
nested_column = array_column->get_data_ptr();
}
const auto& nested_data = assert_cast<const ColumnUInt8&>(*nested_column).get_data();
auto dst_column = ColumnInt64::create(offsets.size());
auto& dst_data = dst_column->get_data();
for (size_t row = 0; row < offsets.size(); ++row) {
Int64 res = 0;
if (array_null_map && array_null_map[row]) {
dst_data[row] = res;
continue;
}
size_t off = offsets[row - 1];
size_t len = offsets[row] - off;
for (size_t pos = 0; pos < len; ++pos) {
if (nested_null_map && nested_null_map[pos + off]) {
continue;
}
if (nested_data[pos + off] != 0) {
++res;
}
}
dst_data[row] = res;
}
block.replace_by_position(result, std::move(dst_column));
return Status::OK();
}
};
void register_function_array_count(SimpleFunctionFactory& factory) {
factory.register_function<FunctionArrayCount>();
}
} // namespace doris::vectorized