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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/Functions/IFunction.h
// and modified by Doris
#pragma once
#include <fmt/format.h>
#include <glog/logging.h>
#include <cstddef>
#include <memory>
#include <string>
#include <utility>
#include "common/exception.h"
#include "common/logging.h"
#include "common/status.h"
#include "olap/rowset/segment_v2/inverted_index_iterator.h"
#include "udf/udf.h"
#include "vec/core/block.h"
#include "vec/core/column_numbers.h"
#include "vec/core/column_with_type_and_name.h"
#include "vec/core/columns_with_type_and_name.h"
#include "vec/core/types.h"
#include "vec/data_types/data_type.h"
#include "vec/data_types/data_type_nullable.h"
namespace doris::vectorized {
struct FunctionAttr {
bool enable_decimal256 {false};
};
#define RETURN_REAL_TYPE_FOR_DATEV2_FUNCTION(TYPE) \
bool is_nullable = false; \
bool is_datev2 = false; \
for (auto it : arguments) { \
is_nullable = is_nullable || it.type->is_nullable(); \
is_datev2 = is_datev2 || it.type->get_primitive_type() == TYPE_DATEV2 || \
it.type->get_primitive_type() == TYPE_DATETIMEV2; \
} \
return is_nullable || !is_datev2 \
? make_nullable( \
std::make_shared<typename PrimitiveTypeTraits<TYPE>::DataType>()) \
: std::make_shared<typename PrimitiveTypeTraits<TYPE>::DataType>();
#define SET_NULLMAP_IF_FALSE(EXPR) \
if (!EXPR) [[unlikely]] { \
null_map[i] = true; \
}
class Field;
class VExpr;
// Only use dispose the variadic argument
template <typename T>
auto has_variadic_argument_types(T&& arg) -> decltype(T::get_variadic_argument_types()) {};
void has_variadic_argument_types(...);
template <typename T>
concept HasGetVariadicArgumentTypesImpl = requires(T t) {
{ t.get_variadic_argument_types_impl() } -> std::same_as<DataTypes>;
};
bool have_null_column(const Block& block, const ColumnNumbers& args);
bool have_null_column(const ColumnsWithTypeAndName& args);
/// The simplest executable object.
/// Motivation:
/// * Prepare something heavy once before main execution loop instead of doing it for each block.
/// * Provide const interface for IFunctionBase (later).
class IPreparedFunction {
public:
virtual ~IPreparedFunction() = default;
/// Get the main function name.
virtual String get_name() const = 0;
virtual Status execute(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count, bool dry_run) const = 0;
};
using PreparedFunctionPtr = std::shared_ptr<IPreparedFunction>;
class PreparedFunctionImpl : public IPreparedFunction {
public:
Status execute(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count, bool dry_run = false) const final;
/** If the function have non-zero number of arguments,
* and if all arguments are constant, that we could automatically provide default implementation:
* arguments are converted to ordinary columns with single value which is not const, then function is executed as usual,
* and then the result is converted to constant column.
*/
virtual bool use_default_implementation_for_constants() const { return true; }
/** If use_default_implementation_for_nulls() is true, after execute the function,
* whether need to replace the nested data of null data to the default value.
* E.g. for binary arithmetic exprs, need return true to avoid false overflow.
*/
virtual bool need_replace_null_data_to_default() const { return false; }
protected:
virtual Status execute_impl_dry_run(FunctionContext* context, Block& block,
const ColumnNumbers& arguments, uint32_t result,
size_t input_rows_count) const {
return execute_impl(context, block, arguments, result, input_rows_count);
}
virtual Status execute_impl(FunctionContext* context, Block& block,
const ColumnNumbers& arguments, uint32_t result,
size_t input_rows_count) const = 0;
/** Default implementation in presence of Nullable arguments or NULL constants as arguments is the following:
* if some of arguments are NULL constants then return NULL constant,
* if some of arguments are Nullable, then execute function as usual for block,
* where Nullable columns are substituted with nested columns (they have arbitrary values in rows corresponding to NULL value)
* and wrap result in Nullable column where NULLs are in all rows where any of arguments are NULL.
*/
virtual bool use_default_implementation_for_nulls() const { return true; }
virtual bool skip_return_type_check() const { return false; }
/** If function arguments has single low cardinality column and all other arguments are constants, call function on nested column.
* Otherwise, convert all low cardinality columns to ordinary columns.
* Returns ColumnLowCardinality if at least one argument is ColumnLowCardinality.
*/
virtual bool use_default_implementation_for_low_cardinality_columns() const { return true; }
/** Some arguments could remain constant during this implementation.
* Every argument required const must write here and no checks elsewhere.
*/
virtual ColumnNumbers get_arguments_that_are_always_constant() const { return {}; }
private:
Status default_implementation_for_nulls(FunctionContext* context, Block& block,
const ColumnNumbers& args, uint32_t result,
size_t input_rows_count, bool dry_run,
bool* executed) const;
Status default_implementation_for_constant_arguments(FunctionContext* context, Block& block,
const ColumnNumbers& args, uint32_t result,
size_t input_rows_count, bool dry_run,
bool* executed) const;
Status execute_without_low_cardinality_columns(FunctionContext* context, Block& block,
const ColumnNumbers& arguments, uint32_t result,
size_t input_rows_count, bool dry_run) const;
Status _execute_skipped_constant_deal(FunctionContext* context, Block& block,
const ColumnNumbers& args, uint32_t result,
size_t input_rows_count, bool dry_run) const;
};
/// Function with known arguments and return type.
class IFunctionBase {
public:
virtual ~IFunctionBase() = default;
/// Get the main function name.
virtual String get_name() const = 0;
virtual const DataTypes& get_argument_types() const = 0;
virtual const DataTypePtr& get_return_type() const = 0;
/// Do preparations and return executable.
/// sample_block should contain data types of arguments and values of constants, if relevant.
virtual PreparedFunctionPtr prepare(FunctionContext* context, const Block& sample_block,
const ColumnNumbers& arguments, uint32_t result) const = 0;
/// Override this when function need to store state in the `FunctionContext`, or do some
/// preparation work according to information from `FunctionContext`.
virtual Status open(FunctionContext* context, FunctionContext::FunctionStateScope scope) {
return Status::OK();
}
/// TODO: make const
virtual Status execute(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count, bool dry_run = false) const {
return prepare(context, block, arguments, result)
->execute(context, block, arguments, result, input_rows_count, dry_run);
}
virtual Status evaluate_inverted_index(
const ColumnsWithTypeAndName& arguments,
const std::vector<vectorized::IndexFieldNameAndTypePair>& data_type_with_names,
std::vector<segment_v2::IndexIterator*> iterators, uint32_t num_rows,
segment_v2::InvertedIndexResultBitmap& bitmap_result) const {
return Status::OK();
}
/// Do cleaning work when function is finished, i.e., release state variables in the
/// `FunctionContext` which are registered in `prepare` phase.
virtual Status close(FunctionContext* context, FunctionContext::FunctionStateScope scope) {
return Status::OK();
}
virtual bool is_use_default_implementation_for_constants() const = 0;
virtual bool is_udf_function() const { return false; }
virtual bool can_push_down_to_index() const { return false; }
};
using FunctionBasePtr = std::shared_ptr<IFunctionBase>;
/// Creates IFunctionBase from argument types list.
class IFunctionBuilder {
public:
virtual ~IFunctionBuilder() = default;
/// Get the main function name.
virtual String get_name() const = 0;
/// Override and return true if function could take different number of arguments.
virtual bool is_variadic() const = 0;
/// For non-variadic functions, return number of arguments; otherwise return zero (that should be ignored).
virtual size_t get_number_of_arguments() const = 0;
/// Throw if number of arguments is incorrect. Default implementation will check only in non-variadic case.
virtual void check_number_of_arguments(size_t number_of_arguments) const = 0;
/// Check arguments and return IFunctionBase.
virtual FunctionBasePtr build(const ColumnsWithTypeAndName& arguments,
const DataTypePtr& return_type) const = 0;
/// For higher-order functions (functions, that have lambda expression as at least one argument).
/// You pass data types with empty DataTypeFunction for lambda arguments.
/// This function will replace it with DataTypeFunction containing actual types.
virtual DataTypes get_variadic_argument_types() const = 0;
/// Returns indexes of arguments, that must be ColumnConst
virtual ColumnNumbers get_arguments_that_are_always_constant() const = 0;
};
using FunctionBuilderPtr = std::shared_ptr<IFunctionBuilder>;
inline std::string get_types_string(const ColumnsWithTypeAndName& arguments) {
std::string types;
for (const auto& argument : arguments) {
if (!types.empty()) {
types += ", ";
}
types += argument.type->get_name();
}
return types;
}
/// used in function_factory. when we register a function, save a builder. to get a function, to get a builder.
/// will use DefaultFunctionBuilder as the default builder in function's registration if we didn't explicitly specify.
class FunctionBuilderImpl : public IFunctionBuilder {
public:
FunctionBasePtr build(const ColumnsWithTypeAndName& arguments,
const DataTypePtr& return_type) const final {
if (skip_return_type_check()) {
return build_impl(arguments, return_type);
}
const DataTypePtr& func_return_type = get_return_type(arguments);
if (func_return_type == nullptr) {
throw doris::Exception(
ErrorCode::INTERNAL_ERROR,
"function return type check failed, function_name={}, "
"expect_return_type={}, real_return_type is nullptr, input_arguments={}",
get_name(), return_type->get_name(), get_types_string(arguments));
}
// check return types equal.
if (!(return_type->equals(*func_return_type) ||
// For null constant argument, `get_return_type` would return
// Nullable<DataTypeNothing> when `use_default_implementation_for_nulls` is true.
(return_type->is_nullable() && func_return_type->is_nullable() &&
((DataTypeNullable*)func_return_type.get())
->get_nested_type()
->get_primitive_type() == INVALID_TYPE) ||
is_date_or_datetime_or_decimal(return_type, func_return_type) ||
is_array_nested_type_date_or_datetime_or_decimal(return_type, func_return_type))) {
LOG_WARNING(
"function return type check failed, function_name={}, "
"expect_return_type={}, real_return_type={}, input_arguments={}",
get_name(), return_type->get_name(), func_return_type->get_name(),
get_types_string(arguments));
return nullptr;
}
return build_impl(arguments, return_type);
}
bool is_variadic() const override { return false; }
// Default implementation. Will check only in non-variadic case.
void check_number_of_arguments(size_t number_of_arguments) const override;
// the return type should be same with what FE plans.
// it returns: `get_return_type_impl` if `use_default_implementation_for_nulls` = false
// `get_return_type_impl` warpped in NULL if `use_default_implementation_for_nulls` = true and input has NULL
DataTypePtr get_return_type(const ColumnsWithTypeAndName& arguments) const;
DataTypes get_variadic_argument_types() const override {
return get_variadic_argument_types_impl();
}
ColumnNumbers get_arguments_that_are_always_constant() const override { return {}; }
protected:
// Get the result type by argument type. If the function does not apply to these arguments, throw an exception.
// the get_return_type_impl and its overrides should only return the nested type if `use_default_implementation_for_nulls` is true.
// whether to wrap in nullable type will be automatically decided.
virtual DataTypePtr get_return_type_impl(const ColumnsWithTypeAndName& arguments) const {
DataTypes data_types(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
data_types[i] = arguments[i].type;
}
return get_return_type_impl(data_types);
}
virtual DataTypePtr get_return_type_impl(const DataTypes& /*arguments*/) const {
throw doris::Exception(ErrorCode::NOT_IMPLEMENTED_ERROR,
"get_return_type is not implemented for {}", get_name());
return nullptr;
}
/** If use_default_implementation_for_nulls() is true, than change arguments for get_return_type() and build_impl():
* if some of arguments are Nullable(Nothing) then don't call get_return_type(), call build_impl() with return_type = Nullable(Nothing),
* if some of arguments are Nullable, then:
* - Nullable types are substituted with nested types for get_return_type() function
* - WRAP get_return_type() RESULT IN NULLABLE type and pass to build_impl
*
* Otherwise build returns build_impl(arguments, get_return_type(arguments));
*/
virtual bool use_default_implementation_for_nulls() const { return true; }
virtual bool skip_return_type_check() const { return false; }
virtual bool need_replace_null_data_to_default() const { return false; }
/** If use_default_implementation_for_nulls() is true, than change arguments for get_return_type() and build_impl().
* If function arguments has low cardinality types, convert them to ordinary types.
* get_return_type returns ColumnLowCardinality if at least one argument type is ColumnLowCardinality.
*/
virtual bool use_default_implementation_for_low_cardinality_columns() const { return true; }
/// return a real function object to execute. called in build(...).
virtual FunctionBasePtr build_impl(const ColumnsWithTypeAndName& arguments,
const DataTypePtr& return_type) const = 0;
virtual DataTypes get_variadic_argument_types_impl() const { return {}; }
private:
DataTypePtr get_return_type_without_low_cardinality(
const ColumnsWithTypeAndName& arguments) const;
bool is_date_or_datetime_or_decimal(const DataTypePtr& return_type,
const DataTypePtr& func_return_type) const;
bool is_array_nested_type_date_or_datetime_or_decimal(
const DataTypePtr& return_type, const DataTypePtr& func_return_type) const;
};
/// Previous function interface.
class IFunction : public std::enable_shared_from_this<IFunction>,
public FunctionBuilderImpl,
public IFunctionBase,
public PreparedFunctionImpl {
public:
String get_name() const override = 0;
/// Notice: We should not change the column in the block, because the column may be shared by multiple expressions or exec nodes.
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count) const override = 0;
/// Override this functions to change default implementation behavior. See details in IMyFunction.
bool use_default_implementation_for_nulls() const override { return true; }
bool skip_return_type_check() const override { return false; }
bool need_replace_null_data_to_default() const override { return false; }
bool use_default_implementation_for_low_cardinality_columns() const override { return true; }
/// all constancy check should use this function to do automatically
ColumnNumbers get_arguments_that_are_always_constant() const override { return {}; }
bool is_use_default_implementation_for_constants() const override {
return use_default_implementation_for_constants();
}
using PreparedFunctionImpl::execute;
using PreparedFunctionImpl::execute_impl_dry_run;
using FunctionBuilderImpl::get_return_type_impl;
using FunctionBuilderImpl::get_variadic_argument_types_impl;
using FunctionBuilderImpl::get_return_type;
[[noreturn]] PreparedFunctionPtr prepare(FunctionContext* context,
const Block& /*sample_block*/,
const ColumnNumbers& /*arguments*/,
uint32_t /*result*/) const final {
throw doris::Exception(ErrorCode::NOT_IMPLEMENTED_ERROR,
"prepare is not implemented for IFunction {}", get_name());
__builtin_unreachable();
}
Status open(FunctionContext* context, FunctionContext::FunctionStateScope scope) override {
return Status::OK();
}
[[noreturn]] const DataTypes& get_argument_types() const final {
throw doris::Exception(ErrorCode::NOT_IMPLEMENTED_ERROR,
"get_argument_types is not implemented for IFunction {}",
get_name());
__builtin_unreachable();
}
[[noreturn]] const DataTypePtr& get_return_type() const final {
throw doris::Exception(ErrorCode::NOT_IMPLEMENTED_ERROR,
"get_return_type is not implemented for IFunction {}", get_name());
__builtin_unreachable();
}
protected:
FunctionBasePtr build_impl(const ColumnsWithTypeAndName& /*arguments*/,
const DataTypePtr& /*return_type*/) const final {
throw doris::Exception(ErrorCode::NOT_IMPLEMENTED_ERROR,
"build_impl is not implemented for IFunction {}", get_name());
__builtin_unreachable();
return {};
}
};
/// Wrappers over IFunction. If we (default)use DefaultFunction as wrapper, all function execution will go through this.
class DefaultExecutable final : public PreparedFunctionImpl {
public:
explicit DefaultExecutable(std::shared_ptr<IFunction> function_)
: function(std::move(function_)) {}
String get_name() const override { return function->get_name(); }
protected:
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count) const final {
return function->execute_impl(context, block, arguments, result, input_rows_count);
}
Status evaluate_inverted_index(
const ColumnsWithTypeAndName& arguments,
const std::vector<vectorized::IndexFieldNameAndTypePair>& data_type_with_names,
std::vector<segment_v2::IndexIterator*> iterators, uint32_t num_rows,
segment_v2::InvertedIndexResultBitmap& bitmap_result) const {
return function->evaluate_inverted_index(arguments, data_type_with_names, iterators,
num_rows, bitmap_result);
}
Status execute_impl_dry_run(FunctionContext* context, Block& block,
const ColumnNumbers& arguments, uint32_t result,
size_t input_rows_count) const final {
return function->execute_impl_dry_run(context, block, arguments, result, input_rows_count);
}
bool use_default_implementation_for_nulls() const final {
return function->use_default_implementation_for_nulls();
}
bool skip_return_type_check() const final { return function->skip_return_type_check(); }
bool need_replace_null_data_to_default() const final {
return function->need_replace_null_data_to_default();
}
bool use_default_implementation_for_constants() const final {
return function->use_default_implementation_for_constants();
}
bool use_default_implementation_for_low_cardinality_columns() const final {
return function->use_default_implementation_for_low_cardinality_columns();
}
ColumnNumbers get_arguments_that_are_always_constant() const final {
return function->get_arguments_that_are_always_constant();
}
private:
std::shared_ptr<IFunction> function;
};
/*
* when we register a function which didn't specify its base(i.e. inherited from IFunction), actually we use this as a wrapper.
* it saves real implementation as `function`.
*/
class DefaultFunction final : public IFunctionBase {
public:
DefaultFunction(std::shared_ptr<IFunction> function_, DataTypes arguments_,
DataTypePtr return_type_)
: function(std::move(function_)),
arguments(std::move(arguments_)),
return_type(std::move(return_type_)) {}
String get_name() const override { return function->get_name(); }
const DataTypes& get_argument_types() const override { return arguments; }
const DataTypePtr& get_return_type() const override { return return_type; }
// return a default wrapper for IFunction.
PreparedFunctionPtr prepare(FunctionContext* context, const Block& /*sample_block*/,
const ColumnNumbers& /*arguments*/,
uint32_t /*result*/) const override {
return std::make_shared<DefaultExecutable>(function);
}
Status open(FunctionContext* context, FunctionContext::FunctionStateScope scope) override {
return function->open(context, scope);
}
Status close(FunctionContext* context, FunctionContext::FunctionStateScope scope) override {
return function->close(context, scope);
}
Status evaluate_inverted_index(
const ColumnsWithTypeAndName& args,
const std::vector<vectorized::IndexFieldNameAndTypePair>& data_type_with_names,
std::vector<segment_v2::IndexIterator*> iterators, uint32_t num_rows,
segment_v2::InvertedIndexResultBitmap& bitmap_result) const override {
return function->evaluate_inverted_index(args, data_type_with_names, iterators, num_rows,
bitmap_result);
}
bool is_use_default_implementation_for_constants() const override {
return function->is_use_default_implementation_for_constants();
}
bool can_push_down_to_index() const override { return function->can_push_down_to_index(); }
private:
std::shared_ptr<IFunction> function;
DataTypes arguments;
DataTypePtr return_type;
};
class DefaultFunctionBuilder : public FunctionBuilderImpl {
public:
explicit DefaultFunctionBuilder(std::shared_ptr<IFunction> function_)
: function(std::move(function_)) {}
void check_number_of_arguments(size_t number_of_arguments) const override {
return function->check_number_of_arguments(number_of_arguments);
}
String get_name() const override { return function->get_name(); }
bool is_variadic() const override { return function->is_variadic(); }
size_t get_number_of_arguments() const override { return function->get_number_of_arguments(); }
ColumnNumbers get_arguments_that_are_always_constant() const override {
return function->get_arguments_that_are_always_constant();
}
protected:
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return function->get_return_type_impl(arguments);
}
DataTypePtr get_return_type_impl(const ColumnsWithTypeAndName& arguments) const override {
return function->get_return_type_impl(arguments);
}
bool use_default_implementation_for_nulls() const override {
return function->use_default_implementation_for_nulls();
}
bool skip_return_type_check() const override { return function->skip_return_type_check(); }
bool need_replace_null_data_to_default() const override {
return function->need_replace_null_data_to_default();
}
bool use_default_implementation_for_low_cardinality_columns() const override {
return function->use_default_implementation_for_low_cardinality_columns();
}
FunctionBasePtr build_impl(const ColumnsWithTypeAndName& arguments,
const DataTypePtr& return_type) const override {
DataTypes data_types(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
data_types[i] = arguments[i].type;
}
return std::make_shared<DefaultFunction>(function, data_types, return_type);
}
DataTypes get_variadic_argument_types_impl() const override {
return function->get_variadic_argument_types_impl();
}
private:
std::shared_ptr<IFunction> function;
};
using FunctionPtr = std::shared_ptr<IFunction>;
/** Return ColumnNullable of src, with null map as OR-ed null maps of args columns in blocks.
* Or ColumnConst(ColumnNullable) if the result is always NULL or if the result is constant and always not NULL.
*/
ColumnPtr wrap_in_nullable(const ColumnPtr& src, const Block& block, const ColumnNumbers& args,
uint32_t result, size_t input_rows_count);
} // namespace doris::vectorized