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#include <AggregateFunctions/AggregateFunctionFactory.h>
#include <AggregateFunctions/AggregateFunctionSumMap.h>
#include <AggregateFunctions/Helpers.h>
#include <AggregateFunctions/FactoryHelpers.h>
#include <Functions/FunctionHelpers.h>
#include <IO/WriteHelpers.h>
namespace DB
{
struct Settings;
namespace ErrorCodes
{
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
}
namespace
{
auto parseArguments(const std::string & name, const DataTypes & arguments)
{
DataTypes args;
bool tuple_argument = false;
if (arguments.size() == 1)
{
// sumMap state is fully given by its result, so it can be stored in
// SimpleAggregateFunction columns. There is a caveat: it must support
// sumMap(sumMap(...)), e.g. it must be able to accept its own output as
// an input. This is why it also accepts a Tuple(keys, values) argument.
const auto * tuple_type = checkAndGetDataType<DataTypeTuple>(arguments[0].get());
if (!tuple_type)
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "When function {} gets one argument it must be a tuple", name);
const auto elems = tuple_type->getElements();
args.insert(args.end(), elems.begin(), elems.end());
tuple_argument = true;
}
else
{
args.insert(args.end(), arguments.begin(), arguments.end());
tuple_argument = false;
}
if (args.size() < 2)
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
"Aggregate function {} requires at least two arguments of Array type or one argument of tuple of two arrays", name);
const auto * array_type = checkAndGetDataType<DataTypeArray>(args[0].get());
if (!array_type)
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "First argument for function {} must be an array, not {}",
name, args[0]->getName());
DataTypePtr keys_type = array_type->getNestedType();
DataTypes values_types;
values_types.reserve(args.size() - 1);
for (size_t i = 1; i < args.size(); ++i)
{
array_type = checkAndGetDataType<DataTypeArray>(args[i].get());
if (!array_type)
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument #{} for function {} must be an array.",
i, name);
values_types.push_back(array_type->getNestedType());
}
return std::tuple<DataTypePtr, DataTypes, bool>{std::move(keys_type), std::move(values_types), tuple_argument};
}
// This function instantiates a particular overload of the sumMap family of
// functions.
// The template parameter MappedFunction<bool template_argument> is an aggregate
// function template that allows to choose the aggregate function variant that
// accepts either normal arguments or tuple argument.
template<template <bool tuple_argument> typename MappedFunction>
AggregateFunctionPtr createAggregateFunctionMap(const std::string & name, const DataTypes & arguments, const Array & params, const Settings *)
{
auto [keys_type, values_types, tuple_argument] = parseArguments(name, arguments);
AggregateFunctionPtr res;
if (tuple_argument)
{
res.reset(createWithNumericBasedType<MappedFunction<true>::template F>(*keys_type, keys_type, values_types, arguments, params));
if (!res)
res.reset(createWithDecimalType<MappedFunction<true>::template F>(*keys_type, keys_type, values_types, arguments, params));
if (!res)
res.reset(createWithStringType<MappedFunction<true>::template F>(*keys_type, keys_type, values_types, arguments, params));
}
else
{
res.reset(createWithNumericBasedType<MappedFunction<false>::template F>(*keys_type, keys_type, values_types, arguments, params));
if (!res)
res.reset(createWithDecimalType<MappedFunction<false>::template F>(*keys_type, keys_type, values_types, arguments, params));
if (!res)
res.reset(createWithStringType<MappedFunction<false>::template F>(*keys_type, keys_type, values_types, arguments, params));
}
if (!res)
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type of argument for aggregate function {}", name);
return res;
}
// This template chooses the sumMap variant with given filtering and overflow
// handling.
template <bool filtered, bool overflow>
struct SumMapVariants
{
// SumMapVariants chooses the `overflow` and `filtered` parameters of the
// aggregate functions. The `tuple_argument` and the value type `T` are left
// as free parameters.
// DispatchOnTupleArgument chooses `tuple_argument`, and the value type `T`
// is left free.
template <bool tuple_argument>
struct DispatchOnTupleArgument
{
template <typename T>
using F = std::conditional_t<filtered,
AggregateFunctionSumMapFiltered<T, overflow, tuple_argument>,
AggregateFunctionSumMap<T, overflow, tuple_argument>>;
};
};
// This template gives an aggregate function template that is narrowed
// to accept either tuple argumen or normal arguments.
template <bool tuple_argument>
struct MinMapDispatchOnTupleArgument
{
template <typename T>
using F = AggregateFunctionMinMap<T, tuple_argument>;
};
// This template gives an aggregate function template that is narrowed
// to accept either tuple argumen or normal arguments.
template <bool tuple_argument>
struct MaxMapDispatchOnTupleArgument
{
template <typename T>
using F = AggregateFunctionMaxMap<T, tuple_argument>;
};
}
void registerAggregateFunctionSumMap(AggregateFunctionFactory & factory)
{
// these functions used to be called *Map, with now these names occupied by
// Map combinator, which redirects calls here if was called with
// array or tuple arguments.
factory.registerFunction("sumMappedArrays", createAggregateFunctionMap<
SumMapVariants<false, false>::DispatchOnTupleArgument>);
factory.registerFunction("minMappedArrays",
createAggregateFunctionMap<MinMapDispatchOnTupleArgument>);
factory.registerFunction("maxMappedArrays",
createAggregateFunctionMap<MaxMapDispatchOnTupleArgument>);
// these functions could be renamed to *MappedArrays too, but it would
// break backward compatibility
factory.registerFunction("sumMapWithOverflow", createAggregateFunctionMap<
SumMapVariants<false, true>::DispatchOnTupleArgument>);
factory.registerFunction("sumMapFiltered", createAggregateFunctionMap<
SumMapVariants<true, false>::DispatchOnTupleArgument>);
factory.registerFunction("sumMapFilteredWithOverflow",
createAggregateFunctionMap<
SumMapVariants<true, true>::DispatchOnTupleArgument>);
}
}
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