Merge branch 'patch-6' of https://github.com/hczhcz/ClickHouse into hczhcz-patch-6

This commit is contained in:
alesapin 2019-06-24 14:29:35 +03:00
commit 88b9bc6254
7 changed files with 368 additions and 3 deletions

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@ -77,6 +77,7 @@ AggregateFunctionPtr AggregateFunctionFactory::get(
throw Exception("Logical error: cannot find aggregate function combinator to apply a function to Nullable arguments.", ErrorCodes::LOGICAL_ERROR); throw Exception("Logical error: cannot find aggregate function combinator to apply a function to Nullable arguments.", ErrorCodes::LOGICAL_ERROR);
DataTypes nested_types = combinator->transformArguments(type_without_low_cardinality); DataTypes nested_types = combinator->transformArguments(type_without_low_cardinality);
Array nested_parameters = combinator->transformParameters(parameters);
AggregateFunctionPtr nested_function; AggregateFunctionPtr nested_function;
@ -84,7 +85,7 @@ AggregateFunctionPtr AggregateFunctionFactory::get(
/// Combinator will check if nested_function was created. /// Combinator will check if nested_function was created.
if (name == "count" || std::none_of(argument_types.begin(), argument_types.end(), if (name == "count" || std::none_of(argument_types.begin(), argument_types.end(),
[](const auto & type) { return type->onlyNull(); })) [](const auto & type) { return type->onlyNull(); }))
nested_function = getImpl(name, nested_types, parameters, recursion_level); nested_function = getImpl(name, nested_types, nested_parameters, recursion_level);
return combinator->transformAggregateFunction(nested_function, argument_types, parameters); return combinator->transformAggregateFunction(nested_function, argument_types, parameters);
} }
@ -126,7 +127,10 @@ AggregateFunctionPtr AggregateFunctionFactory::getImpl(
String nested_name = name.substr(0, name.size() - combinator->getName().size()); String nested_name = name.substr(0, name.size() - combinator->getName().size());
DataTypes nested_types = combinator->transformArguments(argument_types); DataTypes nested_types = combinator->transformArguments(argument_types);
AggregateFunctionPtr nested_function = get(nested_name, nested_types, parameters, recursion_level + 1); Array nested_parameters = combinator->transformParameters(parameters);
AggregateFunctionPtr nested_function = get(nested_name, nested_types, nested_parameters, recursion_level + 1);
return combinator->transformAggregateFunction(nested_function, argument_types, parameters); return combinator->transformAggregateFunction(nested_function, argument_types, parameters);
} }

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@ -0,0 +1,107 @@
#include <AggregateFunctions/AggregateFunctionResample.h>
#include <AggregateFunctions/AggregateFunctionCombinatorFactory.h>
namespace DB
{
namespace ErrorCodes
{
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
}
class AggregateFunctionCombinatorResample final : public
IAggregateFunctionCombinator
{
public:
String getName() const override
{
return "Resample";
}
DataTypes transformArguments(const DataTypes & arguments) const override
{
if (arguments.empty())
throw Exception(
"Incorrect number of arguments for aggregate function with "
+ getName() + " suffix",
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH
);
return DataTypes(arguments.begin(), arguments.end() - 1);
}
Array transformParameters(const Array & params) const override
{
if (params.size() < 3)
throw Exception(
"Incorrect number of parameters for aggregate function with "
+ getName() + " suffix",
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH
);
return Array(params.begin(), params.end() - 3);
}
AggregateFunctionPtr transformAggregateFunction(
const AggregateFunctionPtr & nested_function,
const DataTypes & arguments,
const Array & params
) const override
{
for (const Field & param : params)
{
if (
param.getType() != Field::Types::UInt64
&& param.getType() != Field::Types::Int64
)
return nullptr;
}
WhichDataType which {
arguments.back()
};
if (
which.isNativeUInt()
|| which.isDateOrDateTime()
)
return std::make_shared<AggregateFunctionResample<UInt64>>(
nested_function,
params.front().get<UInt64>(),
params[1].get<UInt64>(),
params.back().get<UInt64>(),
arguments,
params
);
if (
which.isNativeInt()
|| which.isEnum()
|| which.isInterval()
)
return std::make_shared<AggregateFunctionResample<Int64>>(
nested_function,
params.front().get<Int64>(),
params[1].get<Int64>(),
params.back().get<Int64>(),
arguments,
params
);
// TODO
return nullptr;
}
};
void registerAggregateFunctionCombinatorResample(
AggregateFunctionCombinatorFactory & factory
)
{
factory.registerCombinator(
std::make_shared<AggregateFunctionCombinatorResample>()
);
}
}

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@ -0,0 +1,208 @@
#pragma once
#include <AggregateFunctions/IAggregateFunction.h>
#include <Columns/ColumnArray.h>
#include <DataTypes/DataTypeArray.h>
namespace DB
{
namespace ErrorCodes
{
extern const int BAD_ARGUMENTS;
}
template <typename Key>
class AggregateFunctionResample final : public IAggregateFunctionHelper<
AggregateFunctionResample<Key>
>
{
private:
const size_t MAX_ELEMENTS = 4096;
AggregateFunctionPtr nested_function;
size_t last_col;
Key begin;
Key end;
Key step;
size_t total;
size_t aod;
size_t sod;
public:
AggregateFunctionResample(
AggregateFunctionPtr nested_function,
Key begin,
Key end,
Key step,
const DataTypes & arguments,
const Array & params
) :
IAggregateFunctionHelper<
AggregateFunctionResample<Key>
> {arguments, params},
nested_function {nested_function},
last_col {arguments.size() - 1},
begin {begin},
end {end},
step {step},
total {
static_cast<size_t>(
(end - begin + step - (step >= 0 ? 1 : -1)) / step
)
},
aod {nested_function->alignOfData()},
sod {(nested_function->sizeOfData() + aod - 1) / aod * aod}
{
// notice: argument types has been checked before
if (step == 0)
throw Exception(
"The step given in function "
+ getName() + " should not be zero",
ErrorCodes::BAD_ARGUMENTS
);
if (total > MAX_ELEMENTS)
throw Exception(
"The range given in function "
+ getName() + " contains too many elements",
ErrorCodes::BAD_ARGUMENTS
);
if ((step > 0 && end < begin) || (step < 0 && end > begin))
{
end = begin;
total = 0;
}
}
String getName() const override
{
return nested_function->getName() + "Resample";
}
const char * getHeaderFilePath() const override
{
return __FILE__;
}
bool isState() const override
{
return nested_function->isState();
}
bool allocatesMemoryInArena() const override
{
return nested_function->allocatesMemoryInArena();
}
bool hasTrivialDestructor() const override
{
return nested_function->hasTrivialDestructor();
}
size_t sizeOfData() const override
{
return total * sod;
}
size_t alignOfData() const override
{
return aod;
}
void create(AggregateDataPtr place) const override
{
for (size_t i = 0; i < total; ++i)
nested_function->create(place + i * sod);
}
void destroy(AggregateDataPtr place) const noexcept override
{
for (size_t i = 0; i < total; ++i)
nested_function->destroy(place + i * sod);
}
void add(
AggregateDataPtr place,
const IColumn ** columns,
size_t row_num,
Arena * arena
) const override
{
Key key;
if constexpr (static_cast<Key>(-1) < 0)
key = columns[last_col]->getInt(row_num);
else
key = columns[last_col]->getUInt(row_num);
if (step > 0 && (key < begin || key >= end))
return;
if (step < 0 && (key > begin || key <= end))
return;
size_t pos = (key - begin) / step;
nested_function->add(place + pos * sod, columns, row_num, arena);
}
void merge(
AggregateDataPtr place,
ConstAggregateDataPtr rhs,
Arena * arena
) const override
{
for (size_t i = 0; i < total; ++i)
nested_function->merge(place + i * sod, rhs + i * sod, arena);
}
void serialize(
ConstAggregateDataPtr place,
WriteBuffer & buf
) const override
{
for (size_t i = 0; i < total; ++i)
nested_function->serialize(place + i * sod, buf);
}
void deserialize(
AggregateDataPtr place,
ReadBuffer & buf,
Arena * arena
) const override
{
for (size_t i = 0; i < total; ++i)
nested_function->deserialize(place + i * sod, buf, arena);
}
DataTypePtr getReturnType() const override
{
return std::make_shared<DataTypeArray>(
nested_function->getReturnType()
);
}
void insertResultInto(
ConstAggregateDataPtr place,
IColumn & to
) const override
{
auto & col = static_cast<ColumnArray &>(to);
auto & col_offsets = static_cast<ColumnArray::ColumnOffsets &>(
col.getOffsetsColumn()
);
for (size_t i = 0; i < total; ++i)
nested_function->insertResultInto(place + i * sod, col.getData());
col_offsets.getData().push_back(col.getData().size());
}
};
}

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@ -38,7 +38,19 @@ public:
* get the arguments for nested function (ex: UInt64 for sum). * get the arguments for nested function (ex: UInt64 for sum).
* If arguments are not suitable for combined function, throw an exception. * If arguments are not suitable for combined function, throw an exception.
*/ */
virtual DataTypes transformArguments(const DataTypes & arguments) const = 0; virtual DataTypes transformArguments(const DataTypes & arguments) const
{
return arguments;
}
/** From the parameters for combined function,
* get the parameters for nested function.
* If arguments are not suitable for combined function, throw an exception.
*/
virtual Array transformParameters(const Array & parameters) const
{
return parameters;
}
/** Create combined aggregate function (ex: sumIf) /** Create combined aggregate function (ex: sumIf)
* from nested function (ex: sum) * from nested function (ex: sum)

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@ -38,6 +38,7 @@ void registerAggregateFunctionCombinatorForEach(AggregateFunctionCombinatorFacto
void registerAggregateFunctionCombinatorState(AggregateFunctionCombinatorFactory &); void registerAggregateFunctionCombinatorState(AggregateFunctionCombinatorFactory &);
void registerAggregateFunctionCombinatorMerge(AggregateFunctionCombinatorFactory &); void registerAggregateFunctionCombinatorMerge(AggregateFunctionCombinatorFactory &);
void registerAggregateFunctionCombinatorNull(AggregateFunctionCombinatorFactory &); void registerAggregateFunctionCombinatorNull(AggregateFunctionCombinatorFactory &);
void registerAggregateFunctionCombinatorResample(AggregateFunctionCombinatorFactory &);
void registerAggregateFunctionHistogram(AggregateFunctionFactory & factory); void registerAggregateFunctionHistogram(AggregateFunctionFactory & factory);
void registerAggregateFunctionRetention(AggregateFunctionFactory & factory); void registerAggregateFunctionRetention(AggregateFunctionFactory & factory);
@ -85,6 +86,7 @@ void registerAggregateFunctions()
registerAggregateFunctionCombinatorState(factory); registerAggregateFunctionCombinatorState(factory);
registerAggregateFunctionCombinatorMerge(factory); registerAggregateFunctionCombinatorMerge(factory);
registerAggregateFunctionCombinatorNull(factory); registerAggregateFunctionCombinatorNull(factory);
registerAggregateFunctionCombinatorResample(factory);
} }
} }

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@ -0,0 +1,16 @@
[11,12,13,14,15,16]
[27,31,17]
[39,48,18]
[19,35,31,27,23,10]
[0,0,0,0,0,0]
[0.5,0.5,0]
[0.816496580927726,0.816496580927726,0]
[0,0.5,0.5,0.5,0.5,0]
[[11],[12],[13],[14],[15],[16]]
[[13,14],[15,16],[17]]
[[12,13,14],[15,16,17],[18]]
[[19],[17,18],[15,16],[13,14],[11,12],[10]]
[1,1,1,1,1,1]
[2,2,1]
[3,3,1]
[1,2,2,2,2,1]

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@ -0,0 +1,16 @@
select arrayReduce('sumResample(1, 7, 1)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('sumResample(3, 8, 2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('sumResample(2, 9, 3)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('sumResample(10, -1, -2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [-0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('stddevPopResample(1, 7, 1)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('stddevPopResample(3, 8, 2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('stddevPopResample(2, 9, 3)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('stddevPopResample(10, -1, -2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [-0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('groupArrayResample(1, 7, 1)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('groupArrayResample(3, 8, 2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('groupArrayResample(2, 9, 3)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('groupArrayResample(10, -1, -2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [-0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('uniqResample(1, 7, 1)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('uniqResample(3, 8, 2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('uniqResample(2, 9, 3)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
select arrayReduce('uniqResample(10, -1, -2)', [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [-0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);