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FunctionsBitmap.h
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#pragma once
#include <AggregateFunctions/AggregateFunctionFactory.h>
#include <Columns/ColumnAggregateFunction.h>
#include <Columns/ColumnArray.h>
#include <Columns/ColumnConst.h>
#include <Columns/ColumnVector.h>
#include <Columns/ColumnsNumber.h>
#include <Interpreters/castColumn.h>
#include <DataTypes/DataTypeAggregateFunction.h>
#include <DataTypes/DataTypeArray.h>
#include <DataTypes/DataTypesNumber.h>
#include <Functions/FunctionHelpers.h>
#include <Functions/IFunction.h>
#include <Common/typeid_cast.h>
#include <Common/assert_cast.h>
// TODO include this last because of a broken roaring header. See the comment
// inside.
#include <AggregateFunctions/AggregateFunctionGroupBitmapData.h>
namespace DB
{
namespace ErrorCodes
{
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
extern const int BAD_ARGUMENTS;
}
/** Bitmap functions.
* Build a bitmap from integer array:
* bitmapBuild: integer[] -> bitmap
*
* Convert bitmap to integer array:
* bitmapToArray: bitmap -> integer[]
*
* Return the smallest value in the set:
* bitmapMin: bitmap -> integer
*
* Return the greatest value in the set:
* bitmapMax: bitmap -> integer
*
* Return subset in specified range (not include the range_end):
* bitmapSubsetInRange: bitmap,integer,integer -> bitmap
*
* Return subset of the smallest `limit` values in set which is no smaller than `range_start`.
* bitmapSubsetLimit: bitmap,integer,integer -> bitmap
*
* Transform an array of values in a bitmap to another array of values, the result is a new bitmap.
* bitmapTransform: bitmap,integer[],integer[] -> bitmap
*
* Two bitmap and calculation:
* bitmapAnd: bitmap,bitmap -> bitmap
*
* Two bitmap or calculation:
* bitmapOr: bitmap,bitmap -> bitmap
*
* Two bitmap xor calculation:
* bitmapXor: bitmap,bitmap -> bitmap
*
* Two bitmap andnot calculation:
* bitmapAndnot: bitmap,bitmap -> bitmap
*
* Return bitmap cardinality:
* bitmapCardinality: bitmap -> integer
*
* Two bitmap and calculation, return cardinality:
* bitmapAndCardinality: bitmap,bitmap -> integer
*
* Two bitmap or calculation, return cardinality:
* bitmapOrCardinality: bitmap,bitmap -> integer
*
* Two bitmap xor calculation, return cardinality:
* bitmapXorCardinality: bitmap,bitmap -> integer
*
* Two bitmap andnot calculation, return cardinality:
* bitmapAndnotCardinality: bitmap,bitmap -> integer
*
* Determine if a bitmap contains the given integer:
* bitmapContains: bitmap,integer -> bool
*
* Judge if a bitmap is superset of the another one:
* bitmapHasAll: bitmap,bitmap -> bool
*
* Judge if the intersection of two bitmap is nonempty:
* bitmapHasAny: bitmap,bitmap -> bool
*/
template <typename Name>
class FunctionBitmapBuildImpl : public IFunction
{
public:
static constexpr auto name = Name::name;
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapBuildImpl>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 1; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
if (arguments[0]->onlyNull())
return arguments[0];
const auto * array_type = typeid_cast<const DataTypeArray *>(arguments[0].get());
if (!array_type)
throw Exception(
"First argument for function " + getName() + " must be an array but it has type " + arguments[0]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
auto nested_type = array_type->getNestedType();
DataTypes argument_types = {nested_type};
Array params_row;
AggregateFunctionProperties properties;
AggregateFunctionPtr bitmap_function;
WhichDataType which(nested_type);
if (which.isUInt8())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<UInt8>::name(), argument_types, params_row, properties);
else if (which.isUInt16())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<UInt16>::name(), argument_types, params_row, properties);
else if (which.isUInt32())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<UInt32>::name(), argument_types, params_row, properties);
else if (which.isUInt64())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<UInt64>::name(), argument_types, params_row, properties);
else if (which.isInt8())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<Int8>::name(), argument_types, params_row, properties);
else if (which.isInt16())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<Int16>::name(), argument_types, params_row, properties);
else if (which.isInt32())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<Int32>::name(), argument_types, params_row, properties);
else if (which.isInt64())
bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<Int64>::name(), argument_types, params_row, properties);
else
throw Exception(
"Unexpected type " + array_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return std::make_shared<DataTypeAggregateFunction>(bitmap_function, argument_types, params_row);
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /* input_rows_count */) const override
{
const IDataType * from_type = arguments[0].type.get();
const auto * array_type = typeid_cast<const DataTypeArray *>(from_type);
const auto & nested_type = array_type->getNestedType();
DataTypes argument_types = {nested_type};
WhichDataType which(nested_type);
if (which.isUInt8())
return executeBitmapData<UInt8>(argument_types, arguments);
else if (which.isUInt16())
return executeBitmapData<UInt16>(argument_types, arguments);
else if (which.isUInt32())
return executeBitmapData<UInt32>(argument_types, arguments);
else if (which.isUInt64())
return executeBitmapData<UInt64>(argument_types, arguments);
else if (which.isInt8())
return executeBitmapData<Int8>(argument_types, arguments);
else if (which.isInt16())
return executeBitmapData<Int16>(argument_types, arguments);
else if (which.isInt32())
return executeBitmapData<Int32>(argument_types, arguments);
else if (which.isInt64())
return executeBitmapData<Int64>(argument_types, arguments);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
private:
template <typename T>
ColumnPtr executeBitmapData(DataTypes & argument_types, const ColumnsWithTypeAndName & arguments) const
{
// input data
const ColumnArray * array = typeid_cast<const ColumnArray *>(arguments[0].column.get());
const ColumnPtr & mapped = array->getDataPtr();
const ColumnArray::Offsets & offsets = array->getOffsets();
const ColumnVector<T> * column = checkAndGetColumn<ColumnVector<T>>(&*mapped);
const typename ColumnVector<T>::Container & input_data = column->getData();
// output data
Array params_row;
AggregateFunctionProperties properties;
AggregateFunctionPtr bitmap_function = AggregateFunctionFactory::instance().get(
AggregateFunctionGroupBitmapData<T>::name(), argument_types, params_row, properties);
auto col_to = ColumnAggregateFunction::create(bitmap_function);
col_to->reserve(offsets.size());
size_t pos = 0;
for (size_t i = 0; i < offsets.size(); ++i)
{
col_to->insertDefault();
AggregateFunctionGroupBitmapData<T> & bitmap_data
= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
for (; pos < offsets[i]; ++pos)
{
bitmap_data.rbs.add(input_data[pos]);
}
}
return col_to;
}
};
template <typename Name>
class FunctionBitmapToArrayImpl : public IFunction
{
public:
static constexpr auto name = Name::name;
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapToArrayImpl>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 1; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type && bitmap_type->getFunctionName() =="groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
const DataTypePtr data_type = bitmap_type->getArgumentsDataTypes()[0];
return std::make_shared<DataTypeArray>(data_type);
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
{
// input data
const auto & return_type = result_type;
auto res_ptr = return_type->createColumn();
ColumnArray & res = assert_cast<ColumnArray &>(*res_ptr);
IColumn & res_data = res.getData();
ColumnArray::Offsets & res_offsets = res.getOffsets();
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
executeIntType<UInt8>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isUInt16())
executeIntType<UInt16>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isUInt32())
executeIntType<UInt32>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isUInt64())
executeIntType<UInt64>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isInt8())
executeIntType<Int8>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isInt16())
executeIntType<Int16>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isInt32())
executeIntType<Int32>(arguments, input_rows_count, res_data, res_offsets);
else if (which.isInt64())
executeIntType<Int64>(arguments, input_rows_count, res_data, res_offsets);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return res_ptr;
}
private:
using ToType = UInt64;
template <typename T>
void executeIntType(
const ColumnsWithTypeAndName & arguments, size_t input_rows_count, IColumn & res_data_col, ColumnArray::Offsets & res_offsets)
const
{
const ColumnAggregateFunction * column
= typeid_cast<const ColumnAggregateFunction *>(arguments[0].column.get());
PaddedPODArray<T> & res_data = typeid_cast<ColumnVector<T> &>(res_data_col).getData();
ColumnArray::Offset res_offset = 0;
for (size_t i = 0; i < input_rows_count; ++i)
{
const AggregateFunctionGroupBitmapData<T> & bitmap_data_1
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(column->getData()[i]);
UInt64 count = bitmap_data_1.rbs.rb_to_array(res_data);
res_offset += count;
res_offsets.emplace_back(res_offset);
}
}
};
template <typename Impl>
class FunctionBitmapSubset : public IFunction
{
public:
static constexpr auto name = Impl::name;
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapSubset<Impl>>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 3; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type && bitmap_type->getFunctionName() == "groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
for (size_t i = 1; i < 3; ++i)
{
WhichDataType which(arguments[i].get());
if (!(which.isUInt8() || which.isUInt16() || which.isUInt32() || which.isUInt64()))
{
throw Exception(
"The second and third arguments for function " + getName() + " must be one of [UInt8, UInt16, UInt32, UInt64] but one of them has type " + arguments[1]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
}
return arguments[0];
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
{
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
return executeIntType<UInt8>(arguments, input_rows_count);
else if (which.isUInt16())
return executeIntType<UInt16>(arguments, input_rows_count);
else if (which.isUInt32())
return executeIntType<UInt32>(arguments, input_rows_count);
else if (which.isUInt64())
return executeIntType<UInt64>(arguments, input_rows_count);
else if (which.isInt8())
return executeIntType<Int8>(arguments, input_rows_count);
else if (which.isInt16())
return executeIntType<Int16>(arguments, input_rows_count);
else if (which.isInt32())
return executeIntType<Int32>(arguments, input_rows_count);
else if (which.isInt64())
return executeIntType<Int64>(arguments, input_rows_count);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
private:
using ToType = UInt64;
template <typename T>
ColumnPtr executeIntType(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const
{
const IColumn * column_ptrs[3];
bool is_column_const[3];
const ColumnAggregateFunction * col_agg_func;
const PaddedPODArray<AggregateDataPtr> * container0;
const PaddedPODArray<UInt64> * container1, * container2;
ColumnPtr column_holder[2];
for (size_t i = 0; i < 3; ++i)
{
if (i > 0)
{
column_holder[i - 1] = castColumn(arguments[i], std::make_shared<DataTypeUInt64>());
column_ptrs[i] = column_holder[i-1].get();
}
else
{
column_ptrs[i] = arguments[i].column.get();
}
is_column_const[i] = isColumnConst(*column_ptrs[i]);
}
if (is_column_const[0])
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(column_ptrs[0])->getDataColumnPtr().get());
else
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(column_ptrs[0]);
container0 = &col_agg_func->getData();
if (is_column_const[1])
container1 = &typeid_cast<const ColumnUInt64*>(typeid_cast<const ColumnConst*>(column_ptrs[1])->getDataColumnPtr().get())->getData();
else
container1 = &typeid_cast<const ColumnUInt64*>(column_ptrs[1])->getData();
if (is_column_const[2])
container2 = &typeid_cast<const ColumnUInt64*>(typeid_cast<const ColumnConst*>(column_ptrs[2])->getDataColumnPtr().get())->getData();
else
container2 = &typeid_cast<const ColumnUInt64*>(column_ptrs[2])->getData();
auto col_to = ColumnAggregateFunction::create(col_agg_func->getAggregateFunction());
col_to->reserve(input_rows_count);
for (size_t i = 0; i < input_rows_count; ++i)
{
AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T>*>(data_ptr_0);
const UInt64 range_start = is_column_const[1] ? (*container1)[0] : (*container1)[i];
const UInt64 range_end = is_column_const[2] ? (*container2)[0] : (*container2)[i];
col_to->insertDefault();
AggregateFunctionGroupBitmapData<T> & bitmap_data_2
= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
Impl::apply(bitmap_data_0, range_start, range_end, bitmap_data_2);
}
return col_to;
}
};
struct BitmapSubsetInRangeImpl
{
public:
static constexpr auto name = "bitmapSubsetInRange";
template <typename T>
static void apply(
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0,
UInt64 range_start,
UInt64 range_end,
AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
bitmap_data_0.rbs.rb_range(range_start, range_end, bitmap_data_2.rbs);
}
};
struct BitmapSubsetLimitImpl
{
public:
static constexpr auto name = "bitmapSubsetLimit";
template <typename T>
static void apply(
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0,
UInt64 range_start,
UInt64 range_end,
AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
bitmap_data_0.rbs.rb_limit(range_start, range_end, bitmap_data_2.rbs);
}
};
struct BitmapSubsetOffsetLimitImpl
{
public:
static constexpr auto name = "subBitmap";
template <typename T>
static void apply(
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0,
UInt64 range_start,
UInt64 range_end,
AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
bitmap_data_0.rbs.rb_offset_limit(range_start, range_end, bitmap_data_2.rbs);
}
};
using FunctionBitmapSubsetInRange = FunctionBitmapSubset<BitmapSubsetInRangeImpl>;
using FunctionBitmapSubsetLimit = FunctionBitmapSubset<BitmapSubsetLimitImpl>;
using FunctionBitmapSubsetOffsetLimit = FunctionBitmapSubset<BitmapSubsetOffsetLimitImpl>;
class FunctionBitmapTransform : public IFunction
{
public:
static constexpr auto name = "bitmapTransform";
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapTransform>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 3; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type && bitmap_type->getFunctionName() == "groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
for (size_t i = 0; i < 2; ++i)
{
const auto * array_type = typeid_cast<const DataTypeArray *>(arguments[i + 1].get());
String msg = "The second and third arguments for function " + getName() + " must be an one of [Array(UInt8), Array(UInt16), Array(UInt32), Array(UInt64)] but one of them has type " + arguments[i + 1]->getName() + ".";
if (!array_type)
throw Exception(msg, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
auto nested_type = array_type->getNestedType();
WhichDataType which(nested_type);
if (!(which.isUInt8() || which.isUInt16() || which.isUInt32() || which.isUInt64()))
throw Exception(msg, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
return arguments[0];
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
{
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
return executeIntType<UInt8>(arguments, input_rows_count);
else if (which.isUInt16())
return executeIntType<UInt16>(arguments, input_rows_count);
else if (which.isUInt32())
return executeIntType<UInt32>(arguments, input_rows_count);
else if (which.isUInt64())
return executeIntType<UInt64>(arguments, input_rows_count);
else if (which.isInt8())
return executeIntType<Int8>(arguments, input_rows_count);
else if (which.isInt16())
return executeIntType<Int16>(arguments, input_rows_count);
else if (which.isInt32())
return executeIntType<Int32>(arguments, input_rows_count);
else if (which.isInt64())
return executeIntType<Int64>(arguments, input_rows_count);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
private:
using ToType = UInt64;
template <typename T>
ColumnPtr executeIntType(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const
{
const IColumn * column_ptrs[3];
bool is_column_const[3];
const ColumnAggregateFunction * col_agg_func;
const PaddedPODArray<AggregateDataPtr> * container0;
const ColumnArray * array1;
const ColumnArray * array2;
ColumnPtr column_holder[2];
for (size_t i = 0; i < 3; ++i)
{
if (i > 0)
{
auto array_type = std::make_shared<DataTypeArray>(std::make_shared<DataTypeUInt64>());
column_holder[i - 1] = castColumn(arguments[i], array_type);
column_ptrs[i] = column_holder[i-1].get();
}
else
{
column_ptrs[i] = arguments[i].column.get();
}
is_column_const[i] = isColumnConst(*column_ptrs[i]);
}
if (is_column_const[0])
{
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(column_ptrs[0])->getDataColumnPtr().get());
}
else
{
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(column_ptrs[0]);
}
container0 = &col_agg_func->getData();
if (is_column_const[1])
array1 = typeid_cast<const ColumnArray*>(typeid_cast<const ColumnConst*>(column_ptrs[1])->getDataColumnPtr().get());
else
array1 = typeid_cast<const ColumnArray *>(column_ptrs[1]);
const ColumnArray::Offsets & from_offsets = array1->getOffsets();
const ColumnVector<UInt64>::Container & from_container = typeid_cast<const ColumnVector<UInt64> *>(&array1->getData())->getData();
if (is_column_const[2])
array2 = typeid_cast<const ColumnArray*>(typeid_cast<const ColumnConst*>(column_ptrs[2])->getDataColumnPtr().get());
else
array2 = typeid_cast<const ColumnArray *>(column_ptrs[2]);
const ColumnArray::Offsets & to_offsets = array2->getOffsets();
const ColumnVector<UInt64>::Container & to_container = typeid_cast<const ColumnVector<UInt64> *>(&array2->getData())->getData();
auto col_to = ColumnAggregateFunction::create(col_agg_func->getAggregateFunction());
col_to->reserve(input_rows_count);
size_t from_start;
size_t from_end;
size_t to_start;
size_t to_end;
for (size_t i = 0; i < input_rows_count; ++i)
{
AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_0);
if (is_column_const[1])
{
from_start = 0;
from_end = from_container.size();
}
else
{
from_start = i == 0 ? 0 : from_offsets[i - 1];
from_end = from_offsets[i];
}
if (is_column_const[2])
{
to_start = 0;
to_end = to_container.size();
}
else
{
to_start = i == 0 ? 0 : to_offsets[i - 1];
to_end = to_offsets[i];
}
if (from_end - from_start != to_end - to_start)
throw Exception("From array size and to array size mismatch", ErrorCodes::BAD_ARGUMENTS);
col_to->insertDefault();
AggregateFunctionGroupBitmapData<T> & bitmap_data_2
= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
bitmap_data_2.rbs.merge(bitmap_data_0.rbs);
bitmap_data_2.rbs.rb_replace(&from_container[from_start], &to_container[to_start], from_end - from_start);
}
return col_to;
}
};
template <typename Impl>
class FunctionBitmapSelfCardinalityImpl : public IFunction
{
public:
static constexpr auto name = Impl::name;
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapSelfCardinalityImpl<Impl>>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 1; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const auto * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type && bitmap_type->getFunctionName() == "groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return std::make_shared<DataTypeNumber<ToType>>();
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
{
auto col_to = ColumnVector<ToType>::create(input_rows_count);
typename ColumnVector<ToType>::Container & vec_to = col_to->getData();
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
executeIntType<UInt8>(arguments, input_rows_count, vec_to);
else if (which.isUInt16())
executeIntType<UInt16>(arguments, input_rows_count, vec_to);
else if (which.isUInt32())
executeIntType<UInt32>(arguments, input_rows_count, vec_to);
else if (which.isUInt64())
executeIntType<UInt64>(arguments, input_rows_count, vec_to);
else if (which.isInt8())
executeIntType<Int8>(arguments, input_rows_count, vec_to);
else if (which.isInt16())
executeIntType<Int16>(arguments, input_rows_count, vec_to);
else if (which.isInt32())
executeIntType<Int32>(arguments, input_rows_count, vec_to);
else if (which.isInt64())
executeIntType<Int64>(arguments, input_rows_count, vec_to);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return col_to;
}
private:
using ToType = UInt64;
template <typename T>
void executeIntType(
const ColumnsWithTypeAndName & arguments, size_t input_rows_count, typename ColumnVector<ToType>::Container & vec_to) const
{
const ColumnAggregateFunction * column
= typeid_cast<const ColumnAggregateFunction *>(arguments[0].column.get());
for (size_t i = 0; i < input_rows_count; ++i)
{
const AggregateFunctionGroupBitmapData<T> & bitmap_data
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(column->getData()[i]);
vec_to[i] = Impl::apply(bitmap_data);
}
}
};
struct BitmapCardinalityImpl
{
public:
static constexpr auto name = "bitmapCardinality";
template <typename T>
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
{
return bitmap_data.rbs.size();
}
};
struct BitmapMinImpl
{
public:
static constexpr auto name = "bitmapMin";
template <typename T>
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
{
return bitmap_data.rbs.rb_min();
}
};
struct BitmapMaxImpl
{
public:
static constexpr auto name = "bitmapMax";
template <typename T>
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
{
return bitmap_data.rbs.rb_max();
}
};
template <typename T>
struct BitmapAndCardinalityImpl
{
using ReturnType = UInt64;
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
// roaring_bitmap_and_cardinality( rb1, rb2 );
return bitmap_data_1.rbs.rb_and_cardinality(bitmap_data_2.rbs);
}
};
template <typename T>
struct BitmapOrCardinalityImpl
{
using ReturnType = UInt64;
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
// return roaring_bitmap_or_cardinality( rb1, rb2 );
return bitmap_data_1.rbs.rb_or_cardinality(bitmap_data_2.rbs);
}
};
template <typename T>
struct BitmapXorCardinalityImpl
{
using ReturnType = UInt64;
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
// return roaring_bitmap_xor_cardinality( rb1, rb2 );
return bitmap_data_1.rbs.rb_xor_cardinality(bitmap_data_2.rbs);
}
};
template <typename T>
struct BitmapAndnotCardinalityImpl
{
using ReturnType = UInt64;
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
// roaring_bitmap_andnot_cardinality( rb1, rb2 );
return bitmap_data_1.rbs.rb_andnot_cardinality(bitmap_data_2.rbs);
}
};
template <typename T>
struct BitmapHasAllImpl
{
using ReturnType = UInt8;
static UInt8 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
return bitmap_data_1.rbs.rb_is_subset(bitmap_data_2.rbs);
}
};
template <typename T>
struct BitmapHasAnyImpl
{
using ReturnType = UInt8;
static UInt8 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
{
return bitmap_data_1.rbs.rb_intersect(bitmap_data_2.rbs);
}
};
class FunctionBitmapContains : public IFunction
{
public:
static constexpr auto name = "bitmapContains";
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapContains>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 2; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const auto * bitmap_type0 = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type0 && bitmap_type0->getFunctionName() == "groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
WhichDataType which(arguments[1].get());
if (!which.isNativeInt() && !which.isNativeUInt())
throw Exception(
"Second argument for function " + getName() + " must be an native integer type but it has type " + arguments[1]->getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return std::make_shared<DataTypeNumber<UInt8>>();
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
{
auto col_to = ColumnVector<UInt8>::create(input_rows_count);
typename ColumnVector<UInt8>::Container & vec_to = col_to->getData();
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
executeIntType<UInt8>(arguments, input_rows_count, vec_to);
else if (which.isUInt16())
executeIntType<UInt16>(arguments, input_rows_count, vec_to);
else if (which.isUInt32())
executeIntType<UInt32>(arguments, input_rows_count, vec_to);
else if (which.isUInt64())
executeIntType<UInt64>(arguments, input_rows_count, vec_to);
else if (which.isInt8())
executeIntType<Int8>(arguments, input_rows_count, vec_to);
else if (which.isInt16())
executeIntType<Int16>(arguments, input_rows_count, vec_to);
else if (which.isInt32())
executeIntType<Int32>(arguments, input_rows_count, vec_to);
else if (which.isInt64())
executeIntType<Int64>(arguments, input_rows_count, vec_to);
else
throw Exception(
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return col_to;
}
private:
template <typename T>
void executeIntType(
const ColumnsWithTypeAndName & arguments, size_t input_rows_count, typename ColumnVector<UInt8>::Container & vec_to) const
{
const IColumn * column_ptrs[2];
bool is_column_const[2];
const PaddedPODArray<AggregateDataPtr> * container0;
const PaddedPODArray<UInt64> * container1;
column_ptrs[0] = arguments[0].column.get();
is_column_const[0] = isColumnConst(*column_ptrs[0]);
if (is_column_const[0])
container0 = &typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(column_ptrs[0])->getDataColumnPtr().get())->getData();
else
container0 = &typeid_cast<const ColumnAggregateFunction*>(column_ptrs[0])->getData();
// we can always cast the second column to ColumnUInt64
auto uint64_column = castColumn(arguments[1], std::make_shared<DataTypeUInt64>());
column_ptrs[1] = uint64_column.get();
is_column_const[1] = isColumnConst(*column_ptrs[1]);
if (is_column_const[1])
container1 = &typeid_cast<const ColumnUInt64*>(typeid_cast<const ColumnConst*>(column_ptrs[1])->getDataColumnPtr().get())->getData();
else
container1 = &typeid_cast<const ColumnUInt64*>(column_ptrs[1])->getData();
for (size_t i = 0; i < input_rows_count; ++i)
{
AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
const UInt64 data1 = is_column_const[1] ? (*container1)[0] : (*container1)[i];
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_0);
vec_to[i] = bitmap_data_0.rbs.rb_contains(data1);
}
}
};
template <template <typename> class Impl, typename Name, typename ToType>
class FunctionBitmapCardinality : public IFunction
{
public:
static constexpr auto name = Name::name;
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionBitmapCardinality>(); }
String getName() const override { return name; }
bool isVariadic() const override { return false; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 2; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const auto * bitmap_type0 = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
if (!(bitmap_type0 && bitmap_type0->getFunctionName() == "groupBitmap"))
throw Exception(
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
const auto * bitmap_type1 = typeid_cast<const DataTypeAggregateFunction *>(arguments[1].get());
if (!(bitmap_type1 && bitmap_type1->getFunctionName() == "groupBitmap"))
throw Exception(
"Second argument for function " + getName() + " must be a bitmap but it has type " + arguments[1]->getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
if (bitmap_type0->getArgumentsDataTypes()[0]->getTypeId() != bitmap_type1->getArgumentsDataTypes()[0]->getTypeId())
throw Exception(
"The nested type in bitmaps must be the same, but one is " + bitmap_type0->getArgumentsDataTypes()[0]->getName()
+ ", and the other is " + bitmap_type1->getArgumentsDataTypes()[0]->getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return std::make_shared<DataTypeNumber<ToType>>();
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
{
auto col_to = ColumnVector<ToType>::create(input_rows_count);
typename ColumnVector<ToType>::Container & vec_to = col_to->getData();
const IDataType * from_type = arguments[0].type.get();
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
if (which.isUInt8())
executeIntType<UInt8>(arguments, input_rows_count, vec_to);
else if (which.isUInt16())
executeIntType<UInt16>(arguments, input_rows_count, vec_to);
else if (which.isUInt32())
executeIntType<UInt32>(arguments, input_rows_count, vec_to);
else if (which.isUInt64())
executeIntType<UInt64>(arguments, input_rows_count, vec_to);
else if (which.isInt8())
executeIntType<Int8>(arguments, input_rows_count, vec_to);
else if (which.isInt16())
executeIntType<Int16>(arguments, input_rows_count, vec_to);
else if (which.isInt32())
executeIntType<Int32>(arguments, input_rows_count, vec_to);
else if (which.isInt64())
executeIntType<Int64>(arguments, input_rows_count, vec_to);