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Fix clang tidy after moving implementation to cpp

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This commit is contained in:
Raúl Marín 2024-11-19 20:04:52 +01:00
parent 5286fa65c4
commit dd90fbe13b
31 changed files with 91 additions and 93 deletions
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2
src/Columns/ColumnFunction.cpp
View File

@ -347,7 +347,7 @@ ColumnWithTypeAndName ColumnFunction::reduce() const
if (is_function_compiled)
ProfileEvents::increment(ProfileEvents::CompiledFunctionExecute);
res.column = function->execute(columns, res.type, elements_size);
res.column = function->execute(columns, res.type, elements_size, /* dry_run = */ false);
if (res.column->getDataType() != res.type->getColumnType())
throw Exception(
ErrorCodes::LOGICAL_ERROR,

2
src/Dictionaries/getDictionaryConfigurationFromAST.cpp
View File

@ -493,7 +493,7 @@ void buildConfigurationFromFunctionWithKeyValueArguments(
/// We assume that function will not take arguments and will return constant value like tcpPort or hostName
/// Such functions will return column with size equal to input_rows_count.
size_t input_rows_count = 1;
auto result = function->execute({}, function->getResultType(), input_rows_count);
auto result = function->execute({}, function->getResultType(), input_rows_count, /* dry_run = */ false);
Field value;
result->get(0, value);

10
src/Functions/FunctionBinaryArithmetic.h
View File

@ -1191,7 +1191,7 @@ class FunctionBinaryArithmetic : public IFunction
new_arguments[1].type = std::make_shared<DataTypeNumber<DataTypeInterval::FieldType>>();
auto function = function_builder->build(new_arguments);
return function->execute(new_arguments, result_type, input_rows_count);
return function->execute(new_arguments, result_type, input_rows_count, /* dry_run = */ false);
}
ColumnPtr executeDateTimeTupleOfIntervalsPlusMinus(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
@ -1205,7 +1205,7 @@ class FunctionBinaryArithmetic : public IFunction
auto function = function_builder->build(new_arguments);
return function->execute(new_arguments, result_type, input_rows_count);
return function->execute(new_arguments, result_type, input_rows_count, /* dry_run = */ false);
}
ColumnPtr executeIntervalTupleOfIntervalsPlusMinus(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
@ -1213,7 +1213,7 @@ class FunctionBinaryArithmetic : public IFunction
{
auto function = function_builder->build(arguments);
return function->execute(arguments, result_type, input_rows_count);
return function->execute(arguments, result_type, input_rows_count, /* dry_run = */ false);
}
ColumnPtr executeArraysImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const
@ -1348,7 +1348,7 @@ class FunctionBinaryArithmetic : public IFunction
auto function = function_builder->build(new_arguments);
return function->execute(new_arguments, result_type, input_rows_count);
return function->execute(new_arguments, result_type, input_rows_count, /* dry_run = */ false);
}
template <typename T, typename ResultDataType>
@ -2250,7 +2250,7 @@ ColumnPtr executeStringInteger(const ColumnsWithTypeAndName & arguments, const A
/// Special case when the function is plus, minus or multiply, both arguments are tuples.
if (auto function_builder = getFunctionForTupleArithmetic(arguments[0].type, arguments[1].type, context))
{
return function_builder->build(arguments)->execute(arguments, result_type, input_rows_count);
return function_builder->build(arguments)->execute(arguments, result_type, input_rows_count, /* dry_run = */ false);
}
/// Special case when the function is multiply or divide, one of arguments is Tuple and another is Number.

2
src/Functions/FunctionUnaryArithmetic.h
View File

@ -339,7 +339,7 @@ public:
/// Special case when the function is negate, argument is tuple.
if (auto function_builder = getFunctionForTupleArithmetic(arguments[0].type, context))
{
return function_builder->build(arguments)->execute(arguments, result_type, input_rows_count);
return function_builder->build(arguments)->execute(arguments, result_type, input_rows_count, /* dry_run = */ false);
}
ColumnPtr result_column;

14
src/Functions/FunctionsComparison.h
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@ -990,7 +990,7 @@ private:
convolution_columns[i].type = impl->getResultType();
/// Comparison of the elements.
convolution_columns[i].column = impl->execute(tmp_columns, impl->getResultType(), input_rows_count);
convolution_columns[i].column = impl->execute(tmp_columns, impl->getResultType(), input_rows_count, /* dry_run = */ false);
}
if (tuple_size == 1)
@ -1001,7 +1001,7 @@ private:
/// Logical convolution.
auto impl = func_convolution->build(convolution_columns);
return impl->execute(convolution_columns, impl->getResultType(), input_rows_count);
return impl->execute(convolution_columns, impl->getResultType(), input_rows_count, /* dry_run = */ false);
}
ColumnPtr executeTupleLessGreaterImpl(
@ -1033,18 +1033,18 @@ private:
{
auto impl_head = func_compare_head->build(tmp_columns);
less_columns[i].type = impl_head->getResultType();
less_columns[i].column = impl_head->execute(tmp_columns, less_columns[i].type, input_rows_count);
less_columns[i].column = impl_head->execute(tmp_columns, less_columns[i].type, input_rows_count, /* dry_run = */ false);
auto impl_equals = func_equals->build(tmp_columns);
equal_columns[i].type = impl_equals->getResultType();
equal_columns[i].column = impl_equals->execute(tmp_columns, equal_columns[i].type, input_rows_count);
equal_columns[i].column = impl_equals->execute(tmp_columns, equal_columns[i].type, input_rows_count, /* dry_run = */ false);
}
else
{
auto impl_tail = func_compare_tail->build(tmp_columns);
less_columns[i].type = impl_tail->getResultType();
less_columns[i].column = impl_tail->execute(tmp_columns, less_columns[i].type, input_rows_count);
less_columns[i].column = impl_tail->execute(tmp_columns, less_columns[i].type, input_rows_count, /* dry_run = */ false);
}
}
@ -1063,13 +1063,13 @@ private:
tmp_columns[1] = equal_columns[i];
auto func_and_adaptor = func_and->build(tmp_columns);
tmp_columns[0].column = func_and_adaptor->execute(tmp_columns, func_and_adaptor->getResultType(), input_rows_count);
tmp_columns[0].column = func_and_adaptor->execute(tmp_columns, func_and_adaptor->getResultType(), input_rows_count, /* dry_run = */ false);
tmp_columns[0].type = func_and_adaptor->getResultType();
tmp_columns[1] = less_columns[i];
auto func_or_adaptor = func_or->build(tmp_columns);
tmp_columns[0].column = func_or_adaptor->execute(tmp_columns, func_or_adaptor->getResultType(), input_rows_count);
tmp_columns[0].column = func_or_adaptor->execute(tmp_columns, func_or_adaptor->getResultType(), input_rows_count, /* dry_run = */ false);
tmp_columns[tmp_columns.size() - 1].type = func_or_adaptor->getResultType();
}

8
src/Functions/FunctionsConversion.cpp
View File

@ -3243,11 +3243,9 @@ private:
{
auto function_adaptor = std::make_unique<FunctionToOverloadResolverAdaptor>(function)->build({ColumnWithTypeAndName{nullptr, from_type, ""}});
return [function_adaptor]
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count)
{
return function_adaptor->execute(arguments, result_type, input_rows_count);
};
return [function_adaptor](
ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count)
{ return function_adaptor->execute(arguments, result_type, input_rows_count, /* dry_run = */ false); };
}
static WrapperType createToNullableColumnWrapper()

2
src/Functions/FunctionsExternalDictionaries.h
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@ -644,7 +644,7 @@ private:
};
auto rows = mask_column->size();
result_column = if_func->build(if_args)->execute(if_args, result_type, rows);
result_column = if_func->build(if_args)->execute(if_args, result_type, rows, /* dry_run = */ false);
}

2
src/Functions/FunctionsOpDate.cpp
View File

@ -73,7 +73,7 @@ public:
auto op_build = op->build(arguments);
auto res_type = op_build->getResultType();
return op_build->execute(arguments, res_type, input_rows_count);
return op_build->execute(arguments, res_type, input_rows_count, /* dry_run = */ false);
}
private:

2
src/Functions/IFunction.h
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@ -136,7 +136,7 @@ public:
const ColumnsWithTypeAndName & arguments,
const DataTypePtr & result_type,
size_t input_rows_count,
bool dry_run = false) const;
bool dry_run) const;
/// Get the main function name.
virtual String getName() const = 0;

16
src/Functions/Kusto/KqlArraySort.cpp
View File

@ -117,11 +117,11 @@ public:
}
auto zipped
= FunctionFactory::instance().get("arrayZip", context)->build(new_args)->execute(new_args, result_type, input_rows_count);
= FunctionFactory::instance().get("arrayZip", context)->build(new_args)->execute(new_args, result_type, input_rows_count, /* dry_run = */ false);
ColumnsWithTypeAndName sort_arg({{zipped, std::make_shared<DataTypeArray>(result_type), "zipped"}});
auto sorted_tuple
= FunctionFactory::instance().get(sort_function, context)->build(sort_arg)->execute(sort_arg, result_type, input_rows_count);
= FunctionFactory::instance().get(sort_function, context)->build(sort_arg)->execute(sort_arg, result_type, input_rows_count, /* dry_run = */ false);
auto null_type = std::make_shared<DataTypeNullable>(std::make_shared<DataTypeInt8>());
@ -140,7 +140,7 @@ public:
{null_type->createColumnConstWithDefaultValue(input_rows_count), null_type, "NULL"},
});
tuple_columns[i] = fun_array->build(null_array_arg)->execute(null_array_arg, arg_type, input_rows_count);
tuple_columns[i] = fun_array->build(null_array_arg)->execute(null_array_arg, arg_type, input_rows_count, /* dry_run = */ false);
tuple_columns[i] = tuple_columns[i]->convertToFullColumnIfConst();
}
else
@ -151,7 +151,7 @@ public:
auto tuple_coulmn = FunctionFactory::instance()
.get("tupleElement", context)
->build(untuple_args)
->execute(untuple_args, result_type, input_rows_count);
->execute(untuple_args, result_type, input_rows_count, /* dry_run = */ false);
auto out_tmp = ColumnArray::create(nested_types[i]->createColumn());
@ -190,7 +190,7 @@ public:
slice_index.column = FunctionFactory::instance()
.get("indexOf", context)
->build(indexof_args)
->execute(indexof_args, result_type, input_rows_count);
->execute(indexof_args, result_type, input_rows_count, /* dry_run = */ false);
auto null_index_in_array = slice_index.column->get64(0);
if (null_index_in_array > 0)
@ -218,15 +218,15 @@ public:
ColumnsWithTypeAndName slice_args_right(
{{ColumnWithTypeAndName(tuple_columns[i], arg_type, "array")}, slice_index});
ColumnWithTypeAndName arr_left{
fun_slice->build(slice_args_left)->execute(slice_args_left, arg_type, input_rows_count), arg_type, ""};
fun_slice->build(slice_args_left)->execute(slice_args_left, arg_type, input_rows_count, /* dry_run = */ false), arg_type, ""};
ColumnWithTypeAndName arr_right{
fun_slice->build(slice_args_right)->execute(slice_args_right, arg_type, input_rows_count), arg_type, ""};
fun_slice->build(slice_args_right)->execute(slice_args_right, arg_type, input_rows_count, /* dry_run = */ false), arg_type, ""};
ColumnsWithTypeAndName arr_cancat({arr_right, arr_left});
auto out_tmp = FunctionFactory::instance()
.get("arrayConcat", context)
->build(arr_cancat)
->execute(arr_cancat, arg_type, input_rows_count);
->execute(arr_cancat, arg_type, input_rows_count, /* dry_run = */ false);
adjusted_columns[i] = std::move(out_tmp);
}
}

2
src/Functions/Kusto/KqlFunctionBase.h
View File

@ -23,7 +23,7 @@ public:
{DataTypeUInt8().createColumnConst(1, toField(UInt8(1))), std::make_shared<DataTypeUInt8>(), ""},
{DataTypeUInt8().createColumnConst(1, toField(UInt8(2))), std::make_shared<DataTypeUInt8>(), ""}
});
auto if_res = FunctionFactory::instance().get("if", context)->build(if_columns)->execute(if_columns, std::make_shared<DataTypeUInt8>(), input_rows_count);
auto if_res = FunctionFactory::instance().get("if", context)->build(if_columns)->execute(if_columns, std::make_shared<DataTypeUInt8>(), input_rows_count, /* dry_run = */ false);
auto result = if_res->getUInt(0);
return (result == 1);
}

2
src/Functions/array/arrayIntersect.cpp
View File

@ -339,7 +339,7 @@ static ColumnPtr callFunctionNotEquals(ColumnWithTypeAndName first, ColumnWithTy
{
ColumnsWithTypeAndName args{first, second};
auto eq_func = FunctionFactory::instance().get("notEquals", context)->build(args);
return eq_func->execute(args, eq_func->getResultType(), args.front().column->size());
return eq_func->execute(args, eq_func->getResultType(), args.front().column->size(), /* dry_run = */ false);
}
template <typename Mode>

2
src/Functions/array/arrayJaccardIndex.cpp
View File

@ -113,7 +113,7 @@ public:
ColumnWithTypeAndName intersect_column;
intersect_column.type = intersect_array->getResultType();
intersect_column.column = intersect_array->execute(arguments, intersect_column.type, input_rows_count);
intersect_column.column = intersect_array->execute(arguments, intersect_column.type, input_rows_count, /* dry_run = */ false);
const auto * intersect_column_type = checkAndGetDataType<DataTypeArray>(intersect_column.type.get());
if (!intersect_column_type)

6
src/Functions/caseWithExpression.cpp
View File

@ -93,12 +93,12 @@ public:
auto fun_array = FunctionFactory::instance().get("array", context);
src_array_col.column = fun_array->build(src_array_elems)->execute(src_array_elems, src_array_type, input_rows_count);
dst_array_col.column = fun_array->build(dst_array_elems)->execute(dst_array_elems, dst_array_type, input_rows_count);
src_array_col.column = fun_array->build(src_array_elems)->execute(src_array_elems, src_array_type, input_rows_count, /* dry_run = */ false);
dst_array_col.column = fun_array->build(dst_array_elems)->execute(dst_array_elems, dst_array_type, input_rows_count, /* dry_run = */ false);
/// Execute transform.
ColumnsWithTypeAndName transform_args{args.front(), src_array_col, dst_array_col, args.back()};
return FunctionFactory::instance().get("transform", context)->build(transform_args)->execute(transform_args, result_type, input_rows_count);
return FunctionFactory::instance().get("transform", context)->build(transform_args)->execute(transform_args, result_type, input_rows_count, /* dry_run = */ false);
}
private:

6
src/Functions/coalesce.cpp
View File

@ -133,11 +133,11 @@ public:
{
tmp_args[0] = filtered_args[i];
auto & cond = multi_if_args.emplace_back(ColumnWithTypeAndName{nullptr, std::make_shared<DataTypeUInt8>(), ""});
cond.column = is_not_null->build(tmp_args)->execute(tmp_args, cond.type, input_rows_count);
cond.column = is_not_null->build(tmp_args)->execute(tmp_args, cond.type, input_rows_count, /* dry_run = */ false);
tmp_args[0] = filtered_args[i];
auto & val = multi_if_args.emplace_back(ColumnWithTypeAndName{nullptr, removeNullable(filtered_args[i].type), ""});
val.column = assume_not_null->build(tmp_args)->execute(tmp_args, val.type, input_rows_count);
val.column = assume_not_null->build(tmp_args)->execute(tmp_args, val.type, input_rows_count, /* dry_run = */ false);
}
}
@ -152,7 +152,7 @@ public:
/// use function "if" instead, because it's implemented more efficient.
/// TODO: make "multiIf" the same efficient.
FunctionOverloadResolverPtr if_or_multi_if = multi_if_args.size() == 3 ? if_function : multi_if_function;
ColumnPtr res = if_or_multi_if->build(multi_if_args)->execute(multi_if_args, result_type, input_rows_count);
ColumnPtr res = if_or_multi_if->build(multi_if_args)->execute(multi_if_args, result_type, input_rows_count, /* dry_run = */ false);
/// if last argument is not nullable, result should be also not nullable
if (!multi_if_args.back().column->isNullable() && res->isNullable())

4
src/Functions/date_trunc.cpp
View File

@ -151,10 +151,10 @@ public:
auto to_start_of_interval = FunctionFactory::instance().get("toStartOfInterval", context);
if (arguments.size() == 2)
return to_start_of_interval->build(temp_columns)->execute(temp_columns, result_type, input_rows_count);
return to_start_of_interval->build(temp_columns)->execute(temp_columns, result_type, input_rows_count, /* dry_run = */ false);
temp_columns[2] = arguments[2];
return to_start_of_interval->build(temp_columns)->execute(temp_columns, result_type, input_rows_count);
return to_start_of_interval->build(temp_columns)->execute(temp_columns, result_type, input_rows_count, /* dry_run = */ false);
}
bool hasInformationAboutMonotonicity() const override

4
src/Functions/ifNotFinite.cpp
View File

@ -45,7 +45,7 @@ public:
{
ColumnsWithTypeAndName is_finite_columns{arguments[0]};
auto is_finite = FunctionFactory::instance().get("isFinite", context)->build(is_finite_columns);
auto res = is_finite->execute(is_finite_columns, is_finite->getResultType(), input_rows_count);
auto res = is_finite->execute(is_finite_columns, is_finite->getResultType(), input_rows_count, /* dry_run = */ false);
ColumnsWithTypeAndName if_columns
{
@ -55,7 +55,7 @@ public:
};
auto func_if = FunctionFactory::instance().get("if", context)->build(if_columns);
return func_if->execute(if_columns, result_type, input_rows_count);
return func_if->execute(if_columns, result_type, input_rows_count, /* dry_run = */ false);
}
private:

6
src/Functions/ifNull.cpp
View File

@ -66,11 +66,11 @@ public:
auto is_not_null = FunctionFactory::instance().get("isNotNull", context)->build(columns);
auto is_not_null_type = std::make_shared<DataTypeUInt8>();
auto is_not_null_res = is_not_null->execute(columns, is_not_null_type, input_rows_count);
auto is_not_null_res = is_not_null->execute(columns, is_not_null_type, input_rows_count, /* dry_run = */ false);
auto assume_not_null = FunctionFactory::instance().get("assumeNotNull", context)->build(columns);
auto assume_not_null_type = removeNullable(arguments[0].type);
auto assume_nut_null_res = assume_not_null->execute(columns, assume_not_null_type, input_rows_count);
auto assume_nut_null_res = assume_not_null->execute(columns, assume_not_null_type, input_rows_count, /* dry_run = */ false);
ColumnsWithTypeAndName if_columns
{
@ -80,7 +80,7 @@ public:
};
auto func_if = FunctionFactory::instance().get("if", context)->build(if_columns);
return func_if->execute(if_columns, result_type, input_rows_count);
return func_if->execute(if_columns, result_type, input_rows_count, /* dry_run = */ false);
}
private:

6
src/Functions/map.cpp
View File

@ -133,13 +133,13 @@ public:
const DataTypePtr & value_array_type = std::make_shared<DataTypeArray>(value_type);
/// key_array = array(args[0], args[2]...)
ColumnPtr key_array = function_array->build(key_args)->execute(key_args, key_array_type, input_rows_count);
ColumnPtr key_array = function_array->build(key_args)->execute(key_args, key_array_type, input_rows_count, /* dry_run = */ false);
/// value_array = array(args[1], args[3]...)
ColumnPtr value_array = function_array->build(value_args)->execute(value_args, value_array_type, input_rows_count);
ColumnPtr value_array = function_array->build(value_args)->execute(value_args, value_array_type, input_rows_count, /* dry_run = */ false);
/// result = mapFromArrays(key_array, value_array)
ColumnsWithTypeAndName map_args{{key_array, key_array_type, ""}, {value_array, value_array_type, ""}};
return function_map_from_arrays->build(map_args)->execute(map_args, result_type, input_rows_count);
return function_map_from_arrays->build(map_args)->execute(map_args, result_type, input_rows_count, /* dry_run = */ false);
}
private:

2
src/Functions/monthName.cpp
View File

@ -70,7 +70,7 @@ public:
};
auto date_name_func = function_resolver->build(temporary_columns);
return date_name_func->execute(temporary_columns, result_type, input_rows_count);
return date_name_func->execute(temporary_columns, result_type, input_rows_count, /* dry_run = */ false);
}
private:

4
src/Functions/nullIf.cpp
View File

@ -49,7 +49,7 @@ public:
/// nullIf(col1, col2) == if(col1 = col2, NULL, col1)
auto equals_func = FunctionFactory::instance().get("equals", context)->build(arguments);
auto eq_res = equals_func->execute(arguments, equals_func->getResultType(), input_rows_count);
auto eq_res = equals_func->execute(arguments, equals_func->getResultType(), input_rows_count, /* dry_run = */ false);
ColumnsWithTypeAndName if_columns
{
@ -59,7 +59,7 @@ public:
};
auto func_if = FunctionFactory::instance().get("if", context)->build(if_columns);
auto if_res = func_if->execute(if_columns, result_type, input_rows_count);
auto if_res = func_if->execute(if_columns, result_type, input_rows_count, /* dry_run = */ false);
return makeNullable(if_res);
}

2
src/Functions/printf.cpp
View File

@ -242,7 +242,7 @@ public:
}
}
auto res = function_concat->build(concat_args)->execute(concat_args, std::make_shared<DataTypeString>(), input_rows_count);
auto res = function_concat->build(concat_args)->execute(concat_args, std::make_shared<DataTypeString>(), input_rows_count, /* dry_run = */ false);
return res;
}

2
src/Functions/toBool.cpp
View File

@ -55,7 +55,7 @@ namespace
};
auto func_cast = createInternalCast(arguments[0], result_type, CastType::nonAccurate, {});
return func_cast->execute(cast_args, result_type, arguments[0].column->size());
return func_cast->execute(cast_args, result_type, arguments[0].column->size(), /* dry_run = */ false);
}
};
}

2
src/Functions/transform.cpp
View File

@ -214,7 +214,7 @@ namespace
auto impl = std::make_shared<FunctionToOverloadResolverAdaptor>(std::make_shared<FunctionTransform>())->build(args);
return impl->execute(args, result_type, input_rows_count);
return impl->execute(args, result_type, input_rows_count, /* dry_run = */ false);
}
void executeAnything(const IColumn * in, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted, size_t input_rows_count) const

4
src/Functions/tupleHammingDistance.cpp
View File

@ -119,7 +119,7 @@ public:
ColumnWithTypeAndName column;
column.type = elem_compare->getResultType();
column.column = elem_compare->execute({left, right}, column.type, input_rows_count);
column.column = elem_compare->execute({left, right}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -129,7 +129,7 @@ public:
{
auto plus_elem = plus->build({res, column});
auto res_type = plus_elem->getResultType();
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
res.column = plus_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}

50
src/Functions/vectorFunctions.cpp
View File

@ -136,7 +136,7 @@ public:
ColumnWithTypeAndName left{left_elements[i], left_types[i], {}};
ColumnWithTypeAndName right{right_elements[i], right_types[i], {}};
auto elem_func = func->build(ColumnsWithTypeAndName{left, right});
columns[i] = elem_func->execute({left, right}, elem_func->getResultType(), input_rows_count)
columns[i] = elem_func->execute({left, right}, elem_func->getResultType(), input_rows_count, /* dry_run = */ false)
->convertToFullColumnIfConst();
}
@ -221,7 +221,7 @@ public:
{
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
auto elem_negate = negate->build(ColumnsWithTypeAndName{cur});
columns[i] = elem_negate->execute({cur}, elem_negate->getResultType(), input_rows_count)
columns[i] = elem_negate->execute({cur}, elem_negate->getResultType(), input_rows_count, /* dry_run = */ false)
->convertToFullColumnIfConst();
}
@ -295,7 +295,7 @@ public:
{
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
auto elem_func = func->build(ColumnsWithTypeAndName{cur, p_column});
columns[i] = elem_func->execute({cur, p_column}, elem_func->getResultType(), input_rows_count)
columns[i] = elem_func->execute({cur, p_column}, elem_func->getResultType(), input_rows_count, /* dry_run = */ false)
->convertToFullColumnIfConst();
}
@ -413,7 +413,7 @@ public:
ColumnWithTypeAndName column;
column.type = elem_multiply->getResultType();
column.column = elem_multiply->execute({left, right}, column.type, input_rows_count);
column.column = elem_multiply->execute({left, right}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -423,7 +423,7 @@ public:
{
auto plus_elem = plus->build({res, column});
auto res_type = plus_elem->getResultType();
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
res.column = plus_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}
@ -510,7 +510,7 @@ public:
ColumnWithTypeAndName column{cur_elements[i], cur_types[i], {}};
auto elem_plus = plus->build(ColumnsWithTypeAndName{i == 0 ? arguments[0] : res, column});
auto res_type = elem_plus->getResultType();
res.column = elem_plus->execute({i == 0 ? arguments[0] : res, column}, res_type, input_rows_count);
res.column = elem_plus->execute({i == 0 ? arguments[0] : res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
@ -665,14 +665,14 @@ public:
{
auto minus = FunctionFactory::instance().get("minus", context);
auto elem_minus = minus->build({left, arguments[1]});
last_column = elem_minus->execute({left, arguments[1]}, arguments[1].type, input_rows_count)
last_column = elem_minus->execute({left, arguments[1]}, arguments[1].type, input_rows_count, /* dry_run = */ false)
->convertToFullColumnIfConst();
}
else
{
auto plus = FunctionFactory::instance().get("plus", context);
auto elem_plus = plus->build({left, arguments[1]});
last_column = elem_plus->execute({left, arguments[1]}, arguments[1].type, input_rows_count)
last_column = elem_plus->execute({left, arguments[1]}, arguments[1].type, input_rows_count, /* dry_run = */ false)
->convertToFullColumnIfConst();
}
}
@ -682,7 +682,7 @@ public:
{
auto negate = FunctionFactory::instance().get("negate", context);
auto elem_negate = negate->build({arguments[1]});
last_column = elem_negate->execute({arguments[1]}, arguments[1].type, input_rows_count);
last_column = elem_negate->execute({arguments[1]}, arguments[1].type, input_rows_count, /* dry_run = */ false);
}
else
{
@ -783,7 +783,7 @@ public:
ColumnWithTypeAndName column;
column.type = elem_abs->getResultType();
column.column = elem_abs->execute({cur}, column.type, input_rows_count);
column.column = elem_abs->execute({cur}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -793,7 +793,7 @@ public:
{
auto plus_elem = plus->build({res, column});
auto res_type = plus_elem->getResultType();
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
res.column = plus_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}
@ -885,7 +885,7 @@ public:
ColumnWithTypeAndName column;
column.type = elem_multiply->getResultType();
column.column = elem_multiply->execute({cur, cur}, column.type, input_rows_count);
column.column = elem_multiply->execute({cur, cur}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -895,7 +895,7 @@ public:
{
auto plus_elem = plus->build({res, column});
auto res_type = plus_elem->getResultType();
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
res.column = plus_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}
@ -949,7 +949,7 @@ public:
auto sqrt = FunctionFactory::instance().get("sqrt", context);
auto sqrt_elem = sqrt->build({squared_res});
return sqrt_elem->execute({squared_res}, sqrt_elem->getResultType(), input_rows_count);
return sqrt_elem->execute({squared_res}, sqrt_elem->getResultType(), input_rows_count, /* dry_run = */ false);
}
};
using FunctionL2Norm = FunctionLNorm<L2Label>;
@ -1036,7 +1036,7 @@ public:
ColumnWithTypeAndName column;
column.type = elem_abs->getResultType();
column.column = elem_abs->execute({cur}, column.type, input_rows_count);
column.column = elem_abs->execute({cur}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -1046,7 +1046,7 @@ public:
{
auto max_elem = max->build({res, column});
auto res_type = max_elem->getResultType();
res.column = max_elem->execute({res, column}, res_type, input_rows_count);
res.column = max_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}
@ -1163,14 +1163,14 @@ public:
{
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
cur.column = elem_abs->execute({cur}, elem_abs->getResultType(), input_rows_count);
cur.column = elem_abs->execute({cur}, elem_abs->getResultType(), input_rows_count, /* dry_run = */ false);
cur.type = elem_abs->getResultType();
auto elem_pow = pow->build(ColumnsWithTypeAndName{cur, p_column});
ColumnWithTypeAndName column;
column.type = elem_pow->getResultType();
column.column = elem_pow->execute({cur, p_column}, column.type, input_rows_count);
column.column = elem_pow->execute({cur, p_column}, column.type, input_rows_count, /* dry_run = */ false);
if (i == 0)
{
@ -1180,7 +1180,7 @@ public:
{
auto plus_elem = plus->build({res, column});
auto res_type = plus_elem->getResultType();
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
res.column = plus_elem->execute({res, column}, res_type, input_rows_count, /* dry_run = */ false);
res.type = res_type;
}
}
@ -1188,7 +1188,7 @@ public:
ColumnWithTypeAndName inv_p_column{DataTypeFloat64().createColumnConst(input_rows_count, 1 / p),
std::make_shared<DataTypeFloat64>(), {}};
auto pow_elem = pow->build({res, inv_p_column});
return pow_elem->execute({res, inv_p_column}, pow_elem->getResultType(), input_rows_count);
return pow_elem->execute({res, inv_p_column}, pow_elem->getResultType(), input_rows_count, /* dry_run = */ false);
}
};
using FunctionLpNorm = FunctionLNorm<LpLabel>;
@ -1247,12 +1247,12 @@ public:
if constexpr (FuncLabel::name[0] == 'p')
{
auto func_elem = func->build({minus_res, arguments[2]});
return func_elem->execute({minus_res, arguments[2]}, func_elem->getResultType(), input_rows_count);
return func_elem->execute({minus_res, arguments[2]}, func_elem->getResultType(), input_rows_count, /* dry_run = */ false);
}
else
{
auto func_elem = func->build({minus_res});
return func_elem->execute({minus_res}, func_elem->getResultType(), input_rows_count);
return func_elem->execute({minus_res}, func_elem->getResultType(), input_rows_count, /* dry_run = */ false);
}
}
};
@ -1394,16 +1394,16 @@ public:
ColumnWithTypeAndName multiply_result;
multiply_result.type = multiply_elem->getResultType();
multiply_result.column = multiply_elem->execute({first_norm, second_norm},
multiply_result.type, input_rows_count);
multiply_result.type, input_rows_count, /* dry_run = */ false);
auto divide_elem = divide->build({dot_result, multiply_result});
ColumnWithTypeAndName divide_result;
divide_result.type = divide_elem->getResultType();
divide_result.column = divide_elem->execute({dot_result, multiply_result},
divide_result.type, input_rows_count);
divide_result.type, input_rows_count, /* dry_run = */ false);
auto minus_elem = minus->build({one, divide_result});
return minus_elem->execute({one, divide_result}, minus_elem->getResultType(), input_rows_count);
return minus_elem->execute({one, divide_result}, minus_elem->getResultType(), input_rows_count, /* dry_run = */ false);
}
};

6
src/Interpreters/ArrayJoinAction.cpp
View File

@ -167,7 +167,7 @@ ArrayJoinResultIterator::ArrayJoinResultIterator(const ArrayJoinAction * array_j
ColumnWithTypeAndName array_col = convertArrayJoinColumn(src_col);
ColumnsWithTypeAndName tmp_block{array_col}; //, {{}, uint64, {}}};
auto len_col = function_length->build(tmp_block)->execute(tmp_block, uint64, rows);
auto len_col = function_length->build(tmp_block)->execute(tmp_block, uint64, rows, /* dry_run = */ false);
updateMaxLength(*max_length, *len_col);
}
@ -178,7 +178,7 @@ ArrayJoinResultIterator::ArrayJoinResultIterator(const ArrayJoinAction * array_j
ColumnWithTypeAndName array_col = convertArrayJoinColumn(src_col);
ColumnsWithTypeAndName tmp_block{array_col, column_of_max_length};
array_col.column = function_array_resize->build(tmp_block)->execute(tmp_block, array_col.type, rows);
array_col.column = function_array_resize->build(tmp_block)->execute(tmp_block, array_col.type, rows, /* dry_run = */ false);
src_col = std::move(array_col);
any_array_map_ptr = src_col.column->convertToFullColumnIfConst();
@ -195,7 +195,7 @@ ArrayJoinResultIterator::ArrayJoinResultIterator(const ArrayJoinAction * array_j
const auto & src_col = block.getByName(name);
ColumnWithTypeAndName array_col = convertArrayJoinColumn(src_col);
ColumnsWithTypeAndName tmp_block{array_col};
non_empty_array_columns[name] = function_builder->build(tmp_block)->execute(tmp_block, array_col.type, array_col.column->size());
non_empty_array_columns[name] = function_builder->build(tmp_block)->execute(tmp_block, array_col.type, array_col.column->size(), /* dry_run = */ false);
}
any_array_map_ptr = non_empty_array_columns.begin()->second->convertToFullColumnIfConst();

2
src/Interpreters/ExpressionJIT.cpp
View File

@ -266,7 +266,7 @@ public:
{
const auto & type = function.getArgumentTypes().at(0);
ColumnsWithTypeAndName args{{type->createColumnConst(1, value), type, "x" }};
auto col = function.execute(args, function.getResultType(), 1);
auto col = function.execute(args, function.getResultType(), 1, /* dry_run = */ false);
col->get(0, value);
}

4
src/Interpreters/castColumn.cpp
View File

@ -34,8 +34,8 @@ static ColumnPtr castColumn(CastType cast_type, const ColumnWithTypeAndName & ar
FunctionBasePtr func_cast = cache ? cache->getOrSet(cast_type, from_name, to_name, std::move(get_cast_func)) : get_cast_func();
if (cast_type == CastType::accurateOrNull)
return func_cast->execute(arguments, makeNullable(type), arg.column->size());
return func_cast->execute(arguments, type, arg.column->size());
return func_cast->execute(arguments, makeNullable(type), arg.column->size(), /* dry_run = */ false);
return func_cast->execute(arguments, type, arg.column->size(), /* dry_run = */ false);
}
ColumnPtr castColumn(const ColumnWithTypeAndName & arg, const DataTypePtr & type, InternalCastFunctionCache * cache)

2
src/Processors/Transforms/WindowTransform.cpp
View File

@ -2350,7 +2350,7 @@ struct WindowFunctionLagLeadInFrame final : public StatelessWindowFunction
}
};
return func_cast->execute(arguments, argument_types[0], columns[idx[2]]->size());
return func_cast->execute(arguments, argument_types[0], columns[idx[2]]->size(), /* dry_run = */ false);
}
static DataTypePtr createResultType(const DataTypes & argument_types_, const std::string & name_)

6
src/Storages/MergeTree/KeyCondition.cpp
View File

@ -906,7 +906,7 @@ static Field applyFunctionForField(
{ arg_type->createColumnConst(1, arg_value), arg_type, "x" },
};
auto col = func->execute(columns, func->getResultType(), 1);
auto col = func->execute(columns, func->getResultType(), 1, /* dry_run = */ false);
return (*col)[0];
}
@ -940,7 +940,7 @@ static FieldRef applyFunction(const FunctionBasePtr & func, const DataTypePtr &
/// When cache is missed, we calculate the whole column where the field comes from. This will avoid repeated calculation.
ColumnsWithTypeAndName args{(*columns)[field.column_idx]};
field.columns->emplace_back(ColumnWithTypeAndName {nullptr, func->getResultType(), result_name});
(*columns)[result_idx].column = func->execute(args, (*columns)[result_idx].type, columns->front().column->size());
(*columns)[result_idx].column = func->execute(args, (*columns)[result_idx].type, columns->front().column->size(), /* dry_run = */ false);
}
return {field.columns, field.row_idx, result_idx};
@ -1011,7 +1011,7 @@ bool applyFunctionChainToColumn(
return false;
result_column = castColumnAccurate({result_column, result_type, ""}, argument_type);
result_column = func->execute({{result_column, argument_type, ""}}, func->getResultType(), result_column->size());
result_column = func->execute({{result_column, argument_type, ""}}, func->getResultType(), result_column->size(), /* dry_run = */ false);
result_type = func->getResultType();
// Transforming nullable columns to the nested ones, in case no nulls found