ClickHouse/src/Functions/transform.cpp
2023-04-26 10:46:35 +02:00

753 lines
33 KiB
C++

#include <mutex>
#include <base/bit_cast.h>
#include <Columns/ColumnArray.h>
#include <Columns/ColumnConst.h>
#include <Columns/ColumnDecimal.h>
#include <Columns/ColumnNullable.h>
#include <Columns/ColumnString.h>
#include <Columns/ColumnsNumber.h>
#include <Core/DecimalFunctions.h>
#include <DataTypes/DataTypeArray.h>
#include <DataTypes/getLeastSupertype.h>
#include <Functions/FunctionFactory.h>
#include <Functions/FunctionHelpers.h>
#include <Functions/IFunction.h>
#include <Interpreters/castColumn.h>
#include <Interpreters/convertFieldToType.h>
#include <base/StringRef.h>
#include <Common/Arena.h>
#include <Common/FieldVisitorConvertToNumber.h>
#include <Common/FieldVisitorDump.h>
#include <Common/HashTable/HashMap.h>
#include <Common/typeid_cast.h>
namespace DB
{
namespace ErrorCodes
{
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
extern const int BAD_ARGUMENTS;
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
extern const int ILLEGAL_COLUMN;
}
namespace
{
/** transform(x, from_array, to_array[, default]) - convert x according to an explicitly passed match.
*/
/** transform(x, [from...], [to...], default)
* - converts the values according to the explicitly specified mapping.
*
* x - what to transform.
* from - a constant array of values for the transformation.
* to - a constant array of values into which values from `from` must be transformed.
* default - what value to use if x is not equal to any of the values in `from`.
* `from` and `to` - arrays of the same size.
*
* Types:
* transform(T, Array(T), Array(U), U) -> U
*
* transform(x, [from...], [to...])
* - if `default` is not specified, then for values of `x` for which there is no corresponding element in `from`, the unchanged value of `x` is returned.
*
* Types:
* transform(T, Array(T), Array(T)) -> T
*
* Note: the implementation is rather cumbersome.
*/
class FunctionTransform : public IFunction
{
public:
static constexpr auto name = "transform";
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionTransform>(); }
String getName() const override { return name; }
bool isVariadic() const override { return true; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
size_t getNumberOfArguments() const override { return 0; }
bool useDefaultImplementationForConstants() const override { return false; }
bool useDefaultImplementationForNulls() const override { return false; }
bool useDefaultImplementationForNothing() const override { return false; }
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1, 2}; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
const auto args_size = arguments.size();
if (args_size != 3 && args_size != 4)
throw Exception(
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
"Number of arguments for function {} doesn't match: "
"passed {}, should be 3 or 4",
getName(),
args_size);
const DataTypePtr & type_x = arguments[0];
const auto & type_x_nn = removeNullable(type_x);
if (!type_x_nn->isValueRepresentedByNumber() && !isString(type_x_nn) && !isNothing(type_x_nn))
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Unsupported type {} of first argument "
"of function {}, must be numeric type or Date/DateTime or String",
type_x->getName(),
getName());
const DataTypeArray * type_arr_from = checkAndGetDataType<DataTypeArray>(arguments[1].get());
if (!type_arr_from)
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Second argument of function {}, must be array of source values to transform from.",
getName());
const auto type_arr_from_nested = type_arr_from->getNestedType();
if ((type_x->isValueRepresentedByNumber() != type_arr_from_nested->isValueRepresentedByNumber())
|| (isString(type_x) != isString(type_arr_from_nested)))
{
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"First argument and elements of array "
"of second argument of function {} must have compatible types: "
"both numeric or both strings.",
getName());
}
const DataTypeArray * type_arr_to = checkAndGetDataType<DataTypeArray>(arguments[2].get());
if (!type_arr_to)
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Third argument of function {}, must be array of destination values to transform to.",
getName());
const DataTypePtr & type_arr_to_nested = type_arr_to->getNestedType();
if (args_size == 3)
{
if ((type_x->isValueRepresentedByNumber() != type_arr_to_nested->isValueRepresentedByNumber())
|| (isString(type_x) != isString(type_arr_to_nested)))
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Function {} has signature: "
"transform(T, Array(T), Array(U), U) -> U; "
"or transform(T, Array(T), Array(T)) -> T; where T and U are types.",
getName());
auto ret = tryGetLeastSupertype(DataTypes{type_arr_to_nested, type_x});
if (!ret)
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Function {} has signature: "
"transform(T, Array(T), Array(U), U) -> U; "
"or transform(T, Array(T), Array(T)) -> T; where T and U are types.",
getName());
checkAllowedType(ret);
return ret;
}
else
{
auto ret = tryGetLeastSupertype(DataTypes{type_arr_to_nested, arguments[3]});
if (!ret)
throw Exception(
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
"Function {} have signature: "
"transform(T, Array(T), Array(U), U) -> U; "
"or transform(T, Array(T), Array(T)) -> T; where T and U are types.",
getName());
checkAllowedType(ret);
return ret;
}
}
ColumnPtr
executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
{
initialize(arguments, result_type);
const auto * in = arguments.front().column.get();
if (isColumnConst(*in))
return executeConst(arguments, result_type, input_rows_count);
ColumnPtr default_non_const;
if (!cache.default_column && arguments.size() == 4)
default_non_const = castColumn(arguments[3], result_type);
auto column_result = result_type->createColumn();
if (!executeNum<ColumnVector<UInt8>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<UInt16>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<UInt32>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<UInt64>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Int8>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Int16>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Int32>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Int64>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Float32>>(in, *column_result, default_non_const)
&& !executeNum<ColumnVector<Float64>>(in, *column_result, default_non_const)
&& !executeNum<ColumnDecimal<Decimal32>>(in, *column_result, default_non_const)
&& !executeNum<ColumnDecimal<Decimal64>>(in, *column_result, default_non_const)
&& !executeString(in, *column_result, default_non_const))
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}", in->getName(), getName());
}
return column_result;
}
private:
static ColumnPtr executeConst(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count)
{
/// Materialize the input column and compute the function as usual.
ColumnsWithTypeAndName args = arguments;
args[0].column = args[0].column->cloneResized(input_rows_count)->convertToFullColumnIfConst();
auto impl = FunctionToOverloadResolverAdaptor(std::make_shared<FunctionTransform>()).build(args);
return impl->execute(args, result_type, input_rows_count);
}
template <typename T>
bool executeNum(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const) const
{
const auto * const in = checkAndGetColumn<T>(in_untyped);
if (!in)
return false;
const auto & pod = in->getData();
UInt32 in_scale = 0;
if constexpr (std::is_same_v<ColumnDecimal<Decimal32>, T> || std::is_same_v<ColumnDecimal<Decimal64>, T>)
in_scale = in->getScale();
if (!executeNumToString(pod, column_result, default_non_const)
&& !executeNumToNum<ColumnVector<UInt8>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<UInt16>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<UInt32>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<UInt64>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Int8>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Int16>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Int32>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Int64>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Float32>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnVector<Float64>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnDecimal<Decimal32>>(pod, column_result, default_non_const, in_scale)
&& !executeNumToNum<ColumnDecimal<Decimal64>>(pod, column_result, default_non_const, in_scale))
{
const size_t size = pod.size();
const auto & table = *cache.table_num_to_idx;
column_result.reserve(size);
for (size_t i = 0; i < size; ++i)
{
const auto * it = table.find(bit_cast<UInt64>(pod[i]));
if (it)
column_result.insertFrom(*cache.to_columns, it->getMapped());
else if (cache.default_column)
column_result.insertFrom(*cache.default_column, 0);
else if (default_non_const)
column_result.insertFrom(*default_non_const, i);
else
column_result.insertFrom(*in, i);
}
}
return true;
}
template <typename T>
bool executeNumToString(const PaddedPODArray<T> & pod, IColumn & column_result, const ColumnPtr default_non_const) const
{
auto * out = typeid_cast<ColumnString *>(&column_result);
if (!out)
return false;
auto & out_offs = out->getOffsets();
const size_t size = pod.size();
out_offs.resize(size);
auto & out_chars = out->getChars();
const auto * to_col = reinterpret_cast<const ColumnString *>(cache.to_columns.get());
const auto & to_chars = to_col->getChars();
const auto & to_offs = to_col->getOffsets();
const auto & table = *cache.table_num_to_idx;
if (cache.default_column)
{
const auto * def = reinterpret_cast<const ColumnString *>(cache.default_column.get());
const auto & def_chars = def->getChars();
const auto & def_offs = def->getOffsets();
const auto * def_data = def_chars.data();
auto def_size = def_offs[0];
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_data, def_size, size);
}
else
{
const auto * def = reinterpret_cast<const ColumnString *>(default_non_const.get());
const auto & def_chars = def->getChars();
const auto & def_offs = def->getOffsets();
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, size);
}
return true;
}
template <typename Table, typename In, typename DefData, typename DefOffs>
void executeNumToStringHelper(
const Table & table,
const PaddedPODArray<In> & pod,
ColumnString::Chars & out_data,
ColumnString::Offsets & out_offsets,
const ColumnString::Chars & to_data,
const ColumnString::Offsets & to_offsets,
const DefData & def_data,
const DefOffs & def_offsets,
const size_t size) const
{
size_t out_cur_off = 0;
for (size_t i = 0; i < size; ++i)
{
const char8_t * to = nullptr;
size_t to_size = 0;
const auto * it = table.find(bit_cast<UInt64>(pod[i]));
if (it)
{
const auto idx = it->getMapped();
const auto start = to_offsets[idx - 1];
to = &to_data[start];
to_size = to_offsets[idx] - start;
}
else if constexpr (std::is_same_v<DefData, ColumnString::Chars>)
{
const auto start = def_offsets[i - 1];
to = &def_data[start];
to_size = def_offsets[i] - start;
}
else
{
to = def_data;
to_size = def_offsets;
}
out_data.resize(out_cur_off + to_size);
memcpy(&out_data[out_cur_off], to, to_size);
out_cur_off += to_size;
out_offsets[i] = out_cur_off;
}
}
template <typename T, typename U>
bool executeNumToNum(
const PaddedPODArray<U> & pod, IColumn & column_result, const ColumnPtr default_non_const, const UInt32 in_scale) const
{
auto * out = typeid_cast<T *>(&column_result);
if (!out)
return false;
auto & out_pod = out->getData();
const size_t size = pod.size();
out_pod.resize(size);
UInt32 out_scale = 0;
if constexpr (std::is_same_v<ColumnDecimal<Decimal32>, T> || std::is_same_v<ColumnDecimal<Decimal64>, T>)
out_scale = out->getScale();
const auto & to_pod = reinterpret_cast<const T *>(cache.to_columns.get())->getData();
const auto & table = *cache.table_num_to_idx;
if (cache.default_column)
{
const auto const_def = reinterpret_cast<const T *>(cache.default_column.get())->getData()[0];
executeNumToNumHelper(table, pod, out_pod, to_pod, const_def, size, out_scale, out_scale);
}
else if (default_non_const)
{
const auto & nconst_def = reinterpret_cast<const T *>(default_non_const.get())->getData();
executeNumToNumHelper(table, pod, out_pod, to_pod, nconst_def, size, out_scale, out_scale);
}
else
executeNumToNumHelper(table, pod, out_pod, to_pod, pod, size, out_scale, in_scale);
return true;
}
template <typename Table, typename In, typename Out, typename Def>
void executeNumToNumHelper(
const Table & table,
const PaddedPODArray<In> & pod,
PaddedPODArray<Out> & out_pod,
const PaddedPODArray<Out> & to_pod,
const Def & def,
const size_t size,
const UInt32 out_scale,
const UInt32 def_scale) const
{
for (size_t i = 0; i < size; ++i)
{
const auto * it = table.find(bit_cast<UInt64>(pod[i]));
if (it)
{
const auto idx = it->getMapped();
out_pod[i] = to_pod[idx];
}
else if constexpr (std::is_same_v<Def, Out>)
out_pod[i] = def;
else if constexpr (is_decimal<Out> && !is_decimal<typename Def::value_type>)
out_pod[i] = DecimalUtils::decimalFromComponents<Out>(static_cast<typename Out::NativeType>(def[i]), 0, out_scale);
else if constexpr (is_decimal<Out>)
{
if (def_scale == out_scale)
out_pod[i] = static_cast<typename Out::NativeType>(def[i]);
else
{
const auto whole = static_cast<typename Out::NativeType>(DecimalUtils::getWholePart(def[i], def_scale));
const auto fract = static_cast<typename Out::NativeType>(DecimalUtils::getFractionalPart(def[i], def_scale));
out_pod[i] = DecimalUtils::decimalFromComponents<Out>(whole, fract, out_scale);
}
}
else
out_pod[i] = static_cast<Out>(def[i]); // NOLINT(bugprone-signed-char-misuse,cert-str34-c)
}
}
bool executeString(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const) const
{
const auto * const in = checkAndGetColumn<ColumnString>(in_untyped);
if (!in)
return false;
const auto & data = in->getChars();
const auto & offsets = in->getOffsets();
if (!executeStringToString(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<UInt8>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<UInt16>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<UInt32>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<UInt64>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Int8>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Int16>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Int32>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Int64>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Float32>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnVector<Float64>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnDecimal<Decimal32>>(data, offsets, column_result, default_non_const)
&& !executeStringToNum<ColumnDecimal<Decimal64>>(data, offsets, column_result, default_non_const))
{
const size_t size = offsets.size();
const auto & table = *cache.table_string_to_idx;
ColumnString::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
const StringRef ref{&data[current_offset], offsets[i] - current_offset};
current_offset = offsets[i];
const auto * it = table.find(ref);
if (it)
column_result.insertFrom(*cache.to_columns, it->getMapped());
else if (cache.default_column)
column_result.insertFrom(*cache.default_column, 0);
else if (default_non_const)
column_result.insertFrom(*default_non_const, 0);
else
column_result.insertFrom(*in, i);
}
}
return true;
}
bool executeStringToString(
const ColumnString::Chars & data,
const ColumnString::Offsets & offsets,
IColumn & column_result,
const ColumnPtr default_non_const) const
{
auto * out = typeid_cast<ColumnString *>(&column_result);
if (!out)
return false;
auto & out_offs = out->getOffsets();
const size_t size = offsets.size();
out_offs.resize(size);
auto & out_chars = out->getChars();
const auto * to_col = reinterpret_cast<const ColumnString *>(cache.to_columns.get());
const auto & to_chars = to_col->getChars();
const auto & to_offs = to_col->getOffsets();
const auto & table = *cache.table_string_to_idx;
if (cache.default_column)
{
const auto * def = reinterpret_cast<const ColumnString *>(cache.default_column.get());
const auto & def_chars = def->getChars();
const auto & def_offs = def->getOffsets();
const auto * def_data = def_chars.data();
auto def_size = def_offs[0];
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_data, def_size, size);
}
else if (default_non_const)
{
const auto * def = reinterpret_cast<const ColumnString *>(default_non_const.get());
const auto & def_chars = def->getChars();
const auto & def_offs = def->getOffsets();
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, size);
}
else
{
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, data, offsets, size);
}
return true;
}
template <typename Table, typename DefData, typename DefOffs>
void executeStringToStringHelper(
const Table & table,
const ColumnString::Chars & data,
const ColumnString::Offsets & offsets,
ColumnString::Chars & out_data,
ColumnString::Offsets & out_offsets,
const ColumnString::Chars & to_data,
const ColumnString::Offsets & to_offsets,
const DefData & def_data,
const DefOffs & def_offsets,
const size_t size) const
{
ColumnString::Offset current_offset = 0;
size_t out_cur_off = 0;
for (size_t i = 0; i < size; ++i)
{
const char8_t * to = nullptr;
size_t to_size = 0;
const StringRef ref{&data[current_offset], offsets[i] - current_offset};
current_offset = offsets[i];
const auto * it = table.find(ref);
if (it)
{
const auto idx = it->getMapped();
const auto start = to_offsets[idx - 1];
to = &to_data[start];
to_size = to_offsets[idx] - start;
}
else if constexpr (std::is_same_v<DefData, ColumnString::Chars>)
{
const auto start = def_offsets[i - 1];
to = &def_data[start];
to_size = def_offsets[i] - start;
}
else
{
to = def_data;
to_size = def_offsets;
}
out_data.resize(out_cur_off + to_size);
memcpy(&out_data[out_cur_off], to, to_size);
out_cur_off += to_size;
out_offsets[i] = out_cur_off;
}
}
template <typename T>
bool executeStringToNum(
const ColumnString::Chars & data,
const ColumnString::Offsets & offsets,
IColumn & column_result,
const ColumnPtr default_non_const) const
{
auto * out = typeid_cast<T *>(&column_result);
if (!out)
return false;
auto & out_pod = out->getData();
const size_t size = offsets.size();
out_pod.resize(size);
const auto & to_pod = reinterpret_cast<const T *>(cache.to_columns.get())->getData();
const auto & table = *cache.table_string_to_idx;
if (cache.default_column)
{
const auto const_def = reinterpret_cast<const T *>(cache.default_column.get())->getData()[0];
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, const_def, size);
}
else
{
const auto & nconst_def = reinterpret_cast<const T *>(default_non_const.get())->getData();
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, nconst_def, size);
}
return true;
}
template <typename Table, typename Out, typename Def>
void executeStringToNumHelper(
const Table & table,
const ColumnString::Chars & data,
const ColumnString::Offsets & offsets,
PaddedPODArray<Out> & out_pod,
const PaddedPODArray<Out> & to_pod,
const Def & def,
const size_t size) const
{
ColumnString::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
const StringRef ref{&data[current_offset], offsets[i] - current_offset};
current_offset = offsets[i];
const auto * it = table.find(ref);
if (it)
{
const auto idx = it->getMapped();
out_pod[i] = to_pod[idx];
}
else if constexpr (std::is_same_v<Def, Out>)
out_pod[i] = def;
else if constexpr (is_decimal<Out>)
out_pod[i] = static_cast<typename Out::NativeType>(def[i]);
else
out_pod[i] = static_cast<Out>(def[i]); // NOLINT(bugprone-signed-char-misuse,cert-str34-c)
}
}
/// Different versions of the hash tables to implement the mapping.
struct Cache
{
using NumToIdx = HashMap<UInt64, size_t, HashCRC32<UInt64>>;
using StringToIdx = HashMap<StringRef, size_t, StringRefHash>;
std::unique_ptr<NumToIdx> table_num_to_idx;
std::unique_ptr<StringToIdx> table_string_to_idx;
ColumnPtr to_columns;
ColumnPtr default_column;
Arena string_pool;
std::atomic<bool> initialized{false};
std::mutex mutex;
};
mutable Cache cache;
static UInt64 bitCastToUInt64(const Field & x)
{
switch (x.getType())
{
case Field::Types::UInt64:
return x.get<UInt64>();
case Field::Types::Int64:
return x.get<Int64>();
case Field::Types::Float64:
return std::bit_cast<UInt64>(x.get<Float64>());
case Field::Types::Bool:
return x.get<bool>();
case Field::Types::Decimal32:
return x.get<DecimalField<Decimal32>>().getValue();
case Field::Types::Decimal64:
return x.get<DecimalField<Decimal64>>().getValue();
default:
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected type in function 'transform'");
}
}
static void checkAllowedType(const DataTypePtr & dt)
{
if (dt->isNullable())
checkAllowedTypeHelper(static_cast<const DataTypeNullable *>(dt.get())->getNestedType());
else
checkAllowedTypeHelper(dt);
}
static void checkAllowedTypeHelper(const DataTypePtr & dt)
{
if (isStringOrFixedString(dt))
return;
auto dtsize = dt->getMaximumSizeOfValueInMemory();
if (dtsize <= sizeof(UInt64))
return;
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected type {} in function 'transform'", dt->getName());
}
/// Can be called from different threads. It works only on the first call.
void initialize(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type) const
{
const ColumnConst * array_from = checkAndGetColumnConst<ColumnArray>(arguments[1].column.get());
const ColumnConst * array_to = checkAndGetColumnConst<ColumnArray>(arguments[2].column.get());
if (!array_from || !array_to)
throw Exception(
ErrorCodes::ILLEGAL_COLUMN, "Second and third arguments of function {} must be constant arrays.", getName());
if (cache.initialized)
return;
const auto & from = array_from->getValue<Array>();
const size_t size = from.size();
if (0 == size)
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Empty arrays are illegal in function {}", getName());
std::lock_guard lock(cache.mutex);
if (cache.initialized)
return;
const auto & to = array_to->getValue<Array>();
if (size != to.size())
throw Exception(
ErrorCodes::BAD_ARGUMENTS, "Second and third arguments of function {} must be arrays of same size", getName());
/// Whether the default value is set.
if (arguments.size() == 4)
{
const IColumn * default_col = arguments[3].column.get();
if (default_col && isColumnConst(*default_col))
{
auto default_column = result_type->createColumn();
if (!default_col->onlyNull())
{
Field f = convertFieldToType((*default_col)[0], *result_type);
default_column->insert(f);
}
else
default_column->insertDefault();
cache.default_column = std::move(default_column);
}
}
/// Note: Doesn't check the duplicates in the `from` array.
const IDataType & from_type = *arguments[0].type;
if (from[0].getType() != Field::Types::String)
{
cache.table_num_to_idx = std::make_unique<Cache::NumToIdx>();
auto & table = *cache.table_num_to_idx;
for (size_t i = 0; i < size; ++i)
{
Field key = convertFieldToType(from[i], from_type);
if (key.isNull())
continue;
/// Field may be of Float type, but for the purpose of bitwise equality we can treat them as UInt64
table[bitCastToUInt64(key)] = i;
}
}
else
{
cache.table_string_to_idx = std::make_unique<Cache::StringToIdx>();
auto & table = *cache.table_string_to_idx;
for (size_t i = 0; i < size; ++i)
{
const String & str_from = from[i].get<const String &>();
StringRef ref{cache.string_pool.insert(str_from.data(), str_from.size() + 1), str_from.size() + 1};
table[ref] = i;
}
}
auto to_columns = result_type->createColumn();
for (size_t i = 0; i < size; ++i)
{
Field to_value = convertFieldToType(to[i], *result_type);
to_columns->insert(to_value);
}
cache.to_columns = std::move(to_columns);
cache.initialized = true;
}
};
}
REGISTER_FUNCTION(Transform)
{
factory.registerFunction<FunctionTransform>();
}
}