ClickHouse/src/Interpreters/convertFieldToType.cpp

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#include <Interpreters/convertFieldToType.h>
#include <IO/ReadBufferFromString.h>
#include <IO/ReadHelpers.h>
#include <DataTypes/DataTypeArray.h>
#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypeMap.h>
#include <DataTypes/DataTypesNumber.h>
#include <DataTypes/DataTypesDecimal.h>
#include <DataTypes/DataTypeString.h>
#include <DataTypes/DataTypeFixedString.h>
#include <DataTypes/DataTypeDate.h>
#include <DataTypes/DataTypeDateTime.h>
#include <DataTypes/DataTypeDateTime64.h>
#include <DataTypes/DataTypeEnum.h>
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#include <DataTypes/DataTypeUUID.h>
#include <DataTypes/DataTypeLowCardinality.h>
#include <DataTypes/DataTypeNullable.h>
#include <Core/AccurateComparison.h>
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#include <Common/typeid_cast.h>
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#include <Common/NaNUtils.h>
#include <Common/FieldVisitors.h>
#include <common/DateLUT.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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namespace DB
{
namespace ErrorCodes
{
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extern const int ARGUMENT_OUT_OF_BOUND;
extern const int TYPE_MISMATCH;
}
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/** Checking for a `Field from` of `From` type falls to a range of values of type `To`.
* `From` and `To` - numeric types. They can be floating-point types.
* `From` is one of UInt64, Int64, Float64,
* whereas `To` can also be 8, 16, 32 bit.
*
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* If falls into a range, then `from` is converted to the `Field` closest to the `To` type.
* If not, return Field(Null).
*/
namespace
{
template <typename From, typename To>
static Field convertNumericTypeImpl(const Field & from)
{
To result;
if (!accurate::convertNumeric(from.get<From>(), result))
return {};
return result;
}
template <typename To>
static Field convertNumericType(const Field & from, const IDataType & type)
{
if (from.getType() == Field::Types::UInt64)
return convertNumericTypeImpl<UInt64, To>(from);
if (from.getType() == Field::Types::Int64)
return convertNumericTypeImpl<Int64, To>(from);
if (from.getType() == Field::Types::Float64)
return convertNumericTypeImpl<Float64, To>(from);
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if (from.getType() == Field::Types::UInt128)
return convertNumericTypeImpl<UInt128, To>(from);
if (from.getType() == Field::Types::Int128)
return convertNumericTypeImpl<Int128, To>(from);
if (from.getType() == Field::Types::UInt256)
return convertNumericTypeImpl<UInt256, To>(from);
if (from.getType() == Field::Types::Int256)
return convertNumericTypeImpl<Int256, To>(from);
throw Exception("Type mismatch in IN or VALUES section. Expected: " + type.getName() + ". Got: "
+ Field::Types::toString(from.getType()), ErrorCodes::TYPE_MISMATCH);
}
template <typename From, typename T>
static Field convertIntToDecimalType(const Field & from, const DataTypeDecimal<T> & type)
{
From value = from.get<From>();
if (!type.canStoreWhole(value))
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throw Exception("Number is too big to place in " + type.getName(), ErrorCodes::ARGUMENT_OUT_OF_BOUND);
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T scaled_value = type.getScaleMultiplier() * static_cast<T>(value);
return DecimalField<T>(scaled_value, type.getScale());
}
template <typename T>
static Field convertStringToDecimalType(const Field & from, const DataTypeDecimal<T> & type)
{
const String & str_value = from.get<String>();
T value = type.parseFromString(str_value);
return DecimalField<T>(value, type.getScale());
}
template <typename From, typename T>
static Field convertDecimalToDecimalType(const Field & from, const DataTypeDecimal<T> & type)
{
auto field = from.get<DecimalField<From>>();
T value = convertDecimals<DataTypeDecimal<From>, DataTypeDecimal<T>>(field.getValue(), field.getScale(), type.getScale());
return DecimalField<T>(value, type.getScale());
}
template <typename To>
static Field convertDecimalType(const Field & from, const To & type)
{
if (from.getType() == Field::Types::UInt64)
return convertIntToDecimalType<UInt64>(from, type);
if (from.getType() == Field::Types::Int64)
return convertIntToDecimalType<Int64>(from, type);
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if (from.getType() == Field::Types::UInt128)
return convertIntToDecimalType<UInt128>(from, type);
if (from.getType() == Field::Types::Int128)
return convertIntToDecimalType<Int128>(from, type);
if (from.getType() == Field::Types::UInt256)
return convertIntToDecimalType<UInt256>(from, type);
if (from.getType() == Field::Types::Int256)
return convertIntToDecimalType<Int256>(from, type);
if (from.getType() == Field::Types::String)
return convertStringToDecimalType(from, type);
if (from.getType() == Field::Types::Decimal32)
return convertDecimalToDecimalType<Decimal32>(from, type);
if (from.getType() == Field::Types::Decimal64)
return convertDecimalToDecimalType<Decimal64>(from, type);
if (from.getType() == Field::Types::Decimal128)
return convertDecimalToDecimalType<Decimal128>(from, type);
throw Exception("Type mismatch in IN or VALUES section. Expected: " + type.getName() + ". Got: "
+ Field::Types::toString(from.getType()), ErrorCodes::TYPE_MISMATCH);
}
Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const IDataType * from_type_hint)
{
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if (from_type_hint && from_type_hint->equals(type))
{
return src;
}
WhichDataType which_type(type);
WhichDataType which_from_type;
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if (from_type_hint)
{
which_from_type = WhichDataType(*from_type_hint);
}
/// Conversion between Date and DateTime and vice versa.
if (which_type.isDate() && which_from_type.isDateTime())
{
Extended range of DateTime64 to years 1925 - 2238 The Year 1925 is a starting point because most of the timezones switched to saner (mostly 15-minutes based) offsets somewhere during 1924 or before. And that significantly simplifies implementation. 2238 is to simplify arithmetics for sanitizing LUT index access; there are less than 0x1ffff days from 1925. * Extended DateLUTImpl internal LUT to 0x1ffff items, some of which represent negative (pre-1970) time values. As a collateral benefit, Date now correctly supports dates up to 2149 (instead of 2106). * Added a new strong typedef ExtendedDayNum, which represents dates pre-1970 and post 2149. * Functions that used to return DayNum now return ExtendedDayNum. * Refactored DateLUTImpl to untie DayNum from the dual role of being a value and an index (due to negative time). Index is now a different type LUTIndex with explicit conversion functions from DatNum, time_t, and ExtendedDayNum. * Updated DateLUTImpl to properly support values close to epoch start (1970-01-01 00:00), including negative ones. * Reduced resolution of DateLUTImpl::Values::time_at_offset_change to multiple of 15-minutes to allow storing 64-bits of time_t in DateLUTImpl::Value while keeping same size. * Minor performance updates to DateLUTImpl when building month LUT by skipping non-start-of-month days. * Fixed extractTimeZoneFromFunctionArguments to work correctly with DateTime64. * New unit-tests and stateless integration tests for both DateTime and DateTime64.
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return static_cast<UInt16>(static_cast<const DataTypeDateTime &>(*from_type_hint).getTimeZone().toDayNum(src.get<UInt64>()).toUnderType());
}
else if (which_type.isDateTime() && which_from_type.isDate())
{
return static_cast<const DataTypeDateTime &>(type).getTimeZone().fromDayNum(DayNum(src.get<UInt64>()));
}
else if (type.isValueRepresentedByNumber() && src.getType() != Field::Types::String)
{
if (which_type.isUInt8()) return convertNumericType<UInt8>(src, type);
if (which_type.isUInt16()) return convertNumericType<UInt16>(src, type);
if (which_type.isUInt32()) return convertNumericType<UInt32>(src, type);
if (which_type.isUInt64()) return convertNumericType<UInt64>(src, type);
if (which_type.isUInt128()) return convertNumericType<UInt128>(src, type);
if (which_type.isUInt256()) return convertNumericType<UInt256>(src, type);
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if (which_type.isInt8()) return convertNumericType<Int8>(src, type);
if (which_type.isInt16()) return convertNumericType<Int16>(src, type);
if (which_type.isInt32()) return convertNumericType<Int32>(src, type);
if (which_type.isInt64()) return convertNumericType<Int64>(src, type);
if (which_type.isInt128()) return convertNumericType<Int128>(src, type);
if (which_type.isInt256()) return convertNumericType<Int256>(src, type);
if (which_type.isFloat32()) return convertNumericType<Float32>(src, type);
if (which_type.isFloat64()) return convertNumericType<Float64>(src, type);
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if (const auto * ptype = typeid_cast<const DataTypeDecimal<Decimal32> *>(&type)) return convertDecimalType(src, *ptype);
if (const auto * ptype = typeid_cast<const DataTypeDecimal<Decimal64> *>(&type)) return convertDecimalType(src, *ptype);
if (const auto * ptype = typeid_cast<const DataTypeDecimal<Decimal128> *>(&type)) return convertDecimalType(src, *ptype);
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if (which_type.isEnum() && (src.getType() == Field::Types::UInt64 || src.getType() == Field::Types::Int64))
{
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/// Convert UInt64 or Int64 to Enum's value
return dynamic_cast<const IDataTypeEnum &>(type).castToValue(src);
}
if ((which_type.isDate() || which_type.isDateTime()) && src.getType() == Field::Types::UInt64)
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{
/// We don't need any conversion UInt64 is under type of Date and DateTime
return src;
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}
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if (which_type.isDateTime64() && src.getType() == Field::Types::Decimal64)
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{
/// Already in needed type.
return src;
}
if (which_type.isDateTime64()
&& (which_from_type.isNativeInt() || which_from_type.isNativeUInt() || which_from_type.isDate() || which_from_type.isDateTime() || which_from_type.isDateTime64()))
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{
const auto scale = static_cast<const DataTypeDateTime64 &>(type).getScale();
const auto decimal_value = DecimalUtils::decimalFromComponents<DateTime64>(src.reinterpret<Int64>(), 0, scale);
return Field(DecimalField<DateTime64>(decimal_value, scale));
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}
}
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else if (which_type.isUUID() && src.getType() == Field::Types::UUID)
{
/// Already in needed type.
return src;
}
else if (which_type.isStringOrFixedString())
{
if (src.getType() == Field::Types::String)
{
if (which_type.isFixedString())
{
size_t n = assert_cast<const DataTypeFixedString &>(type).getN();
const auto & src_str = src.get<String>();
if (src_str.size() < n)
{
String src_str_extended = src_str;
src_str_extended.resize(n);
return src_str_extended;
}
}
return src;
}
return applyVisitor(FieldVisitorToString(), src);
}
else if (const DataTypeArray * type_array = typeid_cast<const DataTypeArray *>(&type))
{
if (src.getType() == Field::Types::Array)
{
const Array & src_arr = src.get<Array>();
size_t src_arr_size = src_arr.size();
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const auto & element_type = *(type_array->getNestedType());
bool have_unconvertible_element = false;
Array res(src_arr_size);
for (size_t i = 0; i < src_arr_size; ++i)
{
res[i] = convertFieldToType(src_arr[i], element_type);
if (res[i].isNull() && !element_type.isNullable())
{
// See the comment for Tuples below.
have_unconvertible_element = true;
}
}
return have_unconvertible_element ? Field(Null()) : Field(res);
}
}
else if (const DataTypeTuple * type_tuple = typeid_cast<const DataTypeTuple *>(&type))
{
if (src.getType() == Field::Types::Tuple)
{
const auto & src_tuple = src.get<Tuple>();
size_t src_tuple_size = src_tuple.size();
size_t dst_tuple_size = type_tuple->getElements().size();
if (dst_tuple_size != src_tuple_size)
throw Exception("Bad size of tuple in IN or VALUES section. Expected size: "
+ toString(dst_tuple_size) + ", actual size: " + toString(src_tuple_size), ErrorCodes::TYPE_MISMATCH);
Tuple res(dst_tuple_size);
bool have_unconvertible_element = false;
for (size_t i = 0; i < dst_tuple_size; ++i)
{
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const auto & element_type = *(type_tuple->getElements()[i]);
res[i] = convertFieldToType(src_tuple[i], element_type);
if (!res[i].isNull() || element_type.isNullable())
continue;
/*
* Either the source element was Null, or the conversion did not
* succeed, because the source and the requested types of the
* element are compatible, but the value is not convertible
* (e.g. trying to convert -1 from Int8 to UInt8). In these
* cases, consider the whole tuple also compatible but not
* convertible. According to the specification of this function,
* we must return Null in this case.
*
* The following elements might be not even compatible, so it
* makes sense to check them to detect user errors. Remember
* that there is an unconvertible element, and try to process
* the remaining ones. The convertFieldToType for each element
* will throw if it detects incompatibility.
*/
have_unconvertible_element = true;
}
return have_unconvertible_element ? Field(Null()) : Field(res);
}
}
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else if (const DataTypeMap * type_map = typeid_cast<const DataTypeMap *>(&type))
{
if (src.getType() == Field::Types::Map)
{
const auto & key_type = *type_map->getKeyType();
const auto & value_type = *type_map->getValueType();
const auto & map = src.get<Map>();
size_t map_size = map.size();
Map res(map_size);
bool have_unconvertible_element = false;
for (size_t i = 0; i < map_size; ++i)
{
const auto & map_entry = map[i].get<Tuple>();
const auto & key = map_entry[0];
const auto & value = map_entry[1];
Tuple updated_entry(2);
updated_entry[0] = convertFieldToType(key, key_type);
if (updated_entry[0].isNull() && !key_type.isNullable())
have_unconvertible_element = true;
updated_entry[1] = convertFieldToType(value, value_type);
if (updated_entry[1].isNull() && !value_type.isNullable())
have_unconvertible_element = true;
res[i] = updated_entry;
}
return have_unconvertible_element ? Field(Null()) : Field(res);
}
}
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else if (const DataTypeAggregateFunction * agg_func_type = typeid_cast<const DataTypeAggregateFunction *>(&type))
{
if (src.getType() != Field::Types::AggregateFunctionState)
throw Exception(String("Cannot convert ") + src.getTypeName() + " to " + agg_func_type->getName(),
ErrorCodes::TYPE_MISMATCH);
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const auto & name = src.get<AggregateFunctionStateData>().name;
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if (agg_func_type->getName() != name)
throw Exception("Cannot convert " + name + " to " + agg_func_type->getName(), ErrorCodes::TYPE_MISMATCH);
return src;
}
/// Conversion from string by parsing.
if (src.getType() == Field::Types::String)
{
/// Promote data type to avoid overflows. Note that overflows in the largest data type are still possible.
const IDataType * type_to_parse = &type;
DataTypePtr holder;
if (type.canBePromoted())
{
holder = type.promoteNumericType();
type_to_parse = holder.get();
}
const auto col = type_to_parse->createColumn();
ReadBufferFromString in_buffer(src.get<String>());
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try
{
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type_to_parse->getDefaultSerialization()->deserializeWholeText(*col, in_buffer, FormatSettings{});
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}
catch (Exception & e)
{
e.addMessage(fmt::format("while converting '{}' to {}", src.get<String>(), type.getName()));
throw;
}
if (!in_buffer.eof())
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throw Exception(ErrorCodes::TYPE_MISMATCH, "Cannot convert string {} to type {}", src.get<String>(), type.getName());
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Field parsed = (*col)[0];
return convertFieldToType(parsed, type, from_type_hint);
}
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throw Exception("Type mismatch in IN or VALUES section. Expected: " + type.getName() + ". Got: "
+ Field::Types::toString(src.getType()), ErrorCodes::TYPE_MISMATCH);
}
}
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Field convertFieldToType(const Field & from_value, const IDataType & to_type, const IDataType * from_type_hint)
{
if (from_value.isNull())
return from_value;
if (from_type_hint && from_type_hint->equals(to_type))
return from_value;
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if (const auto * low_cardinality_type = typeid_cast<const DataTypeLowCardinality *>(&to_type))
return convertFieldToType(from_value, *low_cardinality_type->getDictionaryType(), from_type_hint);
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else if (const auto * nullable_type = typeid_cast<const DataTypeNullable *>(&to_type))
{
const IDataType & nested_type = *nullable_type->getNestedType();
/// NULL remains NULL after any conversion.
if (WhichDataType(nested_type).isNothing())
return {};
if (from_type_hint && from_type_hint->equals(nested_type))
return from_value;
return convertFieldToTypeImpl(from_value, nested_type, from_type_hint);
}
else
return convertFieldToTypeImpl(from_value, to_type, from_type_hint);
}
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Field convertFieldToTypeOrThrow(const Field & from_value, const IDataType & to_type, const IDataType * from_type_hint)
{
bool is_null = from_value.isNull();
if (is_null && !to_type.isNullable())
throw Exception(ErrorCodes::TYPE_MISMATCH, "Cannot convert NULL to {}", to_type.getName());
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Field converted = convertFieldToType(from_value, to_type, from_type_hint);
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if (!is_null && converted.isNull())
throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND,
"Cannot convert value '{}'{}: it cannot be represented as {}",
toString(from_value),
from_type_hint ? " from " + from_type_hint->getName() : "",
to_type.getName());
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return converted;
}
}