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https://github.com/ClickHouse/ClickHouse.git
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4090 lines
189 KiB
C++
4090 lines
189 KiB
C++
#pragma once
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#include <cstddef>
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#include <type_traits>
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#include <IO/WriteBufferFromVector.h>
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#include <IO/ReadBufferFromMemory.h>
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#include <IO/Operators.h>
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#include <IO/parseDateTimeBestEffort.h>
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#include <DataTypes/DataTypeFactory.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypesDecimal.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypeFixedString.h>
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#include <DataTypes/DataTypeDate.h>
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#include <DataTypes/DataTypeDate32.h>
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#include <DataTypes/DataTypeDateTime.h>
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#include <DataTypes/DataTypeDateTime64.h>
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#include <DataTypes/DataTypeEnum.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypeMap.h>
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#include <DataTypes/DataTypeNullable.h>
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#include <DataTypes/DataTypeNothing.h>
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#include <DataTypes/DataTypeUUID.h>
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#include <DataTypes/DataTypeInterval.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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#include <DataTypes/DataTypeObject.h>
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#include <DataTypes/ObjectUtils.h>
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#include <DataTypes/DataTypeNested.h>
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#include <DataTypes/Serializations/SerializationDecimal.h>
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#include <Formats/FormatSettings.h>
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#include <Columns/ColumnString.h>
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#include <Columns/ColumnFixedString.h>
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#include <Columns/ColumnConst.h>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnNullable.h>
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#include <Columns/ColumnTuple.h>
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#include <Columns/ColumnMap.h>
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#include <Columns/ColumnObject.h>
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#include <Columns/ColumnsCommon.h>
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#include <Columns/ColumnStringHelpers.h>
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#include <Common/assert_cast.h>
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#include <Common/quoteString.h>
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#include <Common/Exception.h>
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#include <Core/AccurateComparison.h>
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#include <Functions/IFunctionAdaptors.h>
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#include <Functions/FunctionsMiscellaneous.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/DateTimeTransforms.h>
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#include <Functions/toFixedString.h>
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#include <Functions/TransformDateTime64.h>
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#include <Functions/FunctionsCodingIP.h>
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#include <DataTypes/DataTypeLowCardinality.h>
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#include <Columns/ColumnLowCardinality.h>
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#include <Interpreters/Context.h>
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#include <Common/HashTable/HashMap.h>
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#include <DataTypes/DataTypeIPv4andIPv6.h>
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#include <Core/Types.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ATTEMPT_TO_READ_AFTER_EOF;
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extern const int CANNOT_PARSE_NUMBER;
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extern const int CANNOT_READ_ARRAY_FROM_TEXT;
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extern const int CANNOT_PARSE_INPUT_ASSERTION_FAILED;
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extern const int CANNOT_PARSE_QUOTED_STRING;
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extern const int CANNOT_PARSE_ESCAPE_SEQUENCE;
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extern const int CANNOT_PARSE_DATE;
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extern const int CANNOT_PARSE_DATETIME;
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extern const int CANNOT_PARSE_TEXT;
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extern const int CANNOT_PARSE_UUID;
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extern const int CANNOT_PARSE_IPV4;
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extern const int CANNOT_PARSE_IPV6;
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extern const int TOO_FEW_ARGUMENTS_FOR_FUNCTION;
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extern const int LOGICAL_ERROR;
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extern const int TYPE_MISMATCH;
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extern const int CANNOT_CONVERT_TYPE;
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extern const int ILLEGAL_COLUMN;
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int NOT_IMPLEMENTED;
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extern const int CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN;
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}
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/** Type conversion functions.
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* toType - conversion in "natural way";
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*/
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inline UInt32 extractToDecimalScale(const ColumnWithTypeAndName & named_column)
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{
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const auto * arg_type = named_column.type.get();
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bool ok = checkAndGetDataType<DataTypeUInt64>(arg_type)
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|| checkAndGetDataType<DataTypeUInt32>(arg_type)
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|| checkAndGetDataType<DataTypeUInt16>(arg_type)
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|| checkAndGetDataType<DataTypeUInt8>(arg_type);
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if (!ok)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type of toDecimal() scale {}", named_column.type->getName());
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Field field;
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named_column.column->get(0, field);
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return static_cast<UInt32>(field.get<UInt32>());
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}
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/// Function toUnixTimestamp has exactly the same implementation as toDateTime of String type.
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struct NameToUnixTimestamp { static constexpr auto name = "toUnixTimestamp"; };
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struct AccurateConvertStrategyAdditions
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{
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UInt32 scale { 0 };
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};
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struct AccurateOrNullConvertStrategyAdditions
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{
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UInt32 scale { 0 };
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};
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struct ConvertDefaultBehaviorTag {};
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struct ConvertReturnNullOnErrorTag {};
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struct ConvertReturnZeroOnErrorTag {};
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/** Conversion of number types to each other, enums to numbers, dates and datetimes to numbers and back: done by straight assignment.
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* (Date is represented internally as number of days from some day; DateTime - as unix timestamp)
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*/
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template <typename FromDataType, typename ToDataType, typename Name, typename SpecialTag = ConvertDefaultBehaviorTag>
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struct ConvertImpl
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{
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using FromFieldType = typename FromDataType::FieldType;
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using ToFieldType = typename ToDataType::FieldType;
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template <typename Additions = void *>
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static ColumnPtr NO_SANITIZE_UNDEFINED execute(
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const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type [[maybe_unused]], size_t input_rows_count,
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Additions additions [[maybe_unused]] = Additions())
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{
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const ColumnWithTypeAndName & named_from = arguments[0];
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using ColVecFrom = typename FromDataType::ColumnType;
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using ColVecTo = typename ToDataType::ColumnType;
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if (std::is_same_v<Name, NameToUnixTimestamp>)
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{
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if (isDateOrDate32(named_from.type))
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throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal type {} of first argument of function {}",
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named_from.type->getName(), Name::name);
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}
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if constexpr ((IsDataTypeDecimal<FromDataType> || IsDataTypeDecimal<ToDataType>)
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&& !(std::is_same_v<DataTypeDateTime64, FromDataType> || std::is_same_v<DataTypeDateTime64, ToDataType>))
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{
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if constexpr (!IsDataTypeDecimalOrNumber<FromDataType> || !IsDataTypeDecimalOrNumber<ToDataType>)
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{
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throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
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named_from.column->getName(), Name::name);
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}
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}
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if (const ColVecFrom * col_from = checkAndGetColumn<ColVecFrom>(named_from.column.get()))
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{
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typename ColVecTo::MutablePtr col_to = nullptr;
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if constexpr (IsDataTypeDecimal<ToDataType>)
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{
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UInt32 scale;
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if constexpr (std::is_same_v<Additions, AccurateConvertStrategyAdditions>
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|| std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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{
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scale = additions.scale;
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}
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else
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{
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scale = additions;
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}
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col_to = ColVecTo::create(0, scale);
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}
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else
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col_to = ColVecTo::create();
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const auto & vec_from = col_from->getData();
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auto & vec_to = col_to->getData();
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vec_to.resize(input_rows_count);
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ColumnUInt8::MutablePtr col_null_map_to;
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ColumnUInt8::Container * vec_null_map_to [[maybe_unused]] = nullptr;
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if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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{
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col_null_map_to = ColumnUInt8::create(input_rows_count, false);
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vec_null_map_to = &col_null_map_to->getData();
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}
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bool result_is_bool = isBool(result_type);
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for (size_t i = 0; i < input_rows_count; ++i)
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{
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if constexpr (std::is_same_v<ToDataType, DataTypeUInt8>)
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{
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if (result_is_bool)
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{
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vec_to[i] = vec_from[i] != FromFieldType(0);
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continue;
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}
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}
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if constexpr (std::is_same_v<FromDataType, DataTypeUUID> != std::is_same_v<ToDataType, DataTypeUUID>)
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{
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throw Exception(ErrorCodes::NOT_IMPLEMENTED,
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"Conversion between numeric types and UUID is not supported. "
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"Probably the passed UUID is unquoted");
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}
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else if constexpr (
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(std::is_same_v<FromDataType, DataTypeIPv4> != std::is_same_v<ToDataType, DataTypeIPv4>)
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&& !(is_any_of<FromDataType, DataTypeUInt8, DataTypeUInt16, DataTypeUInt32, DataTypeUInt64> || is_any_of<ToDataType, DataTypeUInt32, DataTypeUInt64, DataTypeUInt128, DataTypeUInt256>)
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)
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{
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throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Conversion from {} to {} is not supported",
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TypeName<typename FromDataType::FieldType>, TypeName<typename ToDataType::FieldType>);
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}
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else if constexpr (std::is_same_v<FromDataType, DataTypeIPv6> != std::is_same_v<ToDataType, DataTypeIPv6>)
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{
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throw Exception(ErrorCodes::NOT_IMPLEMENTED,
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"Conversion between numeric types and IPv6 is not supported. "
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"Probably the passed IPv6 is unquoted");
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}
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else
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{
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if constexpr (IsDataTypeDecimal<FromDataType> || IsDataTypeDecimal<ToDataType>)
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{
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if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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{
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ToFieldType result;
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bool convert_result = false;
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if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeDecimal<ToDataType>)
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convert_result = tryConvertDecimals<FromDataType, ToDataType>(vec_from[i], col_from->getScale(), col_to->getScale(), result);
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else if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeNumber<ToDataType>)
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convert_result = tryConvertFromDecimal<FromDataType, ToDataType>(vec_from[i], col_from->getScale(), result);
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else if constexpr (IsDataTypeNumber<FromDataType> && IsDataTypeDecimal<ToDataType>)
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convert_result = tryConvertToDecimal<FromDataType, ToDataType>(vec_from[i], col_to->getScale(), result);
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if (convert_result)
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vec_to[i] = result;
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else
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{
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vec_to[i] = static_cast<ToFieldType>(0);
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(*vec_null_map_to)[i] = true;
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}
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}
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else
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{
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if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeDecimal<ToDataType>)
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vec_to[i] = convertDecimals<FromDataType, ToDataType>(vec_from[i], col_from->getScale(), col_to->getScale());
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else if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeNumber<ToDataType>)
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vec_to[i] = convertFromDecimal<FromDataType, ToDataType>(vec_from[i], col_from->getScale());
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else if constexpr (IsDataTypeNumber<FromDataType> && IsDataTypeDecimal<ToDataType>)
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vec_to[i] = convertToDecimal<FromDataType, ToDataType>(vec_from[i], col_to->getScale());
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else
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throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Unsupported data type in conversion function");
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}
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}
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else
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{
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/// If From Data is Nan or Inf and we convert to integer type, throw exception
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if constexpr (std::is_floating_point_v<FromFieldType> && !std::is_floating_point_v<ToFieldType>)
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{
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if (!isFinite(vec_from[i]))
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{
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if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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{
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vec_to[i] = 0;
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(*vec_null_map_to)[i] = true;
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continue;
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}
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else
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throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Unexpected inf or nan to integer conversion");
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}
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}
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if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>
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|| std::is_same_v<Additions, AccurateConvertStrategyAdditions>)
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{
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bool convert_result = accurate::convertNumeric(vec_from[i], vec_to[i]);
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if (!convert_result)
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{
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if (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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{
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vec_to[i] = 0;
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(*vec_null_map_to)[i] = true;
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}
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else
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{
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throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Value in column {} cannot be safely converted into type {}",
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named_from.column->getName(), result_type->getName());
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}
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}
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}
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else
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{
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if constexpr (std::is_same_v<ToDataType, DataTypeIPv4> && std::is_same_v<FromDataType, DataTypeUInt64>)
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vec_to[i] = static_cast<ToFieldType>(static_cast<IPv4::UnderlyingType>(vec_from[i]));
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else
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vec_to[i] = static_cast<ToFieldType>(vec_from[i]);
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}
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}
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}
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}
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if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
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return ColumnNullable::create(std::move(col_to), std::move(col_null_map_to));
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else
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return col_to;
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}
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else
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throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
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named_from.column->getName(), Name::name);
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}
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};
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/** Conversion of DateTime to Date: throw off time component.
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*/
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template <typename Name> struct ConvertImpl<DataTypeDateTime, DataTypeDate, Name, ConvertDefaultBehaviorTag>
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: DateTimeTransformImpl<DataTypeDateTime, DataTypeDate, ToDateImpl> {};
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/** Conversion of DateTime to Date32: throw off time component.
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*/
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template <typename Name> struct ConvertImpl<DataTypeDateTime, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
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: DateTimeTransformImpl<DataTypeDateTime, DataTypeDate32, ToDate32Impl> {};
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/** Conversion of Date to DateTime: adding 00:00:00 time component.
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*/
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struct ToDateTimeImpl
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{
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static constexpr auto name = "toDateTime";
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static UInt32 execute(UInt16 d, const DateLUTImpl & time_zone)
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{
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return static_cast<UInt32>(time_zone.fromDayNum(DayNum(d)));
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}
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static Int64 execute(Int32 d, const DateLUTImpl & time_zone)
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{
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return time_zone.fromDayNum(ExtendedDayNum(d));
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}
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static UInt32 execute(UInt32 dt, const DateLUTImpl & /*time_zone*/)
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{
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return dt;
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}
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// TODO: return UInt32 ???
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static Int64 execute(Int64 dt64, const DateLUTImpl & /*time_zone*/)
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{
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return dt64;
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}
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};
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template <typename Name> struct ConvertImpl<DataTypeDate, DataTypeDateTime, Name, ConvertDefaultBehaviorTag>
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: DateTimeTransformImpl<DataTypeDate, DataTypeDateTime, ToDateTimeImpl> {};
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template <typename Name> struct ConvertImpl<DataTypeDate32, DataTypeDateTime, Name, ConvertDefaultBehaviorTag>
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: DateTimeTransformImpl<DataTypeDate32, DataTypeDateTime, ToDateTimeImpl> {};
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/// Implementation of toDate function.
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template <typename FromType, typename ToType>
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struct ToDateTransform32Or64
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{
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static constexpr auto name = "toDate";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl & time_zone)
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{
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// since converting to Date, no need in values outside of default LUT range.
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return (from <= DATE_LUT_MAX_DAY_NUM)
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? from
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: time_zone.toDayNum(std::min(time_t(from), time_t(0xFFFFFFFF)));
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}
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};
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template <typename FromType, typename ToType>
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struct ToDateTransform32Or64Signed
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{
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static constexpr auto name = "toDate";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl & time_zone)
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{
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// TODO: decide narrow or extended range based on FromType
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/// The function should be monotonic (better for query optimizations), so we saturate instead of overflow.
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if (from < 0)
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return 0;
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return (from <= DATE_LUT_MAX_DAY_NUM)
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? static_cast<ToType>(from)
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: time_zone.toDayNum(std::min(time_t(from), time_t(0xFFFFFFFF)));
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}
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};
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template <typename FromType, typename ToType>
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struct ToDateTransform8Or16Signed
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{
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static constexpr auto name = "toDate";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl &)
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{
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if (from < 0)
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return 0;
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return from;
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}
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};
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template <typename Name> struct ConvertImpl<DataTypeDateTime64, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
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: DateTimeTransformImpl<DataTypeDateTime64, DataTypeDate32, TransformDateTime64<ToDate32Impl>> {};
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/// Implementation of toDate32 function.
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template <typename FromType, typename ToType>
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struct ToDate32Transform32Or64
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{
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static constexpr auto name = "toDate32";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl & time_zone)
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{
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return (from < DATE_LUT_MAX_EXTEND_DAY_NUM)
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? static_cast<ToType>(from)
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: time_zone.toDayNum(std::min(time_t(from), time_t(0xFFFFFFFF)));
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}
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};
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template <typename FromType, typename ToType>
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struct ToDate32Transform32Or64Signed
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{
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static constexpr auto name = "toDate32";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl & time_zone)
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{
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static const Int32 daynum_min_offset = -static_cast<Int32>(DateLUT::instance().getDayNumOffsetEpoch());
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if (from < daynum_min_offset)
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return daynum_min_offset;
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return (from < DATE_LUT_MAX_EXTEND_DAY_NUM)
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? static_cast<ToType>(from)
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: time_zone.toDayNum(std::min(time_t(Int64(from)), time_t(0xFFFFFFFF)));
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}
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};
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template <typename FromType, typename ToType>
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struct ToDate32Transform8Or16Signed
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{
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static constexpr auto name = "toDate32";
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static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl &)
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{
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return from;
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}
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};
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/** Special case of converting Int8, Int16, (U)Int32 or (U)Int64 (and also, for convenience,
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* Float32, Float64) to Date. If the number is negative, saturate it to unix epoch time. If the
|
|
* number is less than 65536, then it is treated as DayNum, and if it's greater or equals to 65536,
|
|
* then treated as unix timestamp. If the number exceeds UInt32, saturate to MAX_UINT32 then as DayNum.
|
|
* It's a bit illogical, as we actually have two functions in one.
|
|
* But allows to support frequent case,
|
|
* when user write toDate(UInt32), expecting conversion of unix timestamp to Date.
|
|
* (otherwise such usage would be frequent mistake).
|
|
*/
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt32, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeUInt32, DataTypeDate, ToDateTransform32Or64<UInt32, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeUInt64, DataTypeDate, ToDateTransform32Or64<UInt64, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt8, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt8, DataTypeDate, ToDateTransform8Or16Signed<Int8, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt16, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt16, DataTypeDate, ToDateTransform8Or16Signed<Int16, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt32, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt32, DataTypeDate, ToDateTransform32Or64Signed<Int32, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt64, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt64, DataTypeDate, ToDateTransform32Or64Signed<Int64, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat32, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeFloat32, DataTypeDate, ToDateTransform32Or64Signed<Float32, UInt16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat64, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeFloat64, DataTypeDate, ToDateTransform32Or64Signed<Float64, UInt16>> {};
|
|
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt32, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeUInt32, DataTypeDate32, ToDate32Transform32Or64<UInt32, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeUInt64, DataTypeDate32, ToDate32Transform32Or64<UInt64, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt8, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt8, DataTypeDate32, ToDate32Transform8Or16Signed<Int8, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt16, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt16, DataTypeDate32, ToDate32Transform8Or16Signed<Int16, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt32, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt32, DataTypeDate32, ToDate32Transform32Or64Signed<Int32, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt64, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeInt64, DataTypeDate32, ToDate32Transform32Or64Signed<Int64, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat32, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeFloat32, DataTypeDate32, ToDate32Transform32Or64Signed<Float32, Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat64, DataTypeDate32, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeFloat64, DataTypeDate32, ToDate32Transform32Or64Signed<Float64, Int32>> {};
|
|
|
|
|
|
template <typename FromType, typename ToType>
|
|
struct ToDateTimeTransform64
|
|
{
|
|
static constexpr auto name = "toDateTime";
|
|
|
|
static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl &)
|
|
{
|
|
return static_cast<ToType>(std::min(time_t(from), time_t(0xFFFFFFFF)));
|
|
}
|
|
};
|
|
|
|
template <typename FromType, typename ToType>
|
|
struct ToDateTimeTransformSigned
|
|
{
|
|
static constexpr auto name = "toDateTime";
|
|
|
|
static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl &)
|
|
{
|
|
if (from < 0)
|
|
return 0;
|
|
return from;
|
|
}
|
|
};
|
|
|
|
template <typename FromType, typename ToType>
|
|
struct ToDateTimeTransform64Signed
|
|
{
|
|
static constexpr auto name = "toDateTime";
|
|
|
|
static NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl &)
|
|
{
|
|
if (from < 0)
|
|
return 0;
|
|
return static_cast<ToType>(std::min(time_t(from), time_t(0xFFFFFFFF)));
|
|
}
|
|
};
|
|
|
|
/** Special case of converting Int8, Int16, Int32 or (U)Int64 (and also, for convenience, Float32,
|
|
* Float64) to DateTime. If the number is negative, saturate it to unix epoch time. If the number
|
|
* exceeds UInt32, saturate to MAX_UINT32.
|
|
*/
|
|
template <typename Name> struct ConvertImpl<DataTypeInt8, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeInt8, DataTypeDateTime, ToDateTimeTransformSigned<Int8, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt16, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeInt16, DataTypeDateTime, ToDateTimeTransformSigned<Int16, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt32, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeInt32, DataTypeDateTime, ToDateTimeTransformSigned<Int32, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt64, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeInt64, DataTypeDateTime, ToDateTimeTransform64Signed<Int64, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeUInt64, DataTypeDateTime, ToDateTimeTransform64<UInt64, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat32, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeFloat32, DataTypeDateTime, ToDateTimeTransform64Signed<Float32, UInt32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat64, DataTypeDateTime, Name>
|
|
: DateTimeTransformImpl<DataTypeFloat64, DataTypeDateTime, ToDateTimeTransform64Signed<Float64, UInt32>> {};
|
|
|
|
constexpr time_t LUT_MIN_TIME = -2208988800l; // 1900-01-01 UTC
|
|
|
|
constexpr time_t LUT_MAX_TIME = 10413791999l; // 2299-12-31 UTC
|
|
|
|
/** Conversion of numeric to DateTime64
|
|
*/
|
|
|
|
template <typename FromType>
|
|
struct ToDateTime64TransformUnsigned
|
|
{
|
|
static constexpr auto name = "toDateTime64";
|
|
|
|
const DateTime64::NativeType scale_multiplier = 1;
|
|
|
|
ToDateTime64TransformUnsigned(UInt32 scale = 0) /// NOLINT
|
|
: scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale))
|
|
{}
|
|
|
|
NO_SANITIZE_UNDEFINED DateTime64::NativeType execute(FromType from, const DateLUTImpl &) const
|
|
{
|
|
from = std::min<time_t>(from, LUT_MAX_TIME);
|
|
return DecimalUtils::decimalFromComponentsWithMultiplier<DateTime64>(from, 0, scale_multiplier);
|
|
}
|
|
};
|
|
template <typename FromType>
|
|
struct ToDateTime64TransformSigned
|
|
{
|
|
static constexpr auto name = "toDateTime64";
|
|
|
|
const DateTime64::NativeType scale_multiplier = 1;
|
|
|
|
ToDateTime64TransformSigned(UInt32 scale = 0) /// NOLINT
|
|
: scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale))
|
|
{}
|
|
|
|
NO_SANITIZE_UNDEFINED DateTime64::NativeType execute(FromType from, const DateLUTImpl &) const
|
|
{
|
|
from = static_cast<FromType>(std::max<time_t>(from, LUT_MIN_TIME));
|
|
from = static_cast<FromType>(std::min<time_t>(from, LUT_MAX_TIME));
|
|
return DecimalUtils::decimalFromComponentsWithMultiplier<DateTime64>(from, 0, scale_multiplier);
|
|
}
|
|
};
|
|
template <typename FromDataType, typename FromType>
|
|
struct ToDateTime64TransformFloat
|
|
{
|
|
static constexpr auto name = "toDateTime64";
|
|
|
|
const UInt32 scale = 1;
|
|
|
|
ToDateTime64TransformFloat(UInt32 scale_ = 0) /// NOLINT
|
|
: scale(scale_)
|
|
{}
|
|
|
|
NO_SANITIZE_UNDEFINED DateTime64::NativeType execute(FromType from, const DateLUTImpl &) const
|
|
{
|
|
from = std::max(from, static_cast<FromType>(LUT_MIN_TIME));
|
|
from = std::min(from, static_cast<FromType>(LUT_MAX_TIME));
|
|
return convertToDecimal<FromDataType, DataTypeDateTime64>(from, scale);
|
|
}
|
|
};
|
|
|
|
template <typename Name> struct ConvertImpl<DataTypeInt8, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeInt8, DataTypeDateTime64, ToDateTime64TransformSigned<Int8>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt16, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeInt16, DataTypeDateTime64, ToDateTime64TransformSigned<Int16>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt32, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeInt32, DataTypeDateTime64, ToDateTime64TransformSigned<Int32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeInt64, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeInt64, DataTypeDateTime64, ToDateTime64TransformSigned<Int64>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeUInt64, DataTypeDateTime64, ToDateTime64TransformUnsigned<UInt64>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat32, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeFloat32, DataTypeDateTime64, ToDateTime64TransformFloat<DataTypeFloat32, Float32>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeFloat64, DataTypeDateTime64, Name>
|
|
: DateTimeTransformImpl<DataTypeFloat64, DataTypeDateTime64, ToDateTime64TransformFloat<DataTypeFloat64, Float64>> {};
|
|
|
|
|
|
/** Conversion of DateTime64 to Date or DateTime: discards fractional part.
|
|
*/
|
|
template <typename Transform>
|
|
struct FromDateTime64Transform
|
|
{
|
|
static constexpr auto name = Transform::name;
|
|
|
|
const DateTime64::NativeType scale_multiplier = 1;
|
|
|
|
FromDateTime64Transform(UInt32 scale) /// NOLINT
|
|
: scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale))
|
|
{}
|
|
|
|
auto execute(DateTime64::NativeType dt, const DateLUTImpl & time_zone) const
|
|
{
|
|
const auto c = DecimalUtils::splitWithScaleMultiplier(DateTime64(dt), scale_multiplier);
|
|
return Transform::execute(static_cast<UInt32>(c.whole), time_zone);
|
|
}
|
|
};
|
|
|
|
/** Conversion of DateTime64 to Date or DateTime: discards fractional part.
|
|
*/
|
|
template <typename Name> struct ConvertImpl<DataTypeDateTime64, DataTypeDate, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeDateTime64, DataTypeDate, TransformDateTime64<ToDateImpl>> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeDateTime64, DataTypeDateTime, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeDateTime64, DataTypeDateTime, TransformDateTime64<ToDateTimeImpl>> {};
|
|
|
|
struct ToDateTime64Transform
|
|
{
|
|
static constexpr auto name = "toDateTime64";
|
|
|
|
const DateTime64::NativeType scale_multiplier = 1;
|
|
|
|
ToDateTime64Transform(UInt32 scale = 0) /// NOLINT
|
|
: scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale))
|
|
{}
|
|
|
|
DateTime64::NativeType execute(UInt16 d, const DateLUTImpl & time_zone) const
|
|
{
|
|
const auto dt = ToDateTimeImpl::execute(d, time_zone);
|
|
return execute(dt, time_zone);
|
|
}
|
|
|
|
DateTime64::NativeType execute(Int32 d, const DateLUTImpl & time_zone) const
|
|
{
|
|
const auto dt = ToDateTimeImpl::execute(d, time_zone);
|
|
return DecimalUtils::decimalFromComponentsWithMultiplier<DateTime64>(dt, 0, scale_multiplier);
|
|
}
|
|
|
|
DateTime64::NativeType execute(UInt32 dt, const DateLUTImpl & /*time_zone*/) const
|
|
{
|
|
return DecimalUtils::decimalFromComponentsWithMultiplier<DateTime64>(dt, 0, scale_multiplier);
|
|
}
|
|
};
|
|
|
|
/** Conversion of Date or DateTime to DateTime64: add zero sub-second part.
|
|
*/
|
|
template <typename Name> struct ConvertImpl<DataTypeDate, DataTypeDateTime64, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeDate, DataTypeDateTime64, ToDateTime64Transform> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeDate32, DataTypeDateTime64, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeDate32, DataTypeDateTime64, ToDateTime64Transform> {};
|
|
template <typename Name> struct ConvertImpl<DataTypeDateTime, DataTypeDateTime64, Name, ConvertDefaultBehaviorTag>
|
|
: DateTimeTransformImpl<DataTypeDateTime, DataTypeDateTime64, ToDateTime64Transform> {};
|
|
|
|
|
|
/** Transformation of numbers, dates, datetimes to strings: through formatting.
|
|
*/
|
|
template <typename DataType>
|
|
struct FormatImpl
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const typename DataType::FieldType x, WriteBuffer & wb, const DataType *, const DateLUTImpl *)
|
|
{
|
|
writeText(x, wb);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
template <>
|
|
struct FormatImpl<DataTypeDate>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const DataTypeDate::FieldType x, WriteBuffer & wb, const DataTypeDate *, const DateLUTImpl *)
|
|
{
|
|
writeDateText(DayNum(x), wb);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
template <>
|
|
struct FormatImpl<DataTypeDate32>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const DataTypeDate32::FieldType x, WriteBuffer & wb, const DataTypeDate32 *, const DateLUTImpl *)
|
|
{
|
|
writeDateText(ExtendedDayNum(x), wb);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
template <>
|
|
struct FormatImpl<DataTypeDateTime>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const DataTypeDateTime::FieldType x, WriteBuffer & wb, const DataTypeDateTime *, const DateLUTImpl * time_zone)
|
|
{
|
|
writeDateTimeText(x, wb, *time_zone);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
template <>
|
|
struct FormatImpl<DataTypeDateTime64>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const DataTypeDateTime64::FieldType x, WriteBuffer & wb, const DataTypeDateTime64 * type, const DateLUTImpl * time_zone)
|
|
{
|
|
writeDateTimeText(DateTime64(x), type->getScale(), wb, *time_zone);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
|
|
template <typename FieldType>
|
|
struct FormatImpl<DataTypeEnum<FieldType>>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const FieldType x, WriteBuffer & wb, const DataTypeEnum<FieldType> * type, const DateLUTImpl *)
|
|
{
|
|
static constexpr bool throw_exception = std::is_same_v<ReturnType, void>;
|
|
|
|
if constexpr (throw_exception)
|
|
{
|
|
writeString(type->getNameForValue(x), wb);
|
|
}
|
|
else
|
|
{
|
|
StringRef res;
|
|
bool is_ok = type->getNameForValue(x, res);
|
|
if (is_ok)
|
|
writeString(res, wb);
|
|
return ReturnType(is_ok);
|
|
}
|
|
}
|
|
};
|
|
|
|
template <typename FieldType>
|
|
struct FormatImpl<DataTypeDecimal<FieldType>>
|
|
{
|
|
template <typename ReturnType = void>
|
|
static ReturnType execute(const FieldType x, WriteBuffer & wb, const DataTypeDecimal<FieldType> * type, const DateLUTImpl *)
|
|
{
|
|
writeText(x, type->getScale(), wb, false);
|
|
return ReturnType(true);
|
|
}
|
|
};
|
|
|
|
|
|
/// DataTypeEnum<T> to DataType<T> free conversion
|
|
template <typename FieldType, typename Name>
|
|
struct ConvertImpl<DataTypeEnum<FieldType>, DataTypeNumber<FieldType>, Name, ConvertDefaultBehaviorTag>
|
|
{
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/)
|
|
{
|
|
return arguments[0].column;
|
|
}
|
|
};
|
|
|
|
static ColumnUInt8::MutablePtr copyNullMap(ColumnPtr col)
|
|
{
|
|
ColumnUInt8::MutablePtr null_map = nullptr;
|
|
if (const auto * col_null = checkAndGetColumn<ColumnNullable>(col.get()))
|
|
{
|
|
null_map = ColumnUInt8::create();
|
|
null_map->insertRangeFrom(col_null->getNullMapColumn(), 0, col_null->size());
|
|
}
|
|
return null_map;
|
|
}
|
|
|
|
template <typename FromDataType, typename Name>
|
|
requires (!std::is_same_v<FromDataType, DataTypeString>)
|
|
struct ConvertImpl<FromDataType, DataTypeString, Name, ConvertDefaultBehaviorTag>
|
|
{
|
|
using FromFieldType = typename FromDataType::FieldType;
|
|
using ColVecType = ColumnVectorOrDecimal<FromFieldType>;
|
|
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/)
|
|
{
|
|
ColumnUInt8::MutablePtr null_map = copyNullMap(arguments[0].column);
|
|
|
|
const auto & col_with_type_and_name = columnGetNested(arguments[0]);
|
|
const auto & type = static_cast<const FromDataType &>(*col_with_type_and_name.type);
|
|
|
|
const DateLUTImpl * time_zone = nullptr;
|
|
/// For argument of DateTime type, second argument with time zone could be specified.
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeDateTime> || std::is_same_v<FromDataType, DataTypeDateTime64>)
|
|
{
|
|
auto non_null_args = createBlockWithNestedColumns(arguments);
|
|
time_zone = &extractTimeZoneFromFunctionArguments(non_null_args, 1, 0);
|
|
}
|
|
|
|
if (const auto col_from = checkAndGetColumn<ColVecType>(col_with_type_and_name.column.get()))
|
|
{
|
|
auto col_to = ColumnString::create();
|
|
|
|
const typename ColVecType::Container & vec_from = col_from->getData();
|
|
ColumnString::Chars & data_to = col_to->getChars();
|
|
ColumnString::Offsets & offsets_to = col_to->getOffsets();
|
|
size_t size = vec_from.size();
|
|
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeDate>)
|
|
data_to.resize(size * (strlen("YYYY-MM-DD") + 1));
|
|
else if constexpr (std::is_same_v<FromDataType, DataTypeDate32>)
|
|
data_to.resize(size * (strlen("YYYY-MM-DD") + 1));
|
|
else if constexpr (std::is_same_v<FromDataType, DataTypeDateTime>)
|
|
data_to.resize(size * (strlen("YYYY-MM-DD hh:mm:ss") + 1));
|
|
else if constexpr (std::is_same_v<FromDataType, DataTypeDateTime64>)
|
|
data_to.resize(size * (strlen("YYYY-MM-DD hh:mm:ss.") + col_from->getScale() + 1));
|
|
else
|
|
data_to.resize(size * 3); /// Arbitrary
|
|
|
|
offsets_to.resize(size);
|
|
|
|
WriteBufferFromVector<ColumnString::Chars> write_buffer(data_to);
|
|
|
|
if (null_map)
|
|
{
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
bool is_ok = FormatImpl<FromDataType>::template execute<bool>(vec_from[i], write_buffer, &type, time_zone);
|
|
null_map->getData()[i] |= !is_ok;
|
|
writeChar(0, write_buffer);
|
|
offsets_to[i] = write_buffer.count();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
FormatImpl<FromDataType>::template execute<void>(vec_from[i], write_buffer, &type, time_zone);
|
|
writeChar(0, write_buffer);
|
|
offsets_to[i] = write_buffer.count();
|
|
}
|
|
}
|
|
|
|
write_buffer.finalize();
|
|
|
|
if (null_map)
|
|
return ColumnNullable::create(std::move(col_to), std::move(null_map));
|
|
return col_to;
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
|
|
arguments[0].column->getName(), Name::name);
|
|
}
|
|
};
|
|
|
|
|
|
/// Generic conversion of any type to String or FixedString via serialization to text.
|
|
template <typename StringColumnType>
|
|
struct ConvertImplGenericToString
|
|
{
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t /*input_rows_count*/)
|
|
{
|
|
static_assert(std::is_same_v<StringColumnType, ColumnString> || std::is_same_v<StringColumnType, ColumnFixedString>,
|
|
"Can be used only to serialize to ColumnString or ColumnFixedString");
|
|
|
|
ColumnUInt8::MutablePtr null_map = copyNullMap(arguments[0].column);
|
|
|
|
const auto & col_with_type_and_name = columnGetNested(arguments[0]);
|
|
const IDataType & type = *col_with_type_and_name.type;
|
|
const IColumn & col_from = *col_with_type_and_name.column;
|
|
|
|
size_t size = col_from.size();
|
|
auto col_to = removeNullable(result_type)->createColumn();
|
|
|
|
{
|
|
ColumnStringHelpers::WriteHelper write_helper(
|
|
assert_cast<StringColumnType &>(*col_to),
|
|
size);
|
|
|
|
auto & write_buffer = write_helper.getWriteBuffer();
|
|
|
|
FormatSettings format_settings;
|
|
auto serialization = type.getDefaultSerialization();
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
serialization->serializeText(col_from, i, write_buffer, format_settings);
|
|
write_helper.rowWritten();
|
|
}
|
|
|
|
write_helper.finalize();
|
|
}
|
|
|
|
if (result_type->isNullable() && null_map)
|
|
return ColumnNullable::create(std::move(col_to), std::move(null_map));
|
|
return col_to;
|
|
}
|
|
};
|
|
|
|
/** Conversion of time_t to UInt16, Int32, UInt32
|
|
*/
|
|
template <typename DataType>
|
|
void convertFromTime(typename DataType::FieldType & x, time_t & time)
|
|
{
|
|
x = time;
|
|
}
|
|
|
|
template <>
|
|
inline void convertFromTime<DataTypeDate>(DataTypeDate::FieldType & x, time_t & time)
|
|
{
|
|
if (unlikely(time < 0))
|
|
x = 0;
|
|
else if (unlikely(time > 0xFFFF))
|
|
x = 0xFFFF;
|
|
else
|
|
x = time;
|
|
}
|
|
|
|
template <>
|
|
inline void convertFromTime<DataTypeDate32>(DataTypeDate32::FieldType & x, time_t & time)
|
|
{
|
|
x = static_cast<UInt32>(time);
|
|
}
|
|
|
|
template <>
|
|
inline void convertFromTime<DataTypeDateTime>(DataTypeDateTime::FieldType & x, time_t & time)
|
|
{
|
|
if (unlikely(time < 0))
|
|
x = 0;
|
|
else if (unlikely(time > 0xFFFFFFFF))
|
|
x = 0xFFFFFFFF;
|
|
else
|
|
x = static_cast<UInt32>(time);
|
|
}
|
|
|
|
/** Conversion of strings to numbers, dates, datetimes: through parsing.
|
|
*/
|
|
template <typename DataType>
|
|
void parseImpl(typename DataType::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
readText(x, rb);
|
|
}
|
|
|
|
template <>
|
|
inline void parseImpl<DataTypeDate>(DataTypeDate::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
DayNum tmp(0);
|
|
readDateText(tmp, rb);
|
|
x = tmp;
|
|
}
|
|
|
|
template <>
|
|
inline void parseImpl<DataTypeDate32>(DataTypeDate32::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
ExtendedDayNum tmp(0);
|
|
readDateText(tmp, rb);
|
|
x = tmp;
|
|
}
|
|
|
|
|
|
// NOTE: no need of extra overload of DateTime64, since readDateTimeText64 has different signature and that case is explicitly handled in the calling code.
|
|
template <>
|
|
inline void parseImpl<DataTypeDateTime>(DataTypeDateTime::FieldType & x, ReadBuffer & rb, const DateLUTImpl * time_zone)
|
|
{
|
|
time_t time = 0;
|
|
readDateTimeText(time, rb, *time_zone);
|
|
convertFromTime<DataTypeDateTime>(x, time);
|
|
}
|
|
|
|
template <>
|
|
inline void parseImpl<DataTypeUUID>(DataTypeUUID::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
UUID tmp;
|
|
readUUIDText(tmp, rb);
|
|
x = tmp.toUnderType();
|
|
}
|
|
|
|
template <>
|
|
inline void parseImpl<DataTypeIPv4>(DataTypeIPv4::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
IPv4 tmp;
|
|
readIPv4Text(tmp, rb);
|
|
x = tmp.toUnderType();
|
|
}
|
|
|
|
template <>
|
|
inline void parseImpl<DataTypeIPv6>(DataTypeIPv6::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
IPv6 tmp;
|
|
readIPv6Text(tmp, rb);
|
|
x = tmp;
|
|
}
|
|
|
|
template <typename DataType>
|
|
bool tryParseImpl(typename DataType::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
if constexpr (std::is_floating_point_v<typename DataType::FieldType>)
|
|
return tryReadFloatText(x, rb);
|
|
else /*if constexpr (is_integer_v<typename DataType::FieldType>)*/
|
|
return tryReadIntText(x, rb);
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeDate>(DataTypeDate::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
DayNum tmp(0);
|
|
if (!tryReadDateText(tmp, rb))
|
|
return false;
|
|
x = tmp;
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeDate32>(DataTypeDate32::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
ExtendedDayNum tmp(0);
|
|
if (!tryReadDateText(tmp, rb))
|
|
return false;
|
|
x = tmp;
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeDateTime>(DataTypeDateTime::FieldType & x, ReadBuffer & rb, const DateLUTImpl * time_zone)
|
|
{
|
|
time_t tmp = 0;
|
|
if (!tryReadDateTimeText(tmp, rb, *time_zone))
|
|
return false;
|
|
x = static_cast<UInt32>(tmp);
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeUUID>(DataTypeUUID::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
UUID tmp;
|
|
if (!tryReadUUIDText(tmp, rb))
|
|
return false;
|
|
|
|
x = tmp.toUnderType();
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeIPv4>(DataTypeIPv4::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
IPv4 tmp;
|
|
if (!tryReadIPv4Text(tmp, rb))
|
|
return false;
|
|
|
|
x = tmp.toUnderType();
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
inline bool tryParseImpl<DataTypeIPv6>(DataTypeIPv6::FieldType & x, ReadBuffer & rb, const DateLUTImpl *)
|
|
{
|
|
IPv6 tmp;
|
|
if (!tryReadIPv6Text(tmp, rb))
|
|
return false;
|
|
|
|
x = tmp;
|
|
return true;
|
|
}
|
|
|
|
|
|
/** Throw exception with verbose message when string value is not parsed completely.
|
|
*/
|
|
[[noreturn]] inline void throwExceptionForIncompletelyParsedValue(ReadBuffer & read_buffer, const IDataType & result_type)
|
|
{
|
|
WriteBufferFromOwnString message_buf;
|
|
message_buf << "Cannot parse string " << quote << String(read_buffer.buffer().begin(), read_buffer.buffer().size())
|
|
<< " as " << result_type.getName()
|
|
<< ": syntax error";
|
|
|
|
if (read_buffer.offset())
|
|
message_buf << " at position " << read_buffer.offset()
|
|
<< " (parsed just " << quote << String(read_buffer.buffer().begin(), read_buffer.offset()) << ")";
|
|
else
|
|
message_buf << " at begin of string";
|
|
|
|
// Currently there are no functions toIPv{4,6}Or{Null,Zero}
|
|
if (isNativeNumber(result_type) && !(result_type.getName() == "IPv4" || result_type.getName() == "IPv6"))
|
|
message_buf << ". Note: there are to" << result_type.getName() << "OrZero and to" << result_type.getName() << "OrNull functions, which returns zero/NULL instead of throwing exception.";
|
|
|
|
throw Exception(PreformattedMessage{message_buf.str(), "Cannot parse string {} as {}: syntax error {}"}, ErrorCodes::CANNOT_PARSE_TEXT);
|
|
}
|
|
|
|
|
|
enum class ConvertFromStringExceptionMode
|
|
{
|
|
Throw, /// Throw exception if value cannot be parsed.
|
|
Zero, /// Fill with zero or default if value cannot be parsed.
|
|
Null /// Return ColumnNullable with NULLs when value cannot be parsed.
|
|
};
|
|
|
|
enum class ConvertFromStringParsingMode
|
|
{
|
|
Normal,
|
|
BestEffort, /// Only applicable for DateTime. Will use sophisticated method, that is slower.
|
|
BestEffortUS
|
|
};
|
|
|
|
template <typename FromDataType, typename ToDataType, typename Name,
|
|
ConvertFromStringExceptionMode exception_mode, ConvertFromStringParsingMode parsing_mode>
|
|
struct ConvertThroughParsing
|
|
{
|
|
static_assert(std::is_same_v<FromDataType, DataTypeString> || std::is_same_v<FromDataType, DataTypeFixedString>,
|
|
"ConvertThroughParsing is only applicable for String or FixedString data types");
|
|
|
|
static constexpr bool to_datetime64 = std::is_same_v<ToDataType, DataTypeDateTime64>;
|
|
|
|
static bool isAllRead(ReadBuffer & in)
|
|
{
|
|
/// In case of FixedString, skip zero bytes at end.
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeFixedString>)
|
|
while (!in.eof() && *in.position() == 0)
|
|
++in.position();
|
|
|
|
if (in.eof())
|
|
return true;
|
|
|
|
/// Special case, that allows to parse string with DateTime or DateTime64 as Date or Date32.
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDate> || std::is_same_v<ToDataType, DataTypeDate32>)
|
|
{
|
|
if (!in.eof() && (*in.position() == ' ' || *in.position() == 'T'))
|
|
{
|
|
if (in.buffer().size() == strlen("YYYY-MM-DD hh:mm:ss"))
|
|
return true;
|
|
|
|
if (in.buffer().size() >= strlen("YYYY-MM-DD hh:mm:ss.x")
|
|
&& in.buffer().begin()[19] == '.')
|
|
{
|
|
in.position() = in.buffer().begin() + 20;
|
|
|
|
while (!in.eof() && isNumericASCII(*in.position()))
|
|
++in.position();
|
|
|
|
if (in.eof())
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
template <typename Additions = void *>
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr & res_type, size_t input_rows_count,
|
|
Additions additions [[maybe_unused]] = Additions())
|
|
{
|
|
using ColVecTo = typename ToDataType::ColumnType;
|
|
|
|
const DateLUTImpl * local_time_zone [[maybe_unused]] = nullptr;
|
|
const DateLUTImpl * utc_time_zone [[maybe_unused]] = nullptr;
|
|
|
|
/// For conversion to DateTime type, second argument with time zone could be specified.
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime> || to_datetime64)
|
|
{
|
|
const auto result_type = removeNullable(res_type);
|
|
// Time zone is already figured out during result type resolution, no need to do it here.
|
|
if (const auto dt_col = checkAndGetDataType<ToDataType>(result_type.get()))
|
|
local_time_zone = &dt_col->getTimeZone();
|
|
else
|
|
local_time_zone = &extractTimeZoneFromFunctionArguments(arguments, 1, 0);
|
|
|
|
if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort || parsing_mode == ConvertFromStringParsingMode::BestEffortUS)
|
|
utc_time_zone = &DateLUT::instance("UTC");
|
|
}
|
|
|
|
const IColumn * col_from = arguments[0].column.get();
|
|
const ColumnString * col_from_string = checkAndGetColumn<ColumnString>(col_from);
|
|
const ColumnFixedString * col_from_fixed_string = checkAndGetColumn<ColumnFixedString>(col_from);
|
|
|
|
if (std::is_same_v<FromDataType, DataTypeString> && !col_from_string)
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
|
|
col_from->getName(), Name::name);
|
|
|
|
if (std::is_same_v<FromDataType, DataTypeFixedString> && !col_from_fixed_string)
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
|
|
col_from->getName(), Name::name);
|
|
|
|
size_t size = input_rows_count;
|
|
typename ColVecTo::MutablePtr col_to = nullptr;
|
|
|
|
if constexpr (IsDataTypeDecimal<ToDataType>)
|
|
{
|
|
UInt32 scale = additions;
|
|
if constexpr (to_datetime64)
|
|
{
|
|
ToDataType check_bounds_in_ctor(scale, local_time_zone ? local_time_zone->getTimeZone() : String{});
|
|
}
|
|
else
|
|
{
|
|
ToDataType check_bounds_in_ctor(ToDataType::maxPrecision(), scale);
|
|
}
|
|
col_to = ColVecTo::create(size, scale);
|
|
}
|
|
else
|
|
col_to = ColVecTo::create(size);
|
|
|
|
typename ColVecTo::Container & vec_to = col_to->getData();
|
|
|
|
ColumnUInt8::MutablePtr col_null_map_to;
|
|
ColumnUInt8::Container * vec_null_map_to [[maybe_unused]] = nullptr;
|
|
if constexpr (exception_mode == ConvertFromStringExceptionMode::Null)
|
|
{
|
|
col_null_map_to = ColumnUInt8::create(size);
|
|
vec_null_map_to = &col_null_map_to->getData();
|
|
}
|
|
|
|
const ColumnString::Chars * chars = nullptr;
|
|
const IColumn::Offsets * offsets = nullptr;
|
|
size_t fixed_string_size = 0;
|
|
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeString>)
|
|
{
|
|
chars = &col_from_string->getChars();
|
|
offsets = &col_from_string->getOffsets();
|
|
}
|
|
else
|
|
{
|
|
chars = &col_from_fixed_string->getChars();
|
|
fixed_string_size = col_from_fixed_string->getN();
|
|
}
|
|
|
|
size_t current_offset = 0;
|
|
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
size_t next_offset = std::is_same_v<FromDataType, DataTypeString> ? (*offsets)[i] : (current_offset + fixed_string_size);
|
|
size_t string_size = std::is_same_v<FromDataType, DataTypeString> ? next_offset - current_offset - 1 : fixed_string_size;
|
|
|
|
ReadBufferFromMemory read_buffer(&(*chars)[current_offset], string_size);
|
|
|
|
if constexpr (exception_mode == ConvertFromStringExceptionMode::Throw)
|
|
{
|
|
if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort)
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 res = 0;
|
|
parseDateTime64BestEffort(res, col_to->getScale(), read_buffer, *local_time_zone, *utc_time_zone);
|
|
vec_to[i] = res;
|
|
}
|
|
else
|
|
{
|
|
time_t res;
|
|
parseDateTimeBestEffort(res, read_buffer, *local_time_zone, *utc_time_zone);
|
|
convertFromTime<ToDataType>(vec_to[i], res);
|
|
}
|
|
}
|
|
else if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffortUS)
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 res = 0;
|
|
parseDateTime64BestEffortUS(res, col_to->getScale(), read_buffer, *local_time_zone, *utc_time_zone);
|
|
vec_to[i] = res;
|
|
}
|
|
else
|
|
{
|
|
time_t res;
|
|
parseDateTimeBestEffortUS(res, read_buffer, *local_time_zone, *utc_time_zone);
|
|
convertFromTime<ToDataType>(vec_to[i], res);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 value = 0;
|
|
readDateTime64Text(value, col_to->getScale(), read_buffer, *local_time_zone);
|
|
vec_to[i] = value;
|
|
}
|
|
else if constexpr (IsDataTypeDecimal<ToDataType>)
|
|
{
|
|
SerializationDecimal<typename ToDataType::FieldType>::readText(
|
|
vec_to[i], read_buffer, ToDataType::maxPrecision(), col_to->getScale());
|
|
}
|
|
else
|
|
{
|
|
/// we want to utilize constexpr condition here, which is not mixable with value comparison
|
|
do
|
|
{
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeFixedString> && std::is_same_v<ToDataType, DataTypeIPv6>)
|
|
{
|
|
if (fixed_string_size == IPV6_BINARY_LENGTH)
|
|
{
|
|
readBinary(vec_to[i], read_buffer);
|
|
break;
|
|
}
|
|
}
|
|
|
|
parseImpl<ToDataType>(vec_to[i], read_buffer, local_time_zone);
|
|
} while (false);
|
|
}
|
|
}
|
|
|
|
if (!isAllRead(read_buffer))
|
|
throwExceptionForIncompletelyParsedValue(read_buffer, *res_type);
|
|
}
|
|
else
|
|
{
|
|
bool parsed;
|
|
|
|
if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort)
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 res = 0;
|
|
parsed = tryParseDateTime64BestEffort(res, col_to->getScale(), read_buffer, *local_time_zone, *utc_time_zone);
|
|
vec_to[i] = res;
|
|
}
|
|
else
|
|
{
|
|
time_t res;
|
|
parsed = tryParseDateTimeBestEffort(res, read_buffer, *local_time_zone, *utc_time_zone);
|
|
convertFromTime<ToDataType>(vec_to[i],res);
|
|
}
|
|
}
|
|
else if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffortUS)
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 res = 0;
|
|
parsed = tryParseDateTime64BestEffortUS(res, col_to->getScale(), read_buffer, *local_time_zone, *utc_time_zone);
|
|
vec_to[i] = res;
|
|
}
|
|
else
|
|
{
|
|
time_t res;
|
|
parsed = tryParseDateTimeBestEffortUS(res, read_buffer, *local_time_zone, *utc_time_zone);
|
|
convertFromTime<ToDataType>(vec_to[i],res);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if constexpr (to_datetime64)
|
|
{
|
|
DateTime64 value = 0;
|
|
parsed = tryReadDateTime64Text(value, col_to->getScale(), read_buffer, *local_time_zone);
|
|
vec_to[i] = value;
|
|
}
|
|
else if constexpr (IsDataTypeDecimal<ToDataType>)
|
|
{
|
|
parsed = SerializationDecimal<typename ToDataType::FieldType>::tryReadText(
|
|
vec_to[i], read_buffer, ToDataType::maxPrecision(), col_to->getScale());
|
|
}
|
|
else
|
|
{
|
|
/// we want to utilize constexpr condition here, which is not mixable with value comparison
|
|
do
|
|
{
|
|
if constexpr (std::is_same_v<FromDataType, DataTypeFixedString> && std::is_same_v<ToDataType, DataTypeIPv6>)
|
|
{
|
|
if (fixed_string_size == IPV6_BINARY_LENGTH)
|
|
{
|
|
readBinary(vec_to[i], read_buffer);
|
|
parsed = true;
|
|
break;
|
|
}
|
|
}
|
|
|
|
parsed = tryParseImpl<ToDataType>(vec_to[i], read_buffer, local_time_zone);
|
|
} while (false);
|
|
}
|
|
}
|
|
|
|
if (!isAllRead(read_buffer))
|
|
parsed = false;
|
|
|
|
if (!parsed)
|
|
{
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDate32>)
|
|
{
|
|
vec_to[i] = -static_cast<Int32>(DateLUT::instance().getDayNumOffsetEpoch());
|
|
}
|
|
else
|
|
{
|
|
vec_to[i] = static_cast<typename ToDataType::FieldType>(0);
|
|
}
|
|
}
|
|
|
|
if constexpr (exception_mode == ConvertFromStringExceptionMode::Null)
|
|
(*vec_null_map_to)[i] = !parsed;
|
|
}
|
|
|
|
current_offset = next_offset;
|
|
}
|
|
|
|
if constexpr (exception_mode == ConvertFromStringExceptionMode::Null)
|
|
return ColumnNullable::create(std::move(col_to), std::move(col_null_map_to));
|
|
else
|
|
return col_to;
|
|
}
|
|
};
|
|
|
|
|
|
template <typename ToDataType, typename Name>
|
|
requires (!std::is_same_v<ToDataType, DataTypeString>)
|
|
struct ConvertImpl<DataTypeString, ToDataType, Name, ConvertDefaultBehaviorTag>
|
|
: ConvertThroughParsing<DataTypeString, ToDataType, Name, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::Normal> {};
|
|
|
|
template <typename ToDataType, typename Name>
|
|
requires (!std::is_same_v<ToDataType, DataTypeFixedString>)
|
|
struct ConvertImpl<DataTypeFixedString, ToDataType, Name, ConvertDefaultBehaviorTag>
|
|
: ConvertThroughParsing<DataTypeFixedString, ToDataType, Name, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::Normal> {};
|
|
|
|
template <typename ToDataType, typename Name>
|
|
requires (!std::is_same_v<ToDataType, DataTypeString>)
|
|
struct ConvertImpl<DataTypeString, ToDataType, Name, ConvertReturnNullOnErrorTag>
|
|
: ConvertThroughParsing<DataTypeString, ToDataType, Name, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::Normal> {};
|
|
|
|
template <typename ToDataType, typename Name>
|
|
requires (!std::is_same_v<ToDataType, DataTypeFixedString>)
|
|
struct ConvertImpl<DataTypeFixedString, ToDataType, Name, ConvertReturnNullOnErrorTag>
|
|
: ConvertThroughParsing<DataTypeFixedString, ToDataType, Name, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::Normal> {};
|
|
|
|
template <typename FromDataType, typename ToDataType, typename Name>
|
|
requires (is_any_of<FromDataType, DataTypeString, DataTypeFixedString> && is_any_of<ToDataType, DataTypeIPv4, DataTypeIPv6>)
|
|
struct ConvertImpl<FromDataType, ToDataType, Name, ConvertReturnZeroOnErrorTag>
|
|
: ConvertThroughParsing<FromDataType, ToDataType, Name, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::Normal> {};
|
|
|
|
/// Generic conversion of any type from String. Used for complex types: Array and Tuple or types with custom serialization.
|
|
template <typename StringColumnType>
|
|
struct ConvertImplGenericFromString
|
|
{
|
|
static ColumnPtr execute(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * column_nullable, size_t input_rows_count)
|
|
{
|
|
static_assert(std::is_same_v<StringColumnType, ColumnString> || std::is_same_v<StringColumnType, ColumnFixedString>,
|
|
"Can be used only to parse from ColumnString or ColumnFixedString");
|
|
|
|
const IColumn & column_from = *arguments[0].column;
|
|
const IDataType & data_type_to = *result_type;
|
|
auto res = data_type_to.createColumn();
|
|
auto serialization = data_type_to.getDefaultSerialization();
|
|
const auto * null_map = column_nullable ? &column_nullable->getNullMapData() : nullptr;
|
|
|
|
executeImpl(column_from, *res, *serialization, input_rows_count, null_map, result_type.get());
|
|
return res;
|
|
}
|
|
|
|
static void executeImpl(
|
|
const IColumn & column_from,
|
|
IColumn & column_to,
|
|
const ISerialization & serialization_from,
|
|
size_t input_rows_count,
|
|
const PaddedPODArray<UInt8> * null_map = nullptr,
|
|
const IDataType * result_type = nullptr)
|
|
{
|
|
static_assert(std::is_same_v<StringColumnType, ColumnString> || std::is_same_v<StringColumnType, ColumnFixedString>,
|
|
"Can be used only to parse from ColumnString or ColumnFixedString");
|
|
|
|
if (const StringColumnType * col_from_string = checkAndGetColumn<StringColumnType>(&column_from))
|
|
{
|
|
column_to.reserve(input_rows_count);
|
|
|
|
FormatSettings format_settings;
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
if (null_map && (*null_map)[i])
|
|
{
|
|
column_to.insertDefault();
|
|
continue;
|
|
}
|
|
|
|
const auto & val = col_from_string->getDataAt(i);
|
|
ReadBufferFromMemory read_buffer(val.data, val.size);
|
|
serialization_from.deserializeWholeText(column_to, read_buffer, format_settings);
|
|
|
|
if (!read_buffer.eof())
|
|
{
|
|
if (result_type)
|
|
throwExceptionForIncompletelyParsedValue(read_buffer, *result_type);
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_PARSE_TEXT,
|
|
"Cannot parse string to column {}. Expected eof", column_to.getName());
|
|
}
|
|
}
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
|
|
"Illegal column {} of first argument of conversion function from string",
|
|
column_from.getName());
|
|
}
|
|
|
|
};
|
|
|
|
|
|
template <>
|
|
struct ConvertImpl<DataTypeString, DataTypeUInt32, NameToUnixTimestamp, ConvertDefaultBehaviorTag>
|
|
: ConvertImpl<DataTypeString, DataTypeDateTime, NameToUnixTimestamp, ConvertDefaultBehaviorTag> {};
|
|
|
|
template <>
|
|
struct ConvertImpl<DataTypeString, DataTypeUInt32, NameToUnixTimestamp, ConvertReturnNullOnErrorTag>
|
|
: ConvertImpl<DataTypeString, DataTypeDateTime, NameToUnixTimestamp, ConvertReturnNullOnErrorTag> {};
|
|
|
|
/** If types are identical, just take reference to column.
|
|
*/
|
|
template <typename T, typename Name>
|
|
requires (!T::is_parametric)
|
|
struct ConvertImpl<T, T, Name, ConvertDefaultBehaviorTag>
|
|
{
|
|
template <typename Additions = void *>
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/,
|
|
Additions additions [[maybe_unused]] = Additions())
|
|
{
|
|
return arguments[0].column;
|
|
}
|
|
};
|
|
|
|
template <typename Name>
|
|
struct ConvertImpl<DataTypeUInt8, DataTypeUInt8, Name, ConvertDefaultBehaviorTag>
|
|
{
|
|
template <typename Additions = void *>
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/,
|
|
Additions additions [[maybe_unused]] = Additions())
|
|
{
|
|
|
|
return arguments[0].column;
|
|
}
|
|
};
|
|
|
|
|
|
/** Conversion from FixedString to String.
|
|
* Cutting sequences of zero bytes from end of strings.
|
|
*/
|
|
template <typename Name>
|
|
struct ConvertImpl<DataTypeFixedString, DataTypeString, Name, ConvertDefaultBehaviorTag>
|
|
{
|
|
static ColumnPtr execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr & return_type, size_t /*input_rows_count*/)
|
|
{
|
|
ColumnUInt8::MutablePtr null_map = copyNullMap(arguments[0].column);
|
|
const auto & nested = columnGetNested(arguments[0]);
|
|
if (const ColumnFixedString * col_from = checkAndGetColumn<ColumnFixedString>(nested.column.get()))
|
|
{
|
|
auto col_to = ColumnString::create();
|
|
|
|
const ColumnFixedString::Chars & data_from = col_from->getChars();
|
|
ColumnString::Chars & data_to = col_to->getChars();
|
|
ColumnString::Offsets & offsets_to = col_to->getOffsets();
|
|
size_t size = col_from->size();
|
|
size_t n = col_from->getN();
|
|
data_to.resize(size * (n + 1)); /// + 1 - zero terminator
|
|
offsets_to.resize(size);
|
|
|
|
size_t offset_from = 0;
|
|
size_t offset_to = 0;
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
if (!null_map || !null_map->getData()[i])
|
|
{
|
|
size_t bytes_to_copy = n;
|
|
while (bytes_to_copy > 0 && data_from[offset_from + bytes_to_copy - 1] == 0)
|
|
--bytes_to_copy;
|
|
|
|
memcpy(&data_to[offset_to], &data_from[offset_from], bytes_to_copy);
|
|
offset_to += bytes_to_copy;
|
|
}
|
|
data_to[offset_to] = 0;
|
|
++offset_to;
|
|
offsets_to[i] = offset_to;
|
|
offset_from += n;
|
|
}
|
|
|
|
data_to.resize(offset_to);
|
|
if (return_type->isNullable() && null_map)
|
|
return ColumnNullable::create(std::move(col_to), std::move(null_map));
|
|
return col_to;
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}",
|
|
arguments[0].column->getName(), Name::name);
|
|
}
|
|
};
|
|
|
|
|
|
/// Declared early because used below.
|
|
struct NameToDate { static constexpr auto name = "toDate"; };
|
|
struct NameToDate32 { static constexpr auto name = "toDate32"; };
|
|
struct NameToDateTime { static constexpr auto name = "toDateTime"; };
|
|
struct NameToDateTime32 { static constexpr auto name = "toDateTime32"; };
|
|
struct NameToDateTime64 { static constexpr auto name = "toDateTime64"; };
|
|
struct NameToString { static constexpr auto name = "toString"; };
|
|
struct NameToDecimal32 { static constexpr auto name = "toDecimal32"; };
|
|
struct NameToDecimal64 { static constexpr auto name = "toDecimal64"; };
|
|
struct NameToDecimal128 { static constexpr auto name = "toDecimal128"; };
|
|
struct NameToDecimal256 { static constexpr auto name = "toDecimal256"; };
|
|
|
|
|
|
#define DEFINE_NAME_TO_INTERVAL(INTERVAL_KIND) \
|
|
struct NameToInterval ## INTERVAL_KIND \
|
|
{ \
|
|
static constexpr auto name = "toInterval" #INTERVAL_KIND; \
|
|
static constexpr auto kind = IntervalKind::INTERVAL_KIND; \
|
|
};
|
|
|
|
DEFINE_NAME_TO_INTERVAL(Nanosecond)
|
|
DEFINE_NAME_TO_INTERVAL(Microsecond)
|
|
DEFINE_NAME_TO_INTERVAL(Millisecond)
|
|
DEFINE_NAME_TO_INTERVAL(Second)
|
|
DEFINE_NAME_TO_INTERVAL(Minute)
|
|
DEFINE_NAME_TO_INTERVAL(Hour)
|
|
DEFINE_NAME_TO_INTERVAL(Day)
|
|
DEFINE_NAME_TO_INTERVAL(Week)
|
|
DEFINE_NAME_TO_INTERVAL(Month)
|
|
DEFINE_NAME_TO_INTERVAL(Quarter)
|
|
DEFINE_NAME_TO_INTERVAL(Year)
|
|
|
|
#undef DEFINE_NAME_TO_INTERVAL
|
|
|
|
struct NameParseDateTimeBestEffort;
|
|
struct NameParseDateTimeBestEffortOrZero;
|
|
struct NameParseDateTimeBestEffortOrNull;
|
|
|
|
template<typename Name, typename ToDataType>
|
|
static inline bool isDateTime64(const ColumnsWithTypeAndName & arguments)
|
|
{
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
return true;
|
|
else if constexpr (std::is_same_v<Name, NameToDateTime> || std::is_same_v<Name, NameParseDateTimeBestEffort>
|
|
|| std::is_same_v<Name, NameParseDateTimeBestEffortOrZero> || std::is_same_v<Name, NameParseDateTimeBestEffortOrNull>)
|
|
{
|
|
return (arguments.size() == 2 && isUnsignedInteger(arguments[1].type)) || arguments.size() == 3;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
template <typename ToDataType, typename Name, typename MonotonicityImpl>
|
|
class FunctionConvert : public IFunction
|
|
{
|
|
public:
|
|
using Monotonic = MonotonicityImpl;
|
|
|
|
static constexpr auto name = Name::name;
|
|
static constexpr bool to_decimal =
|
|
std::is_same_v<Name, NameToDecimal32> || std::is_same_v<Name, NameToDecimal64>
|
|
|| std::is_same_v<Name, NameToDecimal128> || std::is_same_v<Name, NameToDecimal256>;
|
|
|
|
static constexpr bool to_datetime64 = std::is_same_v<ToDataType, DataTypeDateTime64>;
|
|
|
|
static constexpr bool to_string_or_fixed_string = std::is_same_v<ToDataType, DataTypeFixedString> ||
|
|
std::is_same_v<ToDataType, DataTypeString>;
|
|
|
|
static constexpr bool to_date_or_datetime = std::is_same_v<ToDataType, DataTypeDate> ||
|
|
std::is_same_v<ToDataType, DataTypeDate32> ||
|
|
std::is_same_v<ToDataType, DataTypeDateTime>;
|
|
|
|
static FunctionPtr create(ContextPtr context) { return std::make_shared<FunctionConvert>(context); }
|
|
static FunctionPtr create() { return std::make_shared<FunctionConvert>(); }
|
|
|
|
FunctionConvert() = default;
|
|
explicit FunctionConvert(ContextPtr context_) : context(context_) {}
|
|
|
|
String getName() const override
|
|
{
|
|
return name;
|
|
}
|
|
|
|
bool isVariadic() const override { return true; }
|
|
size_t getNumberOfArguments() const override { return 0; }
|
|
bool isInjective(const ColumnsWithTypeAndName &) const override { return std::is_same_v<Name, NameToString>; }
|
|
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & arguments) const override
|
|
{
|
|
/// TODO: We can make more optimizations here.
|
|
return !(to_date_or_datetime && isNumber(*arguments[0].type));
|
|
}
|
|
|
|
using DefaultReturnTypeGetter = std::function<DataTypePtr(const ColumnsWithTypeAndName &)>;
|
|
static DataTypePtr getReturnTypeDefaultImplementationForNulls(const ColumnsWithTypeAndName & arguments, const DefaultReturnTypeGetter & getter)
|
|
{
|
|
NullPresence null_presence = getNullPresense(arguments);
|
|
|
|
if (null_presence.has_null_constant)
|
|
{
|
|
return makeNullable(std::make_shared<DataTypeNothing>());
|
|
}
|
|
if (null_presence.has_nullable)
|
|
{
|
|
auto nested_columns = Block(createBlockWithNestedColumns(arguments));
|
|
auto return_type = getter(ColumnsWithTypeAndName(nested_columns.begin(), nested_columns.end()));
|
|
return makeNullable(return_type);
|
|
}
|
|
|
|
return getter(arguments);
|
|
}
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
auto getter = [&] (const auto & args) { return getReturnTypeImplRemovedNullable(args); };
|
|
auto res = getReturnTypeDefaultImplementationForNulls(arguments, getter);
|
|
to_nullable = res->isNullable();
|
|
checked_return_type = true;
|
|
return res;
|
|
}
|
|
|
|
DataTypePtr getReturnTypeImplRemovedNullable(const ColumnsWithTypeAndName & arguments) const
|
|
{
|
|
FunctionArgumentDescriptors mandatory_args = {{"Value", nullptr, nullptr, nullptr}};
|
|
FunctionArgumentDescriptors optional_args;
|
|
|
|
if constexpr (to_decimal)
|
|
{
|
|
mandatory_args.push_back({"scale", &isNativeInteger<IDataType>, &isColumnConst, "const Integer"});
|
|
}
|
|
|
|
if (!to_decimal && isDateTime64<Name, ToDataType>(arguments))
|
|
{
|
|
mandatory_args.push_back({"scale", &isNativeInteger<IDataType>, &isColumnConst, "const Integer"});
|
|
}
|
|
|
|
// toString(DateTime or DateTime64, [timezone: String])
|
|
if ((std::is_same_v<Name, NameToString> && !arguments.empty() && (isDateTime64(arguments[0].type) || isDateTime(arguments[0].type)))
|
|
// toUnixTimestamp(value[, timezone : String])
|
|
|| std::is_same_v<Name, NameToUnixTimestamp>
|
|
// toDate(value[, timezone : String])
|
|
|| std::is_same_v<ToDataType, DataTypeDate> // TODO: shall we allow timestamp argument for toDate? DateTime knows nothing about timezones and this argument is ignored below.
|
|
// toDate(value[, timezone : String])
|
|
|| std::is_same_v<ToDataType, DataTypeDate32>
|
|
// toDateTime(value[, timezone: String])
|
|
|| std::is_same_v<ToDataType, DataTypeDateTime>
|
|
// toDateTime64(value, scale : Integer[, timezone: String])
|
|
|| std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
{
|
|
optional_args.push_back({"timezone", &isString<IDataType>, &isColumnConst, "const String"});
|
|
}
|
|
|
|
validateFunctionArgumentTypes(*this, arguments, mandatory_args, optional_args);
|
|
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeInterval>)
|
|
{
|
|
return std::make_shared<DataTypeInterval>(Name::kind);
|
|
}
|
|
else if constexpr (to_decimal)
|
|
{
|
|
UInt64 scale = extractToDecimalScale(arguments[1]);
|
|
|
|
if constexpr (std::is_same_v<Name, NameToDecimal32>)
|
|
return createDecimalMaxPrecision<Decimal32>(scale);
|
|
else if constexpr (std::is_same_v<Name, NameToDecimal64>)
|
|
return createDecimalMaxPrecision<Decimal64>(scale);
|
|
else if constexpr (std::is_same_v<Name, NameToDecimal128>)
|
|
return createDecimalMaxPrecision<Decimal128>(scale);
|
|
else if constexpr (std::is_same_v<Name, NameToDecimal256>)
|
|
return createDecimalMaxPrecision<Decimal256>(scale);
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unexpected branch in code of conversion function: it is a bug.");
|
|
}
|
|
else
|
|
{
|
|
// Optional second argument with time zone for DateTime.
|
|
UInt8 timezone_arg_position = 1;
|
|
UInt32 scale [[maybe_unused]] = DataTypeDateTime64::default_scale;
|
|
|
|
// DateTime64 requires more arguments: scale and timezone. Since timezone is optional, scale should be first.
|
|
if (isDateTime64<Name, ToDataType>(arguments))
|
|
{
|
|
timezone_arg_position += 1;
|
|
scale = static_cast<UInt32>(arguments[1].column->get64(0));
|
|
|
|
if (to_datetime64 || scale != 0) /// toDateTime('xxxx-xx-xx xx:xx:xx', 0) return DateTime
|
|
return std::make_shared<DataTypeDateTime64>(scale,
|
|
extractTimeZoneNameFromFunctionArguments(arguments, timezone_arg_position, 0));
|
|
|
|
return std::make_shared<DataTypeDateTime>(extractTimeZoneNameFromFunctionArguments(arguments, timezone_arg_position, 0));
|
|
}
|
|
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>)
|
|
return std::make_shared<DataTypeDateTime>(extractTimeZoneNameFromFunctionArguments(arguments, timezone_arg_position, 0));
|
|
else if constexpr (std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unexpected branch in code of conversion function: it is a bug.");
|
|
else
|
|
return std::make_shared<ToDataType>();
|
|
}
|
|
}
|
|
|
|
/// Function actually uses default implementation for nulls,
|
|
/// but we need to know if return type is Nullable or not,
|
|
/// so we use checked_return_type only to intercept the first call to getReturnTypeImpl(...).
|
|
bool useDefaultImplementationForNulls() const override
|
|
{
|
|
bool to_nullable_string = to_nullable && std::is_same_v<ToDataType, DataTypeString>;
|
|
return checked_return_type && !to_nullable_string;
|
|
}
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override
|
|
{
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
return {2};
|
|
return {1};
|
|
}
|
|
bool canBeExecutedOnDefaultArguments() const override { return false; }
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
|
{
|
|
try
|
|
{
|
|
return executeInternal(arguments, result_type, input_rows_count);
|
|
}
|
|
catch (Exception & e)
|
|
{
|
|
/// More convenient error message.
|
|
if (e.code() == ErrorCodes::ATTEMPT_TO_READ_AFTER_EOF)
|
|
{
|
|
e.addMessage("Cannot parse "
|
|
+ result_type->getName() + " from "
|
|
+ arguments[0].type->getName()
|
|
+ ", because value is too short");
|
|
}
|
|
else if (e.code() == ErrorCodes::CANNOT_PARSE_NUMBER
|
|
|| e.code() == ErrorCodes::CANNOT_READ_ARRAY_FROM_TEXT
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_INPUT_ASSERTION_FAILED
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_QUOTED_STRING
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_ESCAPE_SEQUENCE
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_DATE
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_DATETIME
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_UUID
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_IPV4
|
|
|| e.code() == ErrorCodes::CANNOT_PARSE_IPV6)
|
|
{
|
|
e.addMessage("Cannot parse "
|
|
+ result_type->getName() + " from "
|
|
+ arguments[0].type->getName());
|
|
}
|
|
|
|
throw;
|
|
}
|
|
}
|
|
|
|
bool hasInformationAboutMonotonicity() const override
|
|
{
|
|
return Monotonic::has();
|
|
}
|
|
|
|
Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override
|
|
{
|
|
return Monotonic::get(type, left, right);
|
|
}
|
|
|
|
private:
|
|
ContextPtr context;
|
|
mutable bool checked_return_type = false;
|
|
mutable bool to_nullable = false;
|
|
|
|
ColumnPtr executeInternal(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const
|
|
{
|
|
if (arguments.empty())
|
|
throw Exception(ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION, "Function {} expects at least 1 argument", getName());
|
|
|
|
if (result_type->onlyNull())
|
|
return result_type->createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
const DataTypePtr from_type = removeNullable(arguments[0].type);
|
|
ColumnPtr result_column;
|
|
|
|
auto call = [&](const auto & types, const auto & tag) -> bool
|
|
{
|
|
using Types = std::decay_t<decltype(types)>;
|
|
using LeftDataType = typename Types::LeftType;
|
|
using RightDataType = typename Types::RightType;
|
|
using SpecialTag = std::decay_t<decltype(tag)>;
|
|
|
|
if constexpr (IsDataTypeDecimal<RightDataType>)
|
|
{
|
|
if constexpr (std::is_same_v<RightDataType, DataTypeDateTime64>)
|
|
{
|
|
/// Account for optional timezone argument.
|
|
if (arguments.size() != 2 && arguments.size() != 3)
|
|
throw Exception(ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION, "Function {} expects 2 or 3 arguments for DataTypeDateTime64.", getName());
|
|
}
|
|
else if (arguments.size() != 2)
|
|
{
|
|
throw Exception(ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION, "Function {} expects 2 arguments for Decimal.", getName());
|
|
}
|
|
|
|
const ColumnWithTypeAndName & scale_column = arguments[1];
|
|
UInt32 scale = extractToDecimalScale(scale_column);
|
|
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, Name, SpecialTag>::execute(arguments, result_type, input_rows_count, scale);
|
|
}
|
|
else if constexpr (IsDataTypeDateOrDateTime<RightDataType> && std::is_same_v<LeftDataType, DataTypeDateTime64>)
|
|
{
|
|
const auto * dt64 = assert_cast<const DataTypeDateTime64 *>(arguments[0].type.get());
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, Name, SpecialTag>::execute(arguments, result_type, input_rows_count, dt64->getScale());
|
|
}
|
|
else if constexpr (IsDataTypeDecimalOrNumber<LeftDataType> && IsDataTypeDecimalOrNumber<RightDataType>)
|
|
{
|
|
using LeftT = typename LeftDataType::FieldType;
|
|
using RightT = typename RightDataType::FieldType;
|
|
|
|
static constexpr bool bad_left =
|
|
is_decimal<LeftT> || std::is_floating_point_v<LeftT> || is_big_int_v<LeftT> || is_signed_v<LeftT>;
|
|
static constexpr bool bad_right =
|
|
is_decimal<RightT> || std::is_floating_point_v<RightT> || is_big_int_v<RightT> || is_signed_v<RightT>;
|
|
|
|
/// Disallow int vs UUID conversion (but support int vs UInt128 conversion)
|
|
if constexpr ((bad_left && std::is_same_v<RightDataType, DataTypeUUID>) ||
|
|
(bad_right && std::is_same_v<LeftDataType, DataTypeUUID>))
|
|
{
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Wrong UUID conversion");
|
|
}
|
|
else
|
|
{
|
|
result_column
|
|
= ConvertImpl<LeftDataType, RightDataType, Name, SpecialTag>::execute(arguments, result_type, input_rows_count);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, Name, SpecialTag>::execute(arguments, result_type, input_rows_count);
|
|
}
|
|
|
|
return true;
|
|
};
|
|
|
|
if (isDateTime64<Name, ToDataType>(arguments))
|
|
{
|
|
/// For toDateTime('xxxx-xx-xx xx:xx:xx.00', 2[, 'timezone']) we need to it convert to DateTime64
|
|
const ColumnWithTypeAndName & scale_column = arguments[1];
|
|
UInt32 scale = extractToDecimalScale(scale_column);
|
|
|
|
if (to_datetime64 || scale != 0) /// When scale = 0, the data type is DateTime otherwise the data type is DateTime64
|
|
{
|
|
if (!callOnIndexAndDataType<DataTypeDateTime64>(from_type->getTypeId(), call, ConvertDefaultBehaviorTag{}))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of argument of function {}",
|
|
arguments[0].type->getName(), getName());
|
|
|
|
return result_column;
|
|
}
|
|
}
|
|
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeString>)
|
|
{
|
|
if (from_type->getCustomSerialization())
|
|
return ConvertImplGenericToString<ColumnString>::execute(arguments, result_type, input_rows_count);
|
|
}
|
|
|
|
bool done = false;
|
|
if constexpr (to_string_or_fixed_string)
|
|
{
|
|
done = callOnIndexAndDataType<ToDataType>(from_type->getTypeId(), call, ConvertDefaultBehaviorTag{});
|
|
}
|
|
else
|
|
{
|
|
bool cast_ipv4_ipv6_default_on_conversion_error = false;
|
|
if constexpr (is_any_of<ToDataType, DataTypeIPv4, DataTypeIPv6>)
|
|
if (context && (cast_ipv4_ipv6_default_on_conversion_error = context->getSettingsRef().cast_ipv4_ipv6_default_on_conversion_error))
|
|
done = callOnIndexAndDataType<ToDataType>(from_type->getTypeId(), call, ConvertReturnZeroOnErrorTag{});
|
|
|
|
if (!cast_ipv4_ipv6_default_on_conversion_error)
|
|
{
|
|
/// We should use ConvertFromStringExceptionMode::Null mode when converting from String (or FixedString)
|
|
/// to Nullable type, to avoid 'value is too short' error on attempt to parse empty string from NULL values.
|
|
if (to_nullable && WhichDataType(from_type).isStringOrFixedString())
|
|
done = callOnIndexAndDataType<ToDataType>(from_type->getTypeId(), call, ConvertReturnNullOnErrorTag{});
|
|
else
|
|
done = callOnIndexAndDataType<ToDataType>(from_type->getTypeId(), call, ConvertDefaultBehaviorTag{});
|
|
}
|
|
}
|
|
|
|
if (!done)
|
|
{
|
|
/// Generic conversion of any type to String.
|
|
if (std::is_same_v<ToDataType, DataTypeString>)
|
|
{
|
|
return ConvertImplGenericToString<ColumnString>::execute(arguments, result_type, input_rows_count);
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of argument of function {}",
|
|
arguments[0].type->getName(), getName());
|
|
}
|
|
|
|
return result_column;
|
|
}
|
|
};
|
|
|
|
|
|
/** Function toTOrZero (where T is number of date or datetime type):
|
|
* try to convert from String to type T through parsing,
|
|
* if cannot parse, return default value instead of throwing exception.
|
|
* Function toTOrNull will return Nullable type with NULL when cannot parse.
|
|
* NOTE Also need to implement tryToUnixTimestamp with timezone.
|
|
*/
|
|
template <typename ToDataType, typename Name,
|
|
ConvertFromStringExceptionMode exception_mode,
|
|
ConvertFromStringParsingMode parsing_mode = ConvertFromStringParsingMode::Normal>
|
|
class FunctionConvertFromString : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = Name::name;
|
|
static constexpr bool to_decimal =
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal32>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal64>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal128>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal256>>;
|
|
|
|
static constexpr bool to_datetime64 = std::is_same_v<ToDataType, DataTypeDateTime64>;
|
|
|
|
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionConvertFromString>(); }
|
|
static FunctionPtr create() { return std::make_shared<FunctionConvertFromString>(); }
|
|
|
|
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 true; }
|
|
bool canBeExecutedOnDefaultArguments() const override { return false; }
|
|
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
DataTypePtr res;
|
|
|
|
if (isDateTime64<Name, ToDataType>(arguments))
|
|
{
|
|
validateFunctionArgumentTypes(*this, arguments,
|
|
FunctionArgumentDescriptors{{"string", &isStringOrFixedString<IDataType>, nullptr, "String or FixedString"}},
|
|
// optional
|
|
FunctionArgumentDescriptors{
|
|
{"precision", &isUInt8<IDataType>, isColumnConst, "const UInt8"},
|
|
{"timezone", &isStringOrFixedString<IDataType>, isColumnConst, "const String or FixedString"},
|
|
});
|
|
|
|
UInt64 scale = to_datetime64 ? DataTypeDateTime64::default_scale : 0;
|
|
if (arguments.size() > 1)
|
|
scale = extractToDecimalScale(arguments[1]);
|
|
const auto timezone = extractTimeZoneNameFromFunctionArguments(arguments, 2, 0);
|
|
|
|
res = scale == 0 ? res = std::make_shared<DataTypeDateTime>(timezone) : std::make_shared<DataTypeDateTime64>(scale, timezone);
|
|
}
|
|
else
|
|
{
|
|
if ((arguments.size() != 1 && arguments.size() != 2) || (to_decimal && arguments.size() != 2))
|
|
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
|
|
"Number of arguments for function {} doesn't match: passed {}, should be 1 or 2. "
|
|
"Second argument only make sense for DateTime (time zone, optional) and Decimal (scale).",
|
|
getName(), arguments.size());
|
|
|
|
if (!isStringOrFixedString(arguments[0].type))
|
|
{
|
|
if (this->getName().find("OrZero") != std::string::npos ||
|
|
this->getName().find("OrNull") != std::string::npos)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of first argument of function {}. "
|
|
"Conversion functions with postfix 'OrZero' or 'OrNull' should take String argument",
|
|
arguments[0].type->getName(), getName());
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of first argument of function {}",
|
|
arguments[0].type->getName(), getName());
|
|
}
|
|
|
|
if (arguments.size() == 2)
|
|
{
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>)
|
|
{
|
|
if (!isString(arguments[1].type))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of 2nd argument of function {}",
|
|
arguments[1].type->getName(), getName());
|
|
}
|
|
else if constexpr (to_decimal)
|
|
{
|
|
if (!isInteger(arguments[1].type))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of 2nd argument of function {}",
|
|
arguments[1].type->getName(), getName());
|
|
if (!arguments[1].column)
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Second argument for function {} must be constant", getName());
|
|
}
|
|
else
|
|
{
|
|
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
|
|
"Number of arguments for function {} doesn't match: passed {}, should be 1. "
|
|
"Second argument makes sense only for DateTime and Decimal.",
|
|
getName(), arguments.size());
|
|
}
|
|
}
|
|
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>)
|
|
res = std::make_shared<DataTypeDateTime>(extractTimeZoneNameFromFunctionArguments(arguments, 1, 0));
|
|
else if constexpr (std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "LOGICAL ERROR: It is a bug.");
|
|
else if constexpr (to_decimal)
|
|
{
|
|
UInt64 scale = extractToDecimalScale(arguments[1]);
|
|
res = createDecimalMaxPrecision<typename ToDataType::FieldType>(scale);
|
|
if (!res)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Something wrong with toDecimalNNOrZero() or toDecimalNNOrNull()");
|
|
}
|
|
else
|
|
res = std::make_shared<ToDataType>();
|
|
}
|
|
|
|
if constexpr (exception_mode == ConvertFromStringExceptionMode::Null)
|
|
res = std::make_shared<DataTypeNullable>(res);
|
|
|
|
return res;
|
|
}
|
|
|
|
template <typename ConvertToDataType>
|
|
ColumnPtr executeInternal(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count, UInt32 scale = 0) const
|
|
{
|
|
const IDataType * from_type = arguments[0].type.get();
|
|
|
|
if (checkAndGetDataType<DataTypeString>(from_type))
|
|
{
|
|
return ConvertThroughParsing<DataTypeString, ConvertToDataType, Name, exception_mode, parsing_mode>::execute(
|
|
arguments, result_type, input_rows_count, scale);
|
|
}
|
|
else if (checkAndGetDataType<DataTypeFixedString>(from_type))
|
|
{
|
|
return ConvertThroughParsing<DataTypeFixedString, ConvertToDataType, Name, exception_mode, parsing_mode>::execute(
|
|
arguments, result_type, input_rows_count, scale);
|
|
}
|
|
|
|
return nullptr;
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
|
{
|
|
ColumnPtr result_column;
|
|
|
|
if constexpr (to_decimal)
|
|
result_column = executeInternal<ToDataType>(arguments, result_type, input_rows_count,
|
|
assert_cast<const ToDataType &>(*removeNullable(result_type)).getScale());
|
|
else
|
|
{
|
|
if (isDateTime64<Name, ToDataType>(arguments))
|
|
{
|
|
UInt64 scale = to_datetime64 ? DataTypeDateTime64::default_scale : 0;
|
|
if (arguments.size() > 1)
|
|
scale = extractToDecimalScale(arguments[1]);
|
|
|
|
if (scale == 0)
|
|
result_column = executeInternal<DataTypeDateTime>(arguments, result_type, input_rows_count);
|
|
else
|
|
{
|
|
result_column = executeInternal<DataTypeDateTime64>(arguments, result_type, input_rows_count, static_cast<UInt32>(scale));
|
|
}
|
|
}
|
|
else
|
|
{
|
|
result_column = executeInternal<ToDataType>(arguments, result_type, input_rows_count);
|
|
}
|
|
}
|
|
|
|
if (!result_column)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of argument of function {}. "
|
|
"Only String or FixedString argument is accepted for try-conversion function. For other arguments, "
|
|
"use function without 'orZero' or 'orNull'.", arguments[0].type->getName(), getName());
|
|
|
|
return result_column;
|
|
}
|
|
};
|
|
|
|
|
|
/// Monotonicity.
|
|
|
|
struct PositiveMonotonicity
|
|
{
|
|
static bool has() { return true; }
|
|
static IFunction::Monotonicity get(const IDataType &, const Field &, const Field &)
|
|
{
|
|
return { .is_monotonic = true };
|
|
}
|
|
};
|
|
|
|
struct UnknownMonotonicity
|
|
{
|
|
static bool has() { return false; }
|
|
static IFunction::Monotonicity get(const IDataType &, const Field &, const Field &)
|
|
{
|
|
return { };
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct ToNumberMonotonicity
|
|
{
|
|
static bool has() { return true; }
|
|
|
|
static UInt64 divideByRangeOfType(UInt64 x)
|
|
{
|
|
if constexpr (sizeof(T) < sizeof(UInt64))
|
|
return x >> (sizeof(T) * 8);
|
|
else
|
|
return 0;
|
|
}
|
|
|
|
static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right)
|
|
{
|
|
if (!type.isValueRepresentedByNumber())
|
|
return {};
|
|
|
|
/// If type is same, the conversion is always monotonic.
|
|
/// (Enum has separate case, because it is different data type)
|
|
if (checkAndGetDataType<DataTypeNumber<T>>(&type) ||
|
|
checkAndGetDataType<DataTypeEnum<T>>(&type))
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
|
|
/// Float cases.
|
|
|
|
/// When converting to Float, the conversion is always monotonic.
|
|
if constexpr (std::is_floating_point_v<T>)
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
|
|
const auto * low_cardinality = typeid_cast<const DataTypeLowCardinality *>(&type);
|
|
const IDataType * low_cardinality_dictionary_type = nullptr;
|
|
if (low_cardinality)
|
|
low_cardinality_dictionary_type = low_cardinality->getDictionaryType().get();
|
|
|
|
WhichDataType which_type(type);
|
|
WhichDataType which_inner_type = low_cardinality
|
|
? WhichDataType(low_cardinality_dictionary_type)
|
|
: WhichDataType(type);
|
|
|
|
/// If converting from Float, for monotonicity, arguments must fit in range of result type.
|
|
if (which_inner_type.isFloat())
|
|
{
|
|
if (left.isNull() || right.isNull())
|
|
return {};
|
|
|
|
Float64 left_float = left.get<Float64>();
|
|
Float64 right_float = right.get<Float64>();
|
|
|
|
if (left_float >= static_cast<Float64>(std::numeric_limits<T>::min())
|
|
&& left_float <= static_cast<Float64>(std::numeric_limits<T>::max())
|
|
&& right_float >= static_cast<Float64>(std::numeric_limits<T>::min())
|
|
&& right_float <= static_cast<Float64>(std::numeric_limits<T>::max()))
|
|
return { .is_monotonic = true };
|
|
|
|
return {};
|
|
}
|
|
|
|
/// Integer cases.
|
|
|
|
/// Only support types represented by native integers.
|
|
/// It can be extended to big integers, decimals and DateTime64 later.
|
|
/// By the way, NULLs are representing unbounded ranges.
|
|
if (!((left.isNull() || left.getType() == Field::Types::UInt64 || left.getType() == Field::Types::Int64)
|
|
&& (right.isNull() || right.getType() == Field::Types::UInt64 || right.getType() == Field::Types::Int64)))
|
|
return {};
|
|
|
|
const bool from_is_unsigned = type.isValueRepresentedByUnsignedInteger();
|
|
const bool to_is_unsigned = is_unsigned_v<T>;
|
|
|
|
const size_t size_of_from = type.getSizeOfValueInMemory();
|
|
const size_t size_of_to = sizeof(T);
|
|
|
|
const bool left_in_first_half = left.isNull()
|
|
? from_is_unsigned
|
|
: (left.get<Int64>() >= 0);
|
|
|
|
const bool right_in_first_half = right.isNull()
|
|
? !from_is_unsigned
|
|
: (right.get<Int64>() >= 0);
|
|
|
|
/// Size of type is the same.
|
|
if (size_of_from == size_of_to)
|
|
{
|
|
if (from_is_unsigned == to_is_unsigned)
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
|
|
if (left_in_first_half == right_in_first_half)
|
|
return { .is_monotonic = true };
|
|
|
|
return {};
|
|
}
|
|
|
|
/// Size of type is expanded.
|
|
if (size_of_from < size_of_to)
|
|
{
|
|
if (from_is_unsigned == to_is_unsigned)
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
|
|
if (!to_is_unsigned)
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
|
|
/// signed -> unsigned. If arguments from the same half, then function is monotonic.
|
|
if (left_in_first_half == right_in_first_half)
|
|
return { .is_monotonic = true };
|
|
|
|
return {};
|
|
}
|
|
|
|
/// Size of type is shrunk.
|
|
if (size_of_from > size_of_to)
|
|
{
|
|
/// Function cannot be monotonic on unbounded ranges.
|
|
if (left.isNull() || right.isNull())
|
|
return {};
|
|
|
|
/// Function cannot be monotonic when left and right are not on the same ranges.
|
|
if (divideByRangeOfType(left.get<UInt64>()) != divideByRangeOfType(right.get<UInt64>()))
|
|
return {};
|
|
|
|
if (to_is_unsigned)
|
|
return { .is_monotonic = true };
|
|
else
|
|
{
|
|
// If To is signed, it's possible that the signedness is different after conversion. So we check it explicitly.
|
|
const bool is_monotonic = (T(left.get<UInt64>()) >= 0) == (T(right.get<UInt64>()) >= 0);
|
|
|
|
return { .is_monotonic = is_monotonic };
|
|
}
|
|
}
|
|
|
|
UNREACHABLE();
|
|
}
|
|
};
|
|
|
|
struct ToDateMonotonicity
|
|
{
|
|
static bool has() { return true; }
|
|
|
|
static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right)
|
|
{
|
|
auto which = WhichDataType(type);
|
|
if (which.isDateOrDate32() || which.isDateTime() || which.isDateTime64() || which.isInt8() || which.isInt16() || which.isUInt8() || which.isUInt16())
|
|
{
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
}
|
|
else if (
|
|
((left.getType() == Field::Types::UInt64 || left.isNull()) && (right.getType() == Field::Types::UInt64 || right.isNull())
|
|
&& ((left.isNull() || left.get<UInt64>() < 0xFFFF) && (right.isNull() || right.get<UInt64>() >= 0xFFFF)))
|
|
|| ((left.getType() == Field::Types::Int64 || left.isNull()) && (right.getType() == Field::Types::Int64 || right.isNull())
|
|
&& ((left.isNull() || left.get<Int64>() < 0xFFFF) && (right.isNull() || right.get<Int64>() >= 0xFFFF)))
|
|
|| (((left.getType() == Field::Types::Float64 || left.isNull()) && (right.getType() == Field::Types::Float64 || right.isNull())
|
|
&& ((left.isNull() || left.get<Float64>() < 0xFFFF) && (right.isNull() || right.get<Float64>() >= 0xFFFF))))
|
|
|| !isNativeNumber(type))
|
|
{
|
|
return {};
|
|
}
|
|
else
|
|
{
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
}
|
|
}
|
|
};
|
|
|
|
struct ToDateTimeMonotonicity
|
|
{
|
|
static bool has() { return true; }
|
|
|
|
static IFunction::Monotonicity get(const IDataType & type, const Field &, const Field &)
|
|
{
|
|
if (type.isValueRepresentedByNumber())
|
|
return { .is_monotonic = true, .is_always_monotonic = true };
|
|
else
|
|
return {};
|
|
}
|
|
};
|
|
|
|
/** The monotonicity for the `toString` function is mainly determined for test purposes.
|
|
* It is doubtful that anyone is looking to optimize queries with conditions `toString(CounterID) = 34`.
|
|
*/
|
|
struct ToStringMonotonicity
|
|
{
|
|
static bool has() { return true; }
|
|
|
|
static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right)
|
|
{
|
|
IFunction::Monotonicity positive{ .is_monotonic = true };
|
|
IFunction::Monotonicity not_monotonic;
|
|
|
|
const auto * type_ptr = &type;
|
|
if (const auto * low_cardinality_type = checkAndGetDataType<DataTypeLowCardinality>(type_ptr))
|
|
type_ptr = low_cardinality_type->getDictionaryType().get();
|
|
|
|
/// Order on enum values (which is the order on integers) is completely arbitrary in respect to the order on strings.
|
|
if (WhichDataType(type).isEnum())
|
|
return not_monotonic;
|
|
|
|
/// `toString` function is monotonous if the argument is Date or Date32 or DateTime or String, or non-negative numbers with the same number of symbols.
|
|
if (checkDataTypes<DataTypeDate, DataTypeDate32, DataTypeDateTime, DataTypeString>(type_ptr))
|
|
return positive;
|
|
|
|
if (left.isNull() || right.isNull())
|
|
return {};
|
|
|
|
if (left.getType() == Field::Types::UInt64
|
|
&& right.getType() == Field::Types::UInt64)
|
|
{
|
|
return (left.get<Int64>() == 0 && right.get<Int64>() == 0)
|
|
|| (floor(log10(left.get<UInt64>())) == floor(log10(right.get<UInt64>())))
|
|
? positive : not_monotonic;
|
|
}
|
|
|
|
if (left.getType() == Field::Types::Int64
|
|
&& right.getType() == Field::Types::Int64)
|
|
{
|
|
return (left.get<Int64>() == 0 && right.get<Int64>() == 0)
|
|
|| (left.get<Int64>() > 0 && right.get<Int64>() > 0 && floor(log10(left.get<Int64>())) == floor(log10(right.get<Int64>())))
|
|
? positive : not_monotonic;
|
|
}
|
|
|
|
return not_monotonic;
|
|
}
|
|
};
|
|
|
|
|
|
struct NameToUInt8 { static constexpr auto name = "toUInt8"; };
|
|
struct NameToUInt16 { static constexpr auto name = "toUInt16"; };
|
|
struct NameToUInt32 { static constexpr auto name = "toUInt32"; };
|
|
struct NameToUInt64 { static constexpr auto name = "toUInt64"; };
|
|
struct NameToUInt128 { static constexpr auto name = "toUInt128"; };
|
|
struct NameToUInt256 { static constexpr auto name = "toUInt256"; };
|
|
struct NameToInt8 { static constexpr auto name = "toInt8"; };
|
|
struct NameToInt16 { static constexpr auto name = "toInt16"; };
|
|
struct NameToInt32 { static constexpr auto name = "toInt32"; };
|
|
struct NameToInt64 { static constexpr auto name = "toInt64"; };
|
|
struct NameToInt128 { static constexpr auto name = "toInt128"; };
|
|
struct NameToInt256 { static constexpr auto name = "toInt256"; };
|
|
struct NameToFloat32 { static constexpr auto name = "toFloat32"; };
|
|
struct NameToFloat64 { static constexpr auto name = "toFloat64"; };
|
|
struct NameToUUID { static constexpr auto name = "toUUID"; };
|
|
struct NameToIPv4 { static constexpr auto name = "toIPv4"; };
|
|
struct NameToIPv6 { static constexpr auto name = "toIPv6"; };
|
|
|
|
using FunctionToUInt8 = FunctionConvert<DataTypeUInt8, NameToUInt8, ToNumberMonotonicity<UInt8>>;
|
|
using FunctionToUInt16 = FunctionConvert<DataTypeUInt16, NameToUInt16, ToNumberMonotonicity<UInt16>>;
|
|
using FunctionToUInt32 = FunctionConvert<DataTypeUInt32, NameToUInt32, ToNumberMonotonicity<UInt32>>;
|
|
using FunctionToUInt64 = FunctionConvert<DataTypeUInt64, NameToUInt64, ToNumberMonotonicity<UInt64>>;
|
|
using FunctionToUInt128 = FunctionConvert<DataTypeUInt128, NameToUInt128, ToNumberMonotonicity<UInt128>>;
|
|
using FunctionToUInt256 = FunctionConvert<DataTypeUInt256, NameToUInt256, ToNumberMonotonicity<UInt256>>;
|
|
using FunctionToInt8 = FunctionConvert<DataTypeInt8, NameToInt8, ToNumberMonotonicity<Int8>>;
|
|
using FunctionToInt16 = FunctionConvert<DataTypeInt16, NameToInt16, ToNumberMonotonicity<Int16>>;
|
|
using FunctionToInt32 = FunctionConvert<DataTypeInt32, NameToInt32, ToNumberMonotonicity<Int32>>;
|
|
using FunctionToInt64 = FunctionConvert<DataTypeInt64, NameToInt64, ToNumberMonotonicity<Int64>>;
|
|
using FunctionToInt128 = FunctionConvert<DataTypeInt128, NameToInt128, ToNumberMonotonicity<Int128>>;
|
|
using FunctionToInt256 = FunctionConvert<DataTypeInt256, NameToInt256, ToNumberMonotonicity<Int256>>;
|
|
using FunctionToFloat32 = FunctionConvert<DataTypeFloat32, NameToFloat32, ToNumberMonotonicity<Float32>>;
|
|
using FunctionToFloat64 = FunctionConvert<DataTypeFloat64, NameToFloat64, ToNumberMonotonicity<Float64>>;
|
|
using FunctionToDate = FunctionConvert<DataTypeDate, NameToDate, ToDateMonotonicity>;
|
|
using FunctionToDate32 = FunctionConvert<DataTypeDate32, NameToDate32, ToDateMonotonicity>;
|
|
using FunctionToDateTime = FunctionConvert<DataTypeDateTime, NameToDateTime, ToDateTimeMonotonicity>;
|
|
using FunctionToDateTime32 = FunctionConvert<DataTypeDateTime, NameToDateTime32, ToDateTimeMonotonicity>;
|
|
using FunctionToDateTime64 = FunctionConvert<DataTypeDateTime64, NameToDateTime64, ToDateTimeMonotonicity>;
|
|
using FunctionToUUID = FunctionConvert<DataTypeUUID, NameToUUID, ToNumberMonotonicity<UInt128>>;
|
|
using FunctionToIPv4 = FunctionConvert<DataTypeIPv4, NameToIPv4, ToNumberMonotonicity<UInt32>>;
|
|
using FunctionToIPv6 = FunctionConvert<DataTypeIPv6, NameToIPv6, ToNumberMonotonicity<UInt128>>;
|
|
using FunctionToString = FunctionConvert<DataTypeString, NameToString, ToStringMonotonicity>;
|
|
using FunctionToUnixTimestamp = FunctionConvert<DataTypeUInt32, NameToUnixTimestamp, ToNumberMonotonicity<UInt32>>;
|
|
using FunctionToDecimal32 = FunctionConvert<DataTypeDecimal<Decimal32>, NameToDecimal32, UnknownMonotonicity>;
|
|
using FunctionToDecimal64 = FunctionConvert<DataTypeDecimal<Decimal64>, NameToDecimal64, UnknownMonotonicity>;
|
|
using FunctionToDecimal128 = FunctionConvert<DataTypeDecimal<Decimal128>, NameToDecimal128, UnknownMonotonicity>;
|
|
using FunctionToDecimal256 = FunctionConvert<DataTypeDecimal<Decimal256>, NameToDecimal256, UnknownMonotonicity>;
|
|
|
|
|
|
template <typename DataType> struct FunctionTo;
|
|
|
|
template <> struct FunctionTo<DataTypeUInt8> { using Type = FunctionToUInt8; };
|
|
template <> struct FunctionTo<DataTypeUInt16> { using Type = FunctionToUInt16; };
|
|
template <> struct FunctionTo<DataTypeUInt32> { using Type = FunctionToUInt32; };
|
|
template <> struct FunctionTo<DataTypeUInt64> { using Type = FunctionToUInt64; };
|
|
template <> struct FunctionTo<DataTypeUInt128> { using Type = FunctionToUInt128; };
|
|
template <> struct FunctionTo<DataTypeUInt256> { using Type = FunctionToUInt256; };
|
|
template <> struct FunctionTo<DataTypeInt8> { using Type = FunctionToInt8; };
|
|
template <> struct FunctionTo<DataTypeInt16> { using Type = FunctionToInt16; };
|
|
template <> struct FunctionTo<DataTypeInt32> { using Type = FunctionToInt32; };
|
|
template <> struct FunctionTo<DataTypeInt64> { using Type = FunctionToInt64; };
|
|
template <> struct FunctionTo<DataTypeInt128> { using Type = FunctionToInt128; };
|
|
template <> struct FunctionTo<DataTypeInt256> { using Type = FunctionToInt256; };
|
|
template <> struct FunctionTo<DataTypeFloat32> { using Type = FunctionToFloat32; };
|
|
template <> struct FunctionTo<DataTypeFloat64> { using Type = FunctionToFloat64; };
|
|
template <> struct FunctionTo<DataTypeDate> { using Type = FunctionToDate; };
|
|
template <> struct FunctionTo<DataTypeDate32> { using Type = FunctionToDate32; };
|
|
template <> struct FunctionTo<DataTypeDateTime> { using Type = FunctionToDateTime; };
|
|
template <> struct FunctionTo<DataTypeDateTime64> { using Type = FunctionToDateTime64; };
|
|
template <> struct FunctionTo<DataTypeUUID> { using Type = FunctionToUUID; };
|
|
template <> struct FunctionTo<DataTypeIPv4> { using Type = FunctionToIPv4; };
|
|
template <> struct FunctionTo<DataTypeIPv6> { using Type = FunctionToIPv6; };
|
|
template <> struct FunctionTo<DataTypeString> { using Type = FunctionToString; };
|
|
template <> struct FunctionTo<DataTypeFixedString> { using Type = FunctionToFixedString; };
|
|
template <> struct FunctionTo<DataTypeDecimal<Decimal32>> { using Type = FunctionToDecimal32; };
|
|
template <> struct FunctionTo<DataTypeDecimal<Decimal64>> { using Type = FunctionToDecimal64; };
|
|
template <> struct FunctionTo<DataTypeDecimal<Decimal128>> { using Type = FunctionToDecimal128; };
|
|
template <> struct FunctionTo<DataTypeDecimal<Decimal256>> { using Type = FunctionToDecimal256; };
|
|
|
|
template <typename FieldType> struct FunctionTo<DataTypeEnum<FieldType>>
|
|
: FunctionTo<DataTypeNumber<FieldType>>
|
|
{
|
|
};
|
|
|
|
struct NameToUInt8OrZero { static constexpr auto name = "toUInt8OrZero"; };
|
|
struct NameToUInt16OrZero { static constexpr auto name = "toUInt16OrZero"; };
|
|
struct NameToUInt32OrZero { static constexpr auto name = "toUInt32OrZero"; };
|
|
struct NameToUInt64OrZero { static constexpr auto name = "toUInt64OrZero"; };
|
|
struct NameToUInt128OrZero { static constexpr auto name = "toUInt128OrZero"; };
|
|
struct NameToUInt256OrZero { static constexpr auto name = "toUInt256OrZero"; };
|
|
struct NameToInt8OrZero { static constexpr auto name = "toInt8OrZero"; };
|
|
struct NameToInt16OrZero { static constexpr auto name = "toInt16OrZero"; };
|
|
struct NameToInt32OrZero { static constexpr auto name = "toInt32OrZero"; };
|
|
struct NameToInt64OrZero { static constexpr auto name = "toInt64OrZero"; };
|
|
struct NameToInt128OrZero { static constexpr auto name = "toInt128OrZero"; };
|
|
struct NameToInt256OrZero { static constexpr auto name = "toInt256OrZero"; };
|
|
struct NameToFloat32OrZero { static constexpr auto name = "toFloat32OrZero"; };
|
|
struct NameToFloat64OrZero { static constexpr auto name = "toFloat64OrZero"; };
|
|
struct NameToDateOrZero { static constexpr auto name = "toDateOrZero"; };
|
|
struct NameToDate32OrZero { static constexpr auto name = "toDate32OrZero"; };
|
|
struct NameToDateTimeOrZero { static constexpr auto name = "toDateTimeOrZero"; };
|
|
struct NameToDateTime64OrZero { static constexpr auto name = "toDateTime64OrZero"; };
|
|
struct NameToDecimal32OrZero { static constexpr auto name = "toDecimal32OrZero"; };
|
|
struct NameToDecimal64OrZero { static constexpr auto name = "toDecimal64OrZero"; };
|
|
struct NameToDecimal128OrZero { static constexpr auto name = "toDecimal128OrZero"; };
|
|
struct NameToDecimal256OrZero { static constexpr auto name = "toDecimal256OrZero"; };
|
|
struct NameToUUIDOrZero { static constexpr auto name = "toUUIDOrZero"; };
|
|
struct NameToIPv4OrZero { static constexpr auto name = "toIPv4OrZero"; };
|
|
struct NameToIPv6OrZero { static constexpr auto name = "toIPv6OrZero"; };
|
|
|
|
using FunctionToUInt8OrZero = FunctionConvertFromString<DataTypeUInt8, NameToUInt8OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUInt16OrZero = FunctionConvertFromString<DataTypeUInt16, NameToUInt16OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUInt32OrZero = FunctionConvertFromString<DataTypeUInt32, NameToUInt32OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUInt64OrZero = FunctionConvertFromString<DataTypeUInt64, NameToUInt64OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUInt128OrZero = FunctionConvertFromString<DataTypeUInt128, NameToUInt128OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUInt256OrZero = FunctionConvertFromString<DataTypeUInt256, NameToUInt256OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt8OrZero = FunctionConvertFromString<DataTypeInt8, NameToInt8OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt16OrZero = FunctionConvertFromString<DataTypeInt16, NameToInt16OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt32OrZero = FunctionConvertFromString<DataTypeInt32, NameToInt32OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt64OrZero = FunctionConvertFromString<DataTypeInt64, NameToInt64OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt128OrZero = FunctionConvertFromString<DataTypeInt128, NameToInt128OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToInt256OrZero = FunctionConvertFromString<DataTypeInt256, NameToInt256OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToFloat32OrZero = FunctionConvertFromString<DataTypeFloat32, NameToFloat32OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToFloat64OrZero = FunctionConvertFromString<DataTypeFloat64, NameToFloat64OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDateOrZero = FunctionConvertFromString<DataTypeDate, NameToDateOrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDate32OrZero = FunctionConvertFromString<DataTypeDate32, NameToDate32OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDateTimeOrZero = FunctionConvertFromString<DataTypeDateTime, NameToDateTimeOrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDateTime64OrZero = FunctionConvertFromString<DataTypeDateTime64, NameToDateTime64OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDecimal32OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal32>, NameToDecimal32OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDecimal64OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal64>, NameToDecimal64OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDecimal128OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal128>, NameToDecimal128OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToDecimal256OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal256>, NameToDecimal256OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToUUIDOrZero = FunctionConvertFromString<DataTypeUUID, NameToUUIDOrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToIPv4OrZero = FunctionConvertFromString<DataTypeIPv4, NameToIPv4OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
using FunctionToIPv6OrZero = FunctionConvertFromString<DataTypeIPv6, NameToIPv6OrZero, ConvertFromStringExceptionMode::Zero>;
|
|
|
|
struct NameToUInt8OrNull { static constexpr auto name = "toUInt8OrNull"; };
|
|
struct NameToUInt16OrNull { static constexpr auto name = "toUInt16OrNull"; };
|
|
struct NameToUInt32OrNull { static constexpr auto name = "toUInt32OrNull"; };
|
|
struct NameToUInt64OrNull { static constexpr auto name = "toUInt64OrNull"; };
|
|
struct NameToUInt128OrNull { static constexpr auto name = "toUInt128OrNull"; };
|
|
struct NameToUInt256OrNull { static constexpr auto name = "toUInt256OrNull"; };
|
|
struct NameToInt8OrNull { static constexpr auto name = "toInt8OrNull"; };
|
|
struct NameToInt16OrNull { static constexpr auto name = "toInt16OrNull"; };
|
|
struct NameToInt32OrNull { static constexpr auto name = "toInt32OrNull"; };
|
|
struct NameToInt64OrNull { static constexpr auto name = "toInt64OrNull"; };
|
|
struct NameToInt128OrNull { static constexpr auto name = "toInt128OrNull"; };
|
|
struct NameToInt256OrNull { static constexpr auto name = "toInt256OrNull"; };
|
|
struct NameToFloat32OrNull { static constexpr auto name = "toFloat32OrNull"; };
|
|
struct NameToFloat64OrNull { static constexpr auto name = "toFloat64OrNull"; };
|
|
struct NameToDateOrNull { static constexpr auto name = "toDateOrNull"; };
|
|
struct NameToDate32OrNull { static constexpr auto name = "toDate32OrNull"; };
|
|
struct NameToDateTimeOrNull { static constexpr auto name = "toDateTimeOrNull"; };
|
|
struct NameToDateTime64OrNull { static constexpr auto name = "toDateTime64OrNull"; };
|
|
struct NameToDecimal32OrNull { static constexpr auto name = "toDecimal32OrNull"; };
|
|
struct NameToDecimal64OrNull { static constexpr auto name = "toDecimal64OrNull"; };
|
|
struct NameToDecimal128OrNull { static constexpr auto name = "toDecimal128OrNull"; };
|
|
struct NameToDecimal256OrNull { static constexpr auto name = "toDecimal256OrNull"; };
|
|
struct NameToUUIDOrNull { static constexpr auto name = "toUUIDOrNull"; };
|
|
struct NameToIPv4OrNull { static constexpr auto name = "toIPv4OrNull"; };
|
|
struct NameToIPv6OrNull { static constexpr auto name = "toIPv6OrNull"; };
|
|
|
|
using FunctionToUInt8OrNull = FunctionConvertFromString<DataTypeUInt8, NameToUInt8OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUInt16OrNull = FunctionConvertFromString<DataTypeUInt16, NameToUInt16OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUInt32OrNull = FunctionConvertFromString<DataTypeUInt32, NameToUInt32OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUInt64OrNull = FunctionConvertFromString<DataTypeUInt64, NameToUInt64OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUInt128OrNull = FunctionConvertFromString<DataTypeUInt128, NameToUInt128OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUInt256OrNull = FunctionConvertFromString<DataTypeUInt256, NameToUInt256OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt8OrNull = FunctionConvertFromString<DataTypeInt8, NameToInt8OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt16OrNull = FunctionConvertFromString<DataTypeInt16, NameToInt16OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt32OrNull = FunctionConvertFromString<DataTypeInt32, NameToInt32OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt64OrNull = FunctionConvertFromString<DataTypeInt64, NameToInt64OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt128OrNull = FunctionConvertFromString<DataTypeInt128, NameToInt128OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToInt256OrNull = FunctionConvertFromString<DataTypeInt256, NameToInt256OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToFloat32OrNull = FunctionConvertFromString<DataTypeFloat32, NameToFloat32OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToFloat64OrNull = FunctionConvertFromString<DataTypeFloat64, NameToFloat64OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDateOrNull = FunctionConvertFromString<DataTypeDate, NameToDateOrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDate32OrNull = FunctionConvertFromString<DataTypeDate32, NameToDate32OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDateTimeOrNull = FunctionConvertFromString<DataTypeDateTime, NameToDateTimeOrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDateTime64OrNull = FunctionConvertFromString<DataTypeDateTime64, NameToDateTime64OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDecimal32OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal32>, NameToDecimal32OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDecimal64OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal64>, NameToDecimal64OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDecimal128OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal128>, NameToDecimal128OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToDecimal256OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal256>, NameToDecimal256OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToUUIDOrNull = FunctionConvertFromString<DataTypeUUID, NameToUUIDOrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToIPv4OrNull = FunctionConvertFromString<DataTypeIPv4, NameToIPv4OrNull, ConvertFromStringExceptionMode::Null>;
|
|
using FunctionToIPv6OrNull = FunctionConvertFromString<DataTypeIPv6, NameToIPv6OrNull, ConvertFromStringExceptionMode::Null>;
|
|
|
|
struct NameParseDateTimeBestEffort { static constexpr auto name = "parseDateTimeBestEffort"; };
|
|
struct NameParseDateTimeBestEffortOrZero { static constexpr auto name = "parseDateTimeBestEffortOrZero"; };
|
|
struct NameParseDateTimeBestEffortOrNull { static constexpr auto name = "parseDateTimeBestEffortOrNull"; };
|
|
struct NameParseDateTimeBestEffortUS { static constexpr auto name = "parseDateTimeBestEffortUS"; };
|
|
struct NameParseDateTimeBestEffortUSOrZero { static constexpr auto name = "parseDateTimeBestEffortUSOrZero"; };
|
|
struct NameParseDateTimeBestEffortUSOrNull { static constexpr auto name = "parseDateTimeBestEffortUSOrNull"; };
|
|
struct NameParseDateTime32BestEffort { static constexpr auto name = "parseDateTime32BestEffort"; };
|
|
struct NameParseDateTime32BestEffortOrZero { static constexpr auto name = "parseDateTime32BestEffortOrZero"; };
|
|
struct NameParseDateTime32BestEffortOrNull { static constexpr auto name = "parseDateTime32BestEffortOrNull"; };
|
|
struct NameParseDateTime64BestEffort { static constexpr auto name = "parseDateTime64BestEffort"; };
|
|
struct NameParseDateTime64BestEffortOrZero { static constexpr auto name = "parseDateTime64BestEffortOrZero"; };
|
|
struct NameParseDateTime64BestEffortOrNull { static constexpr auto name = "parseDateTime64BestEffortOrNull"; };
|
|
struct NameParseDateTime64BestEffortUS { static constexpr auto name = "parseDateTime64BestEffortUS"; };
|
|
struct NameParseDateTime64BestEffortUSOrZero { static constexpr auto name = "parseDateTime64BestEffortUSOrZero"; };
|
|
struct NameParseDateTime64BestEffortUSOrNull { static constexpr auto name = "parseDateTime64BestEffortUSOrNull"; };
|
|
|
|
|
|
using FunctionParseDateTimeBestEffort = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffort, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTimeBestEffortOrZero = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffortOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTimeBestEffortOrNull = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffortOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffort>;
|
|
|
|
using FunctionParseDateTimeBestEffortUS = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffortUS, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffortUS>;
|
|
using FunctionParseDateTimeBestEffortUSOrZero = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffortUSOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffortUS>;
|
|
using FunctionParseDateTimeBestEffortUSOrNull = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTimeBestEffortUSOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffortUS>;
|
|
|
|
using FunctionParseDateTime32BestEffort = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTime32BestEffort, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTime32BestEffortOrZero = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTime32BestEffortOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTime32BestEffortOrNull = FunctionConvertFromString<
|
|
DataTypeDateTime, NameParseDateTime32BestEffortOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffort>;
|
|
|
|
using FunctionParseDateTime64BestEffort = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffort, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTime64BestEffortOrZero = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffortOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffort>;
|
|
using FunctionParseDateTime64BestEffortOrNull = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffortOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffort>;
|
|
|
|
using FunctionParseDateTime64BestEffortUS = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffortUS, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffortUS>;
|
|
using FunctionParseDateTime64BestEffortUSOrZero = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffortUSOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffortUS>;
|
|
using FunctionParseDateTime64BestEffortUSOrNull = FunctionConvertFromString<
|
|
DataTypeDateTime64, NameParseDateTime64BestEffortUSOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffortUS>;
|
|
|
|
|
|
class ExecutableFunctionCast : public IExecutableFunction
|
|
{
|
|
public:
|
|
using WrapperType = std::function<ColumnPtr(ColumnsWithTypeAndName &, const DataTypePtr &, const ColumnNullable *, size_t)>;
|
|
|
|
struct Diagnostic
|
|
{
|
|
std::string column_from;
|
|
std::string column_to;
|
|
};
|
|
|
|
explicit ExecutableFunctionCast(
|
|
WrapperType && wrapper_function_, const char * name_, std::optional<Diagnostic> diagnostic_)
|
|
: wrapper_function(std::move(wrapper_function_)), name(name_), diagnostic(std::move(diagnostic_)) {}
|
|
|
|
String getName() const override { return name; }
|
|
|
|
protected:
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
|
{
|
|
/// drop second argument, pass others
|
|
ColumnsWithTypeAndName new_arguments{arguments.front()};
|
|
if (arguments.size() > 2)
|
|
new_arguments.insert(std::end(new_arguments), std::next(std::begin(arguments), 2), std::end(arguments));
|
|
|
|
try
|
|
{
|
|
return wrapper_function(new_arguments, result_type, nullptr, input_rows_count);
|
|
}
|
|
catch (Exception & e)
|
|
{
|
|
if (diagnostic)
|
|
e.addMessage("while converting source column " + backQuoteIfNeed(diagnostic->column_from) +
|
|
" to destination column " + backQuoteIfNeed(diagnostic->column_to));
|
|
throw;
|
|
}
|
|
}
|
|
|
|
bool useDefaultImplementationForNulls() const override { return false; }
|
|
/// CAST(Nothing, T) -> T
|
|
bool useDefaultImplementationForNothing() const override { return false; }
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
bool useDefaultImplementationForLowCardinalityColumns() const override { return false; }
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; }
|
|
|
|
private:
|
|
WrapperType wrapper_function;
|
|
const char * name;
|
|
std::optional<Diagnostic> diagnostic;
|
|
};
|
|
|
|
struct CastName { static constexpr auto name = "CAST"; };
|
|
struct CastInternalName { static constexpr auto name = "_CAST"; };
|
|
|
|
enum class CastType
|
|
{
|
|
nonAccurate,
|
|
accurate,
|
|
accurateOrNull
|
|
};
|
|
|
|
class FunctionCastBase : public IFunctionBase
|
|
{
|
|
public:
|
|
using MonotonicityForRange = std::function<Monotonicity(const IDataType &, const Field &, const Field &)>;
|
|
using Diagnostic = ExecutableFunctionCast::Diagnostic;
|
|
};
|
|
|
|
template <typename FunctionName>
|
|
class FunctionCast final : public FunctionCastBase
|
|
{
|
|
public:
|
|
using WrapperType = std::function<ColumnPtr(ColumnsWithTypeAndName &, const DataTypePtr &, const ColumnNullable *, size_t)>;
|
|
|
|
FunctionCast(ContextPtr context_
|
|
, const char * cast_name_
|
|
, MonotonicityForRange && monotonicity_for_range_
|
|
, const DataTypes & argument_types_
|
|
, const DataTypePtr & return_type_
|
|
, std::optional<Diagnostic> diagnostic_
|
|
, CastType cast_type_)
|
|
: cast_name(cast_name_), monotonicity_for_range(std::move(monotonicity_for_range_))
|
|
, argument_types(argument_types_), return_type(return_type_), diagnostic(std::move(diagnostic_))
|
|
, cast_type(cast_type_)
|
|
, context(context_)
|
|
{
|
|
}
|
|
|
|
const DataTypes & getArgumentTypes() const override { return argument_types; }
|
|
const DataTypePtr & getResultType() const override { return return_type; }
|
|
|
|
ExecutableFunctionPtr prepare(const ColumnsWithTypeAndName & /*sample_columns*/) const override
|
|
{
|
|
try
|
|
{
|
|
return std::make_unique<ExecutableFunctionCast>(
|
|
prepareUnpackDictionaries(getArgumentTypes()[0], getResultType()), cast_name, diagnostic);
|
|
}
|
|
catch (Exception & e)
|
|
{
|
|
if (diagnostic)
|
|
e.addMessage("while converting source column " + backQuoteIfNeed(diagnostic->column_from) +
|
|
" to destination column " + backQuoteIfNeed(diagnostic->column_to));
|
|
throw;
|
|
}
|
|
}
|
|
|
|
String getName() const override { return cast_name; }
|
|
|
|
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
|
|
|
|
bool hasInformationAboutMonotonicity() const override
|
|
{
|
|
return static_cast<bool>(monotonicity_for_range);
|
|
}
|
|
|
|
Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override
|
|
{
|
|
return monotonicity_for_range(type, left, right);
|
|
}
|
|
|
|
private:
|
|
|
|
const char * cast_name;
|
|
MonotonicityForRange monotonicity_for_range;
|
|
|
|
DataTypes argument_types;
|
|
DataTypePtr return_type;
|
|
|
|
std::optional<Diagnostic> diagnostic;
|
|
CastType cast_type;
|
|
ContextPtr context;
|
|
|
|
static WrapperType createFunctionAdaptor(FunctionPtr function, const DataTypePtr & from_type)
|
|
{
|
|
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);
|
|
};
|
|
}
|
|
|
|
static WrapperType createToNullableColumnWrapper()
|
|
{
|
|
return [] (ColumnsWithTypeAndName &, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count)
|
|
{
|
|
ColumnPtr res = result_type->createColumn();
|
|
ColumnUInt8::Ptr col_null_map_to = ColumnUInt8::create(input_rows_count, true);
|
|
return ColumnNullable::create(res->cloneResized(input_rows_count), std::move(col_null_map_to));
|
|
};
|
|
}
|
|
|
|
template <typename ToDataType>
|
|
WrapperType createWrapper(const DataTypePtr & from_type, const ToDataType * const to_type, bool requested_result_is_nullable) const
|
|
{
|
|
TypeIndex from_type_index = from_type->getTypeId();
|
|
WhichDataType which(from_type_index);
|
|
bool can_apply_accurate_cast = (cast_type == CastType::accurate || cast_type == CastType::accurateOrNull)
|
|
&& (which.isInt() || which.isUInt() || which.isFloat());
|
|
|
|
if (requested_result_is_nullable && checkAndGetDataType<DataTypeString>(from_type.get()))
|
|
{
|
|
/// In case when converting to Nullable type, we apply different parsing rule,
|
|
/// that will not throw an exception but return NULL in case of malformed input.
|
|
|
|
FunctionPtr function = FunctionConvertFromString<ToDataType, FunctionName, ConvertFromStringExceptionMode::Null>::create();
|
|
return createFunctionAdaptor(function, from_type);
|
|
}
|
|
else if (!can_apply_accurate_cast)
|
|
{
|
|
FunctionPtr function = FunctionTo<ToDataType>::Type::create(context);
|
|
return createFunctionAdaptor(function, from_type);
|
|
}
|
|
|
|
auto wrapper_cast_type = cast_type;
|
|
|
|
return [wrapper_cast_type, from_type_index, to_type]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *column_nullable, size_t input_rows_count)
|
|
{
|
|
ColumnPtr result_column;
|
|
auto res = callOnIndexAndDataType<ToDataType>(from_type_index, [&](const auto & types) -> bool {
|
|
using Types = std::decay_t<decltype(types)>;
|
|
using LeftDataType = typename Types::LeftType;
|
|
using RightDataType = typename Types::RightType;
|
|
|
|
if constexpr (IsDataTypeNumber<LeftDataType> && IsDataTypeNumber<RightDataType>)
|
|
{
|
|
if (wrapper_cast_type == CastType::accurate)
|
|
{
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(
|
|
arguments, result_type, input_rows_count, AccurateConvertStrategyAdditions());
|
|
}
|
|
else
|
|
{
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(
|
|
arguments, result_type, input_rows_count, AccurateOrNullConvertStrategyAdditions());
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
return false;
|
|
});
|
|
|
|
/// Additionally check if callOnIndexAndDataType wasn't called at all.
|
|
if (!res)
|
|
{
|
|
if (wrapper_cast_type == CastType::accurateOrNull)
|
|
{
|
|
auto nullable_column_wrapper = FunctionCast<FunctionName>::createToNullableColumnWrapper();
|
|
return nullable_column_wrapper(arguments, result_type, column_nullable, input_rows_count);
|
|
}
|
|
else
|
|
{
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE,
|
|
"Conversion from {} to {} is not supported",
|
|
from_type_index, to_type->getName());
|
|
}
|
|
}
|
|
|
|
return result_column;
|
|
};
|
|
}
|
|
|
|
template <typename ToDataType>
|
|
WrapperType createBoolWrapper(const DataTypePtr & from_type, const ToDataType * const to_type, bool requested_result_is_nullable) const
|
|
{
|
|
if (checkAndGetDataType<DataTypeString>(from_type.get()))
|
|
{
|
|
return &ConvertImplGenericFromString<ColumnString>::execute;
|
|
}
|
|
|
|
return createWrapper<ToDataType>(from_type, to_type, requested_result_is_nullable);
|
|
}
|
|
|
|
WrapperType createUInt8ToBoolWrapper(const DataTypePtr from_type, const DataTypePtr to_type) const
|
|
{
|
|
return [from_type, to_type] (ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable *, size_t /*input_rows_count*/) -> ColumnPtr
|
|
{
|
|
/// Special case when we convert UInt8 column to Bool column.
|
|
/// both columns have type UInt8, but we shouldn't use identity wrapper,
|
|
/// because Bool column can contain only 0 and 1.
|
|
auto res_column = to_type->createColumn();
|
|
const auto & data_from = checkAndGetColumn<ColumnUInt8>(arguments[0].column.get())->getData();
|
|
auto & data_to = assert_cast<ColumnUInt8 *>(res_column.get())->getData();
|
|
data_to.resize(data_from.size());
|
|
for (size_t i = 0; i != data_from.size(); ++i)
|
|
data_to[i] = static_cast<bool>(data_from[i]);
|
|
return res_column;
|
|
};
|
|
}
|
|
|
|
static WrapperType createStringWrapper(const DataTypePtr & from_type)
|
|
{
|
|
FunctionPtr function = FunctionToString::create();
|
|
return createFunctionAdaptor(function, from_type);
|
|
}
|
|
|
|
WrapperType createFixedStringWrapper(const DataTypePtr & from_type, const size_t N) const
|
|
{
|
|
if (!isStringOrFixedString(from_type))
|
|
throw Exception(ErrorCodes::NOT_IMPLEMENTED, "CAST AS FixedString is only implemented for types String and FixedString");
|
|
|
|
bool exception_mode_null = cast_type == CastType::accurateOrNull;
|
|
return [exception_mode_null, N] (ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable *, size_t /*input_rows_count*/)
|
|
{
|
|
if (exception_mode_null)
|
|
return FunctionToFixedString::executeForN<ConvertToFixedStringExceptionMode::Null>(arguments, N);
|
|
else
|
|
return FunctionToFixedString::executeForN<ConvertToFixedStringExceptionMode::Throw>(arguments, N);
|
|
};
|
|
}
|
|
|
|
#define GENERATE_INTERVAL_CASE(INTERVAL_KIND) \
|
|
case IntervalKind::INTERVAL_KIND: \
|
|
return createFunctionAdaptor(FunctionConvert<DataTypeInterval, NameToInterval##INTERVAL_KIND, PositiveMonotonicity>::create(), from_type);
|
|
|
|
static WrapperType createIntervalWrapper(const DataTypePtr & from_type, IntervalKind kind)
|
|
{
|
|
switch (kind)
|
|
{
|
|
GENERATE_INTERVAL_CASE(Nanosecond)
|
|
GENERATE_INTERVAL_CASE(Microsecond)
|
|
GENERATE_INTERVAL_CASE(Millisecond)
|
|
GENERATE_INTERVAL_CASE(Second)
|
|
GENERATE_INTERVAL_CASE(Minute)
|
|
GENERATE_INTERVAL_CASE(Hour)
|
|
GENERATE_INTERVAL_CASE(Day)
|
|
GENERATE_INTERVAL_CASE(Week)
|
|
GENERATE_INTERVAL_CASE(Month)
|
|
GENERATE_INTERVAL_CASE(Quarter)
|
|
GENERATE_INTERVAL_CASE(Year)
|
|
}
|
|
throw Exception{ErrorCodes::CANNOT_CONVERT_TYPE, "Conversion to unexpected IntervalKind: {}", kind.toString()};
|
|
}
|
|
|
|
#undef GENERATE_INTERVAL_CASE
|
|
|
|
template <typename ToDataType>
|
|
requires IsDataTypeDecimal<ToDataType>
|
|
WrapperType createDecimalWrapper(const DataTypePtr & from_type, const ToDataType * to_type, bool requested_result_is_nullable) const
|
|
{
|
|
TypeIndex type_index = from_type->getTypeId();
|
|
UInt32 scale = to_type->getScale();
|
|
|
|
WhichDataType which(type_index);
|
|
bool ok = which.isNativeInt() || which.isNativeUInt() || which.isDecimal() || which.isFloat() || which.isDateOrDate32() || which.isDateTime() || which.isDateTime64()
|
|
|| which.isStringOrFixedString();
|
|
if (!ok)
|
|
{
|
|
if (cast_type == CastType::accurateOrNull)
|
|
return createToNullableColumnWrapper();
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Conversion from {} to {} is not supported",
|
|
from_type->getName(), to_type->getName());
|
|
}
|
|
|
|
auto wrapper_cast_type = cast_type;
|
|
|
|
return [wrapper_cast_type, type_index, scale, to_type, requested_result_is_nullable]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *column_nullable, size_t input_rows_count)
|
|
{
|
|
ColumnPtr result_column;
|
|
auto res = callOnIndexAndDataType<ToDataType>(type_index, [&](const auto & types) -> bool
|
|
{
|
|
using Types = std::decay_t<decltype(types)>;
|
|
using LeftDataType = typename Types::LeftType;
|
|
using RightDataType = typename Types::RightType;
|
|
|
|
if constexpr (IsDataTypeDecimalOrNumber<LeftDataType> && IsDataTypeDecimalOrNumber<RightDataType> && !std::is_same_v<DataTypeDateTime64, RightDataType>)
|
|
{
|
|
if (wrapper_cast_type == CastType::accurate)
|
|
{
|
|
AccurateConvertStrategyAdditions additions;
|
|
additions.scale = scale;
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(
|
|
arguments, result_type, input_rows_count, additions);
|
|
|
|
return true;
|
|
}
|
|
else if (wrapper_cast_type == CastType::accurateOrNull)
|
|
{
|
|
AccurateOrNullConvertStrategyAdditions additions;
|
|
additions.scale = scale;
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(
|
|
arguments, result_type, input_rows_count, additions);
|
|
|
|
return true;
|
|
}
|
|
}
|
|
else if constexpr (std::is_same_v<LeftDataType, DataTypeString>)
|
|
{
|
|
if (requested_result_is_nullable)
|
|
{
|
|
/// Consistent with CAST(Nullable(String) AS Nullable(Numbers))
|
|
/// In case when converting to Nullable type, we apply different parsing rule,
|
|
/// that will not throw an exception but return NULL in case of malformed input.
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName, ConvertReturnNullOnErrorTag>::execute(
|
|
arguments, result_type, input_rows_count, scale);
|
|
|
|
return true;
|
|
}
|
|
}
|
|
|
|
result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(arguments, result_type, input_rows_count, scale);
|
|
|
|
return true;
|
|
});
|
|
|
|
/// Additionally check if callOnIndexAndDataType wasn't called at all.
|
|
if (!res)
|
|
{
|
|
if (wrapper_cast_type == CastType::accurateOrNull)
|
|
{
|
|
auto nullable_column_wrapper = FunctionCast<FunctionName>::createToNullableColumnWrapper();
|
|
return nullable_column_wrapper(arguments, result_type, column_nullable, input_rows_count);
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE,
|
|
"Conversion from {} to {} is not supported",
|
|
type_index, to_type->getName());
|
|
}
|
|
|
|
return result_column;
|
|
};
|
|
}
|
|
|
|
WrapperType createAggregateFunctionWrapper(const DataTypePtr & from_type_untyped, const DataTypeAggregateFunction * to_type) const
|
|
{
|
|
/// Conversion from String through parsing.
|
|
if (checkAndGetDataType<DataTypeString>(from_type_untyped.get()))
|
|
{
|
|
return &ConvertImplGenericFromString<ColumnString>::execute;
|
|
}
|
|
else
|
|
{
|
|
if (cast_type == CastType::accurateOrNull)
|
|
return createToNullableColumnWrapper();
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Conversion from {} to {} is not supported",
|
|
from_type_untyped->getName(), to_type->getName());
|
|
}
|
|
}
|
|
|
|
WrapperType createArrayWrapper(const DataTypePtr & from_type_untyped, const DataTypeArray & to_type) const
|
|
{
|
|
/// Conversion from String through parsing.
|
|
if (checkAndGetDataType<DataTypeString>(from_type_untyped.get()))
|
|
{
|
|
return &ConvertImplGenericFromString<ColumnString>::execute;
|
|
}
|
|
|
|
const auto * from_type = checkAndGetDataType<DataTypeArray>(from_type_untyped.get());
|
|
const auto * from_type_map = checkAndGetDataType<DataTypeMap>(from_type_untyped.get());
|
|
|
|
/// Convert from Map
|
|
if (from_type_map)
|
|
from_type = checkAndGetDataType<DataTypeArray>(from_type_map->getNestedType().get());
|
|
|
|
if (!from_type)
|
|
{
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"CAST AS Array can only be performed between same-dimensional Array, Map or String types");
|
|
}
|
|
|
|
DataTypePtr from_nested_type = from_type->getNestedType();
|
|
|
|
/// In query SELECT CAST([] AS Array(Array(String))) from type is Array(Nothing)
|
|
bool from_empty_array = isNothing(from_nested_type);
|
|
|
|
if (from_type->getNumberOfDimensions() != to_type.getNumberOfDimensions() && !from_empty_array)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"CAST AS Array can only be performed between same-dimensional array types");
|
|
|
|
const DataTypePtr & to_nested_type = to_type.getNestedType();
|
|
|
|
/// Prepare nested type conversion
|
|
const auto nested_function = prepareUnpackDictionaries(from_nested_type, to_nested_type);
|
|
|
|
return [nested_function, from_nested_type, to_nested_type](
|
|
ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t /*input_rows_count*/) -> ColumnPtr
|
|
{
|
|
const auto & argument_column = arguments.front();
|
|
|
|
const ColumnArray * col_array = nullptr;
|
|
|
|
if (const ColumnMap * col_map = checkAndGetColumn<ColumnMap>(argument_column.column.get()))
|
|
col_array = &col_map->getNestedColumn();
|
|
else
|
|
col_array = checkAndGetColumn<ColumnArray>(argument_column.column.get());
|
|
|
|
if (col_array)
|
|
{
|
|
/// create columns for converting nested column containing original and result columns
|
|
ColumnsWithTypeAndName nested_columns{{ col_array->getDataPtr(), from_nested_type, "" }};
|
|
|
|
/// convert nested column
|
|
auto result_column = nested_function(nested_columns, to_nested_type, nullable_source, nested_columns.front().column->size());
|
|
|
|
/// set converted nested column to result
|
|
return ColumnArray::create(result_column, col_array->getOffsetsPtr());
|
|
}
|
|
else
|
|
{
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
|
"Illegal column {} for function CAST AS Array",
|
|
argument_column.column->getName());
|
|
}
|
|
};
|
|
}
|
|
|
|
using ElementWrappers = std::vector<WrapperType>;
|
|
|
|
ElementWrappers getElementWrappers(const DataTypes & from_element_types, const DataTypes & to_element_types) const
|
|
{
|
|
ElementWrappers element_wrappers;
|
|
element_wrappers.reserve(from_element_types.size());
|
|
|
|
/// Create conversion wrapper for each element in tuple
|
|
for (size_t i = 0; i < from_element_types.size(); ++i)
|
|
{
|
|
const DataTypePtr & from_element_type = from_element_types[i];
|
|
const DataTypePtr & to_element_type = to_element_types[i];
|
|
element_wrappers.push_back(prepareUnpackDictionaries(from_element_type, to_element_type));
|
|
}
|
|
|
|
return element_wrappers;
|
|
}
|
|
|
|
WrapperType createTupleWrapper(const DataTypePtr & from_type_untyped, const DataTypeTuple * to_type) const
|
|
{
|
|
/// Conversion from String through parsing.
|
|
if (checkAndGetDataType<DataTypeString>(from_type_untyped.get()))
|
|
{
|
|
return &ConvertImplGenericFromString<ColumnString>::execute;
|
|
}
|
|
|
|
const auto * from_type = checkAndGetDataType<DataTypeTuple>(from_type_untyped.get());
|
|
if (!from_type)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "CAST AS Tuple can only be performed between tuple types or from String.\n"
|
|
"Left type: {}, right type: {}", from_type_untyped->getName(), to_type->getName());
|
|
|
|
const auto & from_element_types = from_type->getElements();
|
|
const auto & to_element_types = to_type->getElements();
|
|
|
|
std::vector<WrapperType> element_wrappers;
|
|
std::vector<std::optional<size_t>> to_reverse_index;
|
|
|
|
/// For named tuples allow conversions for tuples with
|
|
/// different sets of elements. If element exists in @to_type
|
|
/// and doesn't exist in @to_type it will be filled by default values.
|
|
if (from_type->haveExplicitNames() && to_type->haveExplicitNames())
|
|
{
|
|
const auto & from_names = from_type->getElementNames();
|
|
std::unordered_map<String, size_t> from_positions;
|
|
from_positions.reserve(from_names.size());
|
|
for (size_t i = 0; i < from_names.size(); ++i)
|
|
from_positions[from_names[i]] = i;
|
|
|
|
const auto & to_names = to_type->getElementNames();
|
|
element_wrappers.reserve(to_names.size());
|
|
to_reverse_index.reserve(from_names.size());
|
|
|
|
for (size_t i = 0; i < to_names.size(); ++i)
|
|
{
|
|
auto it = from_positions.find(to_names[i]);
|
|
if (it != from_positions.end())
|
|
{
|
|
element_wrappers.emplace_back(prepareUnpackDictionaries(from_element_types[it->second], to_element_types[i]));
|
|
to_reverse_index.emplace_back(it->second);
|
|
}
|
|
else
|
|
{
|
|
element_wrappers.emplace_back();
|
|
to_reverse_index.emplace_back();
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (from_element_types.size() != to_element_types.size())
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "CAST AS Tuple can only be performed between tuple types "
|
|
"with the same number of elements or from String.\nLeft type: {}, right type: {}",
|
|
from_type->getName(), to_type->getName());
|
|
|
|
element_wrappers = getElementWrappers(from_element_types, to_element_types);
|
|
to_reverse_index.reserve(to_element_types.size());
|
|
for (size_t i = 0; i < to_element_types.size(); ++i)
|
|
to_reverse_index.emplace_back(i);
|
|
}
|
|
|
|
return [element_wrappers, from_element_types, to_element_types, to_reverse_index]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t input_rows_count) -> ColumnPtr
|
|
{
|
|
const auto * col = arguments.front().column.get();
|
|
|
|
size_t tuple_size = to_element_types.size();
|
|
const ColumnTuple & column_tuple = typeid_cast<const ColumnTuple &>(*col);
|
|
|
|
Columns converted_columns(tuple_size);
|
|
|
|
/// invoke conversion for each element
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
if (to_reverse_index[i])
|
|
{
|
|
size_t from_idx = *to_reverse_index[i];
|
|
ColumnsWithTypeAndName element = {{column_tuple.getColumns()[from_idx], from_element_types[from_idx], "" }};
|
|
converted_columns[i] = element_wrappers[i](element, to_element_types[i], nullable_source, input_rows_count);
|
|
}
|
|
else
|
|
{
|
|
converted_columns[i] = to_element_types[i]->createColumn()->cloneResized(input_rows_count);
|
|
}
|
|
}
|
|
|
|
return ColumnTuple::create(converted_columns);
|
|
};
|
|
}
|
|
|
|
/// The case of: tuple([key1, key2, ..., key_n], [value1, value2, ..., value_n])
|
|
WrapperType createTupleToMapWrapper(const DataTypes & from_kv_types, const DataTypes & to_kv_types) const
|
|
{
|
|
return [element_wrappers = getElementWrappers(from_kv_types, to_kv_types), from_kv_types, to_kv_types]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t /*input_rows_count*/) -> ColumnPtr
|
|
{
|
|
const auto * col = arguments.front().column.get();
|
|
const auto & column_tuple = assert_cast<const ColumnTuple &>(*col);
|
|
|
|
Columns offsets(2);
|
|
Columns converted_columns(2);
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
const auto & column_array = assert_cast<const ColumnArray &>(column_tuple.getColumn(i));
|
|
ColumnsWithTypeAndName element = {{column_array.getDataPtr(), from_kv_types[i], ""}};
|
|
converted_columns[i] = element_wrappers[i](element, to_kv_types[i], nullable_source, (element[0].column)->size());
|
|
offsets[i] = column_array.getOffsetsPtr();
|
|
}
|
|
|
|
const auto & keys_offsets = assert_cast<const ColumnArray::ColumnOffsets &>(*offsets[0]).getData();
|
|
const auto & values_offsets = assert_cast<const ColumnArray::ColumnOffsets &>(*offsets[1]).getData();
|
|
if (keys_offsets != values_offsets)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"CAST AS Map can only be performed from tuple of arrays with equal sizes.");
|
|
|
|
return ColumnMap::create(converted_columns[0], converted_columns[1], offsets[0]);
|
|
};
|
|
}
|
|
|
|
WrapperType createMapToMapWrrapper(const DataTypes & from_kv_types, const DataTypes & to_kv_types) const
|
|
{
|
|
return [element_wrappers = getElementWrappers(from_kv_types, to_kv_types), from_kv_types, to_kv_types]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t /*input_rows_count*/) -> ColumnPtr
|
|
{
|
|
const auto * col = arguments.front().column.get();
|
|
const auto & column_map = typeid_cast<const ColumnMap &>(*col);
|
|
const auto & nested_data = column_map.getNestedData();
|
|
|
|
Columns converted_columns(2);
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
ColumnsWithTypeAndName element = {{nested_data.getColumnPtr(i), from_kv_types[i], ""}};
|
|
converted_columns[i] = element_wrappers[i](element, to_kv_types[i], nullable_source, (element[0].column)->size());
|
|
}
|
|
|
|
return ColumnMap::create(converted_columns[0], converted_columns[1], column_map.getNestedColumn().getOffsetsPtr());
|
|
};
|
|
}
|
|
|
|
/// The case of: [(key1, value1), (key2, value2), ...]
|
|
WrapperType createArrayToMapWrrapper(const DataTypes & from_kv_types, const DataTypes & to_kv_types) const
|
|
{
|
|
return [element_wrappers = getElementWrappers(from_kv_types, to_kv_types), from_kv_types, to_kv_types]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t /*input_rows_count*/) -> ColumnPtr
|
|
{
|
|
const auto * col = arguments.front().column.get();
|
|
const auto & column_array = typeid_cast<const ColumnArray &>(*col);
|
|
const auto & nested_data = typeid_cast<const ColumnTuple &>(column_array.getData());
|
|
|
|
Columns converted_columns(2);
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
ColumnsWithTypeAndName element = {{nested_data.getColumnPtr(i), from_kv_types[i], ""}};
|
|
converted_columns[i] = element_wrappers[i](element, to_kv_types[i], nullable_source, (element[0].column)->size());
|
|
}
|
|
|
|
return ColumnMap::create(converted_columns[0], converted_columns[1], column_array.getOffsetsPtr());
|
|
};
|
|
}
|
|
|
|
|
|
WrapperType createMapWrapper(const DataTypePtr & from_type_untyped, const DataTypeMap * to_type) const
|
|
{
|
|
if (const auto * from_tuple = checkAndGetDataType<DataTypeTuple>(from_type_untyped.get()))
|
|
{
|
|
if (from_tuple->getElements().size() != 2)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "CAST AS Map from tuple requeires 2 elements. "
|
|
"Left type: {}, right type: {}", from_tuple->getName(), to_type->getName());
|
|
|
|
DataTypes from_kv_types;
|
|
const auto & to_kv_types = to_type->getKeyValueTypes();
|
|
|
|
for (const auto & elem : from_tuple->getElements())
|
|
{
|
|
const auto * type_array = checkAndGetDataType<DataTypeArray>(elem.get());
|
|
if (!type_array)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"CAST AS Map can only be performed from tuples of array. Got: {}", from_tuple->getName());
|
|
|
|
from_kv_types.push_back(type_array->getNestedType());
|
|
}
|
|
|
|
return createTupleToMapWrapper(from_kv_types, to_kv_types);
|
|
}
|
|
else if (const auto * from_array = typeid_cast<const DataTypeArray *>(from_type_untyped.get()))
|
|
{
|
|
const auto * nested_tuple = typeid_cast<const DataTypeTuple *>(from_array->getNestedType().get());
|
|
if (!nested_tuple || nested_tuple->getElements().size() != 2)
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "CAST AS Map from array requeires nested tuple of 2 elements. "
|
|
"Left type: {}, right type: {}", from_array->getName(), to_type->getName());
|
|
|
|
return createArrayToMapWrrapper(nested_tuple->getElements(), to_type->getKeyValueTypes());
|
|
}
|
|
else if (const auto * from_type = checkAndGetDataType<DataTypeMap>(from_type_untyped.get()))
|
|
{
|
|
return createMapToMapWrrapper(from_type->getKeyValueTypes(), to_type->getKeyValueTypes());
|
|
}
|
|
else
|
|
{
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "Unsupported types to CAST AS Map. "
|
|
"Left type: {}, right type: {}", from_type_untyped->getName(), to_type->getName());
|
|
}
|
|
}
|
|
|
|
WrapperType createTupleToObjectWrapper(const DataTypeTuple & from_tuple, bool has_nullable_subcolumns) const
|
|
{
|
|
if (!from_tuple.haveExplicitNames())
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"Cast to Object can be performed only from flatten Named Tuple. Got: {}", from_tuple.getName());
|
|
|
|
PathsInData paths;
|
|
DataTypes from_types;
|
|
|
|
std::tie(paths, from_types) = flattenTuple(from_tuple.getPtr());
|
|
auto to_types = from_types;
|
|
|
|
for (auto & type : to_types)
|
|
{
|
|
if (isTuple(type) || isNested(type))
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"Cast to Object can be performed only from flatten Named Tuple. Got: {}",
|
|
from_tuple.getName());
|
|
|
|
type = recursiveRemoveLowCardinality(type);
|
|
}
|
|
|
|
return [element_wrappers = getElementWrappers(from_types, to_types),
|
|
has_nullable_subcolumns, from_types, to_types, paths]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t input_rows_count)
|
|
{
|
|
size_t tuple_size = to_types.size();
|
|
auto flattened_column = flattenTuple(arguments.front().column);
|
|
const auto & column_tuple = assert_cast<const ColumnTuple &>(*flattened_column);
|
|
|
|
if (tuple_size != column_tuple.getColumns().size())
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"Expected tuple with {} subcolumn, but got {} subcolumns",
|
|
tuple_size, column_tuple.getColumns().size());
|
|
|
|
auto res = ColumnObject::create(has_nullable_subcolumns);
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnsWithTypeAndName element = {{column_tuple.getColumns()[i], from_types[i], "" }};
|
|
auto converted_column = element_wrappers[i](element, to_types[i], nullable_source, input_rows_count);
|
|
res->addSubcolumn(paths[i], converted_column->assumeMutable());
|
|
}
|
|
|
|
return res;
|
|
};
|
|
}
|
|
|
|
WrapperType createMapToObjectWrapper(const DataTypeMap & from_map, bool has_nullable_subcolumns) const
|
|
{
|
|
auto key_value_types = from_map.getKeyValueTypes();
|
|
|
|
if (!isStringOrFixedString(key_value_types[0]))
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"Cast to Object from Map can be performed only from Map "
|
|
"with String or FixedString key. Got: {}", from_map.getName());
|
|
|
|
const auto & value_type = key_value_types[1];
|
|
auto to_value_type = value_type;
|
|
|
|
if (!has_nullable_subcolumns && value_type->isNullable())
|
|
to_value_type = removeNullable(value_type);
|
|
|
|
if (has_nullable_subcolumns && !value_type->isNullable())
|
|
to_value_type = makeNullable(value_type);
|
|
|
|
DataTypes to_key_value_types{std::make_shared<DataTypeString>(), std::move(to_value_type)};
|
|
auto element_wrappers = getElementWrappers(key_value_types, to_key_value_types);
|
|
|
|
return [has_nullable_subcolumns, element_wrappers, key_value_types, to_key_value_types]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t) -> ColumnPtr
|
|
{
|
|
const auto & column_map = assert_cast<const ColumnMap &>(*arguments.front().column);
|
|
const auto & offsets = column_map.getNestedColumn().getOffsets();
|
|
auto key_value_columns = column_map.getNestedData().getColumnsCopy();
|
|
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
ColumnsWithTypeAndName element{{key_value_columns[i], key_value_types[i], ""}};
|
|
key_value_columns[i] = element_wrappers[i](element, to_key_value_types[i], nullable_source, key_value_columns[i]->size());
|
|
}
|
|
|
|
const auto & key_column_str = assert_cast<const ColumnString &>(*key_value_columns[0]);
|
|
const auto & value_column = *key_value_columns[1];
|
|
|
|
using SubcolumnsMap = HashMap<StringRef, MutableColumnPtr, StringRefHash>;
|
|
SubcolumnsMap subcolumns;
|
|
|
|
for (size_t row = 0; row < offsets.size(); ++row)
|
|
{
|
|
for (size_t i = offsets[static_cast<ssize_t>(row) - 1]; i < offsets[row]; ++i)
|
|
{
|
|
auto ref = key_column_str.getDataAt(i);
|
|
|
|
bool inserted;
|
|
SubcolumnsMap::LookupResult it;
|
|
subcolumns.emplace(ref, it, inserted);
|
|
auto & subcolumn = it->getMapped();
|
|
|
|
if (inserted)
|
|
subcolumn = value_column.cloneEmpty()->cloneResized(row);
|
|
|
|
/// Map can have duplicated keys. We insert only first one.
|
|
if (subcolumn->size() == row)
|
|
subcolumn->insertFrom(value_column, i);
|
|
}
|
|
|
|
/// Insert default values for keys missed in current row.
|
|
for (const auto & [_, subcolumn] : subcolumns)
|
|
if (subcolumn->size() == row)
|
|
subcolumn->insertDefault();
|
|
}
|
|
|
|
auto column_object = ColumnObject::create(has_nullable_subcolumns);
|
|
for (auto && [key, subcolumn] : subcolumns)
|
|
{
|
|
PathInData path(key.toView());
|
|
column_object->addSubcolumn(path, std::move(subcolumn));
|
|
}
|
|
|
|
return column_object;
|
|
};
|
|
}
|
|
|
|
WrapperType createObjectWrapper(const DataTypePtr & from_type, const DataTypeObject * to_type) const
|
|
{
|
|
if (const auto * from_tuple = checkAndGetDataType<DataTypeTuple>(from_type.get()))
|
|
{
|
|
return createTupleToObjectWrapper(*from_tuple, to_type->hasNullableSubcolumns());
|
|
}
|
|
else if (const auto * from_map = checkAndGetDataType<DataTypeMap>(from_type.get()))
|
|
{
|
|
return createMapToObjectWrapper(*from_map, to_type->hasNullableSubcolumns());
|
|
}
|
|
else if (checkAndGetDataType<DataTypeString>(from_type.get()))
|
|
{
|
|
return [] (ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * nullable_source, size_t input_rows_count)
|
|
{
|
|
auto res = ConvertImplGenericFromString<ColumnString>::execute(arguments, result_type, nullable_source, input_rows_count)->assumeMutable();
|
|
res->finalize();
|
|
return res;
|
|
};
|
|
}
|
|
else if (checkAndGetDataType<DataTypeObject>(from_type.get()))
|
|
{
|
|
return [is_nullable = to_type->hasNullableSubcolumns()] (ColumnsWithTypeAndName & arguments, const DataTypePtr & , const ColumnNullable * , size_t) -> ColumnPtr
|
|
{
|
|
auto & column_object = assert_cast<const ColumnObject &>(*arguments.front().column);
|
|
auto res = ColumnObject::create(is_nullable);
|
|
for (size_t i = 0; i < column_object.size(); i++)
|
|
res->insert(column_object[i]);
|
|
|
|
res->finalize();
|
|
return res;
|
|
};
|
|
}
|
|
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH,
|
|
"Cast to Object can be performed only from flatten named Tuple, Map or String. Got: {}", from_type->getName());
|
|
}
|
|
|
|
template <typename FieldType>
|
|
WrapperType createEnumWrapper(const DataTypePtr & from_type, const DataTypeEnum<FieldType> * to_type) const
|
|
{
|
|
using EnumType = DataTypeEnum<FieldType>;
|
|
using Function = typename FunctionTo<EnumType>::Type;
|
|
|
|
if (const auto * from_enum8 = checkAndGetDataType<DataTypeEnum8>(from_type.get()))
|
|
checkEnumToEnumConversion(from_enum8, to_type);
|
|
else if (const auto * from_enum16 = checkAndGetDataType<DataTypeEnum16>(from_type.get()))
|
|
checkEnumToEnumConversion(from_enum16, to_type);
|
|
|
|
if (checkAndGetDataType<DataTypeString>(from_type.get()))
|
|
return createStringToEnumWrapper<ColumnString, EnumType>();
|
|
else if (checkAndGetDataType<DataTypeFixedString>(from_type.get()))
|
|
return createStringToEnumWrapper<ColumnFixedString, EnumType>();
|
|
else if (isNativeNumber(from_type) || isEnum(from_type))
|
|
{
|
|
auto function = Function::create();
|
|
return createFunctionAdaptor(function, from_type);
|
|
}
|
|
else
|
|
{
|
|
if (cast_type == CastType::accurateOrNull)
|
|
return createToNullableColumnWrapper();
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Conversion from {} to {} is not supported",
|
|
from_type->getName(), to_type->getName());
|
|
}
|
|
}
|
|
|
|
template <typename EnumTypeFrom, typename EnumTypeTo>
|
|
void checkEnumToEnumConversion(const EnumTypeFrom * from_type, const EnumTypeTo * to_type) const
|
|
{
|
|
const auto & from_values = from_type->getValues();
|
|
const auto & to_values = to_type->getValues();
|
|
|
|
using ValueType = std::common_type_t<typename EnumTypeFrom::FieldType, typename EnumTypeTo::FieldType>;
|
|
using NameValuePair = std::pair<std::string, ValueType>;
|
|
using EnumValues = std::vector<NameValuePair>;
|
|
|
|
EnumValues name_intersection;
|
|
std::set_intersection(std::begin(from_values), std::end(from_values),
|
|
std::begin(to_values), std::end(to_values), std::back_inserter(name_intersection),
|
|
[] (auto && from, auto && to) { return from.first < to.first; });
|
|
|
|
for (const auto & name_value : name_intersection)
|
|
{
|
|
const auto & old_value = name_value.second;
|
|
const auto & new_value = to_type->getValue(name_value.first);
|
|
if (old_value != new_value)
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Enum conversion changes value for element '{}' from {} to {}",
|
|
name_value.first, toString(old_value), toString(new_value));
|
|
}
|
|
}
|
|
|
|
template <typename ColumnStringType, typename EnumType>
|
|
WrapperType createStringToEnumWrapper() const
|
|
{
|
|
const char * function_name = cast_name;
|
|
return [function_name] (
|
|
ColumnsWithTypeAndName & arguments, const DataTypePtr & res_type, const ColumnNullable * nullable_col, size_t /*input_rows_count*/)
|
|
{
|
|
const auto & first_col = arguments.front().column.get();
|
|
const auto & result_type = typeid_cast<const EnumType &>(*res_type);
|
|
|
|
const ColumnStringType * col = typeid_cast<const ColumnStringType *>(first_col);
|
|
|
|
if (col && nullable_col && nullable_col->size() != col->size())
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "ColumnNullable is not compatible with original");
|
|
|
|
if (col)
|
|
{
|
|
const auto size = col->size();
|
|
|
|
auto res = result_type.createColumn();
|
|
auto & out_data = static_cast<typename EnumType::ColumnType &>(*res).getData();
|
|
out_data.resize(size);
|
|
|
|
auto default_enum_value = result_type.getValues().front().second;
|
|
|
|
if (nullable_col)
|
|
{
|
|
for (size_t i = 0; i < size; ++i)
|
|
{
|
|
if (!nullable_col->isNullAt(i))
|
|
out_data[i] = result_type.getValue(col->getDataAt(i));
|
|
else
|
|
out_data[i] = default_enum_value;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (size_t i = 0; i < size; ++i)
|
|
out_data[i] = result_type.getValue(col->getDataAt(i));
|
|
}
|
|
|
|
return res;
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unexpected column {} as first argument of function {}",
|
|
first_col->getName(), function_name);
|
|
};
|
|
}
|
|
|
|
static WrapperType createIdentityWrapper(const DataTypePtr &)
|
|
{
|
|
return [] (ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable *, size_t /*input_rows_count*/)
|
|
{
|
|
return arguments.front().column;
|
|
};
|
|
}
|
|
|
|
static WrapperType createNothingWrapper(const IDataType * to_type)
|
|
{
|
|
ColumnPtr res = to_type->createColumnConstWithDefaultValue(1);
|
|
return [res] (ColumnsWithTypeAndName &, const DataTypePtr &, const ColumnNullable *, size_t input_rows_count)
|
|
{
|
|
/// Column of Nothing type is trivially convertible to any other column
|
|
return res->cloneResized(input_rows_count)->convertToFullColumnIfConst();
|
|
};
|
|
}
|
|
|
|
WrapperType prepareUnpackDictionaries(const DataTypePtr & from_type, const DataTypePtr & to_type) const
|
|
{
|
|
const auto * from_low_cardinality = typeid_cast<const DataTypeLowCardinality *>(from_type.get());
|
|
const auto * to_low_cardinality = typeid_cast<const DataTypeLowCardinality *>(to_type.get());
|
|
const auto & from_nested = from_low_cardinality ? from_low_cardinality->getDictionaryType() : from_type;
|
|
const auto & to_nested = to_low_cardinality ? to_low_cardinality->getDictionaryType() : to_type;
|
|
|
|
if (from_type->onlyNull())
|
|
{
|
|
if (!to_nested->isNullable())
|
|
{
|
|
if (cast_type == CastType::accurateOrNull)
|
|
{
|
|
return createToNullableColumnWrapper();
|
|
}
|
|
else
|
|
{
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Cannot convert NULL to a non-nullable type");
|
|
}
|
|
}
|
|
|
|
return [](ColumnsWithTypeAndName &, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count)
|
|
{
|
|
return result_type->createColumnConstWithDefaultValue(input_rows_count)->convertToFullColumnIfConst();
|
|
};
|
|
}
|
|
|
|
bool skip_not_null_check = false;
|
|
|
|
if (from_low_cardinality && from_nested->isNullable() && !to_nested->isNullable())
|
|
/// Disable check for dictionary. Will check that column doesn't contain NULL in wrapper below.
|
|
skip_not_null_check = true;
|
|
|
|
auto wrapper = prepareRemoveNullable(from_nested, to_nested, skip_not_null_check);
|
|
if (!from_low_cardinality && !to_low_cardinality)
|
|
return wrapper;
|
|
|
|
return [wrapper, from_low_cardinality, to_low_cardinality, skip_not_null_check]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * nullable_source, size_t input_rows_count) -> ColumnPtr
|
|
{
|
|
ColumnsWithTypeAndName args = {arguments[0]};
|
|
auto & arg = args.front();
|
|
auto res_type = result_type;
|
|
|
|
ColumnPtr converted_column;
|
|
|
|
ColumnPtr res_indexes;
|
|
/// For some types default can't be casted (for example, String to Int). In that case convert column to full.
|
|
bool src_converted_to_full_column = false;
|
|
|
|
{
|
|
auto tmp_rows_count = input_rows_count;
|
|
|
|
if (to_low_cardinality)
|
|
res_type = to_low_cardinality->getDictionaryType();
|
|
|
|
if (from_low_cardinality)
|
|
{
|
|
const auto * col_low_cardinality = typeid_cast<const ColumnLowCardinality *>(arguments[0].column.get());
|
|
|
|
if (skip_not_null_check && col_low_cardinality->containsNull())
|
|
throw Exception(ErrorCodes::CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN, "Cannot convert NULL value to non-Nullable type");
|
|
|
|
arg.column = col_low_cardinality->getDictionary().getNestedColumn();
|
|
arg.type = from_low_cardinality->getDictionaryType();
|
|
|
|
/// TODO: Make map with defaults conversion.
|
|
src_converted_to_full_column = !removeNullable(arg.type)->equals(*removeNullable(res_type));
|
|
if (src_converted_to_full_column)
|
|
arg.column = arg.column->index(col_low_cardinality->getIndexes(), 0);
|
|
else
|
|
res_indexes = col_low_cardinality->getIndexesPtr();
|
|
|
|
tmp_rows_count = arg.column->size();
|
|
}
|
|
|
|
/// Perform the requested conversion.
|
|
converted_column = wrapper(args, res_type, nullable_source, tmp_rows_count);
|
|
}
|
|
|
|
if (to_low_cardinality)
|
|
{
|
|
auto res_column = to_low_cardinality->createColumn();
|
|
auto * col_low_cardinality = typeid_cast<ColumnLowCardinality *>(res_column.get());
|
|
|
|
if (from_low_cardinality && !src_converted_to_full_column)
|
|
{
|
|
col_low_cardinality->insertRangeFromDictionaryEncodedColumn(*converted_column, *res_indexes);
|
|
}
|
|
else
|
|
col_low_cardinality->insertRangeFromFullColumn(*converted_column, 0, converted_column->size());
|
|
|
|
return res_column;
|
|
}
|
|
else if (!src_converted_to_full_column)
|
|
return converted_column->index(*res_indexes, 0);
|
|
else
|
|
return converted_column;
|
|
};
|
|
}
|
|
|
|
WrapperType prepareRemoveNullable(const DataTypePtr & from_type, const DataTypePtr & to_type, bool skip_not_null_check) const
|
|
{
|
|
/// Determine whether pre-processing and/or post-processing must take place during conversion.
|
|
|
|
bool source_is_nullable = from_type->isNullable();
|
|
bool result_is_nullable = to_type->isNullable();
|
|
|
|
auto wrapper = prepareImpl(removeNullable(from_type), removeNullable(to_type), result_is_nullable);
|
|
|
|
if (result_is_nullable)
|
|
{
|
|
return [wrapper, source_is_nullable]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count) -> ColumnPtr
|
|
{
|
|
/// Create a temporary columns on which to perform the operation.
|
|
const auto & nullable_type = static_cast<const DataTypeNullable &>(*result_type);
|
|
const auto & nested_type = nullable_type.getNestedType();
|
|
|
|
ColumnsWithTypeAndName tmp_args;
|
|
if (source_is_nullable)
|
|
tmp_args = createBlockWithNestedColumns(arguments);
|
|
else
|
|
tmp_args = arguments;
|
|
|
|
const ColumnNullable * nullable_source = nullptr;
|
|
|
|
/// Add original ColumnNullable for createStringToEnumWrapper()
|
|
if (source_is_nullable)
|
|
{
|
|
if (arguments.size() != 1)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Invalid number of arguments");
|
|
nullable_source = typeid_cast<const ColumnNullable *>(arguments.front().column.get());
|
|
}
|
|
|
|
/// Perform the requested conversion.
|
|
auto tmp_res = wrapper(tmp_args, nested_type, nullable_source, input_rows_count);
|
|
|
|
/// May happen in fuzzy tests. For debug purpose.
|
|
if (!tmp_res)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Couldn't convert {} to {} in prepareRemoveNullable wrapper.",
|
|
arguments[0].type->getName(), nested_type->getName());
|
|
|
|
return wrapInNullable(tmp_res, arguments, nested_type, input_rows_count);
|
|
};
|
|
}
|
|
else if (source_is_nullable)
|
|
{
|
|
/// Conversion from Nullable to non-Nullable.
|
|
|
|
return [wrapper, skip_not_null_check]
|
|
(ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count) -> ColumnPtr
|
|
{
|
|
auto tmp_args = createBlockWithNestedColumns(arguments);
|
|
auto nested_type = removeNullable(result_type);
|
|
|
|
/// Check that all values are not-NULL.
|
|
/// Check can be skipped in case if LowCardinality dictionary is transformed.
|
|
/// In that case, correctness will be checked beforehand.
|
|
if (!skip_not_null_check)
|
|
{
|
|
const auto & col = arguments[0].column;
|
|
const auto & nullable_col = assert_cast<const ColumnNullable &>(*col);
|
|
const auto & null_map = nullable_col.getNullMapData();
|
|
|
|
if (!memoryIsZero(null_map.data(), 0, null_map.size()))
|
|
throw Exception(ErrorCodes::CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN, "Cannot convert NULL value to non-Nullable type");
|
|
}
|
|
const ColumnNullable * nullable_source = typeid_cast<const ColumnNullable *>(arguments.front().column.get());
|
|
return wrapper(tmp_args, nested_type, nullable_source, input_rows_count);
|
|
};
|
|
}
|
|
else
|
|
return wrapper;
|
|
}
|
|
|
|
/// 'from_type' and 'to_type' are nested types in case of Nullable.
|
|
/// 'requested_result_is_nullable' is true if CAST to Nullable type is requested.
|
|
WrapperType prepareImpl(const DataTypePtr & from_type, const DataTypePtr & to_type, bool requested_result_is_nullable) const
|
|
{
|
|
if (isUInt8(from_type) && isBool(to_type))
|
|
return createUInt8ToBoolWrapper(from_type, to_type);
|
|
|
|
/// We can cast IPv6 into IPv6, IPv4 into IPv4, but we should not allow to cast FixedString(16) into IPv6 as part of identity cast
|
|
bool safe_convert_custom_types = true;
|
|
|
|
if (const auto * to_type_custom_name = to_type->getCustomName())
|
|
safe_convert_custom_types = from_type->getCustomName() && from_type->getCustomName()->getName() == to_type_custom_name->getName();
|
|
else if (const auto * from_type_custom_name = from_type->getCustomName())
|
|
safe_convert_custom_types = to_type->getCustomName() && from_type_custom_name->getName() == to_type->getCustomName()->getName();
|
|
|
|
if (from_type->equals(*to_type) && safe_convert_custom_types)
|
|
return createIdentityWrapper(from_type);
|
|
else if (WhichDataType(from_type).isNothing())
|
|
return createNothingWrapper(to_type.get());
|
|
|
|
WrapperType ret;
|
|
|
|
auto make_default_wrapper = [&](const auto & types) -> bool
|
|
{
|
|
using Types = std::decay_t<decltype(types)>;
|
|
using ToDataType = typename Types::LeftType;
|
|
|
|
if constexpr (
|
|
std::is_same_v<ToDataType, DataTypeUInt16> ||
|
|
std::is_same_v<ToDataType, DataTypeUInt32> ||
|
|
std::is_same_v<ToDataType, DataTypeUInt64> ||
|
|
std::is_same_v<ToDataType, DataTypeUInt128> ||
|
|
std::is_same_v<ToDataType, DataTypeUInt256> ||
|
|
std::is_same_v<ToDataType, DataTypeInt8> ||
|
|
std::is_same_v<ToDataType, DataTypeInt16> ||
|
|
std::is_same_v<ToDataType, DataTypeInt32> ||
|
|
std::is_same_v<ToDataType, DataTypeInt64> ||
|
|
std::is_same_v<ToDataType, DataTypeInt128> ||
|
|
std::is_same_v<ToDataType, DataTypeInt256> ||
|
|
std::is_same_v<ToDataType, DataTypeFloat32> ||
|
|
std::is_same_v<ToDataType, DataTypeFloat64> ||
|
|
std::is_same_v<ToDataType, DataTypeDate> ||
|
|
std::is_same_v<ToDataType, DataTypeDate32> ||
|
|
std::is_same_v<ToDataType, DataTypeDateTime> ||
|
|
std::is_same_v<ToDataType, DataTypeUUID> ||
|
|
std::is_same_v<ToDataType, DataTypeIPv4> ||
|
|
std::is_same_v<ToDataType, DataTypeIPv6>)
|
|
{
|
|
ret = createWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable);
|
|
return true;
|
|
}
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeUInt8>)
|
|
{
|
|
if (isBool(to_type))
|
|
ret = createBoolWrapper<ToDataType>(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable);
|
|
else
|
|
ret = createWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable);
|
|
return true;
|
|
}
|
|
if constexpr (
|
|
std::is_same_v<ToDataType, DataTypeEnum8> ||
|
|
std::is_same_v<ToDataType, DataTypeEnum16>)
|
|
{
|
|
ret = createEnumWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()));
|
|
return true;
|
|
}
|
|
if constexpr (
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal32>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal64>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal128>> ||
|
|
std::is_same_v<ToDataType, DataTypeDecimal<Decimal256>> ||
|
|
std::is_same_v<ToDataType, DataTypeDateTime64>)
|
|
{
|
|
ret = createDecimalWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable);
|
|
return true;
|
|
}
|
|
|
|
return false;
|
|
};
|
|
|
|
bool cast_ipv4_ipv6_default_on_conversion_error_value = context && context->getSettingsRef().cast_ipv4_ipv6_default_on_conversion_error;
|
|
bool input_format_ipv4_default_on_conversion_error_value = context && context->getSettingsRef().input_format_ipv4_default_on_conversion_error;
|
|
bool input_format_ipv6_default_on_conversion_error_value = context && context->getSettingsRef().input_format_ipv6_default_on_conversion_error;
|
|
|
|
auto make_custom_serialization_wrapper = [&, cast_ipv4_ipv6_default_on_conversion_error_value, input_format_ipv4_default_on_conversion_error_value, input_format_ipv6_default_on_conversion_error_value](const auto & types) -> bool
|
|
{
|
|
using Types = std::decay_t<decltype(types)>;
|
|
using ToDataType = typename Types::RightType;
|
|
using FromDataType = typename Types::LeftType;
|
|
|
|
if constexpr (WhichDataType(FromDataType::type_id).isStringOrFixedString())
|
|
{
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeIPv4>)
|
|
{
|
|
ret = [cast_ipv4_ipv6_default_on_conversion_error_value, input_format_ipv4_default_on_conversion_error_value, requested_result_is_nullable](
|
|
ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * column_nullable, size_t)
|
|
-> ColumnPtr
|
|
{
|
|
if (!WhichDataType(result_type).isIPv4())
|
|
throw Exception(ErrorCodes::TYPE_MISMATCH, "Wrong result type {}. Expected IPv4", result_type->getName());
|
|
|
|
const auto * null_map = column_nullable ? &column_nullable->getNullMapData() : nullptr;
|
|
if (cast_ipv4_ipv6_default_on_conversion_error_value || input_format_ipv4_default_on_conversion_error_value || requested_result_is_nullable)
|
|
return convertToIPv4<IPStringToNumExceptionMode::Default>(arguments[0].column, null_map);
|
|
else
|
|
return convertToIPv4<IPStringToNumExceptionMode::Throw>(arguments[0].column, null_map);
|
|
};
|
|
|
|
return true;
|
|
}
|
|
|
|
if constexpr (std::is_same_v<ToDataType, DataTypeIPv6>)
|
|
{
|
|
ret = [cast_ipv4_ipv6_default_on_conversion_error_value, input_format_ipv6_default_on_conversion_error_value, requested_result_is_nullable](
|
|
ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * column_nullable, size_t)
|
|
-> ColumnPtr
|
|
{
|
|
if (!WhichDataType(result_type).isIPv6())
|
|
throw Exception(
|
|
ErrorCodes::TYPE_MISMATCH, "Wrong result type {}. Expected IPv6", result_type->getName());
|
|
|
|
const auto * null_map = column_nullable ? &column_nullable->getNullMapData() : nullptr;
|
|
if (cast_ipv4_ipv6_default_on_conversion_error_value || input_format_ipv6_default_on_conversion_error_value || requested_result_is_nullable)
|
|
return convertToIPv6<IPStringToNumExceptionMode::Default>(arguments[0].column, null_map);
|
|
else
|
|
return convertToIPv6<IPStringToNumExceptionMode::Throw>(arguments[0].column, null_map);
|
|
};
|
|
|
|
return true;
|
|
}
|
|
|
|
if (to_type->getCustomSerialization() && to_type->getCustomName())
|
|
{
|
|
ret = &ConvertImplGenericFromString<typename FromDataType::ColumnType>::execute;
|
|
return true;
|
|
}
|
|
}
|
|
if constexpr (WhichDataType(ToDataType::type_id).isStringOrFixedString())
|
|
{
|
|
if (from_type->getCustomSerialization())
|
|
{
|
|
ret = [](ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *, size_t input_rows_count) -> ColumnPtr
|
|
{
|
|
return ConvertImplGenericToString<typename ToDataType::ColumnType>::execute(arguments, result_type, input_rows_count);
|
|
};
|
|
return true;
|
|
}
|
|
}
|
|
|
|
return false;
|
|
};
|
|
|
|
if (callOnTwoTypeIndexes(from_type->getTypeId(), to_type->getTypeId(), make_custom_serialization_wrapper))
|
|
return ret;
|
|
|
|
if (callOnIndexAndDataType<void>(to_type->getTypeId(), make_default_wrapper))
|
|
return ret;
|
|
|
|
switch (to_type->getTypeId())
|
|
{
|
|
case TypeIndex::String:
|
|
return createStringWrapper(from_type);
|
|
case TypeIndex::FixedString:
|
|
return createFixedStringWrapper(from_type, checkAndGetDataType<DataTypeFixedString>(to_type.get())->getN());
|
|
case TypeIndex::Array:
|
|
return createArrayWrapper(from_type, static_cast<const DataTypeArray &>(*to_type));
|
|
case TypeIndex::Tuple:
|
|
return createTupleWrapper(from_type, checkAndGetDataType<DataTypeTuple>(to_type.get()));
|
|
case TypeIndex::Map:
|
|
return createMapWrapper(from_type, checkAndGetDataType<DataTypeMap>(to_type.get()));
|
|
case TypeIndex::Object:
|
|
return createObjectWrapper(from_type, checkAndGetDataType<DataTypeObject>(to_type.get()));
|
|
case TypeIndex::AggregateFunction:
|
|
return createAggregateFunctionWrapper(from_type, checkAndGetDataType<DataTypeAggregateFunction>(to_type.get()));
|
|
case TypeIndex::Interval:
|
|
return createIntervalWrapper(from_type, checkAndGetDataType<DataTypeInterval>(to_type.get())->getKind());
|
|
default:
|
|
break;
|
|
}
|
|
|
|
if (cast_type == CastType::accurateOrNull)
|
|
return createToNullableColumnWrapper();
|
|
else
|
|
throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE, "Conversion from {} to {} is not supported",
|
|
from_type->getName(), to_type->getName());
|
|
}
|
|
};
|
|
|
|
class MonotonicityHelper
|
|
{
|
|
public:
|
|
using MonotonicityForRange = FunctionCastBase::MonotonicityForRange;
|
|
|
|
template <typename DataType>
|
|
static auto monotonicityForType(const DataType * const)
|
|
{
|
|
return FunctionTo<DataType>::Type::Monotonic::get;
|
|
}
|
|
|
|
static MonotonicityForRange getMonotonicityInformation(const DataTypePtr & from_type, const IDataType * to_type)
|
|
{
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt8>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt16>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt32>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt64>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt128>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeUInt256>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt8>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt16>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt32>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt64>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt128>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeInt256>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeFloat32>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeFloat64>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeDate>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeDate32>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeDateTime>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeString>(to_type))
|
|
return monotonicityForType(type);
|
|
if (isEnum(from_type))
|
|
{
|
|
if (const auto * type = checkAndGetDataType<DataTypeEnum8>(to_type))
|
|
return monotonicityForType(type);
|
|
if (const auto * type = checkAndGetDataType<DataTypeEnum16>(to_type))
|
|
return monotonicityForType(type);
|
|
}
|
|
/// other types like Null, FixedString, Array and Tuple have no monotonicity defined
|
|
return {};
|
|
}
|
|
};
|
|
|
|
}
|