| 1 | #pragma once |
| 2 | |
| 3 | #include <ext/enumerate.h> |
| 4 | #include <ext/collection_cast.h> |
| 5 | #include <ext/range.h> |
| 6 | #include <type_traits> |
| 7 | |
| 8 | #include <IO/WriteBufferFromVector.h> |
| 9 | #include <IO/ReadBufferFromMemory.h> |
| 10 | #include <IO/Operators.h> |
| 11 | #include <IO/parseDateTimeBestEffort.h> |
| 12 | #include <DataTypes/DataTypeFactory.h> |
| 13 | #include <DataTypes/DataTypesNumber.h> |
| 14 | #include <DataTypes/DataTypesDecimal.h> |
| 15 | #include <DataTypes/DataTypeString.h> |
| 16 | #include <DataTypes/DataTypeFixedString.h> |
| 17 | #include <DataTypes/DataTypeDate.h> |
| 18 | #include <DataTypes/DataTypeDateTime.h> |
| 19 | #include <DataTypes/DataTypeDateTime64.h> |
| 20 | #include <DataTypes/DataTypeEnum.h> |
| 21 | #include <DataTypes/DataTypeArray.h> |
| 22 | #include <DataTypes/DataTypeTuple.h> |
| 23 | #include <DataTypes/DataTypeNullable.h> |
| 24 | #include <DataTypes/DataTypeNothing.h> |
| 25 | #include <DataTypes/DataTypeUUID.h> |
| 26 | #include <DataTypes/DataTypeInterval.h> |
| 27 | #include <DataTypes/DataTypeAggregateFunction.h> |
| 28 | #include <Formats/FormatSettings.h> |
| 29 | #include <Columns/ColumnString.h> |
| 30 | #include <Columns/ColumnFixedString.h> |
| 31 | #include <Columns/ColumnConst.h> |
| 32 | #include <Columns/ColumnArray.h> |
| 33 | #include <Columns/ColumnNullable.h> |
| 34 | #include <Columns/ColumnTuple.h> |
| 35 | #include <Columns/ColumnsCommon.h> |
| 36 | #include <Common/FieldVisitors.h> |
| 37 | #include <Common/assert_cast.h> |
| 38 | #include <Interpreters/ExpressionActions.h> |
| 39 | #include <Functions/IFunctionAdaptors.h> |
| 40 | #include <Functions/FunctionsMiscellaneous.h> |
| 41 | #include <Functions/FunctionHelpers.h> |
| 42 | #include <Functions/DateTimeTransforms.h> |
| 43 | #include <DataTypes/DataTypeLowCardinality.h> |
| 44 | #include <Columns/ColumnLowCardinality.h> |
| 45 | |
| 46 | |
| 47 | namespace DB |
| 48 | { |
| 49 | |
| 50 | namespace ErrorCodes |
| 51 | { |
| 52 | extern const int ATTEMPT_TO_READ_AFTER_EOF; |
| 53 | extern const int CANNOT_PARSE_NUMBER; |
| 54 | extern const int CANNOT_READ_ARRAY_FROM_TEXT; |
| 55 | extern const int CANNOT_PARSE_INPUT_ASSERTION_FAILED; |
| 56 | extern const int CANNOT_PARSE_QUOTED_STRING; |
| 57 | extern const int CANNOT_PARSE_ESCAPE_SEQUENCE; |
| 58 | extern const int CANNOT_PARSE_DATE; |
| 59 | extern const int CANNOT_PARSE_DATETIME; |
| 60 | extern const int CANNOT_PARSE_TEXT; |
| 61 | extern const int CANNOT_PARSE_UUID; |
| 62 | extern const int TOO_LARGE_STRING_SIZE; |
| 63 | extern const int TOO_FEW_ARGUMENTS_FOR_FUNCTION; |
| 64 | extern const int LOGICAL_ERROR; |
| 65 | extern const int TYPE_MISMATCH; |
| 66 | extern const int CANNOT_CONVERT_TYPE; |
| 67 | extern const int ILLEGAL_COLUMN; |
| 68 | extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH; |
| 69 | extern const int ILLEGAL_TYPE_OF_ARGUMENT; |
| 70 | extern const int NOT_IMPLEMENTED; |
| 71 | extern const int CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN; |
| 72 | } |
| 73 | |
| 74 | |
| 75 | /** Type conversion functions. |
| 76 | * toType - conversion in "natural way"; |
| 77 | */ |
| 78 | |
| 79 | inline UInt32 extractToDecimalScale(const ColumnWithTypeAndName & named_column) |
| 80 | { |
| 81 | const auto * arg_type = named_column.type.get(); |
| 82 | bool ok = checkAndGetDataType<DataTypeUInt64>(arg_type) |
| 83 | || checkAndGetDataType<DataTypeUInt32>(arg_type) |
| 84 | || checkAndGetDataType<DataTypeUInt16>(arg_type) |
| 85 | || checkAndGetDataType<DataTypeUInt8>(arg_type); |
| 86 | if (!ok) |
| 87 | throw Exception("Illegal type of toDecimal() scale " + named_column.type->getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 88 | |
| 89 | Field field; |
| 90 | named_column.column->get(0, field); |
| 91 | return field.get<UInt32>(); |
| 92 | } |
| 93 | |
| 94 | |
| 95 | /** Conversion of number types to each other, enums to numbers, dates and datetimes to numbers and back: done by straight assignment. |
| 96 | * (Date is represented internally as number of days from some day; DateTime - as unix timestamp) |
| 97 | */ |
| 98 | template <typename FromDataType, typename ToDataType, typename Name> |
| 99 | struct ConvertImpl |
| 100 | { |
| 101 | using FromFieldType = typename FromDataType::FieldType; |
| 102 | using ToFieldType = typename ToDataType::FieldType; |
| 103 | |
| 104 | template <typename Additions = void *> |
| 105 | static void NO_SANITIZE_UNDEFINED execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/, |
| 106 | Additions additions [[maybe_unused]] = Additions()) |
| 107 | { |
| 108 | const ColumnWithTypeAndName & named_from = block.getByPosition(arguments[0]); |
| 109 | |
| 110 | using ColVecFrom = typename FromDataType::ColumnType; |
| 111 | using ColVecTo = typename ToDataType::ColumnType; |
| 112 | |
| 113 | if constexpr ((IsDataTypeDecimal<FromDataType> || IsDataTypeDecimal<ToDataType>) |
| 114 | && !(std::is_same_v<DataTypeDateTime64, FromDataType> || std::is_same_v<DataTypeDateTime64, ToDataType>)) |
| 115 | { |
| 116 | if constexpr (!IsDataTypeDecimalOrNumber<FromDataType> || !IsDataTypeDecimalOrNumber<ToDataType>) |
| 117 | { |
| 118 | throw Exception("Illegal column " + named_from.column->getName() + " of first argument of function " + Name::name, |
| 119 | ErrorCodes::ILLEGAL_COLUMN); |
| 120 | } |
| 121 | } |
| 122 | |
| 123 | if (const ColVecFrom * col_from = checkAndGetColumn<ColVecFrom>(named_from.column.get())) |
| 124 | { |
| 125 | typename ColVecTo::MutablePtr col_to = nullptr; |
| 126 | if constexpr (IsDataTypeDecimal<ToDataType>) |
| 127 | { |
| 128 | UInt32 scale = additions; |
| 129 | col_to = ColVecTo::create(0, scale); |
| 130 | } |
| 131 | else |
| 132 | col_to = ColVecTo::create(); |
| 133 | |
| 134 | const auto & vec_from = col_from->getData(); |
| 135 | auto & vec_to = col_to->getData(); |
| 136 | size_t size = vec_from.size(); |
| 137 | vec_to.resize(size); |
| 138 | |
| 139 | for (size_t i = 0; i < size; ++i) |
| 140 | { |
| 141 | if constexpr (IsDataTypeDecimal<FromDataType> || IsDataTypeDecimal<ToDataType>) |
| 142 | { |
| 143 | if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeDecimal<ToDataType>) |
| 144 | vec_to[i] = convertDecimals<FromDataType, ToDataType>(vec_from[i], vec_from.getScale(), vec_to.getScale()); |
| 145 | else if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeNumber<ToDataType>) |
| 146 | vec_to[i] = convertFromDecimal<FromDataType, ToDataType>(vec_from[i], vec_from.getScale()); |
| 147 | else if constexpr (IsDataTypeNumber<FromDataType> && IsDataTypeDecimal<ToDataType>) |
| 148 | vec_to[i] = convertToDecimal<FromDataType, ToDataType>(vec_from[i], vec_to.getScale()); |
| 149 | } |
| 150 | else |
| 151 | vec_to[i] = static_cast<ToFieldType>(vec_from[i]); |
| 152 | } |
| 153 | |
| 154 | block.getByPosition(result).column = std::move(col_to); |
| 155 | } |
| 156 | else |
| 157 | throw Exception("Illegal column " + named_from.column->getName() + " of first argument of function " + Name::name, |
| 158 | ErrorCodes::ILLEGAL_COLUMN); |
| 159 | } |
| 160 | }; |
| 161 | |
| 162 | /** Conversion of DateTime to Date: throw off time component. |
| 163 | */ |
| 164 | template <typename Name> struct ConvertImpl<DataTypeDateTime, DataTypeDate, Name> |
| 165 | : DateTimeTransformImpl<DataTypeDateTime, DataTypeDate, ToDateImpl> {}; |
| 166 | |
| 167 | |
| 168 | /** Conversion of Date to DateTime: adding 00:00:00 time component. |
| 169 | */ |
| 170 | struct ToDateTimeImpl |
| 171 | { |
| 172 | static constexpr auto name = "toDateTime" ; |
| 173 | |
| 174 | static inline UInt32 execute(UInt16 d, const DateLUTImpl & time_zone) |
| 175 | { |
| 176 | return time_zone.fromDayNum(DayNum(d)); |
| 177 | } |
| 178 | |
| 179 | // no-op conversion from DateTime to DateTime, used in DateTime64 to DateTime conversion. |
| 180 | static inline UInt32 execute(UInt32 d, const DateLUTImpl & /*time_zone*/) |
| 181 | { |
| 182 | return d; |
| 183 | } |
| 184 | }; |
| 185 | |
| 186 | template <typename Name> struct ConvertImpl<DataTypeDate, DataTypeDateTime, Name> |
| 187 | : DateTimeTransformImpl<DataTypeDate, DataTypeDateTime, ToDateTimeImpl> {}; |
| 188 | |
| 189 | /// Implementation of toDate function. |
| 190 | |
| 191 | template <typename FromType, typename ToType> |
| 192 | struct ToDateTransform32Or64 |
| 193 | { |
| 194 | static constexpr auto name = "toDate" ; |
| 195 | |
| 196 | static inline NO_SANITIZE_UNDEFINED ToType execute(const FromType & from, const DateLUTImpl & time_zone) |
| 197 | { |
| 198 | return (from < 0xFFFF) ? from : time_zone.toDayNum(from); |
| 199 | } |
| 200 | }; |
| 201 | |
| 202 | /** Special case of converting (U)Int32 or (U)Int64 (and also, for convenience, Float32, Float64) to Date. |
| 203 | * If number is less than 65536, then it is treated as DayNum, and if greater or equals, then as unix timestamp. |
| 204 | * It's a bit illogical, as we actually have two functions in one. |
| 205 | * But allows to support frequent case, |
| 206 | * when user write toDate(UInt32), expecting conversion of unix timestamp to Date. |
| 207 | * (otherwise such usage would be frequent mistake). |
| 208 | */ |
| 209 | template <typename Name> struct ConvertImpl<DataTypeUInt32, DataTypeDate, Name> |
| 210 | : DateTimeTransformImpl<DataTypeUInt32, DataTypeDate, ToDateTransform32Or64<UInt32, UInt16>> {}; |
| 211 | template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDate, Name> |
| 212 | : DateTimeTransformImpl<DataTypeUInt64, DataTypeDate, ToDateTransform32Or64<UInt64, UInt16>> {}; |
| 213 | template <typename Name> struct ConvertImpl<DataTypeInt32, DataTypeDate, Name> |
| 214 | : DateTimeTransformImpl<DataTypeInt32, DataTypeDate, ToDateTransform32Or64<Int32, UInt16>> {}; |
| 215 | template <typename Name> struct ConvertImpl<DataTypeInt64, DataTypeDate, Name> |
| 216 | : DateTimeTransformImpl<DataTypeInt64, DataTypeDate, ToDateTransform32Or64<Int64, UInt16>> {}; |
| 217 | template <typename Name> struct ConvertImpl<DataTypeFloat32, DataTypeDate, Name> |
| 218 | : DateTimeTransformImpl<DataTypeFloat32, DataTypeDate, ToDateTransform32Or64<Float32, UInt16>> {}; |
| 219 | template <typename Name> struct ConvertImpl<DataTypeFloat64, DataTypeDate, Name> |
| 220 | : DateTimeTransformImpl<DataTypeFloat64, DataTypeDate, ToDateTransform32Or64<Float64, UInt16>> {}; |
| 221 | |
| 222 | |
| 223 | /** Conversion of Date or DateTime to DateTime64: add zero sub-second part. |
| 224 | */ |
| 225 | struct ToDateTime64Transform |
| 226 | { |
| 227 | static constexpr auto name = "toDateTime64" ; |
| 228 | |
| 229 | const DateTime64::NativeType scale_multiplier = 1; |
| 230 | |
| 231 | ToDateTime64Transform(UInt32 scale = 0) |
| 232 | : scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale)) |
| 233 | {} |
| 234 | |
| 235 | inline DateTime64::NativeType execute(UInt16 d, const DateLUTImpl & time_zone) const |
| 236 | { |
| 237 | const auto dt = ToDateTimeImpl::execute(d, time_zone); |
| 238 | return execute(dt, time_zone); |
| 239 | } |
| 240 | |
| 241 | inline DateTime64::NativeType execute(UInt32 dt, const DateLUTImpl & /*time_zone*/) const |
| 242 | { |
| 243 | return DecimalUtils::decimalFromComponentsWithMultiplier<DateTime64>(dt, 0, scale_multiplier); |
| 244 | } |
| 245 | }; |
| 246 | |
| 247 | template <typename Name> struct ConvertImpl<DataTypeDate, DataTypeDateTime64, Name> |
| 248 | : DateTimeTransformImpl<DataTypeDate, DataTypeDateTime64, ToDateTime64Transform> {}; |
| 249 | template <typename Name> struct ConvertImpl<DataTypeDateTime, DataTypeDateTime64, Name> |
| 250 | : DateTimeTransformImpl<DataTypeDateTime, DataTypeDateTime64, ToDateTime64Transform> {}; |
| 251 | |
| 252 | /** Conversion of DateTime64 to Date or DateTime: discards fractional part. |
| 253 | */ |
| 254 | template <typename Transform> |
| 255 | struct FromDateTime64Transform |
| 256 | { |
| 257 | static constexpr auto name = Transform::name; |
| 258 | |
| 259 | const DateTime64::NativeType scale_multiplier = 1; |
| 260 | |
| 261 | FromDateTime64Transform(UInt32 scale) |
| 262 | : scale_multiplier(DecimalUtils::scaleMultiplier<DateTime64::NativeType>(scale)) |
| 263 | {} |
| 264 | |
| 265 | inline auto execute(DateTime64::NativeType dt, const DateLUTImpl & time_zone) const |
| 266 | { |
| 267 | const auto c = DecimalUtils::splitWithScaleMultiplier(DateTime64(dt), scale_multiplier); |
| 268 | return Transform::execute(static_cast<UInt32>(c.whole), time_zone); |
| 269 | } |
| 270 | }; |
| 271 | |
| 272 | template <typename Name> struct ConvertImpl<DataTypeDateTime64, DataTypeDate, Name> |
| 273 | : DateTimeTransformImpl<DataTypeDateTime64, DataTypeDate, FromDateTime64Transform<ToDateImpl>> {}; |
| 274 | template <typename Name> struct ConvertImpl<DataTypeDateTime64, DataTypeDateTime, Name> |
| 275 | : DateTimeTransformImpl<DataTypeDateTime64, DataTypeDateTime, FromDateTime64Transform<ToDateTimeImpl>> {}; |
| 276 | |
| 277 | |
| 278 | /** Transformation of numbers, dates, datetimes to strings: through formatting. |
| 279 | */ |
| 280 | template <typename DataType> |
| 281 | struct FormatImpl |
| 282 | { |
| 283 | static void execute(const typename DataType::FieldType x, WriteBuffer & wb, const DataType *, const DateLUTImpl *) |
| 284 | { |
| 285 | writeText(x, wb); |
| 286 | } |
| 287 | }; |
| 288 | |
| 289 | template <> |
| 290 | struct FormatImpl<DataTypeDate> |
| 291 | { |
| 292 | static void execute(const DataTypeDate::FieldType x, WriteBuffer & wb, const DataTypeDate *, const DateLUTImpl *) |
| 293 | { |
| 294 | writeDateText(DayNum(x), wb); |
| 295 | } |
| 296 | }; |
| 297 | |
| 298 | template <> |
| 299 | struct FormatImpl<DataTypeDateTime> |
| 300 | { |
| 301 | static void execute(const DataTypeDateTime::FieldType x, WriteBuffer & wb, const DataTypeDateTime *, const DateLUTImpl * time_zone) |
| 302 | { |
| 303 | writeDateTimeText(x, wb, *time_zone); |
| 304 | } |
| 305 | }; |
| 306 | |
| 307 | template <> |
| 308 | struct FormatImpl<DataTypeDateTime64> |
| 309 | { |
| 310 | static void execute(const DataTypeDateTime64::FieldType x, WriteBuffer & wb, const DataTypeDateTime64 * type, const DateLUTImpl * time_zone) |
| 311 | { |
| 312 | writeDateTimeText(DateTime64(x), type->getScale(), wb, *time_zone); |
| 313 | } |
| 314 | }; |
| 315 | |
| 316 | |
| 317 | template <typename FieldType> |
| 318 | struct FormatImpl<DataTypeEnum<FieldType>> |
| 319 | { |
| 320 | static void execute(const FieldType x, WriteBuffer & wb, const DataTypeEnum<FieldType> * type, const DateLUTImpl *) |
| 321 | { |
| 322 | writeString(type->getNameForValue(x), wb); |
| 323 | } |
| 324 | }; |
| 325 | |
| 326 | template <typename FieldType> |
| 327 | struct FormatImpl<DataTypeDecimal<FieldType>> |
| 328 | { |
| 329 | static void execute(const FieldType x, WriteBuffer & wb, const DataTypeDecimal<FieldType> * type, const DateLUTImpl *) |
| 330 | { |
| 331 | writeText(x, type->getScale(), wb); |
| 332 | } |
| 333 | }; |
| 334 | |
| 335 | |
| 336 | /// DataTypeEnum<T> to DataType<T> free conversion |
| 337 | template <typename FieldType, typename Name> |
| 338 | struct ConvertImpl<DataTypeEnum<FieldType>, DataTypeNumber<FieldType>, Name> |
| 339 | { |
| 340 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) |
| 341 | { |
| 342 | block.getByPosition(result).column = block.getByPosition(arguments[0]).column; |
| 343 | } |
| 344 | }; |
| 345 | |
| 346 | |
| 347 | template <typename FromDataType, typename Name> |
| 348 | struct ConvertImpl<FromDataType, std::enable_if_t<!std::is_same_v<FromDataType, DataTypeString>, DataTypeString>, Name> |
| 349 | { |
| 350 | using FromFieldType = typename FromDataType::FieldType; |
| 351 | using ColVecType = std::conditional_t<IsDecimalNumber<FromFieldType>, ColumnDecimal<FromFieldType>, ColumnVector<FromFieldType>>; |
| 352 | |
| 353 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) |
| 354 | { |
| 355 | const auto & col_with_type_and_name = block.getByPosition(arguments[0]); |
| 356 | const auto & type = static_cast<const FromDataType &>(*col_with_type_and_name.type); |
| 357 | |
| 358 | const DateLUTImpl * time_zone = nullptr; |
| 359 | |
| 360 | /// For argument of DateTime type, second argument with time zone could be specified. |
| 361 | if constexpr (std::is_same_v<FromDataType, DataTypeDateTime> || std::is_same_v<FromDataType, DataTypeDateTime64>) |
| 362 | time_zone = &extractTimeZoneFromFunctionArguments(block, arguments, 1, 0); |
| 363 | |
| 364 | if (const auto col_from = checkAndGetColumn<ColVecType>(col_with_type_and_name.column.get())) |
| 365 | { |
| 366 | auto col_to = ColumnString::create(); |
| 367 | |
| 368 | const typename ColVecType::Container & vec_from = col_from->getData(); |
| 369 | ColumnString::Chars & data_to = col_to->getChars(); |
| 370 | ColumnString::Offsets & offsets_to = col_to->getOffsets(); |
| 371 | size_t size = vec_from.size(); |
| 372 | |
| 373 | if constexpr (std::is_same_v<FromDataType, DataTypeDate>) |
| 374 | data_to.resize(size * (strlen("YYYY-MM-DD" ) + 1)); |
| 375 | else if constexpr (std::is_same_v<FromDataType, DataTypeDateTime>) |
| 376 | data_to.resize(size * (strlen("YYYY-MM-DD hh:mm:ss" ) + 1)); |
| 377 | else if constexpr (std::is_same_v<FromDataType, DataTypeDateTime64>) |
| 378 | data_to.resize(size * (strlen("YYYY-MM-DD hh:mm:ss." ) + vec_from.getScale() + 1)); |
| 379 | else |
| 380 | data_to.resize(size * 3); /// Arbitary |
| 381 | |
| 382 | offsets_to.resize(size); |
| 383 | |
| 384 | WriteBufferFromVector<ColumnString::Chars> write_buffer(data_to); |
| 385 | |
| 386 | for (size_t i = 0; i < size; ++i) |
| 387 | { |
| 388 | FormatImpl<FromDataType>::execute(vec_from[i], write_buffer, &type, time_zone); |
| 389 | writeChar(0, write_buffer); |
| 390 | offsets_to[i] = write_buffer.count(); |
| 391 | } |
| 392 | |
| 393 | write_buffer.finish(); |
| 394 | block.getByPosition(result).column = std::move(col_to); |
| 395 | } |
| 396 | else |
| 397 | throw Exception("Illegal column " + block.getByPosition(arguments[0]).column->getName() |
| 398 | + " of first argument of function " + Name::name, |
| 399 | ErrorCodes::ILLEGAL_COLUMN); |
| 400 | } |
| 401 | }; |
| 402 | |
| 403 | |
| 404 | /// Generic conversion of any type to String. |
| 405 | struct ConvertImplGenericToString |
| 406 | { |
| 407 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result) |
| 408 | { |
| 409 | const auto & col_with_type_and_name = block.getByPosition(arguments[0]); |
| 410 | const IDataType & type = *col_with_type_and_name.type; |
| 411 | const IColumn & col_from = *col_with_type_and_name.column; |
| 412 | |
| 413 | size_t size = col_from.size(); |
| 414 | |
| 415 | auto col_to = ColumnString::create(); |
| 416 | |
| 417 | ColumnString::Chars & data_to = col_to->getChars(); |
| 418 | ColumnString::Offsets & offsets_to = col_to->getOffsets(); |
| 419 | |
| 420 | data_to.resize(size * 2); /// Using coefficient 2 for initial size is arbitrary. |
| 421 | offsets_to.resize(size); |
| 422 | |
| 423 | WriteBufferFromVector<ColumnString::Chars> write_buffer(data_to); |
| 424 | |
| 425 | FormatSettings format_settings; |
| 426 | for (size_t i = 0; i < size; ++i) |
| 427 | { |
| 428 | type.serializeAsText(col_from, i, write_buffer, format_settings); |
| 429 | writeChar(0, write_buffer); |
| 430 | offsets_to[i] = write_buffer.count(); |
| 431 | } |
| 432 | |
| 433 | write_buffer.finish(); |
| 434 | block.getByPosition(result).column = std::move(col_to); |
| 435 | } |
| 436 | }; |
| 437 | |
| 438 | |
| 439 | /** Conversion of strings to numbers, dates, datetimes: through parsing. |
| 440 | */ |
| 441 | template <typename DataType> |
| 442 | void parseImpl(typename DataType::FieldType & x, ReadBuffer & rb, const DateLUTImpl *) |
| 443 | { |
| 444 | readText(x, rb); |
| 445 | } |
| 446 | |
| 447 | template <> |
| 448 | inline void parseImpl<DataTypeDate>(DataTypeDate::FieldType & x, ReadBuffer & rb, const DateLUTImpl *) |
| 449 | { |
| 450 | DayNum tmp(0); |
| 451 | readDateText(tmp, rb); |
| 452 | x = tmp; |
| 453 | } |
| 454 | |
| 455 | template <> |
| 456 | inline void parseImpl<DataTypeDateTime>(DataTypeDateTime::FieldType & x, ReadBuffer & rb, const DateLUTImpl * time_zone) |
| 457 | { |
| 458 | time_t tmp = 0; |
| 459 | readDateTimeText(tmp, rb, *time_zone); |
| 460 | x = tmp; |
| 461 | } |
| 462 | |
| 463 | template <> |
| 464 | inline void parseImpl<DataTypeUUID>(DataTypeUUID::FieldType & x, ReadBuffer & rb, const DateLUTImpl *) |
| 465 | { |
| 466 | UUID tmp; |
| 467 | readText(tmp, rb); |
| 468 | x = tmp; |
| 469 | } |
| 470 | |
| 471 | |
| 472 | template <typename DataType> |
| 473 | bool tryParseImpl(typename DataType::FieldType & x, ReadBuffer & rb, const DateLUTImpl *) |
| 474 | { |
| 475 | if constexpr (std::is_floating_point_v<typename DataType::FieldType>) |
| 476 | return tryReadFloatText(x, rb); |
| 477 | else /*if constexpr (is_integral_v<typename DataType::FieldType>)*/ |
| 478 | return tryReadIntText(x, rb); |
| 479 | } |
| 480 | |
| 481 | template <> |
| 482 | inline bool tryParseImpl<DataTypeDate>(DataTypeDate::FieldType & x, ReadBuffer & rb, const DateLUTImpl *) |
| 483 | { |
| 484 | DayNum tmp(0); |
| 485 | if (!tryReadDateText(tmp, rb)) |
| 486 | return false; |
| 487 | x = tmp; |
| 488 | return true; |
| 489 | } |
| 490 | |
| 491 | template <> |
| 492 | inline bool tryParseImpl<DataTypeDateTime>(DataTypeDateTime::FieldType & x, ReadBuffer & rb, const DateLUTImpl * time_zone) |
| 493 | { |
| 494 | time_t tmp = 0; |
| 495 | if (!tryReadDateTimeText(tmp, rb, *time_zone)) |
| 496 | return false; |
| 497 | x = tmp; |
| 498 | return true; |
| 499 | } |
| 500 | |
| 501 | |
| 502 | /** Throw exception with verbose message when string value is not parsed completely. |
| 503 | */ |
| 504 | [[noreturn]] inline void throwExceptionForIncompletelyParsedValue(ReadBuffer & read_buffer, Block & block, size_t result) |
| 505 | { |
| 506 | const IDataType & to_type = *block.getByPosition(result).type; |
| 507 | |
| 508 | WriteBufferFromOwnString message_buf; |
| 509 | message_buf << "Cannot parse string " << quote << String(read_buffer.buffer().begin(), read_buffer.buffer().size()) |
| 510 | << " as " << to_type.getName() |
| 511 | << ": syntax error" ; |
| 512 | |
| 513 | if (read_buffer.offset()) |
| 514 | message_buf << " at position " << read_buffer.offset() |
| 515 | << " (parsed just " << quote << String(read_buffer.buffer().begin(), read_buffer.offset()) << ")" ; |
| 516 | else |
| 517 | message_buf << " at begin of string" ; |
| 518 | |
| 519 | if (isNativeNumber(to_type)) |
| 520 | message_buf << ". Note: there are to" << to_type.getName() << "OrZero and to" << to_type.getName() << "OrNull functions, which returns zero/NULL instead of throwing exception." ; |
| 521 | |
| 522 | throw Exception(message_buf.str(), ErrorCodes::CANNOT_PARSE_TEXT); |
| 523 | } |
| 524 | |
| 525 | |
| 526 | enum class ConvertFromStringExceptionMode |
| 527 | { |
| 528 | Throw, /// Throw exception if value cannot be parsed. |
| 529 | Zero, /// Fill with zero or default if value cannot be parsed. |
| 530 | Null /// Return ColumnNullable with NULLs when value cannot be parsed. |
| 531 | }; |
| 532 | |
| 533 | enum class ConvertFromStringParsingMode |
| 534 | { |
| 535 | Normal, |
| 536 | BestEffort /// Only applicable for DateTime. Will use sophisticated method, that is slower. |
| 537 | }; |
| 538 | |
| 539 | template <typename FromDataType, typename ToDataType, typename Name, |
| 540 | ConvertFromStringExceptionMode exception_mode, ConvertFromStringParsingMode parsing_mode> |
| 541 | struct ConvertThroughParsing |
| 542 | { |
| 543 | static_assert(std::is_same_v<FromDataType, DataTypeString> || std::is_same_v<FromDataType, DataTypeFixedString>, |
| 544 | "ConvertThroughParsing is only applicable for String or FixedString data types" ); |
| 545 | |
| 546 | static constexpr bool to_datetime64 = std::is_same_v<ToDataType, DataTypeDateTime64>; |
| 547 | |
| 548 | using ToFieldType = typename ToDataType::FieldType; |
| 549 | |
| 550 | static bool isAllRead(ReadBuffer & in) |
| 551 | { |
| 552 | /// In case of FixedString, skip zero bytes at end. |
| 553 | if constexpr (std::is_same_v<FromDataType, DataTypeFixedString>) |
| 554 | while (!in.eof() && *in.position() == 0) |
| 555 | ++in.position(); |
| 556 | |
| 557 | if (in.eof()) |
| 558 | return true; |
| 559 | |
| 560 | /// Special case, that allows to parse string with DateTime as Date. |
| 561 | if (std::is_same_v<ToDataType, DataTypeDate> && (in.buffer().size()) == strlen("YYYY-MM-DD hh:mm:ss" )) |
| 562 | return true; |
| 563 | |
| 564 | return false; |
| 565 | } |
| 566 | |
| 567 | template <typename Additions = void *> |
| 568 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count, |
| 569 | Additions additions [[maybe_unused]] = Additions()) |
| 570 | { |
| 571 | using ColVecTo = typename ToDataType::ColumnType; |
| 572 | |
| 573 | const DateLUTImpl * local_time_zone [[maybe_unused]] = nullptr; |
| 574 | const DateLUTImpl * utc_time_zone [[maybe_unused]] = nullptr; |
| 575 | |
| 576 | /// For conversion to DateTime type, second argument with time zone could be specified. |
| 577 | if constexpr (std::is_same_v<ToDataType, DataTypeDateTime> || to_datetime64) |
| 578 | { |
| 579 | const auto result_type = removeNullable(block.getByPosition(result).type); |
| 580 | // Time zone is already figured out during result type resultion, no need to do it here. |
| 581 | if (const auto dt_col = checkAndGetDataType<ToDataType>(result_type.get())) |
| 582 | local_time_zone = &dt_col->getTimeZone(); |
| 583 | else |
| 584 | { |
| 585 | local_time_zone = &extractTimeZoneFromFunctionArguments(block, arguments, 1, 0); |
| 586 | } |
| 587 | |
| 588 | if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort) |
| 589 | utc_time_zone = &DateLUT::instance("UTC" ); |
| 590 | } |
| 591 | |
| 592 | const IColumn * col_from = block.getByPosition(arguments[0]).column.get(); |
| 593 | const ColumnString * col_from_string = checkAndGetColumn<ColumnString>(col_from); |
| 594 | const ColumnFixedString * col_from_fixed_string = checkAndGetColumn<ColumnFixedString>(col_from); |
| 595 | |
| 596 | if (std::is_same_v<FromDataType, DataTypeString> && !col_from_string) |
| 597 | throw Exception("Illegal column " + col_from->getName() |
| 598 | + " of first argument of function " + Name::name, |
| 599 | ErrorCodes::ILLEGAL_COLUMN); |
| 600 | |
| 601 | if (std::is_same_v<FromDataType, DataTypeFixedString> && !col_from_fixed_string) |
| 602 | throw Exception("Illegal column " + col_from->getName() |
| 603 | + " of first argument of function " + Name::name, |
| 604 | ErrorCodes::ILLEGAL_COLUMN); |
| 605 | |
| 606 | size_t size = input_rows_count; |
| 607 | typename ColVecTo::MutablePtr col_to = nullptr; |
| 608 | |
| 609 | if constexpr (IsDataTypeDecimal<ToDataType>) |
| 610 | { |
| 611 | UInt32 scale = additions; |
| 612 | if constexpr (to_datetime64) |
| 613 | { |
| 614 | ToDataType check_bounds_in_ctor(scale, local_time_zone ? local_time_zone->getTimeZone() : String{}); |
| 615 | } |
| 616 | else |
| 617 | { |
| 618 | ToDataType check_bounds_in_ctor(ToDataType::maxPrecision(), scale); |
| 619 | } |
| 620 | col_to = ColVecTo::create(size, scale); |
| 621 | } |
| 622 | else |
| 623 | col_to = ColVecTo::create(size); |
| 624 | |
| 625 | typename ColVecTo::Container & vec_to = col_to->getData(); |
| 626 | |
| 627 | ColumnUInt8::MutablePtr col_null_map_to; |
| 628 | ColumnUInt8::Container * vec_null_map_to [[maybe_unused]] = nullptr; |
| 629 | if constexpr (exception_mode == ConvertFromStringExceptionMode::Null) |
| 630 | { |
| 631 | col_null_map_to = ColumnUInt8::create(size); |
| 632 | vec_null_map_to = &col_null_map_to->getData(); |
| 633 | } |
| 634 | |
| 635 | const ColumnString::Chars * chars = nullptr; |
| 636 | const IColumn::Offsets * offsets = nullptr; |
| 637 | size_t fixed_string_size = 0; |
| 638 | |
| 639 | if constexpr (std::is_same_v<FromDataType, DataTypeString>) |
| 640 | { |
| 641 | chars = &col_from_string->getChars(); |
| 642 | offsets = &col_from_string->getOffsets(); |
| 643 | } |
| 644 | else |
| 645 | { |
| 646 | chars = &col_from_fixed_string->getChars(); |
| 647 | fixed_string_size = col_from_fixed_string->getN(); |
| 648 | } |
| 649 | |
| 650 | size_t current_offset = 0; |
| 651 | |
| 652 | for (size_t i = 0; i < size; ++i) |
| 653 | { |
| 654 | size_t next_offset = std::is_same_v<FromDataType, DataTypeString> ? (*offsets)[i] : (current_offset + fixed_string_size); |
| 655 | size_t string_size = std::is_same_v<FromDataType, DataTypeString> ? next_offset - current_offset - 1 : fixed_string_size; |
| 656 | |
| 657 | ReadBufferFromMemory read_buffer(&(*chars)[current_offset], string_size); |
| 658 | |
| 659 | if constexpr (exception_mode == ConvertFromStringExceptionMode::Throw) |
| 660 | { |
| 661 | if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort) |
| 662 | { |
| 663 | if constexpr (to_datetime64) |
| 664 | { |
| 665 | DateTime64 res = 0; |
| 666 | parseDateTime64BestEffort(res, vec_to.getScale(), read_buffer, *local_time_zone, *utc_time_zone); |
| 667 | vec_to[i] = res; |
| 668 | } |
| 669 | else |
| 670 | { |
| 671 | time_t res; |
| 672 | parseDateTimeBestEffort(res, read_buffer, *local_time_zone, *utc_time_zone); |
| 673 | vec_to[i] = res; |
| 674 | } |
| 675 | } |
| 676 | else |
| 677 | { |
| 678 | if constexpr (to_datetime64) |
| 679 | { |
| 680 | DateTime64 value = 0; |
| 681 | readDateTime64Text(value, vec_to.getScale(), read_buffer, *local_time_zone); |
| 682 | vec_to[i] = value; |
| 683 | } |
| 684 | else if constexpr (IsDataTypeDecimal<ToDataType>) |
| 685 | ToDataType::readText(vec_to[i], read_buffer, ToDataType::maxPrecision(), vec_to.getScale()); |
| 686 | else |
| 687 | parseImpl<ToDataType>(vec_to[i], read_buffer, local_time_zone); |
| 688 | } |
| 689 | |
| 690 | if (!isAllRead(read_buffer)) |
| 691 | throwExceptionForIncompletelyParsedValue(read_buffer, block, result); |
| 692 | } |
| 693 | else |
| 694 | { |
| 695 | bool parsed; |
| 696 | |
| 697 | if constexpr (parsing_mode == ConvertFromStringParsingMode::BestEffort) |
| 698 | { |
| 699 | if constexpr (to_datetime64) |
| 700 | { |
| 701 | DateTime64 res = 0; |
| 702 | parsed = tryParseDateTime64BestEffort(res, vec_to.getScale(), read_buffer, *local_time_zone, *utc_time_zone); |
| 703 | vec_to[i] = res; |
| 704 | } |
| 705 | else |
| 706 | { |
| 707 | time_t res; |
| 708 | parsed = tryParseDateTimeBestEffort(res, read_buffer, *local_time_zone, *utc_time_zone); |
| 709 | vec_to[i] = res; |
| 710 | } |
| 711 | } |
| 712 | else |
| 713 | { |
| 714 | if constexpr (to_datetime64) |
| 715 | { |
| 716 | DateTime64 value = 0; |
| 717 | parsed = tryReadDateTime64Text(value, vec_to.getScale(), read_buffer, *local_time_zone); |
| 718 | vec_to[i] = value; |
| 719 | } |
| 720 | else if constexpr (IsDataTypeDecimal<ToDataType>) |
| 721 | parsed = ToDataType::tryReadText(vec_to[i], read_buffer, ToDataType::maxPrecision(), vec_to.getScale()); |
| 722 | else |
| 723 | parsed = tryParseImpl<ToDataType>(vec_to[i], read_buffer, local_time_zone); |
| 724 | |
| 725 | parsed = parsed && isAllRead(read_buffer); |
| 726 | } |
| 727 | |
| 728 | if (!parsed) |
| 729 | vec_to[i] = 0; |
| 730 | |
| 731 | if constexpr (exception_mode == ConvertFromStringExceptionMode::Null) |
| 732 | (*vec_null_map_to)[i] = !parsed; |
| 733 | } |
| 734 | |
| 735 | current_offset = next_offset; |
| 736 | } |
| 737 | |
| 738 | if constexpr (exception_mode == ConvertFromStringExceptionMode::Null) |
| 739 | block.getByPosition(result).column = ColumnNullable::create(std::move(col_to), std::move(col_null_map_to)); |
| 740 | else |
| 741 | block.getByPosition(result).column = std::move(col_to); |
| 742 | } |
| 743 | }; |
| 744 | |
| 745 | |
| 746 | template <typename ToDataType, typename Name> |
| 747 | struct ConvertImpl<std::enable_if_t<!std::is_same_v<ToDataType, DataTypeString>, DataTypeString>, ToDataType, Name> |
| 748 | : ConvertThroughParsing<DataTypeString, ToDataType, Name, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::Normal> {}; |
| 749 | |
| 750 | template <typename ToDataType, typename Name> |
| 751 | struct ConvertImpl<std::enable_if_t<!std::is_same_v<ToDataType, DataTypeFixedString>, DataTypeFixedString>, ToDataType, Name> |
| 752 | : ConvertThroughParsing<DataTypeFixedString, ToDataType, Name, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::Normal> {}; |
| 753 | |
| 754 | /// Generic conversion of any type from String. Used for complex types: Array and Tuple. |
| 755 | struct ConvertImplGenericFromString |
| 756 | { |
| 757 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result) |
| 758 | { |
| 759 | const IColumn & col_from = *block.getByPosition(arguments[0]).column; |
| 760 | size_t size = col_from.size(); |
| 761 | |
| 762 | const IDataType & data_type_to = *block.getByPosition(result).type; |
| 763 | |
| 764 | if (const ColumnString * col_from_string = checkAndGetColumn<ColumnString>(&col_from)) |
| 765 | { |
| 766 | auto res = data_type_to.createColumn(); |
| 767 | |
| 768 | IColumn & column_to = *res; |
| 769 | column_to.reserve(size); |
| 770 | |
| 771 | const ColumnString::Chars & chars = col_from_string->getChars(); |
| 772 | const IColumn::Offsets & offsets = col_from_string->getOffsets(); |
| 773 | |
| 774 | size_t current_offset = 0; |
| 775 | |
| 776 | FormatSettings format_settings; |
| 777 | for (size_t i = 0; i < size; ++i) |
| 778 | { |
| 779 | ReadBufferFromMemory read_buffer(&chars[current_offset], offsets[i] - current_offset - 1); |
| 780 | |
| 781 | data_type_to.deserializeAsWholeText(column_to, read_buffer, format_settings); |
| 782 | |
| 783 | if (!read_buffer.eof()) |
| 784 | throwExceptionForIncompletelyParsedValue(read_buffer, block, result); |
| 785 | |
| 786 | current_offset = offsets[i]; |
| 787 | } |
| 788 | |
| 789 | block.getByPosition(result).column = std::move(res); |
| 790 | } |
| 791 | else |
| 792 | throw Exception("Illegal column " + block.getByPosition(arguments[0]).column->getName() |
| 793 | + " of first argument of conversion function from string" , |
| 794 | ErrorCodes::ILLEGAL_COLUMN); |
| 795 | } |
| 796 | }; |
| 797 | |
| 798 | |
| 799 | /// Function toUnixTimestamp has exactly the same implementation as toDateTime of String type. |
| 800 | struct NameToUnixTimestamp { static constexpr auto name = "toUnixTimestamp" ; }; |
| 801 | |
| 802 | template <> |
| 803 | struct ConvertImpl<DataTypeString, DataTypeUInt32, NameToUnixTimestamp> |
| 804 | : ConvertImpl<DataTypeString, DataTypeDateTime, NameToUnixTimestamp> {}; |
| 805 | |
| 806 | |
| 807 | /** If types are identical, just take reference to column. |
| 808 | */ |
| 809 | template <typename T, typename Name> |
| 810 | struct ConvertImpl<std::enable_if_t<!T::is_parametric, T>, T, Name> |
| 811 | { |
| 812 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) |
| 813 | { |
| 814 | block.getByPosition(result).column = block.getByPosition(arguments[0]).column; |
| 815 | } |
| 816 | }; |
| 817 | |
| 818 | |
| 819 | /** Conversion from FixedString to String. |
| 820 | * Cutting sequences of zero bytes from end of strings. |
| 821 | */ |
| 822 | template <typename Name> |
| 823 | struct ConvertImpl<DataTypeFixedString, DataTypeString, Name> |
| 824 | { |
| 825 | static void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) |
| 826 | { |
| 827 | if (const ColumnFixedString * col_from = checkAndGetColumn<ColumnFixedString>(block.getByPosition(arguments[0]).column.get())) |
| 828 | { |
| 829 | auto col_to = ColumnString::create(); |
| 830 | |
| 831 | const ColumnFixedString::Chars & data_from = col_from->getChars(); |
| 832 | ColumnString::Chars & data_to = col_to->getChars(); |
| 833 | ColumnString::Offsets & offsets_to = col_to->getOffsets(); |
| 834 | size_t size = col_from->size(); |
| 835 | size_t n = col_from->getN(); |
| 836 | data_to.resize(size * (n + 1)); /// + 1 - zero terminator |
| 837 | offsets_to.resize(size); |
| 838 | |
| 839 | size_t offset_from = 0; |
| 840 | size_t offset_to = 0; |
| 841 | for (size_t i = 0; i < size; ++i) |
| 842 | { |
| 843 | size_t bytes_to_copy = n; |
| 844 | while (bytes_to_copy > 0 && data_from[offset_from + bytes_to_copy - 1] == 0) |
| 845 | --bytes_to_copy; |
| 846 | |
| 847 | memcpy(&data_to[offset_to], &data_from[offset_from], bytes_to_copy); |
| 848 | offset_from += n; |
| 849 | offset_to += bytes_to_copy; |
| 850 | data_to[offset_to] = 0; |
| 851 | ++offset_to; |
| 852 | offsets_to[i] = offset_to; |
| 853 | } |
| 854 | |
| 855 | data_to.resize(offset_to); |
| 856 | block.getByPosition(result).column = std::move(col_to); |
| 857 | } |
| 858 | else |
| 859 | throw Exception("Illegal column " + block.getByPosition(arguments[0]).column->getName() |
| 860 | + " of first argument of function " + Name::name, |
| 861 | ErrorCodes::ILLEGAL_COLUMN); |
| 862 | } |
| 863 | }; |
| 864 | |
| 865 | |
| 866 | /// Declared early because used below. |
| 867 | struct NameToDate { static constexpr auto name = "toDate" ; }; |
| 868 | struct NameToDateTime { static constexpr auto name = "toDateTime" ; }; |
| 869 | struct NameToDateTime64 { static constexpr auto name = "toDateTime64" ; }; |
| 870 | struct NameToString { static constexpr auto name = "toString" ; }; |
| 871 | struct NameToDecimal32 { static constexpr auto name = "toDecimal32" ; }; |
| 872 | struct NameToDecimal64 { static constexpr auto name = "toDecimal64" ; }; |
| 873 | struct NameToDecimal128 { static constexpr auto name = "toDecimal128" ; }; |
| 874 | |
| 875 | |
| 876 | #define DEFINE_NAME_TO_INTERVAL(INTERVAL_KIND) \ |
| 877 | struct NameToInterval ## INTERVAL_KIND \ |
| 878 | { \ |
| 879 | static constexpr auto name = "toInterval" #INTERVAL_KIND; \ |
| 880 | static constexpr auto kind = IntervalKind::INTERVAL_KIND; \ |
| 881 | }; |
| 882 | |
| 883 | DEFINE_NAME_TO_INTERVAL(Second) |
| 884 | DEFINE_NAME_TO_INTERVAL(Minute) |
| 885 | DEFINE_NAME_TO_INTERVAL(Hour) |
| 886 | DEFINE_NAME_TO_INTERVAL(Day) |
| 887 | DEFINE_NAME_TO_INTERVAL(Week) |
| 888 | DEFINE_NAME_TO_INTERVAL(Month) |
| 889 | DEFINE_NAME_TO_INTERVAL(Quarter) |
| 890 | DEFINE_NAME_TO_INTERVAL(Year) |
| 891 | |
| 892 | #undef DEFINE_NAME_TO_INTERVAL |
| 893 | |
| 894 | |
| 895 | template <typename ToDataType, typename Name, typename MonotonicityImpl> |
| 896 | class FunctionConvert : public IFunction |
| 897 | { |
| 898 | public: |
| 899 | using Monotonic = MonotonicityImpl; |
| 900 | |
| 901 | static constexpr auto name = Name::name; |
| 902 | static constexpr bool to_decimal = |
| 903 | std::is_same_v<Name, NameToDecimal32> || std::is_same_v<Name, NameToDecimal64> || std::is_same_v<Name, NameToDecimal128>; |
| 904 | |
| 905 | static constexpr bool to_datetime64 = std::is_same_v<ToDataType, DataTypeDateTime64>; |
| 906 | |
| 907 | static FunctionPtr create(const Context &) { return std::make_shared<FunctionConvert>(); } |
| 908 | static FunctionPtr create() { return std::make_shared<FunctionConvert>(); } |
| 909 | |
| 910 | String getName() const override |
| 911 | { |
| 912 | return name; |
| 913 | } |
| 914 | |
| 915 | bool isVariadic() const override { return true; } |
| 916 | size_t getNumberOfArguments() const override { return 0; } |
| 917 | bool isInjective(const Block &) override { return std::is_same_v<Name, NameToString>; } |
| 918 | |
| 919 | DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override |
| 920 | { |
| 921 | FunctionArgumentDescriptors mandatory_args = {{"Value" , nullptr, nullptr, nullptr}}; |
| 922 | FunctionArgumentDescriptors optional_args; |
| 923 | |
| 924 | if constexpr (to_decimal || to_datetime64) |
| 925 | { |
| 926 | mandatory_args.push_back({"scale" , &isNativeInteger, &isColumnConst, "const Integer" }); |
| 927 | } |
| 928 | // toString(DateTime or DateTime64, [timezone: String]) |
| 929 | if ((std::is_same_v<Name, NameToString> && arguments.size() > 0 && (isDateTime64(arguments[0].type) || isDateTime(arguments[0].type))) |
| 930 | // toUnixTimestamp(value[, timezone : String]) |
| 931 | || std::is_same_v<Name, NameToUnixTimestamp> |
| 932 | // toDate(value[, timezone : String]) |
| 933 | || std::is_same_v<ToDataType, DataTypeDate> // TODO: shall we allow timestamp argument for toDate? DateTime knows nothing about timezones and this arument is ignored below. |
| 934 | // toDateTime(value[, timezone: String]) |
| 935 | || std::is_same_v<ToDataType, DataTypeDateTime> |
| 936 | // toDateTime64(value, scale : Integer[, timezone: String]) |
| 937 | || std::is_same_v<ToDataType, DataTypeDateTime64>) |
| 938 | { |
| 939 | optional_args.push_back({"timezone" , &isString, &isColumnConst, "const String" }); |
| 940 | } |
| 941 | |
| 942 | validateFunctionArgumentTypes(*this, arguments, mandatory_args, optional_args); |
| 943 | |
| 944 | if constexpr (std::is_same_v<ToDataType, DataTypeInterval>) |
| 945 | { |
| 946 | return std::make_shared<DataTypeInterval>(Name::kind); |
| 947 | } |
| 948 | else if constexpr (to_decimal) |
| 949 | { |
| 950 | // if (!arguments[1].column) |
| 951 | // throw Exception("Second argument for function " + getName() + " must be constant", ErrorCodes::ILLEGAL_COLUMN); |
| 952 | |
| 953 | UInt64 scale = extractToDecimalScale(arguments[1]); |
| 954 | |
| 955 | if constexpr (std::is_same_v<Name, NameToDecimal32>) |
| 956 | return createDecimal<DataTypeDecimal>(9, scale); |
| 957 | else if constexpr (std::is_same_v<Name, NameToDecimal64>) |
| 958 | return createDecimal<DataTypeDecimal>(18, scale); |
| 959 | else if constexpr (std::is_same_v<Name, NameToDecimal128>) |
| 960 | return createDecimal<DataTypeDecimal>(38, scale); |
| 961 | |
| 962 | throw Exception("Someting wrong with toDecimalNN()" , ErrorCodes::LOGICAL_ERROR); |
| 963 | } |
| 964 | else |
| 965 | { |
| 966 | // Optional second argument with time zone for DateTime. |
| 967 | UInt8 timezone_arg_position = 1; |
| 968 | UInt32 scale [[maybe_unused]] = DataTypeDateTime64::default_scale; |
| 969 | |
| 970 | // DateTime64 requires more arguments: scale and timezone. Since timezone is optional, scale should be first. |
| 971 | if constexpr (to_datetime64) |
| 972 | { |
| 973 | timezone_arg_position += 1; |
| 974 | scale = static_cast<UInt32>(arguments[1].column->get64(0)); |
| 975 | } |
| 976 | |
| 977 | if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>) |
| 978 | return std::make_shared<DataTypeDateTime>(extractTimeZoneNameFromFunctionArguments(arguments, timezone_arg_position, 0)); |
| 979 | else if constexpr (to_datetime64) |
| 980 | return std::make_shared<DataTypeDateTime64>(scale, extractTimeZoneNameFromFunctionArguments(arguments, timezone_arg_position, 0)); |
| 981 | else |
| 982 | return std::make_shared<ToDataType>(); |
| 983 | } |
| 984 | } |
| 985 | |
| 986 | bool useDefaultImplementationForConstants() const override { return true; } |
| 987 | ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } |
| 988 | bool canBeExecutedOnDefaultArguments() const override { return false; } |
| 989 | |
| 990 | void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override |
| 991 | { |
| 992 | try |
| 993 | { |
| 994 | executeInternal(block, arguments, result, input_rows_count); |
| 995 | } |
| 996 | catch (Exception & e) |
| 997 | { |
| 998 | /// More convenient error message. |
| 999 | if (e.code() == ErrorCodes::ATTEMPT_TO_READ_AFTER_EOF) |
| 1000 | { |
| 1001 | e.addMessage("Cannot parse " |
| 1002 | + block.getByPosition(result).type->getName() + " from " |
| 1003 | + block.getByPosition(arguments[0]).type->getName() |
| 1004 | + ", because value is too short" ); |
| 1005 | } |
| 1006 | else if (e.code() == ErrorCodes::CANNOT_PARSE_NUMBER |
| 1007 | || e.code() == ErrorCodes::CANNOT_READ_ARRAY_FROM_TEXT |
| 1008 | || e.code() == ErrorCodes::CANNOT_PARSE_INPUT_ASSERTION_FAILED |
| 1009 | || e.code() == ErrorCodes::CANNOT_PARSE_QUOTED_STRING |
| 1010 | || e.code() == ErrorCodes::CANNOT_PARSE_ESCAPE_SEQUENCE |
| 1011 | || e.code() == ErrorCodes::CANNOT_PARSE_DATE |
| 1012 | || e.code() == ErrorCodes::CANNOT_PARSE_DATETIME |
| 1013 | || e.code() == ErrorCodes::CANNOT_PARSE_UUID) |
| 1014 | { |
| 1015 | e.addMessage("Cannot parse " |
| 1016 | + block.getByPosition(result).type->getName() + " from " |
| 1017 | + block.getByPosition(arguments[0]).type->getName()); |
| 1018 | } |
| 1019 | |
| 1020 | throw; |
| 1021 | } |
| 1022 | } |
| 1023 | |
| 1024 | bool hasInformationAboutMonotonicity() const override |
| 1025 | { |
| 1026 | return Monotonic::has(); |
| 1027 | } |
| 1028 | |
| 1029 | Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override |
| 1030 | { |
| 1031 | return Monotonic::get(type, left, right); |
| 1032 | } |
| 1033 | |
| 1034 | private: |
| 1035 | void executeInternal(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) |
| 1036 | { |
| 1037 | if (!arguments.size()) |
| 1038 | throw Exception{"Function " + getName() + " expects at least 1 arguments" , |
| 1039 | ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION}; |
| 1040 | |
| 1041 | const IDataType * from_type = block.getByPosition(arguments[0]).type.get(); |
| 1042 | |
| 1043 | auto call = [&](const auto & types) -> bool |
| 1044 | { |
| 1045 | using Types = std::decay_t<decltype(types)>; |
| 1046 | using LeftDataType = typename Types::LeftType; |
| 1047 | using RightDataType = typename Types::RightType; |
| 1048 | |
| 1049 | if constexpr (IsDataTypeDecimal<RightDataType>) |
| 1050 | { |
| 1051 | if constexpr (std::is_same_v<RightDataType, DataTypeDateTime64>) |
| 1052 | { |
| 1053 | // account for optional timezone argument |
| 1054 | if (arguments.size() != 2 && arguments.size() != 3) |
| 1055 | throw Exception{"Function " + getName() + " expects 2 or 3 arguments for DataTypeDateTime64." , |
| 1056 | ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION}; |
| 1057 | } |
| 1058 | else if (arguments.size() != 2) |
| 1059 | { |
| 1060 | throw Exception{"Function " + getName() + " expects 2 arguments for Decimal." , |
| 1061 | ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION}; |
| 1062 | } |
| 1063 | |
| 1064 | const ColumnWithTypeAndName & scale_column = block.getByPosition(arguments[1]); |
| 1065 | UInt32 scale = extractToDecimalScale(scale_column); |
| 1066 | |
| 1067 | ConvertImpl<LeftDataType, RightDataType, Name>::execute(block, arguments, result, input_rows_count, scale); |
| 1068 | } |
| 1069 | else if constexpr (IsDataTypeDateOrDateTime<RightDataType> && std::is_same_v<LeftDataType, DataTypeDateTime64>) |
| 1070 | { |
| 1071 | const auto * dt64 = assert_cast<const DataTypeDateTime64 *>(block.getByPosition(arguments[0]).type.get()); |
| 1072 | ConvertImpl<LeftDataType, RightDataType, Name>::execute(block, arguments, result, input_rows_count, dt64->getScale()); |
| 1073 | } |
| 1074 | else |
| 1075 | ConvertImpl<LeftDataType, RightDataType, Name>::execute(block, arguments, result, input_rows_count); |
| 1076 | |
| 1077 | return true; |
| 1078 | }; |
| 1079 | |
| 1080 | bool done = callOnIndexAndDataType<ToDataType>(from_type->getTypeId(), call); |
| 1081 | if (!done) |
| 1082 | { |
| 1083 | /// Generic conversion of any type to String. |
| 1084 | if (std::is_same_v<ToDataType, DataTypeString>) |
| 1085 | { |
| 1086 | ConvertImplGenericToString::execute(block, arguments, result); |
| 1087 | } |
| 1088 | else |
| 1089 | throw Exception("Illegal type " + block.getByPosition(arguments[0]).type->getName() + " of argument of function " + getName(), |
| 1090 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1091 | } |
| 1092 | } |
| 1093 | }; |
| 1094 | |
| 1095 | |
| 1096 | /** Function toTOrZero (where T is number of date or datetime type): |
| 1097 | * try to convert from String to type T through parsing, |
| 1098 | * if cannot parse, return default value instead of throwing exception. |
| 1099 | * Function toTOrNull will return Nullable type with NULL when cannot parse. |
| 1100 | * NOTE Also need to implement tryToUnixTimestamp with timezone. |
| 1101 | */ |
| 1102 | template <typename ToDataType, typename Name, |
| 1103 | ConvertFromStringExceptionMode exception_mode, |
| 1104 | ConvertFromStringParsingMode parsing_mode = ConvertFromStringParsingMode::Normal> |
| 1105 | class FunctionConvertFromString : public IFunction |
| 1106 | { |
| 1107 | public: |
| 1108 | static constexpr auto name = Name::name; |
| 1109 | static constexpr bool to_decimal = |
| 1110 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal32>> || |
| 1111 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal64>> || |
| 1112 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal128>>; |
| 1113 | |
| 1114 | static FunctionPtr create(const Context &) { return std::make_shared<FunctionConvertFromString>(); } |
| 1115 | static FunctionPtr create() { return std::make_shared<FunctionConvertFromString>(); } |
| 1116 | |
| 1117 | String getName() const override |
| 1118 | { |
| 1119 | return name; |
| 1120 | } |
| 1121 | |
| 1122 | bool isVariadic() const override { return true; } |
| 1123 | size_t getNumberOfArguments() const override { return 0; } |
| 1124 | |
| 1125 | bool useDefaultImplementationForConstants() const override { return true; } |
| 1126 | ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } |
| 1127 | |
| 1128 | DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override |
| 1129 | { |
| 1130 | if ((arguments.size() != 1 && arguments.size() != 2) || (to_decimal && arguments.size() != 2)) |
| 1131 | throw Exception("Number of arguments for function " + getName() + " doesn't match: passed " + toString(arguments.size()) + |
| 1132 | ", should be 1 or 2. Second argument only make sense for DateTime (time zone, optional) and Decimal (scale)." , |
| 1133 | ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH); |
| 1134 | |
| 1135 | if (!isStringOrFixedString(arguments[0].type)) |
| 1136 | { |
| 1137 | if (this->getName().find("OrZero" ) != std::string::npos || |
| 1138 | this->getName().find("OrNull" ) != std::string::npos) |
| 1139 | throw Exception("Illegal type " + arguments[0].type->getName() + " of first argument of function " + getName() + |
| 1140 | ". Conversion functions with postfix 'OrZero' or 'OrNull' should take String argument" , |
| 1141 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1142 | else |
| 1143 | throw Exception("Illegal type " + arguments[0].type->getName() + " of first argument of function " + getName(), |
| 1144 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1145 | } |
| 1146 | |
| 1147 | if (arguments.size() == 2) |
| 1148 | { |
| 1149 | if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>) |
| 1150 | { |
| 1151 | if (!isString(arguments[1].type)) |
| 1152 | throw Exception("Illegal type " + arguments[1].type->getName() + " of 2nd argument of function " + getName(), |
| 1153 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1154 | } |
| 1155 | else if constexpr (to_decimal) |
| 1156 | { |
| 1157 | if (!isInteger(arguments[1].type)) |
| 1158 | throw Exception("Illegal type " + arguments[1].type->getName() + " of 2nd argument of function " + getName(), |
| 1159 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1160 | if (!arguments[1].column) |
| 1161 | throw Exception("Second argument for function " + getName() + " must be constant" , ErrorCodes::ILLEGAL_COLUMN); |
| 1162 | } |
| 1163 | else |
| 1164 | { |
| 1165 | throw Exception("Number of arguments for function " + getName() + " doesn't match: passed " |
| 1166 | + toString(arguments.size()) + ", should be 1. Second argument makes sense only for DateTime and Decimal." , |
| 1167 | ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH); |
| 1168 | } |
| 1169 | } |
| 1170 | |
| 1171 | DataTypePtr res; |
| 1172 | |
| 1173 | if constexpr (std::is_same_v<ToDataType, DataTypeDateTime>) |
| 1174 | res = std::make_shared<DataTypeDateTime>(extractTimeZoneNameFromFunctionArguments(arguments, 1, 0)); |
| 1175 | else if constexpr (to_decimal) |
| 1176 | { |
| 1177 | UInt64 scale = extractToDecimalScale(arguments[1]); |
| 1178 | |
| 1179 | if constexpr (std::is_same_v<ToDataType, DataTypeDecimal<Decimal32>>) |
| 1180 | res = createDecimal<DataTypeDecimal>(9, scale); |
| 1181 | else if constexpr (std::is_same_v<ToDataType, DataTypeDecimal<Decimal64>>) |
| 1182 | res = createDecimal<DataTypeDecimal>(18, scale); |
| 1183 | else if constexpr (std::is_same_v<ToDataType, DataTypeDecimal<Decimal128>>) |
| 1184 | res = createDecimal<DataTypeDecimal>(38, scale); |
| 1185 | |
| 1186 | if (!res) |
| 1187 | throw Exception("Someting wrong with toDecimalNNOrZero() or toDecimalNNOrNull()" , ErrorCodes::LOGICAL_ERROR); |
| 1188 | } |
| 1189 | else if constexpr (std::is_same_v<ToDataType, DataTypeDateTime64>) |
| 1190 | { |
| 1191 | UInt64 scale = DataTypeDateTime64::default_scale; |
| 1192 | if (arguments.size() > 1) |
| 1193 | scale = extractToDecimalScale(arguments[1]); |
| 1194 | const auto timezone = extractTimeZoneNameFromFunctionArguments(arguments, 2, 0); |
| 1195 | res = std::make_shared<DataTypeDateTime64>(scale, timezone); |
| 1196 | } |
| 1197 | else |
| 1198 | res = std::make_shared<ToDataType>(); |
| 1199 | |
| 1200 | if constexpr (exception_mode == ConvertFromStringExceptionMode::Null) |
| 1201 | res = std::make_shared<DataTypeNullable>(res); |
| 1202 | |
| 1203 | return res; |
| 1204 | } |
| 1205 | |
| 1206 | void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override |
| 1207 | { |
| 1208 | const IDataType * from_type = block.getByPosition(arguments[0]).type.get(); |
| 1209 | |
| 1210 | bool ok = true; |
| 1211 | if constexpr (to_decimal || std::is_same_v<ToDataType, DataTypeDateTime64>) |
| 1212 | { |
| 1213 | if (arguments.size() != 2) |
| 1214 | throw Exception{"Function " + getName() + " expects 2 arguments for Decimal." , ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION}; |
| 1215 | |
| 1216 | UInt32 scale = extractToDecimalScale(block.getByPosition(arguments[1])); |
| 1217 | |
| 1218 | if (checkAndGetDataType<DataTypeString>(from_type)) |
| 1219 | { |
| 1220 | ConvertThroughParsing<DataTypeString, ToDataType, Name, exception_mode, parsing_mode>::execute( |
| 1221 | block, arguments, result, input_rows_count, scale); |
| 1222 | } |
| 1223 | else if (checkAndGetDataType<DataTypeFixedString>(from_type)) |
| 1224 | { |
| 1225 | ConvertThroughParsing<DataTypeFixedString, ToDataType, Name, exception_mode, parsing_mode>::execute( |
| 1226 | block, arguments, result, input_rows_count, scale); |
| 1227 | } |
| 1228 | else |
| 1229 | ok = false; |
| 1230 | } |
| 1231 | else |
| 1232 | { |
| 1233 | if (checkAndGetDataType<DataTypeString>(from_type)) |
| 1234 | { |
| 1235 | ConvertThroughParsing<DataTypeString, ToDataType, Name, exception_mode, parsing_mode>::execute( |
| 1236 | block, arguments, result, input_rows_count); |
| 1237 | } |
| 1238 | else if (checkAndGetDataType<DataTypeFixedString>(from_type)) |
| 1239 | { |
| 1240 | ConvertThroughParsing<DataTypeFixedString, ToDataType, Name, exception_mode, parsing_mode>::execute( |
| 1241 | block, arguments, result, input_rows_count); |
| 1242 | } |
| 1243 | else |
| 1244 | ok = false; |
| 1245 | |
| 1246 | } |
| 1247 | |
| 1248 | if (!ok) |
| 1249 | throw Exception("Illegal type " + block.getByPosition(arguments[0]).type->getName() + " of argument of function " + getName() |
| 1250 | + ". Only String or FixedString argument is accepted for try-conversion function." |
| 1251 | + " For other arguments, use function without 'orZero' or 'orNull'." , |
| 1252 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 1253 | } |
| 1254 | }; |
| 1255 | |
| 1256 | |
| 1257 | /** Conversion to fixed string is implemented only for strings. |
| 1258 | */ |
| 1259 | class FunctionToFixedString : public IFunction |
| 1260 | { |
| 1261 | public: |
| 1262 | static constexpr auto name = "toFixedString" ; |
| 1263 | static FunctionPtr create(const Context &) { return std::make_shared<FunctionToFixedString>(); } |
| 1264 | static FunctionPtr create() { return std::make_shared<FunctionToFixedString>(); } |
| 1265 | |
| 1266 | String getName() const override |
| 1267 | { |
| 1268 | return name; |
| 1269 | } |
| 1270 | |
| 1271 | size_t getNumberOfArguments() const override { return 2; } |
| 1272 | bool isInjective(const Block &) override { return true; } |
| 1273 | |
| 1274 | DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override |
| 1275 | { |
| 1276 | if (!isUnsignedInteger(arguments[1].type)) |
| 1277 | throw Exception("Second argument for function " + getName() + " must be unsigned integer" , ErrorCodes::ILLEGAL_COLUMN); |
| 1278 | if (!arguments[1].column) |
| 1279 | throw Exception("Second argument for function " + getName() + " must be constant" , ErrorCodes::ILLEGAL_COLUMN); |
| 1280 | if (!isStringOrFixedString(arguments[0].type)) |
| 1281 | throw Exception(getName() + " is only implemented for types String and FixedString" , ErrorCodes::NOT_IMPLEMENTED); |
| 1282 | |
| 1283 | const size_t n = arguments[1].column->getUInt(0); |
| 1284 | return std::make_shared<DataTypeFixedString>(n); |
| 1285 | } |
| 1286 | |
| 1287 | bool useDefaultImplementationForConstants() const override { return true; } |
| 1288 | ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } |
| 1289 | |
| 1290 | void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) override |
| 1291 | { |
| 1292 | const auto n = block.getByPosition(arguments[1]).column->getUInt(0); |
| 1293 | return executeForN(block, arguments, result, n); |
| 1294 | } |
| 1295 | |
| 1296 | static void executeForN(Block & block, const ColumnNumbers & arguments, const size_t result, const size_t n) |
| 1297 | { |
| 1298 | const auto & column = block.getByPosition(arguments[0]).column; |
| 1299 | |
| 1300 | if (const auto column_string = checkAndGetColumn<ColumnString>(column.get())) |
| 1301 | { |
| 1302 | auto column_fixed = ColumnFixedString::create(n); |
| 1303 | |
| 1304 | auto & out_chars = column_fixed->getChars(); |
| 1305 | const auto & in_chars = column_string->getChars(); |
| 1306 | const auto & in_offsets = column_string->getOffsets(); |
| 1307 | |
| 1308 | out_chars.resize_fill(in_offsets.size() * n); |
| 1309 | |
| 1310 | for (size_t i = 0; i < in_offsets.size(); ++i) |
| 1311 | { |
| 1312 | const size_t off = i ? in_offsets[i - 1] : 0; |
| 1313 | const size_t len = in_offsets[i] - off - 1; |
| 1314 | if (len > n) |
| 1315 | throw Exception("String too long for type FixedString(" + toString(n) + ")" , |
| 1316 | ErrorCodes::TOO_LARGE_STRING_SIZE); |
| 1317 | memcpy(&out_chars[i * n], &in_chars[off], len); |
| 1318 | } |
| 1319 | |
| 1320 | block.getByPosition(result).column = std::move(column_fixed); |
| 1321 | } |
| 1322 | else if (const auto column_fixed_string = checkAndGetColumn<ColumnFixedString>(column.get())) |
| 1323 | { |
| 1324 | const auto src_n = column_fixed_string->getN(); |
| 1325 | if (src_n > n) |
| 1326 | throw Exception{"String too long for type FixedString(" + toString(n) + ")" , ErrorCodes::TOO_LARGE_STRING_SIZE}; |
| 1327 | |
| 1328 | auto column_fixed = ColumnFixedString::create(n); |
| 1329 | |
| 1330 | auto & out_chars = column_fixed->getChars(); |
| 1331 | const auto & in_chars = column_fixed_string->getChars(); |
| 1332 | const auto size = column_fixed_string->size(); |
| 1333 | out_chars.resize_fill(size * n); |
| 1334 | |
| 1335 | for (const auto i : ext::range(0, size)) |
| 1336 | memcpy(&out_chars[i * n], &in_chars[i * src_n], src_n); |
| 1337 | |
| 1338 | block.getByPosition(result).column = std::move(column_fixed); |
| 1339 | } |
| 1340 | else |
| 1341 | throw Exception("Unexpected column: " + column->getName(), ErrorCodes::ILLEGAL_COLUMN); |
| 1342 | } |
| 1343 | }; |
| 1344 | |
| 1345 | |
| 1346 | /// Monotonicity. |
| 1347 | |
| 1348 | struct PositiveMonotonicity |
| 1349 | { |
| 1350 | static bool has() { return true; } |
| 1351 | static IFunction::Monotonicity get(const IDataType &, const Field &, const Field &) |
| 1352 | { |
| 1353 | return { true }; |
| 1354 | } |
| 1355 | }; |
| 1356 | |
| 1357 | struct UnknownMonotonicity |
| 1358 | { |
| 1359 | static bool has() { return false; } |
| 1360 | static IFunction::Monotonicity get(const IDataType &, const Field &, const Field &) |
| 1361 | { |
| 1362 | return { false }; |
| 1363 | } |
| 1364 | }; |
| 1365 | |
| 1366 | template <typename T> |
| 1367 | struct ToNumberMonotonicity |
| 1368 | { |
| 1369 | static bool has() { return true; } |
| 1370 | |
| 1371 | static UInt64 divideByRangeOfType(UInt64 x) |
| 1372 | { |
| 1373 | if constexpr (sizeof(T) < sizeof(UInt64)) |
| 1374 | return x >> (sizeof(T) * 8); |
| 1375 | else |
| 1376 | return 0; |
| 1377 | } |
| 1378 | |
| 1379 | static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right) |
| 1380 | { |
| 1381 | if (!type.isValueRepresentedByNumber()) |
| 1382 | return {}; |
| 1383 | |
| 1384 | /// If type is same, the conversion is always monotonic. |
| 1385 | /// (Enum has separate case, because it is different data type) |
| 1386 | if (checkAndGetDataType<DataTypeNumber<T>>(&type) || |
| 1387 | checkAndGetDataType<DataTypeEnum<T>>(&type)) |
| 1388 | return { true, true, true }; |
| 1389 | |
| 1390 | /// Float cases. |
| 1391 | |
| 1392 | /// When converting to Float, the conversion is always monotonic. |
| 1393 | if (std::is_floating_point_v<T>) |
| 1394 | return {true, true, true}; |
| 1395 | |
| 1396 | /// If converting from Float, for monotonicity, arguments must fit in range of result type. |
| 1397 | if (WhichDataType(type).isFloat()) |
| 1398 | { |
| 1399 | if (left.isNull() || right.isNull()) |
| 1400 | return {}; |
| 1401 | |
| 1402 | Float64 left_float = left.get<Float64>(); |
| 1403 | Float64 right_float = right.get<Float64>(); |
| 1404 | |
| 1405 | if (left_float >= std::numeric_limits<T>::min() && left_float <= std::numeric_limits<T>::max() |
| 1406 | && right_float >= std::numeric_limits<T>::min() && right_float <= std::numeric_limits<T>::max()) |
| 1407 | return { true }; |
| 1408 | |
| 1409 | return {}; |
| 1410 | } |
| 1411 | |
| 1412 | /// Integer cases. |
| 1413 | |
| 1414 | const bool from_is_unsigned = type.isValueRepresentedByUnsignedInteger(); |
| 1415 | const bool to_is_unsigned = is_unsigned_v<T>; |
| 1416 | |
| 1417 | const size_t size_of_from = type.getSizeOfValueInMemory(); |
| 1418 | const size_t size_of_to = sizeof(T); |
| 1419 | |
| 1420 | const bool left_in_first_half = left.isNull() |
| 1421 | ? from_is_unsigned |
| 1422 | : (left.get<Int64>() >= 0); |
| 1423 | |
| 1424 | const bool right_in_first_half = right.isNull() |
| 1425 | ? !from_is_unsigned |
| 1426 | : (right.get<Int64>() >= 0); |
| 1427 | |
| 1428 | /// Size of type is the same. |
| 1429 | if (size_of_from == size_of_to) |
| 1430 | { |
| 1431 | if (from_is_unsigned == to_is_unsigned) |
| 1432 | return {true, true, true}; |
| 1433 | |
| 1434 | if (left_in_first_half == right_in_first_half) |
| 1435 | return {true}; |
| 1436 | |
| 1437 | return {}; |
| 1438 | } |
| 1439 | |
| 1440 | /// Size of type is expanded. |
| 1441 | if (size_of_from < size_of_to) |
| 1442 | { |
| 1443 | if (from_is_unsigned == to_is_unsigned) |
| 1444 | return {true, true, true}; |
| 1445 | |
| 1446 | if (!to_is_unsigned) |
| 1447 | return {true, true, true}; |
| 1448 | |
| 1449 | /// signed -> unsigned. If arguments from the same half, then function is monotonic. |
| 1450 | if (left_in_first_half == right_in_first_half) |
| 1451 | return {true}; |
| 1452 | |
| 1453 | return {}; |
| 1454 | } |
| 1455 | |
| 1456 | /// Size of type is shrinked. |
| 1457 | if (size_of_from > size_of_to) |
| 1458 | { |
| 1459 | /// Function cannot be monotonic on unbounded ranges. |
| 1460 | if (left.isNull() || right.isNull()) |
| 1461 | return {}; |
| 1462 | |
| 1463 | if (from_is_unsigned == to_is_unsigned) |
| 1464 | { |
| 1465 | /// all bits other than that fits, must be same. |
| 1466 | if (divideByRangeOfType(left.get<UInt64>()) == divideByRangeOfType(right.get<UInt64>())) |
| 1467 | return {true}; |
| 1468 | |
| 1469 | return {}; |
| 1470 | } |
| 1471 | else |
| 1472 | { |
| 1473 | /// When signedness is changed, it's also required for arguments to be from the same half. |
| 1474 | /// And they must be in the same half after converting to the result type. |
| 1475 | if (left_in_first_half == right_in_first_half |
| 1476 | && (T(left.get<Int64>()) >= 0) == (T(right.get<Int64>()) >= 0) |
| 1477 | && divideByRangeOfType(left.get<UInt64>()) == divideByRangeOfType(right.get<UInt64>())) |
| 1478 | return {true}; |
| 1479 | |
| 1480 | return {}; |
| 1481 | } |
| 1482 | } |
| 1483 | |
| 1484 | __builtin_unreachable(); |
| 1485 | } |
| 1486 | }; |
| 1487 | |
| 1488 | /** The monotonicity for the `toString` function is mainly determined for test purposes. |
| 1489 | * It is doubtful that anyone is looking to optimize queries with conditions `toString(CounterID) = 34`. |
| 1490 | */ |
| 1491 | struct ToStringMonotonicity |
| 1492 | { |
| 1493 | static bool has() { return true; } |
| 1494 | |
| 1495 | static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right) |
| 1496 | { |
| 1497 | IFunction::Monotonicity positive(true, true); |
| 1498 | IFunction::Monotonicity not_monotonic; |
| 1499 | |
| 1500 | /// `toString` function is monotonous if the argument is Date or DateTime, or non-negative numbers with the same number of symbols. |
| 1501 | |
| 1502 | if (checkAndGetDataType<DataTypeDate>(&type) |
| 1503 | || typeid_cast<const DataTypeDateTime *>(&type)) |
| 1504 | return positive; |
| 1505 | |
| 1506 | if (left.isNull() || right.isNull()) |
| 1507 | return {}; |
| 1508 | |
| 1509 | if (left.getType() == Field::Types::UInt64 |
| 1510 | && right.getType() == Field::Types::UInt64) |
| 1511 | { |
| 1512 | return (left.get<Int64>() == 0 && right.get<Int64>() == 0) |
| 1513 | || (floor(log10(left.get<UInt64>())) == floor(log10(right.get<UInt64>()))) |
| 1514 | ? positive : not_monotonic; |
| 1515 | } |
| 1516 | |
| 1517 | if (left.getType() == Field::Types::Int64 |
| 1518 | && right.getType() == Field::Types::Int64) |
| 1519 | { |
| 1520 | return (left.get<Int64>() == 0 && right.get<Int64>() == 0) |
| 1521 | || (left.get<Int64>() > 0 && right.get<Int64>() > 0 && floor(log10(left.get<Int64>())) == floor(log10(right.get<Int64>()))) |
| 1522 | ? positive : not_monotonic; |
| 1523 | } |
| 1524 | |
| 1525 | return not_monotonic; |
| 1526 | } |
| 1527 | }; |
| 1528 | |
| 1529 | |
| 1530 | struct NameToUInt8 { static constexpr auto name = "toUInt8" ; }; |
| 1531 | struct NameToUInt16 { static constexpr auto name = "toUInt16" ; }; |
| 1532 | struct NameToUInt32 { static constexpr auto name = "toUInt32" ; }; |
| 1533 | struct NameToUInt64 { static constexpr auto name = "toUInt64" ; }; |
| 1534 | struct NameToInt8 { static constexpr auto name = "toInt8" ; }; |
| 1535 | struct NameToInt16 { static constexpr auto name = "toInt16" ; }; |
| 1536 | struct NameToInt32 { static constexpr auto name = "toInt32" ; }; |
| 1537 | struct NameToInt64 { static constexpr auto name = "toInt64" ; }; |
| 1538 | struct NameToFloat32 { static constexpr auto name = "toFloat32" ; }; |
| 1539 | struct NameToFloat64 { static constexpr auto name = "toFloat64" ; }; |
| 1540 | struct NameToUUID { static constexpr auto name = "toUUID" ; }; |
| 1541 | |
| 1542 | using FunctionToUInt8 = FunctionConvert<DataTypeUInt8, NameToUInt8, ToNumberMonotonicity<UInt8>>; |
| 1543 | using FunctionToUInt16 = FunctionConvert<DataTypeUInt16, NameToUInt16, ToNumberMonotonicity<UInt16>>; |
| 1544 | using FunctionToUInt32 = FunctionConvert<DataTypeUInt32, NameToUInt32, ToNumberMonotonicity<UInt32>>; |
| 1545 | using FunctionToUInt64 = FunctionConvert<DataTypeUInt64, NameToUInt64, ToNumberMonotonicity<UInt64>>; |
| 1546 | using FunctionToInt8 = FunctionConvert<DataTypeInt8, NameToInt8, ToNumberMonotonicity<Int8>>; |
| 1547 | using FunctionToInt16 = FunctionConvert<DataTypeInt16, NameToInt16, ToNumberMonotonicity<Int16>>; |
| 1548 | using FunctionToInt32 = FunctionConvert<DataTypeInt32, NameToInt32, ToNumberMonotonicity<Int32>>; |
| 1549 | using FunctionToInt64 = FunctionConvert<DataTypeInt64, NameToInt64, ToNumberMonotonicity<Int64>>; |
| 1550 | using FunctionToFloat32 = FunctionConvert<DataTypeFloat32, NameToFloat32, ToNumberMonotonicity<Float32>>; |
| 1551 | using FunctionToFloat64 = FunctionConvert<DataTypeFloat64, NameToFloat64, ToNumberMonotonicity<Float64>>; |
| 1552 | using FunctionToDate = FunctionConvert<DataTypeDate, NameToDate, ToNumberMonotonicity<UInt16>>; |
| 1553 | using FunctionToDateTime = FunctionConvert<DataTypeDateTime, NameToDateTime, ToNumberMonotonicity<UInt32>>; |
| 1554 | using FunctionToDateTime64 = FunctionConvert<DataTypeDateTime64, NameToDateTime64, UnknownMonotonicity>; |
| 1555 | using FunctionToUUID = FunctionConvert<DataTypeUUID, NameToUUID, ToNumberMonotonicity<UInt128>>; |
| 1556 | using FunctionToString = FunctionConvert<DataTypeString, NameToString, ToStringMonotonicity>; |
| 1557 | using FunctionToUnixTimestamp = FunctionConvert<DataTypeUInt32, NameToUnixTimestamp, ToNumberMonotonicity<UInt32>>; |
| 1558 | using FunctionToDecimal32 = FunctionConvert<DataTypeDecimal<Decimal32>, NameToDecimal32, UnknownMonotonicity>; |
| 1559 | using FunctionToDecimal64 = FunctionConvert<DataTypeDecimal<Decimal64>, NameToDecimal64, UnknownMonotonicity>; |
| 1560 | using FunctionToDecimal128 = FunctionConvert<DataTypeDecimal<Decimal128>, NameToDecimal128, UnknownMonotonicity>; |
| 1561 | |
| 1562 | |
| 1563 | template <typename DataType> struct FunctionTo; |
| 1564 | |
| 1565 | template <> struct FunctionTo<DataTypeUInt8> { using Type = FunctionToUInt8; }; |
| 1566 | template <> struct FunctionTo<DataTypeUInt16> { using Type = FunctionToUInt16; }; |
| 1567 | template <> struct FunctionTo<DataTypeUInt32> { using Type = FunctionToUInt32; }; |
| 1568 | template <> struct FunctionTo<DataTypeUInt64> { using Type = FunctionToUInt64; }; |
| 1569 | template <> struct FunctionTo<DataTypeInt8> { using Type = FunctionToInt8; }; |
| 1570 | template <> struct FunctionTo<DataTypeInt16> { using Type = FunctionToInt16; }; |
| 1571 | template <> struct FunctionTo<DataTypeInt32> { using Type = FunctionToInt32; }; |
| 1572 | template <> struct FunctionTo<DataTypeInt64> { using Type = FunctionToInt64; }; |
| 1573 | template <> struct FunctionTo<DataTypeFloat32> { using Type = FunctionToFloat32; }; |
| 1574 | template <> struct FunctionTo<DataTypeFloat64> { using Type = FunctionToFloat64; }; |
| 1575 | template <> struct FunctionTo<DataTypeDate> { using Type = FunctionToDate; }; |
| 1576 | template <> struct FunctionTo<DataTypeDateTime> { using Type = FunctionToDateTime; }; |
| 1577 | template <> struct FunctionTo<DataTypeDateTime64> { using Type = FunctionToDateTime64; }; |
| 1578 | template <> struct FunctionTo<DataTypeUUID> { using Type = FunctionToUUID; }; |
| 1579 | template <> struct FunctionTo<DataTypeString> { using Type = FunctionToString; }; |
| 1580 | template <> struct FunctionTo<DataTypeFixedString> { using Type = FunctionToFixedString; }; |
| 1581 | template <> struct FunctionTo<DataTypeDecimal<Decimal32>> { using Type = FunctionToDecimal32; }; |
| 1582 | template <> struct FunctionTo<DataTypeDecimal<Decimal64>> { using Type = FunctionToDecimal64; }; |
| 1583 | template <> struct FunctionTo<DataTypeDecimal<Decimal128>> { using Type = FunctionToDecimal128; }; |
| 1584 | |
| 1585 | template <typename FieldType> struct FunctionTo<DataTypeEnum<FieldType>> |
| 1586 | : FunctionTo<DataTypeNumber<FieldType>> |
| 1587 | { |
| 1588 | }; |
| 1589 | |
| 1590 | struct NameToUInt8OrZero { static constexpr auto name = "toUInt8OrZero" ; }; |
| 1591 | struct NameToUInt16OrZero { static constexpr auto name = "toUInt16OrZero" ; }; |
| 1592 | struct NameToUInt32OrZero { static constexpr auto name = "toUInt32OrZero" ; }; |
| 1593 | struct NameToUInt64OrZero { static constexpr auto name = "toUInt64OrZero" ; }; |
| 1594 | struct NameToInt8OrZero { static constexpr auto name = "toInt8OrZero" ; }; |
| 1595 | struct NameToInt16OrZero { static constexpr auto name = "toInt16OrZero" ; }; |
| 1596 | struct NameToInt32OrZero { static constexpr auto name = "toInt32OrZero" ; }; |
| 1597 | struct NameToInt64OrZero { static constexpr auto name = "toInt64OrZero" ; }; |
| 1598 | struct NameToFloat32OrZero { static constexpr auto name = "toFloat32OrZero" ; }; |
| 1599 | struct NameToFloat64OrZero { static constexpr auto name = "toFloat64OrZero" ; }; |
| 1600 | struct NameToDateOrZero { static constexpr auto name = "toDateOrZero" ; }; |
| 1601 | struct NameToDateTimeOrZero { static constexpr auto name = "toDateTimeOrZero" ; }; |
| 1602 | struct NameToDateTime64OrZero { static constexpr auto name = "toDateTime64OrZero" ; }; |
| 1603 | struct NameToDecimal32OrZero { static constexpr auto name = "toDecimal32OrZero" ; }; |
| 1604 | struct NameToDecimal64OrZero { static constexpr auto name = "toDecimal64OrZero" ; }; |
| 1605 | struct NameToDecimal128OrZero { static constexpr auto name = "toDecimal128OrZero" ; }; |
| 1606 | |
| 1607 | using FunctionToUInt8OrZero = FunctionConvertFromString<DataTypeUInt8, NameToUInt8OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1608 | using FunctionToUInt16OrZero = FunctionConvertFromString<DataTypeUInt16, NameToUInt16OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1609 | using FunctionToUInt32OrZero = FunctionConvertFromString<DataTypeUInt32, NameToUInt32OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1610 | using FunctionToUInt64OrZero = FunctionConvertFromString<DataTypeUInt64, NameToUInt64OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1611 | using FunctionToInt8OrZero = FunctionConvertFromString<DataTypeInt8, NameToInt8OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1612 | using FunctionToInt16OrZero = FunctionConvertFromString<DataTypeInt16, NameToInt16OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1613 | using FunctionToInt32OrZero = FunctionConvertFromString<DataTypeInt32, NameToInt32OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1614 | using FunctionToInt64OrZero = FunctionConvertFromString<DataTypeInt64, NameToInt64OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1615 | using FunctionToFloat32OrZero = FunctionConvertFromString<DataTypeFloat32, NameToFloat32OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1616 | using FunctionToFloat64OrZero = FunctionConvertFromString<DataTypeFloat64, NameToFloat64OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1617 | using FunctionToDateOrZero = FunctionConvertFromString<DataTypeDate, NameToDateOrZero, ConvertFromStringExceptionMode::Zero>; |
| 1618 | using FunctionToDateTimeOrZero = FunctionConvertFromString<DataTypeDateTime, NameToDateTimeOrZero, ConvertFromStringExceptionMode::Zero>; |
| 1619 | using FunctionToDateTime64OrZero = FunctionConvertFromString<DataTypeDateTime64, NameToDateTime64OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1620 | using FunctionToDecimal32OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal32>, NameToDecimal32OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1621 | using FunctionToDecimal64OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal64>, NameToDecimal64OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1622 | using FunctionToDecimal128OrZero = FunctionConvertFromString<DataTypeDecimal<Decimal128>, NameToDecimal128OrZero, ConvertFromStringExceptionMode::Zero>; |
| 1623 | |
| 1624 | struct NameToUInt8OrNull { static constexpr auto name = "toUInt8OrNull" ; }; |
| 1625 | struct NameToUInt16OrNull { static constexpr auto name = "toUInt16OrNull" ; }; |
| 1626 | struct NameToUInt32OrNull { static constexpr auto name = "toUInt32OrNull" ; }; |
| 1627 | struct NameToUInt64OrNull { static constexpr auto name = "toUInt64OrNull" ; }; |
| 1628 | struct NameToInt8OrNull { static constexpr auto name = "toInt8OrNull" ; }; |
| 1629 | struct NameToInt16OrNull { static constexpr auto name = "toInt16OrNull" ; }; |
| 1630 | struct NameToInt32OrNull { static constexpr auto name = "toInt32OrNull" ; }; |
| 1631 | struct NameToInt64OrNull { static constexpr auto name = "toInt64OrNull" ; }; |
| 1632 | struct NameToFloat32OrNull { static constexpr auto name = "toFloat32OrNull" ; }; |
| 1633 | struct NameToFloat64OrNull { static constexpr auto name = "toFloat64OrNull" ; }; |
| 1634 | struct NameToDateOrNull { static constexpr auto name = "toDateOrNull" ; }; |
| 1635 | struct NameToDateTimeOrNull { static constexpr auto name = "toDateTimeOrNull" ; }; |
| 1636 | struct NameToDateTime64OrNull { static constexpr auto name = "toDateTime64OrNull" ; }; |
| 1637 | struct NameToDecimal32OrNull { static constexpr auto name = "toDecimal32OrNull" ; }; |
| 1638 | struct NameToDecimal64OrNull { static constexpr auto name = "toDecimal64OrNull" ; }; |
| 1639 | struct NameToDecimal128OrNull { static constexpr auto name = "toDecimal128OrNull" ; }; |
| 1640 | |
| 1641 | using FunctionToUInt8OrNull = FunctionConvertFromString<DataTypeUInt8, NameToUInt8OrNull, ConvertFromStringExceptionMode::Null>; |
| 1642 | using FunctionToUInt16OrNull = FunctionConvertFromString<DataTypeUInt16, NameToUInt16OrNull, ConvertFromStringExceptionMode::Null>; |
| 1643 | using FunctionToUInt32OrNull = FunctionConvertFromString<DataTypeUInt32, NameToUInt32OrNull, ConvertFromStringExceptionMode::Null>; |
| 1644 | using FunctionToUInt64OrNull = FunctionConvertFromString<DataTypeUInt64, NameToUInt64OrNull, ConvertFromStringExceptionMode::Null>; |
| 1645 | using FunctionToInt8OrNull = FunctionConvertFromString<DataTypeInt8, NameToInt8OrNull, ConvertFromStringExceptionMode::Null>; |
| 1646 | using FunctionToInt16OrNull = FunctionConvertFromString<DataTypeInt16, NameToInt16OrNull, ConvertFromStringExceptionMode::Null>; |
| 1647 | using FunctionToInt32OrNull = FunctionConvertFromString<DataTypeInt32, NameToInt32OrNull, ConvertFromStringExceptionMode::Null>; |
| 1648 | using FunctionToInt64OrNull = FunctionConvertFromString<DataTypeInt64, NameToInt64OrNull, ConvertFromStringExceptionMode::Null>; |
| 1649 | using FunctionToFloat32OrNull = FunctionConvertFromString<DataTypeFloat32, NameToFloat32OrNull, ConvertFromStringExceptionMode::Null>; |
| 1650 | using FunctionToFloat64OrNull = FunctionConvertFromString<DataTypeFloat64, NameToFloat64OrNull, ConvertFromStringExceptionMode::Null>; |
| 1651 | using FunctionToDateOrNull = FunctionConvertFromString<DataTypeDate, NameToDateOrNull, ConvertFromStringExceptionMode::Null>; |
| 1652 | using FunctionToDateTimeOrNull = FunctionConvertFromString<DataTypeDateTime, NameToDateTimeOrNull, ConvertFromStringExceptionMode::Null>; |
| 1653 | using FunctionToDateTime64OrNull = FunctionConvertFromString<DataTypeDateTime64, NameToDateTime64OrNull, ConvertFromStringExceptionMode::Null>; |
| 1654 | using FunctionToDecimal32OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal32>, NameToDecimal32OrNull, ConvertFromStringExceptionMode::Null>; |
| 1655 | using FunctionToDecimal64OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal64>, NameToDecimal64OrNull, ConvertFromStringExceptionMode::Null>; |
| 1656 | using FunctionToDecimal128OrNull = FunctionConvertFromString<DataTypeDecimal<Decimal128>, NameToDecimal128OrNull, ConvertFromStringExceptionMode::Null>; |
| 1657 | |
| 1658 | struct NameParseDateTimeBestEffort { static constexpr auto name = "parseDateTimeBestEffort" ; }; |
| 1659 | struct NameParseDateTimeBestEffortOrZero { static constexpr auto name = "parseDateTimeBestEffortOrZero" ; }; |
| 1660 | struct NameParseDateTimeBestEffortOrNull { static constexpr auto name = "parseDateTimeBestEffortOrNull" ; }; |
| 1661 | struct NameParseDateTime64BestEffort { static constexpr auto name = "parseDateTime64BestEffort" ; }; |
| 1662 | struct NameParseDateTime64BestEffortOrZero { static constexpr auto name = "parseDateTime64BestEffortOrZero" ; }; |
| 1663 | struct NameParseDateTime64BestEffortOrNull { static constexpr auto name = "parseDateTime64BestEffortOrNull" ; }; |
| 1664 | |
| 1665 | |
| 1666 | using FunctionParseDateTimeBestEffort = FunctionConvertFromString< |
| 1667 | DataTypeDateTime, NameParseDateTimeBestEffort, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffort>; |
| 1668 | using FunctionParseDateTimeBestEffortOrZero = FunctionConvertFromString< |
| 1669 | DataTypeDateTime, NameParseDateTimeBestEffortOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffort>; |
| 1670 | using FunctionParseDateTimeBestEffortOrNull = FunctionConvertFromString< |
| 1671 | DataTypeDateTime, NameParseDateTimeBestEffortOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffort>; |
| 1672 | |
| 1673 | using FunctionParseDateTime64BestEffort = FunctionConvertFromString< |
| 1674 | DataTypeDateTime64, NameParseDateTime64BestEffort, ConvertFromStringExceptionMode::Throw, ConvertFromStringParsingMode::BestEffort>; |
| 1675 | using FunctionParseDateTime64BestEffortOrZero = FunctionConvertFromString< |
| 1676 | DataTypeDateTime64, NameParseDateTime64BestEffortOrZero, ConvertFromStringExceptionMode::Zero, ConvertFromStringParsingMode::BestEffort>; |
| 1677 | using FunctionParseDateTime64BestEffortOrNull = FunctionConvertFromString< |
| 1678 | DataTypeDateTime64, NameParseDateTime64BestEffortOrNull, ConvertFromStringExceptionMode::Null, ConvertFromStringParsingMode::BestEffort>; |
| 1679 | |
| 1680 | class ExecutableFunctionCast : public IExecutableFunctionImpl |
| 1681 | { |
| 1682 | public: |
| 1683 | using WrapperType = std::function<void(Block &, const ColumnNumbers &, size_t, size_t)>; |
| 1684 | |
| 1685 | explicit ExecutableFunctionCast(WrapperType && wrapper_function_, const char * name_) |
| 1686 | : wrapper_function(std::move(wrapper_function_)), name(name_) {} |
| 1687 | |
| 1688 | String getName() const override { return name; } |
| 1689 | |
| 1690 | protected: |
| 1691 | void execute(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override |
| 1692 | { |
| 1693 | /// drop second argument, pass others |
| 1694 | ColumnNumbers new_arguments{arguments.front()}; |
| 1695 | if (arguments.size() > 2) |
| 1696 | new_arguments.insert(std::end(new_arguments), std::next(std::begin(arguments), 2), std::end(arguments)); |
| 1697 | |
| 1698 | wrapper_function(block, new_arguments, result, input_rows_count); |
| 1699 | } |
| 1700 | |
| 1701 | bool useDefaultImplementationForNulls() const override { return false; } |
| 1702 | bool useDefaultImplementationForConstants() const override { return true; } |
| 1703 | bool useDefaultImplementationForLowCardinalityColumns() const override { return false; } |
| 1704 | ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } |
| 1705 | |
| 1706 | private: |
| 1707 | WrapperType wrapper_function; |
| 1708 | const char * name; |
| 1709 | }; |
| 1710 | |
| 1711 | |
| 1712 | struct NameCast { static constexpr auto name = "CAST" ; }; |
| 1713 | |
| 1714 | class FunctionCast final : public IFunctionBaseImpl |
| 1715 | { |
| 1716 | public: |
| 1717 | using WrapperType = std::function<void(Block &, const ColumnNumbers &, size_t, size_t)>; |
| 1718 | using MonotonicityForRange = std::function<Monotonicity(const IDataType &, const Field &, const Field &)>; |
| 1719 | |
| 1720 | FunctionCast(const char * name_, MonotonicityForRange && monotonicity_for_range_ |
| 1721 | , const DataTypes & argument_types_, const DataTypePtr & return_type_) |
| 1722 | : name(name_), monotonicity_for_range(monotonicity_for_range_) |
| 1723 | , argument_types(argument_types_), return_type(return_type_) |
| 1724 | { |
| 1725 | } |
| 1726 | |
| 1727 | const DataTypes & getArgumentTypes() const override { return argument_types; } |
| 1728 | const DataTypePtr & getReturnType() const override { return return_type; } |
| 1729 | |
| 1730 | ExecutableFunctionImplPtr prepare(const Block & /*sample_block*/, const ColumnNumbers & /*arguments*/, size_t /*result*/) const override |
| 1731 | { |
| 1732 | return std::make_unique<ExecutableFunctionCast>( |
| 1733 | prepareUnpackDictionaries(getArgumentTypes()[0], getReturnType()), name); |
| 1734 | } |
| 1735 | |
| 1736 | String getName() const override { return name; } |
| 1737 | |
| 1738 | bool isDeterministic() const override { return true; } |
| 1739 | bool isDeterministicInScopeOfQuery() const override { return true; } |
| 1740 | |
| 1741 | bool hasInformationAboutMonotonicity() const override |
| 1742 | { |
| 1743 | return static_cast<bool>(monotonicity_for_range); |
| 1744 | } |
| 1745 | |
| 1746 | Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override |
| 1747 | { |
| 1748 | return monotonicity_for_range(type, left, right); |
| 1749 | } |
| 1750 | |
| 1751 | private: |
| 1752 | |
| 1753 | const char * name; |
| 1754 | MonotonicityForRange monotonicity_for_range; |
| 1755 | |
| 1756 | DataTypes argument_types; |
| 1757 | DataTypePtr return_type; |
| 1758 | |
| 1759 | template <typename DataType> |
| 1760 | WrapperType createWrapper(const DataTypePtr & from_type, const DataType * const, bool requested_result_is_nullable) const |
| 1761 | { |
| 1762 | FunctionPtr function; |
| 1763 | |
| 1764 | if (requested_result_is_nullable && checkAndGetDataType<DataTypeString>(from_type.get())) |
| 1765 | { |
| 1766 | /// In case when converting to Nullable type, we apply different parsing rule, |
| 1767 | /// that will not throw an exception but return NULL in case of malformed input. |
| 1768 | function = FunctionConvertFromString<DataType, NameCast, ConvertFromStringExceptionMode::Null>::create(); |
| 1769 | } |
| 1770 | else |
| 1771 | function = FunctionTo<DataType>::Type::create(); |
| 1772 | |
| 1773 | auto function_adaptor = |
| 1774 | FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(function)) |
| 1775 | .build({ColumnWithTypeAndName{nullptr, from_type, "" }}); |
| 1776 | |
| 1777 | return [function_adaptor] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 1778 | { |
| 1779 | function_adaptor->execute(block, arguments, result, input_rows_count); |
| 1780 | }; |
| 1781 | } |
| 1782 | |
| 1783 | WrapperType createStringWrapper(const DataTypePtr & from_type) const |
| 1784 | { |
| 1785 | FunctionPtr function = FunctionToString::create(); |
| 1786 | |
| 1787 | auto function_adaptor = |
| 1788 | FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(function)) |
| 1789 | .build({ColumnWithTypeAndName{nullptr, from_type, "" }}); |
| 1790 | |
| 1791 | return [function_adaptor] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 1792 | { |
| 1793 | function_adaptor->execute(block, arguments, result, input_rows_count); |
| 1794 | }; |
| 1795 | } |
| 1796 | |
| 1797 | static WrapperType createFixedStringWrapper(const DataTypePtr & from_type, const size_t N) |
| 1798 | { |
| 1799 | if (!isStringOrFixedString(from_type)) |
| 1800 | throw Exception{"CAST AS FixedString is only implemented for types String and FixedString" , ErrorCodes::NOT_IMPLEMENTED}; |
| 1801 | |
| 1802 | return [N] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 1803 | { |
| 1804 | FunctionToFixedString::executeForN(block, arguments, result, N); |
| 1805 | }; |
| 1806 | } |
| 1807 | |
| 1808 | WrapperType createUUIDWrapper(const DataTypePtr & from_type, const DataTypeUUID * const, bool requested_result_is_nullable) const |
| 1809 | { |
| 1810 | if (requested_result_is_nullable) |
| 1811 | throw Exception{"CAST AS Nullable(UUID) is not implemented" , ErrorCodes::NOT_IMPLEMENTED}; |
| 1812 | |
| 1813 | FunctionPtr function = FunctionTo<DataTypeUUID>::Type::create(); |
| 1814 | |
| 1815 | auto function_adaptor = |
| 1816 | FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(function)) |
| 1817 | .build({ColumnWithTypeAndName{nullptr, from_type, "" }}); |
| 1818 | |
| 1819 | return [function_adaptor] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 1820 | { |
| 1821 | function_adaptor->execute(block, arguments, result, input_rows_count); |
| 1822 | }; |
| 1823 | } |
| 1824 | |
| 1825 | template <typename ToDataType> |
| 1826 | std::enable_if_t<IsDataTypeDecimal<ToDataType>, WrapperType> |
| 1827 | createDecimalWrapper(const DataTypePtr & from_type, const ToDataType * to_type) const |
| 1828 | { |
| 1829 | TypeIndex type_index = from_type->getTypeId(); |
| 1830 | UInt32 scale = to_type->getScale(); |
| 1831 | |
| 1832 | WhichDataType which(type_index); |
| 1833 | bool ok = which.isNativeInt() || |
| 1834 | which.isNativeUInt() || |
| 1835 | which.isDecimal() || |
| 1836 | which.isFloat() || |
| 1837 | which.isDateOrDateTime() || |
| 1838 | which.isStringOrFixedString(); |
| 1839 | if (!ok) |
| 1840 | throw Exception{"Conversion from " + from_type->getName() + " to " + to_type->getName() + " is not supported" , |
| 1841 | ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 1842 | |
| 1843 | return [type_index, scale, to_type] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 1844 | { |
| 1845 | auto res = callOnIndexAndDataType<ToDataType>(type_index, [&](const auto & types) -> bool |
| 1846 | { |
| 1847 | using Types = std::decay_t<decltype(types)>; |
| 1848 | using LeftDataType = typename Types::LeftType; |
| 1849 | using RightDataType = typename Types::RightType; |
| 1850 | |
| 1851 | ConvertImpl<LeftDataType, RightDataType, NameCast>::execute(block, arguments, result, input_rows_count, scale); |
| 1852 | return true; |
| 1853 | }); |
| 1854 | |
| 1855 | /// Additionally check if callOnIndexAndDataType wasn't called at all. |
| 1856 | if (!res) |
| 1857 | { |
| 1858 | throw Exception{"Conversion from " + std::string(getTypeName(type_index)) + " to " + to_type->getName() + |
| 1859 | " is not supported" , ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 1860 | } |
| 1861 | }; |
| 1862 | } |
| 1863 | |
| 1864 | WrapperType createAggregateFunctionWrapper(const DataTypePtr & from_type_untyped, const DataTypeAggregateFunction * to_type) const |
| 1865 | { |
| 1866 | /// Conversion from String through parsing. |
| 1867 | if (checkAndGetDataType<DataTypeString>(from_type_untyped.get())) |
| 1868 | { |
| 1869 | return [] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 1870 | { |
| 1871 | ConvertImplGenericFromString::execute(block, arguments, result); |
| 1872 | }; |
| 1873 | } |
| 1874 | else |
| 1875 | throw Exception{"Conversion from " + from_type_untyped->getName() + " to " + to_type->getName() + |
| 1876 | " is not supported" , ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 1877 | } |
| 1878 | |
| 1879 | WrapperType createArrayWrapper(const DataTypePtr & from_type_untyped, const DataTypeArray * to_type) const |
| 1880 | { |
| 1881 | /// Conversion from String through parsing. |
| 1882 | if (checkAndGetDataType<DataTypeString>(from_type_untyped.get())) |
| 1883 | { |
| 1884 | return [] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 1885 | { |
| 1886 | ConvertImplGenericFromString::execute(block, arguments, result); |
| 1887 | }; |
| 1888 | } |
| 1889 | |
| 1890 | DataTypePtr from_nested_type; |
| 1891 | DataTypePtr to_nested_type; |
| 1892 | auto from_type = checkAndGetDataType<DataTypeArray>(from_type_untyped.get()); |
| 1893 | |
| 1894 | /// get the most nested type |
| 1895 | if (from_type && to_type) |
| 1896 | { |
| 1897 | from_nested_type = from_type->getNestedType(); |
| 1898 | to_nested_type = to_type->getNestedType(); |
| 1899 | |
| 1900 | from_type = checkAndGetDataType<DataTypeArray>(from_nested_type.get()); |
| 1901 | to_type = checkAndGetDataType<DataTypeArray>(to_nested_type.get()); |
| 1902 | } |
| 1903 | |
| 1904 | /// both from_type and to_type should be nullptr now is array types had same dimensions |
| 1905 | if ((from_type == nullptr) != (to_type == nullptr)) |
| 1906 | throw Exception{"CAST AS Array can only be performed between same-dimensional array types or from String" , |
| 1907 | ErrorCodes::TYPE_MISMATCH}; |
| 1908 | |
| 1909 | /// Prepare nested type conversion |
| 1910 | const auto nested_function = prepareUnpackDictionaries(from_nested_type, to_nested_type); |
| 1911 | |
| 1912 | return [nested_function, from_nested_type, to_nested_type]( |
| 1913 | Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 1914 | { |
| 1915 | const auto & array_arg = block.getByPosition(arguments.front()); |
| 1916 | |
| 1917 | if (const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(array_arg.column.get())) |
| 1918 | { |
| 1919 | /// create block for converting nested column containing original and result columns |
| 1920 | Block nested_block |
| 1921 | { |
| 1922 | { col_array->getDataPtr(), from_nested_type, "" }, |
| 1923 | { nullptr, to_nested_type, "" } |
| 1924 | }; |
| 1925 | |
| 1926 | /// convert nested column |
| 1927 | nested_function(nested_block, {0}, 1, nested_block.rows()); |
| 1928 | |
| 1929 | /// set converted nested column to result |
| 1930 | block.getByPosition(result).column = ColumnArray::create(nested_block.getByPosition(1).column, col_array->getOffsetsPtr()); |
| 1931 | } |
| 1932 | else |
| 1933 | throw Exception{"Illegal column " + array_arg.column->getName() + " for function CAST AS Array" , ErrorCodes::LOGICAL_ERROR}; |
| 1934 | }; |
| 1935 | } |
| 1936 | |
| 1937 | WrapperType createTupleWrapper(const DataTypePtr & from_type_untyped, const DataTypeTuple * to_type) const |
| 1938 | { |
| 1939 | /// Conversion from String through parsing. |
| 1940 | if (checkAndGetDataType<DataTypeString>(from_type_untyped.get())) |
| 1941 | { |
| 1942 | return [] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 1943 | { |
| 1944 | ConvertImplGenericFromString::execute(block, arguments, result); |
| 1945 | }; |
| 1946 | } |
| 1947 | |
| 1948 | const auto from_type = checkAndGetDataType<DataTypeTuple>(from_type_untyped.get()); |
| 1949 | if (!from_type) |
| 1950 | throw Exception{"CAST AS Tuple can only be performed between tuple types or from String.\nLeft type: " |
| 1951 | + from_type_untyped->getName() + ", right type: " + to_type->getName(), ErrorCodes::TYPE_MISMATCH}; |
| 1952 | |
| 1953 | if (from_type->getElements().size() != to_type->getElements().size()) |
| 1954 | throw Exception{"CAST AS Tuple can only be performed between tuple types with the same number of elements or from String.\n" |
| 1955 | "Left type: " + from_type->getName() + ", right type: " + to_type->getName(), ErrorCodes::TYPE_MISMATCH}; |
| 1956 | |
| 1957 | const auto & from_element_types = from_type->getElements(); |
| 1958 | const auto & to_element_types = to_type->getElements(); |
| 1959 | std::vector<WrapperType> element_wrappers; |
| 1960 | element_wrappers.reserve(from_element_types.size()); |
| 1961 | |
| 1962 | /// Create conversion wrapper for each element in tuple |
| 1963 | for (const auto idx_type : ext::enumerate(from_type->getElements())) |
| 1964 | element_wrappers.push_back(prepareUnpackDictionaries(idx_type.second, to_element_types[idx_type.first])); |
| 1965 | |
| 1966 | return [element_wrappers, from_element_types, to_element_types] |
| 1967 | (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 1968 | { |
| 1969 | const auto col = block.getByPosition(arguments.front()).column.get(); |
| 1970 | |
| 1971 | /// copy tuple elements to a separate block |
| 1972 | Block element_block; |
| 1973 | |
| 1974 | size_t tuple_size = from_element_types.size(); |
| 1975 | const ColumnTuple & column_tuple = typeid_cast<const ColumnTuple &>(*col); |
| 1976 | |
| 1977 | /// create columns for source elements |
| 1978 | for (size_t i = 0; i < tuple_size; ++i) |
| 1979 | element_block.insert({ column_tuple.getColumns()[i], from_element_types[i], "" }); |
| 1980 | |
| 1981 | /// create columns for converted elements |
| 1982 | for (const auto & to_element_type : to_element_types) |
| 1983 | element_block.insert({ nullptr, to_element_type, "" }); |
| 1984 | |
| 1985 | /// insert column for converted tuple |
| 1986 | element_block.insert({ nullptr, std::make_shared<DataTypeTuple>(to_element_types), "" }); |
| 1987 | |
| 1988 | /// invoke conversion for each element |
| 1989 | for (const auto idx_element_wrapper : ext::enumerate(element_wrappers)) |
| 1990 | idx_element_wrapper.second(element_block, { idx_element_wrapper.first }, |
| 1991 | tuple_size + idx_element_wrapper.first, input_rows_count); |
| 1992 | |
| 1993 | Columns converted_columns(tuple_size); |
| 1994 | for (size_t i = 0; i < tuple_size; ++i) |
| 1995 | converted_columns[i] = element_block.getByPosition(tuple_size + i).column; |
| 1996 | |
| 1997 | block.getByPosition(result).column = ColumnTuple::create(converted_columns); |
| 1998 | }; |
| 1999 | } |
| 2000 | |
| 2001 | template <typename FieldType> |
| 2002 | WrapperType createEnumWrapper(const DataTypePtr & from_type, const DataTypeEnum<FieldType> * to_type) const |
| 2003 | { |
| 2004 | using EnumType = DataTypeEnum<FieldType>; |
| 2005 | using Function = typename FunctionTo<EnumType>::Type; |
| 2006 | |
| 2007 | if (const auto from_enum8 = checkAndGetDataType<DataTypeEnum8>(from_type.get())) |
| 2008 | checkEnumToEnumConversion(from_enum8, to_type); |
| 2009 | else if (const auto from_enum16 = checkAndGetDataType<DataTypeEnum16>(from_type.get())) |
| 2010 | checkEnumToEnumConversion(from_enum16, to_type); |
| 2011 | |
| 2012 | if (checkAndGetDataType<DataTypeString>(from_type.get())) |
| 2013 | return createStringToEnumWrapper<ColumnString, EnumType>(); |
| 2014 | else if (checkAndGetDataType<DataTypeFixedString>(from_type.get())) |
| 2015 | return createStringToEnumWrapper<ColumnFixedString, EnumType>(); |
| 2016 | else if (isNativeNumber(from_type) || isEnum(from_type)) |
| 2017 | { |
| 2018 | auto function = Function::create(); |
| 2019 | auto func_or_adaptor = FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(function)) |
| 2020 | .build(ColumnsWithTypeAndName{{nullptr, from_type, "" }}); |
| 2021 | |
| 2022 | return [func_or_adaptor] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 2023 | { |
| 2024 | func_or_adaptor->execute(block, arguments, result, input_rows_count); |
| 2025 | }; |
| 2026 | } |
| 2027 | else |
| 2028 | throw Exception{"Conversion from " + from_type->getName() + " to " + to_type->getName() + |
| 2029 | " is not supported" , ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 2030 | } |
| 2031 | |
| 2032 | template <typename EnumTypeFrom, typename EnumTypeTo> |
| 2033 | void checkEnumToEnumConversion(const EnumTypeFrom * from_type, const EnumTypeTo * to_type) const |
| 2034 | { |
| 2035 | const auto & from_values = from_type->getValues(); |
| 2036 | const auto & to_values = to_type->getValues(); |
| 2037 | |
| 2038 | using ValueType = std::common_type_t<typename EnumTypeFrom::FieldType, typename EnumTypeTo::FieldType>; |
| 2039 | using NameValuePair = std::pair<std::string, ValueType>; |
| 2040 | using EnumValues = std::vector<NameValuePair>; |
| 2041 | |
| 2042 | EnumValues name_intersection; |
| 2043 | std::set_intersection(std::begin(from_values), std::end(from_values), |
| 2044 | std::begin(to_values), std::end(to_values), std::back_inserter(name_intersection), |
| 2045 | [] (auto && from, auto && to) { return from.first < to.first; }); |
| 2046 | |
| 2047 | for (const auto & name_value : name_intersection) |
| 2048 | { |
| 2049 | const auto & old_value = name_value.second; |
| 2050 | const auto & new_value = to_type->getValue(name_value.first); |
| 2051 | if (old_value != new_value) |
| 2052 | throw Exception{"Enum conversion changes value for element '" + name_value.first + |
| 2053 | "' from " + toString(old_value) + " to " + toString(new_value), ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 2054 | } |
| 2055 | } |
| 2056 | |
| 2057 | template <typename ColumnStringType, typename EnumType> |
| 2058 | WrapperType createStringToEnumWrapper() const |
| 2059 | { |
| 2060 | const char * function_name = name; |
| 2061 | return [function_name] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 2062 | { |
| 2063 | const auto first_col = block.getByPosition(arguments.front()).column.get(); |
| 2064 | |
| 2065 | auto & col_with_type_and_name = block.getByPosition(result); |
| 2066 | const auto & result_type = typeid_cast<const EnumType &>(*col_with_type_and_name.type); |
| 2067 | |
| 2068 | if (const auto col = typeid_cast<const ColumnStringType *>(first_col)) |
| 2069 | { |
| 2070 | const auto size = col->size(); |
| 2071 | |
| 2072 | auto res = result_type.createColumn(); |
| 2073 | auto & out_data = static_cast<typename EnumType::ColumnType &>(*res).getData(); |
| 2074 | out_data.resize(size); |
| 2075 | |
| 2076 | for (const auto i : ext::range(0, size)) |
| 2077 | out_data[i] = result_type.getValue(col->getDataAt(i)); |
| 2078 | |
| 2079 | col_with_type_and_name.column = std::move(res); |
| 2080 | } |
| 2081 | else |
| 2082 | throw Exception{"Unexpected column " + first_col->getName() + " as first argument of function " + function_name, |
| 2083 | ErrorCodes::LOGICAL_ERROR}; |
| 2084 | }; |
| 2085 | } |
| 2086 | |
| 2087 | WrapperType createIdentityWrapper(const DataTypePtr &) const |
| 2088 | { |
| 2089 | return [] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t /*input_rows_count*/) |
| 2090 | { |
| 2091 | block.getByPosition(result).column = block.getByPosition(arguments.front()).column; |
| 2092 | }; |
| 2093 | } |
| 2094 | |
| 2095 | WrapperType createNothingWrapper(const IDataType * to_type) const |
| 2096 | { |
| 2097 | ColumnPtr res = to_type->createColumnConstWithDefaultValue(1); |
| 2098 | return [res] (Block & block, const ColumnNumbers &, const size_t result, size_t input_rows_count) |
| 2099 | { |
| 2100 | /// Column of Nothing type is trivially convertible to any other column |
| 2101 | block.getByPosition(result).column = res->cloneResized(input_rows_count)->convertToFullColumnIfConst(); |
| 2102 | }; |
| 2103 | } |
| 2104 | |
| 2105 | WrapperType prepareUnpackDictionaries(const DataTypePtr & from_type, const DataTypePtr & to_type) const |
| 2106 | { |
| 2107 | const auto * from_low_cardinality = typeid_cast<const DataTypeLowCardinality *>(from_type.get()); |
| 2108 | const auto * to_low_cardinality = typeid_cast<const DataTypeLowCardinality *>(to_type.get()); |
| 2109 | const auto & from_nested = from_low_cardinality ? from_low_cardinality->getDictionaryType() : from_type; |
| 2110 | const auto & to_nested = to_low_cardinality ? to_low_cardinality->getDictionaryType() : to_type; |
| 2111 | |
| 2112 | if (from_type->onlyNull()) |
| 2113 | { |
| 2114 | if (!to_nested->isNullable()) |
| 2115 | throw Exception{"Cannot convert NULL to a non-nullable type" , ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 2116 | |
| 2117 | return [](Block & block, const ColumnNumbers &, const size_t result, size_t input_rows_count) |
| 2118 | { |
| 2119 | auto & res = block.getByPosition(result); |
| 2120 | res.column = res.type->createColumnConstWithDefaultValue(input_rows_count)->convertToFullColumnIfConst(); |
| 2121 | }; |
| 2122 | } |
| 2123 | |
| 2124 | bool skip_not_null_check = false; |
| 2125 | |
| 2126 | if (from_low_cardinality && from_nested->isNullable() && !to_nested->isNullable()) |
| 2127 | /// Disable check for dictionary. Will check that column doesn't contain NULL in wrapper below. |
| 2128 | skip_not_null_check = true; |
| 2129 | |
| 2130 | auto wrapper = prepareRemoveNullable(from_nested, to_nested, skip_not_null_check); |
| 2131 | if (!from_low_cardinality && !to_low_cardinality) |
| 2132 | return wrapper; |
| 2133 | |
| 2134 | return [wrapper, from_low_cardinality, to_low_cardinality, skip_not_null_check] |
| 2135 | (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 2136 | { |
| 2137 | auto & arg = block.getByPosition(arguments[0]); |
| 2138 | auto & res = block.getByPosition(result); |
| 2139 | |
| 2140 | ColumnPtr res_indexes; |
| 2141 | /// For some types default can't be casted (for example, String to Int). In that case convert column to full. |
| 2142 | bool src_converted_to_full_column = false; |
| 2143 | |
| 2144 | { |
| 2145 | /// Replace argument and result columns (and types) to dictionary key columns (and types). |
| 2146 | /// Call nested wrapper in order to cast dictionary keys. Then restore block. |
| 2147 | auto prev_arg_col = arg.column; |
| 2148 | auto prev_arg_type = arg.type; |
| 2149 | auto prev_res_type = res.type; |
| 2150 | |
| 2151 | auto tmp_rows_count = input_rows_count; |
| 2152 | |
| 2153 | if (to_low_cardinality) |
| 2154 | res.type = to_low_cardinality->getDictionaryType(); |
| 2155 | |
| 2156 | if (from_low_cardinality) |
| 2157 | { |
| 2158 | auto * col_low_cardinality = typeid_cast<const ColumnLowCardinality *>(prev_arg_col.get()); |
| 2159 | |
| 2160 | if (skip_not_null_check && col_low_cardinality->containsNull()) |
| 2161 | throw Exception{"Cannot convert NULL value to non-Nullable type" , |
| 2162 | ErrorCodes::CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN}; |
| 2163 | |
| 2164 | arg.column = col_low_cardinality->getDictionary().getNestedColumn(); |
| 2165 | arg.type = from_low_cardinality->getDictionaryType(); |
| 2166 | |
| 2167 | /// TODO: Make map with defaults conversion. |
| 2168 | src_converted_to_full_column = !removeNullable(arg.type)->equals(*removeNullable(res.type)); |
| 2169 | if (src_converted_to_full_column) |
| 2170 | arg.column = arg.column->index(col_low_cardinality->getIndexes(), 0); |
| 2171 | else |
| 2172 | res_indexes = col_low_cardinality->getIndexesPtr(); |
| 2173 | |
| 2174 | tmp_rows_count = arg.column->size(); |
| 2175 | } |
| 2176 | |
| 2177 | /// Perform the requested conversion. |
| 2178 | wrapper(block, arguments, result, tmp_rows_count); |
| 2179 | |
| 2180 | arg.column = prev_arg_col; |
| 2181 | arg.type = prev_arg_type; |
| 2182 | res.type = prev_res_type; |
| 2183 | } |
| 2184 | |
| 2185 | if (to_low_cardinality) |
| 2186 | { |
| 2187 | auto res_column = to_low_cardinality->createColumn(); |
| 2188 | auto * col_low_cardinality = typeid_cast<ColumnLowCardinality *>(res_column.get()); |
| 2189 | |
| 2190 | if (from_low_cardinality && !src_converted_to_full_column) |
| 2191 | { |
| 2192 | auto res_keys = std::move(res.column); |
| 2193 | col_low_cardinality->insertRangeFromDictionaryEncodedColumn(*res_keys, *res_indexes); |
| 2194 | } |
| 2195 | else |
| 2196 | col_low_cardinality->insertRangeFromFullColumn(*res.column, 0, res.column->size()); |
| 2197 | |
| 2198 | res.column = std::move(res_column); |
| 2199 | } |
| 2200 | else if (!src_converted_to_full_column) |
| 2201 | res.column = res.column->index(*res_indexes, 0); |
| 2202 | }; |
| 2203 | } |
| 2204 | |
| 2205 | WrapperType prepareRemoveNullable(const DataTypePtr & from_type, const DataTypePtr & to_type, bool skip_not_null_check) const |
| 2206 | { |
| 2207 | /// Determine whether pre-processing and/or post-processing must take place during conversion. |
| 2208 | |
| 2209 | bool source_is_nullable = from_type->isNullable(); |
| 2210 | bool result_is_nullable = to_type->isNullable(); |
| 2211 | |
| 2212 | auto wrapper = prepareImpl(removeNullable(from_type), removeNullable(to_type), result_is_nullable); |
| 2213 | |
| 2214 | if (result_is_nullable) |
| 2215 | { |
| 2216 | return [wrapper, source_is_nullable] |
| 2217 | (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 2218 | { |
| 2219 | /// Create a temporary block on which to perform the operation. |
| 2220 | auto & res = block.getByPosition(result); |
| 2221 | const auto & ret_type = res.type; |
| 2222 | const auto & nullable_type = static_cast<const DataTypeNullable &>(*ret_type); |
| 2223 | const auto & nested_type = nullable_type.getNestedType(); |
| 2224 | |
| 2225 | Block tmp_block; |
| 2226 | if (source_is_nullable) |
| 2227 | tmp_block = createBlockWithNestedColumns(block, arguments); |
| 2228 | else |
| 2229 | tmp_block = block; |
| 2230 | |
| 2231 | size_t tmp_res_index = block.columns(); |
| 2232 | tmp_block.insert({nullptr, nested_type, "" }); |
| 2233 | |
| 2234 | /// Perform the requested conversion. |
| 2235 | wrapper(tmp_block, arguments, tmp_res_index, input_rows_count); |
| 2236 | |
| 2237 | const auto & tmp_res = tmp_block.getByPosition(tmp_res_index); |
| 2238 | |
| 2239 | /// May happen in fuzzy tests. For debug purpose. |
| 2240 | if (!tmp_res.column) |
| 2241 | throw Exception("Couldn't convert " + block.getByPosition(arguments[0]).type->getName() + " to " |
| 2242 | + nested_type->getName() + " in " + " prepareRemoveNullable wrapper." , ErrorCodes::LOGICAL_ERROR); |
| 2243 | |
| 2244 | res.column = wrapInNullable(tmp_res.column, Block({block.getByPosition(arguments[0]), tmp_res}), {0}, 1, input_rows_count); |
| 2245 | }; |
| 2246 | } |
| 2247 | else if (source_is_nullable) |
| 2248 | { |
| 2249 | /// Conversion from Nullable to non-Nullable. |
| 2250 | |
| 2251 | return [wrapper, skip_not_null_check] (Block & block, const ColumnNumbers & arguments, const size_t result, size_t input_rows_count) |
| 2252 | { |
| 2253 | Block tmp_block = createBlockWithNestedColumns(block, arguments, result); |
| 2254 | |
| 2255 | /// Check that all values are not-NULL. |
| 2256 | /// Check can be skipped in case if LowCardinality dictionary is transformed. |
| 2257 | /// In that case, correctness will be checked beforehand. |
| 2258 | if (!skip_not_null_check) |
| 2259 | { |
| 2260 | const auto & col = block.getByPosition(arguments[0]).column; |
| 2261 | const auto & nullable_col = assert_cast<const ColumnNullable &>(*col); |
| 2262 | const auto & null_map = nullable_col.getNullMapData(); |
| 2263 | |
| 2264 | if (!memoryIsZero(null_map.data(), null_map.size())) |
| 2265 | throw Exception{"Cannot convert NULL value to non-Nullable type" , |
| 2266 | ErrorCodes::CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN}; |
| 2267 | } |
| 2268 | |
| 2269 | wrapper(tmp_block, arguments, result, input_rows_count); |
| 2270 | block.getByPosition(result).column = tmp_block.getByPosition(result).column; |
| 2271 | }; |
| 2272 | } |
| 2273 | else |
| 2274 | return wrapper; |
| 2275 | } |
| 2276 | |
| 2277 | /// 'from_type' and 'to_type' are nested types in case of Nullable. |
| 2278 | /// 'requested_result_is_nullable' is true if CAST to Nullable type is requested. |
| 2279 | WrapperType prepareImpl(const DataTypePtr & from_type, const DataTypePtr & to_type, bool requested_result_is_nullable) const |
| 2280 | { |
| 2281 | if (from_type->equals(*to_type)) |
| 2282 | return createIdentityWrapper(from_type); |
| 2283 | else if (WhichDataType(from_type).isNothing()) |
| 2284 | return createNothingWrapper(to_type.get()); |
| 2285 | |
| 2286 | WrapperType ret; |
| 2287 | |
| 2288 | auto make_default_wrapper = [&](const auto & types) -> bool |
| 2289 | { |
| 2290 | using Types = std::decay_t<decltype(types)>; |
| 2291 | using ToDataType = typename Types::LeftType; |
| 2292 | |
| 2293 | if constexpr ( |
| 2294 | std::is_same_v<ToDataType, DataTypeUInt8> || |
| 2295 | std::is_same_v<ToDataType, DataTypeUInt16> || |
| 2296 | std::is_same_v<ToDataType, DataTypeUInt32> || |
| 2297 | std::is_same_v<ToDataType, DataTypeUInt64> || |
| 2298 | std::is_same_v<ToDataType, DataTypeInt8> || |
| 2299 | std::is_same_v<ToDataType, DataTypeInt16> || |
| 2300 | std::is_same_v<ToDataType, DataTypeInt32> || |
| 2301 | std::is_same_v<ToDataType, DataTypeInt64> || |
| 2302 | std::is_same_v<ToDataType, DataTypeFloat32> || |
| 2303 | std::is_same_v<ToDataType, DataTypeFloat64> || |
| 2304 | std::is_same_v<ToDataType, DataTypeDate> || |
| 2305 | std::is_same_v<ToDataType, DataTypeDateTime>) |
| 2306 | { |
| 2307 | ret = createWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable); |
| 2308 | return true; |
| 2309 | } |
| 2310 | if constexpr ( |
| 2311 | std::is_same_v<ToDataType, DataTypeEnum8> || |
| 2312 | std::is_same_v<ToDataType, DataTypeEnum16>) |
| 2313 | { |
| 2314 | ret = createEnumWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get())); |
| 2315 | return true; |
| 2316 | } |
| 2317 | if constexpr ( |
| 2318 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal32>> || |
| 2319 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal64>> || |
| 2320 | std::is_same_v<ToDataType, DataTypeDecimal<Decimal128>> || |
| 2321 | std::is_same_v<ToDataType, DataTypeDateTime64>) |
| 2322 | { |
| 2323 | ret = createDecimalWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get())); |
| 2324 | return true; |
| 2325 | } |
| 2326 | if constexpr (std::is_same_v<ToDataType, DataTypeUUID>) |
| 2327 | { |
| 2328 | if (isStringOrFixedString(from_type)) |
| 2329 | { |
| 2330 | ret = createUUIDWrapper(from_type, checkAndGetDataType<ToDataType>(to_type.get()), requested_result_is_nullable); |
| 2331 | return true; |
| 2332 | } |
| 2333 | } |
| 2334 | |
| 2335 | return false; |
| 2336 | }; |
| 2337 | |
| 2338 | if (callOnIndexAndDataType<void>(to_type->getTypeId(), make_default_wrapper)) |
| 2339 | return ret; |
| 2340 | |
| 2341 | switch (to_type->getTypeId()) |
| 2342 | { |
| 2343 | case TypeIndex::String: |
| 2344 | return createStringWrapper(from_type); |
| 2345 | case TypeIndex::FixedString: |
| 2346 | return createFixedStringWrapper(from_type, checkAndGetDataType<DataTypeFixedString>(to_type.get())->getN()); |
| 2347 | |
| 2348 | case TypeIndex::Array: |
| 2349 | return createArrayWrapper(from_type, checkAndGetDataType<DataTypeArray>(to_type.get())); |
| 2350 | case TypeIndex::Tuple: |
| 2351 | return createTupleWrapper(from_type, checkAndGetDataType<DataTypeTuple>(to_type.get())); |
| 2352 | |
| 2353 | case TypeIndex::AggregateFunction: |
| 2354 | return createAggregateFunctionWrapper(from_type, checkAndGetDataType<DataTypeAggregateFunction>(to_type.get())); |
| 2355 | default: |
| 2356 | break; |
| 2357 | } |
| 2358 | |
| 2359 | throw Exception{"Conversion from " + from_type->getName() + " to " + to_type->getName() + " is not supported" , |
| 2360 | ErrorCodes::CANNOT_CONVERT_TYPE}; |
| 2361 | } |
| 2362 | }; |
| 2363 | |
| 2364 | class CastOverloadResolver : public IFunctionOverloadResolverImpl |
| 2365 | { |
| 2366 | public: |
| 2367 | using MonotonicityForRange = FunctionCast::MonotonicityForRange; |
| 2368 | |
| 2369 | static constexpr auto name = "CAST" ; |
| 2370 | static FunctionOverloadResolverImplPtr create(const Context &) { return createImpl(); } |
| 2371 | static FunctionOverloadResolverImplPtr createImpl() { return std::make_unique<CastOverloadResolver>(); } |
| 2372 | |
| 2373 | CastOverloadResolver() {} |
| 2374 | |
| 2375 | String getName() const override { return name; } |
| 2376 | |
| 2377 | size_t getNumberOfArguments() const override { return 2; } |
| 2378 | |
| 2379 | ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } |
| 2380 | |
| 2381 | protected: |
| 2382 | |
| 2383 | FunctionBaseImplPtr build(const ColumnsWithTypeAndName & arguments, const DataTypePtr & return_type) const override |
| 2384 | { |
| 2385 | DataTypes data_types(arguments.size()); |
| 2386 | |
| 2387 | for (size_t i = 0; i < arguments.size(); ++i) |
| 2388 | data_types[i] = arguments[i].type; |
| 2389 | |
| 2390 | auto monotonicity = getMonotonicityInformation(arguments.front().type, return_type.get()); |
| 2391 | return std::make_unique<FunctionCast>(name, std::move(monotonicity), data_types, return_type); |
| 2392 | } |
| 2393 | |
| 2394 | DataTypePtr getReturnType(const ColumnsWithTypeAndName & arguments) const override |
| 2395 | { |
| 2396 | const auto type_col = checkAndGetColumnConst<ColumnString>(arguments.back().column.get()); |
| 2397 | if (!type_col) |
| 2398 | throw Exception("Second argument to " + getName() + " must be a constant string describing type" , |
| 2399 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 2400 | |
| 2401 | return DataTypeFactory::instance().get(type_col->getValue<String>()); |
| 2402 | } |
| 2403 | |
| 2404 | bool useDefaultImplementationForNulls() const override { return false; } |
| 2405 | bool useDefaultImplementationForLowCardinalityColumns() const override { return false; } |
| 2406 | |
| 2407 | private: |
| 2408 | template <typename DataType> |
| 2409 | static auto monotonicityForType(const DataType * const) |
| 2410 | { |
| 2411 | return FunctionTo<DataType>::Type::Monotonic::get; |
| 2412 | } |
| 2413 | |
| 2414 | MonotonicityForRange getMonotonicityInformation(const DataTypePtr & from_type, const IDataType * to_type) const |
| 2415 | { |
| 2416 | if (const auto type = checkAndGetDataType<DataTypeUInt8>(to_type)) |
| 2417 | return monotonicityForType(type); |
| 2418 | if (const auto type = checkAndGetDataType<DataTypeUInt16>(to_type)) |
| 2419 | return monotonicityForType(type); |
| 2420 | if (const auto type = checkAndGetDataType<DataTypeUInt32>(to_type)) |
| 2421 | return monotonicityForType(type); |
| 2422 | if (const auto type = checkAndGetDataType<DataTypeUInt64>(to_type)) |
| 2423 | return monotonicityForType(type); |
| 2424 | if (const auto type = checkAndGetDataType<DataTypeInt8>(to_type)) |
| 2425 | return monotonicityForType(type); |
| 2426 | if (const auto type = checkAndGetDataType<DataTypeInt16>(to_type)) |
| 2427 | return monotonicityForType(type); |
| 2428 | if (const auto type = checkAndGetDataType<DataTypeInt32>(to_type)) |
| 2429 | return monotonicityForType(type); |
| 2430 | if (const auto type = checkAndGetDataType<DataTypeInt64>(to_type)) |
| 2431 | return monotonicityForType(type); |
| 2432 | if (const auto type = checkAndGetDataType<DataTypeFloat32>(to_type)) |
| 2433 | return monotonicityForType(type); |
| 2434 | if (const auto type = checkAndGetDataType<DataTypeFloat64>(to_type)) |
| 2435 | return monotonicityForType(type); |
| 2436 | if (const auto type = checkAndGetDataType<DataTypeDate>(to_type)) |
| 2437 | return monotonicityForType(type); |
| 2438 | if (const auto type = checkAndGetDataType<DataTypeDateTime>(to_type)) |
| 2439 | return monotonicityForType(type); |
| 2440 | if (const auto type = checkAndGetDataType<DataTypeString>(to_type)) |
| 2441 | return monotonicityForType(type); |
| 2442 | if (isEnum(from_type)) |
| 2443 | { |
| 2444 | if (const auto type = checkAndGetDataType<DataTypeEnum8>(to_type)) |
| 2445 | return monotonicityForType(type); |
| 2446 | if (const auto type = checkAndGetDataType<DataTypeEnum16>(to_type)) |
| 2447 | return monotonicityForType(type); |
| 2448 | } |
| 2449 | /// other types like Null, FixedString, Array and Tuple have no monotonicity defined |
| 2450 | return {}; |
| 2451 | } |
| 2452 | }; |
| 2453 | |
| 2454 | } |
| 2455 | |