sqlglot.optimizer.annotate_types
1from __future__ import annotations 2 3import functools 4import typing as t 5 6from sqlglot import exp 7from sqlglot.helper import ( 8 ensure_list, 9 is_date_unit, 10 is_iso_date, 11 is_iso_datetime, 12 seq_get, 13 subclasses, 14) 15from sqlglot.optimizer.scope import Scope, traverse_scope 16from sqlglot.schema import Schema, ensure_schema 17 18if t.TYPE_CHECKING: 19 from sqlglot._typing import B, E 20 21 BinaryCoercionFunc = t.Callable[[exp.Expression, exp.Expression], exp.DataType.Type] 22 BinaryCoercions = t.Dict[ 23 t.Tuple[exp.DataType.Type, exp.DataType.Type], 24 BinaryCoercionFunc, 25 ] 26 27 28def annotate_types( 29 expression: E, 30 schema: t.Optional[t.Dict | Schema] = None, 31 annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None, 32 coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None, 33) -> E: 34 """ 35 Infers the types of an expression, annotating its AST accordingly. 36 37 Example: 38 >>> import sqlglot 39 >>> schema = {"y": {"cola": "SMALLINT"}} 40 >>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x" 41 >>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema) 42 >>> annotated_expr.expressions[0].type.this # Get the type of "x.cola + 2.5 AS cola" 43 <Type.DOUBLE: 'DOUBLE'> 44 45 Args: 46 expression: Expression to annotate. 47 schema: Database schema. 48 annotators: Maps expression type to corresponding annotation function. 49 coerces_to: Maps expression type to set of types that it can be coerced into. 50 51 Returns: 52 The expression annotated with types. 53 """ 54 55 schema = ensure_schema(schema) 56 57 return TypeAnnotator(schema, annotators, coerces_to).annotate(expression) 58 59 60def _annotate_with_type_lambda(data_type: exp.DataType.Type) -> t.Callable[[TypeAnnotator, E], E]: 61 return lambda self, e: self._annotate_with_type(e, data_type) 62 63 64def _coerce_date_literal(l: exp.Expression, unit: t.Optional[exp.Expression]) -> exp.DataType.Type: 65 date_text = l.name 66 is_iso_date_ = is_iso_date(date_text) 67 68 if is_iso_date_ and is_date_unit(unit): 69 return exp.DataType.Type.DATE 70 71 # An ISO date is also an ISO datetime, but not vice versa 72 if is_iso_date_ or is_iso_datetime(date_text): 73 return exp.DataType.Type.DATETIME 74 75 return exp.DataType.Type.UNKNOWN 76 77 78def _coerce_date(l: exp.Expression, unit: t.Optional[exp.Expression]) -> exp.DataType.Type: 79 if not is_date_unit(unit): 80 return exp.DataType.Type.DATETIME 81 return l.type.this if l.type else exp.DataType.Type.UNKNOWN 82 83 84def swap_args(func: BinaryCoercionFunc) -> BinaryCoercionFunc: 85 @functools.wraps(func) 86 def _swapped(l: exp.Expression, r: exp.Expression) -> exp.DataType.Type: 87 return func(r, l) 88 89 return _swapped 90 91 92def swap_all(coercions: BinaryCoercions) -> BinaryCoercions: 93 return {**coercions, **{(b, a): swap_args(func) for (a, b), func in coercions.items()}} 94 95 96class _TypeAnnotator(type): 97 def __new__(cls, clsname, bases, attrs): 98 klass = super().__new__(cls, clsname, bases, attrs) 99 100 # Highest-to-lowest type precedence, as specified in Spark's docs (ANSI): 101 # https://spark.apache.org/docs/3.2.0/sql-ref-ansi-compliance.html 102 text_precedence = ( 103 exp.DataType.Type.TEXT, 104 exp.DataType.Type.NVARCHAR, 105 exp.DataType.Type.VARCHAR, 106 exp.DataType.Type.NCHAR, 107 exp.DataType.Type.CHAR, 108 ) 109 numeric_precedence = ( 110 exp.DataType.Type.DOUBLE, 111 exp.DataType.Type.FLOAT, 112 exp.DataType.Type.DECIMAL, 113 exp.DataType.Type.BIGINT, 114 exp.DataType.Type.INT, 115 exp.DataType.Type.SMALLINT, 116 exp.DataType.Type.TINYINT, 117 ) 118 timelike_precedence = ( 119 exp.DataType.Type.TIMESTAMPLTZ, 120 exp.DataType.Type.TIMESTAMPTZ, 121 exp.DataType.Type.TIMESTAMP, 122 exp.DataType.Type.DATETIME, 123 exp.DataType.Type.DATE, 124 ) 125 126 for type_precedence in (text_precedence, numeric_precedence, timelike_precedence): 127 coerces_to = set() 128 for data_type in type_precedence: 129 klass.COERCES_TO[data_type] = coerces_to.copy() 130 coerces_to |= {data_type} 131 132 return klass 133 134 135class TypeAnnotator(metaclass=_TypeAnnotator): 136 TYPE_TO_EXPRESSIONS: t.Dict[exp.DataType.Type, t.Set[t.Type[exp.Expression]]] = { 137 exp.DataType.Type.BIGINT: { 138 exp.ApproxDistinct, 139 exp.ArraySize, 140 exp.Count, 141 exp.Length, 142 }, 143 exp.DataType.Type.BOOLEAN: { 144 exp.Between, 145 exp.Boolean, 146 exp.In, 147 exp.RegexpLike, 148 }, 149 exp.DataType.Type.DATE: { 150 exp.CurrentDate, 151 exp.Date, 152 exp.DateFromParts, 153 exp.DateStrToDate, 154 exp.DiToDate, 155 exp.StrToDate, 156 exp.TimeStrToDate, 157 exp.TsOrDsToDate, 158 }, 159 exp.DataType.Type.DATETIME: { 160 exp.CurrentDatetime, 161 exp.DatetimeAdd, 162 exp.DatetimeSub, 163 }, 164 exp.DataType.Type.DOUBLE: { 165 exp.ApproxQuantile, 166 exp.Avg, 167 exp.Div, 168 exp.Exp, 169 exp.Ln, 170 exp.Log, 171 exp.Log2, 172 exp.Log10, 173 exp.Pow, 174 exp.Quantile, 175 exp.Round, 176 exp.SafeDivide, 177 exp.Sqrt, 178 exp.Stddev, 179 exp.StddevPop, 180 exp.StddevSamp, 181 exp.Variance, 182 exp.VariancePop, 183 }, 184 exp.DataType.Type.INT: { 185 exp.Ceil, 186 exp.DatetimeDiff, 187 exp.DateDiff, 188 exp.Extract, 189 exp.TimestampDiff, 190 exp.TimeDiff, 191 exp.DateToDi, 192 exp.Floor, 193 exp.Levenshtein, 194 exp.StrPosition, 195 exp.TsOrDiToDi, 196 }, 197 exp.DataType.Type.JSON: { 198 exp.ParseJSON, 199 }, 200 exp.DataType.Type.TIMESTAMP: { 201 exp.CurrentTime, 202 exp.CurrentTimestamp, 203 exp.StrToTime, 204 exp.TimeAdd, 205 exp.TimeStrToTime, 206 exp.TimeSub, 207 exp.Timestamp, 208 exp.TimestampAdd, 209 exp.TimestampSub, 210 exp.UnixToTime, 211 }, 212 exp.DataType.Type.TINYINT: { 213 exp.Day, 214 exp.Month, 215 exp.Week, 216 exp.Year, 217 }, 218 exp.DataType.Type.VARCHAR: { 219 exp.ArrayConcat, 220 exp.Concat, 221 exp.ConcatWs, 222 exp.DateToDateStr, 223 exp.GroupConcat, 224 exp.Initcap, 225 exp.Lower, 226 exp.Substring, 227 exp.TimeToStr, 228 exp.TimeToTimeStr, 229 exp.Trim, 230 exp.TsOrDsToDateStr, 231 exp.UnixToStr, 232 exp.UnixToTimeStr, 233 exp.Upper, 234 }, 235 } 236 237 ANNOTATORS: t.Dict = { 238 **{ 239 expr_type: lambda self, e: self._annotate_unary(e) 240 for expr_type in subclasses(exp.__name__, (exp.Unary, exp.Alias)) 241 }, 242 **{ 243 expr_type: lambda self, e: self._annotate_binary(e) 244 for expr_type in subclasses(exp.__name__, exp.Binary) 245 }, 246 **{ 247 expr_type: _annotate_with_type_lambda(data_type) 248 for data_type, expressions in TYPE_TO_EXPRESSIONS.items() 249 for expr_type in expressions 250 }, 251 exp.Abs: lambda self, e: self._annotate_by_args(e, "this"), 252 exp.Anonymous: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN), 253 exp.Array: lambda self, e: self._annotate_by_args(e, "expressions", array=True), 254 exp.ArrayAgg: lambda self, e: self._annotate_by_args(e, "this", array=True), 255 exp.ArrayConcat: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 256 exp.Bracket: lambda self, e: self._annotate_bracket(e), 257 exp.Cast: lambda self, e: self._annotate_with_type(e, e.args["to"]), 258 exp.Case: lambda self, e: self._annotate_by_args(e, "default", "ifs"), 259 exp.Coalesce: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 260 exp.DataType: lambda self, e: self._annotate_with_type(e, e.copy()), 261 exp.DateAdd: lambda self, e: self._annotate_timeunit(e), 262 exp.DateSub: lambda self, e: self._annotate_timeunit(e), 263 exp.DateTrunc: lambda self, e: self._annotate_timeunit(e), 264 exp.Distinct: lambda self, e: self._annotate_by_args(e, "expressions"), 265 exp.Div: lambda self, e: self._annotate_div(e), 266 exp.Filter: lambda self, e: self._annotate_by_args(e, "this"), 267 exp.If: lambda self, e: self._annotate_by_args(e, "true", "false"), 268 exp.Interval: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.INTERVAL), 269 exp.Least: lambda self, e: self._annotate_by_args(e, "expressions"), 270 exp.Literal: lambda self, e: self._annotate_literal(e), 271 exp.Map: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP), 272 exp.Max: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 273 exp.Min: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 274 exp.Null: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.NULL), 275 exp.Nullif: lambda self, e: self._annotate_by_args(e, "this", "expression"), 276 exp.Slice: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN), 277 exp.Sum: lambda self, e: self._annotate_by_args(e, "this", "expressions", promote=True), 278 exp.TryCast: lambda self, e: self._annotate_with_type(e, e.args["to"]), 279 exp.VarMap: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP), 280 exp.Struct: lambda self, e: self._annotate_by_args(e, "expressions", struct=True), 281 } 282 283 NESTED_TYPES = { 284 exp.DataType.Type.ARRAY, 285 } 286 287 # Specifies what types a given type can be coerced into (autofilled) 288 COERCES_TO: t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]] = {} 289 290 # Coercion functions for binary operations. 291 # Map of type pairs to a callable that takes both sides of the binary operation and returns the resulting type. 292 BINARY_COERCIONS: BinaryCoercions = { 293 **swap_all( 294 { 295 (t, exp.DataType.Type.INTERVAL): lambda l, r: _coerce_date_literal( 296 l, r.args.get("unit") 297 ) 298 for t in exp.DataType.TEXT_TYPES 299 } 300 ), 301 **swap_all( 302 { 303 # text + numeric will yield the numeric type to match most dialects' semantics 304 (text, numeric): lambda l, r: t.cast( 305 exp.DataType.Type, l.type if l.type in exp.DataType.NUMERIC_TYPES else r.type 306 ) 307 for text in exp.DataType.TEXT_TYPES 308 for numeric in exp.DataType.NUMERIC_TYPES 309 } 310 ), 311 **swap_all( 312 { 313 (exp.DataType.Type.DATE, exp.DataType.Type.INTERVAL): lambda l, r: _coerce_date( 314 l, r.args.get("unit") 315 ), 316 } 317 ), 318 } 319 320 def __init__( 321 self, 322 schema: Schema, 323 annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None, 324 coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None, 325 binary_coercions: t.Optional[BinaryCoercions] = None, 326 ) -> None: 327 self.schema = schema 328 self.annotators = annotators or self.ANNOTATORS 329 self.coerces_to = coerces_to or self.COERCES_TO 330 self.binary_coercions = binary_coercions or self.BINARY_COERCIONS 331 332 # Caches the ids of annotated sub-Expressions, to ensure we only visit them once 333 self._visited: t.Set[int] = set() 334 335 def _set_type( 336 self, expression: exp.Expression, target_type: exp.DataType | exp.DataType.Type 337 ) -> None: 338 expression.type = target_type # type: ignore 339 self._visited.add(id(expression)) 340 341 def annotate(self, expression: E) -> E: 342 for scope in traverse_scope(expression): 343 selects = {} 344 for name, source in scope.sources.items(): 345 if not isinstance(source, Scope): 346 continue 347 if isinstance(source.expression, exp.UDTF): 348 values = [] 349 350 if isinstance(source.expression, exp.Lateral): 351 if isinstance(source.expression.this, exp.Explode): 352 values = [source.expression.this.this] 353 else: 354 values = source.expression.expressions[0].expressions 355 356 if not values: 357 continue 358 359 selects[name] = { 360 alias: column 361 for alias, column in zip( 362 source.expression.alias_column_names, 363 values, 364 ) 365 } 366 else: 367 selects[name] = { 368 select.alias_or_name: select for select in source.expression.selects 369 } 370 371 # First annotate the current scope's column references 372 for col in scope.columns: 373 if not col.table: 374 continue 375 376 source = scope.sources.get(col.table) 377 if isinstance(source, exp.Table): 378 self._set_type(col, self.schema.get_column_type(source, col)) 379 elif source and col.table in selects and col.name in selects[col.table]: 380 self._set_type(col, selects[col.table][col.name].type) 381 382 # Then (possibly) annotate the remaining expressions in the scope 383 self._maybe_annotate(scope.expression) 384 385 return self._maybe_annotate(expression) # This takes care of non-traversable expressions 386 387 def _maybe_annotate(self, expression: E) -> E: 388 if id(expression) in self._visited: 389 return expression # We've already inferred the expression's type 390 391 annotator = self.annotators.get(expression.__class__) 392 393 return ( 394 annotator(self, expression) 395 if annotator 396 else self._annotate_with_type(expression, exp.DataType.Type.UNKNOWN) 397 ) 398 399 def _annotate_args(self, expression: E) -> E: 400 for _, value in expression.iter_expressions(): 401 self._maybe_annotate(value) 402 403 return expression 404 405 def _maybe_coerce( 406 self, type1: exp.DataType | exp.DataType.Type, type2: exp.DataType | exp.DataType.Type 407 ) -> exp.DataType | exp.DataType.Type: 408 type1_value = type1.this if isinstance(type1, exp.DataType) else type1 409 type2_value = type2.this if isinstance(type2, exp.DataType) else type2 410 411 # We propagate the NULL / UNKNOWN types upwards if found 412 if exp.DataType.Type.NULL in (type1_value, type2_value): 413 return exp.DataType.Type.NULL 414 if exp.DataType.Type.UNKNOWN in (type1_value, type2_value): 415 return exp.DataType.Type.UNKNOWN 416 417 if type1_value in self.NESTED_TYPES: 418 return type1 419 if type2_value in self.NESTED_TYPES: 420 return type2 421 422 return type2_value if type2_value in self.coerces_to.get(type1_value, {}) else type1_value # type: ignore 423 424 # Note: the following "no_type_check" decorators were added because mypy was yelling due 425 # to assigning Type values to expression.type (since its getter returns Optional[DataType]). 426 # This is a known mypy issue: https://github.com/python/mypy/issues/3004 427 428 @t.no_type_check 429 def _annotate_binary(self, expression: B) -> B: 430 self._annotate_args(expression) 431 432 left, right = expression.left, expression.right 433 left_type, right_type = left.type.this, right.type.this 434 435 if isinstance(expression, exp.Connector): 436 if left_type == exp.DataType.Type.NULL and right_type == exp.DataType.Type.NULL: 437 self._set_type(expression, exp.DataType.Type.NULL) 438 elif exp.DataType.Type.NULL in (left_type, right_type): 439 self._set_type( 440 expression, 441 exp.DataType.build("NULLABLE", expressions=exp.DataType.build("BOOLEAN")), 442 ) 443 else: 444 self._set_type(expression, exp.DataType.Type.BOOLEAN) 445 elif isinstance(expression, exp.Predicate): 446 self._set_type(expression, exp.DataType.Type.BOOLEAN) 447 elif (left_type, right_type) in self.binary_coercions: 448 self._set_type(expression, self.binary_coercions[(left_type, right_type)](left, right)) 449 else: 450 self._set_type(expression, self._maybe_coerce(left_type, right_type)) 451 452 return expression 453 454 @t.no_type_check 455 def _annotate_unary(self, expression: E) -> E: 456 self._annotate_args(expression) 457 458 if isinstance(expression, exp.Condition) and not isinstance(expression, exp.Paren): 459 self._set_type(expression, exp.DataType.Type.BOOLEAN) 460 else: 461 self._set_type(expression, expression.this.type) 462 463 return expression 464 465 @t.no_type_check 466 def _annotate_literal(self, expression: exp.Literal) -> exp.Literal: 467 if expression.is_string: 468 self._set_type(expression, exp.DataType.Type.VARCHAR) 469 elif expression.is_int: 470 self._set_type(expression, exp.DataType.Type.INT) 471 else: 472 self._set_type(expression, exp.DataType.Type.DOUBLE) 473 474 return expression 475 476 @t.no_type_check 477 def _annotate_with_type(self, expression: E, target_type: exp.DataType.Type) -> E: 478 self._set_type(expression, target_type) 479 return self._annotate_args(expression) 480 481 @t.no_type_check 482 def _annotate_struct_value( 483 self, expression: exp.Expression 484 ) -> t.Optional[exp.DataType] | exp.ColumnDef: 485 alias = expression.args.get("alias") 486 if alias: 487 return exp.ColumnDef(this=alias.copy(), kind=expression.type) 488 489 # Case: key = value or key := value 490 if expression.expression: 491 return exp.ColumnDef(this=expression.this.copy(), kind=expression.expression.type) 492 493 return expression.type 494 495 @t.no_type_check 496 def _annotate_by_args( 497 self, 498 expression: E, 499 *args: str, 500 promote: bool = False, 501 array: bool = False, 502 struct: bool = False, 503 ) -> E: 504 self._annotate_args(expression) 505 506 expressions: t.List[exp.Expression] = [] 507 for arg in args: 508 arg_expr = expression.args.get(arg) 509 expressions.extend(expr for expr in ensure_list(arg_expr) if expr) 510 511 last_datatype = None 512 for expr in expressions: 513 last_datatype = self._maybe_coerce(last_datatype or expr.type, expr.type) 514 515 self._set_type(expression, last_datatype or exp.DataType.Type.UNKNOWN) 516 517 if promote: 518 if expression.type.this in exp.DataType.INTEGER_TYPES: 519 self._set_type(expression, exp.DataType.Type.BIGINT) 520 elif expression.type.this in exp.DataType.FLOAT_TYPES: 521 self._set_type(expression, exp.DataType.Type.DOUBLE) 522 523 if array: 524 self._set_type( 525 expression, 526 exp.DataType( 527 this=exp.DataType.Type.ARRAY, expressions=[expression.type], nested=True 528 ), 529 ) 530 531 if struct: 532 self._set_type( 533 expression, 534 exp.DataType( 535 this=exp.DataType.Type.STRUCT, 536 expressions=[self._annotate_struct_value(expr) for expr in expressions], 537 nested=True, 538 ), 539 ) 540 541 return expression 542 543 def _annotate_timeunit( 544 self, expression: exp.TimeUnit | exp.DateTrunc 545 ) -> exp.TimeUnit | exp.DateTrunc: 546 self._annotate_args(expression) 547 548 if expression.this.type.this in exp.DataType.TEXT_TYPES: 549 datatype = _coerce_date_literal(expression.this, expression.unit) 550 elif expression.this.type.this in exp.DataType.TEMPORAL_TYPES: 551 datatype = _coerce_date(expression.this, expression.unit) 552 else: 553 datatype = exp.DataType.Type.UNKNOWN 554 555 self._set_type(expression, datatype) 556 return expression 557 558 def _annotate_bracket(self, expression: exp.Bracket) -> exp.Bracket: 559 self._annotate_args(expression) 560 561 bracket_arg = expression.expressions[0] 562 this = expression.this 563 564 if isinstance(bracket_arg, exp.Slice): 565 self._set_type(expression, this.type) 566 elif this.type.is_type(exp.DataType.Type.ARRAY): 567 contained_type = seq_get(this.type.expressions, 0) or exp.DataType.Type.UNKNOWN 568 self._set_type(expression, contained_type) 569 elif isinstance(this, (exp.Map, exp.VarMap)) and bracket_arg in this.keys: 570 index = this.keys.index(bracket_arg) 571 value = seq_get(this.values, index) 572 value_type = value.type if value else exp.DataType.Type.UNKNOWN 573 self._set_type(expression, value_type or exp.DataType.Type.UNKNOWN) 574 else: 575 self._set_type(expression, exp.DataType.Type.UNKNOWN) 576 577 return expression 578 579 def _annotate_div(self, expression: exp.Div) -> exp.Div: 580 self._annotate_args(expression) 581 582 left_type, right_type = expression.left.type.this, expression.right.type.this # type: ignore 583 584 if ( 585 expression.args.get("typed") 586 and left_type in exp.DataType.INTEGER_TYPES 587 and right_type in exp.DataType.INTEGER_TYPES 588 ): 589 self._set_type(expression, exp.DataType.Type.BIGINT) 590 else: 591 self._set_type(expression, self._maybe_coerce(left_type, right_type)) 592 593 return expression
def
annotate_types( expression: ~E, schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None, annotators: Optional[Dict[Type[~E], Callable[[TypeAnnotator, ~E], ~E]]] = None, coerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None) -> ~E:
29def annotate_types( 30 expression: E, 31 schema: t.Optional[t.Dict | Schema] = None, 32 annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None, 33 coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None, 34) -> E: 35 """ 36 Infers the types of an expression, annotating its AST accordingly. 37 38 Example: 39 >>> import sqlglot 40 >>> schema = {"y": {"cola": "SMALLINT"}} 41 >>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x" 42 >>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema) 43 >>> annotated_expr.expressions[0].type.this # Get the type of "x.cola + 2.5 AS cola" 44 <Type.DOUBLE: 'DOUBLE'> 45 46 Args: 47 expression: Expression to annotate. 48 schema: Database schema. 49 annotators: Maps expression type to corresponding annotation function. 50 coerces_to: Maps expression type to set of types that it can be coerced into. 51 52 Returns: 53 The expression annotated with types. 54 """ 55 56 schema = ensure_schema(schema) 57 58 return TypeAnnotator(schema, annotators, coerces_to).annotate(expression)
Infers the types of an expression, annotating its AST accordingly.
Example:
>>> import sqlglot >>> schema = {"y": {"cola": "SMALLINT"}} >>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x" >>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema) >>> annotated_expr.expressions[0].type.this # Get the type of "x.cola + 2.5 AS cola" <Type.DOUBLE: 'DOUBLE'>
Arguments:
- expression: Expression to annotate.
- schema: Database schema.
- annotators: Maps expression type to corresponding annotation function.
- coerces_to: Maps expression type to set of types that it can be coerced into.
Returns:
The expression annotated with types.
def
swap_args( func: Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]) -> Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]:
def
swap_all( coercions: Dict[Tuple[sqlglot.expressions.DataType.Type, sqlglot.expressions.DataType.Type], Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]]) -> Dict[Tuple[sqlglot.expressions.DataType.Type, sqlglot.expressions.DataType.Type], Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]]:
class
TypeAnnotator:
136class TypeAnnotator(metaclass=_TypeAnnotator): 137 TYPE_TO_EXPRESSIONS: t.Dict[exp.DataType.Type, t.Set[t.Type[exp.Expression]]] = { 138 exp.DataType.Type.BIGINT: { 139 exp.ApproxDistinct, 140 exp.ArraySize, 141 exp.Count, 142 exp.Length, 143 }, 144 exp.DataType.Type.BOOLEAN: { 145 exp.Between, 146 exp.Boolean, 147 exp.In, 148 exp.RegexpLike, 149 }, 150 exp.DataType.Type.DATE: { 151 exp.CurrentDate, 152 exp.Date, 153 exp.DateFromParts, 154 exp.DateStrToDate, 155 exp.DiToDate, 156 exp.StrToDate, 157 exp.TimeStrToDate, 158 exp.TsOrDsToDate, 159 }, 160 exp.DataType.Type.DATETIME: { 161 exp.CurrentDatetime, 162 exp.DatetimeAdd, 163 exp.DatetimeSub, 164 }, 165 exp.DataType.Type.DOUBLE: { 166 exp.ApproxQuantile, 167 exp.Avg, 168 exp.Div, 169 exp.Exp, 170 exp.Ln, 171 exp.Log, 172 exp.Log2, 173 exp.Log10, 174 exp.Pow, 175 exp.Quantile, 176 exp.Round, 177 exp.SafeDivide, 178 exp.Sqrt, 179 exp.Stddev, 180 exp.StddevPop, 181 exp.StddevSamp, 182 exp.Variance, 183 exp.VariancePop, 184 }, 185 exp.DataType.Type.INT: { 186 exp.Ceil, 187 exp.DatetimeDiff, 188 exp.DateDiff, 189 exp.Extract, 190 exp.TimestampDiff, 191 exp.TimeDiff, 192 exp.DateToDi, 193 exp.Floor, 194 exp.Levenshtein, 195 exp.StrPosition, 196 exp.TsOrDiToDi, 197 }, 198 exp.DataType.Type.JSON: { 199 exp.ParseJSON, 200 }, 201 exp.DataType.Type.TIMESTAMP: { 202 exp.CurrentTime, 203 exp.CurrentTimestamp, 204 exp.StrToTime, 205 exp.TimeAdd, 206 exp.TimeStrToTime, 207 exp.TimeSub, 208 exp.Timestamp, 209 exp.TimestampAdd, 210 exp.TimestampSub, 211 exp.UnixToTime, 212 }, 213 exp.DataType.Type.TINYINT: { 214 exp.Day, 215 exp.Month, 216 exp.Week, 217 exp.Year, 218 }, 219 exp.DataType.Type.VARCHAR: { 220 exp.ArrayConcat, 221 exp.Concat, 222 exp.ConcatWs, 223 exp.DateToDateStr, 224 exp.GroupConcat, 225 exp.Initcap, 226 exp.Lower, 227 exp.Substring, 228 exp.TimeToStr, 229 exp.TimeToTimeStr, 230 exp.Trim, 231 exp.TsOrDsToDateStr, 232 exp.UnixToStr, 233 exp.UnixToTimeStr, 234 exp.Upper, 235 }, 236 } 237 238 ANNOTATORS: t.Dict = { 239 **{ 240 expr_type: lambda self, e: self._annotate_unary(e) 241 for expr_type in subclasses(exp.__name__, (exp.Unary, exp.Alias)) 242 }, 243 **{ 244 expr_type: lambda self, e: self._annotate_binary(e) 245 for expr_type in subclasses(exp.__name__, exp.Binary) 246 }, 247 **{ 248 expr_type: _annotate_with_type_lambda(data_type) 249 for data_type, expressions in TYPE_TO_EXPRESSIONS.items() 250 for expr_type in expressions 251 }, 252 exp.Abs: lambda self, e: self._annotate_by_args(e, "this"), 253 exp.Anonymous: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN), 254 exp.Array: lambda self, e: self._annotate_by_args(e, "expressions", array=True), 255 exp.ArrayAgg: lambda self, e: self._annotate_by_args(e, "this", array=True), 256 exp.ArrayConcat: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 257 exp.Bracket: lambda self, e: self._annotate_bracket(e), 258 exp.Cast: lambda self, e: self._annotate_with_type(e, e.args["to"]), 259 exp.Case: lambda self, e: self._annotate_by_args(e, "default", "ifs"), 260 exp.Coalesce: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 261 exp.DataType: lambda self, e: self._annotate_with_type(e, e.copy()), 262 exp.DateAdd: lambda self, e: self._annotate_timeunit(e), 263 exp.DateSub: lambda self, e: self._annotate_timeunit(e), 264 exp.DateTrunc: lambda self, e: self._annotate_timeunit(e), 265 exp.Distinct: lambda self, e: self._annotate_by_args(e, "expressions"), 266 exp.Div: lambda self, e: self._annotate_div(e), 267 exp.Filter: lambda self, e: self._annotate_by_args(e, "this"), 268 exp.If: lambda self, e: self._annotate_by_args(e, "true", "false"), 269 exp.Interval: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.INTERVAL), 270 exp.Least: lambda self, e: self._annotate_by_args(e, "expressions"), 271 exp.Literal: lambda self, e: self._annotate_literal(e), 272 exp.Map: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP), 273 exp.Max: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 274 exp.Min: lambda self, e: self._annotate_by_args(e, "this", "expressions"), 275 exp.Null: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.NULL), 276 exp.Nullif: lambda self, e: self._annotate_by_args(e, "this", "expression"), 277 exp.Slice: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN), 278 exp.Sum: lambda self, e: self._annotate_by_args(e, "this", "expressions", promote=True), 279 exp.TryCast: lambda self, e: self._annotate_with_type(e, e.args["to"]), 280 exp.VarMap: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP), 281 exp.Struct: lambda self, e: self._annotate_by_args(e, "expressions", struct=True), 282 } 283 284 NESTED_TYPES = { 285 exp.DataType.Type.ARRAY, 286 } 287 288 # Specifies what types a given type can be coerced into (autofilled) 289 COERCES_TO: t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]] = {} 290 291 # Coercion functions for binary operations. 292 # Map of type pairs to a callable that takes both sides of the binary operation and returns the resulting type. 293 BINARY_COERCIONS: BinaryCoercions = { 294 **swap_all( 295 { 296 (t, exp.DataType.Type.INTERVAL): lambda l, r: _coerce_date_literal( 297 l, r.args.get("unit") 298 ) 299 for t in exp.DataType.TEXT_TYPES 300 } 301 ), 302 **swap_all( 303 { 304 # text + numeric will yield the numeric type to match most dialects' semantics 305 (text, numeric): lambda l, r: t.cast( 306 exp.DataType.Type, l.type if l.type in exp.DataType.NUMERIC_TYPES else r.type 307 ) 308 for text in exp.DataType.TEXT_TYPES 309 for numeric in exp.DataType.NUMERIC_TYPES 310 } 311 ), 312 **swap_all( 313 { 314 (exp.DataType.Type.DATE, exp.DataType.Type.INTERVAL): lambda l, r: _coerce_date( 315 l, r.args.get("unit") 316 ), 317 } 318 ), 319 } 320 321 def __init__( 322 self, 323 schema: Schema, 324 annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None, 325 coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None, 326 binary_coercions: t.Optional[BinaryCoercions] = None, 327 ) -> None: 328 self.schema = schema 329 self.annotators = annotators or self.ANNOTATORS 330 self.coerces_to = coerces_to or self.COERCES_TO 331 self.binary_coercions = binary_coercions or self.BINARY_COERCIONS 332 333 # Caches the ids of annotated sub-Expressions, to ensure we only visit them once 334 self._visited: t.Set[int] = set() 335 336 def _set_type( 337 self, expression: exp.Expression, target_type: exp.DataType | exp.DataType.Type 338 ) -> None: 339 expression.type = target_type # type: ignore 340 self._visited.add(id(expression)) 341 342 def annotate(self, expression: E) -> E: 343 for scope in traverse_scope(expression): 344 selects = {} 345 for name, source in scope.sources.items(): 346 if not isinstance(source, Scope): 347 continue 348 if isinstance(source.expression, exp.UDTF): 349 values = [] 350 351 if isinstance(source.expression, exp.Lateral): 352 if isinstance(source.expression.this, exp.Explode): 353 values = [source.expression.this.this] 354 else: 355 values = source.expression.expressions[0].expressions 356 357 if not values: 358 continue 359 360 selects[name] = { 361 alias: column 362 for alias, column in zip( 363 source.expression.alias_column_names, 364 values, 365 ) 366 } 367 else: 368 selects[name] = { 369 select.alias_or_name: select for select in source.expression.selects 370 } 371 372 # First annotate the current scope's column references 373 for col in scope.columns: 374 if not col.table: 375 continue 376 377 source = scope.sources.get(col.table) 378 if isinstance(source, exp.Table): 379 self._set_type(col, self.schema.get_column_type(source, col)) 380 elif source and col.table in selects and col.name in selects[col.table]: 381 self._set_type(col, selects[col.table][col.name].type) 382 383 # Then (possibly) annotate the remaining expressions in the scope 384 self._maybe_annotate(scope.expression) 385 386 return self._maybe_annotate(expression) # This takes care of non-traversable expressions 387 388 def _maybe_annotate(self, expression: E) -> E: 389 if id(expression) in self._visited: 390 return expression # We've already inferred the expression's type 391 392 annotator = self.annotators.get(expression.__class__) 393 394 return ( 395 annotator(self, expression) 396 if annotator 397 else self._annotate_with_type(expression, exp.DataType.Type.UNKNOWN) 398 ) 399 400 def _annotate_args(self, expression: E) -> E: 401 for _, value in expression.iter_expressions(): 402 self._maybe_annotate(value) 403 404 return expression 405 406 def _maybe_coerce( 407 self, type1: exp.DataType | exp.DataType.Type, type2: exp.DataType | exp.DataType.Type 408 ) -> exp.DataType | exp.DataType.Type: 409 type1_value = type1.this if isinstance(type1, exp.DataType) else type1 410 type2_value = type2.this if isinstance(type2, exp.DataType) else type2 411 412 # We propagate the NULL / UNKNOWN types upwards if found 413 if exp.DataType.Type.NULL in (type1_value, type2_value): 414 return exp.DataType.Type.NULL 415 if exp.DataType.Type.UNKNOWN in (type1_value, type2_value): 416 return exp.DataType.Type.UNKNOWN 417 418 if type1_value in self.NESTED_TYPES: 419 return type1 420 if type2_value in self.NESTED_TYPES: 421 return type2 422 423 return type2_value if type2_value in self.coerces_to.get(type1_value, {}) else type1_value # type: ignore 424 425 # Note: the following "no_type_check" decorators were added because mypy was yelling due 426 # to assigning Type values to expression.type (since its getter returns Optional[DataType]). 427 # This is a known mypy issue: https://github.com/python/mypy/issues/3004 428 429 @t.no_type_check 430 def _annotate_binary(self, expression: B) -> B: 431 self._annotate_args(expression) 432 433 left, right = expression.left, expression.right 434 left_type, right_type = left.type.this, right.type.this 435 436 if isinstance(expression, exp.Connector): 437 if left_type == exp.DataType.Type.NULL and right_type == exp.DataType.Type.NULL: 438 self._set_type(expression, exp.DataType.Type.NULL) 439 elif exp.DataType.Type.NULL in (left_type, right_type): 440 self._set_type( 441 expression, 442 exp.DataType.build("NULLABLE", expressions=exp.DataType.build("BOOLEAN")), 443 ) 444 else: 445 self._set_type(expression, exp.DataType.Type.BOOLEAN) 446 elif isinstance(expression, exp.Predicate): 447 self._set_type(expression, exp.DataType.Type.BOOLEAN) 448 elif (left_type, right_type) in self.binary_coercions: 449 self._set_type(expression, self.binary_coercions[(left_type, right_type)](left, right)) 450 else: 451 self._set_type(expression, self._maybe_coerce(left_type, right_type)) 452 453 return expression 454 455 @t.no_type_check 456 def _annotate_unary(self, expression: E) -> E: 457 self._annotate_args(expression) 458 459 if isinstance(expression, exp.Condition) and not isinstance(expression, exp.Paren): 460 self._set_type(expression, exp.DataType.Type.BOOLEAN) 461 else: 462 self._set_type(expression, expression.this.type) 463 464 return expression 465 466 @t.no_type_check 467 def _annotate_literal(self, expression: exp.Literal) -> exp.Literal: 468 if expression.is_string: 469 self._set_type(expression, exp.DataType.Type.VARCHAR) 470 elif expression.is_int: 471 self._set_type(expression, exp.DataType.Type.INT) 472 else: 473 self._set_type(expression, exp.DataType.Type.DOUBLE) 474 475 return expression 476 477 @t.no_type_check 478 def _annotate_with_type(self, expression: E, target_type: exp.DataType.Type) -> E: 479 self._set_type(expression, target_type) 480 return self._annotate_args(expression) 481 482 @t.no_type_check 483 def _annotate_struct_value( 484 self, expression: exp.Expression 485 ) -> t.Optional[exp.DataType] | exp.ColumnDef: 486 alias = expression.args.get("alias") 487 if alias: 488 return exp.ColumnDef(this=alias.copy(), kind=expression.type) 489 490 # Case: key = value or key := value 491 if expression.expression: 492 return exp.ColumnDef(this=expression.this.copy(), kind=expression.expression.type) 493 494 return expression.type 495 496 @t.no_type_check 497 def _annotate_by_args( 498 self, 499 expression: E, 500 *args: str, 501 promote: bool = False, 502 array: bool = False, 503 struct: bool = False, 504 ) -> E: 505 self._annotate_args(expression) 506 507 expressions: t.List[exp.Expression] = [] 508 for arg in args: 509 arg_expr = expression.args.get(arg) 510 expressions.extend(expr for expr in ensure_list(arg_expr) if expr) 511 512 last_datatype = None 513 for expr in expressions: 514 last_datatype = self._maybe_coerce(last_datatype or expr.type, expr.type) 515 516 self._set_type(expression, last_datatype or exp.DataType.Type.UNKNOWN) 517 518 if promote: 519 if expression.type.this in exp.DataType.INTEGER_TYPES: 520 self._set_type(expression, exp.DataType.Type.BIGINT) 521 elif expression.type.this in exp.DataType.FLOAT_TYPES: 522 self._set_type(expression, exp.DataType.Type.DOUBLE) 523 524 if array: 525 self._set_type( 526 expression, 527 exp.DataType( 528 this=exp.DataType.Type.ARRAY, expressions=[expression.type], nested=True 529 ), 530 ) 531 532 if struct: 533 self._set_type( 534 expression, 535 exp.DataType( 536 this=exp.DataType.Type.STRUCT, 537 expressions=[self._annotate_struct_value(expr) for expr in expressions], 538 nested=True, 539 ), 540 ) 541 542 return expression 543 544 def _annotate_timeunit( 545 self, expression: exp.TimeUnit | exp.DateTrunc 546 ) -> exp.TimeUnit | exp.DateTrunc: 547 self._annotate_args(expression) 548 549 if expression.this.type.this in exp.DataType.TEXT_TYPES: 550 datatype = _coerce_date_literal(expression.this, expression.unit) 551 elif expression.this.type.this in exp.DataType.TEMPORAL_TYPES: 552 datatype = _coerce_date(expression.this, expression.unit) 553 else: 554 datatype = exp.DataType.Type.UNKNOWN 555 556 self._set_type(expression, datatype) 557 return expression 558 559 def _annotate_bracket(self, expression: exp.Bracket) -> exp.Bracket: 560 self._annotate_args(expression) 561 562 bracket_arg = expression.expressions[0] 563 this = expression.this 564 565 if isinstance(bracket_arg, exp.Slice): 566 self._set_type(expression, this.type) 567 elif this.type.is_type(exp.DataType.Type.ARRAY): 568 contained_type = seq_get(this.type.expressions, 0) or exp.DataType.Type.UNKNOWN 569 self._set_type(expression, contained_type) 570 elif isinstance(this, (exp.Map, exp.VarMap)) and bracket_arg in this.keys: 571 index = this.keys.index(bracket_arg) 572 value = seq_get(this.values, index) 573 value_type = value.type if value else exp.DataType.Type.UNKNOWN 574 self._set_type(expression, value_type or exp.DataType.Type.UNKNOWN) 575 else: 576 self._set_type(expression, exp.DataType.Type.UNKNOWN) 577 578 return expression 579 580 def _annotate_div(self, expression: exp.Div) -> exp.Div: 581 self._annotate_args(expression) 582 583 left_type, right_type = expression.left.type.this, expression.right.type.this # type: ignore 584 585 if ( 586 expression.args.get("typed") 587 and left_type in exp.DataType.INTEGER_TYPES 588 and right_type in exp.DataType.INTEGER_TYPES 589 ): 590 self._set_type(expression, exp.DataType.Type.BIGINT) 591 else: 592 self._set_type(expression, self._maybe_coerce(left_type, right_type)) 593 594 return expression
TypeAnnotator( schema: sqlglot.schema.Schema, annotators: Optional[Dict[Type[~E], Callable[[TypeAnnotator, ~E], ~E]]] = None, coerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None, binary_coercions: Optional[Dict[Tuple[sqlglot.expressions.DataType.Type, sqlglot.expressions.DataType.Type], Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]]] = None)
321 def __init__( 322 self, 323 schema: Schema, 324 annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None, 325 coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None, 326 binary_coercions: t.Optional[BinaryCoercions] = None, 327 ) -> None: 328 self.schema = schema 329 self.annotators = annotators or self.ANNOTATORS 330 self.coerces_to = coerces_to or self.COERCES_TO 331 self.binary_coercions = binary_coercions or self.BINARY_COERCIONS 332 333 # Caches the ids of annotated sub-Expressions, to ensure we only visit them once 334 self._visited: t.Set[int] = set()
TYPE_TO_EXPRESSIONS: Dict[sqlglot.expressions.DataType.Type, Set[Type[sqlglot.expressions.Expression]]] =
{<Type.BIGINT: 'BIGINT'>: {<class 'sqlglot.expressions.Length'>, <class 'sqlglot.expressions.Count'>, <class 'sqlglot.expressions.ArraySize'>, <class 'sqlglot.expressions.ApproxDistinct'>}, <Type.BOOLEAN: 'BOOLEAN'>: {<class 'sqlglot.expressions.In'>, <class 'sqlglot.expressions.RegexpLike'>, <class 'sqlglot.expressions.Between'>, <class 'sqlglot.expressions.Boolean'>}, <Type.DATE: 'DATE'>: {<class 'sqlglot.expressions.TsOrDsToDate'>, <class 'sqlglot.expressions.DiToDate'>, <class 'sqlglot.expressions.DateFromParts'>, <class 'sqlglot.expressions.CurrentDate'>, <class 'sqlglot.expressions.Date'>, <class 'sqlglot.expressions.TimeStrToDate'>, <class 'sqlglot.expressions.StrToDate'>, <class 'sqlglot.expressions.DateStrToDate'>}, <Type.DATETIME: 'DATETIME'>: {<class 'sqlglot.expressions.DatetimeAdd'>, <class 'sqlglot.expressions.DatetimeSub'>, <class 'sqlglot.expressions.CurrentDatetime'>}, <Type.DOUBLE: 'DOUBLE'>: {<class 'sqlglot.expressions.Variance'>, <class 'sqlglot.expressions.Log2'>, <class 'sqlglot.expressions.Round'>, <class 'sqlglot.expressions.StddevSamp'>, <class 'sqlglot.expressions.Log'>, <class 'sqlglot.expressions.StddevPop'>, <class 'sqlglot.expressions.Ln'>, <class 'sqlglot.expressions.Stddev'>, <class 'sqlglot.expressions.Sqrt'>, <class 'sqlglot.expressions.Div'>, <class 'sqlglot.expressions.Pow'>, <class 'sqlglot.expressions.ApproxQuantile'>, <class 'sqlglot.expressions.Avg'>, <class 'sqlglot.expressions.VariancePop'>, <class 'sqlglot.expressions.Quantile'>, <class 'sqlglot.expressions.Exp'>, <class 'sqlglot.expressions.SafeDivide'>, <class 'sqlglot.expressions.Log10'>}, <Type.INT: 'INT'>: {<class 'sqlglot.expressions.Floor'>, <class 'sqlglot.expressions.Ceil'>, <class 'sqlglot.expressions.Extract'>, <class 'sqlglot.expressions.TimeDiff'>, <class 'sqlglot.expressions.Levenshtein'>, <class 'sqlglot.expressions.DateDiff'>, <class 'sqlglot.expressions.TsOrDiToDi'>, <class 'sqlglot.expressions.DateToDi'>, <class 'sqlglot.expressions.TimestampDiff'>, <class 'sqlglot.expressions.StrPosition'>, <class 'sqlglot.expressions.DatetimeDiff'>}, <Type.JSON: 'JSON'>: {<class 'sqlglot.expressions.ParseJSON'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<class 'sqlglot.expressions.TimestampAdd'>, <class 'sqlglot.expressions.CurrentTime'>, <class 'sqlglot.expressions.UnixToTime'>, <class 'sqlglot.expressions.Timestamp'>, <class 'sqlglot.expressions.TimeSub'>, <class 'sqlglot.expressions.TimeStrToTime'>, <class 'sqlglot.expressions.TimeAdd'>, <class 'sqlglot.expressions.StrToTime'>, <class 'sqlglot.expressions.TimestampSub'>, <class 'sqlglot.expressions.CurrentTimestamp'>}, <Type.TINYINT: 'TINYINT'>: {<class 'sqlglot.expressions.Year'>, <class 'sqlglot.expressions.Month'>, <class 'sqlglot.expressions.Day'>, <class 'sqlglot.expressions.Week'>}, <Type.VARCHAR: 'VARCHAR'>: {<class 'sqlglot.expressions.TimeToStr'>, <class 'sqlglot.expressions.Initcap'>, <class 'sqlglot.expressions.UnixToStr'>, <class 'sqlglot.expressions.UnixToTimeStr'>, <class 'sqlglot.expressions.Substring'>, <class 'sqlglot.expressions.Trim'>, <class 'sqlglot.expressions.ConcatWs'>, <class 'sqlglot.expressions.Lower'>, <class 'sqlglot.expressions.TsOrDsToDateStr'>, <class 'sqlglot.expressions.GroupConcat'>, <class 'sqlglot.expressions.DateToDateStr'>, <class 'sqlglot.expressions.ArrayConcat'>, <class 'sqlglot.expressions.Concat'>, <class 'sqlglot.expressions.TimeToTimeStr'>, <class 'sqlglot.expressions.Upper'>}}
ANNOTATORS: Dict =
{<class 'sqlglot.expressions.Alias'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseNot'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Neg'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Not'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Paren'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.PivotAlias'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Unary'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Add'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.And'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayContained'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayContains'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayOverlaps'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Binary'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseAnd'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseLeftShift'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseOr'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseRightShift'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseXor'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Collate'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Connector'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DPipe'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Distance'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Div'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Dot'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.EQ'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Escape'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GT'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GTE'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Glob'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ILike'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ILikeAny'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.IntDiv'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Is'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONArrayContains'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBContains'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBExtract'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBExtractScalar'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Kwarg'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LT'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LTE'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Like'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LikeAny'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Mod'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Mul'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NEQ'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NullSafeEQ'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NullSafeNEQ'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Operator'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Or'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Overlaps'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Pow'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.PropertyEQ'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RegexpILike'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RegexpLike'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SimilarTo'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Slice'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Sub'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Xor'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Length'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Count'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArraySize'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.In'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Between'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Boolean'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DiToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Date'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDatetime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log2'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxQuantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Avg'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log10'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Extract'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDiToDi'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDi'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ParseJSON'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Timestamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Year'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Month'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Day'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Week'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Initcap'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Substring'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ConcatWs'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Lower'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDateStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDateStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Concat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToTimeStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Upper'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Abs'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Anonymous'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Array'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.ArrayAgg'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Bracket'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Cast'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Case'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Coalesce'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.DataType'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.DateAdd'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.DateSub'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.DateTrunc'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Distinct'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Filter'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.If'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Interval'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Least'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Literal'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Map'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Max'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Min'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Null'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Nullif'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Sum'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.TryCast'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.Struct'>: <function TypeAnnotator.<lambda>>}
COERCES_TO: Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]] =
{<Type.TEXT: 'TEXT'>: set(), <Type.NVARCHAR: 'NVARCHAR'>: {<Type.TEXT: 'TEXT'>}, <Type.VARCHAR: 'VARCHAR'>: {<Type.NVARCHAR: 'NVARCHAR'>, <Type.TEXT: 'TEXT'>}, <Type.NCHAR: 'NCHAR'>: {<Type.NVARCHAR: 'NVARCHAR'>, <Type.VARCHAR: 'VARCHAR'>, <Type.TEXT: 'TEXT'>}, <Type.CHAR: 'CHAR'>: {<Type.NVARCHAR: 'NVARCHAR'>, <Type.VARCHAR: 'VARCHAR'>, <Type.TEXT: 'TEXT'>, <Type.NCHAR: 'NCHAR'>}, <Type.DOUBLE: 'DOUBLE'>: set(), <Type.FLOAT: 'FLOAT'>: {<Type.DOUBLE: 'DOUBLE'>}, <Type.DECIMAL: 'DECIMAL'>: {<Type.FLOAT: 'FLOAT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.BIGINT: 'BIGINT'>: {<Type.FLOAT: 'FLOAT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.INT: 'INT'>: {<Type.FLOAT: 'FLOAT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.SMALLINT: 'SMALLINT'>: {<Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>, <Type.FLOAT: 'FLOAT'>, <Type.INT: 'INT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.TINYINT: 'TINYINT'>: {<Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>, <Type.FLOAT: 'FLOAT'>, <Type.INT: 'INT'>, <Type.SMALLINT: 'SMALLINT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: set(), <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}, <Type.DATETIME: 'DATETIME'>: {<Type.TIMESTAMP: 'TIMESTAMP'>, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}, <Type.DATE: 'DATE'>: {<Type.TIMESTAMP: 'TIMESTAMP'>, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.DATETIME: 'DATETIME'>}}
BINARY_COERCIONS: Dict[Tuple[sqlglot.expressions.DataType.Type, sqlglot.expressions.DataType.Type], Callable[[sqlglot.expressions.Expression, sqlglot.expressions.Expression], sqlglot.expressions.DataType.Type]] =
{(<Type.CHAR: 'CHAR'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DATE: 'DATE'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.DATE: 'DATE'>): <function TypeAnnotator.<lambda>>}
def
annotate(self, expression: ~E) -> ~E:
342 def annotate(self, expression: E) -> E: 343 for scope in traverse_scope(expression): 344 selects = {} 345 for name, source in scope.sources.items(): 346 if not isinstance(source, Scope): 347 continue 348 if isinstance(source.expression, exp.UDTF): 349 values = [] 350 351 if isinstance(source.expression, exp.Lateral): 352 if isinstance(source.expression.this, exp.Explode): 353 values = [source.expression.this.this] 354 else: 355 values = source.expression.expressions[0].expressions 356 357 if not values: 358 continue 359 360 selects[name] = { 361 alias: column 362 for alias, column in zip( 363 source.expression.alias_column_names, 364 values, 365 ) 366 } 367 else: 368 selects[name] = { 369 select.alias_or_name: select for select in source.expression.selects 370 } 371 372 # First annotate the current scope's column references 373 for col in scope.columns: 374 if not col.table: 375 continue 376 377 source = scope.sources.get(col.table) 378 if isinstance(source, exp.Table): 379 self._set_type(col, self.schema.get_column_type(source, col)) 380 elif source and col.table in selects and col.name in selects[col.table]: 381 self._set_type(col, selects[col.table][col.name].type) 382 383 # Then (possibly) annotate the remaining expressions in the scope 384 self._maybe_annotate(scope.expression) 385 386 return self._maybe_annotate(expression) # This takes care of non-traversable expressions