# sqlglot.optimizer.annotate_types API documentation

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# sqlglot.optimizer.annotate_types

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      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: View Source

    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 ]: View Source

    85def swap_args(func: BinaryCoercionFunc) -> BinaryCoercionFunc:
    86    @functools.wraps(func)
    87    def _swapped(l: exp.Expression, r: exp.Expression) -> exp.DataType.Type:
    88        return func(r, l)
    89
    90    return _swapped

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 ]]: View Source

    93def swap_all(coercions: BinaryCoercions) -> BinaryCoercions:
    94    return {**coercions, **{(b, a): swap_args(func) for (a, b), func in coercions.items()}}

class TypeAnnotator: View Source

    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) View Source

    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.ArraySize'>, <class 'sqlglot.expressions.ApproxDistinct'>, <class 'sqlglot.expressions.Count'>}, <Type.BOOLEAN: 'BOOLEAN'>: {<class 'sqlglot.expressions.In'>, <class 'sqlglot.expressions.Boolean'>, <class 'sqlglot.expressions.Between'>, <class 'sqlglot.expressions.RegexpLike'>}, <Type.DATE: 'DATE'>: {<class 'sqlglot.expressions.DiToDate'>, <class 'sqlglot.expressions.DateFromParts'>, <class 'sqlglot.expressions.CurrentDate'>, <class 'sqlglot.expressions.Date'>, <class 'sqlglot.expressions.StrToDate'>, <class 'sqlglot.expressions.TimeStrToDate'>, <class 'sqlglot.expressions.TsOrDsToDate'>, <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.Log2'>, <class 'sqlglot.expressions.Log'>, <class 'sqlglot.expressions.StddevSamp'>, <class 'sqlglot.expressions.Ln'>, <class 'sqlglot.expressions.StddevPop'>, <class 'sqlglot.expressions.Avg'>, <class 'sqlglot.expressions.Div'>, <class 'sqlglot.expressions.ApproxQuantile'>, <class 'sqlglot.expressions.Stddev'>, <class 'sqlglot.expressions.Round'>, <class 'sqlglot.expressions.Pow'>, <class 'sqlglot.expressions.Quantile'>, <class 'sqlglot.expressions.Sqrt'>, <class 'sqlglot.expressions.SafeDivide'>, <class 'sqlglot.expressions.VariancePop'>, <class 'sqlglot.expressions.Exp'>, <class 'sqlglot.expressions.Variance'>, <class 'sqlglot.expressions.Log10'>}, <Type.INT: 'INT'>: {<class 'sqlglot.expressions.Floor'>, <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.StrPosition'>, <class 'sqlglot.expressions.TimestampDiff'>, <class 'sqlglot.expressions.Ceil'>, <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.Timestamp'>, <class 'sqlglot.expressions.UnixToTime'>, <class 'sqlglot.expressions.StrToTime'>, <class 'sqlglot.expressions.TimeSub'>, <class 'sqlglot.expressions.TimeStrToTime'>, <class 'sqlglot.expressions.TimeAdd'>, <class 'sqlglot.expressions.TimestampSub'>, <class 'sqlglot.expressions.CurrentTimestamp'>}, <Type.TINYINT: 'TINYINT'>: {<class 'sqlglot.expressions.Month'>, <class 'sqlglot.expressions.Day'>, <class 'sqlglot.expressions.Week'>, <class 'sqlglot.expressions.Year'>}, <Type.VARCHAR: 'VARCHAR'>: {<class 'sqlglot.expressions.Substring'>, <class 'sqlglot.expressions.TimeToStr'>, <class 'sqlglot.expressions.UnixToStr'>, <class 'sqlglot.expressions.UnixToTimeStr'>, <class 'sqlglot.expressions.Initcap'>, <class 'sqlglot.expressions.Trim'>, <class 'sqlglot.expressions.ConcatWs'>, <class 'sqlglot.expressions.Lower'>, <class 'sqlglot.expressions.Concat'>, <class 'sqlglot.expressions.ArrayConcat'>, <class 'sqlglot.expressions.GroupConcat'>, <class 'sqlglot.expressions.DateToDateStr'>, <class 'sqlglot.expressions.TsOrDsToDateStr'>, <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.ArraySize'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Count'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.In'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Boolean'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Between'>: <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.StrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDate'>: <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.Log2'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Avg'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxQuantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <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.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.StrPosition'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <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.Timestamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToTime'>: <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.TimestampSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <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.Year'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Substring'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <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.Initcap'>: <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.Concat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function TypeAnnotator.<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.TsOrDsToDateStr'>: <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>>}
NESTED_TYPES = {<Type.ARRAY: 'ARRAY'>}
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.TEXT: 'TEXT'>, <Type.NVARCHAR: 'NVARCHAR'>}, <Type.NCHAR: 'NCHAR'>: {<Type.VARCHAR: 'VARCHAR'>, <Type.TEXT: 'TEXT'>, <Type.NVARCHAR: 'NVARCHAR'>}, <Type.CHAR: 'CHAR'>: {<Type.VARCHAR: 'VARCHAR'>, <Type.TEXT: 'TEXT'>, <Type.NVARCHAR: 'NVARCHAR'>, <Type.NCHAR: 'NCHAR'>}, <Type.DOUBLE: 'DOUBLE'>: set(), <Type.FLOAT: 'FLOAT'>: {<Type.DOUBLE: 'DOUBLE'>}, <Type.DECIMAL: 'DECIMAL'>: {<Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>}, <Type.BIGINT: 'BIGINT'>: {<Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>, <Type.DECIMAL: 'DECIMAL'>}, <Type.INT: 'INT'>: {<Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>}, <Type.SMALLINT: 'SMALLINT'>: {<Type.INT: 'INT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>, <Type.BIGINT: 'BIGINT'>}, <Type.TINYINT: 'TINYINT'>: {<Type.INT: 'INT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>, <Type.SMALLINT: 'SMALLINT'>, <Type.BIGINT: 'BIGINT'>}, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: set(), <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}, <Type.DATETIME: 'DATETIME'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}, <Type.DATE: 'DATE'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.DATETIME: 'DATETIME'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}}
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.NVARCHAR: 'NVARCHAR'>, <Type.INTERVAL: 'INTERVAL'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <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.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INTERVAL: 'INTERVAL'>, <Type.NCHAR: 'NCHAR'>): <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.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.CHAR: 'CHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NVARCHAR: 'NVARCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.NCHAR: 'NCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.VARCHAR: 'VARCHAR'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.FLOAT: 'FLOAT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.BIT: 'BIT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT: 'INT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.TINYINT: 'TINYINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT128: 'INT128'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.SMALLINT: 'SMALLINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.DOUBLE: 'DOUBLE'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.INT256: 'INT256'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TEXT: 'TEXT'>, <Type.BIGINT: 'BIGINT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.CHAR: 'CHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.NVARCHAR: 'NVARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.NCHAR: 'NCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <Type.VARCHAR: 'VARCHAR'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.FLOAT: 'FLOAT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIT: 'BIT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT: 'INT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.TINYINT: 'TINYINT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT128: 'INT128'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.SMALLINT: 'SMALLINT'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.DOUBLE: 'DOUBLE'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.INT256: 'INT256'>, <Type.TEXT: 'TEXT'>): <function TypeAnnotator.<dictcomp>.<lambda>>, (<Type.BIGINT: 'BIGINT'>, <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>>}
schema
annotators
coerces_to
binary_coercions
def annotate(self, expression: ~E) -> ~E: View Source

    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