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# sqlglot.optimizer.annotate_types

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      1from __future__ import annotations
      2
      3import typing as t
      4
      5from sqlglot import exp
      6from sqlglot._typing import E
      7from sqlglot.helper import ensure_list, subclasses
      8from sqlglot.optimizer.scope import Scope, traverse_scope
      9from sqlglot.schema import Schema, ensure_schema
     10
     11if t.TYPE_CHECKING:
     12    B = t.TypeVar("B", bound=exp.Binary)
     13
     14
     15def annotate_types(
     16    expression: E,
     17    schema: t.Optional[t.Dict | Schema] = None,
     18    annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None,
     19    coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None,
     20) -> E:
     21    """
     22    Infers the types of an expression, annotating its AST accordingly.
     23
     24    Example:
     25        >>> import sqlglot
     26        >>> schema = {"y": {"cola": "SMALLINT"}}
     27        >>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"
     28        >>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)
     29        >>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"
     30        <Type.DOUBLE: 'DOUBLE'>
     31
     32    Args:
     33        expression: Expression to annotate.
     34        schema: Database schema.
     35        annotators: Maps expression type to corresponding annotation function.
     36        coerces_to: Maps expression type to set of types that it can be coerced into.
     37
     38    Returns:
     39        The expression annotated with types.
     40    """
     41
     42    schema = ensure_schema(schema)
     43
     44    return TypeAnnotator(schema, annotators, coerces_to).annotate(expression)
     45
     46
     47def _annotate_with_type_lambda(data_type: exp.DataType.Type) -> t.Callable[[TypeAnnotator, E], E]:
     48    return lambda self, e: self._annotate_with_type(e, data_type)
     49
     50
     51class _TypeAnnotator(type):
     52    def __new__(cls, clsname, bases, attrs):
     53        klass = super().__new__(cls, clsname, bases, attrs)
     54
     55        # Highest-to-lowest type precedence, as specified in Spark's docs (ANSI):
     56        # https://spark.apache.org/docs/3.2.0/sql-ref-ansi-compliance.html
     57        text_precedence = (
     58            exp.DataType.Type.TEXT,
     59            exp.DataType.Type.NVARCHAR,
     60            exp.DataType.Type.VARCHAR,
     61            exp.DataType.Type.NCHAR,
     62            exp.DataType.Type.CHAR,
     63        )
     64        numeric_precedence = (
     65            exp.DataType.Type.DOUBLE,
     66            exp.DataType.Type.FLOAT,
     67            exp.DataType.Type.DECIMAL,
     68            exp.DataType.Type.BIGINT,
     69            exp.DataType.Type.INT,
     70            exp.DataType.Type.SMALLINT,
     71            exp.DataType.Type.TINYINT,
     72        )
     73        timelike_precedence = (
     74            exp.DataType.Type.TIMESTAMPLTZ,
     75            exp.DataType.Type.TIMESTAMPTZ,
     76            exp.DataType.Type.TIMESTAMP,
     77            exp.DataType.Type.DATETIME,
     78            exp.DataType.Type.DATE,
     79        )
     80
     81        for type_precedence in (text_precedence, numeric_precedence, timelike_precedence):
     82            coerces_to = set()
     83            for data_type in type_precedence:
     84                klass.COERCES_TO[data_type] = coerces_to.copy()
     85                coerces_to |= {data_type}
     86
     87        return klass
     88
     89
     90class TypeAnnotator(metaclass=_TypeAnnotator):
     91    TYPE_TO_EXPRESSIONS: t.Dict[exp.DataType.Type, t.Set[t.Type[exp.Expression]]] = {
     92        exp.DataType.Type.BIGINT: {
     93            exp.ApproxDistinct,
     94            exp.ArraySize,
     95            exp.Count,
     96            exp.Length,
     97        },
     98        exp.DataType.Type.BOOLEAN: {
     99            exp.Between,
    100            exp.Boolean,
    101            exp.In,
    102            exp.RegexpLike,
    103        },
    104        exp.DataType.Type.DATE: {
    105            exp.CurrentDate,
    106            exp.Date,
    107            exp.DateAdd,
    108            exp.DateFromParts,
    109            exp.DateStrToDate,
    110            exp.DateSub,
    111            exp.DateTrunc,
    112            exp.DiToDate,
    113            exp.StrToDate,
    114            exp.TimeStrToDate,
    115            exp.TsOrDsToDate,
    116        },
    117        exp.DataType.Type.DATETIME: {
    118            exp.CurrentDatetime,
    119            exp.DatetimeAdd,
    120            exp.DatetimeSub,
    121        },
    122        exp.DataType.Type.DOUBLE: {
    123            exp.ApproxQuantile,
    124            exp.Avg,
    125            exp.Exp,
    126            exp.Ln,
    127            exp.Log,
    128            exp.Log2,
    129            exp.Log10,
    130            exp.Pow,
    131            exp.Quantile,
    132            exp.Round,
    133            exp.SafeDivide,
    134            exp.Sqrt,
    135            exp.Stddev,
    136            exp.StddevPop,
    137            exp.StddevSamp,
    138            exp.Variance,
    139            exp.VariancePop,
    140        },
    141        exp.DataType.Type.INT: {
    142            exp.Ceil,
    143            exp.DateDiff,
    144            exp.DatetimeDiff,
    145            exp.Extract,
    146            exp.TimestampDiff,
    147            exp.TimeDiff,
    148            exp.DateToDi,
    149            exp.Floor,
    150            exp.Levenshtein,
    151            exp.StrPosition,
    152            exp.TsOrDiToDi,
    153        },
    154        exp.DataType.Type.TIMESTAMP: {
    155            exp.CurrentTime,
    156            exp.CurrentTimestamp,
    157            exp.StrToTime,
    158            exp.TimeAdd,
    159            exp.TimeStrToTime,
    160            exp.TimeSub,
    161            exp.TimestampAdd,
    162            exp.TimestampSub,
    163            exp.UnixToTime,
    164        },
    165        exp.DataType.Type.TINYINT: {
    166            exp.Day,
    167            exp.Month,
    168            exp.Week,
    169            exp.Year,
    170        },
    171        exp.DataType.Type.VARCHAR: {
    172            exp.ArrayConcat,
    173            exp.Concat,
    174            exp.ConcatWs,
    175            exp.DateToDateStr,
    176            exp.GroupConcat,
    177            exp.Initcap,
    178            exp.Lower,
    179            exp.SafeConcat,
    180            exp.Substring,
    181            exp.TimeToStr,
    182            exp.TimeToTimeStr,
    183            exp.Trim,
    184            exp.TsOrDsToDateStr,
    185            exp.UnixToStr,
    186            exp.UnixToTimeStr,
    187            exp.Upper,
    188        },
    189    }
    190
    191    ANNOTATORS: t.Dict = {
    192        **{
    193            expr_type: lambda self, e: self._annotate_unary(e)
    194            for expr_type in subclasses(exp.__name__, (exp.Unary, exp.Alias))
    195        },
    196        **{
    197            expr_type: lambda self, e: self._annotate_binary(e)
    198            for expr_type in subclasses(exp.__name__, exp.Binary)
    199        },
    200        **{
    201            expr_type: _annotate_with_type_lambda(data_type)
    202            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
    203            for expr_type in expressions
    204        },
    205        exp.Anonymous: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN),
    206        exp.Cast: lambda self, e: self._annotate_with_type(e, e.args["to"]),
    207        exp.Case: lambda self, e: self._annotate_by_args(e, "default", "ifs"),
    208        exp.Coalesce: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    209        exp.DataType: lambda self, e: self._annotate_with_type(e, e.copy()),
    210        exp.If: lambda self, e: self._annotate_by_args(e, "true", "false"),
    211        exp.Interval: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.INTERVAL),
    212        exp.Least: lambda self, e: self._annotate_by_args(e, "expressions"),
    213        exp.Literal: lambda self, e: self._annotate_literal(e),
    214        exp.Map: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP),
    215        exp.Max: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    216        exp.Min: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    217        exp.Null: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.NULL),
    218        exp.Sum: lambda self, e: self._annotate_by_args(e, "this", "expressions", promote=True),
    219        exp.TryCast: lambda self, e: self._annotate_with_type(e, e.args["to"]),
    220        exp.VarMap: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP),
    221    }
    222
    223    # Specifies what types a given type can be coerced into (autofilled)
    224    COERCES_TO: t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]] = {}
    225
    226    def __init__(
    227        self,
    228        schema: Schema,
    229        annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None,
    230        coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None,
    231    ) -> None:
    232        self.schema = schema
    233        self.annotators = annotators or self.ANNOTATORS
    234        self.coerces_to = coerces_to or self.COERCES_TO
    235
    236    def annotate(self, expression: E) -> E:
    237        for scope in traverse_scope(expression):
    238            selects = {}
    239            for name, source in scope.sources.items():
    240                if not isinstance(source, Scope):
    241                    continue
    242                if isinstance(source.expression, exp.UDTF):
    243                    values = []
    244
    245                    if isinstance(source.expression, exp.Lateral):
    246                        if isinstance(source.expression.this, exp.Explode):
    247                            values = [source.expression.this.this]
    248                    else:
    249                        values = source.expression.expressions[0].expressions
    250
    251                    if not values:
    252                        continue
    253
    254                    selects[name] = {
    255                        alias: column
    256                        for alias, column in zip(
    257                            source.expression.alias_column_names,
    258                            values,
    259                        )
    260                    }
    261                else:
    262                    selects[name] = {
    263                        select.alias_or_name: select for select in source.expression.selects
    264                    }
    265
    266            # First annotate the current scope's column references
    267            for col in scope.columns:
    268                if not col.table:
    269                    continue
    270
    271                source = scope.sources.get(col.table)
    272                if isinstance(source, exp.Table):
    273                    col.type = self.schema.get_column_type(source, col)
    274                elif source and col.table in selects and col.name in selects[col.table]:
    275                    col.type = selects[col.table][col.name].type
    276
    277            # Then (possibly) annotate the remaining expressions in the scope
    278            self._maybe_annotate(scope.expression)
    279
    280        return self._maybe_annotate(expression)  # This takes care of non-traversable expressions
    281
    282    def _maybe_annotate(self, expression: E) -> E:
    283        if expression.type:
    284            return expression  # We've already inferred the expression's type
    285
    286        annotator = self.annotators.get(expression.__class__)
    287
    288        return (
    289            annotator(self, expression)
    290            if annotator
    291            else self._annotate_with_type(expression, exp.DataType.Type.UNKNOWN)
    292        )
    293
    294    def _annotate_args(self, expression: E) -> E:
    295        for _, value in expression.iter_expressions():
    296            self._maybe_annotate(value)
    297
    298        return expression
    299
    300    def _maybe_coerce(
    301        self, type1: exp.DataType | exp.DataType.Type, type2: exp.DataType | exp.DataType.Type
    302    ) -> exp.DataType.Type:
    303        # We propagate the NULL / UNKNOWN types upwards if found
    304        if isinstance(type1, exp.DataType):
    305            type1 = type1.this
    306        if isinstance(type2, exp.DataType):
    307            type2 = type2.this
    308
    309        if exp.DataType.Type.NULL in (type1, type2):
    310            return exp.DataType.Type.NULL
    311        if exp.DataType.Type.UNKNOWN in (type1, type2):
    312            return exp.DataType.Type.UNKNOWN
    313
    314        return type2 if type2 in self.coerces_to.get(type1, {}) else type1  # type: ignore
    315
    316    # Note: the following "no_type_check" decorators were added because mypy was yelling due
    317    # to assigning Type values to expression.type (since its getter returns Optional[DataType]).
    318    # This is a known mypy issue: https://github.com/python/mypy/issues/3004
    319
    320    @t.no_type_check
    321    def _annotate_binary(self, expression: B) -> B:
    322        self._annotate_args(expression)
    323
    324        left_type = expression.left.type.this
    325        right_type = expression.right.type.this
    326
    327        if isinstance(expression, exp.Connector):
    328            if left_type == exp.DataType.Type.NULL and right_type == exp.DataType.Type.NULL:
    329                expression.type = exp.DataType.Type.NULL
    330            elif exp.DataType.Type.NULL in (left_type, right_type):
    331                expression.type = exp.DataType.build(
    332                    "NULLABLE", expressions=exp.DataType.build("BOOLEAN")
    333                )
    334            else:
    335                expression.type = exp.DataType.Type.BOOLEAN
    336        elif isinstance(expression, exp.Predicate):
    337            expression.type = exp.DataType.Type.BOOLEAN
    338        else:
    339            expression.type = self._maybe_coerce(left_type, right_type)
    340
    341        return expression
    342
    343    @t.no_type_check
    344    def _annotate_unary(self, expression: E) -> E:
    345        self._annotate_args(expression)
    346
    347        if isinstance(expression, exp.Condition) and not isinstance(expression, exp.Paren):
    348            expression.type = exp.DataType.Type.BOOLEAN
    349        else:
    350            expression.type = expression.this.type
    351
    352        return expression
    353
    354    @t.no_type_check
    355    def _annotate_literal(self, expression: exp.Literal) -> exp.Literal:
    356        if expression.is_string:
    357            expression.type = exp.DataType.Type.VARCHAR
    358        elif expression.is_int:
    359            expression.type = exp.DataType.Type.INT
    360        else:
    361            expression.type = exp.DataType.Type.DOUBLE
    362
    363        return expression
    364
    365    @t.no_type_check
    366    def _annotate_with_type(self, expression: E, target_type: exp.DataType.Type) -> E:
    367        expression.type = target_type
    368        return self._annotate_args(expression)
    369
    370    @t.no_type_check
    371    def _annotate_by_args(self, expression: E, *args: str, promote: bool = False) -> E:
    372        self._annotate_args(expression)
    373
    374        expressions: t.List[exp.Expression] = []
    375        for arg in args:
    376            arg_expr = expression.args.get(arg)
    377            expressions.extend(expr for expr in ensure_list(arg_expr) if expr)
    378
    379        last_datatype = None
    380        for expr in expressions:
    381            last_datatype = self._maybe_coerce(last_datatype or expr.type, expr.type)
    382
    383        expression.type = last_datatype or exp.DataType.Type.UNKNOWN
    384
    385        if promote:
    386            if expression.type.this in exp.DataType.INTEGER_TYPES:
    387                expression.type = exp.DataType.Type.BIGINT
    388            elif expression.type.this in exp.DataType.FLOAT_TYPES:
    389                expression.type = exp.DataType.Type.DOUBLE
    390
    391        return expression

def annotate_types( expression: ~E, schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None, annotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None, coerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None) -> ~E: View Source

    16def annotate_types(
    17    expression: E,
    18    schema: t.Optional[t.Dict | Schema] = None,
    19    annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None,
    20    coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None,
    21) -> E:
    22    """
    23    Infers the types of an expression, annotating its AST accordingly.
    24
    25    Example:
    26        >>> import sqlglot
    27        >>> schema = {"y": {"cola": "SMALLINT"}}
    28        >>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"
    29        >>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)
    30        >>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"
    31        <Type.DOUBLE: 'DOUBLE'>
    32
    33    Args:
    34        expression: Expression to annotate.
    35        schema: Database schema.
    36        annotators: Maps expression type to corresponding annotation function.
    37        coerces_to: Maps expression type to set of types that it can be coerced into.
    38
    39    Returns:
    40        The expression annotated with types.
    41    """
    42
    43    schema = ensure_schema(schema)
    44
    45    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.

class TypeAnnotator: View Source

     91class TypeAnnotator(metaclass=_TypeAnnotator):
     92    TYPE_TO_EXPRESSIONS: t.Dict[exp.DataType.Type, t.Set[t.Type[exp.Expression]]] = {
     93        exp.DataType.Type.BIGINT: {
     94            exp.ApproxDistinct,
     95            exp.ArraySize,
     96            exp.Count,
     97            exp.Length,
     98        },
     99        exp.DataType.Type.BOOLEAN: {
    100            exp.Between,
    101            exp.Boolean,
    102            exp.In,
    103            exp.RegexpLike,
    104        },
    105        exp.DataType.Type.DATE: {
    106            exp.CurrentDate,
    107            exp.Date,
    108            exp.DateAdd,
    109            exp.DateFromParts,
    110            exp.DateStrToDate,
    111            exp.DateSub,
    112            exp.DateTrunc,
    113            exp.DiToDate,
    114            exp.StrToDate,
    115            exp.TimeStrToDate,
    116            exp.TsOrDsToDate,
    117        },
    118        exp.DataType.Type.DATETIME: {
    119            exp.CurrentDatetime,
    120            exp.DatetimeAdd,
    121            exp.DatetimeSub,
    122        },
    123        exp.DataType.Type.DOUBLE: {
    124            exp.ApproxQuantile,
    125            exp.Avg,
    126            exp.Exp,
    127            exp.Ln,
    128            exp.Log,
    129            exp.Log2,
    130            exp.Log10,
    131            exp.Pow,
    132            exp.Quantile,
    133            exp.Round,
    134            exp.SafeDivide,
    135            exp.Sqrt,
    136            exp.Stddev,
    137            exp.StddevPop,
    138            exp.StddevSamp,
    139            exp.Variance,
    140            exp.VariancePop,
    141        },
    142        exp.DataType.Type.INT: {
    143            exp.Ceil,
    144            exp.DateDiff,
    145            exp.DatetimeDiff,
    146            exp.Extract,
    147            exp.TimestampDiff,
    148            exp.TimeDiff,
    149            exp.DateToDi,
    150            exp.Floor,
    151            exp.Levenshtein,
    152            exp.StrPosition,
    153            exp.TsOrDiToDi,
    154        },
    155        exp.DataType.Type.TIMESTAMP: {
    156            exp.CurrentTime,
    157            exp.CurrentTimestamp,
    158            exp.StrToTime,
    159            exp.TimeAdd,
    160            exp.TimeStrToTime,
    161            exp.TimeSub,
    162            exp.TimestampAdd,
    163            exp.TimestampSub,
    164            exp.UnixToTime,
    165        },
    166        exp.DataType.Type.TINYINT: {
    167            exp.Day,
    168            exp.Month,
    169            exp.Week,
    170            exp.Year,
    171        },
    172        exp.DataType.Type.VARCHAR: {
    173            exp.ArrayConcat,
    174            exp.Concat,
    175            exp.ConcatWs,
    176            exp.DateToDateStr,
    177            exp.GroupConcat,
    178            exp.Initcap,
    179            exp.Lower,
    180            exp.SafeConcat,
    181            exp.Substring,
    182            exp.TimeToStr,
    183            exp.TimeToTimeStr,
    184            exp.Trim,
    185            exp.TsOrDsToDateStr,
    186            exp.UnixToStr,
    187            exp.UnixToTimeStr,
    188            exp.Upper,
    189        },
    190    }
    191
    192    ANNOTATORS: t.Dict = {
    193        **{
    194            expr_type: lambda self, e: self._annotate_unary(e)
    195            for expr_type in subclasses(exp.__name__, (exp.Unary, exp.Alias))
    196        },
    197        **{
    198            expr_type: lambda self, e: self._annotate_binary(e)
    199            for expr_type in subclasses(exp.__name__, exp.Binary)
    200        },
    201        **{
    202            expr_type: _annotate_with_type_lambda(data_type)
    203            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
    204            for expr_type in expressions
    205        },
    206        exp.Anonymous: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.UNKNOWN),
    207        exp.Cast: lambda self, e: self._annotate_with_type(e, e.args["to"]),
    208        exp.Case: lambda self, e: self._annotate_by_args(e, "default", "ifs"),
    209        exp.Coalesce: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    210        exp.DataType: lambda self, e: self._annotate_with_type(e, e.copy()),
    211        exp.If: lambda self, e: self._annotate_by_args(e, "true", "false"),
    212        exp.Interval: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.INTERVAL),
    213        exp.Least: lambda self, e: self._annotate_by_args(e, "expressions"),
    214        exp.Literal: lambda self, e: self._annotate_literal(e),
    215        exp.Map: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP),
    216        exp.Max: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    217        exp.Min: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
    218        exp.Null: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.NULL),
    219        exp.Sum: lambda self, e: self._annotate_by_args(e, "this", "expressions", promote=True),
    220        exp.TryCast: lambda self, e: self._annotate_with_type(e, e.args["to"]),
    221        exp.VarMap: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.MAP),
    222    }
    223
    224    # Specifies what types a given type can be coerced into (autofilled)
    225    COERCES_TO: t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]] = {}
    226
    227    def __init__(
    228        self,
    229        schema: Schema,
    230        annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None,
    231        coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None,
    232    ) -> None:
    233        self.schema = schema
    234        self.annotators = annotators or self.ANNOTATORS
    235        self.coerces_to = coerces_to or self.COERCES_TO
    236
    237    def annotate(self, expression: E) -> E:
    238        for scope in traverse_scope(expression):
    239            selects = {}
    240            for name, source in scope.sources.items():
    241                if not isinstance(source, Scope):
    242                    continue
    243                if isinstance(source.expression, exp.UDTF):
    244                    values = []
    245
    246                    if isinstance(source.expression, exp.Lateral):
    247                        if isinstance(source.expression.this, exp.Explode):
    248                            values = [source.expression.this.this]
    249                    else:
    250                        values = source.expression.expressions[0].expressions
    251
    252                    if not values:
    253                        continue
    254
    255                    selects[name] = {
    256                        alias: column
    257                        for alias, column in zip(
    258                            source.expression.alias_column_names,
    259                            values,
    260                        )
    261                    }
    262                else:
    263                    selects[name] = {
    264                        select.alias_or_name: select for select in source.expression.selects
    265                    }
    266
    267            # First annotate the current scope's column references
    268            for col in scope.columns:
    269                if not col.table:
    270                    continue
    271
    272                source = scope.sources.get(col.table)
    273                if isinstance(source, exp.Table):
    274                    col.type = self.schema.get_column_type(source, col)
    275                elif source and col.table in selects and col.name in selects[col.table]:
    276                    col.type = selects[col.table][col.name].type
    277
    278            # Then (possibly) annotate the remaining expressions in the scope
    279            self._maybe_annotate(scope.expression)
    280
    281        return self._maybe_annotate(expression)  # This takes care of non-traversable expressions
    282
    283    def _maybe_annotate(self, expression: E) -> E:
    284        if expression.type:
    285            return expression  # We've already inferred the expression's type
    286
    287        annotator = self.annotators.get(expression.__class__)
    288
    289        return (
    290            annotator(self, expression)
    291            if annotator
    292            else self._annotate_with_type(expression, exp.DataType.Type.UNKNOWN)
    293        )
    294
    295    def _annotate_args(self, expression: E) -> E:
    296        for _, value in expression.iter_expressions():
    297            self._maybe_annotate(value)
    298
    299        return expression
    300
    301    def _maybe_coerce(
    302        self, type1: exp.DataType | exp.DataType.Type, type2: exp.DataType | exp.DataType.Type
    303    ) -> exp.DataType.Type:
    304        # We propagate the NULL / UNKNOWN types upwards if found
    305        if isinstance(type1, exp.DataType):
    306            type1 = type1.this
    307        if isinstance(type2, exp.DataType):
    308            type2 = type2.this
    309
    310        if exp.DataType.Type.NULL in (type1, type2):
    311            return exp.DataType.Type.NULL
    312        if exp.DataType.Type.UNKNOWN in (type1, type2):
    313            return exp.DataType.Type.UNKNOWN
    314
    315        return type2 if type2 in self.coerces_to.get(type1, {}) else type1  # type: ignore
    316
    317    # Note: the following "no_type_check" decorators were added because mypy was yelling due
    318    # to assigning Type values to expression.type (since its getter returns Optional[DataType]).
    319    # This is a known mypy issue: https://github.com/python/mypy/issues/3004
    320
    321    @t.no_type_check
    322    def _annotate_binary(self, expression: B) -> B:
    323        self._annotate_args(expression)
    324
    325        left_type = expression.left.type.this
    326        right_type = expression.right.type.this
    327
    328        if isinstance(expression, exp.Connector):
    329            if left_type == exp.DataType.Type.NULL and right_type == exp.DataType.Type.NULL:
    330                expression.type = exp.DataType.Type.NULL
    331            elif exp.DataType.Type.NULL in (left_type, right_type):
    332                expression.type = exp.DataType.build(
    333                    "NULLABLE", expressions=exp.DataType.build("BOOLEAN")
    334                )
    335            else:
    336                expression.type = exp.DataType.Type.BOOLEAN
    337        elif isinstance(expression, exp.Predicate):
    338            expression.type = exp.DataType.Type.BOOLEAN
    339        else:
    340            expression.type = self._maybe_coerce(left_type, right_type)
    341
    342        return expression
    343
    344    @t.no_type_check
    345    def _annotate_unary(self, expression: E) -> E:
    346        self._annotate_args(expression)
    347
    348        if isinstance(expression, exp.Condition) and not isinstance(expression, exp.Paren):
    349            expression.type = exp.DataType.Type.BOOLEAN
    350        else:
    351            expression.type = expression.this.type
    352
    353        return expression
    354
    355    @t.no_type_check
    356    def _annotate_literal(self, expression: exp.Literal) -> exp.Literal:
    357        if expression.is_string:
    358            expression.type = exp.DataType.Type.VARCHAR
    359        elif expression.is_int:
    360            expression.type = exp.DataType.Type.INT
    361        else:
    362            expression.type = exp.DataType.Type.DOUBLE
    363
    364        return expression
    365
    366    @t.no_type_check
    367    def _annotate_with_type(self, expression: E, target_type: exp.DataType.Type) -> E:
    368        expression.type = target_type
    369        return self._annotate_args(expression)
    370
    371    @t.no_type_check
    372    def _annotate_by_args(self, expression: E, *args: str, promote: bool = False) -> E:
    373        self._annotate_args(expression)
    374
    375        expressions: t.List[exp.Expression] = []
    376        for arg in args:
    377            arg_expr = expression.args.get(arg)
    378            expressions.extend(expr for expr in ensure_list(arg_expr) if expr)
    379
    380        last_datatype = None
    381        for expr in expressions:
    382            last_datatype = self._maybe_coerce(last_datatype or expr.type, expr.type)
    383
    384        expression.type = last_datatype or exp.DataType.Type.UNKNOWN
    385
    386        if promote:
    387            if expression.type.this in exp.DataType.INTEGER_TYPES:
    388                expression.type = exp.DataType.Type.BIGINT
    389            elif expression.type.this in exp.DataType.FLOAT_TYPES:
    390                expression.type = exp.DataType.Type.DOUBLE
    391
    392        return expression

TypeAnnotator( schema: sqlglot.schema.Schema, annotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None, coerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None) View Source

    227    def __init__(
    228        self,
    229        schema: Schema,
    230        annotators: t.Optional[t.Dict[t.Type[E], t.Callable[[TypeAnnotator, E], E]]] = None,
    231        coerces_to: t.Optional[t.Dict[exp.DataType.Type, t.Set[exp.DataType.Type]]] = None,
    232    ) -> None:
    233        self.schema = schema
    234        self.annotators = annotators or self.ANNOTATORS
    235        self.coerces_to = coerces_to or self.COERCES_TO

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.Count'>, <class 'sqlglot.expressions.ApproxDistinct'>}, <Type.BOOLEAN: 'BOOLEAN'>: {<class 'sqlglot.expressions.In'>, <class 'sqlglot.expressions.RegexpLike'>, <class 'sqlglot.expressions.Boolean'>, <class 'sqlglot.expressions.Between'>}, <Type.DATE: 'DATE'>: {<class 'sqlglot.expressions.Date'>, <class 'sqlglot.expressions.DateSub'>, <class 'sqlglot.expressions.StrToDate'>, <class 'sqlglot.expressions.DateAdd'>, <class 'sqlglot.expressions.TimeStrToDate'>, <class 'sqlglot.expressions.DateStrToDate'>, <class 'sqlglot.expressions.DiToDate'>, <class 'sqlglot.expressions.DateFromParts'>, <class 'sqlglot.expressions.TsOrDsToDate'>, <class 'sqlglot.expressions.DateTrunc'>, <class 'sqlglot.expressions.CurrentDate'>}, <Type.DATETIME: 'DATETIME'>: {<class 'sqlglot.expressions.CurrentDatetime'>, <class 'sqlglot.expressions.DatetimeSub'>, <class 'sqlglot.expressions.DatetimeAdd'>}, <Type.DOUBLE: 'DOUBLE'>: {<class 'sqlglot.expressions.Stddev'>, <class 'sqlglot.expressions.Exp'>, <class 'sqlglot.expressions.Sqrt'>, <class 'sqlglot.expressions.Log10'>, <class 'sqlglot.expressions.Log2'>, <class 'sqlglot.expressions.ApproxQuantile'>, <class 'sqlglot.expressions.Avg'>, <class 'sqlglot.expressions.SafeDivide'>, <class 'sqlglot.expressions.Log'>, <class 'sqlglot.expressions.Quantile'>, <class 'sqlglot.expressions.Ln'>, <class 'sqlglot.expressions.Round'>, <class 'sqlglot.expressions.Variance'>, <class 'sqlglot.expressions.Pow'>, <class 'sqlglot.expressions.StddevSamp'>, <class 'sqlglot.expressions.VariancePop'>, <class 'sqlglot.expressions.StddevPop'>}, <Type.INT: 'INT'>: {<class 'sqlglot.expressions.DateDiff'>, <class 'sqlglot.expressions.DateToDi'>, <class 'sqlglot.expressions.TimestampDiff'>, <class 'sqlglot.expressions.StrPosition'>, <class 'sqlglot.expressions.TsOrDiToDi'>, <class 'sqlglot.expressions.DatetimeDiff'>, <class 'sqlglot.expressions.Extract'>, <class 'sqlglot.expressions.Ceil'>, <class 'sqlglot.expressions.TimeDiff'>, <class 'sqlglot.expressions.Floor'>, <class 'sqlglot.expressions.Levenshtein'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<class 'sqlglot.expressions.TimeAdd'>, <class 'sqlglot.expressions.StrToTime'>, <class 'sqlglot.expressions.UnixToTime'>, <class 'sqlglot.expressions.TimeStrToTime'>, <class 'sqlglot.expressions.TimestampSub'>, <class 'sqlglot.expressions.TimestampAdd'>, <class 'sqlglot.expressions.CurrentTimestamp'>, <class 'sqlglot.expressions.CurrentTime'>, <class 'sqlglot.expressions.TimeSub'>}, <Type.TINYINT: 'TINYINT'>: {<class 'sqlglot.expressions.Year'>, <class 'sqlglot.expressions.Week'>, <class 'sqlglot.expressions.Month'>, <class 'sqlglot.expressions.Day'>}, <Type.VARCHAR: 'VARCHAR'>: {<class 'sqlglot.expressions.Lower'>, <class 'sqlglot.expressions.UnixToStr'>, <class 'sqlglot.expressions.Upper'>, <class 'sqlglot.expressions.ConcatWs'>, <class 'sqlglot.expressions.DateToDateStr'>, <class 'sqlglot.expressions.Concat'>, <class 'sqlglot.expressions.Trim'>, <class 'sqlglot.expressions.GroupConcat'>, <class 'sqlglot.expressions.SafeConcat'>, <class 'sqlglot.expressions.TimeToTimeStr'>, <class 'sqlglot.expressions.ArrayConcat'>, <class 'sqlglot.expressions.Substring'>, <class 'sqlglot.expressions.TimeToStr'>, <class 'sqlglot.expressions.TsOrDsToDateStr'>, <class 'sqlglot.expressions.UnixToTimeStr'>, <class 'sqlglot.expressions.Initcap'>}}
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.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.<dictcomp>.<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.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.RegexpLike'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDPipe'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.SimilarTo'>: <function TypeAnnotator.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Slice'>: <function TypeAnnotator.<dictcomp>.<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.Count'>: <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.Boolean'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Between'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Date'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <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.TsOrDsToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateTrunc'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDatetime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log10'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log2'>: <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.SafeDivide'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateDiff'>: <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.TsOrDiToDi'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Extract'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <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.UnixToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Year'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Week'>: <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.Lower'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Upper'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ConcatWs'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDateStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Concat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeConcat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToTimeStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <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.TsOrDsToDateStr'>: <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.Anonymous'>: <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.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.Sum'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.TryCast'>: <function TypeAnnotator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <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.VARCHAR: 'VARCHAR'>, <Type.NVARCHAR: 'NVARCHAR'>, <Type.TEXT: 'TEXT'>}, <Type.CHAR: 'CHAR'>: {<Type.VARCHAR: 'VARCHAR'>, <Type.NVARCHAR: 'NVARCHAR'>, <Type.NCHAR: 'NCHAR'>, <Type.TEXT: 'TEXT'>}, <Type.DOUBLE: 'DOUBLE'>: set(), <Type.FLOAT: 'FLOAT'>: {<Type.DOUBLE: 'DOUBLE'>}, <Type.DECIMAL: 'DECIMAL'>: {<Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>}, <Type.BIGINT: 'BIGINT'>: {<Type.DECIMAL: 'DECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>}, <Type.INT: 'INT'>: {<Type.BIGINT: 'BIGINT'>, <Type.DECIMAL: 'DECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>}, <Type.SMALLINT: 'SMALLINT'>: {<Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>, <Type.INT: 'INT'>, <Type.FLOAT: 'FLOAT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.TINYINT: 'TINYINT'>: {<Type.DECIMAL: 'DECIMAL'>, <Type.BIGINT: 'BIGINT'>, <Type.INT: 'INT'>, <Type.SMALLINT: 'SMALLINT'>, <Type.FLOAT: 'FLOAT'>, <Type.DOUBLE: 'DOUBLE'>}, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: set(), <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.DATETIME: 'DATETIME'>: {<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.DATE: 'DATE'>: {<Type.DATETIME: 'DATETIME'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}}
schema
annotators
coerces_to
def annotate(self, expression: ~E) -> ~E: View Source

    237    def annotate(self, expression: E) -> E:
    238        for scope in traverse_scope(expression):
    239            selects = {}
    240            for name, source in scope.sources.items():
    241                if not isinstance(source, Scope):
    242                    continue
    243                if isinstance(source.expression, exp.UDTF):
    244                    values = []
    245
    246                    if isinstance(source.expression, exp.Lateral):
    247                        if isinstance(source.expression.this, exp.Explode):
    248                            values = [source.expression.this.this]
    249                    else:
    250                        values = source.expression.expressions[0].expressions
    251
    252                    if not values:
    253                        continue
    254
    255                    selects[name] = {
    256                        alias: column
    257                        for alias, column in zip(
    258                            source.expression.alias_column_names,
    259                            values,
    260                        )
    261                    }
    262                else:
    263                    selects[name] = {
    264                        select.alias_or_name: select for select in source.expression.selects
    265                    }
    266
    267            # First annotate the current scope's column references
    268            for col in scope.columns:
    269                if not col.table:
    270                    continue
    271
    272                source = scope.sources.get(col.table)
    273                if isinstance(source, exp.Table):
    274                    col.type = self.schema.get_column_type(source, col)
    275                elif source and col.table in selects and col.name in selects[col.table]:
    276                    col.type = selects[col.table][col.name].type
    277
    278            # Then (possibly) annotate the remaining expressions in the scope
    279            self._maybe_annotate(scope.expression)
    280
    281        return self._maybe_annotate(expression)  # This takes care of non-traversable expressions