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

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

    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

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

    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