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sqlglot.dialects.fabric

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  1from __future__ import annotations
  2
  3
  4from sqlglot import exp, transforms
  5from sqlglot.dialects.dialect import NormalizationStrategy
  6from sqlglot.dialects.tsql import TSQL
  7from sqlglot.tokens import TokenType
  8
  9
 10def _cap_data_type_precision(expression: exp.DataType, max_precision: int = 6) -> exp.DataType:
 11    """
 12    Cap the precision of to a maximum of `max_precision` digits.
 13    If no precision is specified, default to `max_precision`.
 14    """
 15
 16    precision_param = expression.find(exp.DataTypeParam)
 17
 18    if precision_param and precision_param.this.is_int:
 19        current_precision = precision_param.this.to_py()
 20        target_precision = min(current_precision, max_precision)
 21    else:
 22        target_precision = max_precision
 23
 24    return exp.DataType(
 25        this=expression.this,
 26        expressions=[exp.DataTypeParam(this=exp.Literal.number(target_precision))],
 27    )
 28
 29
 30def _add_default_precision_to_varchar(expression: exp.Expression) -> exp.Expression:
 31    """Transform function to add VARCHAR(MAX) or CHAR(MAX) for cross-dialect conversion."""
 32    if (
 33        isinstance(expression, exp.Create)
 34        and expression.kind == "TABLE"
 35        and isinstance(expression.this, exp.Schema)
 36    ):
 37        for column in expression.this.expressions:
 38            if isinstance(column, exp.ColumnDef):
 39                column_type = column.kind
 40                if (
 41                    isinstance(column_type, exp.DataType)
 42                    and column_type.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.CHAR)
 43                    and not column_type.expressions
 44                ):
 45                    # For transpilation, VARCHAR/CHAR without precision becomes VARCHAR(MAX)/CHAR(MAX)
 46                    column_type.set("expressions", [exp.var("MAX")])
 47
 48    return expression
 49
 50
 51class Fabric(TSQL):
 52    """
 53    Microsoft Fabric Data Warehouse dialect that inherits from T-SQL.
 54
 55    Microsoft Fabric is a cloud-based analytics platform that provides a unified
 56    data warehouse experience. While it shares much of T-SQL's syntax, it has
 57    specific differences and limitations that this dialect addresses.
 58
 59    Key differences from T-SQL:
 60    - Case-sensitive identifiers (unlike T-SQL which is case-insensitive)
 61    - Limited data type support with mappings to supported alternatives
 62    - Temporal types (DATETIME2, DATETIMEOFFSET, TIME) limited to 6 digits precision
 63    - Certain legacy types (MONEY, SMALLMONEY, etc.) are not supported
 64    - Unicode types (NCHAR, NVARCHAR) are mapped to non-unicode equivalents
 65
 66    References:
 67    - Data Types: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
 68    - T-SQL Surface Area: https://learn.microsoft.com/en-us/fabric/data-warehouse/tsql-surface-area
 69    """
 70
 71    # Fabric is case-sensitive unlike T-SQL which is case-insensitive
 72    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_SENSITIVE
 73
 74    class Tokenizer(TSQL.Tokenizer):
 75        # Override T-SQL tokenizer to handle TIMESTAMP differently
 76        # In T-SQL, TIMESTAMP is a synonym for ROWVERSION, but in Fabric we want it to be a datetime type
 77        # Also add UTINYINT keyword mapping since T-SQL doesn't have it
 78        KEYWORDS = {
 79            **TSQL.Tokenizer.KEYWORDS,
 80            "TIMESTAMP": TokenType.TIMESTAMP,
 81            "UTINYINT": TokenType.UTINYINT,
 82        }
 83
 84    class Parser(TSQL.Parser):
 85        def _parse_create(self) -> exp.Create | exp.Command:
 86            create = super()._parse_create()
 87
 88            if isinstance(create, exp.Create):
 89                # Transform VARCHAR/CHAR without precision to VARCHAR(1)/CHAR(1)
 90                if create.kind == "TABLE" and isinstance(create.this, exp.Schema):
 91                    for column in create.this.expressions:
 92                        if isinstance(column, exp.ColumnDef):
 93                            column_type = column.kind
 94                            if (
 95                                isinstance(column_type, exp.DataType)
 96                                and column_type.this
 97                                in (exp.DataType.Type.VARCHAR, exp.DataType.Type.CHAR)
 98                                and not column_type.expressions
 99                            ):
100                                # Add default precision of 1 to VARCHAR/CHAR without precision
101                                # When n isn't specified in a data definition or variable declaration statement, the default length is 1.
102                                # https://learn.microsoft.com/en-us/sql/t-sql/data-types/char-and-varchar-transact-sql?view=sql-server-ver17#remarks
103                                column_type.set("expressions", [exp.Literal.number("1")])
104
105            return create
106
107    class Generator(TSQL.Generator):
108        # Fabric-specific type mappings - override T-SQL types that aren't supported
109        # Reference: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
110        TYPE_MAPPING = {
111            **TSQL.Generator.TYPE_MAPPING,
112            exp.DataType.Type.DATETIME: "DATETIME2",
113            exp.DataType.Type.DECIMAL: "DECIMAL",
114            exp.DataType.Type.IMAGE: "VARBINARY",
115            exp.DataType.Type.INT: "INT",
116            exp.DataType.Type.JSON: "VARCHAR",
117            exp.DataType.Type.MONEY: "DECIMAL",
118            exp.DataType.Type.NCHAR: "CHAR",
119            exp.DataType.Type.NVARCHAR: "VARCHAR",
120            exp.DataType.Type.ROWVERSION: "ROWVERSION",
121            exp.DataType.Type.SMALLDATETIME: "DATETIME2",
122            exp.DataType.Type.SMALLMONEY: "DECIMAL",
123            exp.DataType.Type.TIMESTAMP: "DATETIME2",
124            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME2",
125            exp.DataType.Type.TIMESTAMPTZ: "DATETIME2",
126            exp.DataType.Type.TINYINT: "SMALLINT",
127            exp.DataType.Type.UTINYINT: "SMALLINT",
128            exp.DataType.Type.UUID: "VARBINARY(MAX)",
129            exp.DataType.Type.XML: "VARCHAR",
130        }
131
132        TRANSFORMS = {
133            **TSQL.Generator.TRANSFORMS,
134            exp.Create: transforms.preprocess([_add_default_precision_to_varchar]),
135        }
136
137        def datatype_sql(self, expression: exp.DataType) -> str:
138            # Check if this is a temporal type that needs precision handling. Fabric limits temporal
139            # types to max 6 digits precision. When no precision is specified, we default to 6 digits.
140            if (
141                expression.is_type(*exp.DataType.TEMPORAL_TYPES)
142                and expression.this != exp.DataType.Type.DATE
143            ):
144                # Create a new expression with the capped precision
145                expression = _cap_data_type_precision(expression)
146
147            return super().datatype_sql(expression)
148
149        def cast_sql(self, expression: exp.Cast, safe_prefix: str | None = None) -> str:
150            # Cast to DATETIMEOFFSET if inside an AT TIME ZONE expression
151            # https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
152            if expression.is_type(exp.DataType.Type.TIMESTAMPTZ):
153                at_time_zone = expression.find_ancestor(exp.AtTimeZone, exp.Select)
154
155                # Return normal cast, if the expression is not in an AT TIME ZONE context
156                if not isinstance(at_time_zone, exp.AtTimeZone):
157                    return super().cast_sql(expression, safe_prefix)
158
159                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
160                capped_data_type = _cap_data_type_precision(expression.to, max_precision=6)
161                precision = capped_data_type.find(exp.DataTypeParam)
162                precision_value = (
163                    precision.this.to_py() if precision and precision.this.is_int else 6
164                )
165
166                # Do the cast explicitly to bypass sqlglot's default handling
167                datetimeoffset = f"CAST({expression.this} AS DATETIMEOFFSET({precision_value}))"
168
169                return self.sql(datetimeoffset)
170
171            return super().cast_sql(expression, safe_prefix)
172
173        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
174            # Wrap the AT TIME ZONE expression in a cast to DATETIME2 if it contains a TIMESTAMPTZ
175            ## https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
176            timestamptz_cast = expression.find(exp.Cast)
177            if timestamptz_cast and timestamptz_cast.to.is_type(exp.DataType.Type.TIMESTAMPTZ):
178                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
179                data_type = timestamptz_cast.to
180                capped_data_type = _cap_data_type_precision(data_type, max_precision=6)
181                precision_param = capped_data_type.find(exp.DataTypeParam)
182                precision = precision_param.this.to_py() if precision_param else 6
183
184                # Generate the AT TIME ZONE expression (which will handle the inner cast conversion)
185                at_time_zone_sql = super().attimezone_sql(expression)
186
187                # Wrap it in an outer cast to DATETIME2
188                return f"CAST({at_time_zone_sql} AS DATETIME2({precision}))"
189
190            return super().attimezone_sql(expression)
191
192        def unixtotime_sql(self, expression: exp.UnixToTime) -> str:
193            scale = expression.args.get("scale")
194            timestamp = expression.this
195
196            if scale not in (None, exp.UnixToTime.SECONDS):
197                self.unsupported(f"UnixToTime scale {scale} is not supported by Fabric")
198                return ""
199
200            # Convert unix timestamp (seconds) to microseconds and round to avoid decimals
201            microseconds = timestamp * exp.Literal.number("1e6")
202            rounded = exp.func("round", microseconds, 0)
203            rounded_ms_as_bigint = exp.cast(rounded, exp.DataType.Type.BIGINT)
204
205            # Create the base datetime as '1970-01-01' cast to DATETIME2(6)
206            epoch_start = exp.cast("'1970-01-01'", "datetime2(6)", dialect="fabric")
207
208            dateadd = exp.DateAdd(
209                this=epoch_start,
210                expression=rounded_ms_as_bigint,
211                unit=exp.Literal.string("MICROSECONDS"),
212            )
213            return self.sql(dateadd)

class Fabric(sqlglot.dialects.tsql.TSQL): View Source

 52class Fabric(TSQL):
 53    """
 54    Microsoft Fabric Data Warehouse dialect that inherits from T-SQL.
 55
 56    Microsoft Fabric is a cloud-based analytics platform that provides a unified
 57    data warehouse experience. While it shares much of T-SQL's syntax, it has
 58    specific differences and limitations that this dialect addresses.
 59
 60    Key differences from T-SQL:
 61    - Case-sensitive identifiers (unlike T-SQL which is case-insensitive)
 62    - Limited data type support with mappings to supported alternatives
 63    - Temporal types (DATETIME2, DATETIMEOFFSET, TIME) limited to 6 digits precision
 64    - Certain legacy types (MONEY, SMALLMONEY, etc.) are not supported
 65    - Unicode types (NCHAR, NVARCHAR) are mapped to non-unicode equivalents
 66
 67    References:
 68    - Data Types: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
 69    - T-SQL Surface Area: https://learn.microsoft.com/en-us/fabric/data-warehouse/tsql-surface-area
 70    """
 71
 72    # Fabric is case-sensitive unlike T-SQL which is case-insensitive
 73    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_SENSITIVE
 74
 75    class Tokenizer(TSQL.Tokenizer):
 76        # Override T-SQL tokenizer to handle TIMESTAMP differently
 77        # In T-SQL, TIMESTAMP is a synonym for ROWVERSION, but in Fabric we want it to be a datetime type
 78        # Also add UTINYINT keyword mapping since T-SQL doesn't have it
 79        KEYWORDS = {
 80            **TSQL.Tokenizer.KEYWORDS,
 81            "TIMESTAMP": TokenType.TIMESTAMP,
 82            "UTINYINT": TokenType.UTINYINT,
 83        }
 84
 85    class Parser(TSQL.Parser):
 86        def _parse_create(self) -> exp.Create | exp.Command:
 87            create = super()._parse_create()
 88
 89            if isinstance(create, exp.Create):
 90                # Transform VARCHAR/CHAR without precision to VARCHAR(1)/CHAR(1)
 91                if create.kind == "TABLE" and isinstance(create.this, exp.Schema):
 92                    for column in create.this.expressions:
 93                        if isinstance(column, exp.ColumnDef):
 94                            column_type = column.kind
 95                            if (
 96                                isinstance(column_type, exp.DataType)
 97                                and column_type.this
 98                                in (exp.DataType.Type.VARCHAR, exp.DataType.Type.CHAR)
 99                                and not column_type.expressions
100                            ):
101                                # Add default precision of 1 to VARCHAR/CHAR without precision
102                                # When n isn't specified in a data definition or variable declaration statement, the default length is 1.
103                                # https://learn.microsoft.com/en-us/sql/t-sql/data-types/char-and-varchar-transact-sql?view=sql-server-ver17#remarks
104                                column_type.set("expressions", [exp.Literal.number("1")])
105
106            return create
107
108    class Generator(TSQL.Generator):
109        # Fabric-specific type mappings - override T-SQL types that aren't supported
110        # Reference: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
111        TYPE_MAPPING = {
112            **TSQL.Generator.TYPE_MAPPING,
113            exp.DataType.Type.DATETIME: "DATETIME2",
114            exp.DataType.Type.DECIMAL: "DECIMAL",
115            exp.DataType.Type.IMAGE: "VARBINARY",
116            exp.DataType.Type.INT: "INT",
117            exp.DataType.Type.JSON: "VARCHAR",
118            exp.DataType.Type.MONEY: "DECIMAL",
119            exp.DataType.Type.NCHAR: "CHAR",
120            exp.DataType.Type.NVARCHAR: "VARCHAR",
121            exp.DataType.Type.ROWVERSION: "ROWVERSION",
122            exp.DataType.Type.SMALLDATETIME: "DATETIME2",
123            exp.DataType.Type.SMALLMONEY: "DECIMAL",
124            exp.DataType.Type.TIMESTAMP: "DATETIME2",
125            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME2",
126            exp.DataType.Type.TIMESTAMPTZ: "DATETIME2",
127            exp.DataType.Type.TINYINT: "SMALLINT",
128            exp.DataType.Type.UTINYINT: "SMALLINT",
129            exp.DataType.Type.UUID: "VARBINARY(MAX)",
130            exp.DataType.Type.XML: "VARCHAR",
131        }
132
133        TRANSFORMS = {
134            **TSQL.Generator.TRANSFORMS,
135            exp.Create: transforms.preprocess([_add_default_precision_to_varchar]),
136        }
137
138        def datatype_sql(self, expression: exp.DataType) -> str:
139            # Check if this is a temporal type that needs precision handling. Fabric limits temporal
140            # types to max 6 digits precision. When no precision is specified, we default to 6 digits.
141            if (
142                expression.is_type(*exp.DataType.TEMPORAL_TYPES)
143                and expression.this != exp.DataType.Type.DATE
144            ):
145                # Create a new expression with the capped precision
146                expression = _cap_data_type_precision(expression)
147
148            return super().datatype_sql(expression)
149
150        def cast_sql(self, expression: exp.Cast, safe_prefix: str | None = None) -> str:
151            # Cast to DATETIMEOFFSET if inside an AT TIME ZONE expression
152            # https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
153            if expression.is_type(exp.DataType.Type.TIMESTAMPTZ):
154                at_time_zone = expression.find_ancestor(exp.AtTimeZone, exp.Select)
155
156                # Return normal cast, if the expression is not in an AT TIME ZONE context
157                if not isinstance(at_time_zone, exp.AtTimeZone):
158                    return super().cast_sql(expression, safe_prefix)
159
160                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
161                capped_data_type = _cap_data_type_precision(expression.to, max_precision=6)
162                precision = capped_data_type.find(exp.DataTypeParam)
163                precision_value = (
164                    precision.this.to_py() if precision and precision.this.is_int else 6
165                )
166
167                # Do the cast explicitly to bypass sqlglot's default handling
168                datetimeoffset = f"CAST({expression.this} AS DATETIMEOFFSET({precision_value}))"
169
170                return self.sql(datetimeoffset)
171
172            return super().cast_sql(expression, safe_prefix)
173
174        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
175            # Wrap the AT TIME ZONE expression in a cast to DATETIME2 if it contains a TIMESTAMPTZ
176            ## https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
177            timestamptz_cast = expression.find(exp.Cast)
178            if timestamptz_cast and timestamptz_cast.to.is_type(exp.DataType.Type.TIMESTAMPTZ):
179                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
180                data_type = timestamptz_cast.to
181                capped_data_type = _cap_data_type_precision(data_type, max_precision=6)
182                precision_param = capped_data_type.find(exp.DataTypeParam)
183                precision = precision_param.this.to_py() if precision_param else 6
184
185                # Generate the AT TIME ZONE expression (which will handle the inner cast conversion)
186                at_time_zone_sql = super().attimezone_sql(expression)
187
188                # Wrap it in an outer cast to DATETIME2
189                return f"CAST({at_time_zone_sql} AS DATETIME2({precision}))"
190
191            return super().attimezone_sql(expression)
192
193        def unixtotime_sql(self, expression: exp.UnixToTime) -> str:
194            scale = expression.args.get("scale")
195            timestamp = expression.this
196
197            if scale not in (None, exp.UnixToTime.SECONDS):
198                self.unsupported(f"UnixToTime scale {scale} is not supported by Fabric")
199                return ""
200
201            # Convert unix timestamp (seconds) to microseconds and round to avoid decimals
202            microseconds = timestamp * exp.Literal.number("1e6")
203            rounded = exp.func("round", microseconds, 0)
204            rounded_ms_as_bigint = exp.cast(rounded, exp.DataType.Type.BIGINT)
205
206            # Create the base datetime as '1970-01-01' cast to DATETIME2(6)
207            epoch_start = exp.cast("'1970-01-01'", "datetime2(6)", dialect="fabric")
208
209            dateadd = exp.DateAdd(
210                this=epoch_start,
211                expression=rounded_ms_as_bigint,
212                unit=exp.Literal.string("MICROSECONDS"),
213            )
214            return self.sql(dateadd)

Microsoft Fabric Data Warehouse dialect that inherits from T-SQL.

Microsoft Fabric is a cloud-based analytics platform that provides a unified data warehouse experience. While it shares much of T-SQL's syntax, it has specific differences and limitations that this dialect addresses.

Key differences from T-SQL:

Case-sensitive identifiers (unlike T-SQL which is case-insensitive)
Limited data type support with mappings to supported alternatives
Temporal types (DATETIME2, DATETIMEOFFSET, TIME) limited to 6 digits precision
Certain legacy types (MONEY, SMALLMONEY, etc.) are not supported
Unicode types (NCHAR, NVARCHAR) are mapped to non-unicode equivalents

References:

Data Types: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
T-SQL Surface Area: https://learn.microsoft.com/en-us/fabric/data-warehouse/tsql-surface-area

NORMALIZATION_STRATEGY = <NormalizationStrategy.CASE_SENSITIVE: 'CASE_SENSITIVE'>

Specifies the strategy according to which identifiers should be normalized.

SUPPORTS_COLUMN_JOIN_MARKS = False

Whether the old-style outer join (+) syntax is supported.

tokenizer_class = <class 'Fabric.Tokenizer'>

jsonpath_tokenizer_class = <class 'sqlglot.tokens.JSONPathTokenizer'>

parser_class = <class 'Fabric.Parser'>

generator_class = <class 'Fabric.Generator'>

TIME_TRIE: Dict = {'y': {'e': {'a': {'r': {0: True}}}, 0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'd': {'a': {'y': {'o': {'f': {'y': {'e': {'a': {'r': {0: True}}}}}}, 0: True}}, 'y': {0: True}, 'w': {0: True}, 'd': {'d': {'d': {0: True}}, 0: True}, 0: True}, 'w': {'e': {'e': {'k': {0: True, 'd': {'a': {'y': {0: True}}}}}}, 'w': {0: True}, 'k': {0: True}}, 'h': {'o': {'u': {'r': {0: True}}}, 'h': {0: True}, 0: True}, 'm': {'i': {'n': {'u': {'t': {'e': {0: True}}}}, 0: True, 'l': {'l': {'i': {'s': {'e': {'c': {'o': {'n': {'d': {0: True}}}}}}}}}}, 's': {0: True}, 'o': {'n': {'t': {'h': {0: True}}}}, 'm': {0: True}, 0: True}, 'n': {0: True}, 's': {'e': {'c': {'o': {'n': {'d': {0: True}}}}}, 's': {0: True}, 0: True}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'f': {'f': {'f': {'f': {'f': {'f': {0: True}}}}}}}

FORMAT_TRIE: Dict = {'y': {'e': {'a': {'r': {0: True}}}, 0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'd': {'a': {'y': {'o': {'f': {'y': {'e': {'a': {'r': {0: True}}}}}}, 0: True}}, 'y': {0: True}, 'w': {0: True}, 'd': {'d': {'d': {0: True}}, 0: True}, 0: True}, 'w': {'e': {'e': {'k': {0: True, 'd': {'a': {'y': {0: True}}}}}}, 'w': {0: True}, 'k': {0: True}}, 'h': {'o': {'u': {'r': {0: True}}}, 'h': {0: True}, 0: True}, 'm': {'i': {'n': {'u': {'t': {'e': {0: True}}}}, 0: True, 'l': {'l': {'i': {'s': {'e': {'c': {'o': {'n': {'d': {0: True}}}}}}}}}}, 's': {0: True}, 'o': {'n': {'t': {'h': {0: True}}}}, 'm': {0: True}, 0: True}, 'n': {0: True}, 's': {'e': {'c': {'o': {'n': {'d': {0: True}}}}}, 's': {0: True}, 0: True}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'f': {'f': {'f': {'f': {'f': {'f': {0: True}}}}}}}

INVERSE_TIME_MAPPING: Dict[str, str] = {'%Y': 'yyyy', '%j': 'dayofyear', '%d': 'dd', '%W': 'wk', '%h': 'hour', '%I': 'hh', '%M': 'mm', '%S': 'ss', '%-S': 's', '%f': 'ffffff', '%w': 'dw', '%m': 'MM', '%-M': 'm', '%y': 'yy', '%B': 'MMMM', '%b': 'MMM', '%-m': 'M', '%A': 'dddd', '%-d': 'd', '%H': 'HH', '%-H': 'H', '%-I': 'h'}

INVERSE_TIME_TRIE: Dict = {'%': {'Y': {0: True}, 'j': {0: True}, 'd': {0: True}, 'W': {0: True}, 'h': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, '-': {'S': {0: True}, 'M': {0: True}, 'm': {0: True}, 'd': {0: True}, 'H': {0: True}, 'I': {0: True}}, 'f': {0: True}, 'w': {0: True}, 'm': {0: True}, 'y': {0: True}, 'B': {0: True}, 'b': {0: True}, 'A': {0: True}, 'H': {0: True}}}

INVERSE_FORMAT_MAPPING: Dict[str, str] = {}

INVERSE_FORMAT_TRIE: Dict = {}

INVERSE_CREATABLE_KIND_MAPPING: dict[str, str] = {}

ESCAPED_SEQUENCES: Dict[str, str] = {}

QUOTE_START = "'"

QUOTE_END = "'"

IDENTIFIER_START = '['

IDENTIFIER_END = ']'

BIT_START: Optional[str] = None

BIT_END: Optional[str] = None

HEX_START: Optional[str] = '0x'

HEX_END: Optional[str] = ''

BYTE_START: Optional[str] = None

BYTE_END: Optional[str] = None

UNICODE_START: Optional[str] = None

UNICODE_END: Optional[str] = None

Inherited Members

sqlglot.dialects.tsql.TSQL: SUPPORTS_SEMI_ANTI_JOIN; LOG_BASE_FIRST; TYPED_DIVISION; CONCAT_COALESCE; ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN; TIME_FORMAT; TIME_MAPPING; CONVERT_FORMAT_MAPPING; FORMAT_TIME_MAPPING

class Fabric.Tokenizer(sqlglot.dialects.tsql.TSQL.Tokenizer): View Source

75    class Tokenizer(TSQL.Tokenizer):
76        # Override T-SQL tokenizer to handle TIMESTAMP differently
77        # In T-SQL, TIMESTAMP is a synonym for ROWVERSION, but in Fabric we want it to be a datetime type
78        # Also add UTINYINT keyword mapping since T-SQL doesn't have it
79        KEYWORDS = {
80            **TSQL.Tokenizer.KEYWORDS,
81            "TIMESTAMP": TokenType.TIMESTAMP,
82            "UTINYINT": TokenType.UTINYINT,
83        }

KEYWORDS = {'{%': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%-': <TokenType.BLOCK_START: 'BLOCK_START'>, '%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '+%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '{{+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{{-': <TokenType.BLOCK_START: 'BLOCK_START'>, '+}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '==': <TokenType.EQ: 'EQ'>, '::': <TokenType.DCOLON: 'DCOLON'>, '||': <TokenType.DPIPE: 'DPIPE'>, '|>': <TokenType.PIPE_GT: 'PIPE_GT'>, '>=': <TokenType.GTE: 'GTE'>, '<=': <TokenType.LTE: 'LTE'>, '<>': <TokenType.NEQ: 'NEQ'>, '!=': <TokenType.NEQ: 'NEQ'>, ':=': <TokenType.COLON_EQ: 'COLON_EQ'>, '<=>': <TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>, '->': <TokenType.ARROW: 'ARROW'>, '->>': <TokenType.DARROW: 'DARROW'>, '=>': <TokenType.FARROW: 'FARROW'>, '#>': <TokenType.HASH_ARROW: 'HASH_ARROW'>, '#>>': <TokenType.DHASH_ARROW: 'DHASH_ARROW'>, '<->': <TokenType.LR_ARROW: 'LR_ARROW'>, '&&': <TokenType.DAMP: 'DAMP'>, '??': <TokenType.DQMARK: 'DQMARK'>, '~~~': <TokenType.GLOB: 'GLOB'>, '~~': <TokenType.LIKE: 'LIKE'>, '~~*': <TokenType.ILIKE: 'ILIKE'>, '~*': <TokenType.IRLIKE: 'IRLIKE'>, 'ALL': <TokenType.ALL: 'ALL'>, 'ALWAYS': <TokenType.ALWAYS: 'ALWAYS'>, 'AND': <TokenType.AND: 'AND'>, 'ANTI': <TokenType.ANTI: 'ANTI'>, 'ANY': <TokenType.ANY: 'ANY'>, 'ASC': <TokenType.ASC: 'ASC'>, 'AS': <TokenType.ALIAS: 'ALIAS'>, 'ASOF': <TokenType.ASOF: 'ASOF'>, 'AUTOINCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'AUTO_INCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'BEGIN': <TokenType.BEGIN: 'BEGIN'>, 'BETWEEN': <TokenType.BETWEEN: 'BETWEEN'>, 'CACHE': <TokenType.CACHE: 'CACHE'>, 'UNCACHE': <TokenType.UNCACHE: 'UNCACHE'>, 'CASE': <TokenType.CASE: 'CASE'>, 'CHARACTER SET': <TokenType.CHARACTER_SET: 'CHARACTER_SET'>, 'CLUSTER BY': <TokenType.CLUSTER_BY: 'CLUSTER_BY'>, 'COLLATE': <TokenType.COLLATE: 'COLLATE'>, 'COLUMN': <TokenType.COLUMN: 'COLUMN'>, 'COMMIT': <TokenType.COMMIT: 'COMMIT'>, 'CONNECT BY': <TokenType.CONNECT_BY: 'CONNECT_BY'>, 'CONSTRAINT': <TokenType.CONSTRAINT: 'CONSTRAINT'>, 'COPY': <TokenType.COPY: 'COPY'>, 'CREATE': <TokenType.CREATE: 'CREATE'>, 'CROSS': <TokenType.CROSS: 'CROSS'>, 'CUBE': <TokenType.CUBE: 'CUBE'>, 'CURRENT_DATE': <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, 'CURRENT_SCHEMA': <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, 'CURRENT_TIME': <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, 'CURRENT_TIMESTAMP': <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, 'CURRENT_USER': <TokenType.CURRENT_USER: 'CURRENT_USER'>, 'DATABASE': <TokenType.DATABASE: 'DATABASE'>, 'DEFAULT': <TokenType.DEFAULT: 'DEFAULT'>, 'DELETE': <TokenType.DELETE: 'DELETE'>, 'DESC': <TokenType.DESC: 'DESC'>, 'DESCRIBE': <TokenType.DESCRIBE: 'DESCRIBE'>, 'DISTINCT': <TokenType.DISTINCT: 'DISTINCT'>, 'DISTRIBUTE BY': <TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>, 'DIV': <TokenType.DIV: 'DIV'>, 'DROP': <TokenType.DROP: 'DROP'>, 'ELSE': <TokenType.ELSE: 'ELSE'>, 'END': <TokenType.END: 'END'>, 'ENUM': <TokenType.ENUM: 'ENUM'>, 'ESCAPE': <TokenType.ESCAPE: 'ESCAPE'>, 'EXCEPT': <TokenType.EXCEPT: 'EXCEPT'>, 'EXECUTE': <TokenType.EXECUTE: 'EXECUTE'>, 'EXISTS': <TokenType.EXISTS: 'EXISTS'>, 'FALSE': <TokenType.FALSE: 'FALSE'>, 'FETCH': <TokenType.FETCH: 'FETCH'>, 'FILTER': <TokenType.FILTER: 'FILTER'>, 'FIRST': <TokenType.FIRST: 'FIRST'>, 'FULL': <TokenType.FULL: 'FULL'>, 'FUNCTION': <TokenType.FUNCTION: 'FUNCTION'>, 'FOR': <TokenType.FOR: 'FOR'>, 'FOREIGN KEY': <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, 'FORMAT': <TokenType.FORMAT: 'FORMAT'>, 'FROM': <TokenType.FROM: 'FROM'>, 'GEOGRAPHY': <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, 'GEOMETRY': <TokenType.GEOMETRY: 'GEOMETRY'>, 'GLOB': <TokenType.GLOB: 'GLOB'>, 'GROUP BY': <TokenType.GROUP_BY: 'GROUP_BY'>, 'GROUPING SETS': <TokenType.GROUPING_SETS: 'GROUPING_SETS'>, 'HAVING': <TokenType.HAVING: 'HAVING'>, 'ILIKE': <TokenType.ILIKE: 'ILIKE'>, 'IN': <TokenType.IN: 'IN'>, 'INDEX': <TokenType.INDEX: 'INDEX'>, 'INET': <TokenType.INET: 'INET'>, 'INNER': <TokenType.INNER: 'INNER'>, 'INSERT': <TokenType.INSERT: 'INSERT'>, 'INTERVAL': <TokenType.INTERVAL: 'INTERVAL'>, 'INTERSECT': <TokenType.INTERSECT: 'INTERSECT'>, 'INTO': <TokenType.INTO: 'INTO'>, 'IS': <TokenType.IS: 'IS'>, 'ISNULL': <TokenType.ISNULL: 'ISNULL'>, 'JOIN': <TokenType.JOIN: 'JOIN'>, 'KEEP': <TokenType.KEEP: 'KEEP'>, 'KILL': <TokenType.KILL: 'KILL'>, 'LATERAL': <TokenType.LATERAL: 'LATERAL'>, 'LEFT': <TokenType.LEFT: 'LEFT'>, 'LIKE': <TokenType.LIKE: 'LIKE'>, 'LIMIT': <TokenType.LIMIT: 'LIMIT'>, 'LOAD': <TokenType.LOAD: 'LOAD'>, 'LOCK': <TokenType.LOCK: 'LOCK'>, 'MERGE': <TokenType.MERGE: 'MERGE'>, 'NAMESPACE': <TokenType.NAMESPACE: 'NAMESPACE'>, 'NATURAL': <TokenType.NATURAL: 'NATURAL'>, 'NEXT': <TokenType.NEXT: 'NEXT'>, 'NOT': <TokenType.NOT: 'NOT'>, 'NOTNULL': <TokenType.NOTNULL: 'NOTNULL'>, 'NULL': <TokenType.NULL: 'NULL'>, 'OBJECT': <TokenType.OBJECT: 'OBJECT'>, 'OFFSET': <TokenType.OFFSET: 'OFFSET'>, 'ON': <TokenType.ON: 'ON'>, 'OR': <TokenType.OR: 'OR'>, 'XOR': <TokenType.XOR: 'XOR'>, 'ORDER BY': <TokenType.ORDER_BY: 'ORDER_BY'>, 'ORDINALITY': <TokenType.ORDINALITY: 'ORDINALITY'>, 'OUTER': <TokenType.OUTER: 'OUTER'>, 'OVER': <TokenType.OVER: 'OVER'>, 'OVERLAPS': <TokenType.OVERLAPS: 'OVERLAPS'>, 'OVERWRITE': <TokenType.OVERWRITE: 'OVERWRITE'>, 'PARTITION': <TokenType.PARTITION: 'PARTITION'>, 'PARTITION BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED_BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PERCENT': <TokenType.PERCENT: 'PERCENT'>, 'PIVOT': <TokenType.PIVOT: 'PIVOT'>, 'PRAGMA': <TokenType.PRAGMA: 'PRAGMA'>, 'PRIMARY KEY': <TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>, 'PROCEDURE': <TokenType.PROCEDURE: 'PROCEDURE'>, 'QUALIFY': <TokenType.QUALIFY: 'QUALIFY'>, 'RANGE': <TokenType.RANGE: 'RANGE'>, 'RECURSIVE': <TokenType.RECURSIVE: 'RECURSIVE'>, 'REGEXP': <TokenType.RLIKE: 'RLIKE'>, 'RENAME': <TokenType.RENAME: 'RENAME'>, 'REPLACE': <TokenType.REPLACE: 'REPLACE'>, 'RETURNING': <TokenType.RETURNING: 'RETURNING'>, 'REFERENCES': <TokenType.REFERENCES: 'REFERENCES'>, 'RIGHT': <TokenType.RIGHT: 'RIGHT'>, 'RLIKE': <TokenType.RLIKE: 'RLIKE'>, 'ROLLBACK': <TokenType.ROLLBACK: 'ROLLBACK'>, 'ROLLUP': <TokenType.ROLLUP: 'ROLLUP'>, 'ROW': <TokenType.ROW: 'ROW'>, 'ROWS': <TokenType.ROWS: 'ROWS'>, 'SCHEMA': <TokenType.SCHEMA: 'SCHEMA'>, 'SELECT': <TokenType.SELECT: 'SELECT'>, 'SEMI': <TokenType.SEMI: 'SEMI'>, 'SET': <TokenType.SET: 'SET'>, 'SETTINGS': <TokenType.SETTINGS: 'SETTINGS'>, 'SHOW': <TokenType.SHOW: 'SHOW'>, 'SIMILAR TO': <TokenType.SIMILAR_TO: 'SIMILAR_TO'>, 'SOME': <TokenType.SOME: 'SOME'>, 'SORT BY': <TokenType.SORT_BY: 'SORT_BY'>, 'START WITH': <TokenType.START_WITH: 'START_WITH'>, 'STRAIGHT_JOIN': <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, 'TABLE': <TokenType.TABLE: 'TABLE'>, 'TABLESAMPLE': <TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>, 'TEMP': <TokenType.TEMPORARY: 'TEMPORARY'>, 'TEMPORARY': <TokenType.TEMPORARY: 'TEMPORARY'>, 'THEN': <TokenType.THEN: 'THEN'>, 'TRUE': <TokenType.TRUE: 'TRUE'>, 'TRUNCATE': <TokenType.TRUNCATE: 'TRUNCATE'>, 'UNION': <TokenType.UNION: 'UNION'>, 'UNKNOWN': <TokenType.UNKNOWN: 'UNKNOWN'>, 'UNNEST': <TokenType.UNNEST: 'UNNEST'>, 'UNPIVOT': <TokenType.UNPIVOT: 'UNPIVOT'>, 'UPDATE': <TokenType.UPDATE: 'UPDATE'>, 'USE': <TokenType.USE: 'USE'>, 'USING': <TokenType.USING: 'USING'>, 'UUID': <TokenType.UUID: 'UUID'>, 'VALUES': <TokenType.VALUES: 'VALUES'>, 'VIEW': <TokenType.VIEW: 'VIEW'>, 'VOLATILE': <TokenType.VOLATILE: 'VOLATILE'>, 'WHEN': <TokenType.WHEN: 'WHEN'>, 'WHERE': <TokenType.WHERE: 'WHERE'>, 'WINDOW': <TokenType.WINDOW: 'WINDOW'>, 'WITH': <TokenType.WITH: 'WITH'>, 'APPLY': <TokenType.APPLY: 'APPLY'>, 'ARRAY': <TokenType.ARRAY: 'ARRAY'>, 'BIT': <TokenType.BIT: 'BIT'>, 'BOOL': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BOOLEAN': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BYTE': <TokenType.TINYINT: 'TINYINT'>, 'MEDIUMINT': <TokenType.MEDIUMINT: 'MEDIUMINT'>, 'INT1': <TokenType.TINYINT: 'TINYINT'>, 'TINYINT': <TokenType.UTINYINT: 'UTINYINT'>, 'INT16': <TokenType.SMALLINT: 'SMALLINT'>, 'SHORT': <TokenType.SMALLINT: 'SMALLINT'>, 'SMALLINT': <TokenType.SMALLINT: 'SMALLINT'>, 'HUGEINT': <TokenType.INT128: 'INT128'>, 'UHUGEINT': <TokenType.UINT128: 'UINT128'>, 'INT2': <TokenType.SMALLINT: 'SMALLINT'>, 'INTEGER': <TokenType.INT: 'INT'>, 'INT': <TokenType.INT: 'INT'>, 'INT4': <TokenType.INT: 'INT'>, 'INT32': <TokenType.INT: 'INT'>, 'INT64': <TokenType.BIGINT: 'BIGINT'>, 'INT128': <TokenType.INT128: 'INT128'>, 'INT256': <TokenType.INT256: 'INT256'>, 'LONG': <TokenType.BIGINT: 'BIGINT'>, 'BIGINT': <TokenType.BIGINT: 'BIGINT'>, 'INT8': <TokenType.TINYINT: 'TINYINT'>, 'UINT': <TokenType.UINT: 'UINT'>, 'UINT128': <TokenType.UINT128: 'UINT128'>, 'UINT256': <TokenType.UINT256: 'UINT256'>, 'DEC': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL32': <TokenType.DECIMAL32: 'DECIMAL32'>, 'DECIMAL64': <TokenType.DECIMAL64: 'DECIMAL64'>, 'DECIMAL128': <TokenType.DECIMAL128: 'DECIMAL128'>, 'DECIMAL256': <TokenType.DECIMAL256: 'DECIMAL256'>, 'BIGDECIMAL': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'BIGNUMERIC': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'LIST': <TokenType.LIST: 'LIST'>, 'MAP': <TokenType.MAP: 'MAP'>, 'NULLABLE': <TokenType.NULLABLE: 'NULLABLE'>, 'NUMBER': <TokenType.DECIMAL: 'DECIMAL'>, 'NUMERIC': <TokenType.DECIMAL: 'DECIMAL'>, 'FIXED': <TokenType.DECIMAL: 'DECIMAL'>, 'REAL': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT4': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT8': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE PRECISION': <TokenType.DOUBLE: 'DOUBLE'>, 'JSON': <TokenType.JSON: 'JSON'>, 'JSONB': <TokenType.JSONB: 'JSONB'>, 'CHAR': <TokenType.CHAR: 'CHAR'>, 'CHARACTER': <TokenType.CHAR: 'CHAR'>, 'CHAR VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'CHARACTER VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'NCHAR': <TokenType.NCHAR: 'NCHAR'>, 'VARCHAR': <TokenType.VARCHAR: 'VARCHAR'>, 'VARCHAR2': <TokenType.VARCHAR: 'VARCHAR'>, 'NVARCHAR': <TokenType.NVARCHAR: 'NVARCHAR'>, 'NVARCHAR2': <TokenType.NVARCHAR: 'NVARCHAR'>, 'BPCHAR': <TokenType.BPCHAR: 'BPCHAR'>, 'STR': <TokenType.TEXT: 'TEXT'>, 'STRING': <TokenType.TEXT: 'TEXT'>, 'TEXT': <TokenType.TEXT: 'TEXT'>, 'LONGTEXT': <TokenType.LONGTEXT: 'LONGTEXT'>, 'MEDIUMTEXT': <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, 'TINYTEXT': <TokenType.TINYTEXT: 'TINYTEXT'>, 'CLOB': <TokenType.TEXT: 'TEXT'>, 'LONGVARCHAR': <TokenType.TEXT: 'TEXT'>, 'BINARY': <TokenType.BINARY: 'BINARY'>, 'BLOB': <TokenType.VARBINARY: 'VARBINARY'>, 'LONGBLOB': <TokenType.LONGBLOB: 'LONGBLOB'>, 'MEDIUMBLOB': <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, 'TINYBLOB': <TokenType.TINYBLOB: 'TINYBLOB'>, 'BYTEA': <TokenType.VARBINARY: 'VARBINARY'>, 'VARBINARY': <TokenType.VARBINARY: 'VARBINARY'>, 'TIME': <TokenType.TIME: 'TIME'>, 'TIMETZ': <TokenType.TIMETZ: 'TIMETZ'>, 'TIMESTAMP': <TokenType.TIMESTAMP: 'TIMESTAMP'>, 'TIMESTAMPTZ': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPLTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMP_LTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMPNTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'TIMESTAMP_NTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'DATE': <TokenType.DATE: 'DATE'>, 'DATETIME': <TokenType.DATETIME: 'DATETIME'>, 'INT4RANGE': <TokenType.INT4RANGE: 'INT4RANGE'>, 'INT4MULTIRANGE': <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, 'INT8RANGE': <TokenType.INT8RANGE: 'INT8RANGE'>, 'INT8MULTIRANGE': <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, 'NUMRANGE': <TokenType.NUMRANGE: 'NUMRANGE'>, 'NUMMULTIRANGE': <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, 'TSRANGE': <TokenType.TSRANGE: 'TSRANGE'>, 'TSMULTIRANGE': <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, 'TSTZRANGE': <TokenType.TSTZRANGE: 'TSTZRANGE'>, 'TSTZMULTIRANGE': <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, 'DATERANGE': <TokenType.DATERANGE: 'DATERANGE'>, 'DATEMULTIRANGE': <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, 'UNIQUE': <TokenType.UNIQUE: 'UNIQUE'>, 'VECTOR': <TokenType.VECTOR: 'VECTOR'>, 'STRUCT': <TokenType.STRUCT: 'STRUCT'>, 'SEQUENCE': <TokenType.SEQUENCE: 'SEQUENCE'>, 'VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'ALTER': <TokenType.ALTER: 'ALTER'>, 'ANALYZE': <TokenType.ANALYZE: 'ANALYZE'>, 'CALL': <TokenType.COMMAND: 'COMMAND'>, 'COMMENT': <TokenType.COMMENT: 'COMMENT'>, 'EXPLAIN': <TokenType.COMMAND: 'COMMAND'>, 'GRANT': <TokenType.GRANT: 'GRANT'>, 'OPTIMIZE': <TokenType.COMMAND: 'COMMAND'>, 'PREPARE': <TokenType.COMMAND: 'COMMAND'>, 'VACUUM': <TokenType.COMMAND: 'COMMAND'>, 'USER-DEFINED': <TokenType.USERDEFINED: 'USERDEFINED'>, 'FOR VERSION': <TokenType.VERSION_SNAPSHOT: 'VERSION_SNAPSHOT'>, 'FOR TIMESTAMP': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, 'CLUSTERED INDEX': <TokenType.INDEX: 'INDEX'>, 'DATETIME2': <TokenType.DATETIME2: 'DATETIME2'>, 'DATETIMEOFFSET': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'DECLARE': <TokenType.DECLARE: 'DECLARE'>, 'EXEC': <TokenType.COMMAND: 'COMMAND'>, 'FOR SYSTEM_TIME': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, 'GO': <TokenType.COMMAND: 'COMMAND'>, 'IMAGE': <TokenType.IMAGE: 'IMAGE'>, 'MONEY': <TokenType.MONEY: 'MONEY'>, 'NONCLUSTERED INDEX': <TokenType.INDEX: 'INDEX'>, 'NTEXT': <TokenType.TEXT: 'TEXT'>, 'OPTION': <TokenType.OPTION: 'OPTION'>, 'OUTPUT': <TokenType.RETURNING: 'RETURNING'>, 'PRINT': <TokenType.COMMAND: 'COMMAND'>, 'PROC': <TokenType.PROCEDURE: 'PROCEDURE'>, 'ROWVERSION': <TokenType.ROWVERSION: 'ROWVERSION'>, 'SMALLDATETIME': <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, 'SMALLMONEY': <TokenType.SMALLMONEY: 'SMALLMONEY'>, 'SQL_VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'SYSTEM_USER': <TokenType.CURRENT_USER: 'CURRENT_USER'>, 'TOP': <TokenType.TOP: 'TOP'>, 'UNIQUEIDENTIFIER': <TokenType.UUID: 'UUID'>, 'UPDATE STATISTICS': <TokenType.COMMAND: 'COMMAND'>, 'XML': <TokenType.XML: 'XML'>, 'UTINYINT': <TokenType.UTINYINT: 'UTINYINT'>}

Inherited Members

sqlglot.tokens.Tokenizer: Tokenizer; SINGLE_TOKENS; BIT_STRINGS; BYTE_STRINGS; RAW_STRINGS; HEREDOC_STRINGS; UNICODE_STRINGS; STRING_ESCAPES; IDENTIFIER_ESCAPES; HEREDOC_TAG_IS_IDENTIFIER; HEREDOC_STRING_ALTERNATIVE; STRING_ESCAPES_ALLOWED_IN_RAW_STRINGS; NESTED_COMMENTS; HINT_START; TOKENS_PRECEDING_HINT; WHITE_SPACE; COMMAND_PREFIX_TOKENS; NUMERIC_LITERALS; COMMENTS; dialect; use_rs_tokenizer; reset; tokenize; tokenize_rs; size; sql; tokens
sqlglot.dialects.tsql.TSQL.Tokenizer: IDENTIFIERS; QUOTES; HEX_STRINGS; VAR_SINGLE_TOKENS; COMMANDS

class Fabric.Parser(sqlglot.dialects.tsql.TSQL.Parser): View Source

 85    class Parser(TSQL.Parser):
 86        def _parse_create(self) -> exp.Create | exp.Command:
 87            create = super()._parse_create()
 88
 89            if isinstance(create, exp.Create):
 90                # Transform VARCHAR/CHAR without precision to VARCHAR(1)/CHAR(1)
 91                if create.kind == "TABLE" and isinstance(create.this, exp.Schema):
 92                    for column in create.this.expressions:
 93                        if isinstance(column, exp.ColumnDef):
 94                            column_type = column.kind
 95                            if (
 96                                isinstance(column_type, exp.DataType)
 97                                and column_type.this
 98                                in (exp.DataType.Type.VARCHAR, exp.DataType.Type.CHAR)
 99                                and not column_type.expressions
100                            ):
101                                # Add default precision of 1 to VARCHAR/CHAR without precision
102                                # When n isn't specified in a data definition or variable declaration statement, the default length is 1.
103                                # https://learn.microsoft.com/en-us/sql/t-sql/data-types/char-and-varchar-transact-sql?view=sql-server-ver17#remarks
104                                column_type.set("expressions", [exp.Literal.number("1")])
105
106            return create

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

Arguments:

error_level: The desired error level. Default: ErrorLevel.IMMEDIATE
error_message_context: The amount of context to capture from a query string when displaying the error message (in number of characters). Default: 100
max_errors: Maximum number of error messages to include in a raised ParseError. This is only relevant if error_level is ErrorLevel.RAISE. Default: 3

ID_VAR_TOKENS = {<TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.PUT: 'PUT'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.LIST: 'LIST'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.BLOB: 'BLOB'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.DIV: 'DIV'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.ANTI: 'ANTI'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.COPY: 'COPY'>, <TokenType.UINT: 'UINT'>, <TokenType.TOP: 'TOP'>, <TokenType.FALSE: 'FALSE'>, <TokenType.TIME: 'TIME'>, <TokenType.INT: 'INT'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.TRUE: 'TRUE'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.NAME: 'NAME'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.SOME: 'SOME'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.DATE32: 'DATE32'>, <TokenType.VAR: 'VAR'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.USE: 'USE'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.MERGE: 'MERGE'>, <TokenType.POINT: 'POINT'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.ASC: 'ASC'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.BIT: 'BIT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.END: 'END'>, <TokenType.UUID: 'UUID'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.MODEL: 'MODEL'>, <TokenType.INDEX: 'INDEX'>, <TokenType.ANY: 'ANY'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.TAG: 'TAG'>, <TokenType.INT128: 'INT128'>, <TokenType.GET: 'GET'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.ASOF: 'ASOF'>, <TokenType.NULL: 'NULL'>, <TokenType.ENUM: 'ENUM'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.UINT128: 'UINT128'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.MONEY: 'MONEY'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.CUBE: 'CUBE'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.SHOW: 'SHOW'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.FULL: 'FULL'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.CHAR: 'CHAR'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.JSON: 'JSON'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.VOID: 'VOID'>, <TokenType.TABLE: 'TABLE'>, <TokenType.FINAL: 'FINAL'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.INT256: 'INT256'>, <TokenType.KILL: 'KILL'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.BINARY: 'BINARY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.UINT256: 'UINT256'>, <TokenType.SINK: 'SINK'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.RING: 'RING'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.ROW: 'ROW'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.LOAD: 'LOAD'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.IS: 'IS'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.TEXT: 'TEXT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.NEXT: 'NEXT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.DELETE: 'DELETE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.XML: 'XML'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.DESC: 'DESC'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DETACH: 'DETACH'>, <TokenType.DATE: 'DATE'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.APPLY: 'APPLY'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.LEFT: 'LEFT'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.ALL: 'ALL'>, <TokenType.KEEP: 'KEEP'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.SEMI: 'SEMI'>, <TokenType.CASE: 'CASE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.FILTER: 'FILTER'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.INET: 'INET'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.MAP: 'MAP'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.STAGE: 'STAGE'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.SET: 'SET'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.ROWS: 'ROWS'>, <TokenType.FIRST: 'FIRST'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.RENAME: 'RENAME'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.IPV4: 'IPV4'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.JSONB: 'JSONB'>, <TokenType.CACHE: 'CACHE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.TRUNCATE: 'TRUNCATE'>}

TABLE_ALIAS_TOKENS = {<TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.PUT: 'PUT'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.LIST: 'LIST'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.BLOB: 'BLOB'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.DIV: 'DIV'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.ANTI: 'ANTI'>, <TokenType.COPY: 'COPY'>, <TokenType.UINT: 'UINT'>, <TokenType.TOP: 'TOP'>, <TokenType.FALSE: 'FALSE'>, <TokenType.TIME: 'TIME'>, <TokenType.INT: 'INT'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.TRUE: 'TRUE'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.NAME: 'NAME'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.SOME: 'SOME'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.DATE32: 'DATE32'>, <TokenType.VAR: 'VAR'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.USE: 'USE'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.MERGE: 'MERGE'>, <TokenType.POINT: 'POINT'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.ASC: 'ASC'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.BIT: 'BIT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.END: 'END'>, <TokenType.UUID: 'UUID'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.MODEL: 'MODEL'>, <TokenType.INDEX: 'INDEX'>, <TokenType.ANY: 'ANY'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.TAG: 'TAG'>, <TokenType.INT128: 'INT128'>, <TokenType.GET: 'GET'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.NULL: 'NULL'>, <TokenType.ENUM: 'ENUM'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.UINT128: 'UINT128'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.MONEY: 'MONEY'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.CUBE: 'CUBE'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.SHOW: 'SHOW'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.CHAR: 'CHAR'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.JSON: 'JSON'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.VOID: 'VOID'>, <TokenType.TABLE: 'TABLE'>, <TokenType.FINAL: 'FINAL'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.INT256: 'INT256'>, <TokenType.KILL: 'KILL'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.BINARY: 'BINARY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.UINT256: 'UINT256'>, <TokenType.SINK: 'SINK'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.RING: 'RING'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.ROW: 'ROW'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.LOAD: 'LOAD'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.IS: 'IS'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.TEXT: 'TEXT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.NEXT: 'NEXT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.DELETE: 'DELETE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.XML: 'XML'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.DESC: 'DESC'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DETACH: 'DETACH'>, <TokenType.DATE: 'DATE'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.ALL: 'ALL'>, <TokenType.KEEP: 'KEEP'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.SEMI: 'SEMI'>, <TokenType.CASE: 'CASE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.FILTER: 'FILTER'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.INET: 'INET'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.MAP: 'MAP'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.STAGE: 'STAGE'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.SET: 'SET'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.ROWS: 'ROWS'>, <TokenType.FIRST: 'FIRST'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.RENAME: 'RENAME'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.IPV4: 'IPV4'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.JSONB: 'JSONB'>, <TokenType.CACHE: 'CACHE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.TRUNCATE: 'TRUNCATE'>}

SHOW_TRIE: Dict = {}

SET_TRIE: Dict = {'GLOBAL': {0: True}, 'LOCAL': {0: True}, 'SESSION': {0: True}, 'TRANSACTION': {0: True}}

Inherited Members

sqlglot.parser.Parser: Parser; NO_PAREN_FUNCTIONS; STRUCT_TYPE_TOKENS; NESTED_TYPE_TOKENS; ENUM_TYPE_TOKENS; AGGREGATE_TYPE_TOKENS; TYPE_TOKENS; SIGNED_TO_UNSIGNED_TYPE_TOKEN; SUBQUERY_PREDICATES; RESERVED_TOKENS; DB_CREATABLES; CREATABLES; ALTERABLES; COLON_PLACEHOLDER_TOKENS; ARRAY_CONSTRUCTORS; TRIM_TYPES; FUNC_TOKENS; CONJUNCTION; ASSIGNMENT; DISJUNCTION; EQUALITY; COMPARISON; BITWISE; TERM; FACTOR; EXPONENT; TIMES; TIMESTAMPS; SET_OPERATIONS; JOIN_METHODS; JOIN_SIDES; JOIN_KINDS; LAMBDAS; CAST_COLUMN_OPERATORS; EXPRESSION_PARSERS; UNARY_PARSERS; STRING_PARSERS; NUMERIC_PARSERS; PRIMARY_PARSERS; PLACEHOLDER_PARSERS; PIPE_SYNTAX_TRANSFORM_PARSERS; PROPERTY_PARSERS; CONSTRAINT_PARSERS; ALTER_PARSERS; ALTER_ALTER_PARSERS; SCHEMA_UNNAMED_CONSTRAINTS; INVALID_FUNC_NAME_TOKENS; FUNCTIONS_WITH_ALIASED_ARGS; KEY_VALUE_DEFINITIONS; FUNCTION_PARSERS; QUERY_MODIFIER_TOKENS; SET_PARSERS; SHOW_PARSERS; TYPE_LITERAL_PARSERS; TYPE_CONVERTERS; DDL_SELECT_TOKENS; PRE_VOLATILE_TOKENS; TRANSACTION_KIND; TRANSACTION_CHARACTERISTICS; CONFLICT_ACTIONS; CREATE_SEQUENCE; ISOLATED_LOADING_OPTIONS; USABLES; CAST_ACTIONS; SCHEMA_BINDING_OPTIONS; EXECUTE_AS_OPTIONS; KEY_CONSTRAINT_OPTIONS; WINDOW_EXCLUDE_OPTIONS; INSERT_ALTERNATIVES; CLONE_KEYWORDS; HISTORICAL_DATA_PREFIX; HISTORICAL_DATA_KIND; OPCLASS_FOLLOW_KEYWORDS; OPTYPE_FOLLOW_TOKENS; TABLE_INDEX_HINT_TOKENS; VIEW_ATTRIBUTES; WINDOW_ALIAS_TOKENS; WINDOW_BEFORE_PAREN_TOKENS; WINDOW_SIDES; JSON_KEY_VALUE_SEPARATOR_TOKENS; FETCH_TOKENS; ADD_CONSTRAINT_TOKENS; DISTINCT_TOKENS; NULL_TOKENS; UNNEST_OFFSET_ALIAS_TOKENS; SELECT_START_TOKENS; COPY_INTO_VARLEN_OPTIONS; IS_JSON_PREDICATE_KIND; ODBC_DATETIME_LITERALS; ON_CONDITION_TOKENS; PRIVILEGE_FOLLOW_TOKENS; DESCRIBE_STYLES; ANALYZE_STYLES; ANALYZE_EXPRESSION_PARSERS; PARTITION_KEYWORDS; AMBIGUOUS_ALIAS_TOKENS; OPERATION_MODIFIERS; RECURSIVE_CTE_SEARCH_KIND; MODIFIABLES; STRICT_CAST; PREFIXED_PIVOT_COLUMNS; IDENTIFY_PIVOT_STRINGS; TABLESAMPLE_CSV; DEFAULT_SAMPLING_METHOD; TRIM_PATTERN_FIRST; MODIFIERS_ATTACHED_TO_SET_OP; SET_OP_MODIFIERS; JSON_ARROWS_REQUIRE_JSON_TYPE; COLON_IS_VARIANT_EXTRACT; VALUES_FOLLOWED_BY_PAREN; SUPPORTS_IMPLICIT_UNNEST; INTERVAL_SPANS; SUPPORTS_PARTITION_SELECTION; WRAPPED_TRANSFORM_COLUMN_CONSTRAINT; OPTIONAL_ALIAS_TOKEN_CTE; ALTER_RENAME_REQUIRES_COLUMN; JOINS_HAVE_EQUAL_PRECEDENCE; ZONE_AWARE_TIMESTAMP_CONSTRUCTOR; MAP_KEYS_ARE_ARBITRARY_EXPRESSIONS; JSON_EXTRACT_REQUIRES_JSON_EXPRESSION; error_level; error_message_context; max_errors; dialect; reset; parse; parse_into; check_errors; raise_error; expression; validate_expression; parse_set_operation; build_cast; errors; sql
sqlglot.dialects.tsql.TSQL.Parser: SET_REQUIRES_ASSIGNMENT_DELIMITER; LOG_DEFAULTS_TO_LN; STRING_ALIASES; NO_PAREN_IF_COMMANDS; QUERY_MODIFIER_PARSERS; ALIAS_TOKENS; COMMENT_TABLE_ALIAS_TOKENS; UPDATE_ALIAS_TOKENS; FUNCTIONS; JOIN_HINTS; PROCEDURE_OPTIONS; COLUMN_DEFINITION_MODES; RETURNS_TABLE_TOKENS; STATEMENT_PARSERS; RANGE_PARSERS; NO_PAREN_FUNCTION_PARSERS; COLUMN_OPERATORS

class Fabric.Generator(sqlglot.dialects.tsql.TSQL.Generator): View Source

108    class Generator(TSQL.Generator):
109        # Fabric-specific type mappings - override T-SQL types that aren't supported
110        # Reference: https://learn.microsoft.com/en-us/fabric/data-warehouse/data-types
111        TYPE_MAPPING = {
112            **TSQL.Generator.TYPE_MAPPING,
113            exp.DataType.Type.DATETIME: "DATETIME2",
114            exp.DataType.Type.DECIMAL: "DECIMAL",
115            exp.DataType.Type.IMAGE: "VARBINARY",
116            exp.DataType.Type.INT: "INT",
117            exp.DataType.Type.JSON: "VARCHAR",
118            exp.DataType.Type.MONEY: "DECIMAL",
119            exp.DataType.Type.NCHAR: "CHAR",
120            exp.DataType.Type.NVARCHAR: "VARCHAR",
121            exp.DataType.Type.ROWVERSION: "ROWVERSION",
122            exp.DataType.Type.SMALLDATETIME: "DATETIME2",
123            exp.DataType.Type.SMALLMONEY: "DECIMAL",
124            exp.DataType.Type.TIMESTAMP: "DATETIME2",
125            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME2",
126            exp.DataType.Type.TIMESTAMPTZ: "DATETIME2",
127            exp.DataType.Type.TINYINT: "SMALLINT",
128            exp.DataType.Type.UTINYINT: "SMALLINT",
129            exp.DataType.Type.UUID: "VARBINARY(MAX)",
130            exp.DataType.Type.XML: "VARCHAR",
131        }
132
133        TRANSFORMS = {
134            **TSQL.Generator.TRANSFORMS,
135            exp.Create: transforms.preprocess([_add_default_precision_to_varchar]),
136        }
137
138        def datatype_sql(self, expression: exp.DataType) -> str:
139            # Check if this is a temporal type that needs precision handling. Fabric limits temporal
140            # types to max 6 digits precision. When no precision is specified, we default to 6 digits.
141            if (
142                expression.is_type(*exp.DataType.TEMPORAL_TYPES)
143                and expression.this != exp.DataType.Type.DATE
144            ):
145                # Create a new expression with the capped precision
146                expression = _cap_data_type_precision(expression)
147
148            return super().datatype_sql(expression)
149
150        def cast_sql(self, expression: exp.Cast, safe_prefix: str | None = None) -> str:
151            # Cast to DATETIMEOFFSET if inside an AT TIME ZONE expression
152            # https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
153            if expression.is_type(exp.DataType.Type.TIMESTAMPTZ):
154                at_time_zone = expression.find_ancestor(exp.AtTimeZone, exp.Select)
155
156                # Return normal cast, if the expression is not in an AT TIME ZONE context
157                if not isinstance(at_time_zone, exp.AtTimeZone):
158                    return super().cast_sql(expression, safe_prefix)
159
160                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
161                capped_data_type = _cap_data_type_precision(expression.to, max_precision=6)
162                precision = capped_data_type.find(exp.DataTypeParam)
163                precision_value = (
164                    precision.this.to_py() if precision and precision.this.is_int else 6
165                )
166
167                # Do the cast explicitly to bypass sqlglot's default handling
168                datetimeoffset = f"CAST({expression.this} AS DATETIMEOFFSET({precision_value}))"
169
170                return self.sql(datetimeoffset)
171
172            return super().cast_sql(expression, safe_prefix)
173
174        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
175            # Wrap the AT TIME ZONE expression in a cast to DATETIME2 if it contains a TIMESTAMPTZ
176            ## https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
177            timestamptz_cast = expression.find(exp.Cast)
178            if timestamptz_cast and timestamptz_cast.to.is_type(exp.DataType.Type.TIMESTAMPTZ):
179                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
180                data_type = timestamptz_cast.to
181                capped_data_type = _cap_data_type_precision(data_type, max_precision=6)
182                precision_param = capped_data_type.find(exp.DataTypeParam)
183                precision = precision_param.this.to_py() if precision_param else 6
184
185                # Generate the AT TIME ZONE expression (which will handle the inner cast conversion)
186                at_time_zone_sql = super().attimezone_sql(expression)
187
188                # Wrap it in an outer cast to DATETIME2
189                return f"CAST({at_time_zone_sql} AS DATETIME2({precision}))"
190
191            return super().attimezone_sql(expression)
192
193        def unixtotime_sql(self, expression: exp.UnixToTime) -> str:
194            scale = expression.args.get("scale")
195            timestamp = expression.this
196
197            if scale not in (None, exp.UnixToTime.SECONDS):
198                self.unsupported(f"UnixToTime scale {scale} is not supported by Fabric")
199                return ""
200
201            # Convert unix timestamp (seconds) to microseconds and round to avoid decimals
202            microseconds = timestamp * exp.Literal.number("1e6")
203            rounded = exp.func("round", microseconds, 0)
204            rounded_ms_as_bigint = exp.cast(rounded, exp.DataType.Type.BIGINT)
205
206            # Create the base datetime as '1970-01-01' cast to DATETIME2(6)
207            epoch_start = exp.cast("'1970-01-01'", "datetime2(6)", dialect="fabric")
208
209            dateadd = exp.DateAdd(
210                this=epoch_start,
211                expression=rounded_ms_as_bigint,
212                unit=exp.Literal.string("MICROSECONDS"),
213            )
214            return self.sql(dateadd)

Generator converts a given syntax tree to the corresponding SQL string.

Arguments:

pretty: Whether to format the produced SQL string. Default: False.
identify: Determines when an identifier should be quoted. Possible values are: False (default): Never quote, except in cases where it's mandatory by the dialect. True or 'always': Always quote. 'safe': Only quote identifiers that are case insensitive.
normalize: Whether to normalize identifiers to lowercase. Default: False.
pad: The pad size in a formatted string. For example, this affects the indentation of a projection in a query, relative to its nesting level. Default: 2.
indent: The indentation size in a formatted string. For example, this affects the indentation of subqueries and filters under a WHERE clause. Default: 2.
normalize_functions: How to normalize function names. Possible values are: "upper" or True (default): Convert names to uppercase. "lower": Convert names to lowercase. False: Disables function name normalization.
unsupported_level: Determines the generator's behavior when it encounters unsupported expressions. Default ErrorLevel.WARN.
max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError. This is only relevant if unsupported_level is ErrorLevel.RAISE. Default: 3
leading_comma: Whether the comma is leading or trailing in select expressions. This is only relevant when generating in pretty mode. Default: False
max_text_width: The max number of characters in a segment before creating new lines in pretty mode. The default is on the smaller end because the length only represents a segment and not the true line length. Default: 80
comments: Whether to preserve comments in the output SQL code. Default: True

TYPE_MAPPING = {<Type.DATETIME2: 'DATETIME2'>: 'DATETIME2', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.TINYTEXT: 'TINYTEXT'>: 'TEXT', <Type.BLOB: 'BLOB'>: 'VARBINARY', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.TINYBLOB: 'TINYBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.ROWVERSION: 'ROWVERSION'>: 'ROWVERSION', <Type.SMALLDATETIME: 'SMALLDATETIME'>: 'DATETIME2', <Type.BOOLEAN: 'BOOLEAN'>: 'BIT', <Type.DECIMAL: 'DECIMAL'>: 'DECIMAL', <Type.DOUBLE: 'DOUBLE'>: 'FLOAT', <Type.INT: 'INT'>: 'INT', <Type.TEXT: 'TEXT'>: 'VARCHAR(MAX)', <Type.TIMESTAMP: 'TIMESTAMP'>: 'DATETIME2', <Type.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>: 'DATETIME2', <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: 'DATETIME2', <Type.UTINYINT: 'UTINYINT'>: 'SMALLINT', <Type.VARIANT: 'VARIANT'>: 'SQL_VARIANT', <Type.UUID: 'UUID'>: 'VARBINARY(MAX)', <Type.DATETIME: 'DATETIME'>: 'DATETIME2', <Type.IMAGE: 'IMAGE'>: 'VARBINARY', <Type.JSON: 'JSON'>: 'VARCHAR', <Type.MONEY: 'MONEY'>: 'DECIMAL', <Type.NCHAR: 'NCHAR'>: 'CHAR', <Type.NVARCHAR: 'NVARCHAR'>: 'VARCHAR', <Type.SMALLMONEY: 'SMALLMONEY'>: 'DECIMAL', <Type.TINYINT: 'TINYINT'>: 'SMALLINT', <Type.XML: 'XML'>: 'VARCHAR'}

TRANSFORMS = {<class 'sqlglot.expressions.JSONPathKey'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathRoot'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathSubscript'>: <function <lambda>>, <class 'sqlglot.expressions.AllowedValuesProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeColumns'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeWith'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayContainsAll'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayOverlaps'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.BackupProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CaseSpecificColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CollateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CommentColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConnectByRoot'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConvertToCharset'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CredentialsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DateFormatColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DefaultColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DynamicProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EmptyProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EncodeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EnviromentProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EphemeralColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExcludeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Except'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExternalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Get'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.GlobalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.HeapProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IcebergProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InheritsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InlineLengthColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Intersect'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IntervalSpan'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Int64'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LanguageProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LocationProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LogProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.MaterializedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NonClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NotForReplicationColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnCommitProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnUpdateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Operator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OutputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PathColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionedByBucket'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionByTruncate'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PivotAny'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PositionalColumn'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ProjectionPolicyColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Put'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SampleProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecureProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetConfigProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SettingsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SharingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StabilityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Stream'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StreamingTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StrictProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SwapTable'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TableColumn'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Tags'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TemporaryProperty'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.TitleColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransformModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransientProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Union'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UnloggedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingData'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Uuid'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.UppercaseColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VolatileProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithProcedureOptions'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithOperator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ForceProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnyValue'>: <function any_value_to_max_sql>, <class 'sqlglot.expressions.ArrayToString'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.AutoIncrementColumnConstraint'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.Chr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateAdd'>: <function date_delta_sql.<locals>._delta_sql>, <class 'sqlglot.expressions.DateDiff'>: <function date_delta_sql.<locals>._delta_sql>, <class 'sqlglot.expressions.CTE'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.CurrentDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestampLTZ'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <function datestrtodate_sql>, <class 'sqlglot.expressions.Extract'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.GeneratedAsIdentityColumnConstraint'>: <function generatedasidentitycolumnconstraint_sql>, <class 'sqlglot.expressions.GroupConcat'>: <function _string_agg_sql>, <class 'sqlglot.expressions.If'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function _json_extract_sql>, <class 'sqlglot.expressions.LastDay'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Max'>: <function max_or_greatest>, <class 'sqlglot.expressions.MD5'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.Min'>: <function min_or_least>, <class 'sqlglot.expressions.NumberToStr'>: <function _format_sql>, <class 'sqlglot.expressions.Repeat'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentSchema'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Select'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.Stddev'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.Subquery'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.SHA'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.SHA2'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function _timestrtotime_sql>, <class 'sqlglot.expressions.TimeToStr'>: <function _format_sql>, <class 'sqlglot.expressions.Trim'>: <function trim_sql>, <class 'sqlglot.expressions.TsOrDsAdd'>: <function date_delta_sql.<locals>._delta_sql>, <class 'sqlglot.expressions.TsOrDsDiff'>: <function date_delta_sql.<locals>._delta_sql>, <class 'sqlglot.expressions.TimestampTrunc'>: <function TSQL.Generator.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Create'>: <function preprocess.<locals>._to_sql>}

def datatype_sql(self, expression: sqlglot.expressions.DataType) -> str: View Source

138        def datatype_sql(self, expression: exp.DataType) -> str:
139            # Check if this is a temporal type that needs precision handling. Fabric limits temporal
140            # types to max 6 digits precision. When no precision is specified, we default to 6 digits.
141            if (
142                expression.is_type(*exp.DataType.TEMPORAL_TYPES)
143                and expression.this != exp.DataType.Type.DATE
144            ):
145                # Create a new expression with the capped precision
146                expression = _cap_data_type_precision(expression)
147
148            return super().datatype_sql(expression)

def cast_sql( self, expression: sqlglot.expressions.Cast, safe_prefix: str | None = None) -> str: View Source

150        def cast_sql(self, expression: exp.Cast, safe_prefix: str | None = None) -> str:
151            # Cast to DATETIMEOFFSET if inside an AT TIME ZONE expression
152            # https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
153            if expression.is_type(exp.DataType.Type.TIMESTAMPTZ):
154                at_time_zone = expression.find_ancestor(exp.AtTimeZone, exp.Select)
155
156                # Return normal cast, if the expression is not in an AT TIME ZONE context
157                if not isinstance(at_time_zone, exp.AtTimeZone):
158                    return super().cast_sql(expression, safe_prefix)
159
160                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
161                capped_data_type = _cap_data_type_precision(expression.to, max_precision=6)
162                precision = capped_data_type.find(exp.DataTypeParam)
163                precision_value = (
164                    precision.this.to_py() if precision and precision.this.is_int else 6
165                )
166
167                # Do the cast explicitly to bypass sqlglot's default handling
168                datetimeoffset = f"CAST({expression.this} AS DATETIMEOFFSET({precision_value}))"
169
170                return self.sql(datetimeoffset)
171
172            return super().cast_sql(expression, safe_prefix)

def attimezone_sql(self, expression: sqlglot.expressions.AtTimeZone) -> str: View Source

174        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
175            # Wrap the AT TIME ZONE expression in a cast to DATETIME2 if it contains a TIMESTAMPTZ
176            ## https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql#microsoft-fabric-support
177            timestamptz_cast = expression.find(exp.Cast)
178            if timestamptz_cast and timestamptz_cast.to.is_type(exp.DataType.Type.TIMESTAMPTZ):
179                # Get the precision from the original TIMESTAMPTZ cast and cap it to 6
180                data_type = timestamptz_cast.to
181                capped_data_type = _cap_data_type_precision(data_type, max_precision=6)
182                precision_param = capped_data_type.find(exp.DataTypeParam)
183                precision = precision_param.this.to_py() if precision_param else 6
184
185                # Generate the AT TIME ZONE expression (which will handle the inner cast conversion)
186                at_time_zone_sql = super().attimezone_sql(expression)
187
188                # Wrap it in an outer cast to DATETIME2
189                return f"CAST({at_time_zone_sql} AS DATETIME2({precision}))"
190
191            return super().attimezone_sql(expression)

def unixtotime_sql(self, expression: sqlglot.expressions.UnixToTime) -> str: View Source

193        def unixtotime_sql(self, expression: exp.UnixToTime) -> str:
194            scale = expression.args.get("scale")
195            timestamp = expression.this
196
197            if scale not in (None, exp.UnixToTime.SECONDS):
198                self.unsupported(f"UnixToTime scale {scale} is not supported by Fabric")
199                return ""
200
201            # Convert unix timestamp (seconds) to microseconds and round to avoid decimals
202            microseconds = timestamp * exp.Literal.number("1e6")
203            rounded = exp.func("round", microseconds, 0)
204            rounded_ms_as_bigint = exp.cast(rounded, exp.DataType.Type.BIGINT)
205
206            # Create the base datetime as '1970-01-01' cast to DATETIME2(6)
207            epoch_start = exp.cast("'1970-01-01'", "datetime2(6)", dialect="fabric")
208
209            dateadd = exp.DateAdd(
210                this=epoch_start,
211                expression=rounded_ms_as_bigint,
212                unit=exp.Literal.string("MICROSECONDS"),
213            )
214            return self.sql(dateadd)

SELECT_KINDS: Tuple[str, ...] = ()

TRY_SUPPORTED = False

SUPPORTS_UESCAPE = False

SUPPORTS_DECODE_CASE = False

AFTER_HAVING_MODIFIER_TRANSFORMS = {'windows': <function Generator.<lambda>>, 'qualify': <function Generator.<lambda>>}

Inherited Members

sqlglot.generator.Generator: Generator; IGNORE_NULLS_IN_FUNC; LOCKING_READS_SUPPORTED; WRAP_DERIVED_VALUES; CREATE_FUNCTION_RETURN_AS; MATCHED_BY_SOURCE; SINGLE_STRING_INTERVAL; INTERVAL_ALLOWS_PLURAL_FORM; LIMIT_ONLY_LITERALS; RENAME_TABLE_WITH_DB; GROUPINGS_SEP; INDEX_ON; JOIN_HINTS; TABLE_HINTS; QUERY_HINT_SEP; IS_BOOL_ALLOWED; DUPLICATE_KEY_UPDATE_WITH_SET; EXTRACT_ALLOWS_QUOTES; TZ_TO_WITH_TIME_ZONE; VALUES_AS_TABLE; UNNEST_WITH_ORDINALITY; AGGREGATE_FILTER_SUPPORTED; SEMI_ANTI_JOIN_WITH_SIDE; SUPPORTS_TABLE_COPY; TABLESAMPLE_REQUIRES_PARENS; TABLESAMPLE_SIZE_IS_ROWS; TABLESAMPLE_KEYWORDS; TABLESAMPLE_WITH_METHOD; COLLATE_IS_FUNC; DATA_TYPE_SPECIFIERS_ALLOWED; LAST_DAY_SUPPORTS_DATE_PART; SUPPORTS_TABLE_ALIAS_COLUMNS; UNPIVOT_ALIASES_ARE_IDENTIFIERS; JSON_KEY_VALUE_PAIR_SEP; INSERT_OVERWRITE; SUPPORTS_UNLOGGED_TABLES; SUPPORTS_CREATE_TABLE_LIKE; LIKE_PROPERTY_INSIDE_SCHEMA; MULTI_ARG_DISTINCT; JSON_TYPE_REQUIRED_FOR_EXTRACTION; JSON_PATH_SINGLE_QUOTE_ESCAPE; CAN_IMPLEMENT_ARRAY_ANY; SUPPORTS_WINDOW_EXCLUDE; COPY_PARAMS_ARE_WRAPPED; COPY_HAS_INTO_KEYWORD; STAR_EXCEPT; HEX_FUNC; WITH_PROPERTIES_PREFIX; QUOTE_JSON_PATH; PAD_FILL_PATTERN_IS_REQUIRED; SUPPORTS_EXPLODING_PROJECTIONS; ARRAY_CONCAT_IS_VAR_LEN; SUPPORTS_CONVERT_TIMEZONE; SUPPORTS_MEDIAN; SUPPORTS_UNIX_SECONDS; NORMALIZE_EXTRACT_DATE_PARTS; ARRAY_SIZE_NAME; ARRAY_SIZE_DIM_REQUIRED; SUPPORTS_BETWEEN_FLAGS; SUPPORTS_LIKE_QUANTIFIERS; TIME_PART_SINGULARS; TOKEN_MAPPING; STRUCT_DELIMITER; PARAMETER_TOKEN; NAMED_PLACEHOLDER_TOKEN; EXPRESSION_PRECEDES_PROPERTIES_CREATABLES; RESERVED_KEYWORDS; WITH_SEPARATED_COMMENTS; EXCLUDE_COMMENTS; UNWRAPPED_INTERVAL_VALUES; PARAMETERIZABLE_TEXT_TYPES; RESPECT_IGNORE_NULLS_UNSUPPORTED_EXPRESSIONS; SENTINEL_LINE_BREAK; pretty; identify; normalize; pad; unsupported_level; max_unsupported; leading_comma; max_text_width; comments; dialect; normalize_functions; unsupported_messages; generate; preprocess; unsupported; sep; seg; sanitize_comment; maybe_comment; wrap; no_identify; normalize_func; indent; sql; uncache_sql; cache_sql; characterset_sql; column_parts; column_sql; columnposition_sql; columnconstraint_sql; computedcolumnconstraint_sql; autoincrementcolumnconstraint_sql; compresscolumnconstraint_sql; generatedasidentitycolumnconstraint_sql; generatedasrowcolumnconstraint_sql; periodforsystemtimeconstraint_sql; notnullcolumnconstraint_sql; primarykeycolumnconstraint_sql; uniquecolumnconstraint_sql; sequenceproperties_sql; clone_sql; describe_sql; heredoc_sql; prepend_ctes; with_sql; cte_sql; tablealias_sql; bitstring_sql; hexstring_sql; bytestring_sql; unicodestring_sql; rawstring_sql; datatypeparam_sql; directory_sql; delete_sql; set_operation; set_operations; fetch_sql; limitoptions_sql; filter_sql; hint_sql; indexparameters_sql; index_sql; hex_sql; lowerhex_sql; inputoutputformat_sql; national_sql; properties_sql; root_properties; properties; with_properties; locate_properties; property_name; property_sql; likeproperty_sql; fallbackproperty_sql; journalproperty_sql; freespaceproperty_sql; checksumproperty_sql; mergeblockratioproperty_sql; datablocksizeproperty_sql; blockcompressionproperty_sql; isolatedloadingproperty_sql; partitionboundspec_sql; partitionedofproperty_sql; lockingproperty_sql; withdataproperty_sql; withsystemversioningproperty_sql; insert_sql; introducer_sql; kill_sql; pseudotype_sql; objectidentifier_sql; onconflict_sql; rowformatdelimitedproperty_sql; withtablehint_sql; indextablehint_sql; historicaldata_sql; table_parts; table_sql; tablefromrows_sql; tablesample_sql; pivot_sql; tuple_sql; update_sql; values_sql; var_sql; from_sql; groupingsets_sql; rollup_sql; cube_sql; group_sql; having_sql; connect_sql; prior_sql; join_sql; lambda_sql; lateral_sql; limit_sql; set_sql; pragma_sql; lock_sql; literal_sql; escape_str; loaddata_sql; null_sql; order_sql; withfill_sql; cluster_sql; distribute_sql; sort_sql; ordered_sql; matchrecognizemeasure_sql; matchrecognize_sql; query_modifiers; for_modifiers; offset_limit_modifiers; after_limit_modifiers; schema_sql; schema_columns_sql; star_sql; parameter_sql; sessionparameter_sql; placeholder_sql; subquery_sql; qualify_sql; unnest_sql; prewhere_sql; where_sql; window_sql; partition_by_sql; windowspec_sql; withingroup_sql; between_sql; bracket_offset_expressions; bracket_sql; all_sql; any_sql; exists_sql; case_sql; nextvaluefor_sql; extract_sql; trim_sql; convert_concat_args; concat_sql; concatws_sql; check_sql; foreignkey_sql; primarykey_sql; if_sql; matchagainst_sql; jsonkeyvalue_sql; jsonpath_sql; json_path_part; formatjson_sql; formatphrase_sql; jsonobject_sql; jsonobjectagg_sql; jsonarray_sql; jsonarrayagg_sql; jsoncolumndef_sql; jsonschema_sql; jsontable_sql; openjsoncolumndef_sql; openjson_sql; in_sql; in_unnest_op; interval_sql; return_sql; reference_sql; anonymous_sql; paren_sql; neg_sql; not_sql; alias_sql; pivotalias_sql; aliases_sql; atindex_sql; fromtimezone_sql; add_sql; and_sql; or_sql; xor_sql; connector_sql; bitwiseand_sql; bitwiseleftshift_sql; bitwisenot_sql; bitwiseor_sql; bitwiserightshift_sql; bitwisexor_sql; currentdate_sql; collate_sql; command_sql; comment_sql; mergetreettlaction_sql; mergetreettl_sql; altercolumn_sql; alterindex_sql; alterdiststyle_sql; altersortkey_sql; alterrename_sql; renamecolumn_sql; alterset_sql; add_column_sql; droppartition_sql; addconstraint_sql; addpartition_sql; distinct_sql; ignorenulls_sql; respectnulls_sql; havingmax_sql; intdiv_sql; div_sql; safedivide_sql; overlaps_sql; distance_sql; dot_sql; eq_sql; propertyeq_sql; escape_sql; glob_sql; gt_sql; gte_sql; like_sql; ilike_sql; similarto_sql; lt_sql; lte_sql; mod_sql; mul_sql; neq_sql; nullsafeeq_sql; nullsafeneq_sql; slice_sql; sub_sql; trycast_sql; jsoncast_sql; try_sql; log_sql; use_sql; binary; ceil_floor; function_fallback_sql; func; format_args; too_wide; format_time; expressions; op_expressions; naked_property; tag_sql; token_sql; userdefinedfunction_sql; joinhint_sql; kwarg_sql; when_sql; whens_sql; merge_sql; tochar_sql; tonumber_sql; dictproperty_sql; dictrange_sql; dictsubproperty_sql; duplicatekeyproperty_sql; uniquekeyproperty_sql; distributedbyproperty_sql; oncluster_sql; clusteredbyproperty_sql; anyvalue_sql; querytransform_sql; indexconstraintoption_sql; checkcolumnconstraint_sql; indexcolumnconstraint_sql; nvl2_sql; comprehension_sql; columnprefix_sql; opclass_sql; predict_sql; forin_sql; refresh_sql; toarray_sql; tsordstotime_sql; tsordstotimestamp_sql; tsordstodatetime_sql; tsordstodate_sql; unixdate_sql; lastday_sql; dateadd_sql; arrayany_sql; struct_sql; partitionrange_sql; truncatetable_sql; copyparameter_sql; credentials_sql; copy_sql; semicolon_sql; datadeletionproperty_sql; maskingpolicycolumnconstraint_sql; gapfill_sql; scoperesolution_sql; parsejson_sql; rand_sql; changes_sql; pad_sql; summarize_sql; explodinggenerateseries_sql; arrayconcat_sql; converttimezone_sql; json_sql; jsonvalue_sql; conditionalinsert_sql; multitableinserts_sql; oncondition_sql; jsonextractquote_sql; jsonexists_sql; arrayagg_sql; apply_sql; grant_sql; grantprivilege_sql; grantprincipal_sql; columns_sql; overlay_sql; todouble_sql; string_sql; median_sql; overflowtruncatebehavior_sql; unixseconds_sql; arraysize_sql; attach_sql; detach_sql; attachoption_sql; featuresattime_sql; watermarkcolumnconstraint_sql; encodeproperty_sql; includeproperty_sql; xmlelement_sql; xmlkeyvalueoption_sql; partitionbyrangeproperty_sql; partitionbyrangepropertydynamic_sql; unpivotcolumns_sql; analyzesample_sql; analyzestatistics_sql; analyzehistogram_sql; analyzedelete_sql; analyzelistchainedrows_sql; analyzevalidate_sql; analyze_sql; xmltable_sql; xmlnamespace_sql; export_sql; declare_sql; declareitem_sql; recursivewithsearch_sql; parameterizedagg_sql; anonymousaggfunc_sql; combinedaggfunc_sql; combinedparameterizedagg_sql; show_sql; get_put_sql; translatecharacters_sql; decodecase_sql; semanticview_sql; getextract_sql
sqlglot.dialects.tsql.TSQL.Generator: LIMIT_IS_TOP; QUERY_HINTS; RETURNING_END; NVL2_SUPPORTED; ALTER_TABLE_INCLUDE_COLUMN_KEYWORD; LIMIT_FETCH; COMPUTED_COLUMN_WITH_TYPE; CTE_RECURSIVE_KEYWORD_REQUIRED; ENSURE_BOOLS; NULL_ORDERING_SUPPORTED; SUPPORTS_SINGLE_ARG_CONCAT; TABLESAMPLE_SEED_KEYWORD; SUPPORTS_SELECT_INTO; JSON_PATH_BRACKETED_KEY_SUPPORTED; SUPPORTS_TO_NUMBER; SET_OP_MODIFIERS; COPY_PARAMS_EQ_REQUIRED; PARSE_JSON_NAME; EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE; ALTER_SET_WRAPPED; ALTER_SET_TYPE; EXPRESSIONS_WITHOUT_NESTED_CTES; SUPPORTED_JSON_PATH_PARTS; PROPERTIES_LOCATION; scope_resolution; select_sql; convert_sql; queryoption_sql; lateral_op; splitpart_sql; timefromparts_sql; timestampfromparts_sql; setitem_sql; boolean_sql; is_sql; createable_sql; create_sql; into_sql; count_sql; offset_sql; version_sql; returnsproperty_sql; returning_sql; transaction_sql; commit_sql; rollback_sql; identifier_sql; constraint_sql; length_sql; right_sql; left_sql; partition_sql; alter_sql; drop_sql; options_modifier; dpipe_sql; isascii_sql; columndef_sql; coalesce_sql