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sqlglot.dialects.snowflake

  1from __future__ import annotations
  2
  3from sqlglot import exp, jsonpath, tokens
  4from sqlglot.dialects.dialect import (
  5    Dialect,
  6    NormalizationStrategy,
  7)
  8from sqlglot.generators.snowflake import SnowflakeGenerator
  9from sqlglot.parsers.snowflake import (
 10    SnowflakeParser,
 11)
 12from sqlglot.tokens import TokenType
 13from sqlglot.typing.snowflake import EXPRESSION_METADATA
 14
 15
 16class Snowflake(Dialect):
 17    # https://docs.snowflake.com/en/sql-reference/identifiers-syntax
 18    NORMALIZATION_STRATEGY = NormalizationStrategy.UPPERCASE
 19    NULL_ORDERING = "nulls_are_large"
 20    TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
 21    SUPPORTS_USER_DEFINED_TYPES = False
 22    PREFER_CTE_ALIAS_COLUMN = True
 23    TABLESAMPLE_SIZE_IS_PERCENT = True
 24    COPY_PARAMS_ARE_CSV = False
 25    ARRAY_AGG_INCLUDES_NULLS = None
 26    ARRAY_FUNCS_PROPAGATES_NULLS = True
 27    ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN = False
 28    TRY_CAST_REQUIRES_STRING = True
 29    SUPPORTS_ALIAS_REFS_IN_JOIN_CONDITIONS = True
 30    LEAST_GREATEST_IGNORES_NULLS = False
 31
 32    EXPRESSION_METADATA = EXPRESSION_METADATA.copy()
 33
 34    # https://docs.snowflake.com/en/en/sql-reference/functions/initcap
 35    INITCAP_DEFAULT_DELIMITER_CHARS = ' \t\n\r\f\v!?@"^#$&~_,.:;+\\-*%/|\\[\\](){}<>'
 36
 37    INVERSE_TIME_MAPPING = {
 38        "T": "T",  # in TIME_MAPPING we map '"T"' with the double quotes to 'T', and we want to prevent 'T' from being mapped back to '"T"' so that 'AUTO' doesn't become 'AU"T"O'
 39    }
 40
 41    TIME_MAPPING = {
 42        "YYYY": "%Y",
 43        "yyyy": "%Y",
 44        "YY": "%y",
 45        "yy": "%y",
 46        "MMMM": "%B",
 47        "mmmm": "%B",
 48        "MON": "%b",
 49        "mon": "%b",
 50        "MM": "%m",
 51        "mm": "%m",
 52        "DD": "%d",
 53        "dd": "%-d",
 54        "DY": "%a",
 55        "dy": "%w",
 56        "HH24": "%H",
 57        "hh24": "%H",
 58        "HH12": "%I",
 59        "hh12": "%I",
 60        "MI": "%M",
 61        "mi": "%M",
 62        "SS": "%S",
 63        "ss": "%S",
 64        "FF": "%f_nine",  # %f_ internal representation with precision specified
 65        "ff": "%f_nine",
 66        "FF0": "%f_zero",
 67        "ff0": "%f_zero",
 68        "FF1": "%f_one",
 69        "ff1": "%f_one",
 70        "FF2": "%f_two",
 71        "ff2": "%f_two",
 72        "FF3": "%f_three",
 73        "ff3": "%f_three",
 74        "FF4": "%f_four",
 75        "ff4": "%f_four",
 76        "FF5": "%f_five",
 77        "ff5": "%f_five",
 78        "FF6": "%f",
 79        "ff6": "%f",
 80        "FF7": "%f_seven",
 81        "ff7": "%f_seven",
 82        "FF8": "%f_eight",
 83        "ff8": "%f_eight",
 84        "FF9": "%f_nine",
 85        "ff9": "%f_nine",
 86        "TZHTZM": "%z",
 87        "tzhtzm": "%z",
 88        "TZH:TZM": "%:z",  # internal representation for ±HH:MM
 89        "tzh:tzm": "%:z",
 90        "TZH": "%-z",  # internal representation ±HH
 91        "tzh": "%-z",
 92        '"T"': "T",  # remove the optional double quotes around the separator between the date and time
 93        # Seems like Snowflake treats AM/PM in the format string as equivalent,
 94        # only the time (stamp) value's AM/PM affects the output
 95        "AM": "%p",
 96        "am": "%p",
 97        "PM": "%p",
 98        "pm": "%p",
 99    }
100
101    DATE_PART_MAPPING = {
102        **Dialect.DATE_PART_MAPPING,
103        "ISOWEEK": "WEEKISO",
104        # The base Dialect maps EPOCH_SECOND -> EPOCH, but we need to preserve
105        # EPOCH_SECOND as a distinct value for two reasons:
106        # 1. Type annotation: EPOCH_SECOND returns BIGINT, while EPOCH returns DOUBLE
107        # 2. Transpilation: DuckDB's EPOCH() returns float, so we cast EPOCH_SECOND
108        #    to BIGINT to match Snowflake's integer behavior
109        # Without this override, EXTRACT(EPOCH_SECOND FROM ts) would be normalized
110        # to EXTRACT(EPOCH FROM ts) and lose the integer semantics.
111        "EPOCH_SECOND": "EPOCH_SECOND",
112        "EPOCH_SECONDS": "EPOCH_SECOND",
113    }
114
115    PSEUDOCOLUMNS = {"LEVEL"}
116
117    def can_quote(self, identifier: exp.Identifier, identify: str | bool = "safe") -> bool:
118        # This disables quoting DUAL in SELECT ... FROM DUAL, because Snowflake treats an
119        # unquoted DUAL keyword in a special way and does not map it to a user-defined table
120        return super().can_quote(identifier, identify) and not (
121            isinstance(identifier.parent, exp.Table)
122            and not identifier.quoted
123            and identifier.name.lower() == "dual"
124        )
125
126    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
127        SINGLE_TOKENS = jsonpath.JSONPathTokenizer.SINGLE_TOKENS.copy()
128        SINGLE_TOKENS.pop("$")
129
130    Parser = SnowflakeParser
131
132    class Tokenizer(tokens.Tokenizer):
133        STRING_ESCAPES = ["\\", "'"]
134        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
135        RAW_STRINGS = ["$$"]
136        COMMENTS = ["--", "//", ("/*", "*/")]
137        NESTED_COMMENTS = False
138
139        KEYWORDS = {
140            **tokens.Tokenizer.KEYWORDS,
141            "BYTEINT": TokenType.INT,
142            "FILE://": TokenType.URI_START,
143            "FILE FORMAT": TokenType.FILE_FORMAT,
144            "GET": TokenType.GET,
145            "INTEGRATION": TokenType.INTEGRATION,
146            "MATCH_CONDITION": TokenType.MATCH_CONDITION,
147            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
148            "MINUS": TokenType.EXCEPT,
149            "NCHAR VARYING": TokenType.VARCHAR,
150            "PACKAGE": TokenType.PACKAGE,
151            "POLICY": TokenType.POLICY,
152            "POOL": TokenType.POOL,
153            "PUT": TokenType.PUT,
154            "REMOVE": TokenType.COMMAND,
155            "RM": TokenType.COMMAND,
156            "ROLE": TokenType.ROLE,
157            "RULE": TokenType.RULE,
158            "SAMPLE": TokenType.TABLE_SAMPLE,
159            "SEMANTIC VIEW": TokenType.SEMANTIC_VIEW,
160            "SQL_DOUBLE": TokenType.DOUBLE,
161            "SQL_VARCHAR": TokenType.VARCHAR,
162            "STAGE": TokenType.STAGE,
163            "STORAGE INTEGRATION": TokenType.STORAGE_INTEGRATION,
164            "STREAMLIT": TokenType.STREAMLIT,
165            "TAG": TokenType.TAG,
166            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
167            "TOP": TokenType.TOP,
168            "VOLUME": TokenType.VOLUME,
169            "WAREHOUSE": TokenType.WAREHOUSE,
170            # https://docs.snowflake.com/en/sql-reference/data-types-numeric#float
171            # FLOAT is a synonym for DOUBLE in Snowflake
172            "FLOAT": TokenType.DOUBLE,
173        }
174        KEYWORDS.pop("/*+")
175
176        SINGLE_TOKENS = {
177            **tokens.Tokenizer.SINGLE_TOKENS,
178            "$": TokenType.PARAMETER,
179            "!": TokenType.EXCLAMATION,
180        }
181
182        VAR_SINGLE_TOKENS = {"$"}
183
184        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
185
186    Generator = SnowflakeGenerator
class Snowflake(sqlglot.dialects.dialect.Dialect):
 17class Snowflake(Dialect):
 18    # https://docs.snowflake.com/en/sql-reference/identifiers-syntax
 19    NORMALIZATION_STRATEGY = NormalizationStrategy.UPPERCASE
 20    NULL_ORDERING = "nulls_are_large"
 21    TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
 22    SUPPORTS_USER_DEFINED_TYPES = False
 23    PREFER_CTE_ALIAS_COLUMN = True
 24    TABLESAMPLE_SIZE_IS_PERCENT = True
 25    COPY_PARAMS_ARE_CSV = False
 26    ARRAY_AGG_INCLUDES_NULLS = None
 27    ARRAY_FUNCS_PROPAGATES_NULLS = True
 28    ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN = False
 29    TRY_CAST_REQUIRES_STRING = True
 30    SUPPORTS_ALIAS_REFS_IN_JOIN_CONDITIONS = True
 31    LEAST_GREATEST_IGNORES_NULLS = False
 32
 33    EXPRESSION_METADATA = EXPRESSION_METADATA.copy()
 34
 35    # https://docs.snowflake.com/en/en/sql-reference/functions/initcap
 36    INITCAP_DEFAULT_DELIMITER_CHARS = ' \t\n\r\f\v!?@"^#$&~_,.:;+\\-*%/|\\[\\](){}<>'
 37
 38    INVERSE_TIME_MAPPING = {
 39        "T": "T",  # in TIME_MAPPING we map '"T"' with the double quotes to 'T', and we want to prevent 'T' from being mapped back to '"T"' so that 'AUTO' doesn't become 'AU"T"O'
 40    }
 41
 42    TIME_MAPPING = {
 43        "YYYY": "%Y",
 44        "yyyy": "%Y",
 45        "YY": "%y",
 46        "yy": "%y",
 47        "MMMM": "%B",
 48        "mmmm": "%B",
 49        "MON": "%b",
 50        "mon": "%b",
 51        "MM": "%m",
 52        "mm": "%m",
 53        "DD": "%d",
 54        "dd": "%-d",
 55        "DY": "%a",
 56        "dy": "%w",
 57        "HH24": "%H",
 58        "hh24": "%H",
 59        "HH12": "%I",
 60        "hh12": "%I",
 61        "MI": "%M",
 62        "mi": "%M",
 63        "SS": "%S",
 64        "ss": "%S",
 65        "FF": "%f_nine",  # %f_ internal representation with precision specified
 66        "ff": "%f_nine",
 67        "FF0": "%f_zero",
 68        "ff0": "%f_zero",
 69        "FF1": "%f_one",
 70        "ff1": "%f_one",
 71        "FF2": "%f_two",
 72        "ff2": "%f_two",
 73        "FF3": "%f_three",
 74        "ff3": "%f_three",
 75        "FF4": "%f_four",
 76        "ff4": "%f_four",
 77        "FF5": "%f_five",
 78        "ff5": "%f_five",
 79        "FF6": "%f",
 80        "ff6": "%f",
 81        "FF7": "%f_seven",
 82        "ff7": "%f_seven",
 83        "FF8": "%f_eight",
 84        "ff8": "%f_eight",
 85        "FF9": "%f_nine",
 86        "ff9": "%f_nine",
 87        "TZHTZM": "%z",
 88        "tzhtzm": "%z",
 89        "TZH:TZM": "%:z",  # internal representation for ±HH:MM
 90        "tzh:tzm": "%:z",
 91        "TZH": "%-z",  # internal representation ±HH
 92        "tzh": "%-z",
 93        '"T"': "T",  # remove the optional double quotes around the separator between the date and time
 94        # Seems like Snowflake treats AM/PM in the format string as equivalent,
 95        # only the time (stamp) value's AM/PM affects the output
 96        "AM": "%p",
 97        "am": "%p",
 98        "PM": "%p",
 99        "pm": "%p",
100    }
101
102    DATE_PART_MAPPING = {
103        **Dialect.DATE_PART_MAPPING,
104        "ISOWEEK": "WEEKISO",
105        # The base Dialect maps EPOCH_SECOND -> EPOCH, but we need to preserve
106        # EPOCH_SECOND as a distinct value for two reasons:
107        # 1. Type annotation: EPOCH_SECOND returns BIGINT, while EPOCH returns DOUBLE
108        # 2. Transpilation: DuckDB's EPOCH() returns float, so we cast EPOCH_SECOND
109        #    to BIGINT to match Snowflake's integer behavior
110        # Without this override, EXTRACT(EPOCH_SECOND FROM ts) would be normalized
111        # to EXTRACT(EPOCH FROM ts) and lose the integer semantics.
112        "EPOCH_SECOND": "EPOCH_SECOND",
113        "EPOCH_SECONDS": "EPOCH_SECOND",
114    }
115
116    PSEUDOCOLUMNS = {"LEVEL"}
117
118    def can_quote(self, identifier: exp.Identifier, identify: str | bool = "safe") -> bool:
119        # This disables quoting DUAL in SELECT ... FROM DUAL, because Snowflake treats an
120        # unquoted DUAL keyword in a special way and does not map it to a user-defined table
121        return super().can_quote(identifier, identify) and not (
122            isinstance(identifier.parent, exp.Table)
123            and not identifier.quoted
124            and identifier.name.lower() == "dual"
125        )
126
127    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
128        SINGLE_TOKENS = jsonpath.JSONPathTokenizer.SINGLE_TOKENS.copy()
129        SINGLE_TOKENS.pop("$")
130
131    Parser = SnowflakeParser
132
133    class Tokenizer(tokens.Tokenizer):
134        STRING_ESCAPES = ["\\", "'"]
135        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
136        RAW_STRINGS = ["$$"]
137        COMMENTS = ["--", "//", ("/*", "*/")]
138        NESTED_COMMENTS = False
139
140        KEYWORDS = {
141            **tokens.Tokenizer.KEYWORDS,
142            "BYTEINT": TokenType.INT,
143            "FILE://": TokenType.URI_START,
144            "FILE FORMAT": TokenType.FILE_FORMAT,
145            "GET": TokenType.GET,
146            "INTEGRATION": TokenType.INTEGRATION,
147            "MATCH_CONDITION": TokenType.MATCH_CONDITION,
148            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
149            "MINUS": TokenType.EXCEPT,
150            "NCHAR VARYING": TokenType.VARCHAR,
151            "PACKAGE": TokenType.PACKAGE,
152            "POLICY": TokenType.POLICY,
153            "POOL": TokenType.POOL,
154            "PUT": TokenType.PUT,
155            "REMOVE": TokenType.COMMAND,
156            "RM": TokenType.COMMAND,
157            "ROLE": TokenType.ROLE,
158            "RULE": TokenType.RULE,
159            "SAMPLE": TokenType.TABLE_SAMPLE,
160            "SEMANTIC VIEW": TokenType.SEMANTIC_VIEW,
161            "SQL_DOUBLE": TokenType.DOUBLE,
162            "SQL_VARCHAR": TokenType.VARCHAR,
163            "STAGE": TokenType.STAGE,
164            "STORAGE INTEGRATION": TokenType.STORAGE_INTEGRATION,
165            "STREAMLIT": TokenType.STREAMLIT,
166            "TAG": TokenType.TAG,
167            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
168            "TOP": TokenType.TOP,
169            "VOLUME": TokenType.VOLUME,
170            "WAREHOUSE": TokenType.WAREHOUSE,
171            # https://docs.snowflake.com/en/sql-reference/data-types-numeric#float
172            # FLOAT is a synonym for DOUBLE in Snowflake
173            "FLOAT": TokenType.DOUBLE,
174        }
175        KEYWORDS.pop("/*+")
176
177        SINGLE_TOKENS = {
178            **tokens.Tokenizer.SINGLE_TOKENS,
179            "$": TokenType.PARAMETER,
180            "!": TokenType.EXCLAMATION,
181        }
182
183        VAR_SINGLE_TOKENS = {"$"}
184
185        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
186
187    Generator = SnowflakeGenerator
NORMALIZATION_STRATEGY = <NormalizationStrategy.UPPERCASE: 'UPPERCASE'>

Specifies the strategy according to which identifiers should be normalized.

NULL_ORDERING = 'nulls_are_large'

Default NULL ordering method to use if not explicitly set. Possible values: "nulls_are_small", "nulls_are_large", "nulls_are_last"

TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
SUPPORTS_USER_DEFINED_TYPES = False

Whether user-defined data types are supported.

PREFER_CTE_ALIAS_COLUMN = True

Some dialects, such as Snowflake, allow you to reference a CTE column alias in the HAVING clause of the CTE. This flag will cause the CTE alias columns to override any projection aliases in the subquery.

For example, WITH y(c) AS ( SELECT SUM(a) FROM (SELECT 1 a) AS x HAVING c > 0 ) SELECT c FROM y;

will be rewritten as

WITH y(c) AS (
    SELECT SUM(a) AS c FROM (SELECT 1 AS a) AS x HAVING c > 0
) SELECT c FROM y;
TABLESAMPLE_SIZE_IS_PERCENT = True

Whether a size in the table sample clause represents percentage.

COPY_PARAMS_ARE_CSV = False

Whether COPY statement parameters are separated by comma or whitespace

ARRAY_AGG_INCLUDES_NULLS: bool | None = None

Whether ArrayAgg needs to filter NULL values.

ARRAY_FUNCS_PROPAGATES_NULLS = True

Whether Array update functions return NULL when the input array is NULL.

ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN = False
TRY_CAST_REQUIRES_STRING: bool | None = True
SUPPORTS_ALIAS_REFS_IN_JOIN_CONDITIONS = True

Whether alias references are allowed in JOIN ... ON clauses.

Most dialects do not support this, but Snowflake allows alias expansion in the JOIN ... ON clause (and almost everywhere else)

For example, in Snowflake: SELECT a.id AS user_id FROM a JOIN b ON user_id = b.id -- VALID

Reference: sqlglot.dialects.snowflake.com/en/sql-reference/sql/select#usage-notes">https://docssqlglot.dialects.snowflake.com/en/sql-reference/sql/select#usage-notes

LEAST_GREATEST_IGNORES_NULLS = False

Whether LEAST/GREATEST functions ignore NULL values, e.g:

  • BigQuery, Snowflake, MySQL, Presto/Trino: LEAST(1, NULL, 2) -> NULL
  • Spark, Postgres, DuckDB, TSQL: LEAST(1, NULL, 2) -> 1
EXPRESSION_METADATA = {<class 'sqlglot.expressions.core.Add'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Adjacent'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.And'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.array.ArrayContains'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.array.ArrayContainsAll'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.array.ArrayOverlaps'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.array.ArrayPosition'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Binary'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.BitwiseAnd'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.BitwiseLeftShift'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.BitwiseOr'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.BitwiseRightShift'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.BitwiseXor'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.functions.Collate'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.core.Connector'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.aggregate.Corr'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.DPipe'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.core.Distance'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Div'>: {'annotator': <function <lambda>>}, <class 'sqlglot.expressions.core.Dot'>: {'annotator': <function <lambda>>}, <class 'sqlglot.expressions.core.EQ'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Escape'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.ExtendsLeft'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.ExtendsRight'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.GT'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.GTE'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Glob'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.ILike'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.IntDiv'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Is'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONArrayContains'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBContains'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBContainsAllTopKeys'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBContainsAnyTopKeys'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBDeleteAtPath'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBExtract'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONBExtractScalar'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONExtract'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.json.JSONExtractScalar'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.Kwarg'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.LT'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.core.LTE'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 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{'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.string.Stuff'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.aggregate.Mode'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.string.Right'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.temporal.AddMonths'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.math.Floor'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.aggregate.ApproxTopK'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.aggregate.ApproxTopKEstimate'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArrayAppend'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArrayCompact'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArrayConstructCompact'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArrayPrepend'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArrayRemove'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.ArraysZip'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.aggregate.ArrayUniqueAgg'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.aggregate.ArrayUnionAgg'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.MapKeys'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.string.RegexpExtractAll'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.string.Split'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.array.StringToArray'>: {'returns': <DType.ARRAY: 'ARRAY'>}, <class 'sqlglot.expressions.math.BitmapBitPosition'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.math.Factorial'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.string.MD5NumberUpper64'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.functions.Seq8'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.string.MD5NumberLower64'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.aggregate.GroupingId'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.math.BitmapCount'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.functions.Zipf'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.math.BitmapBucketNumber'>: {'returns': <DType.BIGINT: 'BIGINT'>}, <class 'sqlglot.expressions.string.Encrypt'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.SHA1Digest'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.TryHexDecodeBinary'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.ToBinary'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.DecompressBinary'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.TryBase64DecodeBinary'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.DecryptRaw'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.MD5Digest'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.math.BitmapOrAgg'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.Base64DecodeBinary'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.Decrypt'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.Compress'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.SHA2Digest'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.math.BitmapConstructAgg'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.Unhex'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.string.EncryptRaw'>: {'returns': <DType.BINARY: 'BINARY'>}, <class 'sqlglot.expressions.math.BoolxorAgg'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.math.Boolor'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.math.Boolnot'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.functions.IsNullValue'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.string.SearchIp'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.math.Booland'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.array.MapContainsKey'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.functions.EqualNull'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.functions.ToBoolean'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.string.Search'>: {'returns': <DType.BOOLEAN: 'BOOLEAN'>}, <class 'sqlglot.expressions.temporal.NextDay'>: {'returns': <DType.DATE: 'DATE'>}, <class 'sqlglot.expressions.temporal.PreviousDay'>: {'returns': <DType.DATE: 'DATE'>}, <class 'sqlglot.expressions.math.BitwiseAndAgg'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.math.BitwiseOrAgg'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.math.BitwiseXorAgg'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.string.RegexpCount'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.string.RegexpInstr'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.string.ToNumber'>: {'annotator': <function <dictcomp>.<lambda>>}, <class 'sqlglot.expressions.aggregate.CovarPop'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.math.DotProduct'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.math.CosineDistance'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.temporal.MonthsBetween'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.aggregate.ApproxPercentileEstimate'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.functions.Normal'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.math.ManhattanDistance'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.aggregate.ApproximateSimilarity'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.aggregate.CovarSamp'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.math.EuclideanDistance'>: {'returns': <DType.DOUBLE: 'DOUBLE'>}, <class 'sqlglot.expressions.string.TryToDecfloat'>: {'returns': <DType.DECFLOAT: 'DECFLOAT'>}, <class 'sqlglot.expressions.string.ToDecfloat'>: {'returns': <DType.DECFLOAT: 'DECFLOAT'>}, <class 'sqlglot.expressions.aggregate.RegrIntercept'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrAvgy'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrValy'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrSyy'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrSxx'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrR2'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrCount'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrAvgx'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.math.Atan2'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrValx'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrSxy'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.aggregate.RegrSlope'>: {'annotator': <function _annotate_math_with_float_decfloat>}, <class 'sqlglot.expressions.string.ByteLength'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.string.RtrimmedLength'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.temporal.Second'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.functions.Seq4'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.functions.Seq2'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.functions.WidthBucket'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.functions.Seq1'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.temporal.Minute'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.math.JarowinklerSimilarity'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.array.MapSize'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.aggregate.Grouping'>: {'returns': <DType.INT: 'INT'>}, <class 'sqlglot.expressions.aggregate.ApproxTopKAccumulate'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.string.ParseUrl'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.functions.XMLGet'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.aggregate.ObjectAgg'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.aggregate.ApproxPercentileCombine'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.aggregate.ApproxPercentileAccumulate'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.functions.ParseIp'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.aggregate.ApproxTopKCombine'>: {'returns': <DType.OBJECT: 'OBJECT'>}, <class 'sqlglot.expressions.array.MapInsert'>: {'returns': <DType.MAP: 'MAP'>}, <class 'sqlglot.expressions.array.MapDelete'>: {'returns': <DType.MAP: 'MAP'>}, <class 'sqlglot.expressions.array.MapPick'>: {'returns': <DType.MAP: 'MAP'>}, <class 'sqlglot.expressions.array.MapCat'>: {'returns': <DType.MAP: 'MAP'>}, <class 'sqlglot.expressions.string.ToFile'>: {'returns': <DType.FILE: 'FILE'>}, <class 'sqlglot.expressions.temporal.TimeFromParts'>: {'returns': <DType.TIME: 'TIME'>}, <class 'sqlglot.expressions.temporal.TsOrDsToTime'>: {'returns': <DType.TIME: 'TIME'>}, <class 'sqlglot.expressions.temporal.Localtimestamp'>: {'returns': <DType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <class 'sqlglot.expressions.functions.Randstr'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Repeat'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.TryHexDecodeString'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.Uuid'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentTransaction'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentAccountName'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.TryBase64DecodeString'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentSession'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentSchemas'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.RegexpExtract'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Strtok'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentRole'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Soundex'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Base64DecodeString'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentOrganizationUser'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.AIClassify'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentIpAddress'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentWarehouse'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentClient'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.HexDecodeString'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.aggregate.AIAgg'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentAvailableRoles'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.DecompressString'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.RegexpReplace'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.json.CheckJson'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentAccount'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentStatement'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Replace'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentSecondaryRoles'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.Collation'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentRoleType'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.SoundexP123'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.SplitPart'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.Base64Encode'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentRegion'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.string.HexEncode'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentOrganizationName'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CurrentDatabase'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.functions.CheckXml'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.aggregate.AISummarizeAgg'>: {'returns': <DType.VARCHAR: 'VARCHAR'>}, <class 'sqlglot.expressions.aggregate.MinhashCombine'>: {'returns': <DType.VARIANT: 'VARIANT'>}, <class 'sqlglot.expressions.aggregate.Minhash'>: {'returns': <DType.VARIANT: 'VARIANT'>}, <class 'sqlglot.expressions.aggregate.ArgMax'>: {'annotator': <function _annotate_arg_max_min>}, <class 'sqlglot.expressions.aggregate.ArgMin'>: {'annotator': <function _annotate_arg_max_min>}, <class 'sqlglot.expressions.temporal.ConvertTimezone'>: {'annotator': <function <lambda>>}, <class 'sqlglot.expressions.functions.DecodeCase'>: {'annotator': <function _annotate_decode_case>}, <class 'sqlglot.expressions.core.HashAgg'>: {'annotator': <function <lambda>>}, <class 'sqlglot.expressions.aggregate.Median'>: {'annotator': <function _annotate_median>}, <class 'sqlglot.expressions.string.Reverse'>: {'annotator': <function _annotate_reverse>}, <class 'sqlglot.expressions.temporal.TimestampFromParts'>: {'annotator': <function _annotate_timestamp_from_parts>}, <class 'sqlglot.expressions.core.WithinGroup'>: {'annotator': <function _annotate_within_group>}}
INITCAP_DEFAULT_DELIMITER_CHARS = ' \t\n\r\x0c\x0b!?@"^#$&~_,.:;+\\-*%/|\\[\\](){}<>'
INVERSE_TIME_MAPPING: dict[str, str] = {'%Y': 'yyyy', '%y': 'yy', '%B': 'mmmm', '%b': 'mon', '%m': 'mm', '%d': 'DD', '%-d': 'dd', '%a': 'DY', '%w': 'dy', '%H': 'hh24', '%I': 'hh12', '%M': 'mi', '%S': 'ss', '%f_nine': 'ff9', '%f_zero': 'ff0', '%f_one': 'ff1', '%f_two': 'ff2', '%f_three': 'ff3', '%f_four': 'ff4', '%f_five': 'ff5', '%f': 'ff6', '%f_seven': 'ff7', '%f_eight': 'ff8', '%z': 'tzhtzm', '%:z': 'tzh:tzm', '%-z': 'tzh', 'T': 'T', '%p': 'pm'}
TIME_MAPPING: dict[str, str] = {'YYYY': '%Y', 'yyyy': '%Y', 'YY': '%y', 'yy': '%y', 'MMMM': '%B', 'mmmm': '%B', 'MON': '%b', 'mon': '%b', 'MM': '%m', 'mm': '%m', 'DD': '%d', 'dd': '%-d', 'DY': '%a', 'dy': '%w', 'HH24': '%H', 'hh24': '%H', 'HH12': '%I', 'hh12': '%I', 'MI': '%M', 'mi': '%M', 'SS': '%S', 'ss': '%S', 'FF': '%f_nine', 'ff': '%f_nine', 'FF0': '%f_zero', 'ff0': '%f_zero', 'FF1': '%f_one', 'ff1': '%f_one', 'FF2': '%f_two', 'ff2': '%f_two', 'FF3': '%f_three', 'ff3': '%f_three', 'FF4': '%f_four', 'ff4': '%f_four', 'FF5': '%f_five', 'ff5': '%f_five', 'FF6': '%f', 'ff6': '%f', 'FF7': '%f_seven', 'ff7': '%f_seven', 'FF8': '%f_eight', 'ff8': '%f_eight', 'FF9': '%f_nine', 'ff9': '%f_nine', 'TZHTZM': '%z', 'tzhtzm': '%z', 'TZH:TZM': '%:z', 'tzh:tzm': '%:z', 'TZH': '%-z', 'tzh': '%-z', '"T"': 'T', 'AM': '%p', 'am': '%p', 'PM': '%p', 'pm': '%p'}

Associates this dialect's time formats with their equivalent Python strftime formats.

DATE_PART_MAPPING = {'Y': 'YEAR', 'YY': 'YEAR', 'YYY': 'YEAR', 'YYYY': 'YEAR', 'YR': 'YEAR', 'YEARS': 'YEAR', 'YRS': 'YEAR', 'MM': 'MONTH', 'MON': 'MONTH', 'MONS': 'MONTH', 'MONTHS': 'MONTH', 'D': 'DAY', 'DD': 'DAY', 'DAYS': 'DAY', 'DAYOFMONTH': 'DAY', 'DAY OF WEEK': 'DAYOFWEEK', 'WEEKDAY': 'DAYOFWEEK', 'DOW': 'DAYOFWEEK', 'DW': 'DAYOFWEEK', 'WEEKDAY_ISO': 'DAYOFWEEKISO', 'DOW_ISO': 'DAYOFWEEKISO', 'DW_ISO': 'DAYOFWEEKISO', 'DAYOFWEEK_ISO': 'DAYOFWEEKISO', 'DAY OF YEAR': 'DAYOFYEAR', 'DOY': 'DAYOFYEAR', 'DY': 'DAYOFYEAR', 'W': 'WEEK', 'WK': 'WEEK', 'WEEKOFYEAR': 'WEEK', 'WOY': 'WEEK', 'WY': 'WEEK', 'WEEK_ISO': 'WEEKISO', 'WEEKOFYEARISO': 'WEEKISO', 'WEEKOFYEAR_ISO': 'WEEKISO', 'Q': 'QUARTER', 'QTR': 'QUARTER', 'QTRS': 'QUARTER', 'QUARTERS': 'QUARTER', 'H': 'HOUR', 'HH': 'HOUR', 'HR': 'HOUR', 'HOURS': 'HOUR', 'HRS': 'HOUR', 'M': 'MINUTE', 'MI': 'MINUTE', 'MIN': 'MINUTE', 'MINUTES': 'MINUTE', 'MINS': 'MINUTE', 'S': 'SECOND', 'SEC': 'SECOND', 'SECONDS': 'SECOND', 'SECS': 'SECOND', 'MS': 'MILLISECOND', 'MSEC': 'MILLISECOND', 'MSECS': 'MILLISECOND', 'MSECOND': 'MILLISECOND', 'MSECONDS': 'MILLISECOND', 'MILLISEC': 'MILLISECOND', 'MILLISECS': 'MILLISECOND', 'MILLISECON': 'MILLISECOND', 'MILLISECONDS': 'MILLISECOND', 'US': 'MICROSECOND', 'USEC': 'MICROSECOND', 'USECS': 'MICROSECOND', 'MICROSEC': 'MICROSECOND', 'MICROSECS': 'MICROSECOND', 'USECOND': 'MICROSECOND', 'USECONDS': 'MICROSECOND', 'MICROSECONDS': 'MICROSECOND', 'NS': 'NANOSECOND', 'NSEC': 'NANOSECOND', 'NANOSEC': 'NANOSECOND', 'NSECOND': 'NANOSECOND', 'NSECONDS': 'NANOSECOND', 'NANOSECS': 'NANOSECOND', 'EPOCH_SECOND': 'EPOCH_SECOND', 'EPOCH_SECONDS': 'EPOCH_SECOND', 'EPOCH_MILLISECONDS': 'EPOCH_MILLISECOND', 'EPOCH_MICROSECONDS': 'EPOCH_MICROSECOND', 'EPOCH_NANOSECONDS': 'EPOCH_NANOSECOND', 'TZH': 'TIMEZONE_HOUR', 'TZM': 'TIMEZONE_MINUTE', 'DEC': 'DECADE', 'DECS': 'DECADE', 'DECADES': 'DECADE', 'MIL': 'MILLENNIUM', 'MILS': 'MILLENNIUM', 'MILLENIA': 'MILLENNIUM', 'C': 'CENTURY', 'CENT': 'CENTURY', 'CENTS': 'CENTURY', 'CENTURIES': 'CENTURY', 'ISOWEEK': 'WEEKISO'}
PSEUDOCOLUMNS: set[str] = {'LEVEL'}

Columns that are auto-generated by the engine corresponding to this dialect. For example, such columns may be excluded from SELECT * queries.

def can_quote( self, identifier: sqlglot.expressions.core.Identifier, identify: str | bool = 'safe') -> bool:
118    def can_quote(self, identifier: exp.Identifier, identify: str | bool = "safe") -> bool:
119        # This disables quoting DUAL in SELECT ... FROM DUAL, because Snowflake treats an
120        # unquoted DUAL keyword in a special way and does not map it to a user-defined table
121        return super().can_quote(identifier, identify) and not (
122            isinstance(identifier.parent, exp.Table)
123            and not identifier.quoted
124            and identifier.name.lower() == "dual"
125        )

Checks if an identifier can be quoted

Arguments:
  • identifier: The identifier to check.
  • identify: True: Always returns True except for certain cases. "safe": Only returns True if the identifier is case-insensitive. "unsafe": Only returns True if the identifier is case-sensitive.
Returns:

Whether the given text can be identified.

SUPPORTS_COLUMN_JOIN_MARKS = False

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

UNESCAPED_SEQUENCES: dict[str, str] = {'\\a': '\x07', '\\b': '\x08', '\\f': '\x0c', '\\n': '\n', '\\r': '\r', '\\t': '\t', '\\v': '\x0b', '\\\\': '\\'}

Mapping of an escaped sequence (\n) to its unescaped version ( ).

STRINGS_SUPPORT_ESCAPED_SEQUENCES: bool = True

Whether string literals support escape sequences (e.g. \n). Set by the metaclass based on the tokenizer's STRING_ESCAPES.

BYTE_STRINGS_SUPPORT_ESCAPED_SEQUENCES: bool = True

Whether byte string literals support escape sequences. Set by the metaclass based on the tokenizer's BYTE_STRING_ESCAPES.

tokenizer_class = <class 'Snowflake.Tokenizer'>
jsonpath_tokenizer_class = <class 'Snowflake.JSONPathTokenizer'>
TIME_TRIE: dict = {'Y': {'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'y': {'y': {'y': {'y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}}, 0: True}, 'O': {'N': {0: True}}, 'I': {0: True}}, 'm': {'m': {'m': {'m': {0: True}}, 0: True}, 'o': {'n': {0: True}}, 'i': {0: True}}, 'D': {'D': {0: True}, 'Y': {0: True}}, 'd': {'d': {0: True}, 'y': {0: True}}, 'H': {'H': {'2': {'4': {0: True}}, '1': {'2': {0: True}}}}, 'h': {'h': {'2': {'4': {0: True}}, '1': {'2': {0: True}}}}, 'S': {'S': {0: True}}, 's': {'s': {0: True}}, 'F': {'F': {0: True, '0': {0: True}, '1': {0: True}, '2': {0: True}, '3': {0: True}, '4': {0: True}, '5': {0: True}, '6': {0: True}, '7': {0: True}, '8': {0: True}, '9': {0: True}}}, 'f': {'f': {0: True, '0': {0: True}, '1': {0: True}, '2': {0: True}, '3': {0: True}, '4': {0: True}, '5': {0: True}, '6': {0: True}, '7': {0: True}, '8': {0: True}, '9': {0: True}}}, 'T': {'Z': {'H': {'T': {'Z': {'M': {0: True}}}, ':': {'T': {'Z': {'M': {0: True}}}}, 0: True}}}, 't': {'z': {'h': {'t': {'z': {'m': {0: True}}}, ':': {'t': {'z': {'m': {0: True}}}}, 0: True}}}, '"': {'T': {'"': {0: True}}}, 'A': {'M': {0: True}}, 'a': {'m': {0: True}}, 'P': {'M': {0: True}}, 'p': {'m': {0: True}}}
FORMAT_TRIE: dict = {'Y': {'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'y': {'y': {'y': {'y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}}, 0: True}, 'O': {'N': {0: True}}, 'I': {0: True}}, 'm': {'m': {'m': {'m': {0: True}}, 0: True}, 'o': {'n': {0: True}}, 'i': {0: True}}, 'D': {'D': {0: True}, 'Y': {0: True}}, 'd': {'d': {0: True}, 'y': {0: True}}, 'H': {'H': {'2': {'4': {0: True}}, '1': {'2': {0: True}}}}, 'h': {'h': {'2': {'4': {0: True}}, '1': {'2': {0: True}}}}, 'S': {'S': {0: True}}, 's': {'s': {0: True}}, 'F': {'F': {0: True, '0': {0: True}, '1': {0: True}, '2': {0: True}, '3': {0: True}, '4': {0: True}, '5': {0: True}, '6': {0: True}, '7': {0: True}, '8': {0: True}, '9': {0: True}}}, 'f': {'f': {0: True, '0': {0: True}, '1': {0: True}, '2': {0: True}, '3': {0: True}, '4': {0: True}, '5': {0: True}, '6': {0: True}, '7': {0: True}, '8': {0: True}, '9': {0: True}}}, 'T': {'Z': {'H': {'T': {'Z': {'M': {0: True}}}, ':': {'T': {'Z': {'M': {0: True}}}}, 0: True}}}, 't': {'z': {'h': {'t': {'z': {'m': {0: True}}}, ':': {'t': {'z': {'m': {0: True}}}}, 0: True}}}, '"': {'T': {'"': {0: True}}}, 'A': {'M': {0: True}}, 'a': {'m': {0: True}}, 'P': {'M': {0: True}}, 'p': {'m': {0: True}}}
INVERSE_TIME_TRIE: dict = {'%': {'Y': {0: True}, 'y': {0: True}, 'B': {0: True}, 'b': {0: True}, 'm': {0: True}, 'd': {0: True}, '-': {'d': {0: True}, 'z': {0: True}}, 'a': {0: True}, 'w': {0: True}, 'H': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, 'f': {'_': {'n': {'i': {'n': {'e': {0: True}}}}, 'z': {'e': {'r': {'o': {0: True}}}}, 'o': {'n': {'e': {0: True}}}, 't': {'w': {'o': {0: True}}, 'h': {'r': {'e': {'e': {0: True}}}}}, 'f': {'o': {'u': {'r': {0: True}}}, 'i': {'v': {'e': {0: True}}}}, 's': {'e': {'v': {'e': {'n': {0: True}}}}}, 'e': {'i': {'g': {'h': {'t': {0: True}}}}}}, 0: True}, 'z': {0: True}, ':': {'z': {0: True}}, 'p': {0: True}}, 'T': {0: True}}
INVERSE_FORMAT_MAPPING: dict[str, str] = {}
INVERSE_FORMAT_TRIE: dict = {}
INVERSE_CREATABLE_KIND_MAPPING: dict[str, str] = {}
ESCAPED_SEQUENCES: dict[str, str] = {'\x07': '\\a', '\x08': '\\b', '\x0c': '\\f', '\n': '\\n', '\r': '\\r', '\t': '\\t', '\x0b': '\\v', '\\': '\\\\'}
QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '"'
IDENTIFIER_END = '"'
VALID_INTERVAL_UNITS: set[str] = {'QTRS', 'TZH', 'HR', 'DAYS', 'US', 'NSEC', 'MICROSECS', 'WK', 'NSECOND', 'MSECONDS', 'WOY', 'MINUTE', 'WEEKDAY', 'MILLISEC', 'MILLISECS', 'MONS', 'MONTHS', 'NSECONDS', 'USECS', 'Y', 'YEAR', 'DAYOFWEEK', 'SECONDS', 'QTR', 'YYYY', 'MILLISECONDS', 'DECADE', 'MM', 'MSECS', 'HOUR', 'DAYOFWEEK_ISO', 'MICROSEC', 'CENTS', 'MS', 'DAYOFWEEKISO', 'MICROSECONDS', 'MILLISECOND', 'USECONDS', 'SECS', 'EPOCH_NANOSECONDS', 'QUARTER', 'USEC', 'HH', 'YRS', 'WEEK', 'EPOCH_MICROSECOND', 'DECADES', 'WEEKOFYEAR', 'WY', 'NANOSECOND', 'DOW', 'SECOND', 'SEC', 'MIL', 'CENTURY', 'HRS', 'DAYOFYEAR', 'YY', 'NANOSEC', 'NANOSECS', 'M', 'WEEKOFYEARISO', 'YEARS', 'ISOWEEK', 'Q', 'MILLENNIUM', 'WEEKISO', 'DAY OF WEEK', 'WEEK_ISO', 'MILS', 'MINS', 'NS', 'W', 'EPOCH', 'D', 'DAYOFMONTH', 'DAY', 'MILLISECON', 'CENTURIES', 'S', 'QUARTERS', 'WEEKDAY_ISO', 'WEEKOFYEAR_ISO', 'DEC', 'DW_ISO', 'DY', 'C', 'MONTH', 'YR', 'DW', 'YYY', 'EPOCH_SECOND', 'MIN', 'DD', 'DOW_ISO', 'MI', 'EPOCH_MICROSECONDS', 'MSEC', 'DAY OF YEAR', 'TZM', 'MINUTES', 'MON', 'MSECOND', 'DOY', 'EPOCH_MILLISECONDS', 'MILLENIA', 'EPOCH_NANOSECOND', 'EPOCH_MILLISECOND', 'MICROSECOND', 'EPOCH_SECONDS', 'TIMEZONE_HOUR', 'H', 'HOURS', 'TIMEZONE_MINUTE', 'CENT', 'DECS', 'USECOND'}
BIT_START: str | None = None
BIT_END: str | None = None
HEX_START: str | None = "x'"
HEX_END: str | None = "'"
BYTE_START: str | None = None
BYTE_END: str | None = None
UNICODE_START: str | None = None
UNICODE_END: str | None = None
class Snowflake.JSONPathTokenizer(sqlglot.jsonpath.JSONPathTokenizer):
127    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
128        SINGLE_TOKENS = jsonpath.JSONPathTokenizer.SINGLE_TOKENS.copy()
129        SINGLE_TOKENS.pop("$")
SINGLE_TOKENS = {'(': <TokenType.L_PAREN: 1>, ')': <TokenType.R_PAREN: 2>, '[': <TokenType.L_BRACKET: 3>, ']': <TokenType.R_BRACKET: 4>, ':': <TokenType.COLON: 11>, ',': <TokenType.COMMA: 7>, '-': <TokenType.DASH: 9>, '.': <TokenType.DOT: 8>, '?': <TokenType.PLACEHOLDER: 353>, '@': <TokenType.PARAMETER: 56>, "'": <TokenType.QUOTE: 365>, '"': <TokenType.QUOTE: 365>, '*': <TokenType.STAR: 20>}
BYTE_STRING_ESCAPES: ClassVar[list[str]] = ['\\']
class Snowflake.Tokenizer(sqlglot.tokens.Tokenizer):
133    class Tokenizer(tokens.Tokenizer):
134        STRING_ESCAPES = ["\\", "'"]
135        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
136        RAW_STRINGS = ["$$"]
137        COMMENTS = ["--", "//", ("/*", "*/")]
138        NESTED_COMMENTS = False
139
140        KEYWORDS = {
141            **tokens.Tokenizer.KEYWORDS,
142            "BYTEINT": TokenType.INT,
143            "FILE://": TokenType.URI_START,
144            "FILE FORMAT": TokenType.FILE_FORMAT,
145            "GET": TokenType.GET,
146            "INTEGRATION": TokenType.INTEGRATION,
147            "MATCH_CONDITION": TokenType.MATCH_CONDITION,
148            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
149            "MINUS": TokenType.EXCEPT,
150            "NCHAR VARYING": TokenType.VARCHAR,
151            "PACKAGE": TokenType.PACKAGE,
152            "POLICY": TokenType.POLICY,
153            "POOL": TokenType.POOL,
154            "PUT": TokenType.PUT,
155            "REMOVE": TokenType.COMMAND,
156            "RM": TokenType.COMMAND,
157            "ROLE": TokenType.ROLE,
158            "RULE": TokenType.RULE,
159            "SAMPLE": TokenType.TABLE_SAMPLE,
160            "SEMANTIC VIEW": TokenType.SEMANTIC_VIEW,
161            "SQL_DOUBLE": TokenType.DOUBLE,
162            "SQL_VARCHAR": TokenType.VARCHAR,
163            "STAGE": TokenType.STAGE,
164            "STORAGE INTEGRATION": TokenType.STORAGE_INTEGRATION,
165            "STREAMLIT": TokenType.STREAMLIT,
166            "TAG": TokenType.TAG,
167            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
168            "TOP": TokenType.TOP,
169            "VOLUME": TokenType.VOLUME,
170            "WAREHOUSE": TokenType.WAREHOUSE,
171            # https://docs.snowflake.com/en/sql-reference/data-types-numeric#float
172            # FLOAT is a synonym for DOUBLE in Snowflake
173            "FLOAT": TokenType.DOUBLE,
174        }
175        KEYWORDS.pop("/*+")
176
177        SINGLE_TOKENS = {
178            **tokens.Tokenizer.SINGLE_TOKENS,
179            "$": TokenType.PARAMETER,
180            "!": TokenType.EXCLAMATION,
181        }
182
183        VAR_SINGLE_TOKENS = {"$"}
184
185        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
STRING_ESCAPES = ['\\', "'"]
HEX_STRINGS = [("x'", "'"), ("X'", "'")]
RAW_STRINGS = ['$$']
COMMENTS = ['--', '//', ('/*', '*/')]
NESTED_COMMENTS = False
KEYWORDS = {'{%': <TokenType.BLOCK_START: 71>, '{%+': <TokenType.BLOCK_START: 71>, '{%-': <TokenType.BLOCK_START: 71>, '%}': <TokenType.BLOCK_END: 72>, '+%}': <TokenType.BLOCK_END: 72>, '-%}': <TokenType.BLOCK_END: 72>, '{{+': <TokenType.BLOCK_START: 71>, '{{-': <TokenType.BLOCK_START: 71>, '+}}': <TokenType.BLOCK_END: 72>, '-}}': <TokenType.BLOCK_END: 72>, '&<': <TokenType.AMP_LT: 61>, '&>': <TokenType.AMP_GT: 62>, '==': <TokenType.EQ: 28>, '::': <TokenType.DCOLON: 14>, '?::': <TokenType.QDCOLON: 366>, '||': <TokenType.DPIPE: 37>, '|>': <TokenType.PIPE_GT: 38>, '>=': <TokenType.GTE: 26>, '<=': <TokenType.LTE: 24>, '<>': <TokenType.NEQ: 29>, '!=': <TokenType.NEQ: 29>, ':=': <TokenType.COLON_EQ: 31>, '<=>': <TokenType.NULLSAFE_EQ: 30>, '->': <TokenType.ARROW: 45>, '->>': <TokenType.DARROW: 46>, '=>': <TokenType.FARROW: 47>, '#>': <TokenType.HASH_ARROW: 49>, '#>>': <TokenType.DHASH_ARROW: 50>, '<->': <TokenType.LR_ARROW: 51>, '&&': <TokenType.DAMP: 60>, '??': <TokenType.DQMARK: 18>, '~~~': <TokenType.GLOB: 284>, '~~': <TokenType.LIKE: 315>, '~~*': <TokenType.ILIKE: 292>, '~*': <TokenType.IRLIKE: 304>, '-|-': <TokenType.ADJACENT: 63>, 'ALL': <TokenType.ALL: 218>, 'AND': <TokenType.AND: 34>, 'ANTI': <TokenType.ANTI: 219>, 'ANY': <TokenType.ANY: 220>, 'ASC': <TokenType.ASC: 223>, 'AS': <TokenType.ALIAS: 216>, 'ASOF': <TokenType.ASOF: 224>, 'AUTOINCREMENT': <TokenType.AUTO_INCREMENT: 226>, 'AUTO_INCREMENT': <TokenType.AUTO_INCREMENT: 226>, 'BEGIN': <TokenType.BEGIN: 227>, 'BETWEEN': <TokenType.BETWEEN: 228>, 'CACHE': <TokenType.CACHE: 230>, 'UNCACHE': <TokenType.UNCACHE: 409>, 'CASE': <TokenType.CASE: 231>, 'CHARACTER SET': <TokenType.CHARACTER_SET: 232>, 'CLUSTER BY': <TokenType.CLUSTER_BY: 233>, 'COLLATE': <TokenType.COLLATE: 234>, 'COLUMN': <TokenType.COLUMN: 79>, 'COMMIT': <TokenType.COMMIT: 237>, 'CONNECT BY': <TokenType.CONNECT_BY: 238>, 'CONSTRAINT': <TokenType.CONSTRAINT: 239>, 'COPY': <TokenType.COPY: 240>, 'CREATE': <TokenType.CREATE: 241>, 'CROSS': <TokenType.CROSS: 242>, 'CUBE': <TokenType.CUBE: 243>, 'CURRENT_DATE': <TokenType.CURRENT_DATE: 244>, 'CURRENT_SCHEMA': <TokenType.CURRENT_SCHEMA: 246>, 'CURRENT_TIME': <TokenType.CURRENT_TIME: 247>, 'CURRENT_TIMESTAMP': <TokenType.CURRENT_TIMESTAMP: 248>, 'CURRENT_USER': <TokenType.CURRENT_USER: 249>, 'CURRENT_CATALOG': <TokenType.CURRENT_CATALOG: 251>, 'DATABASE': <TokenType.DATABASE: 78>, 'DEFAULT': <TokenType.DEFAULT: 253>, 'DELETE': <TokenType.DELETE: 254>, 'DESC': <TokenType.DESC: 255>, 'DESCRIBE': <TokenType.DESCRIBE: 256>, 'DISTINCT': <TokenType.DISTINCT: 259>, 'DISTRIBUTE BY': <TokenType.DISTRIBUTE_BY: 260>, 'DIV': <TokenType.DIV: 261>, 'DROP': <TokenType.DROP: 262>, 'ELSE': <TokenType.ELSE: 263>, 'END': <TokenType.END: 264>, 'ENUM': <TokenType.ENUM: 203>, 'ESCAPE': <TokenType.ESCAPE: 265>, 'EXCEPT': <TokenType.EXCEPT: 266>, 'EXECUTE': <TokenType.EXECUTE: 267>, 'EXISTS': <TokenType.EXISTS: 268>, 'FALSE': <TokenType.FALSE: 269>, 'FETCH': <TokenType.FETCH: 270>, 'FILTER': <TokenType.FILTER: 273>, 'FILE': <TokenType.FILE: 271>, 'FIRST': <TokenType.FIRST: 275>, 'FULL': <TokenType.FULL: 281>, 'FUNCTION': <TokenType.FUNCTION: 282>, 'FOR': <TokenType.FOR: 276>, 'FOREIGN KEY': <TokenType.FOREIGN_KEY: 278>, 'FORMAT': <TokenType.FORMAT: 279>, 'FROM': <TokenType.FROM: 280>, 'GEOGRAPHY': <TokenType.GEOGRAPHY: 170>, 'GEOMETRY': <TokenType.GEOMETRY: 173>, 'GLOB': <TokenType.GLOB: 284>, 'GROUP BY': <TokenType.GROUP_BY: 287>, 'GROUPING SETS': <TokenType.GROUPING_SETS: 288>, 'HAVING': <TokenType.HAVING: 289>, 'ILIKE': <TokenType.ILIKE: 292>, 'IN': <TokenType.IN: 293>, 'INDEX': <TokenType.INDEX: 294>, 'INET': <TokenType.INET: 198>, 'INNER': <TokenType.INNER: 296>, 'INSERT': <TokenType.INSERT: 297>, 'INTERVAL': <TokenType.INTERVAL: 301>, 'INTERSECT': <TokenType.INTERSECT: 300>, 'INTO': <TokenType.INTO: 302>, 'IS': <TokenType.IS: 305>, 'ISNULL': <TokenType.ISNULL: 306>, 'JOIN': <TokenType.JOIN: 307>, 'KEEP': <TokenType.KEEP: 309>, 'KILL': <TokenType.KILL: 311>, 'LATERAL': <TokenType.LATERAL: 313>, 'LEFT': <TokenType.LEFT: 314>, 'LIKE': <TokenType.LIKE: 315>, 'LIMIT': <TokenType.LIMIT: 316>, 'LOAD': <TokenType.LOAD: 318>, 'LOCALTIME': <TokenType.LOCALTIME: 177>, 'LOCALTIMESTAMP': <TokenType.LOCALTIMESTAMP: 178>, 'LOCK': <TokenType.LOCK: 319>, 'MERGE': <TokenType.MERGE: 325>, 'NAMESPACE': <TokenType.NAMESPACE: 436>, 'NATURAL': <TokenType.NATURAL: 328>, 'NEXT': <TokenType.NEXT: 329>, 'NOT': <TokenType.NOT: 27>, 'NOTNULL': <TokenType.NOTNULL: 331>, 'NULL': <TokenType.NULL: 332>, 'OBJECT': <TokenType.OBJECT: 197>, 'OFFSET': <TokenType.OFFSET: 334>, 'ON': <TokenType.ON: 335>, 'OR': <TokenType.OR: 35>, 'XOR': <TokenType.XOR: 64>, 'ORDER BY': <TokenType.ORDER_BY: 338>, 'ORDINALITY': <TokenType.ORDINALITY: 341>, 'OUT': <TokenType.OUT: 342>, 'OUTER': <TokenType.OUTER: 344>, 'OVER': <TokenType.OVER: 345>, 'OVERLAPS': <TokenType.OVERLAPS: 346>, 'OVERWRITE': <TokenType.OVERWRITE: 347>, 'PARTITION': <TokenType.PARTITION: 349>, 'PARTITION BY': <TokenType.PARTITION_BY: 350>, 'PARTITIONED BY': <TokenType.PARTITION_BY: 350>, 'PARTITIONED_BY': <TokenType.PARTITION_BY: 350>, 'PERCENT': <TokenType.PERCENT: 351>, 'PIVOT': <TokenType.PIVOT: 352>, 'PRAGMA': <TokenType.PRAGMA: 357>, 'PRIMARY KEY': <TokenType.PRIMARY_KEY: 359>, 'PROCEDURE': <TokenType.PROCEDURE: 360>, 'OPERATOR': <TokenType.OPERATOR: 337>, 'QUALIFY': <TokenType.QUALIFY: 364>, 'RANGE': <TokenType.RANGE: 367>, 'RECURSIVE': <TokenType.RECURSIVE: 368>, 'REGEXP': <TokenType.RLIKE: 376>, 'RENAME': <TokenType.RENAME: 370>, 'REPLACE': <TokenType.REPLACE: 371>, 'RETURNING': <TokenType.RETURNING: 372>, 'REFERENCES': <TokenType.REFERENCES: 374>, 'RIGHT': <TokenType.RIGHT: 375>, 'RLIKE': <TokenType.RLIKE: 376>, 'ROLLBACK': <TokenType.ROLLBACK: 378>, 'ROLLUP': <TokenType.ROLLUP: 379>, 'ROW': <TokenType.ROW: 380>, 'ROWS': <TokenType.ROWS: 381>, 'SCHEMA': <TokenType.SCHEMA: 81>, 'SELECT': <TokenType.SELECT: 383>, 'SEMI': <TokenType.SEMI: 384>, 'SESSION': <TokenType.SESSION: 57>, 'SESSION_USER': <TokenType.SESSION_USER: 59>, 'SET': <TokenType.SET: 388>, 'SETTINGS': <TokenType.SETTINGS: 389>, 'SHOW': <TokenType.SHOW: 390>, 'SIMILAR TO': <TokenType.SIMILAR_TO: 391>, 'SOME': <TokenType.SOME: 392>, 'SORT BY': <TokenType.SORT_BY: 393>, 'SQL SECURITY': <TokenType.SQL_SECURITY: 395>, 'START WITH': <TokenType.START_WITH: 396>, 'STRAIGHT_JOIN': <TokenType.STRAIGHT_JOIN: 398>, 'TABLE': <TokenType.TABLE: 82>, 'TABLESAMPLE': <TokenType.TABLE_SAMPLE: 401>, 'TEMP': <TokenType.TEMPORARY: 403>, 'TEMPORARY': <TokenType.TEMPORARY: 403>, 'THEN': <TokenType.THEN: 405>, 'TRUE': <TokenType.TRUE: 406>, 'TRUNCATE': <TokenType.TRUNCATE: 407>, 'TRIGGER': <TokenType.TRIGGER: 408>, 'UNION': <TokenType.UNION: 410>, 'UNKNOWN': <TokenType.UNKNOWN: 212>, 'UNNEST': <TokenType.UNNEST: 411>, 'UNPIVOT': <TokenType.UNPIVOT: 412>, 'UPDATE': <TokenType.UPDATE: 413>, 'USE': <TokenType.USE: 414>, 'USING': <TokenType.USING: 415>, 'UUID': <TokenType.UUID: 169>, 'VALUES': <TokenType.VALUES: 416>, 'VIEW': <TokenType.VIEW: 418>, 'VOLATILE': <TokenType.VOLATILE: 420>, 'WHEN': <TokenType.WHEN: 422>, 'WHERE': <TokenType.WHERE: 423>, 'WINDOW': <TokenType.WINDOW: 424>, 'WITH': <TokenType.WITH: 425>, 'APPLY': <TokenType.APPLY: 221>, 'ARRAY': <TokenType.ARRAY: 222>, 'BIT': <TokenType.BIT: 95>, 'BOOL': <TokenType.BOOLEAN: 96>, 'BOOLEAN': <TokenType.BOOLEAN: 96>, 'BYTE': <TokenType.TINYINT: 97>, 'MEDIUMINT': <TokenType.MEDIUMINT: 101>, 'INT1': <TokenType.TINYINT: 97>, 'TINYINT': <TokenType.TINYINT: 97>, 'INT16': <TokenType.SMALLINT: 99>, 'SHORT': <TokenType.SMALLINT: 99>, 'SMALLINT': <TokenType.SMALLINT: 99>, 'HUGEINT': <TokenType.INT128: 108>, 'UHUGEINT': <TokenType.UINT128: 109>, 'INT2': <TokenType.SMALLINT: 99>, 'INTEGER': <TokenType.INT: 103>, 'INT': <TokenType.INT: 103>, 'INT4': <TokenType.INT: 103>, 'INT32': <TokenType.INT: 103>, 'INT64': <TokenType.BIGINT: 105>, 'INT128': <TokenType.INT128: 108>, 'INT256': <TokenType.INT256: 110>, 'LONG': <TokenType.BIGINT: 105>, 'BIGINT': <TokenType.BIGINT: 105>, 'INT8': <TokenType.TINYINT: 97>, 'UINT': <TokenType.UINT: 104>, 'UINT128': <TokenType.UINT128: 109>, 'UINT256': <TokenType.UINT256: 111>, 'DEC': <TokenType.DECIMAL: 115>, 'DECIMAL': <TokenType.DECIMAL: 115>, 'DECIMAL32': <TokenType.DECIMAL32: 116>, 'DECIMAL64': <TokenType.DECIMAL64: 117>, 'DECIMAL128': <TokenType.DECIMAL128: 118>, 'DECIMAL256': <TokenType.DECIMAL256: 119>, 'DECFLOAT': <TokenType.DECFLOAT: 120>, 'BIGDECIMAL': <TokenType.BIGDECIMAL: 122>, 'BIGNUMERIC': <TokenType.BIGDECIMAL: 122>, 'BIGNUM': <TokenType.BIGNUM: 107>, 'LIST': <TokenType.LIST: 317>, 'MAP': <TokenType.MAP: 320>, 'NULLABLE': <TokenType.NULLABLE: 172>, 'NUMBER': <TokenType.DECIMAL: 115>, 'NUMERIC': <TokenType.DECIMAL: 115>, 'FIXED': <TokenType.DECIMAL: 115>, 'REAL': <TokenType.FLOAT: 112>, 'FLOAT': <TokenType.DOUBLE: 113>, 'FLOAT4': <TokenType.FLOAT: 112>, 'FLOAT8': <TokenType.DOUBLE: 113>, 'DOUBLE': <TokenType.DOUBLE: 113>, 'DOUBLE PRECISION': <TokenType.DOUBLE: 113>, 'JSON': <TokenType.JSON: 139>, 'JSONB': <TokenType.JSONB: 140>, 'CHAR': <TokenType.CHAR: 123>, 'CHARACTER': <TokenType.CHAR: 123>, 'CHAR VARYING': <TokenType.VARCHAR: 125>, 'CHARACTER VARYING': <TokenType.VARCHAR: 125>, 'NCHAR': <TokenType.NCHAR: 124>, 'VARCHAR': <TokenType.VARCHAR: 125>, 'VARCHAR2': <TokenType.VARCHAR: 125>, 'NVARCHAR': <TokenType.NVARCHAR: 126>, 'NVARCHAR2': <TokenType.NVARCHAR: 126>, 'BPCHAR': <TokenType.BPCHAR: 127>, 'STR': <TokenType.TEXT: 128>, 'STRING': <TokenType.TEXT: 128>, 'TEXT': <TokenType.TEXT: 128>, 'LONGTEXT': <TokenType.LONGTEXT: 130>, 'MEDIUMTEXT': <TokenType.MEDIUMTEXT: 129>, 'TINYTEXT': <TokenType.TINYTEXT: 135>, 'CLOB': <TokenType.TEXT: 128>, 'LONGVARCHAR': <TokenType.TEXT: 128>, 'BINARY': <TokenType.BINARY: 137>, 'BLOB': <TokenType.VARBINARY: 138>, 'LONGBLOB': <TokenType.LONGBLOB: 133>, 'MEDIUMBLOB': <TokenType.MEDIUMBLOB: 132>, 'TINYBLOB': <TokenType.TINYBLOB: 134>, 'BYTEA': <TokenType.VARBINARY: 138>, 'VARBINARY': <TokenType.VARBINARY: 138>, 'TIME': <TokenType.TIME: 141>, 'TIMETZ': <TokenType.TIMETZ: 142>, 'TIME_NS': <TokenType.TIME_NS: 143>, 'TIMESTAMP': <TokenType.TIMESTAMP: 144>, 'TIMESTAMPTZ': <TokenType.TIMESTAMPTZ: 145>, 'TIMESTAMPLTZ': <TokenType.TIMESTAMPLTZ: 146>, 'TIMESTAMP_LTZ': <TokenType.TIMESTAMPLTZ: 146>, 'TIMESTAMPNTZ': <TokenType.TIMESTAMPNTZ: 147>, 'TIMESTAMP_NTZ': <TokenType.TIMESTAMPNTZ: 147>, 'DATE': <TokenType.DATE: 155>, 'DATETIME': <TokenType.DATETIME: 151>, 'INT4RANGE': <TokenType.INT4RANGE: 157>, 'INT4MULTIRANGE': <TokenType.INT4MULTIRANGE: 158>, 'INT8RANGE': <TokenType.INT8RANGE: 159>, 'INT8MULTIRANGE': <TokenType.INT8MULTIRANGE: 160>, 'NUMRANGE': <TokenType.NUMRANGE: 161>, 'NUMMULTIRANGE': <TokenType.NUMMULTIRANGE: 162>, 'TSRANGE': <TokenType.TSRANGE: 163>, 'TSMULTIRANGE': <TokenType.TSMULTIRANGE: 164>, 'TSTZRANGE': <TokenType.TSTZRANGE: 165>, 'TSTZMULTIRANGE': <TokenType.TSTZMULTIRANGE: 166>, 'DATERANGE': <TokenType.DATERANGE: 167>, 'DATEMULTIRANGE': <TokenType.DATEMULTIRANGE: 168>, 'UNIQUE': <TokenType.UNIQUE: 426>, 'VECTOR': <TokenType.VECTOR: 213>, 'STRUCT': <TokenType.STRUCT: 399>, 'SEQUENCE': <TokenType.SEQUENCE: 386>, 'VARIANT': <TokenType.VARIANT: 196>, 'ALTER': <TokenType.ALTER: 217>, 'ANALYZE': <TokenType.ANALYZE: 435>, 'CALL': <TokenType.COMMAND: 235>, 'COMMENT': <TokenType.COMMENT: 236>, 'EXPLAIN': <TokenType.COMMAND: 235>, 'GRANT': <TokenType.GRANT: 286>, 'REVOKE': <TokenType.REVOKE: 373>, 'OPTIMIZE': <TokenType.COMMAND: 235>, 'PREPARE': <TokenType.COMMAND: 235>, 'VACUUM': <TokenType.COMMAND: 235>, 'USER-DEFINED': <TokenType.USERDEFINED: 191>, 'FOR VERSION': <TokenType.VERSION_SNAPSHOT: 430>, 'FOR TIMESTAMP': <TokenType.TIMESTAMP_SNAPSHOT: 431>, 'BYTEINT': <TokenType.INT: 103>, 'FILE://': <TokenType.URI_START: 70>, 'FILE FORMAT': <TokenType.FILE_FORMAT: 272>, 'GET': <TokenType.GET: 283>, 'INTEGRATION': <TokenType.INTEGRATION: 299>, 'MATCH_CONDITION': <TokenType.MATCH_CONDITION: 322>, 'MATCH_RECOGNIZE': <TokenType.MATCH_RECOGNIZE: 323>, 'MINUS': <TokenType.EXCEPT: 266>, 'NCHAR VARYING': <TokenType.VARCHAR: 125>, 'PACKAGE': <TokenType.PACKAGE: 348>, 'POLICY': <TokenType.POLICY: 354>, 'POOL': <TokenType.POOL: 355>, 'PUT': <TokenType.PUT: 363>, 'REMOVE': <TokenType.COMMAND: 235>, 'RM': <TokenType.COMMAND: 235>, 'ROLE': <TokenType.ROLE: 377>, 'RULE': <TokenType.RULE: 382>, 'SAMPLE': <TokenType.TABLE_SAMPLE: 401>, 'SEMANTIC VIEW': <TokenType.SEMANTIC_VIEW: 419>, 'SQL_DOUBLE': <TokenType.DOUBLE: 113>, 'SQL_VARCHAR': <TokenType.VARCHAR: 125>, 'STAGE': <TokenType.STAGE: 84>, 'STORAGE INTEGRATION': <TokenType.STORAGE_INTEGRATION: 397>, 'STREAMLIT': <TokenType.STREAMLIT: 86>, 'TAG': <TokenType.TAG: 402>, 'TIMESTAMP_TZ': <TokenType.TIMESTAMPTZ: 145>, 'TOP': <TokenType.TOP: 404>, 'VOLUME': <TokenType.VOLUME: 421>, 'WAREHOUSE': <TokenType.WAREHOUSE: 83>}
SINGLE_TOKENS = {'(': <TokenType.L_PAREN: 1>, ')': <TokenType.R_PAREN: 2>, '[': <TokenType.L_BRACKET: 3>, ']': <TokenType.R_BRACKET: 4>, '{': <TokenType.L_BRACE: 5>, '}': <TokenType.R_BRACE: 6>, '&': <TokenType.AMP: 36>, '^': <TokenType.CARET: 42>, ':': <TokenType.COLON: 11>, ',': <TokenType.COMMA: 7>, '.': <TokenType.DOT: 8>, '-': <TokenType.DASH: 9>, '=': <TokenType.EQ: 28>, '>': <TokenType.GT: 25>, '<': <TokenType.LT: 23>, '%': <TokenType.MOD: 326>, '!': <TokenType.EXCLAMATION: 69>, '|': <TokenType.PIPE: 39>, '+': <TokenType.PLUS: 10>, ';': <TokenType.SEMICOLON: 19>, '/': <TokenType.SLASH: 22>, '\\': <TokenType.BACKSLASH: 21>, '*': <TokenType.STAR: 20>, '~': <TokenType.TILDE: 44>, '?': <TokenType.PLACEHOLDER: 353>, '@': <TokenType.PARAMETER: 56>, '#': <TokenType.HASH: 48>, "'": <TokenType.UNKNOWN: 212>, '`': <TokenType.UNKNOWN: 212>, '"': <TokenType.UNKNOWN: 212>, '$': <TokenType.PARAMETER: 56>}
VAR_SINGLE_TOKENS = {'$'}
COMMANDS = {<TokenType.RENAME: 370>, <TokenType.EXECUTE: 267>, <TokenType.FETCH: 270>, <TokenType.COMMAND: 235>}
BYTE_STRING_ESCAPES: ClassVar[list[str]] = ['\\', "'"]