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203 lines (184 loc) · 7.2 KB
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from __future__ import annotations
from sqlglot import exp, jsonpath, tokens
from sqlglot.dialects.dialect import (
Dialect,
NormalizationStrategy,
)
from sqlglot.generators.snowflake import SnowflakeGenerator
from sqlglot.parsers.snowflake import (
SnowflakeParser,
)
from sqlglot.tokens import TokenType
from sqlglot.typing.snowflake import EXPRESSION_METADATA
class Snowflake(Dialect):
# https://docs.snowflake.com/en/sql-reference/identifiers-syntax
NORMALIZATION_STRATEGY = NormalizationStrategy.UPPERCASE
# https://docs.snowflake.com/en/sql-reference/data-types-text#escape-sequences
UNESCAPED_SEQUENCES = {"\\a": "a", "\\v": "v"}
NULL_ORDERING = "nulls_are_large"
TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
SUPPORTS_USER_DEFINED_TYPES = False
PREFER_CTE_ALIAS_COLUMN = True
SUPPORTS_POSITIONAL_COLUMN_REFS = True
TABLESAMPLE_SIZE_IS_PERCENT = True
COPY_PARAMS_ARE_CSV = False
ARRAY_AGG_INCLUDES_NULLS = None
ARRAY_FUNCS_PROPAGATES_NULLS = True
ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN = False
ALTER_TABLE_DROP_REQUIRED_FOR_EACH_COLUMN = False
TRY_CAST_REQUIRES_STRING = True
SUPPORTS_ALIAS_REFS_IN_JOIN_CONDITIONS = True
LEAST_GREATEST_IGNORES_NULLS = False
UUID_IS_STRING_TYPE = True
STAR_ILIKE_BACKSLASH_ESCAPE = True
# https://docs.snowflake.com/en/sql-reference/functions/split_to_table
DEFAULT_FUNCTIONS_COLUMN_NAMES = {
exp.SplitToTable: ("seq", "index", "value"),
exp.StrtokSplitToTable: ("seq", "index", "value"),
}
EXPRESSION_METADATA = EXPRESSION_METADATA.copy()
# https://docs.snowflake.com/en/en/sql-reference/functions/initcap
INITCAP_DEFAULT_DELIMITER_CHARS = ' \t\n\r\f\v!?@"^#$&~_,.:;+\\-*%/|\\[\\](){}<>'
INVERSE_TIME_MAPPING = {
"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'
}
TIME_MAPPING = {
"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", # %f_ internal representation with precision specified
"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", # internal representation for ±HH:MM
"tzh:tzm": "%:z",
"TZH": "%-z", # internal representation ±HH
"tzh": "%-z",
'"T"': "T", # remove the optional double quotes around the separator between the date and time
# Seems like Snowflake treats AM/PM in the format string as equivalent,
# only the time (stamp) value's AM/PM affects the output
"AM": "%p",
"am": "%p",
"PM": "%p",
"pm": "%p",
}
DATE_PART_MAPPING = {
**Dialect.DATE_PART_MAPPING,
"ISOWEEK": "WEEKISO",
# The base Dialect maps EPOCH_SECOND -> EPOCH, but we need to preserve
# EPOCH_SECOND as a distinct value for two reasons:
# 1. Type annotation: EPOCH_SECOND returns BIGINT, while EPOCH returns DOUBLE
# 2. Transpilation: DuckDB's EPOCH() returns float, so we cast EPOCH_SECOND
# to BIGINT to match Snowflake's integer behavior
# Without this override, EXTRACT(EPOCH_SECOND FROM ts) would be normalized
# to EXTRACT(EPOCH FROM ts) and lose the integer semantics.
"EPOCH_SECOND": "EPOCH_SECOND",
"EPOCH_SECONDS": "EPOCH_SECOND",
}
PSEUDOCOLUMNS = {"LEVEL"}
def can_quote(self, identifier: exp.Identifier, identify: str | bool = "safe") -> bool:
# This disables quoting DUAL in SELECT ... FROM DUAL, because Snowflake treats an
# unquoted DUAL keyword in a special way and does not map it to a user-defined table
return super().can_quote(identifier, identify) and not (
isinstance(identifier.parent, exp.Table)
and not identifier.quoted
and identifier.name.lower() == "dual"
)
class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
SINGLE_TOKENS = jsonpath.JSONPathTokenizer.SINGLE_TOKENS.copy()
SINGLE_TOKENS.pop("$")
Parser = SnowflakeParser
class Tokenizer(tokens.Tokenizer):
STRING_ESCAPES = ["\\", "'"]
NUMERIC_ESCAPES = {"x": (16, 2, 2, 0xFF), "u": (16, 4, 4, 0xFFFF), "0": (8, 1, 3, 0xFF)}
DROP_UNKNOWN_ESCAPES = True
HEX_STRINGS = [("x'", "'"), ("X'", "'")]
RAW_STRINGS = ["$$"]
COMMENTS = ["--", "//", ("/*", "*/")]
NESTED_COMMENTS = False
KEYWORDS = {
**tokens.Tokenizer.KEYWORDS,
"(+)": TokenType.JOIN_MARKER,
"BYTEINT": TokenType.INT,
"FILE://": TokenType.URI_START,
"FILE FORMAT": TokenType.FILE_FORMAT,
"GET": TokenType.GET,
"INTEGRATION": TokenType.INTEGRATION,
"LS": TokenType.LIST,
"MATCH_CONDITION": TokenType.MATCH_CONDITION,
"MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
"MINUS": TokenType.EXCEPT,
"NCHAR VARYING": TokenType.VARCHAR,
"PACKAGE": TokenType.PACKAGE,
"POLICY": TokenType.POLICY,
"POOL": TokenType.POOL,
"PUT": TokenType.PUT,
"UNDROP": TokenType.UNDROP,
"REMOVE": TokenType.COMMAND,
"RM": TokenType.COMMAND,
"ROLE": TokenType.ROLE,
"RULE": TokenType.RULE,
"SAMPLE": TokenType.TABLE_SAMPLE,
"SEMANTIC VIEW": TokenType.SEMANTIC_VIEW,
"SQL_DOUBLE": TokenType.DOUBLE,
"SQL_VARCHAR": TokenType.VARCHAR,
"STAGE": TokenType.STAGE,
"STORAGE INTEGRATION": TokenType.STORAGE_INTEGRATION,
"STREAMLIT": TokenType.STREAMLIT,
"TAG": TokenType.TAG,
"TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
"TOP": TokenType.TOP,
"VOLUME": TokenType.VOLUME,
"WAREHOUSE": TokenType.WAREHOUSE,
# https://docs.snowflake.com/en/sql-reference/data-types-numeric#float
# FLOAT is a synonym for DOUBLE in Snowflake
"FLOAT": TokenType.DOUBLE,
}
KEYWORDS.pop("/*+")
SINGLE_TOKENS = {
**tokens.Tokenizer.SINGLE_TOKENS,
"$": TokenType.PARAMETER,
"!": TokenType.EXCLAMATION,
}
VAR_SINGLE_TOKENS = {"$"}
COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
Generator = SnowflakeGenerator