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from __future__ import annotations
import typing as t
from sqlglot import exp, generator, parser, tokens, transforms
from sqlglot.dialects.dialect import Dialect, max_or_greatest, min_or_least, rename_func
from sqlglot.tokens import TokenType
class Teradata(Dialect):
SUPPORTS_SEMI_ANTI_JOIN = False
TYPED_DIVISION = True
TIME_MAPPING = {
"Y": "%Y",
"YYYY": "%Y",
"YY": "%y",
"MMMM": "%B",
"MMM": "%b",
"DD": "%d",
"D": "%-d",
"HH": "%H",
"H": "%-H",
"MM": "%M",
"M": "%-M",
"SS": "%S",
"S": "%-S",
"SSSSSS": "%f",
"E": "%a",
"EE": "%a",
"EEE": "%a",
"EEEE": "%A",
}
class Tokenizer(tokens.Tokenizer):
# https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Comparison-Operators-and-Functions/Comparison-Operators/ANSI-Compliance
# https://docs.teradata.com/r/SQL-Functions-Operators-Expressions-and-Predicates/June-2017/Arithmetic-Trigonometric-Hyperbolic-Operators/Functions
KEYWORDS = {
**tokens.Tokenizer.KEYWORDS,
"**": TokenType.DSTAR,
"^=": TokenType.NEQ,
"BYTEINT": TokenType.SMALLINT,
"COLLECT": TokenType.COMMAND,
"DEL": TokenType.DELETE,
"EQ": TokenType.EQ,
"GE": TokenType.GTE,
"GT": TokenType.GT,
"HELP": TokenType.COMMAND,
"INS": TokenType.INSERT,
"LE": TokenType.LTE,
"LT": TokenType.LT,
"MINUS": TokenType.EXCEPT,
"MOD": TokenType.MOD,
"NE": TokenType.NEQ,
"NOT=": TokenType.NEQ,
"SAMPLE": TokenType.TABLE_SAMPLE,
"SEL": TokenType.SELECT,
"ST_GEOMETRY": TokenType.GEOMETRY,
"TOP": TokenType.TOP,
"UPD": TokenType.UPDATE,
}
# Teradata does not support % as a modulo operator
SINGLE_TOKENS = {**tokens.Tokenizer.SINGLE_TOKENS}
SINGLE_TOKENS.pop("%")
class Parser(parser.Parser):
TABLESAMPLE_CSV = True
CHARSET_TRANSLATORS = {
"GRAPHIC_TO_KANJISJIS",
"GRAPHIC_TO_LATIN",
"GRAPHIC_TO_UNICODE",
"GRAPHIC_TO_UNICODE_PadSpace",
"KANJI1_KanjiEBCDIC_TO_UNICODE",
"KANJI1_KanjiEUC_TO_UNICODE",
"KANJI1_KANJISJIS_TO_UNICODE",
"KANJI1_SBC_TO_UNICODE",
"KANJISJIS_TO_GRAPHIC",
"KANJISJIS_TO_LATIN",
"KANJISJIS_TO_UNICODE",
"LATIN_TO_GRAPHIC",
"LATIN_TO_KANJISJIS",
"LATIN_TO_UNICODE",
"LOCALE_TO_UNICODE",
"UNICODE_TO_GRAPHIC",
"UNICODE_TO_GRAPHIC_PadGraphic",
"UNICODE_TO_GRAPHIC_VarGraphic",
"UNICODE_TO_KANJI1_KanjiEBCDIC",
"UNICODE_TO_KANJI1_KanjiEUC",
"UNICODE_TO_KANJI1_KANJISJIS",
"UNICODE_TO_KANJI1_SBC",
"UNICODE_TO_KANJISJIS",
"UNICODE_TO_LATIN",
"UNICODE_TO_LOCALE",
"UNICODE_TO_UNICODE_FoldSpace",
"UNICODE_TO_UNICODE_Fullwidth",
"UNICODE_TO_UNICODE_Halfwidth",
"UNICODE_TO_UNICODE_NFC",
"UNICODE_TO_UNICODE_NFD",
"UNICODE_TO_UNICODE_NFKC",
"UNICODE_TO_UNICODE_NFKD",
}
FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS}
FUNC_TOKENS.remove(TokenType.REPLACE)
STATEMENT_PARSERS = {
**parser.Parser.STATEMENT_PARSERS,
TokenType.DATABASE: lambda self: self.expression(
exp.Use, this=self._parse_table(schema=False)
),
TokenType.REPLACE: lambda self: self._parse_create(),
}
FUNCTION_PARSERS = {
**parser.Parser.FUNCTION_PARSERS,
# https://docs.teradata.com/r/SQL-Functions-Operators-Expressions-and-Predicates/June-2017/Data-Type-Conversions/TRYCAST
"TRYCAST": parser.Parser.FUNCTION_PARSERS["TRY_CAST"],
"RANGE_N": lambda self: self._parse_rangen(),
"TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST),
}
EXPONENT = {
TokenType.DSTAR: exp.Pow,
}
def _parse_translate(self, strict: bool) -> exp.Expression:
this = self._parse_conjunction()
if not self._match(TokenType.USING):
self.raise_error("Expected USING in TRANSLATE")
if self._match_texts(self.CHARSET_TRANSLATORS):
charset_split = self._prev.text.split("_TO_")
to = self.expression(exp.CharacterSet, this=charset_split[1])
else:
self.raise_error("Expected a character set translator after USING in TRANSLATE")
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
# FROM before SET in Teradata UPDATE syntax
# https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause
def _parse_update(self) -> exp.Update:
return self.expression(
exp.Update,
**{ # type: ignore
"this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS),
"from": self._parse_from(joins=True),
"expressions": self._match(TokenType.SET)
and self._parse_csv(self._parse_equality),
"where": self._parse_where(),
},
)
def _parse_rangen(self):
this = self._parse_id_var()
self._match(TokenType.BETWEEN)
expressions = self._parse_csv(self._parse_conjunction)
each = self._match_text_seq("EACH") and self._parse_conjunction()
return self.expression(exp.RangeN, this=this, expressions=expressions, each=each)
class Generator(generator.Generator):
LIMIT_IS_TOP = True
JOIN_HINTS = False
TABLE_HINTS = False
QUERY_HINTS = False
TYPE_MAPPING = {
**generator.Generator.TYPE_MAPPING,
exp.DataType.Type.GEOMETRY: "ST_GEOMETRY",
}
PROPERTIES_LOCATION = {
**generator.Generator.PROPERTIES_LOCATION,
exp.OnCommitProperty: exp.Properties.Location.POST_INDEX,
exp.PartitionedByProperty: exp.Properties.Location.POST_EXPRESSION,
exp.StabilityProperty: exp.Properties.Location.POST_CREATE,
}
TRANSFORMS = {
**generator.Generator.TRANSFORMS,
exp.ArgMax: rename_func("MAX_BY"),
exp.ArgMin: rename_func("MIN_BY"),
exp.Max: max_or_greatest,
exp.Min: min_or_least,
exp.Pow: lambda self, e: self.binary(e, "**"),
exp.Select: transforms.preprocess(
[transforms.eliminate_distinct_on, transforms.eliminate_semi_and_anti_joins]
),
exp.StrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE FORMAT {self.format_time(e)})",
exp.ToChar: lambda self, e: self.function_fallback_sql(e),
exp.Use: lambda self, e: f"DATABASE {self.sql(e, 'this')}",
}
def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
if expression.to.this == exp.DataType.Type.UNKNOWN and expression.args.get("format"):
# We don't actually want to print the unknown type in CAST(<value> AS FORMAT <format>)
expression.to.pop()
return super().cast_sql(expression, safe_prefix=safe_prefix)
def trycast_sql(self, expression: exp.TryCast) -> str:
return self.cast_sql(expression, safe_prefix="TRY")
def tablesample_sql(
self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
) -> str:
return f"{self.sql(expression, 'this')} SAMPLE {self.expressions(expression)}"
def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
return f"PARTITION BY {self.sql(expression, 'this')}"
# FROM before SET in Teradata UPDATE syntax
# https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause
def update_sql(self, expression: exp.Update) -> str:
this = self.sql(expression, "this")
from_sql = self.sql(expression, "from")
set_sql = self.expressions(expression, flat=True)
where_sql = self.sql(expression, "where")
sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}"
return self.prepend_ctes(expression, sql)
def mod_sql(self, expression: exp.Mod) -> str:
return self.binary(expression, "MOD")
def datatype_sql(self, expression: exp.DataType) -> str:
type_sql = super().datatype_sql(expression)
prefix_sql = expression.args.get("prefix")
return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
def rangen_sql(self, expression: exp.RangeN) -> str:
this = self.sql(expression, "this")
expressions_sql = self.expressions(expression)
each_sql = self.sql(expression, "each")
each_sql = f" EACH {each_sql}" if each_sql else ""
return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})"
def createable_sql(self, expression: exp.Create, locations: t.DefaultDict) -> str:
kind = self.sql(expression, "kind").upper()
if kind == "TABLE" and locations.get(exp.Properties.Location.POST_NAME):
this_name = self.sql(expression.this, "this")
this_properties = self.properties(
exp.Properties(expressions=locations[exp.Properties.Location.POST_NAME]),
wrapped=False,
prefix=",",
)
this_schema = self.schema_columns_sql(expression.this)
return f"{this_name}{this_properties}{self.sep()}{this_schema}"
return super().createable_sql(expression, locations)
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