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from __future__ import annotations
import typing as t
from sqlglot import exp, generator, parser, tokens
from sqlglot.dialects.dialect import Dialect, inline_array_sql, var_map_sql
from sqlglot.errors import ParseError
from sqlglot.helper import ensure_list, seq_get
from sqlglot.parser import parse_var_map
from sqlglot.tokens import TokenType
def _lower_func(sql: str) -> str:
index = sql.index("(")
return sql[:index].lower() + sql[index:]
class ClickHouse(Dialect):
normalize_functions = None
null_ordering = "nulls_are_last"
class Tokenizer(tokens.Tokenizer):
COMMENTS = ["--", "#", "#!", ("/*", "*/")]
IDENTIFIERS = ['"', "`"]
KEYWORDS = {
**tokens.Tokenizer.KEYWORDS,
"ASOF": TokenType.ASOF,
"GLOBAL": TokenType.GLOBAL,
"DATETIME64": TokenType.DATETIME,
"FINAL": TokenType.FINAL,
"FLOAT32": TokenType.FLOAT,
"FLOAT64": TokenType.DOUBLE,
"INT16": TokenType.SMALLINT,
"INT32": TokenType.INT,
"INT64": TokenType.BIGINT,
"INT8": TokenType.TINYINT,
"TUPLE": TokenType.STRUCT,
}
class Parser(parser.Parser):
FUNCTIONS = {
**parser.Parser.FUNCTIONS, # type: ignore
"EXPONENTIALTIMEDECAYEDAVG": lambda params, args: exp.ExponentialTimeDecayedAvg(
this=seq_get(args, 0),
time=seq_get(args, 1),
decay=seq_get(params, 0),
),
"GROUPUNIQARRAY": lambda params, args: exp.GroupUniqArray(
this=seq_get(args, 0), size=seq_get(params, 0)
),
"HISTOGRAM": lambda params, args: exp.Histogram(
this=seq_get(args, 0), bins=seq_get(params, 0)
),
"MAP": parse_var_map,
"MATCH": exp.RegexpLike.from_arg_list,
"QUANTILE": lambda params, args: exp.Quantile(this=args, quantile=params),
"QUANTILES": lambda params, args: exp.Quantiles(parameters=params, expressions=args),
"QUANTILEIF": lambda params, args: exp.QuantileIf(parameters=params, expressions=args),
}
FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy()
FUNCTION_PARSERS.pop("MATCH")
RANGE_PARSERS = {
**parser.Parser.RANGE_PARSERS,
TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN)
and self._parse_in(this, is_global=True),
}
JOIN_KINDS = {*parser.Parser.JOIN_KINDS, TokenType.ANY, TokenType.ASOF} # type: ignore
TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {TokenType.ANY} # type: ignore
LOG_DEFAULTS_TO_LN = True
def _parse_in(
self, this: t.Optional[exp.Expression], is_global: bool = False
) -> exp.Expression:
this = super()._parse_in(this)
this.set("is_global", is_global)
return this
def _parse_table(
self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
) -> t.Optional[exp.Expression]:
this = super()._parse_table(schema=schema, alias_tokens=alias_tokens)
if self._match(TokenType.FINAL):
this = self.expression(exp.Final, this=this)
return this
def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
return super()._parse_position(haystack_first=True)
# https://clickhouse.com/docs/en/sql-reference/statements/select/with/
def _parse_cte(self) -> exp.Expression:
index = self._index
try:
# WITH <identifier> AS <subquery expression>
return super()._parse_cte()
except ParseError:
# WITH <expression> AS <identifier>
self._retreat(index)
statement = self._parse_statement()
if statement and isinstance(statement.this, exp.Alias):
self.raise_error("Expected CTE to have alias")
return self.expression(exp.CTE, this=statement, alias=statement and statement.this)
class Generator(generator.Generator):
STRUCT_DELIMITER = ("(", ")")
TYPE_MAPPING = {
**generator.Generator.TYPE_MAPPING, # type: ignore
exp.DataType.Type.NULLABLE: "Nullable",
exp.DataType.Type.DATETIME: "DateTime64",
exp.DataType.Type.MAP: "Map",
exp.DataType.Type.ARRAY: "Array",
exp.DataType.Type.STRUCT: "Tuple",
exp.DataType.Type.TINYINT: "Int8",
exp.DataType.Type.SMALLINT: "Int16",
exp.DataType.Type.INT: "Int32",
exp.DataType.Type.BIGINT: "Int64",
exp.DataType.Type.FLOAT: "Float32",
exp.DataType.Type.DOUBLE: "Float64",
}
TRANSFORMS = {
**generator.Generator.TRANSFORMS, # type: ignore
exp.Array: inline_array_sql,
exp.ExponentialTimeDecayedAvg: lambda self, e: f"exponentialTimeDecayedAvg{self._param_args_sql(e, 'decay', ['this', 'time'])}",
exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
exp.GroupUniqArray: lambda self, e: f"groupUniqArray{self._param_args_sql(e, 'size', 'this')}",
exp.Histogram: lambda self, e: f"histogram{self._param_args_sql(e, 'bins', 'this')}",
exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
exp.Quantile: lambda self, e: f"quantile{self._param_args_sql(e, 'quantile', 'this')}",
exp.Quantiles: lambda self, e: f"quantiles{self._param_args_sql(e, 'parameters', 'expressions')}",
exp.QuantileIf: lambda self, e: f"quantileIf{self._param_args_sql(e, 'parameters', 'expressions')}",
exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
}
PROPERTIES_LOCATION = {
**generator.Generator.PROPERTIES_LOCATION, # type: ignore
exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
}
JOIN_HINTS = False
TABLE_HINTS = False
EXPLICIT_UNION = True
def _param_args_sql(
self,
expression: exp.Expression,
param_names: str | t.List[str],
arg_names: str | t.List[str],
) -> str:
params = self.format_args(
*(
arg
for name in ensure_list(param_names)
for arg in ensure_list(expression.args.get(name))
)
)
args = self.format_args(
*(
arg
for name in ensure_list(arg_names)
for arg in ensure_list(expression.args.get(name))
)
)
return f"({params})({args})"
def cte_sql(self, expression: exp.CTE) -> str:
if isinstance(expression.this, exp.Alias):
return self.sql(expression, "this")
return super().cte_sql(expression)
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