375 lines
15 KiB
Python
375 lines
15 KiB
Python
from __future__ import annotations
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import typing as t
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from sqlglot import exp, generator, parser, tokens
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from sqlglot.dialects.dialect import (
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Dialect,
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approx_count_distinct_sql,
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arg_max_or_min_no_count,
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arrow_json_extract_scalar_sql,
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arrow_json_extract_sql,
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binary_from_function,
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bool_xor_sql,
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date_trunc_to_time,
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datestrtodate_sql,
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encode_decode_sql,
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format_time_lambda,
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inline_array_sql,
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no_comment_column_constraint_sql,
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no_properties_sql,
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no_safe_divide_sql,
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no_timestamp_sql,
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pivot_column_names,
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regexp_extract_sql,
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rename_func,
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str_position_sql,
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str_to_time_sql,
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timestamptrunc_sql,
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timestrtotime_sql,
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ts_or_ds_to_date_sql,
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)
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from sqlglot.helper import seq_get
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from sqlglot.tokens import TokenType
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def _ts_or_ds_add_sql(self: DuckDB.Generator, expression: exp.TsOrDsAdd) -> str:
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this = self.sql(expression, "this")
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unit = self.sql(expression, "unit").strip("'") or "DAY"
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return f"CAST({this} AS DATE) + {self.sql(exp.Interval(this=expression.expression.copy(), unit=unit))}"
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def _date_delta_sql(self: DuckDB.Generator, expression: exp.DateAdd | exp.DateSub) -> str:
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this = self.sql(expression, "this")
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unit = self.sql(expression, "unit").strip("'") or "DAY"
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op = "+" if isinstance(expression, exp.DateAdd) else "-"
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return f"{this} {op} {self.sql(exp.Interval(this=expression.expression.copy(), unit=unit))}"
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# BigQuery -> DuckDB conversion for the DATE function
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def _date_sql(self: DuckDB.Generator, expression: exp.Date) -> str:
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result = f"CAST({self.sql(expression, 'this')} AS DATE)"
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zone = self.sql(expression, "zone")
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if zone:
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date_str = self.func("STRFTIME", result, "'%d/%m/%Y'")
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date_str = f"{date_str} || ' ' || {zone}"
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# This will create a TIMESTAMP with time zone information
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result = self.func("STRPTIME", date_str, "'%d/%m/%Y %Z'")
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return result
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def _array_sort_sql(self: DuckDB.Generator, expression: exp.ArraySort) -> str:
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if expression.expression:
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self.unsupported("DUCKDB ARRAY_SORT does not support a comparator")
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return f"ARRAY_SORT({self.sql(expression, 'this')})"
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def _sort_array_sql(self: DuckDB.Generator, expression: exp.SortArray) -> str:
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this = self.sql(expression, "this")
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if expression.args.get("asc") == exp.false():
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return f"ARRAY_REVERSE_SORT({this})"
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return f"ARRAY_SORT({this})"
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def _sort_array_reverse(args: t.List) -> exp.Expression:
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return exp.SortArray(this=seq_get(args, 0), asc=exp.false())
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def _parse_date_diff(args: t.List) -> exp.Expression:
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return exp.DateDiff(this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0))
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def _struct_sql(self: DuckDB.Generator, expression: exp.Struct) -> str:
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args = [
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f"'{e.name or e.this.name}': {self.sql(e, 'expression')}" for e in expression.expressions
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]
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return f"{{{', '.join(args)}}}"
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def _datatype_sql(self: DuckDB.Generator, expression: exp.DataType) -> str:
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if expression.is_type("array"):
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return f"{self.expressions(expression, flat=True)}[]"
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# Type TIMESTAMP / TIME WITH TIME ZONE does not support any modifiers
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if expression.is_type("timestamptz", "timetz"):
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return expression.this.value
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return self.datatype_sql(expression)
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def _json_format_sql(self: DuckDB.Generator, expression: exp.JSONFormat) -> str:
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sql = self.func("TO_JSON", expression.this, expression.args.get("options"))
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return f"CAST({sql} AS TEXT)"
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class DuckDB(Dialect):
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NULL_ORDERING = "nulls_are_last"
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SUPPORTS_USER_DEFINED_TYPES = False
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# https://duckdb.org/docs/sql/introduction.html#creating-a-new-table
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RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
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class Tokenizer(tokens.Tokenizer):
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KEYWORDS = {
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**tokens.Tokenizer.KEYWORDS,
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":=": TokenType.EQ,
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"//": TokenType.DIV,
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"ATTACH": TokenType.COMMAND,
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"BINARY": TokenType.VARBINARY,
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"BITSTRING": TokenType.BIT,
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"BPCHAR": TokenType.TEXT,
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"CHAR": TokenType.TEXT,
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"CHARACTER VARYING": TokenType.TEXT,
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"EXCLUDE": TokenType.EXCEPT,
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"HUGEINT": TokenType.INT128,
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"INT1": TokenType.TINYINT,
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"LOGICAL": TokenType.BOOLEAN,
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"PIVOT_WIDER": TokenType.PIVOT,
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"SIGNED": TokenType.INT,
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"STRING": TokenType.VARCHAR,
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"UBIGINT": TokenType.UBIGINT,
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"UINTEGER": TokenType.UINT,
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"USMALLINT": TokenType.USMALLINT,
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"UTINYINT": TokenType.UTINYINT,
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"TIMESTAMP_S": TokenType.TIMESTAMP_S,
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"TIMESTAMP_MS": TokenType.TIMESTAMP_MS,
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"TIMESTAMP_NS": TokenType.TIMESTAMP_NS,
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"TIMESTAMP_US": TokenType.TIMESTAMP,
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}
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class Parser(parser.Parser):
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CONCAT_NULL_OUTPUTS_STRING = True
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BITWISE = {
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**parser.Parser.BITWISE,
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TokenType.TILDA: exp.RegexpLike,
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}
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FUNCTIONS = {
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**parser.Parser.FUNCTIONS,
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"ARRAY_LENGTH": exp.ArraySize.from_arg_list,
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"ARRAY_SORT": exp.SortArray.from_arg_list,
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"ARRAY_REVERSE_SORT": _sort_array_reverse,
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"DATEDIFF": _parse_date_diff,
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"DATE_DIFF": _parse_date_diff,
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"DATE_TRUNC": date_trunc_to_time,
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"DATETRUNC": date_trunc_to_time,
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"EPOCH": exp.TimeToUnix.from_arg_list,
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"EPOCH_MS": lambda args: exp.UnixToTime(
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this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000))
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),
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"LIST_REVERSE_SORT": _sort_array_reverse,
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"LIST_SORT": exp.SortArray.from_arg_list,
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"LIST_VALUE": exp.Array.from_arg_list,
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"MEDIAN": lambda args: exp.PercentileCont(
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this=seq_get(args, 0), expression=exp.Literal.number(0.5)
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),
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"QUANTILE_CONT": exp.PercentileCont.from_arg_list,
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"QUANTILE_DISC": exp.PercentileDisc.from_arg_list,
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"REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
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this=seq_get(args, 0), expression=seq_get(args, 1), group=seq_get(args, 2)
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),
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"REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
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"REGEXP_REPLACE": lambda args: exp.RegexpReplace(
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this=seq_get(args, 0),
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expression=seq_get(args, 1),
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replacement=seq_get(args, 2),
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modifiers=seq_get(args, 3),
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),
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"STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
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"STRING_SPLIT": exp.Split.from_arg_list,
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"STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
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"STRING_TO_ARRAY": exp.Split.from_arg_list,
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"STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
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"STRUCT_PACK": exp.Struct.from_arg_list,
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"STR_SPLIT": exp.Split.from_arg_list,
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"STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
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"TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
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"UNNEST": exp.Explode.from_arg_list,
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"XOR": binary_from_function(exp.BitwiseXor),
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}
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FUNCTION_PARSERS = {
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**parser.Parser.FUNCTION_PARSERS,
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"DECODE": lambda self: self.expression(
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exp.Decode, this=self._parse_conjunction(), charset=exp.Literal.string("utf-8")
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),
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"ENCODE": lambda self: self.expression(
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exp.Encode, this=self._parse_conjunction(), charset=exp.Literal.string("utf-8")
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),
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}
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TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {
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TokenType.SEMI,
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TokenType.ANTI,
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}
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def _parse_types(
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self, check_func: bool = False, schema: bool = False, allow_identifiers: bool = True
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) -> t.Optional[exp.Expression]:
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this = super()._parse_types(
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check_func=check_func, schema=schema, allow_identifiers=allow_identifiers
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)
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# DuckDB treats NUMERIC and DECIMAL without precision as DECIMAL(18, 3)
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# See: https://duckdb.org/docs/sql/data_types/numeric
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if (
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isinstance(this, exp.DataType)
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and this.is_type("numeric", "decimal")
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and not this.expressions
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):
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return exp.DataType.build("DECIMAL(18, 3)")
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return this
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def _parse_struct_types(self) -> t.Optional[exp.Expression]:
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return self._parse_field_def()
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def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
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if len(aggregations) == 1:
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return super()._pivot_column_names(aggregations)
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return pivot_column_names(aggregations, dialect="duckdb")
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class Generator(generator.Generator):
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JOIN_HINTS = False
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TABLE_HINTS = False
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QUERY_HINTS = False
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LIMIT_FETCH = "LIMIT"
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STRUCT_DELIMITER = ("(", ")")
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RENAME_TABLE_WITH_DB = False
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NVL2_SUPPORTED = False
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SEMI_ANTI_JOIN_WITH_SIDE = False
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TRANSFORMS = {
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**generator.Generator.TRANSFORMS,
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exp.ApproxDistinct: approx_count_distinct_sql,
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exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
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if e.expressions and e.expressions[0].find(exp.Select)
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else inline_array_sql(self, e),
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exp.ArraySize: rename_func("ARRAY_LENGTH"),
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exp.ArgMax: arg_max_or_min_no_count("ARG_MAX"),
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exp.ArgMin: arg_max_or_min_no_count("ARG_MIN"),
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exp.ArraySort: _array_sort_sql,
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exp.ArraySum: rename_func("LIST_SUM"),
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exp.BitwiseXor: rename_func("XOR"),
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exp.CommentColumnConstraint: no_comment_column_constraint_sql,
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exp.CurrentDate: lambda self, e: "CURRENT_DATE",
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exp.CurrentTime: lambda self, e: "CURRENT_TIME",
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exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP",
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exp.DayOfMonth: rename_func("DAYOFMONTH"),
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exp.DayOfWeek: rename_func("DAYOFWEEK"),
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exp.DayOfYear: rename_func("DAYOFYEAR"),
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exp.DataType: _datatype_sql,
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exp.Date: _date_sql,
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exp.DateAdd: _date_delta_sql,
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exp.DateFromParts: rename_func("MAKE_DATE"),
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exp.DateSub: _date_delta_sql,
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exp.DateDiff: lambda self, e: self.func(
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"DATE_DIFF", f"'{e.args.get('unit') or 'day'}'", e.expression, e.this
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),
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exp.DateStrToDate: datestrtodate_sql,
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exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
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exp.Decode: lambda self, e: encode_decode_sql(self, e, "DECODE", replace=False),
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exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
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exp.Encode: lambda self, e: encode_decode_sql(self, e, "ENCODE", replace=False),
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exp.Explode: rename_func("UNNEST"),
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exp.IntDiv: lambda self, e: self.binary(e, "//"),
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exp.IsNan: rename_func("ISNAN"),
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exp.JSONExtract: arrow_json_extract_sql,
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exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
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exp.JSONFormat: _json_format_sql,
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exp.JSONBExtract: arrow_json_extract_sql,
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exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
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exp.LogicalOr: rename_func("BOOL_OR"),
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exp.LogicalAnd: rename_func("BOOL_AND"),
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exp.MonthsBetween: lambda self, e: self.func(
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"DATEDIFF",
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"'month'",
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exp.cast(e.expression, "timestamp", copy=True),
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exp.cast(e.this, "timestamp", copy=True),
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),
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exp.ParseJSON: rename_func("JSON"),
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exp.PercentileCont: rename_func("QUANTILE_CONT"),
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exp.PercentileDisc: rename_func("QUANTILE_DISC"),
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exp.Properties: no_properties_sql,
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exp.RegexpExtract: regexp_extract_sql,
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exp.RegexpReplace: lambda self, e: self.func(
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"REGEXP_REPLACE",
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e.this,
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e.expression,
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e.args.get("replacement"),
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e.args.get("modifiers"),
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),
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exp.RegexpLike: rename_func("REGEXP_MATCHES"),
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exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
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exp.SafeDivide: no_safe_divide_sql,
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exp.Split: rename_func("STR_SPLIT"),
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exp.SortArray: _sort_array_sql,
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exp.StrPosition: str_position_sql,
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exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
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exp.StrToTime: str_to_time_sql,
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exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
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exp.Struct: _struct_sql,
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exp.Timestamp: no_timestamp_sql,
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exp.TimestampTrunc: timestamptrunc_sql,
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exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
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exp.TimeStrToTime: timestrtotime_sql,
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exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
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exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
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exp.TimeToUnix: rename_func("EPOCH"),
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exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
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exp.TsOrDsAdd: _ts_or_ds_add_sql,
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exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
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exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
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exp.UnixToTime: rename_func("TO_TIMESTAMP"),
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exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
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exp.VariancePop: rename_func("VAR_POP"),
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exp.WeekOfYear: rename_func("WEEKOFYEAR"),
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exp.Xor: bool_xor_sql,
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}
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TYPE_MAPPING = {
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**generator.Generator.TYPE_MAPPING,
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exp.DataType.Type.BINARY: "BLOB",
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exp.DataType.Type.CHAR: "TEXT",
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exp.DataType.Type.FLOAT: "REAL",
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exp.DataType.Type.NCHAR: "TEXT",
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exp.DataType.Type.NVARCHAR: "TEXT",
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exp.DataType.Type.UINT: "UINTEGER",
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exp.DataType.Type.VARBINARY: "BLOB",
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exp.DataType.Type.VARCHAR: "TEXT",
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exp.DataType.Type.TIMESTAMP_S: "TIMESTAMP_S",
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exp.DataType.Type.TIMESTAMP_MS: "TIMESTAMP_MS",
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exp.DataType.Type.TIMESTAMP_NS: "TIMESTAMP_NS",
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}
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STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"}
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UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren)
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PROPERTIES_LOCATION = {
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**generator.Generator.PROPERTIES_LOCATION,
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exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
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}
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def interval_sql(self, expression: exp.Interval) -> str:
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multiplier: t.Optional[int] = None
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unit = expression.text("unit").lower()
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if unit.startswith("week"):
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multiplier = 7
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if unit.startswith("quarter"):
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multiplier = 90
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if multiplier:
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return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this.copy(), unit=exp.var('day')))})"
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return super().interval_sql(expression)
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def tablesample_sql(
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self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
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) -> str:
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return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
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