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|
from __future__ import annotations
import logging
import typing as t
from collections import defaultdict
from sqlglot import exp
from sqlglot.errors import ErrorLevel, ParseError, concat_messages, merge_errors
from sqlglot.helper import apply_index_offset, ensure_list, seq_get
from sqlglot.time import format_time
from sqlglot.tokens import Token, Tokenizer, TokenType
from sqlglot.trie import TrieResult, in_trie, new_trie
if t.TYPE_CHECKING:
from sqlglot._typing import E
logger = logging.getLogger("sqlglot")
def parse_var_map(args: t.List) -> exp.StarMap | exp.VarMap:
if len(args) == 1 and args[0].is_star:
return exp.StarMap(this=args[0])
keys = []
values = []
for i in range(0, len(args), 2):
keys.append(args[i])
values.append(args[i + 1])
return exp.VarMap(
keys=exp.Array(expressions=keys),
values=exp.Array(expressions=values),
)
def parse_like(args: t.List) -> exp.Escape | exp.Like:
like = exp.Like(this=seq_get(args, 1), expression=seq_get(args, 0))
return exp.Escape(this=like, expression=seq_get(args, 2)) if len(args) > 2 else like
def binary_range_parser(
expr_type: t.Type[exp.Expression],
) -> t.Callable[[Parser, t.Optional[exp.Expression]], t.Optional[exp.Expression]]:
return lambda self, this: self._parse_escape(
self.expression(expr_type, this=this, expression=self._parse_bitwise())
)
class _Parser(type):
def __new__(cls, clsname, bases, attrs):
klass = super().__new__(cls, clsname, bases, attrs)
klass.SHOW_TRIE = new_trie(key.split(" ") for key in klass.SHOW_PARSERS)
klass.SET_TRIE = new_trie(key.split(" ") for key in klass.SET_PARSERS)
return klass
class Parser(metaclass=_Parser):
"""
Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.
Args:
error_level: The desired error level.
Default: ErrorLevel.IMMEDIATE
error_message_context: Determines the amount of context to capture from a
query string when displaying the error message (in number of characters).
Default: 100
max_errors: Maximum number of error messages to include in a raised ParseError.
This is only relevant if error_level is ErrorLevel.RAISE.
Default: 3
"""
FUNCTIONS: t.Dict[str, t.Callable] = {
**{name: f.from_arg_list for f in exp.ALL_FUNCTIONS for name in f.sql_names()},
"DATE_TO_DATE_STR": lambda args: exp.Cast(
this=seq_get(args, 0),
to=exp.DataType(this=exp.DataType.Type.TEXT),
),
"GLOB": lambda args: exp.Glob(this=seq_get(args, 1), expression=seq_get(args, 0)),
"LIKE": parse_like,
"TIME_TO_TIME_STR": lambda args: exp.Cast(
this=seq_get(args, 0),
to=exp.DataType(this=exp.DataType.Type.TEXT),
),
"TS_OR_DS_TO_DATE_STR": lambda args: exp.Substring(
this=exp.Cast(
this=seq_get(args, 0),
to=exp.DataType(this=exp.DataType.Type.TEXT),
),
start=exp.Literal.number(1),
length=exp.Literal.number(10),
),
"VAR_MAP": parse_var_map,
}
NO_PAREN_FUNCTIONS = {
TokenType.CURRENT_DATE: exp.CurrentDate,
TokenType.CURRENT_DATETIME: exp.CurrentDate,
TokenType.CURRENT_TIME: exp.CurrentTime,
TokenType.CURRENT_TIMESTAMP: exp.CurrentTimestamp,
TokenType.CURRENT_USER: exp.CurrentUser,
}
NESTED_TYPE_TOKENS = {
TokenType.ARRAY,
TokenType.MAP,
TokenType.NULLABLE,
TokenType.STRUCT,
}
ENUM_TYPE_TOKENS = {
TokenType.ENUM,
}
TYPE_TOKENS = {
TokenType.BIT,
TokenType.BOOLEAN,
TokenType.TINYINT,
TokenType.UTINYINT,
TokenType.SMALLINT,
TokenType.USMALLINT,
TokenType.INT,
TokenType.UINT,
TokenType.BIGINT,
TokenType.UBIGINT,
TokenType.INT128,
TokenType.UINT128,
TokenType.INT256,
TokenType.UINT256,
TokenType.FLOAT,
TokenType.DOUBLE,
TokenType.CHAR,
TokenType.NCHAR,
TokenType.VARCHAR,
TokenType.NVARCHAR,
TokenType.TEXT,
TokenType.MEDIUMTEXT,
TokenType.LONGTEXT,
TokenType.MEDIUMBLOB,
TokenType.LONGBLOB,
TokenType.BINARY,
TokenType.VARBINARY,
TokenType.JSON,
TokenType.JSONB,
TokenType.INTERVAL,
TokenType.TIME,
TokenType.TIMESTAMP,
TokenType.TIMESTAMPTZ,
TokenType.TIMESTAMPLTZ,
TokenType.DATETIME,
TokenType.DATETIME64,
TokenType.DATE,
TokenType.INT4RANGE,
TokenType.INT4MULTIRANGE,
TokenType.INT8RANGE,
TokenType.INT8MULTIRANGE,
TokenType.NUMRANGE,
TokenType.NUMMULTIRANGE,
TokenType.TSRANGE,
TokenType.TSMULTIRANGE,
TokenType.TSTZRANGE,
TokenType.TSTZMULTIRANGE,
TokenType.DATERANGE,
TokenType.DATEMULTIRANGE,
TokenType.DECIMAL,
TokenType.BIGDECIMAL,
TokenType.UUID,
TokenType.GEOGRAPHY,
TokenType.GEOMETRY,
TokenType.HLLSKETCH,
TokenType.HSTORE,
TokenType.PSEUDO_TYPE,
TokenType.SUPER,
TokenType.SERIAL,
TokenType.SMALLSERIAL,
TokenType.BIGSERIAL,
TokenType.XML,
TokenType.UNIQUEIDENTIFIER,
TokenType.USERDEFINED,
TokenType.MONEY,
TokenType.SMALLMONEY,
TokenType.ROWVERSION,
TokenType.IMAGE,
TokenType.VARIANT,
TokenType.OBJECT,
TokenType.INET,
TokenType.ENUM,
*NESTED_TYPE_TOKENS,
}
SUBQUERY_PREDICATES = {
TokenType.ANY: exp.Any,
TokenType.ALL: exp.All,
TokenType.EXISTS: exp.Exists,
TokenType.SOME: exp.Any,
}
RESERVED_KEYWORDS = {
*Tokenizer.SINGLE_TOKENS.values(),
TokenType.SELECT,
}
DB_CREATABLES = {
TokenType.DATABASE,
TokenType.SCHEMA,
TokenType.TABLE,
TokenType.VIEW,
TokenType.DICTIONARY,
}
CREATABLES = {
TokenType.COLUMN,
TokenType.FUNCTION,
TokenType.INDEX,
TokenType.PROCEDURE,
*DB_CREATABLES,
}
# Tokens that can represent identifiers
ID_VAR_TOKENS = {
TokenType.VAR,
TokenType.ANTI,
TokenType.APPLY,
TokenType.ASC,
TokenType.AUTO_INCREMENT,
TokenType.BEGIN,
TokenType.CACHE,
TokenType.CASE,
TokenType.COLLATE,
TokenType.COMMAND,
TokenType.COMMENT,
TokenType.COMMIT,
TokenType.CONSTRAINT,
TokenType.DEFAULT,
TokenType.DELETE,
TokenType.DESC,
TokenType.DESCRIBE,
TokenType.DICTIONARY,
TokenType.DIV,
TokenType.END,
TokenType.EXECUTE,
TokenType.ESCAPE,
TokenType.FALSE,
TokenType.FIRST,
TokenType.FILTER,
TokenType.FORMAT,
TokenType.FULL,
TokenType.IF,
TokenType.IS,
TokenType.ISNULL,
TokenType.INTERVAL,
TokenType.KEEP,
TokenType.LEFT,
TokenType.LOAD,
TokenType.MERGE,
TokenType.NATURAL,
TokenType.NEXT,
TokenType.OFFSET,
TokenType.ORDINALITY,
TokenType.OVERWRITE,
TokenType.PARTITION,
TokenType.PERCENT,
TokenType.PIVOT,
TokenType.PRAGMA,
TokenType.RANGE,
TokenType.REFERENCES,
TokenType.RIGHT,
TokenType.ROW,
TokenType.ROWS,
TokenType.SEMI,
TokenType.SET,
TokenType.SETTINGS,
TokenType.SHOW,
TokenType.TEMPORARY,
TokenType.TOP,
TokenType.TRUE,
TokenType.UNIQUE,
TokenType.UNPIVOT,
TokenType.UPDATE,
TokenType.VOLATILE,
TokenType.WINDOW,
*CREATABLES,
*SUBQUERY_PREDICATES,
*TYPE_TOKENS,
*NO_PAREN_FUNCTIONS,
}
INTERVAL_VARS = ID_VAR_TOKENS - {TokenType.END}
TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - {
TokenType.APPLY,
TokenType.ASOF,
TokenType.FULL,
TokenType.LEFT,
TokenType.LOCK,
TokenType.NATURAL,
TokenType.OFFSET,
TokenType.RIGHT,
TokenType.WINDOW,
}
COMMENT_TABLE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.IS}
UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET}
TRIM_TYPES = {"LEADING", "TRAILING", "BOTH"}
FUNC_TOKENS = {
TokenType.COMMAND,
TokenType.CURRENT_DATE,
TokenType.CURRENT_DATETIME,
TokenType.CURRENT_TIMESTAMP,
TokenType.CURRENT_TIME,
TokenType.CURRENT_USER,
TokenType.FILTER,
TokenType.FIRST,
TokenType.FORMAT,
TokenType.GLOB,
TokenType.IDENTIFIER,
TokenType.INDEX,
TokenType.ISNULL,
TokenType.ILIKE,
TokenType.LIKE,
TokenType.MERGE,
TokenType.OFFSET,
TokenType.PRIMARY_KEY,
TokenType.RANGE,
TokenType.REPLACE,
TokenType.RLIKE,
TokenType.ROW,
TokenType.UNNEST,
TokenType.VAR,
TokenType.LEFT,
TokenType.RIGHT,
TokenType.DATE,
TokenType.DATETIME,
TokenType.TABLE,
TokenType.TIMESTAMP,
TokenType.TIMESTAMPTZ,
TokenType.WINDOW,
TokenType.XOR,
*TYPE_TOKENS,
*SUBQUERY_PREDICATES,
}
CONJUNCTION = {
TokenType.AND: exp.And,
TokenType.OR: exp.Or,
}
EQUALITY = {
TokenType.EQ: exp.EQ,
TokenType.NEQ: exp.NEQ,
TokenType.NULLSAFE_EQ: exp.NullSafeEQ,
}
COMPARISON = {
TokenType.GT: exp.GT,
TokenType.GTE: exp.GTE,
TokenType.LT: exp.LT,
TokenType.LTE: exp.LTE,
}
BITWISE = {
TokenType.AMP: exp.BitwiseAnd,
TokenType.CARET: exp.BitwiseXor,
TokenType.PIPE: exp.BitwiseOr,
TokenType.DPIPE: exp.DPipe,
}
TERM = {
TokenType.DASH: exp.Sub,
TokenType.PLUS: exp.Add,
TokenType.MOD: exp.Mod,
TokenType.COLLATE: exp.Collate,
}
FACTOR = {
TokenType.DIV: exp.IntDiv,
TokenType.LR_ARROW: exp.Distance,
TokenType.SLASH: exp.Div,
TokenType.STAR: exp.Mul,
}
TIMESTAMPS = {
TokenType.TIME,
TokenType.TIMESTAMP,
TokenType.TIMESTAMPTZ,
TokenType.TIMESTAMPLTZ,
}
SET_OPERATIONS = {
TokenType.UNION,
TokenType.INTERSECT,
TokenType.EXCEPT,
}
JOIN_METHODS = {
TokenType.NATURAL,
TokenType.ASOF,
}
JOIN_SIDES = {
TokenType.LEFT,
TokenType.RIGHT,
TokenType.FULL,
}
JOIN_KINDS = {
TokenType.INNER,
TokenType.OUTER,
TokenType.CROSS,
TokenType.SEMI,
TokenType.ANTI,
}
JOIN_HINTS: t.Set[str] = set()
LAMBDAS = {
TokenType.ARROW: lambda self, expressions: self.expression(
exp.Lambda,
this=self._replace_lambda(
self._parse_conjunction(),
{node.name for node in expressions},
),
expressions=expressions,
),
TokenType.FARROW: lambda self, expressions: self.expression(
exp.Kwarg,
this=exp.var(expressions[0].name),
expression=self._parse_conjunction(),
),
}
COLUMN_OPERATORS = {
TokenType.DOT: None,
TokenType.DCOLON: lambda self, this, to: self.expression(
exp.Cast if self.STRICT_CAST else exp.TryCast,
this=this,
to=to,
),
TokenType.ARROW: lambda self, this, path: self.expression(
exp.JSONExtract,
this=this,
expression=path,
),
TokenType.DARROW: lambda self, this, path: self.expression(
exp.JSONExtractScalar,
this=this,
expression=path,
),
TokenType.HASH_ARROW: lambda self, this, path: self.expression(
exp.JSONBExtract,
this=this,
expression=path,
),
TokenType.DHASH_ARROW: lambda self, this, path: self.expression(
exp.JSONBExtractScalar,
this=this,
expression=path,
),
TokenType.PLACEHOLDER: lambda self, this, key: self.expression(
exp.JSONBContains,
this=this,
expression=key,
),
}
EXPRESSION_PARSERS = {
exp.Cluster: lambda self: self._parse_sort(exp.Cluster, TokenType.CLUSTER_BY),
exp.Column: lambda self: self._parse_column(),
exp.Condition: lambda self: self._parse_conjunction(),
exp.DataType: lambda self: self._parse_types(),
exp.Expression: lambda self: self._parse_statement(),
exp.From: lambda self: self._parse_from(),
exp.Group: lambda self: self._parse_group(),
exp.Having: lambda self: self._parse_having(),
exp.Identifier: lambda self: self._parse_id_var(),
exp.Join: lambda self: self._parse_join(),
exp.Lambda: lambda self: self._parse_lambda(),
exp.Lateral: lambda self: self._parse_lateral(),
exp.Limit: lambda self: self._parse_limit(),
exp.Offset: lambda self: self._parse_offset(),
exp.Order: lambda self: self._parse_order(),
exp.Ordered: lambda self: self._parse_ordered(),
exp.Properties: lambda self: self._parse_properties(),
exp.Qualify: lambda self: self._parse_qualify(),
exp.Returning: lambda self: self._parse_returning(),
exp.Sort: lambda self: self._parse_sort(exp.Sort, TokenType.SORT_BY),
exp.Table: lambda self: self._parse_table_parts(),
exp.TableAlias: lambda self: self._parse_table_alias(),
exp.Where: lambda self: self._parse_where(),
exp.Window: lambda self: self._parse_named_window(),
exp.With: lambda self: self._parse_with(),
"JOIN_TYPE": lambda self: self._parse_join_parts(),
}
STATEMENT_PARSERS = {
TokenType.ALTER: lambda self: self._parse_alter(),
TokenType.BEGIN: lambda self: self._parse_transaction(),
TokenType.CACHE: lambda self: self._parse_cache(),
TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
TokenType.COMMENT: lambda self: self._parse_comment(),
TokenType.CREATE: lambda self: self._parse_create(),
TokenType.DELETE: lambda self: self._parse_delete(),
TokenType.DESC: lambda self: self._parse_describe(),
TokenType.DESCRIBE: lambda self: self._parse_describe(),
TokenType.DROP: lambda self: self._parse_drop(),
TokenType.FROM: lambda self: exp.select("*").from_(
t.cast(exp.From, self._parse_from(skip_from_token=True))
),
TokenType.INSERT: lambda self: self._parse_insert(),
TokenType.LOAD: lambda self: self._parse_load(),
TokenType.MERGE: lambda self: self._parse_merge(),
TokenType.PIVOT: lambda self: self._parse_simplified_pivot(),
TokenType.PRAGMA: lambda self: self.expression(exp.Pragma, this=self._parse_expression()),
TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(),
TokenType.SET: lambda self: self._parse_set(),
TokenType.UNCACHE: lambda self: self._parse_uncache(),
TokenType.UPDATE: lambda self: self._parse_update(),
TokenType.USE: lambda self: self.expression(
exp.Use,
kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA"))
and exp.var(self._prev.text),
this=self._parse_table(schema=False),
),
}
UNARY_PARSERS = {
TokenType.PLUS: lambda self: self._parse_unary(), # Unary + is handled as a no-op
TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()),
TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()),
TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()),
}
PRIMARY_PARSERS = {
TokenType.STRING: lambda self, token: self.expression(
exp.Literal, this=token.text, is_string=True
),
TokenType.NUMBER: lambda self, token: self.expression(
exp.Literal, this=token.text, is_string=False
),
TokenType.STAR: lambda self, _: self.expression(
exp.Star, **{"except": self._parse_except(), "replace": self._parse_replace()}
),
TokenType.NULL: lambda self, _: self.expression(exp.Null),
TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True),
TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False),
TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text),
TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text),
TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text),
TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token),
TokenType.NATIONAL_STRING: lambda self, token: self.expression(
exp.National, this=token.text
),
TokenType.RAW_STRING: lambda self, token: self.expression(exp.RawString, this=token.text),
TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(),
}
PLACEHOLDER_PARSERS = {
TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder),
TokenType.PARAMETER: lambda self: self._parse_parameter(),
TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text)
if self._match_set((TokenType.NUMBER, TokenType.VAR))
else None,
}
RANGE_PARSERS = {
TokenType.BETWEEN: lambda self, this: self._parse_between(this),
TokenType.GLOB: binary_range_parser(exp.Glob),
TokenType.ILIKE: binary_range_parser(exp.ILike),
TokenType.IN: lambda self, this: self._parse_in(this),
TokenType.IRLIKE: binary_range_parser(exp.RegexpILike),
TokenType.IS: lambda self, this: self._parse_is(this),
TokenType.LIKE: binary_range_parser(exp.Like),
TokenType.OVERLAPS: binary_range_parser(exp.Overlaps),
TokenType.RLIKE: binary_range_parser(exp.RegexpLike),
TokenType.SIMILAR_TO: binary_range_parser(exp.SimilarTo),
}
PROPERTY_PARSERS: t.Dict[str, t.Callable] = {
"ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty),
"AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty),
"BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(),
"CHARACTER SET": lambda self: self._parse_character_set(),
"CHECKSUM": lambda self: self._parse_checksum(),
"CLUSTER BY": lambda self: self._parse_cluster(),
"CLUSTERED": lambda self: self._parse_clustered_by(),
"COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty),
"COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty),
"COPY": lambda self: self._parse_copy_property(),
"DATABLOCKSIZE": lambda self, **kwargs: self._parse_datablocksize(**kwargs),
"DEFINER": lambda self: self._parse_definer(),
"DETERMINISTIC": lambda self: self.expression(
exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
),
"DISTKEY": lambda self: self._parse_distkey(),
"DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty),
"ENGINE": lambda self: self._parse_property_assignment(exp.EngineProperty),
"EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty),
"EXTERNAL": lambda self: self.expression(exp.ExternalProperty),
"FALLBACK": lambda self, **kwargs: self._parse_fallback(**kwargs),
"FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
"FREESPACE": lambda self: self._parse_freespace(),
"IMMUTABLE": lambda self: self.expression(
exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
),
"JOURNAL": lambda self, **kwargs: self._parse_journal(**kwargs),
"LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty),
"LAYOUT": lambda self: self._parse_dict_property(this="LAYOUT"),
"LIFETIME": lambda self: self._parse_dict_range(this="LIFETIME"),
"LIKE": lambda self: self._parse_create_like(),
"LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty),
"LOCK": lambda self: self._parse_locking(),
"LOCKING": lambda self: self._parse_locking(),
"LOG": lambda self, **kwargs: self._parse_log(**kwargs),
"MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty),
"MERGEBLOCKRATIO": lambda self, **kwargs: self._parse_mergeblockratio(**kwargs),
"MULTISET": lambda self: self.expression(exp.SetProperty, multi=True),
"NO": lambda self: self._parse_no_property(),
"ON": lambda self: self._parse_on_property(),
"ORDER BY": lambda self: self._parse_order(skip_order_token=True),
"PARTITION BY": lambda self: self._parse_partitioned_by(),
"PARTITIONED BY": lambda self: self._parse_partitioned_by(),
"PARTITIONED_BY": lambda self: self._parse_partitioned_by(),
"PRIMARY KEY": lambda self: self._parse_primary_key(in_props=True),
"RANGE": lambda self: self._parse_dict_range(this="RANGE"),
"RETURNS": lambda self: self._parse_returns(),
"ROW": lambda self: self._parse_row(),
"ROW_FORMAT": lambda self: self._parse_property_assignment(exp.RowFormatProperty),
"SET": lambda self: self.expression(exp.SetProperty, multi=False),
"SETTINGS": lambda self: self.expression(
exp.SettingsProperty, expressions=self._parse_csv(self._parse_set_item)
),
"SORTKEY": lambda self: self._parse_sortkey(),
"SOURCE": lambda self: self._parse_dict_property(this="SOURCE"),
"STABLE": lambda self: self.expression(
exp.StabilityProperty, this=exp.Literal.string("STABLE")
),
"STORED": lambda self: self._parse_stored(),
"TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property),
"TEMP": lambda self: self.expression(exp.TemporaryProperty),
"TEMPORARY": lambda self: self.expression(exp.TemporaryProperty),
"TO": lambda self: self._parse_to_table(),
"TRANSIENT": lambda self: self.expression(exp.TransientProperty),
"TTL": lambda self: self._parse_ttl(),
"USING": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
"VOLATILE": lambda self: self._parse_volatile_property(),
"WITH": lambda self: self._parse_with_property(),
}
CONSTRAINT_PARSERS = {
"AUTOINCREMENT": lambda self: self._parse_auto_increment(),
"AUTO_INCREMENT": lambda self: self._parse_auto_increment(),
"CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False),
"CHARACTER SET": lambda self: self.expression(
exp.CharacterSetColumnConstraint, this=self._parse_var_or_string()
),
"CHECK": lambda self: self.expression(
exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction)
),
"COLLATE": lambda self: self.expression(
exp.CollateColumnConstraint, this=self._parse_var()
),
"COMMENT": lambda self: self.expression(
exp.CommentColumnConstraint, this=self._parse_string()
),
"COMPRESS": lambda self: self._parse_compress(),
"DEFAULT": lambda self: self.expression(
exp.DefaultColumnConstraint, this=self._parse_bitwise()
),
"ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()),
"FOREIGN KEY": lambda self: self._parse_foreign_key(),
"FORMAT": lambda self: self.expression(
exp.DateFormatColumnConstraint, this=self._parse_var_or_string()
),
"GENERATED": lambda self: self._parse_generated_as_identity(),
"IDENTITY": lambda self: self._parse_auto_increment(),
"INLINE": lambda self: self._parse_inline(),
"LIKE": lambda self: self._parse_create_like(),
"NOT": lambda self: self._parse_not_constraint(),
"NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True),
"ON": lambda self: self._match(TokenType.UPDATE)
and self.expression(exp.OnUpdateColumnConstraint, this=self._parse_function()),
"PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()),
"PRIMARY KEY": lambda self: self._parse_primary_key(),
"REFERENCES": lambda self: self._parse_references(match=False),
"TITLE": lambda self: self.expression(
exp.TitleColumnConstraint, this=self._parse_var_or_string()
),
"TTL": lambda self: self.expression(exp.MergeTreeTTL, expressions=[self._parse_bitwise()]),
"UNIQUE": lambda self: self._parse_unique(),
"UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
}
ALTER_PARSERS = {
"ADD": lambda self: self._parse_alter_table_add(),
"ALTER": lambda self: self._parse_alter_table_alter(),
"DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
"DROP": lambda self: self._parse_alter_table_drop(),
"RENAME": lambda self: self._parse_alter_table_rename(),
}
SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
NO_PAREN_FUNCTION_PARSERS = {
TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()),
TokenType.CASE: lambda self: self._parse_case(),
TokenType.IF: lambda self: self._parse_if(),
TokenType.NEXT_VALUE_FOR: lambda self: self.expression(
exp.NextValueFor,
this=self._parse_column(),
order=self._match(TokenType.OVER) and self._parse_wrapped(self._parse_order),
),
}
FUNCTIONS_WITH_ALIASED_ARGS = {"STRUCT"}
FUNCTION_PARSERS = {
"ANY_VALUE": lambda self: self._parse_any_value(),
"CAST": lambda self: self._parse_cast(self.STRICT_CAST),
"CONCAT": lambda self: self._parse_concat(),
"CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
"DECODE": lambda self: self._parse_decode(),
"EXTRACT": lambda self: self._parse_extract(),
"JSON_OBJECT": lambda self: self._parse_json_object(),
"LOG": lambda self: self._parse_logarithm(),
"MATCH": lambda self: self._parse_match_against(),
"OPENJSON": lambda self: self._parse_open_json(),
"POSITION": lambda self: self._parse_position(),
"SAFE_CAST": lambda self: self._parse_cast(False),
"STRING_AGG": lambda self: self._parse_string_agg(),
"SUBSTRING": lambda self: self._parse_substring(),
"TRIM": lambda self: self._parse_trim(),
"TRY_CAST": lambda self: self._parse_cast(False),
"TRY_CONVERT": lambda self: self._parse_convert(False),
}
QUERY_MODIFIER_PARSERS = {
TokenType.MATCH_RECOGNIZE: lambda self: ("match", self._parse_match_recognize()),
TokenType.WHERE: lambda self: ("where", self._parse_where()),
TokenType.GROUP_BY: lambda self: ("group", self._parse_group()),
TokenType.HAVING: lambda self: ("having", self._parse_having()),
TokenType.QUALIFY: lambda self: ("qualify", self._parse_qualify()),
TokenType.WINDOW: lambda self: ("windows", self._parse_window_clause()),
TokenType.ORDER_BY: lambda self: ("order", self._parse_order()),
TokenType.LIMIT: lambda self: ("limit", self._parse_limit()),
TokenType.FETCH: lambda self: ("limit", self._parse_limit()),
TokenType.OFFSET: lambda self: ("offset", self._parse_offset()),
TokenType.FOR: lambda self: ("locks", self._parse_locks()),
TokenType.LOCK: lambda self: ("locks", self._parse_locks()),
TokenType.TABLE_SAMPLE: lambda self: ("sample", self._parse_table_sample(as_modifier=True)),
TokenType.USING: lambda self: ("sample", self._parse_table_sample(as_modifier=True)),
TokenType.CLUSTER_BY: lambda self: (
"cluster",
self._parse_sort(exp.Cluster, TokenType.CLUSTER_BY),
),
TokenType.DISTRIBUTE_BY: lambda self: (
"distribute",
self._parse_sort(exp.Distribute, TokenType.DISTRIBUTE_BY),
),
TokenType.SORT_BY: lambda self: ("sort", self._parse_sort(exp.Sort, TokenType.SORT_BY)),
}
SET_PARSERS = {
"GLOBAL": lambda self: self._parse_set_item_assignment("GLOBAL"),
"LOCAL": lambda self: self._parse_set_item_assignment("LOCAL"),
"SESSION": lambda self: self._parse_set_item_assignment("SESSION"),
"TRANSACTION": lambda self: self._parse_set_transaction(),
}
SHOW_PARSERS: t.Dict[str, t.Callable] = {}
TYPE_LITERAL_PARSERS: t.Dict[exp.DataType.Type, t.Callable] = {}
MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
DDL_SELECT_TOKENS = {TokenType.SELECT, TokenType.WITH, TokenType.L_PAREN}
PRE_VOLATILE_TOKENS = {TokenType.CREATE, TokenType.REPLACE, TokenType.UNIQUE}
TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
TRANSACTION_CHARACTERISTICS = {
"ISOLATION LEVEL REPEATABLE READ",
"ISOLATION LEVEL READ COMMITTED",
"ISOLATION LEVEL READ UNCOMMITTED",
"ISOLATION LEVEL SERIALIZABLE",
"READ WRITE",
"READ ONLY",
}
INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
CLONE_KINDS = {"TIMESTAMP", "OFFSET", "STATEMENT"}
TABLE_INDEX_HINT_TOKENS = {TokenType.FORCE, TokenType.IGNORE, TokenType.USE}
WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS}
WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER}
WINDOW_SIDES = {"FOLLOWING", "PRECEDING"}
ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY}
STRICT_CAST = True
# A NULL arg in CONCAT yields NULL by default
CONCAT_NULL_OUTPUTS_STRING = False
PREFIXED_PIVOT_COLUMNS = False
IDENTIFY_PIVOT_STRINGS = False
LOG_BASE_FIRST = True
LOG_DEFAULTS_TO_LN = False
__slots__ = (
"error_level",
"error_message_context",
"max_errors",
"sql",
"errors",
"_tokens",
"_index",
"_curr",
"_next",
"_prev",
"_prev_comments",
)
# Autofilled
INDEX_OFFSET: int = 0
UNNEST_COLUMN_ONLY: bool = False
ALIAS_POST_TABLESAMPLE: bool = False
STRICT_STRING_CONCAT = False
NULL_ORDERING: str = "nulls_are_small"
SHOW_TRIE: t.Dict = {}
SET_TRIE: t.Dict = {}
FORMAT_MAPPING: t.Dict[str, str] = {}
FORMAT_TRIE: t.Dict = {}
TIME_MAPPING: t.Dict[str, str] = {}
TIME_TRIE: t.Dict = {}
def __init__(
self,
error_level: t.Optional[ErrorLevel] = None,
error_message_context: int = 100,
max_errors: int = 3,
):
self.error_level = error_level or ErrorLevel.IMMEDIATE
self.error_message_context = error_message_context
self.max_errors = max_errors
self.reset()
def reset(self):
self.sql = ""
self.errors = []
self._tokens = []
self._index = 0
self._curr = None
self._next = None
self._prev = None
self._prev_comments = None
def parse(
self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
) -> t.List[t.Optional[exp.Expression]]:
"""
Parses a list of tokens and returns a list of syntax trees, one tree
per parsed SQL statement.
Args:
raw_tokens: The list of tokens.
sql: The original SQL string, used to produce helpful debug messages.
Returns:
The list of the produced syntax trees.
"""
return self._parse(
parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
)
def parse_into(
self,
expression_types: exp.IntoType,
raw_tokens: t.List[Token],
sql: t.Optional[str] = None,
) -> t.List[t.Optional[exp.Expression]]:
"""
Parses a list of tokens into a given Expression type. If a collection of Expression
types is given instead, this method will try to parse the token list into each one
of them, stopping at the first for which the parsing succeeds.
Args:
expression_types: The expression type(s) to try and parse the token list into.
raw_tokens: The list of tokens.
sql: The original SQL string, used to produce helpful debug messages.
Returns:
The target Expression.
"""
errors = []
for expression_type in ensure_list(expression_types):
parser = self.EXPRESSION_PARSERS.get(expression_type)
if not parser:
raise TypeError(f"No parser registered for {expression_type}")
try:
return self._parse(parser, raw_tokens, sql)
except ParseError as e:
e.errors[0]["into_expression"] = expression_type
errors.append(e)
raise ParseError(
f"Failed to parse '{sql or raw_tokens}' into {expression_types}",
errors=merge_errors(errors),
) from errors[-1]
def _parse(
self,
parse_method: t.Callable[[Parser], t.Optional[exp.Expression]],
raw_tokens: t.List[Token],
sql: t.Optional[str] = None,
) -> t.List[t.Optional[exp.Expression]]:
self.reset()
self.sql = sql or ""
total = len(raw_tokens)
chunks: t.List[t.List[Token]] = [[]]
for i, token in enumerate(raw_tokens):
if token.token_type == TokenType.SEMICOLON:
if i < total - 1:
chunks.append([])
else:
chunks[-1].append(token)
expressions = []
for tokens in chunks:
self._index = -1
self._tokens = tokens
self._advance()
expressions.append(parse_method(self))
if self._index < len(self._tokens):
self.raise_error("Invalid expression / Unexpected token")
self.check_errors()
return expressions
def check_errors(self) -> None:
"""Logs or raises any found errors, depending on the chosen error level setting."""
if self.error_level == ErrorLevel.WARN:
for error in self.errors:
logger.error(str(error))
elif self.error_level == ErrorLevel.RAISE and self.errors:
raise ParseError(
concat_messages(self.errors, self.max_errors),
errors=merge_errors(self.errors),
)
def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
"""
Appends an error in the list of recorded errors or raises it, depending on the chosen
error level setting.
"""
token = token or self._curr or self._prev or Token.string("")
start = token.start
end = token.end + 1
start_context = self.sql[max(start - self.error_message_context, 0) : start]
highlight = self.sql[start:end]
end_context = self.sql[end : end + self.error_message_context]
error = ParseError.new(
f"{message}. Line {token.line}, Col: {token.col}.\n"
f" {start_context}\033[4m{highlight}\033[0m{end_context}",
description=message,
line=token.line,
col=token.col,
start_context=start_context,
highlight=highlight,
end_context=end_context,
)
if self.error_level == ErrorLevel.IMMEDIATE:
raise error
self.errors.append(error)
def expression(
self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
) -> E:
"""
Creates a new, validated Expression.
Args:
exp_class: The expression class to instantiate.
comments: An optional list of comments to attach to the expression.
kwargs: The arguments to set for the expression along with their respective values.
Returns:
The target expression.
"""
instance = exp_class(**kwargs)
instance.add_comments(comments) if comments else self._add_comments(instance)
return self.validate_expression(instance)
def _add_comments(self, expression: t.Optional[exp.Expression]) -> None:
if expression and self._prev_comments:
expression.add_comments(self._prev_comments)
self._prev_comments = None
def validate_expression(self, expression: E, args: t.Optional[t.List] = None) -> E:
"""
Validates an Expression, making sure that all its mandatory arguments are set.
Args:
expression: The expression to validate.
args: An optional list of items that was used to instantiate the expression, if it's a Func.
Returns:
The validated expression.
"""
if self.error_level != ErrorLevel.IGNORE:
for error_message in expression.error_messages(args):
self.raise_error(error_message)
return expression
def _find_sql(self, start: Token, end: Token) -> str:
return self.sql[start.start : end.end + 1]
def _advance(self, times: int = 1) -> None:
self._index += times
self._curr = seq_get(self._tokens, self._index)
self._next = seq_get(self._tokens, self._index + 1)
if self._index > 0:
self._prev = self._tokens[self._index - 1]
self._prev_comments = self._prev.comments
else:
self._prev = None
self._prev_comments = None
def _retreat(self, index: int) -> None:
if index != self._index:
self._advance(index - self._index)
def _parse_command(self) -> exp.Command:
return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
start = self._prev
exists = self._parse_exists() if allow_exists else None
self._match(TokenType.ON)
kind = self._match_set(self.CREATABLES) and self._prev
if not kind:
return self._parse_as_command(start)
if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
this = self._parse_user_defined_function(kind=kind.token_type)
elif kind.token_type == TokenType.TABLE:
this = self._parse_table(alias_tokens=self.COMMENT_TABLE_ALIAS_TOKENS)
elif kind.token_type == TokenType.COLUMN:
this = self._parse_column()
else:
this = self._parse_id_var()
self._match(TokenType.IS)
return self.expression(
exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
)
def _parse_to_table(
self,
) -> exp.ToTableProperty:
table = self._parse_table_parts(schema=True)
return self.expression(exp.ToTableProperty, this=table)
# https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl
def _parse_ttl(self) -> exp.Expression:
def _parse_ttl_action() -> t.Optional[exp.Expression]:
this = self._parse_bitwise()
if self._match_text_seq("DELETE"):
return self.expression(exp.MergeTreeTTLAction, this=this, delete=True)
if self._match_text_seq("RECOMPRESS"):
return self.expression(
exp.MergeTreeTTLAction, this=this, recompress=self._parse_bitwise()
)
if self._match_text_seq("TO", "DISK"):
return self.expression(
exp.MergeTreeTTLAction, this=this, to_disk=self._parse_string()
)
if self._match_text_seq("TO", "VOLUME"):
return self.expression(
exp.MergeTreeTTLAction, this=this, to_volume=self._parse_string()
)
return this
expressions = self._parse_csv(_parse_ttl_action)
where = self._parse_where()
group = self._parse_group()
aggregates = None
if group and self._match(TokenType.SET):
aggregates = self._parse_csv(self._parse_set_item)
return self.expression(
exp.MergeTreeTTL,
expressions=expressions,
where=where,
group=group,
aggregates=aggregates,
)
def _parse_statement(self) -> t.Optional[exp.Expression]:
if self._curr is None:
return None
if self._match_set(self.STATEMENT_PARSERS):
return self.STATEMENT_PARSERS[self._prev.token_type](self)
if self._match_set(Tokenizer.COMMANDS):
return self._parse_command()
expression = self._parse_expression()
expression = self._parse_set_operations(expression) if expression else self._parse_select()
return self._parse_query_modifiers(expression)
def _parse_drop(self) -> exp.Drop | exp.Command:
start = self._prev
temporary = self._match(TokenType.TEMPORARY)
materialized = self._match_text_seq("MATERIALIZED")
kind = self._match_set(self.CREATABLES) and self._prev.text
if not kind:
return self._parse_as_command(start)
return self.expression(
exp.Drop,
comments=start.comments,
exists=self._parse_exists(),
this=self._parse_table(schema=True),
kind=kind,
temporary=temporary,
materialized=materialized,
cascade=self._match_text_seq("CASCADE"),
constraints=self._match_text_seq("CONSTRAINTS"),
purge=self._match_text_seq("PURGE"),
)
def _parse_exists(self, not_: bool = False) -> t.Optional[bool]:
return (
self._match(TokenType.IF)
and (not not_ or self._match(TokenType.NOT))
and self._match(TokenType.EXISTS)
)
def _parse_create(self) -> exp.Create | exp.Command:
# Note: this can't be None because we've matched a statement parser
start = self._prev
replace = start.text.upper() == "REPLACE" or self._match_pair(
TokenType.OR, TokenType.REPLACE
)
unique = self._match(TokenType.UNIQUE)
if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
self._advance()
properties = None
create_token = self._match_set(self.CREATABLES) and self._prev
if not create_token:
# exp.Properties.Location.POST_CREATE
properties = self._parse_properties()
create_token = self._match_set(self.CREATABLES) and self._prev
if not properties or not create_token:
return self._parse_as_command(start)
exists = self._parse_exists(not_=True)
this = None
expression = None
indexes = None
no_schema_binding = None
begin = None
clone = None
def extend_props(temp_props: t.Optional[exp.Properties]) -> None:
nonlocal properties
if properties and temp_props:
properties.expressions.extend(temp_props.expressions)
elif temp_props:
properties = temp_props
if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
this = self._parse_user_defined_function(kind=create_token.token_type)
# exp.Properties.Location.POST_SCHEMA ("schema" here is the UDF's type signature)
extend_props(self._parse_properties())
self._match(TokenType.ALIAS)
begin = self._match(TokenType.BEGIN)
return_ = self._match_text_seq("RETURN")
expression = self._parse_statement()
if return_:
expression = self.expression(exp.Return, this=expression)
elif create_token.token_type == TokenType.INDEX:
this = self._parse_index(index=self._parse_id_var())
elif create_token.token_type in self.DB_CREATABLES:
table_parts = self._parse_table_parts(schema=True)
# exp.Properties.Location.POST_NAME
self._match(TokenType.COMMA)
extend_props(self._parse_properties(before=True))
this = self._parse_schema(this=table_parts)
# exp.Properties.Location.POST_SCHEMA and POST_WITH
extend_props(self._parse_properties())
self._match(TokenType.ALIAS)
if not self._match_set(self.DDL_SELECT_TOKENS, advance=False):
# exp.Properties.Location.POST_ALIAS
extend_props(self._parse_properties())
expression = self._parse_ddl_select()
if create_token.token_type == TokenType.TABLE:
# exp.Properties.Location.POST_EXPRESSION
extend_props(self._parse_properties())
indexes = []
while True:
index = self._parse_index()
# exp.Properties.Location.POST_INDEX
extend_props(self._parse_properties())
if not index:
break
else:
self._match(TokenType.COMMA)
indexes.append(index)
elif create_token.token_type == TokenType.VIEW:
if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"):
no_schema_binding = True
if self._match_text_seq("CLONE"):
clone = self._parse_table(schema=True)
when = self._match_texts({"AT", "BEFORE"}) and self._prev.text.upper()
clone_kind = (
self._match(TokenType.L_PAREN)
and self._match_texts(self.CLONE_KINDS)
and self._prev.text.upper()
)
clone_expression = self._match(TokenType.FARROW) and self._parse_bitwise()
self._match(TokenType.R_PAREN)
clone = self.expression(
exp.Clone, this=clone, when=when, kind=clone_kind, expression=clone_expression
)
return self.expression(
exp.Create,
this=this,
kind=create_token.text,
replace=replace,
unique=unique,
expression=expression,
exists=exists,
properties=properties,
indexes=indexes,
no_schema_binding=no_schema_binding,
begin=begin,
clone=clone,
)
def _parse_property_before(self) -> t.Optional[exp.Expression]:
# only used for teradata currently
self._match(TokenType.COMMA)
kwargs = {
"no": self._match_text_seq("NO"),
"dual": self._match_text_seq("DUAL"),
"before": self._match_text_seq("BEFORE"),
"default": self._match_text_seq("DEFAULT"),
"local": (self._match_text_seq("LOCAL") and "LOCAL")
or (self._match_text_seq("NOT", "LOCAL") and "NOT LOCAL"),
"after": self._match_text_seq("AFTER"),
"minimum": self._match_texts(("MIN", "MINIMUM")),
"maximum": self._match_texts(("MAX", "MAXIMUM")),
}
if self._match_texts(self.PROPERTY_PARSERS):
parser = self.PROPERTY_PARSERS[self._prev.text.upper()]
try:
return parser(self, **{k: v for k, v in kwargs.items() if v})
except TypeError:
self.raise_error(f"Cannot parse property '{self._prev.text}'")
return None
def _parse_property(self) -> t.Optional[exp.Expression]:
if self._match_texts(self.PROPERTY_PARSERS):
return self.PROPERTY_PARSERS[self._prev.text.upper()](self)
if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET):
return self._parse_character_set(default=True)
if self._match_text_seq("COMPOUND", "SORTKEY"):
return self._parse_sortkey(compound=True)
if self._match_text_seq("SQL", "SECURITY"):
return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER"))
assignment = self._match_pair(
TokenType.VAR, TokenType.EQ, advance=False
) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False)
if assignment:
key = self._parse_var_or_string()
self._match(TokenType.EQ)
return self.expression(exp.Property, this=key, value=self._parse_column())
return None
def _parse_stored(self) -> exp.FileFormatProperty:
self._match(TokenType.ALIAS)
input_format = self._parse_string() if self._match_text_seq("INPUTFORMAT") else None
output_format = self._parse_string() if self._match_text_seq("OUTPUTFORMAT") else None
return self.expression(
exp.FileFormatProperty,
this=self.expression(
exp.InputOutputFormat, input_format=input_format, output_format=output_format
)
if input_format or output_format
else self._parse_var_or_string() or self._parse_number() or self._parse_id_var(),
)
def _parse_property_assignment(self, exp_class: t.Type[E]) -> E:
self._match(TokenType.EQ)
self._match(TokenType.ALIAS)
return self.expression(exp_class, this=self._parse_field())
def _parse_properties(self, before: t.Optional[bool] = None) -> t.Optional[exp.Properties]:
properties = []
while True:
if before:
prop = self._parse_property_before()
else:
prop = self._parse_property()
if not prop:
break
for p in ensure_list(prop):
properties.append(p)
if properties:
return self.expression(exp.Properties, expressions=properties)
return None
def _parse_fallback(self, no: bool = False) -> exp.FallbackProperty:
return self.expression(
exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION")
)
def _parse_volatile_property(self) -> exp.VolatileProperty | exp.StabilityProperty:
if self._index >= 2:
pre_volatile_token = self._tokens[self._index - 2]
else:
pre_volatile_token = None
if pre_volatile_token and pre_volatile_token.token_type in self.PRE_VOLATILE_TOKENS:
return exp.VolatileProperty()
return self.expression(exp.StabilityProperty, this=exp.Literal.string("VOLATILE"))
def _parse_with_property(
self,
) -> t.Optional[exp.Expression] | t.List[t.Optional[exp.Expression]]:
if self._match(TokenType.L_PAREN, advance=False):
return self._parse_wrapped_csv(self._parse_property)
if self._match_text_seq("JOURNAL"):
return self._parse_withjournaltable()
if self._match_text_seq("DATA"):
return self._parse_withdata(no=False)
elif self._match_text_seq("NO", "DATA"):
return self._parse_withdata(no=True)
if not self._next:
return None
return self._parse_withisolatedloading()
# https://dev.mysql.com/doc/refman/8.0/en/create-view.html
def _parse_definer(self) -> t.Optional[exp.DefinerProperty]:
self._match(TokenType.EQ)
user = self._parse_id_var()
self._match(TokenType.PARAMETER)
host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text)
if not user or not host:
return None
return exp.DefinerProperty(this=f"{user}@{host}")
def _parse_withjournaltable(self) -> exp.WithJournalTableProperty:
self._match(TokenType.TABLE)
self._match(TokenType.EQ)
return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts())
def _parse_log(self, no: bool = False) -> exp.LogProperty:
return self.expression(exp.LogProperty, no=no)
def _parse_journal(self, **kwargs) -> exp.JournalProperty:
return self.expression(exp.JournalProperty, **kwargs)
def _parse_checksum(self) -> exp.ChecksumProperty:
self._match(TokenType.EQ)
on = None
if self._match(TokenType.ON):
on = True
elif self._match_text_seq("OFF"):
on = False
return self.expression(exp.ChecksumProperty, on=on, default=self._match(TokenType.DEFAULT))
def _parse_cluster(self) -> exp.Cluster:
return self.expression(exp.Cluster, expressions=self._parse_csv(self._parse_ordered))
def _parse_clustered_by(self) -> exp.ClusteredByProperty:
self._match_text_seq("BY")
self._match_l_paren()
expressions = self._parse_csv(self._parse_column)
self._match_r_paren()
if self._match_text_seq("SORTED", "BY"):
self._match_l_paren()
sorted_by = self._parse_csv(self._parse_ordered)
self._match_r_paren()
else:
sorted_by = None
self._match(TokenType.INTO)
buckets = self._parse_number()
self._match_text_seq("BUCKETS")
return self.expression(
exp.ClusteredByProperty,
expressions=expressions,
sorted_by=sorted_by,
buckets=buckets,
)
def _parse_copy_property(self) -> t.Optional[exp.CopyGrantsProperty]:
if not self._match_text_seq("GRANTS"):
self._retreat(self._index - 1)
return None
return self.expression(exp.CopyGrantsProperty)
def _parse_freespace(self) -> exp.FreespaceProperty:
self._match(TokenType.EQ)
return self.expression(
exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT)
)
def _parse_mergeblockratio(
self, no: bool = False, default: bool = False
) -> exp.MergeBlockRatioProperty:
if self._match(TokenType.EQ):
return self.expression(
exp.MergeBlockRatioProperty,
this=self._parse_number(),
percent=self._match(TokenType.PERCENT),
)
return self.expression(exp.MergeBlockRatioProperty, no=no, default=default)
def _parse_datablocksize(
self,
default: t.Optional[bool] = None,
minimum: t.Optional[bool] = None,
maximum: t.Optional[bool] = None,
) -> exp.DataBlocksizeProperty:
self._match(TokenType.EQ)
size = self._parse_number()
units = None
if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")):
units = self._prev.text
return self.expression(
exp.DataBlocksizeProperty,
size=size,
units=units,
default=default,
minimum=minimum,
maximum=maximum,
)
def _parse_blockcompression(self) -> exp.BlockCompressionProperty:
self._match(TokenType.EQ)
always = self._match_text_seq("ALWAYS")
manual = self._match_text_seq("MANUAL")
never = self._match_text_seq("NEVER")
default = self._match_text_seq("DEFAULT")
autotemp = None
if self._match_text_seq("AUTOTEMP"):
autotemp = self._parse_schema()
return self.expression(
exp.BlockCompressionProperty,
always=always,
manual=manual,
never=never,
default=default,
autotemp=autotemp,
)
def _parse_withisolatedloading(self) -> exp.IsolatedLoadingProperty:
no = self._match_text_seq("NO")
concurrent = self._match_text_seq("CONCURRENT")
self._match_text_seq("ISOLATED", "LOADING")
for_all = self._match_text_seq("FOR", "ALL")
for_insert = self._match_text_seq("FOR", "INSERT")
for_none = self._match_text_seq("FOR", "NONE")
return self.expression(
exp.IsolatedLoadingProperty,
no=no,
concurrent=concurrent,
for_all=for_all,
for_insert=for_insert,
for_none=for_none,
)
def _parse_locking(self) -> exp.LockingProperty:
if self._match(TokenType.TABLE):
kind = "TABLE"
elif self._match(TokenType.VIEW):
kind = "VIEW"
elif self._match(TokenType.ROW):
kind = "ROW"
elif self._match_text_seq("DATABASE"):
kind = "DATABASE"
else:
kind = None
if kind in ("DATABASE", "TABLE", "VIEW"):
this = self._parse_table_parts()
else:
this = None
if self._match(TokenType.FOR):
for_or_in = "FOR"
elif self._match(TokenType.IN):
for_or_in = "IN"
else:
for_or_in = None
if self._match_text_seq("ACCESS"):
lock_type = "ACCESS"
elif self._match_texts(("EXCL", "EXCLUSIVE")):
lock_type = "EXCLUSIVE"
elif self._match_text_seq("SHARE"):
lock_type = "SHARE"
elif self._match_text_seq("READ"):
lock_type = "READ"
elif self._match_text_seq("WRITE"):
lock_type = "WRITE"
elif self._match_text_seq("CHECKSUM"):
lock_type = "CHECKSUM"
else:
lock_type = None
override = self._match_text_seq("OVERRIDE")
return self.expression(
exp.LockingProperty,
this=this,
kind=kind,
for_or_in=for_or_in,
lock_type=lock_type,
override=override,
)
def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]:
if self._match(TokenType.PARTITION_BY):
return self._parse_csv(self._parse_conjunction)
return []
def _parse_partitioned_by(self) -> exp.PartitionedByProperty:
self._match(TokenType.EQ)
return self.expression(
exp.PartitionedByProperty,
this=self._parse_schema() or self._parse_bracket(self._parse_field()),
)
def _parse_withdata(self, no: bool = False) -> exp.WithDataProperty:
if self._match_text_seq("AND", "STATISTICS"):
statistics = True
elif self._match_text_seq("AND", "NO", "STATISTICS"):
statistics = False
else:
statistics = None
return self.expression(exp.WithDataProperty, no=no, statistics=statistics)
def _parse_no_property(self) -> t.Optional[exp.NoPrimaryIndexProperty]:
if self._match_text_seq("PRIMARY", "INDEX"):
return exp.NoPrimaryIndexProperty()
return None
def _parse_on_property(self) -> t.Optional[exp.Expression]:
if self._match_text_seq("COMMIT", "PRESERVE", "ROWS"):
return exp.OnCommitProperty()
elif self._match_text_seq("COMMIT", "DELETE", "ROWS"):
return exp.OnCommitProperty(delete=True)
return None
def _parse_distkey(self) -> exp.DistKeyProperty:
return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var))
def _parse_create_like(self) -> t.Optional[exp.LikeProperty]:
table = self._parse_table(schema=True)
options = []
while self._match_texts(("INCLUDING", "EXCLUDING")):
this = self._prev.text.upper()
id_var = self._parse_id_var()
if not id_var:
return None
options.append(
self.expression(exp.Property, this=this, value=exp.var(id_var.this.upper()))
)
return self.expression(exp.LikeProperty, this=table, expressions=options)
def _parse_sortkey(self, compound: bool = False) -> exp.SortKeyProperty:
return self.expression(
exp.SortKeyProperty, this=self._parse_wrapped_id_vars(), compound=compound
)
def _parse_character_set(self, default: bool = False) -> exp.CharacterSetProperty:
self._match(TokenType.EQ)
return self.expression(
exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default
)
def _parse_returns(self) -> exp.ReturnsProperty:
value: t.Optional[exp.Expression]
is_table = self._match(TokenType.TABLE)
if is_table:
if self._match(TokenType.LT):
value = self.expression(
exp.Schema,
this="TABLE",
expressions=self._parse_csv(self._parse_struct_types),
)
if not self._match(TokenType.GT):
self.raise_error("Expecting >")
else:
value = self._parse_schema(exp.var("TABLE"))
else:
value = self._parse_types()
return self.expression(exp.ReturnsProperty, this=value, is_table=is_table)
def _parse_describe(self) -> exp.Describe:
kind = self._match_set(self.CREATABLES) and self._prev.text
this = self._parse_table()
return self.expression(exp.Describe, this=this, kind=kind)
def _parse_insert(self) -> exp.Insert:
overwrite = self._match(TokenType.OVERWRITE)
ignore = self._match(TokenType.IGNORE)
local = self._match_text_seq("LOCAL")
alternative = None
if self._match_text_seq("DIRECTORY"):
this: t.Optional[exp.Expression] = self.expression(
exp.Directory,
this=self._parse_var_or_string(),
local=local,
row_format=self._parse_row_format(match_row=True),
)
else:
if self._match(TokenType.OR):
alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text
self._match(TokenType.INTO)
self._match(TokenType.TABLE)
this = self._parse_table(schema=True)
returning = self._parse_returning()
return self.expression(
exp.Insert,
this=this,
exists=self._parse_exists(),
partition=self._parse_partition(),
where=self._match_pair(TokenType.REPLACE, TokenType.WHERE)
and self._parse_conjunction(),
expression=self._parse_ddl_select(),
conflict=self._parse_on_conflict(),
returning=returning or self._parse_returning(),
overwrite=overwrite,
alternative=alternative,
ignore=ignore,
)
def _parse_on_conflict(self) -> t.Optional[exp.OnConflict]:
conflict = self._match_text_seq("ON", "CONFLICT")
duplicate = self._match_text_seq("ON", "DUPLICATE", "KEY")
if not conflict and not duplicate:
return None
nothing = None
expressions = None
key = None
constraint = None
if conflict:
if self._match_text_seq("ON", "CONSTRAINT"):
constraint = self._parse_id_var()
else:
key = self._parse_csv(self._parse_value)
self._match_text_seq("DO")
if self._match_text_seq("NOTHING"):
nothing = True
else:
self._match(TokenType.UPDATE)
self._match(TokenType.SET)
expressions = self._parse_csv(self._parse_equality)
return self.expression(
exp.OnConflict,
duplicate=duplicate,
expressions=expressions,
nothing=nothing,
key=key,
constraint=constraint,
)
def _parse_returning(self) -> t.Optional[exp.Returning]:
if not self._match(TokenType.RETURNING):
return None
return self.expression(
exp.Returning,
expressions=self._parse_csv(self._parse_expression),
into=self._match(TokenType.INTO) and self._parse_table_part(),
)
def _parse_row(self) -> t.Optional[exp.RowFormatSerdeProperty | exp.RowFormatDelimitedProperty]:
if not self._match(TokenType.FORMAT):
return None
return self._parse_row_format()
def _parse_row_format(
self, match_row: bool = False
) -> t.Optional[exp.RowFormatSerdeProperty | exp.RowFormatDelimitedProperty]:
if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT):
return None
if self._match_text_seq("SERDE"):
this = self._parse_string()
serde_properties = None
if self._match(TokenType.SERDE_PROPERTIES):
serde_properties = self.expression(
exp.SerdeProperties, expressions=self._parse_wrapped_csv(self._parse_property)
)
return self.expression(
exp.RowFormatSerdeProperty, this=this, serde_properties=serde_properties
)
self._match_text_seq("DELIMITED")
kwargs = {}
if self._match_text_seq("FIELDS", "TERMINATED", "BY"):
kwargs["fields"] = self._parse_string()
if self._match_text_seq("ESCAPED", "BY"):
kwargs["escaped"] = self._parse_string()
if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"):
kwargs["collection_items"] = self._parse_string()
if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"):
kwargs["map_keys"] = self._parse_string()
if self._match_text_seq("LINES", "TERMINATED", "BY"):
kwargs["lines"] = self._parse_string()
if self._match_text_seq("NULL", "DEFINED", "AS"):
kwargs["null"] = self._parse_string()
return self.expression(exp.RowFormatDelimitedProperty, **kwargs) # type: ignore
def _parse_load(self) -> exp.LoadData | exp.Command:
if self._match_text_seq("DATA"):
local = self._match_text_seq("LOCAL")
self._match_text_seq("INPATH")
inpath = self._parse_string()
overwrite = self._match(TokenType.OVERWRITE)
self._match_pair(TokenType.INTO, TokenType.TABLE)
return self.expression(
exp.LoadData,
this=self._parse_table(schema=True),
local=local,
overwrite=overwrite,
inpath=inpath,
partition=self._parse_partition(),
input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(),
serde=self._match_text_seq("SERDE") and self._parse_string(),
)
return self._parse_as_command(self._prev)
def _parse_delete(self) -> exp.Delete:
# This handles MySQL's "Multiple-Table Syntax"
# https://dev.mysql.com/doc/refman/8.0/en/delete.html
tables = None
if not self._match(TokenType.FROM, advance=False):
tables = self._parse_csv(self._parse_table) or None
returning = self._parse_returning()
return self.expression(
exp.Delete,
tables=tables,
this=self._match(TokenType.FROM) and self._parse_table(joins=True),
using=self._match(TokenType.USING) and self._parse_table(joins=True),
where=self._parse_where(),
returning=returning or self._parse_returning(),
limit=self._parse_limit(),
)
def _parse_update(self) -> exp.Update:
this = self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS)
expressions = self._match(TokenType.SET) and self._parse_csv(self._parse_equality)
returning = self._parse_returning()
return self.expression(
exp.Update,
**{ # type: ignore
"this": this,
"expressions": expressions,
"from": self._parse_from(joins=True),
"where": self._parse_where(),
"returning": returning or self._parse_returning(),
"limit": self._parse_limit(),
},
)
def _parse_uncache(self) -> exp.Uncache:
if not self._match(TokenType.TABLE):
self.raise_error("Expecting TABLE after UNCACHE")
return self.expression(
exp.Uncache, exists=self._parse_exists(), this=self._parse_table(schema=True)
)
def _parse_cache(self) -> exp.Cache:
lazy = self._match_text_seq("LAZY")
self._match(TokenType.TABLE)
table = self._parse_table(schema=True)
options = []
if self._match_text_seq("OPTIONS"):
self._match_l_paren()
k = self._parse_string()
self._match(TokenType.EQ)
v = self._parse_string()
options = [k, v]
self._match_r_paren()
self._match(TokenType.ALIAS)
return self.expression(
exp.Cache,
this=table,
lazy=lazy,
options=options,
expression=self._parse_select(nested=True),
)
def _parse_partition(self) -> t.Optional[exp.Partition]:
if not self._match(TokenType.PARTITION):
return None
return self.expression(
exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction)
)
def _parse_value(self) -> exp.Tuple:
if self._match(TokenType.L_PAREN):
expressions = self._parse_csv(self._parse_conjunction)
self._match_r_paren()
return self.expression(exp.Tuple, expressions=expressions)
# In presto we can have VALUES 1, 2 which results in 1 column & 2 rows.
# https://prestodb.io/docs/current/sql/values.html
return self.expression(exp.Tuple, expressions=[self._parse_conjunction()])
def _parse_select(
self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True
) -> t.Optional[exp.Expression]:
cte = self._parse_with()
if cte:
this = self._parse_statement()
if not this:
self.raise_error("Failed to parse any statement following CTE")
return cte
if "with" in this.arg_types:
this.set("with", cte)
else:
self.raise_error(f"{this.key} does not support CTE")
this = cte
elif self._match(TokenType.SELECT):
comments = self._prev_comments
hint = self._parse_hint()
all_ = self._match(TokenType.ALL)
distinct = self._match(TokenType.DISTINCT)
kind = (
self._match(TokenType.ALIAS)
and self._match_texts(("STRUCT", "VALUE"))
and self._prev.text
)
if distinct:
distinct = self.expression(
exp.Distinct,
on=self._parse_value() if self._match(TokenType.ON) else None,
)
if all_ and distinct:
self.raise_error("Cannot specify both ALL and DISTINCT after SELECT")
limit = self._parse_limit(top=True)
expressions = self._parse_expressions()
this = self.expression(
exp.Select,
kind=kind,
hint=hint,
distinct=distinct,
expressions=expressions,
limit=limit,
)
this.comments = comments
into = self._parse_into()
if into:
this.set("into", into)
from_ = self._parse_from()
if from_:
this.set("from", from_)
this = self._parse_query_modifiers(this)
elif (table or nested) and self._match(TokenType.L_PAREN):
if self._match(TokenType.PIVOT):
this = self._parse_simplified_pivot()
elif self._match(TokenType.FROM):
this = exp.select("*").from_(
t.cast(exp.From, self._parse_from(skip_from_token=True))
)
else:
this = self._parse_table() if table else self._parse_select(nested=True)
this = self._parse_set_operations(self._parse_query_modifiers(this))
self._match_r_paren()
# We return early here so that the UNION isn't attached to the subquery by the
# following call to _parse_set_operations, but instead becomes the parent node
return self._parse_subquery(this, parse_alias=parse_subquery_alias)
elif self._match(TokenType.VALUES):
this = self.expression(
exp.Values,
expressions=self._parse_csv(self._parse_value),
alias=self._parse_table_alias(),
)
else:
this = None
return self._parse_set_operations(this)
def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.With]:
if not skip_with_token and not self._match(TokenType.WITH):
return None
comments = self._prev_comments
recursive = self._match(TokenType.RECURSIVE)
expressions = []
while True:
expressions.append(self._parse_cte())
if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH):
break
else:
self._match(TokenType.WITH)
return self.expression(
exp.With, comments=comments, expressions=expressions, recursive=recursive
)
def _parse_cte(self) -> exp.CTE:
alias = self._parse_table_alias()
if not alias or not alias.this:
self.raise_error("Expected CTE to have alias")
self._match(TokenType.ALIAS)
return self.expression(
exp.CTE, this=self._parse_wrapped(self._parse_statement), alias=alias
)
def _parse_table_alias(
self, alias_tokens: t.Optional[t.Collection[TokenType]] = None
) -> t.Optional[exp.TableAlias]:
any_token = self._match(TokenType.ALIAS)
alias = (
self._parse_id_var(any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
or self._parse_string_as_identifier()
)
index = self._index
if self._match(TokenType.L_PAREN):
columns = self._parse_csv(self._parse_function_parameter)
self._match_r_paren() if columns else self._retreat(index)
else:
columns = None
if not alias and not columns:
return None
return self.expression(exp.TableAlias, this=alias, columns=columns)
def _parse_subquery(
self, this: t.Optional[exp.Expression], parse_alias: bool = True
) -> t.Optional[exp.Subquery]:
if not this:
return None
return self.expression(
exp.Subquery,
this=this,
pivots=self._parse_pivots(),
alias=self._parse_table_alias() if parse_alias else None,
)
def _parse_query_modifiers(
self, this: t.Optional[exp.Expression]
) -> t.Optional[exp.Expression]:
if isinstance(this, self.MODIFIABLES):
for join in iter(self._parse_join, None):
this.append("joins", join)
for lateral in iter(self._parse_lateral, None):
this.append("laterals", lateral)
while True:
if self._match_set(self.QUERY_MODIFIER_PARSERS, advance=False):
parser = self.QUERY_MODIFIER_PARSERS[self._curr.token_type]
key, expression = parser(self)
if expression:
this.set(key, expression)
if key == "limit":
offset = expression.args.pop("offset", None)
if offset:
this.set("offset", exp.Offset(expression=offset))
continue
break
return this
def _parse_hint(self) -> t.Optional[exp.Hint]:
if self._match(TokenType.HINT):
hints = []
for hint in iter(lambda: self._parse_csv(self._parse_function), []):
hints.extend(hint)
if not self._match_pair(TokenType.STAR, TokenType.SLASH):
self.raise_error("Expected */ after HINT")
return self.expression(exp.Hint, expressions=hints)
return None
def _parse_into(self) -> t.Optional[exp.Into]:
if not self._match(TokenType.INTO):
return None
temp = self._match(TokenType.TEMPORARY)
unlogged = self._match_text_seq("UNLOGGED")
self._match(TokenType.TABLE)
return self.expression(
exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged
)
def _parse_from(
self, joins: bool = False, skip_from_token: bool = False
) -> t.Optional[exp.From]:
if not skip_from_token and not self._match(TokenType.FROM):
return None
return self.expression(
exp.From, comments=self._prev_comments, this=self._parse_table(joins=joins)
)
def _parse_match_recognize(self) -> t.Optional[exp.MatchRecognize]:
if not self._match(TokenType.MATCH_RECOGNIZE):
return None
self._match_l_paren()
partition = self._parse_partition_by()
order = self._parse_order()
measures = self._parse_expressions() if self._match_text_seq("MEASURES") else None
if self._match_text_seq("ONE", "ROW", "PER", "MATCH"):
rows = exp.var("ONE ROW PER MATCH")
elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"):
text = "ALL ROWS PER MATCH"
if self._match_text_seq("SHOW", "EMPTY", "MATCHES"):
text += f" SHOW EMPTY MATCHES"
elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"):
text += f" OMIT EMPTY MATCHES"
elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"):
text += f" WITH UNMATCHED ROWS"
rows = exp.var(text)
else:
rows = None
if self._match_text_seq("AFTER", "MATCH", "SKIP"):
text = "AFTER MATCH SKIP"
if self._match_text_seq("PAST", "LAST", "ROW"):
text += f" PAST LAST ROW"
elif self._match_text_seq("TO", "NEXT", "ROW"):
text += f" TO NEXT ROW"
elif self._match_text_seq("TO", "FIRST"):
text += f" TO FIRST {self._advance_any().text}" # type: ignore
elif self._match_text_seq("TO", "LAST"):
text += f" TO LAST {self._advance_any().text}" # type: ignore
after = exp.var(text)
else:
after = None
if self._match_text_seq("PATTERN"):
self._match_l_paren()
if not self._curr:
self.raise_error("Expecting )", self._curr)
paren = 1
start = self._curr
while self._curr and paren > 0:
if self._curr.token_type == TokenType.L_PAREN:
paren += 1
if self._curr.token_type == TokenType.R_PAREN:
paren -= 1
end = self._prev
self._advance()
if paren > 0:
self.raise_error("Expecting )", self._curr)
pattern = exp.var(self._find_sql(start, end))
else:
pattern = None
define = (
self._parse_csv(
lambda: self.expression(
exp.Alias,
alias=self._parse_id_var(any_token=True),
this=self._match(TokenType.ALIAS) and self._parse_conjunction(),
)
)
if self._match_text_seq("DEFINE")
else None
)
self._match_r_paren()
return self.expression(
exp.MatchRecognize,
partition_by=partition,
order=order,
measures=measures,
rows=rows,
after=after,
pattern=pattern,
define=define,
alias=self._parse_table_alias(),
)
def _parse_lateral(self) -> t.Optional[exp.Lateral]:
outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY)
cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY)
if outer_apply or cross_apply:
this = self._parse_select(table=True)
view = None
outer = not cross_apply
elif self._match(TokenType.LATERAL):
this = self._parse_select(table=True)
view = self._match(TokenType.VIEW)
outer = self._match(TokenType.OUTER)
else:
return None
if not this:
this = self._parse_function() or self._parse_id_var(any_token=False)
while self._match(TokenType.DOT):
this = exp.Dot(
this=this,
expression=self._parse_function() or self._parse_id_var(any_token=False),
)
if view:
table = self._parse_id_var(any_token=False)
columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else []
table_alias: t.Optional[exp.TableAlias] = self.expression(
exp.TableAlias, this=table, columns=columns
)
elif isinstance(this, exp.Subquery) and this.alias:
# Ensures parity between the Subquery's and the Lateral's "alias" args
table_alias = this.args["alias"].copy()
else:
table_alias = self._parse_table_alias()
return self.expression(exp.Lateral, this=this, view=view, outer=outer, alias=table_alias)
def _parse_join_parts(
self,
) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
return (
self._match_set(self.JOIN_METHODS) and self._prev,
self._match_set(self.JOIN_SIDES) and self._prev,
self._match_set(self.JOIN_KINDS) and self._prev,
)
def _parse_join(
self, skip_join_token: bool = False, parse_bracket: bool = False
) -> t.Optional[exp.Join]:
if self._match(TokenType.COMMA):
return self.expression(exp.Join, this=self._parse_table())
index = self._index
method, side, kind = self._parse_join_parts()
hint = self._prev.text if self._match_texts(self.JOIN_HINTS) else None
join = self._match(TokenType.JOIN)
if not skip_join_token and not join:
self._retreat(index)
kind = None
method = None
side = None
outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY, False)
cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY, False)
if not skip_join_token and not join and not outer_apply and not cross_apply:
return None
if outer_apply:
side = Token(TokenType.LEFT, "LEFT")
kwargs: t.Dict[str, t.Any] = {"this": self._parse_table(parse_bracket=parse_bracket)}
if method:
kwargs["method"] = method.text
if side:
kwargs["side"] = side.text
if kind:
kwargs["kind"] = kind.text
if hint:
kwargs["hint"] = hint
if self._match(TokenType.ON):
kwargs["on"] = self._parse_conjunction()
elif self._match(TokenType.USING):
kwargs["using"] = self._parse_wrapped_id_vars()
elif not (kind and kind.token_type == TokenType.CROSS):
index = self._index
joins = self._parse_joins()
if joins and self._match(TokenType.ON):
kwargs["on"] = self._parse_conjunction()
elif joins and self._match(TokenType.USING):
kwargs["using"] = self._parse_wrapped_id_vars()
else:
joins = None
self._retreat(index)
kwargs["this"].set("joins", joins)
return self.expression(exp.Join, **kwargs)
def _parse_index(
self,
index: t.Optional[exp.Expression] = None,
) -> t.Optional[exp.Index]:
if index:
unique = None
primary = None
amp = None
self._match(TokenType.ON)
self._match(TokenType.TABLE) # hive
table = self._parse_table_parts(schema=True)
else:
unique = self._match(TokenType.UNIQUE)
primary = self._match_text_seq("PRIMARY")
amp = self._match_text_seq("AMP")
if not self._match(TokenType.INDEX):
return None
index = self._parse_id_var()
table = None
using = self._parse_field() if self._match(TokenType.USING) else None
if self._match(TokenType.L_PAREN, advance=False):
columns = self._parse_wrapped_csv(self._parse_ordered)
else:
columns = None
return self.expression(
exp.Index,
this=index,
table=table,
using=using,
columns=columns,
unique=unique,
primary=primary,
amp=amp,
partition_by=self._parse_partition_by(),
)
def _parse_table_hints(self) -> t.Optional[t.List[exp.Expression]]:
hints: t.List[exp.Expression] = []
if self._match_pair(TokenType.WITH, TokenType.L_PAREN):
# https://learn.microsoft.com/en-us/sql/t-sql/queries/hints-transact-sql-table?view=sql-server-ver16
hints.append(
self.expression(
exp.WithTableHint,
expressions=self._parse_csv(
lambda: self._parse_function() or self._parse_var(any_token=True)
),
)
)
self._match_r_paren()
else:
# https://dev.mysql.com/doc/refman/8.0/en/index-hints.html
while self._match_set(self.TABLE_INDEX_HINT_TOKENS):
hint = exp.IndexTableHint(this=self._prev.text.upper())
self._match_texts({"INDEX", "KEY"})
if self._match(TokenType.FOR):
hint.set("target", self._advance_any() and self._prev.text.upper())
hint.set("expressions", self._parse_wrapped_id_vars())
hints.append(hint)
return hints or None
def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
return (
(not schema and self._parse_function(optional_parens=False))
or self._parse_id_var(any_token=False)
or self._parse_string_as_identifier()
or self._parse_placeholder()
)
def _parse_table_parts(self, schema: bool = False) -> exp.Table:
catalog = None
db = None
table = self._parse_table_part(schema=schema)
while self._match(TokenType.DOT):
if catalog:
# This allows nesting the table in arbitrarily many dot expressions if needed
table = self.expression(
exp.Dot, this=table, expression=self._parse_table_part(schema=schema)
)
else:
catalog = db
db = table
table = self._parse_table_part(schema=schema)
if not table:
self.raise_error(f"Expected table name but got {self._curr}")
return self.expression(
exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots()
)
def _parse_table(
self,
schema: bool = False,
joins: bool = False,
alias_tokens: t.Optional[t.Collection[TokenType]] = None,
parse_bracket: bool = False,
) -> t.Optional[exp.Expression]:
lateral = self._parse_lateral()
if lateral:
return lateral
unnest = self._parse_unnest()
if unnest:
return unnest
values = self._parse_derived_table_values()
if values:
return values
subquery = self._parse_select(table=True)
if subquery:
if not subquery.args.get("pivots"):
subquery.set("pivots", self._parse_pivots())
return subquery
bracket = parse_bracket and self._parse_bracket(None)
bracket = self.expression(exp.Table, this=bracket) if bracket else None
this: exp.Expression = bracket or self._parse_table_parts(schema=schema)
if schema:
return self._parse_schema(this=this)
if self.ALIAS_POST_TABLESAMPLE:
table_sample = self._parse_table_sample()
alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
if alias:
this.set("alias", alias)
if not this.args.get("pivots"):
this.set("pivots", self._parse_pivots())
this.set("hints", self._parse_table_hints())
if not self.ALIAS_POST_TABLESAMPLE:
table_sample = self._parse_table_sample()
if table_sample:
table_sample.set("this", this)
this = table_sample
if joins:
for join in iter(self._parse_join, None):
this.append("joins", join)
return this
def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
if not self._match(TokenType.UNNEST):
return None
expressions = self._parse_wrapped_csv(self._parse_type)
ordinality = self._match_pair(TokenType.WITH, TokenType.ORDINALITY)
alias = self._parse_table_alias() if with_alias else None
if alias and self.UNNEST_COLUMN_ONLY:
if alias.args.get("columns"):
self.raise_error("Unexpected extra column alias in unnest.")
alias.set("columns", [alias.this])
alias.set("this", None)
offset = None
if self._match_pair(TokenType.WITH, TokenType.OFFSET):
self._match(TokenType.ALIAS)
offset = self._parse_id_var() or exp.to_identifier("offset")
return self.expression(
exp.Unnest, expressions=expressions, ordinality=ordinality, alias=alias, offset=offset
)
def _parse_derived_table_values(self) -> t.Optional[exp.Values]:
is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES)
if not is_derived and not self._match(TokenType.VALUES):
return None
expressions = self._parse_csv(self._parse_value)
alias = self._parse_table_alias()
if is_derived:
self._match_r_paren()
return self.expression(
exp.Values, expressions=expressions, alias=alias or self._parse_table_alias()
)
def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.TableSample]:
if not self._match(TokenType.TABLE_SAMPLE) and not (
as_modifier and self._match_text_seq("USING", "SAMPLE")
):
return None
bucket_numerator = None
bucket_denominator = None
bucket_field = None
percent = None
rows = None
size = None
seed = None
kind = (
self._prev.text if self._prev.token_type == TokenType.TABLE_SAMPLE else "USING SAMPLE"
)
method = self._parse_var(tokens=(TokenType.ROW,))
self._match(TokenType.L_PAREN)
num = self._parse_number()
if self._match_text_seq("BUCKET"):
bucket_numerator = self._parse_number()
self._match_text_seq("OUT", "OF")
bucket_denominator = bucket_denominator = self._parse_number()
self._match(TokenType.ON)
bucket_field = self._parse_field()
elif self._match_set((TokenType.PERCENT, TokenType.MOD)):
percent = num
elif self._match(TokenType.ROWS):
rows = num
else:
size = num
self._match(TokenType.R_PAREN)
if self._match(TokenType.L_PAREN):
method = self._parse_var()
seed = self._match(TokenType.COMMA) and self._parse_number()
self._match_r_paren()
elif self._match_texts(("SEED", "REPEATABLE")):
seed = self._parse_wrapped(self._parse_number)
return self.expression(
exp.TableSample,
method=method,
bucket_numerator=bucket_numerator,
bucket_denominator=bucket_denominator,
bucket_field=bucket_field,
percent=percent,
rows=rows,
size=size,
seed=seed,
kind=kind,
)
def _parse_pivots(self) -> t.Optional[t.List[exp.Pivot]]:
return list(iter(self._parse_pivot, None)) or None
def _parse_joins(self) -> t.Optional[t.List[exp.Join]]:
return list(iter(self._parse_join, None)) or None
# https://duckdb.org/docs/sql/statements/pivot
def _parse_simplified_pivot(self) -> exp.Pivot:
def _parse_on() -> t.Optional[exp.Expression]:
this = self._parse_bitwise()
return self._parse_in(this) if self._match(TokenType.IN) else this
this = self._parse_table()
expressions = self._match(TokenType.ON) and self._parse_csv(_parse_on)
using = self._match(TokenType.USING) and self._parse_csv(
lambda: self._parse_alias(self._parse_function())
)
group = self._parse_group()
return self.expression(
exp.Pivot, this=this, expressions=expressions, using=using, group=group
)
def _parse_pivot(self) -> t.Optional[exp.Pivot]:
index = self._index
if self._match(TokenType.PIVOT):
unpivot = False
elif self._match(TokenType.UNPIVOT):
unpivot = True
else:
return None
expressions = []
field = None
if not self._match(TokenType.L_PAREN):
self._retreat(index)
return None
if unpivot:
expressions = self._parse_csv(self._parse_column)
else:
expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function()))
if not expressions:
self.raise_error("Failed to parse PIVOT's aggregation list")
if not self._match(TokenType.FOR):
self.raise_error("Expecting FOR")
value = self._parse_column()
if not self._match(TokenType.IN):
self.raise_error("Expecting IN")
field = self._parse_in(value, alias=True)
self._match_r_paren()
pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot)
if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False):
pivot.set("alias", self._parse_table_alias())
if not unpivot:
names = self._pivot_column_names(t.cast(t.List[exp.Expression], expressions))
columns: t.List[exp.Expression] = []
for fld in pivot.args["field"].expressions:
field_name = fld.sql() if self.IDENTIFY_PIVOT_STRINGS else fld.alias_or_name
for name in names:
if self.PREFIXED_PIVOT_COLUMNS:
name = f"{name}_{field_name}" if name else field_name
else:
name = f"{field_name}_{name}" if name else field_name
columns.append(exp.to_identifier(name))
pivot.set("columns", columns)
return pivot
def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
return [agg.alias for agg in aggregations]
def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Where]:
if not skip_where_token and not self._match(TokenType.WHERE):
return None
return self.expression(
exp.Where, comments=self._prev_comments, this=self._parse_conjunction()
)
def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Group]:
if not skip_group_by_token and not self._match(TokenType.GROUP_BY):
return None
elements = defaultdict(list)
if self._match(TokenType.ALL):
return self.expression(exp.Group, all=True)
while True:
expressions = self._parse_csv(self._parse_conjunction)
if expressions:
elements["expressions"].extend(expressions)
grouping_sets = self._parse_grouping_sets()
if grouping_sets:
elements["grouping_sets"].extend(grouping_sets)
rollup = None
cube = None
totals = None
with_ = self._match(TokenType.WITH)
if self._match(TokenType.ROLLUP):
rollup = with_ or self._parse_wrapped_csv(self._parse_column)
elements["rollup"].extend(ensure_list(rollup))
if self._match(TokenType.CUBE):
cube = with_ or self._parse_wrapped_csv(self._parse_column)
elements["cube"].extend(ensure_list(cube))
if self._match_text_seq("TOTALS"):
totals = True
elements["totals"] = True # type: ignore
if not (grouping_sets or rollup or cube or totals):
break
return self.expression(exp.Group, **elements) # type: ignore
def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
if not self._match(TokenType.GROUPING_SETS):
return None
return self._parse_wrapped_csv(self._parse_grouping_set)
def _parse_grouping_set(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.L_PAREN):
grouping_set = self._parse_csv(self._parse_column)
self._match_r_paren()
return self.expression(exp.Tuple, expressions=grouping_set)
return self._parse_column()
def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Having]:
if not skip_having_token and not self._match(TokenType.HAVING):
return None
return self.expression(exp.Having, this=self._parse_conjunction())
def _parse_qualify(self) -> t.Optional[exp.Qualify]:
if not self._match(TokenType.QUALIFY):
return None
return self.expression(exp.Qualify, this=self._parse_conjunction())
def _parse_order(
self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False
) -> t.Optional[exp.Expression]:
if not skip_order_token and not self._match(TokenType.ORDER_BY):
return this
return self.expression(
exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered)
)
def _parse_sort(self, exp_class: t.Type[E], token: TokenType) -> t.Optional[E]:
if not self._match(token):
return None
return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered))
def _parse_ordered(self) -> exp.Ordered:
this = self._parse_conjunction()
self._match(TokenType.ASC)
is_desc = self._match(TokenType.DESC)
is_nulls_first = self._match_text_seq("NULLS", "FIRST")
is_nulls_last = self._match_text_seq("NULLS", "LAST")
desc = is_desc or False
asc = not desc
nulls_first = is_nulls_first or False
explicitly_null_ordered = is_nulls_first or is_nulls_last
if (
not explicitly_null_ordered
and (
(asc and self.NULL_ORDERING == "nulls_are_small")
or (desc and self.NULL_ORDERING != "nulls_are_small")
)
and self.NULL_ORDERING != "nulls_are_last"
):
nulls_first = True
return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first)
def _parse_limit(
self, this: t.Optional[exp.Expression] = None, top: bool = False
) -> t.Optional[exp.Expression]:
if self._match(TokenType.TOP if top else TokenType.LIMIT):
comments = self._prev_comments
if top:
limit_paren = self._match(TokenType.L_PAREN)
expression = self._parse_number()
if limit_paren:
self._match_r_paren()
else:
expression = self._parse_term()
if self._match(TokenType.COMMA):
offset = expression
expression = self._parse_term()
else:
offset = None
limit_exp = self.expression(
exp.Limit, this=this, expression=expression, offset=offset, comments=comments
)
return limit_exp
if self._match(TokenType.FETCH):
direction = self._match_set((TokenType.FIRST, TokenType.NEXT))
direction = self._prev.text if direction else "FIRST"
count = self._parse_number()
percent = self._match(TokenType.PERCENT)
self._match_set((TokenType.ROW, TokenType.ROWS))
only = self._match_text_seq("ONLY")
with_ties = self._match_text_seq("WITH", "TIES")
if only and with_ties:
self.raise_error("Cannot specify both ONLY and WITH TIES in FETCH clause")
return self.expression(
exp.Fetch,
direction=direction,
count=count,
percent=percent,
with_ties=with_ties,
)
return this
def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
if not self._match(TokenType.OFFSET):
return this
count = self._parse_term()
self._match_set((TokenType.ROW, TokenType.ROWS))
return self.expression(exp.Offset, this=this, expression=count)
def _parse_locks(self) -> t.List[exp.Lock]:
locks = []
while True:
if self._match_text_seq("FOR", "UPDATE"):
update = True
elif self._match_text_seq("FOR", "SHARE") or self._match_text_seq(
"LOCK", "IN", "SHARE", "MODE"
):
update = False
else:
break
expressions = None
if self._match_text_seq("OF"):
expressions = self._parse_csv(lambda: self._parse_table(schema=True))
wait: t.Optional[bool | exp.Expression] = None
if self._match_text_seq("NOWAIT"):
wait = True
elif self._match_text_seq("WAIT"):
wait = self._parse_primary()
elif self._match_text_seq("SKIP", "LOCKED"):
wait = False
locks.append(
self.expression(exp.Lock, update=update, expressions=expressions, wait=wait)
)
return locks
def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
if not self._match_set(self.SET_OPERATIONS):
return this
token_type = self._prev.token_type
if token_type == TokenType.UNION:
expression = exp.Union
elif token_type == TokenType.EXCEPT:
expression = exp.Except
else:
expression = exp.Intersect
return self.expression(
expression,
this=this,
distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL),
expression=self._parse_set_operations(self._parse_select(nested=True)),
)
def _parse_expression(self) -> t.Optional[exp.Expression]:
return self._parse_alias(self._parse_conjunction())
def _parse_conjunction(self) -> t.Optional[exp.Expression]:
return self._parse_tokens(self._parse_equality, self.CONJUNCTION)
def _parse_equality(self) -> t.Optional[exp.Expression]:
return self._parse_tokens(self._parse_comparison, self.EQUALITY)
def _parse_comparison(self) -> t.Optional[exp.Expression]:
return self._parse_tokens(self._parse_range, self.COMPARISON)
def _parse_range(self) -> t.Optional[exp.Expression]:
this = self._parse_bitwise()
negate = self._match(TokenType.NOT)
if self._match_set(self.RANGE_PARSERS):
expression = self.RANGE_PARSERS[self._prev.token_type](self, this)
if not expression:
return this
this = expression
elif self._match(TokenType.ISNULL):
this = self.expression(exp.Is, this=this, expression=exp.Null())
# Postgres supports ISNULL and NOTNULL for conditions.
# https://blog.andreiavram.ro/postgresql-null-composite-type/
if self._match(TokenType.NOTNULL):
this = self.expression(exp.Is, this=this, expression=exp.Null())
this = self.expression(exp.Not, this=this)
if negate:
this = self.expression(exp.Not, this=this)
if self._match(TokenType.IS):
this = self._parse_is(this)
return this
def _parse_is(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
index = self._index - 1
negate = self._match(TokenType.NOT)
if self._match_text_seq("DISTINCT", "FROM"):
klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ
return self.expression(klass, this=this, expression=self._parse_expression())
expression = self._parse_null() or self._parse_boolean()
if not expression:
self._retreat(index)
return None
this = self.expression(exp.Is, this=this, expression=expression)
return self.expression(exp.Not, this=this) if negate else this
def _parse_in(self, this: t.Optional[exp.Expression], alias: bool = False) -> exp.In:
unnest = self._parse_unnest(with_alias=False)
if unnest:
this = self.expression(exp.In, this=this, unnest=unnest)
elif self._match(TokenType.L_PAREN):
expressions = self._parse_csv(lambda: self._parse_select_or_expression(alias=alias))
if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable):
this = self.expression(exp.In, this=this, query=expressions[0])
else:
this = self.expression(exp.In, this=this, expressions=expressions)
self._match_r_paren(this)
else:
this = self.expression(exp.In, this=this, field=self._parse_field())
return this
def _parse_between(self, this: exp.Expression) -> exp.Between:
low = self._parse_bitwise()
self._match(TokenType.AND)
high = self._parse_bitwise()
return self.expression(exp.Between, this=this, low=low, high=high)
def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
if not self._match(TokenType.ESCAPE):
return this
return self.expression(exp.Escape, this=this, expression=self._parse_string())
def _parse_interval(self) -> t.Optional[exp.Interval]:
if not self._match(TokenType.INTERVAL):
return None
if self._match(TokenType.STRING, advance=False):
this = self._parse_primary()
else:
this = self._parse_term()
unit = self._parse_function() or self._parse_var()
# Most dialects support, e.g., the form INTERVAL '5' day, thus we try to parse
# each INTERVAL expression into this canonical form so it's easy to transpile
if this and this.is_number:
this = exp.Literal.string(this.name)
elif this and this.is_string:
parts = this.name.split()
if len(parts) == 2:
if unit:
# this is not actually a unit, it's something else
unit = None
self._retreat(self._index - 1)
else:
this = exp.Literal.string(parts[0])
unit = self.expression(exp.Var, this=parts[1])
return self.expression(exp.Interval, this=this, unit=unit)
def _parse_bitwise(self) -> t.Optional[exp.Expression]:
this = self._parse_term()
while True:
if self._match_set(self.BITWISE):
this = self.expression(
self.BITWISE[self._prev.token_type], this=this, expression=self._parse_term()
)
elif self._match_pair(TokenType.LT, TokenType.LT):
this = self.expression(
exp.BitwiseLeftShift, this=this, expression=self._parse_term()
)
elif self._match_pair(TokenType.GT, TokenType.GT):
this = self.expression(
exp.BitwiseRightShift, this=this, expression=self._parse_term()
)
else:
break
return this
def _parse_term(self) -> t.Optional[exp.Expression]:
return self._parse_tokens(self._parse_factor, self.TERM)
def _parse_factor(self) -> t.Optional[exp.Expression]:
return self._parse_tokens(self._parse_unary, self.FACTOR)
def _parse_unary(self) -> t.Optional[exp.Expression]:
if self._match_set(self.UNARY_PARSERS):
return self.UNARY_PARSERS[self._prev.token_type](self)
return self._parse_at_time_zone(self._parse_type())
def _parse_type(self) -> t.Optional[exp.Expression]:
interval = self._parse_interval()
if interval:
return interval
index = self._index
data_type = self._parse_types(check_func=True)
this = self._parse_column()
if data_type:
if isinstance(this, exp.Literal):
parser = self.TYPE_LITERAL_PARSERS.get(data_type.this)
if parser:
return parser(self, this, data_type)
return self.expression(exp.Cast, this=this, to=data_type)
if not data_type.expressions:
self._retreat(index)
return self._parse_column()
return self._parse_column_ops(data_type)
return this
def _parse_type_size(self) -> t.Optional[exp.DataTypeSize]:
this = self._parse_type()
if not this:
return None
return self.expression(
exp.DataTypeSize, this=this, expression=self._parse_var(any_token=True)
)
def _parse_types(
self, check_func: bool = False, schema: bool = False
) -> t.Optional[exp.Expression]:
index = self._index
prefix = self._match_text_seq("SYSUDTLIB", ".")
if not self._match_set(self.TYPE_TOKENS):
return None
type_token = self._prev.token_type
if type_token == TokenType.PSEUDO_TYPE:
return self.expression(exp.PseudoType, this=self._prev.text)
nested = type_token in self.NESTED_TYPE_TOKENS
is_struct = type_token == TokenType.STRUCT
expressions = None
maybe_func = False
if self._match(TokenType.L_PAREN):
if is_struct:
expressions = self._parse_csv(self._parse_struct_types)
elif nested:
expressions = self._parse_csv(
lambda: self._parse_types(check_func=check_func, schema=schema)
)
elif type_token in self.ENUM_TYPE_TOKENS:
expressions = self._parse_csv(self._parse_primary)
else:
expressions = self._parse_csv(self._parse_type_size)
if not expressions or not self._match(TokenType.R_PAREN):
self._retreat(index)
return None
maybe_func = True
if self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
this = exp.DataType(
this=exp.DataType.Type.ARRAY,
expressions=[
exp.DataType(
this=exp.DataType.Type[type_token.value],
expressions=expressions,
nested=nested,
)
],
nested=True,
)
while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
this = exp.DataType(this=exp.DataType.Type.ARRAY, expressions=[this], nested=True)
return this
if self._match(TokenType.L_BRACKET):
self._retreat(index)
return None
values: t.Optional[t.List[t.Optional[exp.Expression]]] = None
if nested and self._match(TokenType.LT):
if is_struct:
expressions = self._parse_csv(self._parse_struct_types)
else:
expressions = self._parse_csv(
lambda: self._parse_types(check_func=check_func, schema=schema)
)
if not self._match(TokenType.GT):
self.raise_error("Expecting >")
if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)):
values = self._parse_csv(self._parse_conjunction)
self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN))
value: t.Optional[exp.Expression] = None
if type_token in self.TIMESTAMPS:
if self._match_text_seq("WITH", "TIME", "ZONE"):
maybe_func = False
value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions)
elif self._match_text_seq("WITH", "LOCAL", "TIME", "ZONE"):
maybe_func = False
value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions)
elif self._match_text_seq("WITHOUT", "TIME", "ZONE"):
maybe_func = False
elif type_token == TokenType.INTERVAL:
unit = self._parse_var()
if not unit:
value = self.expression(exp.DataType, this=exp.DataType.Type.INTERVAL)
else:
value = self.expression(exp.Interval, unit=unit)
if maybe_func and check_func:
index2 = self._index
peek = self._parse_string()
if not peek:
self._retreat(index)
return None
self._retreat(index2)
if value:
return value
return exp.DataType(
this=exp.DataType.Type[type_token.value],
expressions=expressions,
nested=nested,
values=values,
prefix=prefix,
)
def _parse_struct_types(self) -> t.Optional[exp.Expression]:
this = self._parse_type() or self._parse_id_var()
self._match(TokenType.COLON)
return self._parse_column_def(this)
def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
if not self._match_text_seq("AT", "TIME", "ZONE"):
return this
return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary())
def _parse_column(self) -> t.Optional[exp.Expression]:
this = self._parse_field()
if isinstance(this, exp.Identifier):
this = self.expression(exp.Column, this=this)
elif not this:
return self._parse_bracket(this)
return self._parse_column_ops(this)
def _parse_column_ops(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
this = self._parse_bracket(this)
while self._match_set(self.COLUMN_OPERATORS):
op_token = self._prev.token_type
op = self.COLUMN_OPERATORS.get(op_token)
if op_token == TokenType.DCOLON:
field = self._parse_types()
if not field:
self.raise_error("Expected type")
elif op and self._curr:
self._advance()
value = self._prev.text
field = (
exp.Literal.number(value)
if self._prev.token_type == TokenType.NUMBER
else exp.Literal.string(value)
)
else:
field = self._parse_field(anonymous_func=True, any_token=True)
if isinstance(field, exp.Func):
# bigquery allows function calls like x.y.count(...)
# SAFE.SUBSTR(...)
# https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules
this = self._replace_columns_with_dots(this)
if op:
this = op(self, this, field)
elif isinstance(this, exp.Column) and not this.args.get("catalog"):
this = self.expression(
exp.Column,
this=field,
table=this.this,
db=this.args.get("table"),
catalog=this.args.get("db"),
)
else:
this = self.expression(exp.Dot, this=this, expression=field)
this = self._parse_bracket(this)
return this
def _parse_primary(self) -> t.Optional[exp.Expression]:
if self._match_set(self.PRIMARY_PARSERS):
token_type = self._prev.token_type
primary = self.PRIMARY_PARSERS[token_type](self, self._prev)
if token_type == TokenType.STRING:
expressions = [primary]
while self._match(TokenType.STRING):
expressions.append(exp.Literal.string(self._prev.text))
if len(expressions) > 1:
return self.expression(exp.Concat, expressions=expressions)
return primary
if self._match_pair(TokenType.DOT, TokenType.NUMBER):
return exp.Literal.number(f"0.{self._prev.text}")
if self._match(TokenType.L_PAREN):
comments = self._prev_comments
query = self._parse_select()
if query:
expressions = [query]
else:
expressions = self._parse_expressions()
this = self._parse_query_modifiers(seq_get(expressions, 0))
if isinstance(this, exp.Subqueryable):
this = self._parse_set_operations(
self._parse_subquery(this=this, parse_alias=False)
)
elif len(expressions) > 1:
this = self.expression(exp.Tuple, expressions=expressions)
else:
this = self.expression(exp.Paren, this=self._parse_set_operations(this))
if this:
this.add_comments(comments)
self._match_r_paren(expression=this)
return this
return None
def _parse_field(
self,
any_token: bool = False,
tokens: t.Optional[t.Collection[TokenType]] = None,
anonymous_func: bool = False,
) -> t.Optional[exp.Expression]:
return (
self._parse_primary()
or self._parse_function(anonymous=anonymous_func)
or self._parse_id_var(any_token=any_token, tokens=tokens)
)
def _parse_function(
self,
functions: t.Optional[t.Dict[str, t.Callable]] = None,
anonymous: bool = False,
optional_parens: bool = True,
) -> t.Optional[exp.Expression]:
if not self._curr:
return None
token_type = self._curr.token_type
if optional_parens and self._match_set(self.NO_PAREN_FUNCTION_PARSERS):
return self.NO_PAREN_FUNCTION_PARSERS[token_type](self)
if not self._next or self._next.token_type != TokenType.L_PAREN:
if optional_parens and token_type in self.NO_PAREN_FUNCTIONS:
self._advance()
return self.expression(self.NO_PAREN_FUNCTIONS[token_type])
return None
if token_type not in self.FUNC_TOKENS:
return None
this = self._curr.text
upper = this.upper()
self._advance(2)
parser = self.FUNCTION_PARSERS.get(upper)
if parser and not anonymous:
this = parser(self)
else:
subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type)
if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH):
this = self.expression(subquery_predicate, this=self._parse_select())
self._match_r_paren()
return this
if functions is None:
functions = self.FUNCTIONS
function = functions.get(upper)
alias = upper in self.FUNCTIONS_WITH_ALIASED_ARGS
args = self._parse_csv(lambda: self._parse_lambda(alias=alias))
if function and not anonymous:
this = self.validate_expression(function(args), args)
else:
this = self.expression(exp.Anonymous, this=this, expressions=args)
self._match(TokenType.R_PAREN, expression=this)
return self._parse_window(this)
def _parse_function_parameter(self) -> t.Optional[exp.Expression]:
return self._parse_column_def(self._parse_id_var())
def _parse_user_defined_function(
self, kind: t.Optional[TokenType] = None
) -> t.Optional[exp.Expression]:
this = self._parse_id_var()
while self._match(TokenType.DOT):
this = self.expression(exp.Dot, this=this, expression=self._parse_id_var())
if not self._match(TokenType.L_PAREN):
return this
expressions = self._parse_csv(self._parse_function_parameter)
self._match_r_paren()
return self.expression(
exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True
)
def _parse_introducer(self, token: Token) -> exp.Introducer | exp.Identifier:
literal = self._parse_primary()
if literal:
return self.expression(exp.Introducer, this=token.text, expression=literal)
return self.expression(exp.Identifier, this=token.text)
def _parse_session_parameter(self) -> exp.SessionParameter:
kind = None
this = self._parse_id_var() or self._parse_primary()
if this and self._match(TokenType.DOT):
kind = this.name
this = self._parse_var() or self._parse_primary()
return self.expression(exp.SessionParameter, this=this, kind=kind)
def _parse_lambda(self, alias: bool = False) -> t.Optional[exp.Expression]:
index = self._index
if self._match(TokenType.L_PAREN):
expressions = self._parse_csv(self._parse_id_var)
if not self._match(TokenType.R_PAREN):
self._retreat(index)
else:
expressions = [self._parse_id_var()]
if self._match_set(self.LAMBDAS):
return self.LAMBDAS[self._prev.token_type](self, expressions)
self._retreat(index)
this: t.Optional[exp.Expression]
if self._match(TokenType.DISTINCT):
this = self.expression(
exp.Distinct, expressions=self._parse_csv(self._parse_conjunction)
)
else:
this = self._parse_select_or_expression(alias=alias)
return self._parse_limit(self._parse_order(self._parse_respect_or_ignore_nulls(this)))
def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
index = self._index
if not self.errors:
try:
if self._parse_select(nested=True):
return this
except ParseError:
pass
finally:
self.errors.clear()
self._retreat(index)
if not self._match(TokenType.L_PAREN):
return this
args = self._parse_csv(
lambda: self._parse_constraint()
or self._parse_column_def(self._parse_field(any_token=True))
)
self._match_r_paren()
return self.expression(exp.Schema, this=this, expressions=args)
def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
# column defs are not really columns, they're identifiers
if isinstance(this, exp.Column):
this = this.this
kind = self._parse_types(schema=True)
if self._match_text_seq("FOR", "ORDINALITY"):
return self.expression(exp.ColumnDef, this=this, ordinality=True)
constraints = []
while True:
constraint = self._parse_column_constraint()
if not constraint:
break
constraints.append(constraint)
if not kind and not constraints:
return this
return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints)
def _parse_auto_increment(
self,
) -> exp.GeneratedAsIdentityColumnConstraint | exp.AutoIncrementColumnConstraint:
start = None
increment = None
if self._match(TokenType.L_PAREN, advance=False):
args = self._parse_wrapped_csv(self._parse_bitwise)
start = seq_get(args, 0)
increment = seq_get(args, 1)
elif self._match_text_seq("START"):
start = self._parse_bitwise()
self._match_text_seq("INCREMENT")
increment = self._parse_bitwise()
if start and increment:
return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment)
return exp.AutoIncrementColumnConstraint()
def _parse_compress(self) -> exp.CompressColumnConstraint:
if self._match(TokenType.L_PAREN, advance=False):
return self.expression(
exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise)
)
return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise())
def _parse_generated_as_identity(self) -> exp.GeneratedAsIdentityColumnConstraint:
if self._match_text_seq("BY", "DEFAULT"):
on_null = self._match_pair(TokenType.ON, TokenType.NULL)
this = self.expression(
exp.GeneratedAsIdentityColumnConstraint, this=False, on_null=on_null
)
else:
self._match_text_seq("ALWAYS")
this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True)
self._match(TokenType.ALIAS)
identity = self._match_text_seq("IDENTITY")
if self._match(TokenType.L_PAREN):
if self._match_text_seq("START", "WITH"):
this.set("start", self._parse_bitwise())
if self._match_text_seq("INCREMENT", "BY"):
this.set("increment", self._parse_bitwise())
if self._match_text_seq("MINVALUE"):
this.set("minvalue", self._parse_bitwise())
if self._match_text_seq("MAXVALUE"):
this.set("maxvalue", self._parse_bitwise())
if self._match_text_seq("CYCLE"):
this.set("cycle", True)
elif self._match_text_seq("NO", "CYCLE"):
this.set("cycle", False)
if not identity:
this.set("expression", self._parse_bitwise())
self._match_r_paren()
return this
def _parse_inline(self) -> exp.InlineLengthColumnConstraint:
self._match_text_seq("LENGTH")
return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise())
def _parse_not_constraint(
self,
) -> t.Optional[exp.NotNullColumnConstraint | exp.CaseSpecificColumnConstraint]:
if self._match_text_seq("NULL"):
return self.expression(exp.NotNullColumnConstraint)
if self._match_text_seq("CASESPECIFIC"):
return self.expression(exp.CaseSpecificColumnConstraint, not_=True)
return None
def _parse_column_constraint(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.CONSTRAINT):
this = self._parse_id_var()
else:
this = None
if self._match_texts(self.CONSTRAINT_PARSERS):
return self.expression(
exp.ColumnConstraint,
this=this,
kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self),
)
return this
def _parse_constraint(self) -> t.Optional[exp.Expression]:
if not self._match(TokenType.CONSTRAINT):
return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS)
this = self._parse_id_var()
expressions = []
while True:
constraint = self._parse_unnamed_constraint() or self._parse_function()
if not constraint:
break
expressions.append(constraint)
return self.expression(exp.Constraint, this=this, expressions=expressions)
def _parse_unnamed_constraint(
self, constraints: t.Optional[t.Collection[str]] = None
) -> t.Optional[exp.Expression]:
if not self._match_texts(constraints or self.CONSTRAINT_PARSERS):
return None
constraint = self._prev.text.upper()
if constraint not in self.CONSTRAINT_PARSERS:
self.raise_error(f"No parser found for schema constraint {constraint}.")
return self.CONSTRAINT_PARSERS[constraint](self)
def _parse_unique(self) -> exp.UniqueColumnConstraint:
self._match_text_seq("KEY")
return self.expression(
exp.UniqueColumnConstraint, this=self._parse_schema(self._parse_id_var(any_token=False))
)
def _parse_key_constraint_options(self) -> t.List[str]:
options = []
while True:
if not self._curr:
break
if self._match(TokenType.ON):
action = None
on = self._advance_any() and self._prev.text
if self._match_text_seq("NO", "ACTION"):
action = "NO ACTION"
elif self._match_text_seq("CASCADE"):
action = "CASCADE"
elif self._match_pair(TokenType.SET, TokenType.NULL):
action = "SET NULL"
elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
action = "SET DEFAULT"
else:
self.raise_error("Invalid key constraint")
options.append(f"ON {on} {action}")
elif self._match_text_seq("NOT", "ENFORCED"):
options.append("NOT ENFORCED")
elif self._match_text_seq("DEFERRABLE"):
options.append("DEFERRABLE")
elif self._match_text_seq("INITIALLY", "DEFERRED"):
options.append("INITIALLY DEFERRED")
elif self._match_text_seq("NORELY"):
options.append("NORELY")
elif self._match_text_seq("MATCH", "FULL"):
options.append("MATCH FULL")
else:
break
return options
def _parse_references(self, match: bool = True) -> t.Optional[exp.Reference]:
if match and not self._match(TokenType.REFERENCES):
return None
expressions = None
this = self._parse_table(schema=True)
options = self._parse_key_constraint_options()
return self.expression(exp.Reference, this=this, expressions=expressions, options=options)
def _parse_foreign_key(self) -> exp.ForeignKey:
expressions = self._parse_wrapped_id_vars()
reference = self._parse_references()
options = {}
while self._match(TokenType.ON):
if not self._match_set((TokenType.DELETE, TokenType.UPDATE)):
self.raise_error("Expected DELETE or UPDATE")
kind = self._prev.text.lower()
if self._match_text_seq("NO", "ACTION"):
action = "NO ACTION"
elif self._match(TokenType.SET):
self._match_set((TokenType.NULL, TokenType.DEFAULT))
action = "SET " + self._prev.text.upper()
else:
self._advance()
action = self._prev.text.upper()
options[kind] = action
return self.expression(
exp.ForeignKey, expressions=expressions, reference=reference, **options # type: ignore
)
def _parse_primary_key(
self, wrapped_optional: bool = False, in_props: bool = False
) -> exp.PrimaryKeyColumnConstraint | exp.PrimaryKey:
desc = (
self._match_set((TokenType.ASC, TokenType.DESC))
and self._prev.token_type == TokenType.DESC
)
if not in_props and not self._match(TokenType.L_PAREN, advance=False):
return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc)
expressions = self._parse_wrapped_csv(self._parse_field, optional=wrapped_optional)
options = self._parse_key_constraint_options()
return self.expression(exp.PrimaryKey, expressions=expressions, options=options)
def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)):
return this
bracket_kind = self._prev.token_type
if self._match(TokenType.COLON):
expressions: t.List[t.Optional[exp.Expression]] = [
self.expression(exp.Slice, expression=self._parse_conjunction())
]
else:
expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction()))
# https://duckdb.org/docs/sql/data_types/struct.html#creating-structs
if bracket_kind == TokenType.L_BRACE:
this = self.expression(exp.Struct, expressions=expressions)
elif not this or this.name.upper() == "ARRAY":
this = self.expression(exp.Array, expressions=expressions)
else:
expressions = apply_index_offset(this, expressions, -self.INDEX_OFFSET)
this = self.expression(exp.Bracket, this=this, expressions=expressions)
if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET:
self.raise_error("Expected ]")
elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE:
self.raise_error("Expected }")
self._add_comments(this)
return self._parse_bracket(this)
def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
if self._match(TokenType.COLON):
return self.expression(exp.Slice, this=this, expression=self._parse_conjunction())
return this
def _parse_case(self) -> t.Optional[exp.Expression]:
ifs = []
default = None
expression = self._parse_conjunction()
while self._match(TokenType.WHEN):
this = self._parse_conjunction()
self._match(TokenType.THEN)
then = self._parse_conjunction()
ifs.append(self.expression(exp.If, this=this, true=then))
if self._match(TokenType.ELSE):
default = self._parse_conjunction()
if not self._match(TokenType.END):
self.raise_error("Expected END after CASE", self._prev)
return self._parse_window(
self.expression(exp.Case, this=expression, ifs=ifs, default=default)
)
def _parse_if(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.L_PAREN):
args = self._parse_csv(self._parse_conjunction)
this = self.validate_expression(exp.If.from_arg_list(args), args)
self._match_r_paren()
else:
index = self._index - 1
condition = self._parse_conjunction()
if not condition:
self._retreat(index)
return None
self._match(TokenType.THEN)
true = self._parse_conjunction()
false = self._parse_conjunction() if self._match(TokenType.ELSE) else None
self._match(TokenType.END)
this = self.expression(exp.If, this=condition, true=true, false=false)
return self._parse_window(this)
def _parse_extract(self) -> exp.Extract:
this = self._parse_function() or self._parse_var() or self._parse_type()
if self._match(TokenType.FROM):
return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
if not self._match(TokenType.COMMA):
self.raise_error("Expected FROM or comma after EXTRACT", self._prev)
return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
def _parse_any_value(self) -> exp.AnyValue:
this = self._parse_lambda()
is_max = None
having = None
if self._match(TokenType.HAVING):
self._match_texts(("MAX", "MIN"))
is_max = self._prev.text == "MAX"
having = self._parse_column()
return self.expression(exp.AnyValue, this=this, having=having, max=is_max)
def _parse_cast(self, strict: bool) -> exp.Expression:
this = self._parse_conjunction()
if not self._match(TokenType.ALIAS):
if self._match(TokenType.COMMA):
return self.expression(
exp.CastToStrType, this=this, expression=self._parse_string()
)
else:
self.raise_error("Expected AS after CAST")
fmt = None
to = self._parse_types()
if not to:
self.raise_error("Expected TYPE after CAST")
elif to.this == exp.DataType.Type.CHAR:
if self._match(TokenType.CHARACTER_SET):
to = self.expression(exp.CharacterSet, this=self._parse_var_or_string())
elif self._match(TokenType.FORMAT):
fmt_string = self._parse_string()
fmt = self._parse_at_time_zone(fmt_string)
if to.this in exp.DataType.TEMPORAL_TYPES:
this = self.expression(
exp.StrToDate if to.this == exp.DataType.Type.DATE else exp.StrToTime,
this=this,
format=exp.Literal.string(
format_time(
fmt_string.this if fmt_string else "",
self.FORMAT_MAPPING or self.TIME_MAPPING,
self.FORMAT_TRIE or self.TIME_TRIE,
)
),
)
if isinstance(fmt, exp.AtTimeZone) and isinstance(this, exp.StrToTime):
this.set("zone", fmt.args["zone"])
return this
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to, format=fmt)
def _parse_concat(self) -> t.Optional[exp.Expression]:
args = self._parse_csv(self._parse_conjunction)
if self.CONCAT_NULL_OUTPUTS_STRING:
args = [
exp.func("COALESCE", exp.cast(arg, "text"), exp.Literal.string(""))
for arg in args
if arg
]
# Some dialects (e.g. Trino) don't allow a single-argument CONCAT call, so when
# we find such a call we replace it with its argument.
if len(args) == 1:
return args[0]
return self.expression(
exp.Concat if self.STRICT_STRING_CONCAT else exp.SafeConcat, expressions=args
)
def _parse_string_agg(self) -> exp.Expression:
if self._match(TokenType.DISTINCT):
args: t.List[t.Optional[exp.Expression]] = [
self.expression(exp.Distinct, expressions=[self._parse_conjunction()])
]
if self._match(TokenType.COMMA):
args.extend(self._parse_csv(self._parse_conjunction))
else:
args = self._parse_csv(self._parse_conjunction)
index = self._index
if not self._match(TokenType.R_PAREN):
# postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]])
return self.expression(
exp.GroupConcat,
this=seq_get(args, 0),
separator=self._parse_order(this=seq_get(args, 1)),
)
# Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]).
# This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that
# the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them.
if not self._match_text_seq("WITHIN", "GROUP"):
self._retreat(index)
return self.validate_expression(exp.GroupConcat.from_arg_list(args), args)
self._match_l_paren() # The corresponding match_r_paren will be called in parse_function (caller)
order = self._parse_order(this=seq_get(args, 0))
return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
this = self._parse_bitwise()
if self._match(TokenType.USING):
to: t.Optional[exp.Expression] = self.expression(
exp.CharacterSet, this=self._parse_var()
)
elif self._match(TokenType.COMMA):
to = self._parse_types()
else:
to = None
return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
def _parse_decode(self) -> t.Optional[exp.Decode | exp.Case]:
"""
There are generally two variants of the DECODE function:
- DECODE(bin, charset)
- DECODE(expression, search, result [, search, result] ... [, default])
The second variant will always be parsed into a CASE expression. Note that NULL
needs special treatment, since we need to explicitly check for it with `IS NULL`,
instead of relying on pattern matching.
"""
args = self._parse_csv(self._parse_conjunction)
if len(args) < 3:
return self.expression(exp.Decode, this=seq_get(args, 0), charset=seq_get(args, 1))
expression, *expressions = args
if not expression:
return None
ifs = []
for search, result in zip(expressions[::2], expressions[1::2]):
if not search or not result:
return None
if isinstance(search, exp.Literal):
ifs.append(
exp.If(this=exp.EQ(this=expression.copy(), expression=search), true=result)
)
elif isinstance(search, exp.Null):
ifs.append(
exp.If(this=exp.Is(this=expression.copy(), expression=exp.Null()), true=result)
)
else:
cond = exp.or_(
exp.EQ(this=expression.copy(), expression=search),
exp.and_(
exp.Is(this=expression.copy(), expression=exp.Null()),
exp.Is(this=search.copy(), expression=exp.Null()),
copy=False,
),
copy=False,
)
ifs.append(exp.If(this=cond, true=result))
return exp.Case(ifs=ifs, default=expressions[-1] if len(expressions) % 2 == 1 else None)
def _parse_json_key_value(self) -> t.Optional[exp.JSONKeyValue]:
self._match_text_seq("KEY")
key = self._parse_field()
self._match(TokenType.COLON)
self._match_text_seq("VALUE")
value = self._parse_field()
if not key and not value:
return None
return self.expression(exp.JSONKeyValue, this=key, expression=value)
def _parse_json_object(self) -> exp.JSONObject:
star = self._parse_star()
expressions = [star] if star else self._parse_csv(self._parse_json_key_value)
null_handling = None
if self._match_text_seq("NULL", "ON", "NULL"):
null_handling = "NULL ON NULL"
elif self._match_text_seq("ABSENT", "ON", "NULL"):
null_handling = "ABSENT ON NULL"
unique_keys = None
if self._match_text_seq("WITH", "UNIQUE"):
unique_keys = True
elif self._match_text_seq("WITHOUT", "UNIQUE"):
unique_keys = False
self._match_text_seq("KEYS")
return_type = self._match_text_seq("RETURNING") and self._parse_type()
format_json = self._match_text_seq("FORMAT", "JSON")
encoding = self._match_text_seq("ENCODING") and self._parse_var()
return self.expression(
exp.JSONObject,
expressions=expressions,
null_handling=null_handling,
unique_keys=unique_keys,
return_type=return_type,
format_json=format_json,
encoding=encoding,
)
def _parse_logarithm(self) -> exp.Func:
# Default argument order is base, expression
args = self._parse_csv(self._parse_range)
if len(args) > 1:
if not self.LOG_BASE_FIRST:
args.reverse()
return exp.Log.from_arg_list(args)
return self.expression(
exp.Ln if self.LOG_DEFAULTS_TO_LN else exp.Log, this=seq_get(args, 0)
)
def _parse_match_against(self) -> exp.MatchAgainst:
expressions = self._parse_csv(self._parse_column)
self._match_text_seq(")", "AGAINST", "(")
this = self._parse_string()
if self._match_text_seq("IN", "NATURAL", "LANGUAGE", "MODE"):
modifier = "IN NATURAL LANGUAGE MODE"
if self._match_text_seq("WITH", "QUERY", "EXPANSION"):
modifier = f"{modifier} WITH QUERY EXPANSION"
elif self._match_text_seq("IN", "BOOLEAN", "MODE"):
modifier = "IN BOOLEAN MODE"
elif self._match_text_seq("WITH", "QUERY", "EXPANSION"):
modifier = "WITH QUERY EXPANSION"
else:
modifier = None
return self.expression(
exp.MatchAgainst, this=this, expressions=expressions, modifier=modifier
)
# https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver16
def _parse_open_json(self) -> exp.OpenJSON:
this = self._parse_bitwise()
path = self._match(TokenType.COMMA) and self._parse_string()
def _parse_open_json_column_def() -> exp.OpenJSONColumnDef:
this = self._parse_field(any_token=True)
kind = self._parse_types()
path = self._parse_string()
as_json = self._match_pair(TokenType.ALIAS, TokenType.JSON)
return self.expression(
exp.OpenJSONColumnDef, this=this, kind=kind, path=path, as_json=as_json
)
expressions = None
if self._match_pair(TokenType.R_PAREN, TokenType.WITH):
self._match_l_paren()
expressions = self._parse_csv(_parse_open_json_column_def)
return self.expression(exp.OpenJSON, this=this, path=path, expressions=expressions)
def _parse_position(self, haystack_first: bool = False) -> exp.StrPosition:
args = self._parse_csv(self._parse_bitwise)
if self._match(TokenType.IN):
return self.expression(
exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0)
)
if haystack_first:
haystack = seq_get(args, 0)
needle = seq_get(args, 1)
else:
needle = seq_get(args, 0)
haystack = seq_get(args, 1)
return self.expression(
exp.StrPosition, this=haystack, substr=needle, position=seq_get(args, 2)
)
def _parse_join_hint(self, func_name: str) -> exp.JoinHint:
args = self._parse_csv(self._parse_table)
return exp.JoinHint(this=func_name.upper(), expressions=args)
def _parse_substring(self) -> exp.Substring:
# Postgres supports the form: substring(string [from int] [for int])
# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6
args = self._parse_csv(self._parse_bitwise)
if self._match(TokenType.FROM):
args.append(self._parse_bitwise())
if self._match(TokenType.FOR):
args.append(self._parse_bitwise())
return self.validate_expression(exp.Substring.from_arg_list(args), args)
def _parse_trim(self) -> exp.Trim:
# https://www.w3resource.com/sql/character-functions/trim.php
# https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html
position = None
collation = None
if self._match_texts(self.TRIM_TYPES):
position = self._prev.text.upper()
expression = self._parse_bitwise()
if self._match_set((TokenType.FROM, TokenType.COMMA)):
this = self._parse_bitwise()
else:
this = expression
expression = None
if self._match(TokenType.COLLATE):
collation = self._parse_bitwise()
return self.expression(
exp.Trim, this=this, position=position, expression=expression, collation=collation
)
def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window)
def _parse_named_window(self) -> t.Optional[exp.Expression]:
return self._parse_window(self._parse_id_var(), alias=True)
def _parse_respect_or_ignore_nulls(
self, this: t.Optional[exp.Expression]
) -> t.Optional[exp.Expression]:
if self._match_text_seq("IGNORE", "NULLS"):
return self.expression(exp.IgnoreNulls, this=this)
if self._match_text_seq("RESPECT", "NULLS"):
return self.expression(exp.RespectNulls, this=this)
return this
def _parse_window(
self, this: t.Optional[exp.Expression], alias: bool = False
) -> t.Optional[exp.Expression]:
if self._match_pair(TokenType.FILTER, TokenType.L_PAREN):
self._match(TokenType.WHERE)
this = self.expression(
exp.Filter, this=this, expression=self._parse_where(skip_where_token=True)
)
self._match_r_paren()
# T-SQL allows the OVER (...) syntax after WITHIN GROUP.
# https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16
if self._match_text_seq("WITHIN", "GROUP"):
order = self._parse_wrapped(self._parse_order)
this = self.expression(exp.WithinGroup, this=this, expression=order)
# SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER
# Some dialects choose to implement and some do not.
# https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html
# There is some code above in _parse_lambda that handles
# SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ...
# The below changes handle
# SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ...
# Oracle allows both formats
# (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html)
# and Snowflake chose to do the same for familiarity
# https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes
this = self._parse_respect_or_ignore_nulls(this)
# bigquery select from window x AS (partition by ...)
if alias:
over = None
self._match(TokenType.ALIAS)
elif not self._match_set(self.WINDOW_BEFORE_PAREN_TOKENS):
return this
else:
over = self._prev.text.upper()
if not self._match(TokenType.L_PAREN):
return self.expression(
exp.Window, this=this, alias=self._parse_id_var(False), over=over
)
window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS)
first = self._match(TokenType.FIRST)
if self._match_text_seq("LAST"):
first = False
partition = self._parse_partition_by()
order = self._parse_order()
kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text
if kind:
self._match(TokenType.BETWEEN)
start = self._parse_window_spec()
self._match(TokenType.AND)
end = self._parse_window_spec()
spec = self.expression(
exp.WindowSpec,
kind=kind,
start=start["value"],
start_side=start["side"],
end=end["value"],
end_side=end["side"],
)
else:
spec = None
self._match_r_paren()
return self.expression(
exp.Window,
this=this,
partition_by=partition,
order=order,
spec=spec,
alias=window_alias,
over=over,
first=first,
)
def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]:
self._match(TokenType.BETWEEN)
return {
"value": (
(self._match_text_seq("UNBOUNDED") and "UNBOUNDED")
or (self._match_text_seq("CURRENT", "ROW") and "CURRENT ROW")
or self._parse_bitwise()
),
"side": self._match_texts(self.WINDOW_SIDES) and self._prev.text,
}
def _parse_alias(
self, this: t.Optional[exp.Expression], explicit: bool = False
) -> t.Optional[exp.Expression]:
any_token = self._match(TokenType.ALIAS)
if explicit and not any_token:
return this
if self._match(TokenType.L_PAREN):
aliases = self.expression(
exp.Aliases,
this=this,
expressions=self._parse_csv(lambda: self._parse_id_var(any_token)),
)
self._match_r_paren(aliases)
return aliases
alias = self._parse_id_var(any_token)
if alias:
return self.expression(exp.Alias, this=this, alias=alias)
return this
def _parse_id_var(
self,
any_token: bool = True,
tokens: t.Optional[t.Collection[TokenType]] = None,
) -> t.Optional[exp.Expression]:
identifier = self._parse_identifier()
if identifier:
return identifier
if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS):
quoted = self._prev.token_type == TokenType.STRING
return exp.Identifier(this=self._prev.text, quoted=quoted)
return None
def _parse_string(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.STRING):
return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev)
return self._parse_placeholder()
def _parse_string_as_identifier(self) -> t.Optional[exp.Identifier]:
return exp.to_identifier(self._match(TokenType.STRING) and self._prev.text, quoted=True)
def _parse_number(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.NUMBER):
return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev)
return self._parse_placeholder()
def _parse_identifier(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.IDENTIFIER):
return self.expression(exp.Identifier, this=self._prev.text, quoted=True)
return self._parse_placeholder()
def _parse_var(
self, any_token: bool = False, tokens: t.Optional[t.Collection[TokenType]] = None
) -> t.Optional[exp.Expression]:
if (
(any_token and self._advance_any())
or self._match(TokenType.VAR)
or (self._match_set(tokens) if tokens else False)
):
return self.expression(exp.Var, this=self._prev.text)
return self._parse_placeholder()
def _advance_any(self) -> t.Optional[Token]:
if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS:
self._advance()
return self._prev
return None
def _parse_var_or_string(self) -> t.Optional[exp.Expression]:
return self._parse_var() or self._parse_string()
def _parse_null(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.NULL):
return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev)
return None
def _parse_boolean(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.TRUE):
return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev)
if self._match(TokenType.FALSE):
return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev)
return None
def _parse_star(self) -> t.Optional[exp.Expression]:
if self._match(TokenType.STAR):
return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev)
return None
def _parse_parameter(self) -> exp.Parameter:
wrapped = self._match(TokenType.L_BRACE)
this = self._parse_var() or self._parse_identifier() or self._parse_primary()
self._match(TokenType.R_BRACE)
return self.expression(exp.Parameter, this=this, wrapped=wrapped)
def _parse_placeholder(self) -> t.Optional[exp.Expression]:
if self._match_set(self.PLACEHOLDER_PARSERS):
placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self)
if placeholder:
return placeholder
self._advance(-1)
return None
def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
if not self._match(TokenType.EXCEPT):
return None
if self._match(TokenType.L_PAREN, advance=False):
return self._parse_wrapped_csv(self._parse_column)
return self._parse_csv(self._parse_column)
def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
if not self._match(TokenType.REPLACE):
return None
if self._match(TokenType.L_PAREN, advance=False):
return self._parse_wrapped_csv(self._parse_expression)
return self._parse_expressions()
def _parse_csv(
self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA
) -> t.List[t.Optional[exp.Expression]]:
parse_result = parse_method()
items = [parse_result] if parse_result is not None else []
while self._match(sep):
self._add_comments(parse_result)
parse_result = parse_method()
if parse_result is not None:
items.append(parse_result)
return items
def _parse_tokens(
self, parse_method: t.Callable, expressions: t.Dict
) -> t.Optional[exp.Expression]:
this = parse_method()
while self._match_set(expressions):
this = self.expression(
expressions[self._prev.token_type],
this=this,
comments=self._prev_comments,
expression=parse_method(),
)
return this
def _parse_wrapped_id_vars(self, optional: bool = False) -> t.List[t.Optional[exp.Expression]]:
return self._parse_wrapped_csv(self._parse_id_var, optional=optional)
def _parse_wrapped_csv(
self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA, optional: bool = False
) -> t.List[t.Optional[exp.Expression]]:
return self._parse_wrapped(
lambda: self._parse_csv(parse_method, sep=sep), optional=optional
)
def _parse_wrapped(self, parse_method: t.Callable, optional: bool = False) -> t.Any:
wrapped = self._match(TokenType.L_PAREN)
if not wrapped and not optional:
self.raise_error("Expecting (")
parse_result = parse_method()
if wrapped:
self._match_r_paren()
return parse_result
def _parse_expressions(self) -> t.List[t.Optional[exp.Expression]]:
return self._parse_csv(self._parse_expression)
def _parse_select_or_expression(self, alias: bool = False) -> t.Optional[exp.Expression]:
return self._parse_select() or self._parse_set_operations(
self._parse_expression() if alias else self._parse_conjunction()
)
def _parse_ddl_select(self) -> t.Optional[exp.Expression]:
return self._parse_query_modifiers(
self._parse_set_operations(self._parse_select(nested=True, parse_subquery_alias=False))
)
def _parse_transaction(self) -> exp.Transaction | exp.Command:
this = None
if self._match_texts(self.TRANSACTION_KIND):
this = self._prev.text
self._match_texts({"TRANSACTION", "WORK"})
modes = []
while True:
mode = []
while self._match(TokenType.VAR):
mode.append(self._prev.text)
if mode:
modes.append(" ".join(mode))
if not self._match(TokenType.COMMA):
break
return self.expression(exp.Transaction, this=this, modes=modes)
def _parse_commit_or_rollback(self) -> exp.Commit | exp.Rollback:
chain = None
savepoint = None
is_rollback = self._prev.token_type == TokenType.ROLLBACK
self._match_texts({"TRANSACTION", "WORK"})
if self._match_text_seq("TO"):
self._match_text_seq("SAVEPOINT")
savepoint = self._parse_id_var()
if self._match(TokenType.AND):
chain = not self._match_text_seq("NO")
self._match_text_seq("CHAIN")
if is_rollback:
return self.expression(exp.Rollback, savepoint=savepoint)
return self.expression(exp.Commit, chain=chain)
def _parse_add_column(self) -> t.Optional[exp.Expression]:
if not self._match_text_seq("ADD"):
return None
self._match(TokenType.COLUMN)
exists_column = self._parse_exists(not_=True)
expression = self._parse_column_def(self._parse_field(any_token=True))
if expression:
expression.set("exists", exists_column)
# https://docs.databricks.com/delta/update-schema.html#explicitly-update-schema-to-add-columns
if self._match_texts(("FIRST", "AFTER")):
position = self._prev.text
column_position = self.expression(
exp.ColumnPosition, this=self._parse_column(), position=position
)
expression.set("position", column_position)
return expression
def _parse_drop_column(self) -> t.Optional[exp.Drop | exp.Command]:
drop = self._match(TokenType.DROP) and self._parse_drop()
if drop and not isinstance(drop, exp.Command):
drop.set("kind", drop.args.get("kind", "COLUMN"))
return drop
# https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html
def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.DropPartition:
return self.expression(
exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists
)
def _parse_add_constraint(self) -> exp.AddConstraint:
this = None
kind = self._prev.token_type
if kind == TokenType.CONSTRAINT:
this = self._parse_id_var()
if self._match_text_seq("CHECK"):
expression = self._parse_wrapped(self._parse_conjunction)
enforced = self._match_text_seq("ENFORCED")
return self.expression(
exp.AddConstraint, this=this, expression=expression, enforced=enforced
)
if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY):
expression = self._parse_foreign_key()
elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY):
expression = self._parse_primary_key()
else:
expression = None
return self.expression(exp.AddConstraint, this=this, expression=expression)
def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
index = self._index - 1
if self._match_set(self.ADD_CONSTRAINT_TOKENS):
return self._parse_csv(self._parse_add_constraint)
self._retreat(index)
return self._parse_csv(self._parse_add_column)
def _parse_alter_table_alter(self) -> exp.AlterColumn:
self._match(TokenType.COLUMN)
column = self._parse_field(any_token=True)
if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
return self.expression(exp.AlterColumn, this=column, drop=True)
if self._match_pair(TokenType.SET, TokenType.DEFAULT):
return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
self._match_text_seq("SET", "DATA")
return self.expression(
exp.AlterColumn,
this=column,
dtype=self._match_text_seq("TYPE") and self._parse_types(),
collate=self._match(TokenType.COLLATE) and self._parse_term(),
using=self._match(TokenType.USING) and self._parse_conjunction(),
)
def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
index = self._index - 1
partition_exists = self._parse_exists()
if self._match(TokenType.PARTITION, advance=False):
return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
self._retreat(index)
return self._parse_csv(self._parse_drop_column)
def _parse_alter_table_rename(self) -> exp.RenameTable:
self._match_text_seq("TO")
return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
def _parse_alter(self) -> exp.AlterTable | exp.Command:
start = self._prev
if not self._match(TokenType.TABLE):
return self._parse_as_command(start)
exists = self._parse_exists()
this = self._parse_table(schema=True)
if self._next:
self._advance()
parser = self.ALTER_PARSERS.get(self._prev.text.upper()) if self._prev else None
if parser:
actions = ensure_list(parser(self))
if not self._curr:
return self.expression(
exp.AlterTable,
this=this,
exists=exists,
actions=actions,
)
return self._parse_as_command(start)
def _parse_merge(self) -> exp.Merge:
self._match(TokenType.INTO)
target = self._parse_table()
self._match(TokenType.USING)
using = self._parse_table()
self._match(TokenType.ON)
on = self._parse_conjunction()
whens = []
while self._match(TokenType.WHEN):
matched = not self._match(TokenType.NOT)
self._match_text_seq("MATCHED")
source = (
False
if self._match_text_seq("BY", "TARGET")
else self._match_text_seq("BY", "SOURCE")
)
condition = self._parse_conjunction() if self._match(TokenType.AND) else None
self._match(TokenType.THEN)
if self._match(TokenType.INSERT):
_this = self._parse_star()
if _this:
then: t.Optional[exp.Expression] = self.expression(exp.Insert, this=_this)
else:
then = self.expression(
exp.Insert,
this=self._parse_value(),
expression=self._match(TokenType.VALUES) and self._parse_value(),
)
elif self._match(TokenType.UPDATE):
expressions = self._parse_star()
if expressions:
then = self.expression(exp.Update, expressions=expressions)
else:
then = self.expression(
exp.Update,
expressions=self._match(TokenType.SET)
and self._parse_csv(self._parse_equality),
)
elif self._match(TokenType.DELETE):
then = self.expression(exp.Var, this=self._prev.text)
else:
then = None
whens.append(
self.expression(
exp.When,
matched=matched,
source=source,
condition=condition,
then=then,
)
)
return self.expression(
exp.Merge,
this=target,
using=using,
on=on,
expressions=whens,
)
def _parse_show(self) -> t.Optional[exp.Expression]:
parser = self._find_parser(self.SHOW_PARSERS, self.SHOW_TRIE)
if parser:
return parser(self)
self._advance()
return self.expression(exp.Show, this=self._prev.text.upper())
def _parse_set_item_assignment(
self, kind: t.Optional[str] = None
) -> t.Optional[exp.Expression]:
index = self._index
if kind in {"GLOBAL", "SESSION"} and self._match_text_seq("TRANSACTION"):
return self._parse_set_transaction(global_=kind == "GLOBAL")
left = self._parse_primary() or self._parse_id_var()
if not self._match_texts(("=", "TO")):
self._retreat(index)
return None
right = self._parse_statement() or self._parse_id_var()
this = self.expression(exp.EQ, this=left, expression=right)
return self.expression(exp.SetItem, this=this, kind=kind)
def _parse_set_transaction(self, global_: bool = False) -> exp.Expression:
self._match_text_seq("TRANSACTION")
characteristics = self._parse_csv(
lambda: self._parse_var_from_options(self.TRANSACTION_CHARACTERISTICS)
)
return self.expression(
exp.SetItem,
expressions=characteristics,
kind="TRANSACTION",
**{"global": global_}, # type: ignore
)
def _parse_set_item(self) -> t.Optional[exp.Expression]:
parser = self._find_parser(self.SET_PARSERS, self.SET_TRIE)
return parser(self) if parser else self._parse_set_item_assignment(kind=None)
def _parse_set(self, unset: bool = False, tag: bool = False) -> exp.Set | exp.Command:
index = self._index
set_ = self.expression(
exp.Set, expressions=self._parse_csv(self._parse_set_item), unset=unset, tag=tag
)
if self._curr:
self._retreat(index)
return self._parse_as_command(self._prev)
return set_
def _parse_var_from_options(self, options: t.Collection[str]) -> t.Optional[exp.Var]:
for option in options:
if self._match_text_seq(*option.split(" ")):
return exp.var(option)
return None
def _parse_as_command(self, start: Token) -> exp.Command:
while self._curr:
self._advance()
text = self._find_sql(start, self._prev)
size = len(start.text)
return exp.Command(this=text[:size], expression=text[size:])
def _parse_dict_property(self, this: str) -> exp.DictProperty:
settings = []
self._match_l_paren()
kind = self._parse_id_var()
if self._match(TokenType.L_PAREN):
while True:
key = self._parse_id_var()
value = self._parse_primary()
if not key and value is None:
break
settings.append(self.expression(exp.DictSubProperty, this=key, value=value))
self._match(TokenType.R_PAREN)
self._match_r_paren()
return self.expression(
exp.DictProperty,
this=this,
kind=kind.this if kind else None,
settings=settings,
)
def _parse_dict_range(self, this: str) -> exp.DictRange:
self._match_l_paren()
has_min = self._match_text_seq("MIN")
if has_min:
min = self._parse_var() or self._parse_primary()
self._match_text_seq("MAX")
max = self._parse_var() or self._parse_primary()
else:
max = self._parse_var() or self._parse_primary()
min = exp.Literal.number(0)
self._match_r_paren()
return self.expression(exp.DictRange, this=this, min=min, max=max)
def _find_parser(
self, parsers: t.Dict[str, t.Callable], trie: t.Dict
) -> t.Optional[t.Callable]:
if not self._curr:
return None
index = self._index
this = []
while True:
# The current token might be multiple words
curr = self._curr.text.upper()
key = curr.split(" ")
this.append(curr)
self._advance()
result, trie = in_trie(trie, key)
if result == TrieResult.FAILED:
break
if result == TrieResult.EXISTS:
subparser = parsers[" ".join(this)]
return subparser
self._retreat(index)
return None
def _match(self, token_type, advance=True, expression=None):
if not self._curr:
return None
if self._curr.token_type == token_type:
if advance:
self._advance()
self._add_comments(expression)
return True
return None
def _match_set(self, types, advance=True):
if not self._curr:
return None
if self._curr.token_type in types:
if advance:
self._advance()
return True
return None
def _match_pair(self, token_type_a, token_type_b, advance=True):
if not self._curr or not self._next:
return None
if self._curr.token_type == token_type_a and self._next.token_type == token_type_b:
if advance:
self._advance(2)
return True
return None
def _match_l_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
if not self._match(TokenType.L_PAREN, expression=expression):
self.raise_error("Expecting (")
def _match_r_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
if not self._match(TokenType.R_PAREN, expression=expression):
self.raise_error("Expecting )")
def _match_texts(self, texts, advance=True):
if self._curr and self._curr.text.upper() in texts:
if advance:
self._advance()
return True
return False
def _match_text_seq(self, *texts, advance=True):
index = self._index
for text in texts:
if self._curr and self._curr.text.upper() == text:
self._advance()
else:
self._retreat(index)
return False
if not advance:
self._retreat(index)
return True
@t.overload
def _replace_columns_with_dots(self, this: exp.Expression) -> exp.Expression:
...
@t.overload
def _replace_columns_with_dots(
self, this: t.Optional[exp.Expression]
) -> t.Optional[exp.Expression]:
...
def _replace_columns_with_dots(self, this):
if isinstance(this, exp.Dot):
exp.replace_children(this, self._replace_columns_with_dots)
elif isinstance(this, exp.Column):
exp.replace_children(this, self._replace_columns_with_dots)
table = this.args.get("table")
this = (
self.expression(exp.Dot, this=table, expression=this.this) if table else this.this
)
return this
def _replace_lambda(
self, node: t.Optional[exp.Expression], lambda_variables: t.Set[str]
) -> t.Optional[exp.Expression]:
if not node:
return node
for column in node.find_all(exp.Column):
if column.parts[0].name in lambda_variables:
dot_or_id = column.to_dot() if column.table else column.this
parent = column.parent
while isinstance(parent, exp.Dot):
if not isinstance(parent.parent, exp.Dot):
parent.replace(dot_or_id)
break
parent = parent.parent
else:
if column is node:
node = dot_or_id
else:
column.replace(dot_or_id)
return node
|