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# engine/default.py # Copyright (C) 2005-2024 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: https://www.opensource.org/licenses/mit-license.php # mypy: allow-untyped-defs, allow-untyped-calls """Default implementations of per-dialect sqlalchemy.engine classes. These are semi-private implementation classes which are only of importance to database dialect authors; dialects will usually use the classes here as the base class for their own corresponding classes. """ from __future__ import annotations import functools import operator import random import re from time import perf_counter import typing from typing import Any from typing import Callable from typing import cast from typing import Dict from typing import List from typing import Mapping from typing import MutableMapping from typing import MutableSequence from typing import Optional from typing import Sequence from typing import Set from typing import Tuple from typing import Type from typing import TYPE_CHECKING from typing import Union import weakref from . import characteristics from . import cursor as _cursor from . import interfaces from .base import Connection from .interfaces import CacheStats from .interfaces import DBAPICursor from .interfaces import Dialect from .interfaces import ExecuteStyle from .interfaces import ExecutionContext from .reflection import ObjectKind from .reflection import ObjectScope from .. import event from .. import exc from .. import pool from .. import util from ..sql import compiler from ..sql import dml from ..sql import expression from ..sql import type_api from ..sql import util as sql_util from ..sql._typing import is_tuple_type from ..sql.base import _NoArg from ..sql.compiler import DDLCompiler from ..sql.compiler import InsertmanyvaluesSentinelOpts from ..sql.compiler import SQLCompiler from ..sql.elements import quoted_name from ..util.typing import Final from ..util.typing import Literal if typing.TYPE_CHECKING: from types import ModuleType from .base import Engine from .cursor import ResultFetchStrategy from .interfaces import _CoreMultiExecuteParams from .interfaces import _CoreSingleExecuteParams from .interfaces import _DBAPICursorDescription from .interfaces import _DBAPIMultiExecuteParams from .interfaces import _ExecuteOptions from .interfaces import _MutableCoreSingleExecuteParams from .interfaces import _ParamStyle from .interfaces import DBAPIConnection from .interfaces import IsolationLevel from .row import Row from .url import URL from ..event import _ListenerFnType from ..pool import Pool from ..pool import PoolProxiedConnection from ..sql import Executable from ..sql.compiler import Compiled from ..sql.compiler import Linting from ..sql.compiler import ResultColumnsEntry from ..sql.dml import DMLState from ..sql.dml import UpdateBase from ..sql.elements import BindParameter from ..sql.schema import Column from ..sql.type_api import _BindProcessorType from ..sql.type_api import _ResultProcessorType from ..sql.type_api import TypeEngine # When we're handed literal SQL, ensure it's a SELECT query SERVER_SIDE_CURSOR_RE = re.compile(r"\s*SELECT", re.I | re.UNICODE) ( CACHE_HIT, CACHE_MISS, CACHING_DISABLED, NO_CACHE_KEY, NO_DIALECT_SUPPORT, ) = list(CacheStats) class DefaultDialect(Dialect): """Default implementation of Dialect""" statement_compiler = compiler.SQLCompiler ddl_compiler = compiler.DDLCompiler type_compiler_cls = compiler.GenericTypeCompiler preparer = compiler.IdentifierPreparer supports_alter = True supports_comments = False supports_constraint_comments = False inline_comments = False supports_statement_cache = True div_is_floordiv = True bind_typing = interfaces.BindTyping.NONE include_set_input_sizes: Optional[Set[Any]] = None exclude_set_input_sizes: Optional[Set[Any]] = None # the first value we'd get for an autoincrement column. default_sequence_base = 1 # most DBAPIs happy with this for execute(). # not cx_oracle. execute_sequence_format = tuple supports_schemas = True supports_views = True supports_sequences = False sequences_optional = False preexecute_autoincrement_sequences = False supports_identity_columns = False postfetch_lastrowid = True favor_returning_over_lastrowid = False insert_null_pk_still_autoincrements = False update_returning = False delete_returning = False update_returning_multifrom = False delete_returning_multifrom = False insert_returning = False cte_follows_insert = False supports_native_enum = False supports_native_boolean = False supports_native_uuid = False returns_native_bytes = False non_native_boolean_check_constraint = True supports_simple_order_by_label = True tuple_in_values = False connection_characteristics = util.immutabledict( { "isolation_level": characteristics.IsolationLevelCharacteristic(), "logging_token": characteristics.LoggingTokenCharacteristic(), } ) engine_config_types: Mapping[str, Any] = util.immutabledict( { "pool_timeout": util.asint, "echo": util.bool_or_str("debug"), "echo_pool": util.bool_or_str("debug"), "pool_recycle": util.asint, "pool_size": util.asint, "max_overflow": util.asint, "future": util.asbool, } ) # if the NUMERIC type # returns decimal.Decimal. # *not* the FLOAT type however. supports_native_decimal = False name = "default" # length at which to truncate # any identifier. max_identifier_length = 9999 _user_defined_max_identifier_length: Optional[int] = None isolation_level: Optional[str] = None # sub-categories of max_identifier_length. # currently these accommodate for MySQL which allows alias names # of 255 but DDL names only of 64. max_index_name_length: Optional[int] = None max_constraint_name_length: Optional[int] = None supports_sane_rowcount = True supports_sane_multi_rowcount = True colspecs: MutableMapping[Type[TypeEngine[Any]], Type[TypeEngine[Any]]] = {} default_paramstyle = "named" supports_default_values = False """dialect supports INSERT... DEFAULT VALUES syntax""" supports_default_metavalue = False """dialect supports INSERT... VALUES (DEFAULT) syntax""" default_metavalue_token = "DEFAULT" """for INSERT... VALUES (DEFAULT) syntax, the token to put in the parenthesis.""" # not sure if this is a real thing but the compiler will deliver it # if this is the only flag enabled. supports_empty_insert = True """dialect supports INSERT () VALUES ()""" supports_multivalues_insert = False use_insertmanyvalues: bool = False use_insertmanyvalues_wo_returning: bool = False insertmanyvalues_implicit_sentinel: InsertmanyvaluesSentinelOpts = ( InsertmanyvaluesSentinelOpts.NOT_SUPPORTED ) insertmanyvalues_page_size: int = 1000 insertmanyvalues_max_parameters = 32700 supports_is_distinct_from = True supports_server_side_cursors = False server_side_cursors = False # extra record-level locking features (#4860) supports_for_update_of = False server_version_info = None default_schema_name: Optional[str] = None # indicates symbol names are # UPPERCASEd if they are case insensitive # within the database. # if this is True, the methods normalize_name() # and denormalize_name() must be provided. requires_name_normalize = False is_async = False has_terminate = False # TODO: this is not to be part of 2.0. implement rudimentary binary # literals for SQLite, PostgreSQL, MySQL only within # _Binary.literal_processor _legacy_binary_type_literal_encoding = "utf-8" @util.deprecated_params( empty_in_strategy=( "1.4", "The :paramref:`_sa.create_engine.empty_in_strategy` keyword is " "deprecated, and no longer has any effect. All IN expressions " "are now rendered using " 'the "expanding parameter" strategy which renders a set of bound' 'expressions, or an "empty set" SELECT, at statement execution' "time.", ), server_side_cursors=( "1.4", "The :paramref:`_sa.create_engine.server_side_cursors` parameter " "is deprecated and will be removed in a future release. Please " "use the " ":paramref:`_engine.Connection.execution_options.stream_results` " "parameter.", ), ) def __init__( self, paramstyle: Optional[_ParamStyle] = None, isolation_level: Optional[IsolationLevel] = None, dbapi: Optional[ModuleType] = None, implicit_returning: Literal[True] = True, supports_native_boolean: Optional[bool] = None, max_identifier_length: Optional[int] = None, label_length: Optional[int] = None, insertmanyvalues_page_size: Union[_NoArg, int] = _NoArg.NO_ARG, use_insertmanyvalues: Optional[bool] = None, # util.deprecated_params decorator cannot render the # Linting.NO_LINTING constant compiler_linting: Linting = int(compiler.NO_LINTING), # type: ignore server_side_cursors: bool = False, **kwargs: Any, ): if server_side_cursors: if not self.supports_server_side_cursors: raise exc.ArgumentError( "Dialect %s does not support server side cursors" % self ) else: self.server_side_cursors = True if getattr(self, "use_setinputsizes", False): util.warn_deprecated( "The dialect-level use_setinputsizes attribute is " "deprecated. Please use " "bind_typing = BindTyping.SETINPUTSIZES", "2.0", ) self.bind_typing = interfaces.BindTyping.SETINPUTSIZES self.positional = False self._ischema = None self.dbapi = dbapi if paramstyle is not None: self.paramstyle = paramstyle elif self.dbapi is not None: self.paramstyle = self.dbapi.paramstyle else: self.paramstyle = self.default_paramstyle self.positional = self.paramstyle in ( "qmark", "format", "numeric", "numeric_dollar", ) self.identifier_preparer = self.preparer(self) self._on_connect_isolation_level = isolation_level legacy_tt_callable = getattr(self, "type_compiler", None) if legacy_tt_callable is not None: tt_callable = cast( Type[compiler.GenericTypeCompiler], self.type_compiler, ) else: tt_callable = self.type_compiler_cls self.type_compiler_instance = self.type_compiler = tt_callable(self) if supports_native_boolean is not None: self.supports_native_boolean = supports_native_boolean self._user_defined_max_identifier_length = max_identifier_length if self._user_defined_max_identifier_length: self.max_identifier_length = ( self._user_defined_max_identifier_length ) self.label_length = label_length self.compiler_linting = compiler_linting if use_insertmanyvalues is not None: self.use_insertmanyvalues = use_insertmanyvalues if insertmanyvalues_page_size is not _NoArg.NO_ARG: self.insertmanyvalues_page_size = insertmanyvalues_page_size @property @util.deprecated( "2.0", "full_returning is deprecated, please use insert_returning, " "update_returning, delete_returning", ) def full_returning(self): return ( self.insert_returning and self.update_returning and self.delete_returning ) @util.memoized_property def insert_executemany_returning(self): """Default implementation for insert_executemany_returning, if not otherwise overridden by the specific dialect. The default dialect determines "insert_executemany_returning" is available if the dialect in use has opted into using the "use_insertmanyvalues" feature. If they haven't opted into that, then this attribute is False, unless the dialect in question overrides this and provides some other implementation (such as the Oracle dialect). """ return self.insert_returning and self.use_insertmanyvalues @util.memoized_property def insert_executemany_returning_sort_by_parameter_order(self): """Default implementation for insert_executemany_returning_deterministic_order, if not otherwise overridden by the specific dialect. The default dialect determines "insert_executemany_returning" can have deterministic order only if the dialect in use has opted into using the "use_insertmanyvalues" feature, which implements deterministic ordering using client side sentinel columns only by default. The "insertmanyvalues" feature also features alternate forms that can use server-generated PK values as "sentinels", but those are only used if the :attr:`.Dialect.insertmanyvalues_implicit_sentinel` bitflag enables those alternate SQL forms, which are disabled by default. If the dialect in use hasn't opted into that, then this attribute is False, unless the dialect in question overrides this and provides some other implementation (such as the Oracle dialect). """ return self.insert_returning and self.use_insertmanyvalues update_executemany_returning = False delete_executemany_returning = False @util.memoized_property def loaded_dbapi(self) -> ModuleType: if self.dbapi is None: raise exc.InvalidRequestError( f"Dialect {self} does not have a Python DBAPI established " "and cannot be used for actual database interaction" ) return self.dbapi @util.memoized_property def _bind_typing_render_casts(self): return self.bind_typing is interfaces.BindTyping.RENDER_CASTS def _ensure_has_table_connection(self, arg): if not isinstance(arg, Connection): raise exc.ArgumentError( "The argument passed to Dialect.has_table() should be a " "%s, got %s. " "Additionally, the Dialect.has_table() method is for " "internal dialect " "use only; please use " "``inspect(some_engine).has_table(<tablename>>)`` " "for public API use." % (Connection, type(arg)) ) @util.memoized_property def _supports_statement_cache(self): ssc = self.__class__.__dict__.get("supports_statement_cache", None) if ssc is None: util.warn( "Dialect %s:%s will not make use of SQL compilation caching " "as it does not set the 'supports_statement_cache' attribute " "to ``True``. This can have " "significant performance implications including some " "performance degradations in comparison to prior SQLAlchemy " "versions. Dialect maintainers should seek to set this " "attribute to True after appropriate development and testing " "for SQLAlchemy 1.4 caching support. Alternatively, this " "attribute may be set to False which will disable this " "warning." % (self.name, self.driver), code="cprf", ) return bool(ssc) @util.memoized_property def _type_memos(self): return weakref.WeakKeyDictionary() @property def dialect_description(self): return self.name + "+" + self.driver @property def supports_sane_rowcount_returning(self): """True if this dialect supports sane rowcount even if RETURNING is in use. For dialects that don't support RETURNING, this is synonymous with ``supports_sane_rowcount``. """ return self.supports_sane_rowcount @classmethod def get_pool_class(cls, url: URL) -> Type[Pool]: return getattr(cls, "poolclass", pool.QueuePool) def get_dialect_pool_class(self, url: URL) -> Type[Pool]: return self.get_pool_class(url) @classmethod def load_provisioning(cls): package = ".".join(cls.__module__.split(".")[0:-1]) try: __import__(package + ".provision") except ImportError: pass def _builtin_onconnect(self) -> Optional[_ListenerFnType]: if self._on_connect_isolation_level is not None: def builtin_connect(dbapi_conn, conn_rec): self._assert_and_set_isolation_level( dbapi_conn, self._on_connect_isolation_level ) return builtin_connect else: return None def initialize(self, connection): try: self.server_version_info = self._get_server_version_info( connection ) except NotImplementedError: self.server_version_info = None try: self.default_schema_name = self._get_default_schema_name( connection ) except NotImplementedError: self.default_schema_name = None try: self.default_isolation_level = self.get_default_isolation_level( connection.connection.dbapi_connection ) except NotImplementedError: self.default_isolation_level = None if not self._user_defined_max_identifier_length: max_ident_length = self._check_max_identifier_length(connection) if max_ident_length: self.max_identifier_length = max_ident_length if ( self.label_length and self.label_length > self.max_identifier_length ): raise exc.ArgumentError( "Label length of %d is greater than this dialect's" " maximum identifier length of %d" % (self.label_length, self.max_identifier_length) ) def on_connect(self): # inherits the docstring from interfaces.Dialect.on_connect return None def _check_max_identifier_length(self, connection): """Perform a connection / server version specific check to determine the max_identifier_length. If the dialect's class level max_identifier_length should be used, can return None. .. versionadded:: 1.3.9 """ return None def get_default_isolation_level(self, dbapi_conn): """Given a DBAPI connection, return its isolation level, or a default isolation level if one cannot be retrieved. May be overridden by subclasses in order to provide a "fallback" isolation level for databases that cannot reliably retrieve the actual isolation level. By default, calls the :meth:`_engine.Interfaces.get_isolation_level` method, propagating any exceptions raised. .. versionadded:: 1.3.22 """ return self.get_isolation_level(dbapi_conn) def type_descriptor(self, typeobj): """Provide a database-specific :class:`.TypeEngine` object, given the generic object which comes from the types module. This method looks for a dictionary called ``colspecs`` as a class or instance-level variable, and passes on to :func:`_types.adapt_type`. """ return type_api.adapt_type(typeobj, self.colspecs) def has_index(self, connection, table_name, index_name, schema=None, **kw): if not self.has_table(connection, table_name, schema=schema, **kw): return False for idx in self.get_indexes( connection, table_name, schema=schema, **kw ): if idx["name"] == index_name: return True else: return False def has_schema( self, connection: Connection, schema_name: str, **kw: Any ) -> bool: return schema_name in self.get_schema_names(connection, **kw) def validate_identifier(self, ident): if len(ident) > self.max_identifier_length: raise exc.IdentifierError( "Identifier '%s' exceeds maximum length of %d characters" % (ident, self.max_identifier_length) ) def connect(self, *cargs, **cparams): # inherits the docstring from interfaces.Dialect.connect return self.loaded_dbapi.connect(*cargs, **cparams) def create_connect_args(self, url): # inherits the docstring from interfaces.Dialect.create_connect_args opts = url.translate_connect_args() opts.update(url.query) return ([], opts) def set_engine_execution_options( self, engine: Engine, opts: Mapping[str, Any] ) -> None: supported_names = set(self.connection_characteristics).intersection( opts ) if supported_names: characteristics: Mapping[str, Any] = util.immutabledict( (name, opts[name]) for name in supported_names ) @event.listens_for(engine, "engine_connect") def set_connection_characteristics(connection): self._set_connection_characteristics( connection, characteristics ) def set_connection_execution_options( self, connection: Connection, opts: Mapping[str, Any] ) -> None: supported_names = set(self.connection_characteristics).intersection( opts ) if supported_names: characteristics: Mapping[str, Any] = util.immutabledict( (name, opts[name]) for name in supported_names ) self._set_connection_characteristics(connection, characteristics) def _set_connection_characteristics(self, connection, characteristics): characteristic_values = [ (name, self.connection_characteristics[name], value) for name, value in characteristics.items() ] if connection.in_transaction(): trans_objs = [ (name, obj) for name, obj, _ in characteristic_values if obj.transactional ] if trans_objs: raise exc.InvalidRequestError( "This connection has already initialized a SQLAlchemy " "Transaction() object via begin() or autobegin; " "%s may not be altered unless rollback() or commit() " "is called first." % (", ".join(name for name, obj in trans_objs)) ) dbapi_connection = connection.connection.dbapi_connection for _, characteristic, value in characteristic_values: characteristic.set_connection_characteristic( self, connection, dbapi_connection, value ) connection.connection._connection_record.finalize_callback.append( functools.partial(self._reset_characteristics, characteristics) ) def _reset_characteristics(self, characteristics, dbapi_connection): for characteristic_name in characteristics: characteristic = self.connection_characteristics[ characteristic_name ] characteristic.reset_characteristic(self, dbapi_connection) def do_begin(self, dbapi_connection): pass def do_rollback(self, dbapi_connection): dbapi_connection.rollback() def do_commit(self, dbapi_connection): dbapi_connection.commit() def do_terminate(self, dbapi_connection): self.do_close(dbapi_connection) def do_close(self, dbapi_connection): dbapi_connection.close() @util.memoized_property def _dialect_specific_select_one(self): return str(expression.select(1).compile(dialect=self)) def _do_ping_w_event(self, dbapi_connection: DBAPIConnection) -> bool: try: return self.do_ping(dbapi_connection) except self.loaded_dbapi.Error as err: is_disconnect = self.is_disconnect(err, dbapi_connection, None) if self._has_events: try: Connection._handle_dbapi_exception_noconnection( err, self, is_disconnect=is_disconnect, invalidate_pool_on_disconnect=False, is_pre_ping=True, ) except exc.StatementError as new_err: is_disconnect = new_err.connection_invalidated if is_disconnect: return False else: raise def do_ping(self, dbapi_connection: DBAPIConnection) -> bool: cursor = None cursor = dbapi_connection.cursor() try: cursor.execute(self._dialect_specific_select_one) finally: cursor.close() return True def create_xid(self): """Create a random two-phase transaction ID. This id will be passed to do_begin_twophase(), do_rollback_twophase(), do_commit_twophase(). Its format is unspecified. """ return "_sa_%032x" % random.randint(0, 2**128) def do_savepoint(self, connection, name): connection.execute(expression.SavepointClause(name)) def do_rollback_to_savepoint(self, connection, name): connection.execute(expression.RollbackToSavepointClause(name)) def do_release_savepoint(self, connection, name): connection.execute(expression.ReleaseSavepointClause(name)) def _deliver_insertmanyvalues_batches( self, connection, cursor, statement, parameters, generic_setinputsizes, context, ): context = cast(DefaultExecutionContext, context) compiled = cast(SQLCompiler, context.compiled) _composite_sentinel_proc: Sequence[ Optional[_ResultProcessorType[Any]] ] = () _scalar_sentinel_proc: Optional[_ResultProcessorType[Any]] = None _sentinel_proc_initialized: bool = False compiled_parameters = context.compiled_parameters imv = compiled._insertmanyvalues assert imv is not None is_returning: Final[bool] = bool(compiled.effective_returning) batch_size = context.execution_options.get( "insertmanyvalues_page_size", self.insertmanyvalues_page_size ) if compiled.schema_translate_map: schema_translate_map = context.execution_options.get( "schema_translate_map", {} ) else: schema_translate_map = None if is_returning: result: Optional[List[Any]] = [] context._insertmanyvalues_rows = result sort_by_parameter_order = imv.sort_by_parameter_order else: sort_by_parameter_order = False result = None for imv_batch in compiled._deliver_insertmanyvalues_batches( statement, parameters, compiled_parameters, generic_setinputsizes, batch_size, sort_by_parameter_order, schema_translate_map, ): yield imv_batch if is_returning: try: rows = context.fetchall_for_returning(cursor) except BaseException as be: connection._handle_dbapi_exception( be, sql_util._long_statement(imv_batch.replaced_statement), imv_batch.replaced_parameters, None, context, is_sub_exec=True, ) # I would have thought "is_returning: Final[bool]" # would have assured this but pylance thinks not assert result is not None if imv.num_sentinel_columns and not imv_batch.is_downgraded: composite_sentinel = imv.num_sentinel_columns > 1 if imv.implicit_sentinel: # for implicit sentinel, which is currently single-col # integer autoincrement, do a simple sort. assert not composite_sentinel result.extend( sorted(rows, key=operator.itemgetter(-1)) ) continue # otherwise, create dictionaries to match up batches # with parameters assert imv.sentinel_param_keys assert imv.sentinel_columns _nsc = imv.num_sentinel_columns if not _sentinel_proc_initialized: if composite_sentinel: _composite_sentinel_proc = [ col.type._cached_result_processor( self, cursor_desc[1] ) for col, cursor_desc in zip( imv.sentinel_columns, cursor.description[-_nsc:], ) ] else: _scalar_sentinel_proc = ( imv.sentinel_columns[0] ).type._cached_result_processor( self, cursor.description[-1][1] ) _sentinel_proc_initialized = True rows_by_sentinel: Union[ Dict[Tuple[Any, ...], Any], Dict[Any, Any], ] if composite_sentinel: rows_by_sentinel = { tuple( (proc(val) if proc else val) for val, proc in zip( row[-_nsc:], _composite_sentinel_proc ) ): row for row in rows } elif _scalar_sentinel_proc: rows_by_sentinel = { _scalar_sentinel_proc(row[-1]): row for row in rows } else: rows_by_sentinel = {row[-1]: row for row in rows} if len(rows_by_sentinel) != len(imv_batch.batch): # see test_insert_exec.py:: # IMVSentinelTest::test_sentinel_incorrect_rowcount # for coverage / demonstration raise exc.InvalidRequestError( f"Sentinel-keyed result set did not produce " f"correct number of rows {len(imv_batch.batch)}; " "produced " f"{len(rows_by_sentinel)}. Please ensure the " "sentinel column is fully unique and populated in " "all cases." ) try: ordered_rows = [ rows_by_sentinel[sentinel_keys] for sentinel_keys in imv_batch.sentinel_values ] except KeyError as ke: # see test_insert_exec.py:: # IMVSentinelTest::test_sentinel_cant_match_keys # for coverage / demonstration raise exc.InvalidRequestError( f"Can't match sentinel values in result set to " f"parameter sets; key {ke.args[0]!r} was not " "found. " "There may be a mismatch between the datatype " "passed to the DBAPI driver vs. that which it " "returns in a result row. Ensure the given " "Python value matches the expected result type " "*exactly*, taking care to not rely upon implicit " "conversions which may occur such as when using " "strings in place of UUID or integer values, etc. " ) from ke result.extend(ordered_rows) else: result.extend(rows) def do_executemany(self, cursor, statement, parameters, context=None): cursor.executemany(statement, parameters) def do_execute(self, cursor, statement, parameters, context=None): cursor.execute(statement, parameters) def do_execute_no_params(self, cursor, statement, context=None): cursor.execute(statement) def is_disconnect(self, e, connection, cursor): return False @util.memoized_instancemethod def _gen_allowed_isolation_levels(self, dbapi_conn): try: raw_levels = list(self.get_isolation_level_values(dbapi_conn)) except NotImplementedError: return None else: normalized_levels = [ level.replace("_", " ").upper() for level in raw_levels ] if raw_levels != normalized_levels: raise ValueError( f"Dialect {self.name!r} get_isolation_level_values() " f"method should return names as UPPERCASE using spaces, " f"not underscores; got " f"{sorted(set(raw_levels).difference(normalized_levels))}" ) return tuple(normalized_levels) def _assert_and_set_isolation_level(self, dbapi_conn, level): level = level.replace("_", " ").upper() _allowed_isolation_levels = self._gen_allowed_isolation_levels( dbapi_conn ) if ( _allowed_isolation_levels and level not in _allowed_isolation_levels ): raise exc.ArgumentError( f"Invalid value {level!r} for isolation_level. " f"Valid isolation levels for {self.name!r} are " f"{', '.join(_allowed_isolation_levels)}" ) self.set_isolation_level(dbapi_conn, level) def reset_isolation_level(self, dbapi_conn): if self._on_connect_isolation_level is not None: assert ( self._on_connect_isolation_level == "AUTOCOMMIT" or self._on_connect_isolation_level == self.default_isolation_level ) self._assert_and_set_isolation_level( dbapi_conn, self._on_connect_isolation_level ) else: assert self.default_isolation_level is not None self._assert_and_set_isolation_level( dbapi_conn, self.default_isolation_level, ) def normalize_name(self, name): if name is None: return None name_lower = name.lower() name_upper = name.upper() if name_upper == name_lower: # name has no upper/lower conversion, e.g. non-european characters. # return unchanged return name elif name_upper == name and not ( self.identifier_preparer._requires_quotes )(name_lower): # name is all uppercase and doesn't require quoting; normalize # to all lower case return name_lower elif name_lower == name: # name is all lower case, which if denormalized means we need to # force quoting on it return quoted_name(name, quote=True) else: # name is mixed case, means it will be quoted in SQL when used # later, no normalizes return name def denormalize_name(self, name): if name is None: return None name_lower = name.lower() name_upper = name.upper() if name_upper == name_lower: # name has no upper/lower conversion, e.g. non-european characters. # return unchanged return name elif name_lower == name and not ( self.identifier_preparer._requires_quotes )(name_lower): name = name_upper return name def get_driver_connection(self, connection): return connection def _overrides_default(self, method): return ( getattr(type(self), method).__code__ is not getattr(DefaultDialect, method).__code__ ) def _default_multi_reflect( self, single_tbl_method, connection, kind, schema, filter_names, scope, **kw, ): names_fns = [] temp_names_fns = [] if ObjectKind.TABLE in kind: names_fns.append(self.get_table_names) temp_names_fns.append(self.get_temp_table_names) if ObjectKind.VIEW in kind: names_fns.append(self.get_view_names) temp_names_fns.append(self.get_temp_view_names) if ObjectKind.MATERIALIZED_VIEW in kind: names_fns.append(self.get_materialized_view_names) # no temp materialized view at the moment # temp_names_fns.append(self.get_temp_materialized_view_names) unreflectable = kw.pop("unreflectable", {}) if ( filter_names and scope is ObjectScope.ANY and kind is ObjectKind.ANY ): # if names are given and no qualification on type of table # (i.e. the Table(..., autoload) case), take the names as given, # don't run names queries. If a table does not exit # NoSuchTableError is raised and it's skipped # this also suits the case for mssql where we can reflect # individual temp tables but there's no temp_names_fn names = filter_names else: names = [] name_kw = {"schema": schema, **kw} fns = [] if ObjectScope.DEFAULT in scope: fns.extend(names_fns) if ObjectScope.TEMPORARY in scope: fns.extend(temp_names_fns) for fn in fns: try: names.extend(fn(connection, **name_kw)) except NotImplementedError: pass if filter_names: filter_names = set(filter_names) # iterate over all the tables/views and call the single table method for table in names: if not filter_names or table in filter_names: key = (schema, table) try: yield ( key, single_tbl_method( connection, table, schema=schema, **kw ), ) except exc.UnreflectableTableError as err: if key not in unreflectable: unreflectable[key] = err except exc.NoSuchTableError: pass def get_multi_table_options(self, connection, **kw): return self._default_multi_reflect( self.get_table_options, connection, **kw ) def get_multi_columns(self, connection, **kw): return self._default_multi_reflect(self.get_columns, connection, **kw) def get_multi_pk_constraint(self, connection, **kw): return self._default_multi_reflect( self.get_pk_constraint, connection, **kw ) def get_multi_foreign_keys(self, connection, **kw): return self._default_multi_reflect( self.get_foreign_keys, connection, **kw ) def get_multi_indexes(self, connection, **kw): return self._default_multi_reflect(self.get_indexes, connection, **kw) def get_multi_unique_constraints(self, connection, **kw): return self._default_multi_reflect( self.get_unique_constraints, connection, **kw ) def get_multi_check_constraints(self, connection, **kw): return self._default_multi_reflect( self.get_check_constraints, connection, **kw ) def get_multi_table_comment(self, connection, **kw): return self._default_multi_reflect( self.get_table_comment, connection, **kw ) class StrCompileDialect(DefaultDialect): statement_compiler = compiler.StrSQLCompiler ddl_compiler = compiler.DDLCompiler type_compiler_cls = compiler.StrSQLTypeCompiler preparer = compiler.IdentifierPreparer insert_returning = True update_returning = True delete_returning = True supports_statement_cache = True supports_identity_columns = True supports_sequences = True sequences_optional = True preexecute_autoincrement_sequences = False supports_native_boolean = True supports_multivalues_insert = True supports_simple_order_by_label = True class DefaultExecutionContext(ExecutionContext): isinsert = False isupdate = False isdelete = False is_crud = False is_text = False isddl = False execute_style: ExecuteStyle = ExecuteStyle.EXECUTE compiled: Optional[Compiled] = None result_column_struct: Optional[ Tuple[List[ResultColumnsEntry], bool, bool, bool, bool] ] = None returned_default_rows: Optional[Sequence[Row[Any]]] = None execution_options: _ExecuteOptions = util.EMPTY_DICT cursor_fetch_strategy = _cursor._DEFAULT_FETCH invoked_statement: Optional[Executable] = None _is_implicit_returning = False _is_explicit_returning = False _is_supplemental_returning = False _is_server_side = False _soft_closed = False _rowcount: Optional[int] = None # a hook for SQLite's translation of # result column names # NOTE: pyhive is using this hook, can't remove it :( _translate_colname: Optional[Callable[[str], str]] = None _expanded_parameters: Mapping[str, List[str]] = util.immutabledict() """used by set_input_sizes(). This collection comes from ``ExpandedState.parameter_expansion``. """ cache_hit = NO_CACHE_KEY root_connection: Connection _dbapi_connection: PoolProxiedConnection dialect: Dialect unicode_statement: str cursor: DBAPICursor compiled_parameters: List[_MutableCoreSingleExecuteParams] parameters: _DBAPIMultiExecuteParams extracted_parameters: Optional[Sequence[BindParameter[Any]]] _empty_dict_params = cast("Mapping[str, Any]", util.EMPTY_DICT) _insertmanyvalues_rows: Optional[List[Tuple[Any, ...]]] = None _num_sentinel_cols: int = 0 @classmethod def _init_ddl( cls, dialect: Dialect, connection: Connection, dbapi_connection: PoolProxiedConnection, execution_options: _ExecuteOptions, compiled_ddl: DDLCompiler, ) -> ExecutionContext: """Initialize execution context for an ExecutableDDLElement construct.""" self = cls.__new__(cls) self.root_connection = connection self._dbapi_connection = dbapi_connection self.dialect = connection.dialect self.compiled = compiled = compiled_ddl self.isddl = True self.execution_options = execution_options self.unicode_statement = str(compiled) if compiled.schema_translate_map: schema_translate_map = self.execution_options.get( "schema_translate_map", {} ) rst = compiled.preparer._render_schema_translates self.unicode_statement = rst( self.unicode_statement, schema_translate_map ) self.statement = self.unicode_statement self.cursor = self.create_cursor() self.compiled_parameters = [] if dialect.positional: self.parameters = [dialect.execute_sequence_format()] else: self.parameters = [self._empty_dict_params] return self @classmethod def _init_compiled( cls, dialect: Dialect, connection: Connection, dbapi_connection: PoolProxiedConnection, execution_options: _ExecuteOptions, compiled: SQLCompiler, parameters: _CoreMultiExecuteParams, invoked_statement: Executable, extracted_parameters: Optional[Sequence[BindParameter[Any]]], cache_hit: CacheStats = CacheStats.CACHING_DISABLED, ) -> ExecutionContext: """Initialize execution context for a Compiled construct.""" self = cls.__new__(cls) self.root_connection = connection self._dbapi_connection = dbapi_connection self.dialect = connection.dialect self.extracted_parameters = extracted_parameters self.invoked_statement = invoked_statement self.compiled = compiled self.cache_hit = cache_hit self.execution_options = execution_options self.result_column_struct = ( compiled._result_columns, compiled._ordered_columns, compiled._textual_ordered_columns, compiled._ad_hoc_textual, compiled._loose_column_name_matching, ) self.isinsert = ii = compiled.isinsert self.isupdate = iu = compiled.isupdate self.isdelete = id_ = compiled.isdelete self.is_text = compiled.isplaintext if ii or iu or id_: dml_statement = compiled.compile_state.statement # type: ignore if TYPE_CHECKING: assert isinstance(dml_statement, UpdateBase) self.is_crud = True self._is_explicit_returning = ier = bool(dml_statement._returning) self._is_implicit_returning = iir = bool( compiled.implicit_returning ) if iir and dml_statement._supplemental_returning: self._is_supplemental_returning = True # dont mix implicit and explicit returning assert not (iir and ier) if (ier or iir) and compiled.for_executemany: if ii and not self.dialect.insert_executemany_returning: raise exc.InvalidRequestError( f"Dialect {self.dialect.dialect_description} with " f"current server capabilities does not support " "INSERT..RETURNING when executemany is used" ) elif ( ii and dml_statement._sort_by_parameter_order and not self.dialect.insert_executemany_returning_sort_by_parameter_order # noqa: E501 ): raise exc.InvalidRequestError( f"Dialect {self.dialect.dialect_description} with " f"current server capabilities does not support " "INSERT..RETURNING with deterministic row ordering " "when executemany is used" ) elif ( ii and self.dialect.use_insertmanyvalues and not compiled._insertmanyvalues ): raise exc.InvalidRequestError( 'Statement does not have "insertmanyvalues" ' "enabled, can't use INSERT..RETURNING with " "executemany in this case." ) elif iu and not self.dialect.update_executemany_returning: raise exc.InvalidRequestError( f"Dialect {self.dialect.dialect_description} with " f"current server capabilities does not support " "UPDATE..RETURNING when executemany is used" ) elif id_ and not self.dialect.delete_executemany_returning: raise exc.InvalidRequestError( f"Dialect {self.dialect.dialect_description} with " f"current server capabilities does not support " "DELETE..RETURNING when executemany is used" ) if not parameters: self.compiled_parameters = [ compiled.construct_params( extracted_parameters=extracted_parameters, escape_names=False, ) ] else: self.compiled_parameters = [ compiled.construct_params( m, escape_names=False, _group_number=grp, extracted_parameters=extracted_parameters, ) for grp, m in enumerate(parameters) ] if len(parameters) > 1: if self.isinsert and compiled._insertmanyvalues: self.execute_style = ExecuteStyle.INSERTMANYVALUES imv = compiled._insertmanyvalues if imv.sentinel_columns is not None: self._num_sentinel_cols = imv.num_sentinel_columns else: self.execute_style = ExecuteStyle.EXECUTEMANY self.unicode_statement = compiled.string self.cursor = self.create_cursor() if self.compiled.insert_prefetch or self.compiled.update_prefetch: self._process_execute_defaults() processors = compiled._bind_processors flattened_processors: Mapping[ str, _BindProcessorType[Any] ] = processors # type: ignore[assignment] if compiled.literal_execute_params or compiled.post_compile_params: if self.executemany: raise exc.InvalidRequestError( "'literal_execute' or 'expanding' parameters can't be " "used with executemany()" ) expanded_state = compiled._process_parameters_for_postcompile( self.compiled_parameters[0] ) # re-assign self.unicode_statement self.unicode_statement = expanded_state.statement self._expanded_parameters = expanded_state.parameter_expansion flattened_processors = dict(processors) # type: ignore flattened_processors.update(expanded_state.processors) positiontup = expanded_state.positiontup elif compiled.positional: positiontup = self.compiled.positiontup else: positiontup = None if compiled.schema_translate_map: schema_translate_map = self.execution_options.get( "schema_translate_map", {} ) rst = compiled.preparer._render_schema_translates self.unicode_statement = rst( self.unicode_statement, schema_translate_map ) # final self.unicode_statement is now assigned, encode if needed # by dialect self.statement = self.unicode_statement # Convert the dictionary of bind parameter values # into a dict or list to be sent to the DBAPI's # execute() or executemany() method. if compiled.positional: core_positional_parameters: MutableSequence[Sequence[Any]] = [] assert positiontup is not None for compiled_params in self.compiled_parameters: l_param: List[Any] = [ ( flattened_processors[key](compiled_params[key]) if key in flattened_processors else compiled_params[key] ) for key in positiontup ] core_positional_parameters.append( dialect.execute_sequence_format(l_param) ) self.parameters = core_positional_parameters else: core_dict_parameters: MutableSequence[Dict[str, Any]] = [] escaped_names = compiled.escaped_bind_names # note that currently, "expanded" parameters will be present # in self.compiled_parameters in their quoted form. This is # slightly inconsistent with the approach taken as of # #8056 where self.compiled_parameters is meant to contain unquoted # param names. d_param: Dict[str, Any] for compiled_params in self.compiled_parameters: if escaped_names: d_param = { escaped_names.get(key, key): ( flattened_processors[key](compiled_params[key]) if key in flattened_processors else compiled_params[key] ) for key in compiled_params } else: d_param = { key: ( flattened_processors[key](compiled_params[key]) if key in flattened_processors else compiled_params[key] ) for key in compiled_params } core_dict_parameters.append(d_param) self.parameters = core_dict_parameters return self @classmethod def _init_statement( cls, dialect: Dialect, connection: Connection, dbapi_connection: PoolProxiedConnection, execution_options: _ExecuteOptions, statement: str, parameters: _DBAPIMultiExecuteParams, ) -> ExecutionContext: """Initialize execution context for a string SQL statement.""" self = cls.__new__(cls) self.root_connection = connection self._dbapi_connection = dbapi_connection self.dialect = connection.dialect self.is_text = True self.execution_options = execution_options if not parameters: if self.dialect.positional: self.parameters = [dialect.execute_sequence_format()] else: self.parameters = [self._empty_dict_params] elif isinstance(parameters[0], dialect.execute_sequence_format): self.parameters = parameters elif isinstance(parameters[0], dict): self.parameters = parameters else: self.parameters = [ dialect.execute_sequence_format(p) for p in parameters ] if len(parameters) > 1: self.execute_style = ExecuteStyle.EXECUTEMANY self.statement = self.unicode_statement = statement self.cursor = self.create_cursor() return self @classmethod def _init_default( cls, dialect: Dialect, connection: Connection, dbapi_connection: PoolProxiedConnection, execution_options: _ExecuteOptions, ) -> ExecutionContext: """Initialize execution context for a ColumnDefault construct.""" self = cls.__new__(cls) self.root_connection = connection self._dbapi_connection = dbapi_connection self.dialect = connection.dialect self.execution_options = execution_options self.cursor = self.create_cursor() return self def _get_cache_stats(self) -> str: if self.compiled is None: return "raw sql" now = perf_counter() ch = self.cache_hit gen_time = self.compiled._gen_time assert gen_time is not None if ch is NO_CACHE_KEY: return "no key %.5fs" % (now - gen_time,) elif ch is CACHE_HIT: return "cached since %.4gs ago" % (now - gen_time,) elif ch is CACHE_MISS: return "generated in %.5fs" % (now - gen_time,) elif ch is CACHING_DISABLED: if "_cache_disable_reason" in self.execution_options: return "caching disabled (%s) %.5fs " % ( self.execution_options["_cache_disable_reason"], now - gen_time, ) else: return "caching disabled %.5fs" % (now - gen_time,) elif ch is NO_DIALECT_SUPPORT: return "dialect %s+%s does not support caching %.5fs" % ( self.dialect.name, self.dialect.driver, now - gen_time, ) else: return "unknown" @property def executemany(self): return self.execute_style in ( ExecuteStyle.EXECUTEMANY, ExecuteStyle.INSERTMANYVALUES, ) @util.memoized_property def identifier_preparer(self): if self.compiled: return self.compiled.preparer elif "schema_translate_map" in self.execution_options: return self.dialect.identifier_preparer._with_schema_translate( self.execution_options["schema_translate_map"] ) else: return self.dialect.identifier_preparer @util.memoized_property def engine(self): return self.root_connection.engine @util.memoized_property def postfetch_cols(self) -> Optional[Sequence[Column[Any]]]: if TYPE_CHECKING: assert isinstance(self.compiled, SQLCompiler) return self.compiled.postfetch @util.memoized_property def prefetch_cols(self) -> Optional[Sequence[Column[Any]]]: if TYPE_CHECKING: assert isinstance(self.compiled, SQLCompiler) if self.isinsert: return self.compiled.insert_prefetch elif self.isupdate: return self.compiled.update_prefetch else: return () @util.memoized_property def no_parameters(self): return self.execution_options.get("no_parameters", False) def _execute_scalar(self, stmt, type_, parameters=None): """Execute a string statement on the current cursor, returning a scalar result. Used to fire off sequences, default phrases, and "select lastrowid" types of statements individually or in the context of a parent INSERT or UPDATE statement. """ conn = self.root_connection if "schema_translate_map" in self.execution_options: schema_translate_map = self.execution_options.get( "schema_translate_map", {} ) rst = self.identifier_preparer._render_schema_translates stmt = rst(stmt, schema_translate_map) if not parameters: if self.dialect.positional: parameters = self.dialect.execute_sequence_format() else: parameters = {} conn._cursor_execute(self.cursor, stmt, parameters, context=self) row = self.cursor.fetchone() if row is not None: r = row[0] else: r = None if type_ is not None: # apply type post processors to the result proc = type_._cached_result_processor( self.dialect, self.cursor.description[0][1] ) if proc: return proc(r) return r @util.memoized_property def connection(self): return self.root_connection def _use_server_side_cursor(self): if not self.dialect.supports_server_side_cursors: return False if self.dialect.server_side_cursors: # this is deprecated use_server_side = self.execution_options.get( "stream_results", True ) and ( self.compiled and isinstance(self.compiled.statement, expression.Selectable) or ( ( not self.compiled or isinstance( self.compiled.statement, expression.TextClause ) ) and self.unicode_statement and SERVER_SIDE_CURSOR_RE.match(self.unicode_statement) ) ) else: use_server_side = self.execution_options.get( "stream_results", False ) return use_server_side def create_cursor(self): if ( # inlining initial preference checks for SS cursors self.dialect.supports_server_side_cursors and ( self.execution_options.get("stream_results", False) or ( self.dialect.server_side_cursors and self._use_server_side_cursor() ) ) ): self._is_server_side = True return self.create_server_side_cursor() else: self._is_server_side = False return self.create_default_cursor() def fetchall_for_returning(self, cursor): return cursor.fetchall() def create_default_cursor(self): return self._dbapi_connection.cursor() def create_server_side_cursor(self): raise NotImplementedError() def pre_exec(self): pass def get_out_parameter_values(self, names): raise NotImplementedError( "This dialect does not support OUT parameters" ) def post_exec(self): pass def get_result_processor(self, type_, colname, coltype): """Return a 'result processor' for a given type as present in cursor.description. This has a default implementation that dialects can override for context-sensitive result type handling. """ return type_._cached_result_processor(self.dialect, coltype) def get_lastrowid(self): """return self.cursor.lastrowid, or equivalent, after an INSERT. This may involve calling special cursor functions, issuing a new SELECT on the cursor (or a new one), or returning a stored value that was calculated within post_exec(). This function will only be called for dialects which support "implicit" primary key generation, keep preexecute_autoincrement_sequences set to False, and when no explicit id value was bound to the statement. The function is called once for an INSERT statement that would need to return the last inserted primary key for those dialects that make use of the lastrowid concept. In these cases, it is called directly after :meth:`.ExecutionContext.post_exec`. """ return self.cursor.lastrowid def handle_dbapi_exception(self, e): pass @util.non_memoized_property def rowcount(self) -> int: if self._rowcount is not None: return self._rowcount else: return self.cursor.rowcount @property def _has_rowcount(self): return self._rowcount is not None def supports_sane_rowcount(self): return self.dialect.supports_sane_rowcount def supports_sane_multi_rowcount(self): return self.dialect.supports_sane_multi_rowcount def _setup_result_proxy(self): exec_opt = self.execution_options if self._rowcount is None and exec_opt.get("preserve_rowcount", False): self._rowcount = self.cursor.rowcount if self.is_crud or self.is_text: result = self._setup_dml_or_text_result() yp = sr = False else: yp = exec_opt.get("yield_per", None) sr = self._is_server_side or exec_opt.get("stream_results", False) strategy = self.cursor_fetch_strategy if sr and strategy is _cursor._DEFAULT_FETCH: strategy = _cursor.BufferedRowCursorFetchStrategy( self.cursor, self.execution_options ) cursor_description: _DBAPICursorDescription = ( strategy.alternate_cursor_description or self.cursor.description ) if cursor_description is None: strategy = _cursor._NO_CURSOR_DQL result = _cursor.CursorResult(self, strategy, cursor_description) compiled = self.compiled if ( compiled and not self.isddl and cast(SQLCompiler, compiled).has_out_parameters ): self._setup_out_parameters(result) self._soft_closed = result._soft_closed if yp: result = result.yield_per(yp) return result def _setup_out_parameters(self, result): compiled = cast(SQLCompiler, self.compiled) out_bindparams = [ (param, name) for param, name in compiled.bind_names.items() if param.isoutparam ] out_parameters = {} for bindparam, raw_value in zip( [param for param, name in out_bindparams], self.get_out_parameter_values( [name for param, name in out_bindparams] ), ): type_ = bindparam.type impl_type = type_.dialect_impl(self.dialect) dbapi_type = impl_type.get_dbapi_type(self.dialect.loaded_dbapi) result_processor = impl_type.result_processor( self.dialect, dbapi_type ) if result_processor is not None: raw_value = result_processor(raw_value) out_parameters[bindparam.key] = raw_value result.out_parameters = out_parameters def _setup_dml_or_text_result(self): compiled = cast(SQLCompiler, self.compiled) strategy: ResultFetchStrategy = self.cursor_fetch_strategy if self.isinsert: if ( self.execute_style is ExecuteStyle.INSERTMANYVALUES and compiled.effective_returning ): strategy = _cursor.FullyBufferedCursorFetchStrategy( self.cursor, initial_buffer=self._insertmanyvalues_rows, # maintain alt cursor description if set by the # dialect, e.g. mssql preserves it alternate_description=( strategy.alternate_cursor_description ), ) if compiled.postfetch_lastrowid: self.inserted_primary_key_rows = ( self._setup_ins_pk_from_lastrowid() ) # else if not self._is_implicit_returning, # the default inserted_primary_key_rows accessor will # return an "empty" primary key collection when accessed. if self._is_server_side and strategy is _cursor._DEFAULT_FETCH: strategy = _cursor.BufferedRowCursorFetchStrategy( self.cursor, self.execution_options ) if strategy is _cursor._NO_CURSOR_DML: cursor_description = None else: cursor_description = ( strategy.alternate_cursor_description or self.cursor.description ) if cursor_description is None: strategy = _cursor._NO_CURSOR_DML elif self._num_sentinel_cols: assert self.execute_style is ExecuteStyle.INSERTMANYVALUES # strip out the sentinel columns from cursor description # a similar logic is done to the rows only in CursorResult cursor_description = cursor_description[ 0 : -self._num_sentinel_cols ] result: _cursor.CursorResult[Any] = _cursor.CursorResult( self, strategy, cursor_description ) if self.isinsert: if self._is_implicit_returning: rows = result.all() self.returned_default_rows = rows self.inserted_primary_key_rows = ( self._setup_ins_pk_from_implicit_returning(result, rows) ) # test that it has a cursor metadata that is accurate. the # first row will have been fetched and current assumptions # are that the result has only one row, until executemany() # support is added here. assert result._metadata.returns_rows # Insert statement has both return_defaults() and # returning(). rewind the result on the list of rows # we just used. if self._is_supplemental_returning: result._rewind(rows) else: result._soft_close() elif not self._is_explicit_returning: result._soft_close() # we assume here the result does not return any rows. # *usually*, this will be true. However, some dialects # such as that of MSSQL/pyodbc need to SELECT a post fetch # function so this is not necessarily true. # assert not result.returns_rows elif self._is_implicit_returning: rows = result.all() if rows: self.returned_default_rows = rows self._rowcount = len(rows) if self._is_supplemental_returning: result._rewind(rows) else: result._soft_close() # test that it has a cursor metadata that is accurate. # the rows have all been fetched however. assert result._metadata.returns_rows elif not result._metadata.returns_rows: # no results, get rowcount # (which requires open cursor on some drivers) if self._rowcount is None: self._rowcount = self.cursor.rowcount result._soft_close() elif self.isupdate or self.isdelete: if self._rowcount is None: self._rowcount = self.cursor.rowcount return result @util.memoized_property def inserted_primary_key_rows(self): # if no specific "get primary key" strategy was set up # during execution, return a "default" primary key based # on what's in the compiled_parameters and nothing else. return self._setup_ins_pk_from_empty() def _setup_ins_pk_from_lastrowid(self): getter = cast( SQLCompiler, self.compiled )._inserted_primary_key_from_lastrowid_getter lastrowid = self.get_lastrowid() return [getter(lastrowid, self.compiled_parameters[0])] def _setup_ins_pk_from_empty(self): getter = cast( SQLCompiler, self.compiled )._inserted_primary_key_from_lastrowid_getter return [getter(None, param) for param in self.compiled_parameters] def _setup_ins_pk_from_implicit_returning(self, result, rows): if not rows: return [] getter = cast( SQLCompiler, self.compiled )._inserted_primary_key_from_returning_getter compiled_params = self.compiled_parameters return [ getter(row, param) for row, param in zip(rows, compiled_params) ] def lastrow_has_defaults(self): return (self.isinsert or self.isupdate) and bool( cast(SQLCompiler, self.compiled).postfetch ) def _prepare_set_input_sizes( self, ) -> Optional[List[Tuple[str, Any, TypeEngine[Any]]]]: """Given a cursor and ClauseParameters, prepare arguments in order to call the appropriate style of ``setinputsizes()`` on the cursor, using DB-API types from the bind parameter's ``TypeEngine`` objects. This method only called by those dialects which set the :attr:`.Dialect.bind_typing` attribute to :attr:`.BindTyping.SETINPUTSIZES`. cx_Oracle is the only DBAPI that requires setinputsizes(), pyodbc offers it as an option. Prior to SQLAlchemy 2.0, the setinputsizes() approach was also used for pg8000 and asyncpg, which has been changed to inline rendering of casts. """ if self.isddl or self.is_text: return None compiled = cast(SQLCompiler, self.compiled) inputsizes = compiled._get_set_input_sizes_lookup() if inputsizes is None: return None dialect = self.dialect # all of the rest of this... cython? if dialect._has_events: inputsizes = dict(inputsizes) dialect.dispatch.do_setinputsizes( inputsizes, self.cursor, self.statement, self.parameters, self ) if compiled.escaped_bind_names: escaped_bind_names = compiled.escaped_bind_names else: escaped_bind_names = None if dialect.positional: items = [ (key, compiled.binds[key]) for key in compiled.positiontup or () ] else: items = [ (key, bindparam) for bindparam, key in compiled.bind_names.items() ] generic_inputsizes: List[Tuple[str, Any, TypeEngine[Any]]] = [] for key, bindparam in items: if bindparam in compiled.literal_execute_params: continue if key in self._expanded_parameters: if is_tuple_type(bindparam.type): num = len(bindparam.type.types) dbtypes = inputsizes[bindparam] generic_inputsizes.extend( ( ( escaped_bind_names.get(paramname, paramname) if escaped_bind_names is not None else paramname ), dbtypes[idx % num], bindparam.type.types[idx % num], ) for idx, paramname in enumerate( self._expanded_parameters[key] ) ) else: dbtype = inputsizes.get(bindparam, None) generic_inputsizes.extend( ( ( escaped_bind_names.get(paramname, paramname) if escaped_bind_names is not None else paramname ), dbtype, bindparam.type, ) for paramname in self._expanded_parameters[key] ) else: dbtype = inputsizes.get(bindparam, None) escaped_name = ( escaped_bind_names.get(key, key) if escaped_bind_names is not None else key ) generic_inputsizes.append( (escaped_name, dbtype, bindparam.type) ) return generic_inputsizes def _exec_default(self, column, default, type_): if default.is_sequence: return self.fire_sequence(default, type_) elif default.is_callable: # this codepath is not normally used as it's inlined # into _process_execute_defaults self.current_column = column return default.arg(self) elif default.is_clause_element: return self._exec_default_clause_element(column, default, type_) else: # this codepath is not normally used as it's inlined # into _process_execute_defaults return default.arg def _exec_default_clause_element(self, column, default, type_): # execute a default that's a complete clause element. Here, we have # to re-implement a miniature version of the compile->parameters-> # cursor.execute() sequence, since we don't want to modify the state # of the connection / result in progress or create new connection/ # result objects etc. # .. versionchanged:: 1.4 if not default._arg_is_typed: default_arg = expression.type_coerce(default.arg, type_) else: default_arg = default.arg compiled = expression.select(default_arg).compile(dialect=self.dialect) compiled_params = compiled.construct_params() processors = compiled._bind_processors if compiled.positional: parameters = self.dialect.execute_sequence_format( [ ( processors[key](compiled_params[key]) # type: ignore if key in processors else compiled_params[key] ) for key in compiled.positiontup or () ] ) else: parameters = { key: ( processors[key](compiled_params[key]) # type: ignore if key in processors else compiled_params[key] ) for key in compiled_params } return self._execute_scalar( str(compiled), type_, parameters=parameters ) current_parameters: Optional[_CoreSingleExecuteParams] = None """A dictionary of parameters applied to the current row. This attribute is only available in the context of a user-defined default generation function, e.g. as described at :ref:`context_default_functions`. It consists of a dictionary which includes entries for each column/value pair that is to be part of the INSERT or UPDATE statement. The keys of the dictionary will be the key value of each :class:`_schema.Column`, which is usually synonymous with the name. Note that the :attr:`.DefaultExecutionContext.current_parameters` attribute does not accommodate for the "multi-values" feature of the :meth:`_expression.Insert.values` method. The :meth:`.DefaultExecutionContext.get_current_parameters` method should be preferred. .. seealso:: :meth:`.DefaultExecutionContext.get_current_parameters` :ref:`context_default_functions` """ def get_current_parameters(self, isolate_multiinsert_groups=True): """Return a dictionary of parameters applied to the current row. This method can only be used in the context of a user-defined default generation function, e.g. as described at :ref:`context_default_functions`. When invoked, a dictionary is returned which includes entries for each column/value pair that is part of the INSERT or UPDATE statement. The keys of the dictionary will be the key value of each :class:`_schema.Column`, which is usually synonymous with the name. :param isolate_multiinsert_groups=True: indicates that multi-valued INSERT constructs created using :meth:`_expression.Insert.values` should be handled by returning only the subset of parameters that are local to the current column default invocation. When ``False``, the raw parameters of the statement are returned including the naming convention used in the case of multi-valued INSERT. .. versionadded:: 1.2 added :meth:`.DefaultExecutionContext.get_current_parameters` which provides more functionality over the existing :attr:`.DefaultExecutionContext.current_parameters` attribute. .. seealso:: :attr:`.DefaultExecutionContext.current_parameters` :ref:`context_default_functions` """ try: parameters = self.current_parameters column = self.current_column except AttributeError: raise exc.InvalidRequestError( "get_current_parameters() can only be invoked in the " "context of a Python side column default function" ) else: assert column is not None assert parameters is not None compile_state = cast( "DMLState", cast(SQLCompiler, self.compiled).compile_state ) assert compile_state is not None if ( isolate_multiinsert_groups and dml.isinsert(compile_state) and compile_state._has_multi_parameters ): if column._is_multiparam_column: index = column.index + 1 d = {column.original.key: parameters[column.key]} else: d = {column.key: parameters[column.key]} index = 0 assert compile_state._dict_parameters is not None keys = compile_state._dict_parameters.keys() d.update( (key, parameters["%s_m%d" % (key, index)]) for key in keys ) return d else: return parameters def get_insert_default(self, column): if column.default is None: return None else: return self._exec_default(column, column.default, column.type) def get_update_default(self, column): if column.onupdate is None: return None else: return self._exec_default(column, column.onupdate, column.type) def _process_execute_defaults(self): compiled = cast(SQLCompiler, self.compiled) key_getter = compiled._within_exec_param_key_getter sentinel_counter = 0 if compiled.insert_prefetch: prefetch_recs = [ ( c, key_getter(c), c._default_description_tuple, self.get_insert_default, ) for c in compiled.insert_prefetch ] elif compiled.update_prefetch: prefetch_recs = [ ( c, key_getter(c), c._onupdate_description_tuple, self.get_update_default, ) for c in compiled.update_prefetch ] else: prefetch_recs = [] for param in self.compiled_parameters: self.current_parameters = param for ( c, param_key, (arg, is_scalar, is_callable, is_sentinel), fallback, ) in prefetch_recs: if is_sentinel: param[param_key] = sentinel_counter sentinel_counter += 1 elif is_scalar: param[param_key] = arg elif is_callable: self.current_column = c param[param_key] = arg(self) else: val = fallback(c) if val is not None: param[param_key] = val del self.current_parameters DefaultDialect.execution_ctx_cls = DefaultExecutionContext
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