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opt
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hc_python
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lib64
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python3.8
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sqlalchemy
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dialects
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mysql
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dml.py
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# dialects/mysql/dml.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 from __future__ import annotations from typing import Any from typing import List from typing import Mapping from typing import Optional from typing import Tuple from typing import Union from ... import exc from ... import util from ...sql._typing import _DMLTableArgument from ...sql.base import _exclusive_against from ...sql.base import _generative from ...sql.base import ColumnCollection from ...sql.base import ReadOnlyColumnCollection from ...sql.dml import Insert as StandardInsert from ...sql.elements import ClauseElement from ...sql.elements import KeyedColumnElement from ...sql.expression import alias from ...sql.selectable import NamedFromClause from ...util.typing import Self __all__ = ("Insert", "insert") def insert(table: _DMLTableArgument) -> Insert: """Construct a MySQL/MariaDB-specific variant :class:`_mysql.Insert` construct. .. container:: inherited_member The :func:`sqlalchemy.dialects.mysql.insert` function creates a :class:`sqlalchemy.dialects.mysql.Insert`. This class is based on the dialect-agnostic :class:`_sql.Insert` construct which may be constructed using the :func:`_sql.insert` function in SQLAlchemy Core. The :class:`_mysql.Insert` construct includes additional methods :meth:`_mysql.Insert.on_duplicate_key_update`. """ return Insert(table) class Insert(StandardInsert): """MySQL-specific implementation of INSERT. Adds methods for MySQL-specific syntaxes such as ON DUPLICATE KEY UPDATE. The :class:`~.mysql.Insert` object is created using the :func:`sqlalchemy.dialects.mysql.insert` function. .. versionadded:: 1.2 """ stringify_dialect = "mysql" inherit_cache = False @property def inserted( self, ) -> ReadOnlyColumnCollection[str, KeyedColumnElement[Any]]: """Provide the "inserted" namespace for an ON DUPLICATE KEY UPDATE statement MySQL's ON DUPLICATE KEY UPDATE clause allows reference to the row that would be inserted, via a special function called ``VALUES()``. This attribute provides all columns in this row to be referenceable such that they will render within a ``VALUES()`` function inside the ON DUPLICATE KEY UPDATE clause. The attribute is named ``.inserted`` so as not to conflict with the existing :meth:`_expression.Insert.values` method. .. tip:: The :attr:`_mysql.Insert.inserted` attribute is an instance of :class:`_expression.ColumnCollection`, which provides an interface the same as that of the :attr:`_schema.Table.c` collection described at :ref:`metadata_tables_and_columns`. With this collection, ordinary names are accessible like attributes (e.g. ``stmt.inserted.some_column``), but special names and dictionary method names should be accessed using indexed access, such as ``stmt.inserted["column name"]`` or ``stmt.inserted["values"]``. See the docstring for :class:`_expression.ColumnCollection` for further examples. .. seealso:: :ref:`mysql_insert_on_duplicate_key_update` - example of how to use :attr:`_expression.Insert.inserted` """ return self.inserted_alias.columns @util.memoized_property def inserted_alias(self) -> NamedFromClause: return alias(self.table, name="inserted") @_generative @_exclusive_against( "_post_values_clause", msgs={ "_post_values_clause": "This Insert construct already " "has an ON DUPLICATE KEY clause present" }, ) def on_duplicate_key_update(self, *args: _UpdateArg, **kw: Any) -> Self: r""" Specifies the ON DUPLICATE KEY UPDATE clause. :param \**kw: Column keys linked to UPDATE values. The values may be any SQL expression or supported literal Python values. .. warning:: This dictionary does **not** take into account Python-specified default UPDATE values or generation functions, e.g. those specified using :paramref:`_schema.Column.onupdate`. These values will not be exercised for an ON DUPLICATE KEY UPDATE style of UPDATE, unless values are manually specified here. :param \*args: As an alternative to passing key/value parameters, a dictionary or list of 2-tuples can be passed as a single positional argument. Passing a single dictionary is equivalent to the keyword argument form:: insert().on_duplicate_key_update({"name": "some name"}) Passing a list of 2-tuples indicates that the parameter assignments in the UPDATE clause should be ordered as sent, in a manner similar to that described for the :class:`_expression.Update` construct overall in :ref:`tutorial_parameter_ordered_updates`:: insert().on_duplicate_key_update( [("name", "some name"), ("value", "some value")]) .. versionchanged:: 1.3 parameters can be specified as a dictionary or list of 2-tuples; the latter form provides for parameter ordering. .. versionadded:: 1.2 .. seealso:: :ref:`mysql_insert_on_duplicate_key_update` """ if args and kw: raise exc.ArgumentError( "Can't pass kwargs and positional arguments simultaneously" ) if args: if len(args) > 1: raise exc.ArgumentError( "Only a single dictionary or list of tuples " "is accepted positionally." ) values = args[0] else: values = kw self._post_values_clause = OnDuplicateClause( self.inserted_alias, values ) return self class OnDuplicateClause(ClauseElement): __visit_name__ = "on_duplicate_key_update" _parameter_ordering: Optional[List[str]] = None stringify_dialect = "mysql" def __init__( self, inserted_alias: NamedFromClause, update: _UpdateArg ) -> None: self.inserted_alias = inserted_alias # auto-detect that parameters should be ordered. This is copied from # Update._proces_colparams(), however we don't look for a special flag # in this case since we are not disambiguating from other use cases as # we are in Update.values(). if isinstance(update, list) and ( update and isinstance(update[0], tuple) ): self._parameter_ordering = [key for key, value in update] update = dict(update) if isinstance(update, dict): if not update: raise ValueError( "update parameter dictionary must not be empty" ) elif isinstance(update, ColumnCollection): update = dict(update) else: raise ValueError( "update parameter must be a non-empty dictionary " "or a ColumnCollection such as the `.c.` collection " "of a Table object" ) self.update = update _UpdateArg = Union[ Mapping[Any, Any], List[Tuple[str, Any]], ColumnCollection[Any, Any] ]