Fixed issue in :func:`_sql.values` construct where an internal compilation error would occur if the construct were used inside of a scalar subquery. Fixes: #9772 Change-Id: I4b0f756977abafbd2aabaaa0064baa875249ebe1
fix a handful of warnings that were emitting but not raising, usually because they were inside an "expect_warnings" block. modify "expect_warnings" to always use "raise_on_any_unexpected" behavior; remove this parameter. Fixed issue in semi-private ``await_only()`` and ``await_fallback()`` concurrency functions where the given awaitable would remain un-awaited if the function threw a ``GreenletError``, which could cause "was not awaited" warnings later on if the program continued. In this case, the given awaitable is now cancelled before the exception is thrown. Change-Id: I33668c5e8c670454a3d879e559096fb873b57244
Implemented the "cartesian product warning" for UPDATE and DELETE statements, those which include multiple tables that are not correlated together in some way. Fixed issue where :func:`_dml.update` construct that included multiple tables and no VALUES clause would raise with an internal error. Current behavior for :class:`_dml.Update` with no values is to generate a SQL UPDATE statement with an empty "set" clause, so this has been made consistent for this specific sub-case. Fixes: #9721 Change-Id: I556639811cc930d2e37532965d2ae751882af921
Fixed 2.0 regression where use of :func:`_sql.bindparam()` inside of :meth:`_dml.Insert.values` would fail to be interpreted correctly when executing the :class:`_dml.Insert` statement using the ORM :class:`_orm.Session`, due to the new ORM-enabled insert feature not implementing this use case. In addition, the bulk INSERT and UPDATE features now add these capabilities: * The requirement that extra parameters aren't passed when using ORM INSERT using the "orm" dml_strategy setting is lifted. * The requirement that additional WHERE criteria is not passed when using ORM UPDATE using the "bulk" dml_strategy setting is lifted. Note that in this case, the check for expected row count is turned off. Fixes: #9583 Change-Id: I539c18893b697caeab5a5f0195a27d4f0487e728
Improved :class:`_engine.Row` implementation to optimize ``__getattr__`` performance. The serialization of a :class:`_engine.Row` to pickle has changed with this change. Pickle saved by older SQLAlchemy versions can still be loaded, but new pickle saved by this version cannot be loaded by older ones. Fixes: #9678 Closes: #9668 Pull-request: https://github.com/sqlalchemy/sqlalchemy/pull/9668 Pull-request-sha: 86b8ccd1959dbd91b1208f7a648a91f217e1f866 Change-Id: Ia85c26a59e1a57ba2bf0d65578c6168f82a559f2
Added support for slice access with :class:`.ColumnCollection`, e.g. ``table.c[0:5]``, ``subquery.c[:-1]`` etc. Slice access returns a sub :class:`.ColumnCollection` in the same way as passing a tuple of keys. This is a natural continuation of the key-tuple access added for :ticket:`8285`, which it appears to be an oversight that this usage was omitted. Change-Id: I6378642f39501ffbbae4acadf1dc38a43c39d722 References: #8285 References: #9690
Repaired a major shortcoming which was identified in the :ref:`engine_insertmanyvalues` performance optimization feature first introduced in the 2.0 series. This was a continuation of the change in 2.0.9 which disabled the SQL Server version of the feature due to a reliance in the ORM on apparent row ordering that is not guaranteed to take place. The fix applies new logic to all "insertmanyvalues" operations, which takes effect when a new parameter :paramref:`_dml.Insert.returning.sort_by_parameter_order` on the :meth:`_dml.Insert.returning` or :meth:`_dml.UpdateBase.return_defaults` methods, that through a combination of alternate SQL forms, direct correspondence of client side parameters, and in some cases downgrading to running row-at-a-time, will apply sorting to each batch of returned rows using correspondence to primary key or other unique values in each row which can be correlated to the input data. Performance impact is expected to be minimal as nearly all common primary key scenarios are suitable for parameter-ordered batching to be achieved for all backends other than SQLite, while "row-at-a-time" mode operates with a bare minimum of Python overhead compared to the very heavyweight approaches used in the 1.x series. For SQLite, there is no difference in performance when "row-at-a-time" mode is used. It's anticipated that with an efficient "row-at-a-time" INSERT with RETURNING batching capability, the "insertmanyvalues" feature can be later be more easily generalized to third party backends that include RETURNING support but not necessarily easy ways to guarantee a correspondence with parameter order. Fixes: #9618 References: #9603 Change-Id: I1d79353f5f19638f752936ba1c35e4dc235a8b7c