[orm] [bug] Fixed endless loop which could occur when using "relationship to aliased
class" feature and also indicating a recursive eager loader such as
lazy="selectinload" in the loader, in combination with another eager
loader on the opposite side. The check for cycles has been fixed to include
aliased class relationships.
[mssql] [bug] Due to a critical bug identified in SQL Server, the SQLAlchemy
"insertmanyvalues" feature which allows fast INSERT of many rows while also
supporting RETURNING unfortunately needs to be disabled for SQL Server. SQL
Server is apparently unable to guarantee that the order of rows inserted
matches the order in which they are sent back by OUTPUT inserted when
table-valued rows are used with INSERT in conjunction with OUTPUT inserted.
We are trying to see if Microsoft is able to confirm this undocumented
behavior however there is no known workaround, other than it's not safe to
use table-valued expressions with OUTPUT inserted for now.
[mssql] [bug] Changed the bulk INSERT strategy used for SQL Server "executemany" with
pyodbc when fast_executemany is set to True by using
fast_executemany / cursor.executemany() for bulk INSERT that does
not include RETURNING, restoring the same behavior as was used in
SQLAlchemy 1.4 when this parameter is set.
New performance details from end users have shown that fast_executemany
is still much faster for very large datasets as it uses ODBC commands that
can receive all rows in a single round trip, allowing for much larger
datasizes than the batches that can be sent by "insertmanyvalues"
as was implemented for SQL Server.
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Bumps sqlalchemy from 1.4.29 to 2.0.9.
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Sourced from sqlalchemy's releases.
... (truncated)
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