I have something like the following...
class TimestampMixin(object):
created_at = db.Column(db.DateTime, default=datetime.datetime.utcnow)
modified_at = db.Column(db.DateTime, default=datetime.datetime.utcnow,
onupdate=datetime.datetime.utcnow)
class Memo(db.Model, TimestampMixin):
that should be `loaded_columns_as_dict()` , unless you decorate the method
with @property.
--
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The Python SQL Toolkit and Object Relational Mapper
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I use a mixin class to handle this stuff. Example below.
> So, my question: is it generally better practice to name every column
that you want to pull, even if it's a long list?
Not really. There is a "bundle" api here that might be better for you-
triggers, ah. Maybe? that seems inconvenient. it would be good if you could
adjust the triggers to not affect the rowcount of the original statement,
otherwise you'd have to set supports_sane_rowcount=False on your engine:
engine.dialect.supports_sane_rowcount =False
On Fri, Jun 26, 2020, at
I think ID is the only primary key of the Measurements table, but I can
double check this on Monday. I used sqlacodegen to create the initial
models, so if this tool correctly detects primary keys, the Measurement
model should match the table definition.
I also tried to execute the follwing
yeah that is just disabling the check, the "5000 rows matched" is a critical
malfunction referring to non-working primary key.
On Fri, Jun 26, 2020, at 10:39 AM, jue...@gmail.com wrote:
> Strangely, if I add the following mapper_args, it is working with a warning
> (SAWarning: Dialect
hi -
does your Measurement table have a primary key constraint present, and does
this primary key constraint consist of exactly the "ID" column only and no
other columns? it would appear you have not mapped the primary key correctly.
On Fri, Jun 26, 2020, at 9:57 AM, jue...@gmail.com wrote:
Strangely, if I add the following mapper_args, it is working with a warning
(SAWarning: Dialect mssql+pyodbc does not support updated rowcount -
versioning cannot be verified.) but not with an exception.
__mapper_args__ = {
'version_id_col': Created,
'version_id_generator':
Here is the code I used (simplified):
class Measurement(Base):
__tablename__ = 'Measurement'
__table_args__ = (
{'implicit_returning': False}, # Required because of some triggers
on this table
)
ID = Column(Integer, primary_key=True)
Created = Column(DATETIME2,
I'm currently working with sqlalchemy (Version 1.3.18) to access a
Microsoft Server SQL Database (Version: 14.00.3223). I use pyodbc
(Version 4.0.30)
When I try to update a single object and try to update and commit the
object, I run into a StaleDataError:
StaleDataError: UPDATE statement on
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