What is the error message when it fails?
On Thu, Oct 10, 2019 at 10:00 AM Pradeep Dhamale
wrote:
>
> i have created a mssql connection using sqlalchemy : mssql+turbodbc engine,
> the script runs properly when it is a .py file , however whenever i convert
> the .py file to .exe using
>
> 1) What strategy for caching I should consider while using SQLAlchemy?
> Currently, the only option I see is to have a duplicated declaration of
> entities in a form of simple classes and use it when I don't need
> modification. Needles to say, it's a lot of code duplication.
I cache
On Thu, Oct 10, 2019, at 2:48 AM, Александр Егоров wrote:
> Hello!
>
> I want to cache query results in a distributed cache (Redis), so I need to
> serialize/deserialize fetched entities very fast.
> However, it turned that SQLAlchemy entities are very heavy for pickle to
> dump/load. Regular
On Thu, Oct 10, 2019, at 3:53 AM, 'Marc Vegetti' via sqlalchemy wrote:
> Hello, first of all, thnak you for your fast answer.
>
> I was refering to :
>> A database level `ON DELETE` cascade is configured effectively on the
>> *many-to-one* side of the relationship; that is, we configure it
i have created a mssql connection using sqlalchemy : mssql+*turbodbc*
engine,
the script runs properly when it is a .py file , however whenever i
convert the .py file to .exe using pyinstaller --one file , the exe gets
generated successfully , but while executing the exe it fails.
--
Hello, first of all, thnak you for your fast answer.
I was refering to :
>
> A database level ON DELETE cascade is configured effectively on the
> *many-to-one* side of the relationship; that is, we configure it relative
> to the FOREIGN KEY constraint that is the “many” side of a
Hello!
I want to cache query results in a distributed cache (Redis), so I need to
serialize/deserialize fetched entities very fast.
However, it turned that SQLAlchemy entities are very heavy for pickle to
dump/load. Regular classes and dicts with the same structure takes
significantly less
