How to serialize SqlAlchemy result to JSON?
Django has some good automatic serialization of ORM models returned from DB to JSON format.
Django has some good automatic serialization of ORM models returned from DB to JSON format.
I’m using SQLalchemy for a Python project, and I want to have a tidy connection string to access my database. So for example:
How do you execute raw SQL in SQLAlchemy?
I want to get an object from the database if it already exists (based on provided parameters) or create it if it does not.
Could anyone explain the difference between filter and filter_by functions in SQLAlchemy?
Which one should I be using?
There is DataFrame.to_sql method, but it works only for mysql, sqlite and oracle databases. I cant pass to this method postgres connection or sqlalchemy engine.
The new version of SQLite has the ability to enforce Foreign Key constraints, but for the sake of backwards-compatibility, you have to turn it on for each database connection separately!
marshmallow is an ORM/ODM/framework-agnostic library for converting
complex datatypes, such as objects, to and from native Python
datatypes.
I would like to send a large pandas.DataFrame to a remote server running MS SQL. The way I do it now is by converting a data_frame object to a list of tuples and then send it away with pyODBC’s executemany() function. It goes something like this:
I’d really like to be able to print out valid SQL for my application, including values, rather than bind parameters, but it’s not obvious how to do this in SQLAlchemy (by design, I’m fairly sure).