Converting SQLAlchemy Row Objects to Python Dictionaries
When working with SQLAlchemy, you may encounter situations where you need to convert row objects into Python dictionaries. This can be particularly useful for iterating over column name-value pairs or passing row data to external applications.
Using SQLAlchemy's Internal Dictionary
One approach to converting a SQLAlchemy row object to a dictionary is by accessing its internal dict attribute. This attribute holds a dictionary-like representation of the object's attributes. To use this approach, simply iterate over the dict attribute:
for u in session.query(User).all(): print(u.__dict__)
This will output a dictionary containing the column names and values for each row.
Using SQLAlchemy's Marshal Library
Alternatively, SQLAlchemy provides the marshal library, which offers methods for converting SQLAlchemy objects to different formats, including dictionaries. The following code demonstrates how to use marshal.to_dict() to convert User objects to dictionaries:
from sqlalchemy.ext import marshal for u in session.query(User).all(): print(marshal.to_dict(u))
This method will produce a dictionary with a key for each column name and a value for each column value.
Note: The use of marshal.to_dict() requires SQLAlchemy version 0.6 or higher. If you are using an earlier version, you can use the dict attribute instead.
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