This other question says how to use the OVER clause on sqlalchemy:
Using the OVER window function in SQLAlchemy
But how to do that using ORM? I have something like:
q = self.session.query(self.entity, func.count().over().label('count_over'))
This fails when I call q.all()
with the following message:
sqlalchemy.exc.InvalidRequestError:
Ambiguous column name 'count(*) OVER ()' in result set! try 'use_labels' option on select statement
How can I solve this?
All SELECT statements generated by SQLAlchemy ORM are constructed by Query object. It provides a generative interface, hence successive calls return a new Query object, a copy of the former with additional criteria and options associated with it.
If you want to view your data in a more schema-centric view (as used in SQL), use Core. If you have data for which business objects are not needed, use Core. If you view your data as business objects, use ORM. If you are building a quick prototype, use ORM.
4) Applications In addition to this, since it interacts directly with the database, you can simply run the queries against the database without actually using the ORM. Plus, SQLAlchemy is much more powerful than Django, albeit with a little higher learning curve.
A scalar subquery is a subquery that selects only one column or expression and returns one row. A scalar subquery can be used anywhere in an SQL query that a column or expression can be used.
You have the over
syntax almost correct, it should be something like this:
import sqlalchemy
q = self.session.query(
self.entity,
sqlalchemy.over(func.count()).label('count_over'),
)
Example from the docs:
from sqlalchemy import over
over(func.row_number(), order_by='x')
SQLAlchemy Query object has with_entities
method that can be used to customize the list of columns the query returns:
Model.query.with_entities(Model.foo, func.count().over().label('count_over'))
Resulting in following SQL:
SELECT models.foo AS models_foo, count(*) OVER () AS count_over FROM models
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