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How to execute a query in Flask-SQLAlcheny?
The following models are available:
task_results = db.Table('task_results',
db.Model.metadata,
db.Column('task_id', db.Integer, db.ForeignKey('tasks.id')),
db.Column('account_id', db.Integer, db.ForeignKey('account_details.id')))
class Task(db.Model):
__tablename__ = 'tasks'
id = db.Column(db.Integer, primary_key=True)
accounts = db.relationship('AccountDetail', secondary=brut_task_results)
class AccountDetail(db.Model):
__tablename__ = 'account_details'
id = db.Column(db.Integer, primary_key=True)
SELECT * FROM tasks WHERE (SELECT COUNT(*) FROM task_results WHERE tasks.id = task_results.task_id) < 100
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For the sake of interest, look towards
docs.peewee-orm.com/en/latest/peewee/querying.html#counting-records Tweet.select().where(Tweet.id > 50).count()50
also https:/ /stackoverflow.com/questions/40725044/peewe...
Perhaps the answer is here sqlalchemy.org .havingq = session.query(User.id).\ join(User.addresses).\ group_by(User.id).\ having(func.count(Address.id) > 2)
but something doesn’t work to make the request what you need))
how-to-count-rows-with-select-with-sqlalchemy
free sql functions course about count, sum sqlalchemy core ampus.datacamp.com courses introduction-to-relatio...
# Import func from sqlalchemy import func # Build a query to select the state and count of ages by state: stmt stmt = select([census.columns.state, func.count(census.columns.age)]) # Group stmt by state stmt = stmt.group_by(census.columns.state) # Execute the statement and store all the records: results results = connection.execute(stmt).fetchall() # Print results print(results) # Print the keys/column names of the results returned print(results[0].keys())
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