How to update SQLAlchemy row entry?

问题

Assume table has three columns: username, password and no_of_logins.

When user tries to login, it\'s checked for an entry with a query like

user = User.query.filter_by(username=form.username.data).first()

If password matches, he proceeds further. What I would like to do is count how many times the user logged in. Thus whenever he successfully logs in, I would like to increment the no_of_logins field and store it back to the user table. I\'m not sure how to run update query with SqlAlchemy.

回答1:

user.no_of_logins += 1
session.commit()

回答2:

There are several ways to UPDATE using sqlalchemy

1) user.no_of_logins += 1
   session.commit()

2) session.query().\
       filter(User.username == form.username.data).\
       update({"no_of_logins": (User.no_of_logins +1)})
   session.commit()

3) conn = engine.connect()
   stmt = User.update().\
       values(no_of_logins=(User.no_of_logins + 1)).\
       where(User.username == form.username.data)
   conn.execute(stmt)

4) setattr(user, 'no_of_logins', user.no_of_logins+1)
   session.commit()

回答3:

With the help of user=User.query.filter_by(username=form.username.data).first() statement you will get the specified user in user variable.

Now you can change the value of the new object variable like user.no_of_logins += 1 and save the changes with the session's commit method.

回答4:

Examples to clarify the important issue in accepted answer's comments

I didn't understand it until I played around with it myself, so I figured there would be others who were confused as well. Say you are working on the user whose id == 6 and whose no_of_logins == 30 when you start.

# 1 (bad)
user.no_of_logins += 1
# result: UPDATE user SET no_of_logins = 31 WHERE user.id = 6

# 2 (bad)
user.no_of_logins = user.no_of_logins + 1
# result: UPDATE user SET no_of_logins = 31 WHERE user.id = 6

# 3 (bad)
setattr(user, 'no_of_logins', user.no_of_logins + 1)
# result: UPDATE user SET no_of_logins = 31 WHERE user.id = 6

# 4 (ok)
user.no_of_logins = User.no_of_logins + 1
# result: UPDATE user SET no_of_logins = no_of_logins + 1 WHERE user.id = 6

# 5 (ok)
setattr(user, 'no_of_logins', User.no_of_logins + 1)
# result: UPDATE user SET no_of_logins = no_of_logins + 1 WHERE user.id = 6

The point

By referencing the class instead of the instance, you can get SQLAlchemy to be smarter about incrementing, getting it to happen on the database side instead of the Python side. Doing it within the database is better since it's less vulnerable to data corruption (e.g. two clients attempt to increment at the same time with a net result of only one increment instead of two). I assume it's possible to do the incrementing in Python if you set locks or bump up the isolation level, but why bother if you don't have to?

A caveat

If you are going to increment twice via code that produces SQL like SET no_of_logins = no_of_logins + 1, then you will need to commit or at least flush in between increments, or else you will only get one increment in total:

# 6 (bad)
user.no_of_logins = User.no_of_logins + 1
user.no_of_logins = User.no_of_logins + 1
session.commit()
# result: UPDATE user SET no_of_logins = no_of_logins + 1 WHERE user.id = 6

# 7 (ok)
user.no_of_logins = User.no_of_logins + 1
session.flush()
# result: UPDATE user SET no_of_logins = no_of_logins + 1 WHERE user.id = 6
user.no_of_logins = User.no_of_logins + 1
session.commit()
# result: UPDATE user SET no_of_logins = no_of_logins + 1 WHERE user.id = 6

回答5:

I wrote telegram bot, and have some problem with update rows. Use this example, if you have Model

def update_state(chat_id, state):
    try:
        value = Users.query.filter(Users.chat_id == str(chat_id)).first()
        value.state = str(state)
        db.session.flush()
        db.session.commit()
        #db.session.close()
    except:
        print('Error in def update_state')

Why use db.session.flush()? That's why >>> SQLAlchemy: What's the difference between flush() and commit()?

来源：https://stackoverflow.com/questions/9667138/how-to-update-sqlalchemy-row-entry

标签

python

sqlalchemy

flask-sqlalchemy