UserTable is:
id (INT)
name (STR)
last_login (DATETIME)
Serving a web page request i have a user id in hand and I only wish to update the last_login field to 'now'.
It seems to me that there are 2 ways:
issue a direct SQL using db_engine (losing the mapper)
OR query the user first and then update the object
Both work fine but look quite disgusting in code.
Is anyone aware of a more elegant way of doing an update-with-no-query using sqlalchemy? Is there another ORM who has got this right?
Thanks
Assuming you have a mapper UserTable in place:
DBSession.query(UserTable).filter_by(id = user_id).\
update({"last_login":datetime.datetime.now()}, synchronize_session=False)
Additional parameters in the docs.
Related
I'm using the (awesome) Peewee ORM for my database needs and I now constructed a query as follows:
OauthCI.select().where(OauthCI.oauth.user.id == 2)
So OauthCI has a ForeignKeyField called oauth, which points to a table which in turn has a ForeignKeyField which is called user. Unfortunately, this gives me an error saying: AttributeError: 'ForeignKeyField' object has no attribute 'user'.
Does anybody know how I can select all records from OauthCI which has a oauth with a user with an id of 2? All tips are welcome!
Your intuition is good but unfortunately peewee does not work that way right now. Here is how you do it instead:
OauthCI.select().join(Oauth).join(User).where(User.id == 2)
I am trying to analyse the SQL performance of our Django (1.3) web application. I have added a custom log handler which attaches to django.db.backends and set DEBUG = True, this allows me to see all the database queries that are being executed.
However the SQL is not valid SQL! The actual query is select * from app_model where name = %s with some parameters passed in (e.g. "admin"), however the logging message doesn't quote the params, so the sql is select * from app_model where name = admin, which is wrong. This also happens using django.db.connection.queries. AFAIK the django debug toolbar has a complex custom cursor to handle this.
Update For those suggesting the Django debug toolbar: I am aware of that tool, it is great. However it does not do what I need. I want to run a sample interaction of our application, and aggregate the SQL that's used. DjDT is great for showing and shallow learning. But not great for aggregating and summarazing the interaction of dozens of pages.
Is there any easy way to get the real, legit, SQL that is run?
Check out django-debug-toolbar. Open a page, and a sidebar will be displayed with all SQL queries plus other information.
select * from app_model where name = %s is a prepared statement. I would recommend you to log the statement and the parameters separately. In order to get a wellformed query you need to do something like "select * from app_model where name = %s" % quote_string("user") or more general query % map(quote_string, params).
Please note that quote_string is DB specific and the DB 2.0 API does not define a quote_string method. So you need to write one yourself. For logging purposes I'd recommend keeping the queries and parameters separate as it allows for far better profiling as you can easily group the queries without taking the actual values into account.
The Django Docs state that this incorrect quoting only happens for SQLite.
https://docs.djangoproject.com/en/dev/ref/databases/#sqlite-connection-queries
Have you tried another Database Engine?
Every QuerySet object has a 'query' attribute. One way to do what you want (I accept perhaps not an ideal one) is to chain the lookups each view is producing into a kind of scripted user-story, using Django's test client. For each lookup your user story contains just append the query to a file-like object that you write at the end, for example (using a list instead for brevity):
l = []
o = Object.objects.all()
l.append(o.query)
We're trying to enable a SQL query front-end to our Web application, which is WSGI and uses Python, with SQLAlchemy (core, not ORM) to query a PostgreSQL database. We have several data layer functions set up to assist in query construction, and we are now trying to set something up that allows this type of query:
select id from <table_name> where ... limit ...
In the front end, we have a text box which lets the user type in the where clause and the limit clause, so that the data can be queried flexibly and dynamically from the front end, that is, we want to enable ad hoc querying. So, the only thing that we now firsthand is:
select id from <table_name>
And the user will type in, for example:
where date > <some_date>
where location is not null limit 10 order by location desc
using the same back end function. The select, column and table should be managed by the data layer (i.e. it knows what they are, and the user should not need to know that). However, I'm not aware of any way to get SQLAlchemy to automatically parse both the where clause and the limit clause automatically. What we have right now is a function which can return the table name and the name of the id column, and then use that to create a text query, which is passed to SQLAlchemy, as the input to a text() call.
Is there any way I can do this with SQLAlchemy, or some other library? Or is there a better pattern of which I should be aware, which does not involve parsing the SQL while still allowing this functionality from the front-end?
Thanks a lot! All suggestions will be greatly appreciated.
I'm not sure I follow, but the general SQL-Alchemy usage is like:
results = db.session.query(User).filter(User.name == "Bob").order_by(User.age.desc()).limit(10)
That will query the User table to return the top ten oldest members named "Bob"
UserTable is:
id (INT)
name (STR)
last_login (DATETIME)
Serving a web page request i have a user id in hand and I only wish to update the last_login field to 'now'.
It seems to me that there are 2 ways:
issue a direct SQL using db_engine (losing the mapper)
OR query the user first and then update the object
Both work fine but look quite disgusting in code.
Is anyone aware of a more elegant way of doing an update-with-no-query using sqlalchemy? Is there another ORM who has got this right?
Thanks
Assuming you have a mapper UserTable in place:
DBSession.query(UserTable).filter_by(id = user_id).\
update({"last_login":datetime.datetime.now()}, synchronize_session=False)
Additional parameters in the docs.
I have an SQL query thats runs on the Postgres database of my Django based webapp. The query runs against the data stored by Django-Notifications (a reusable app) and returns a list of email addresses that have not opted out of a specific notice type.
What I would really like to be able to do is to build an application that does this on demand, so I'm looking for an example of how to convert the SQL so it can run inside a Django view that will pass out a formatted email list. The SQL is currently thus:
gr_webapp=# select email from emailconfirmation_emailaddress where verified and user_id not in
(select user_id from notification_noticesetting s join notification_noticetype t on s.notice_type_id = t.id
where t.label = 'announcement' and not s.send);
You might have to make appropriate adjustments as far as model names go, since you didn't show them in your question:
users_to_exclude = Noticesetting.objects.filter(send=False, notice_type__label='announcement').values('user')
emails = Emailaddress.objects.exclude(user__in=users_to_exclude)