Hello,
This might be a very simple question to answer, but I am not finding any
suitable benchmark tests so asking on the mailing list.
I want to know if indexing on certain columns impacts the performance of
sqlalchemy?
for example I am using postgresql with python-psycopg2 and mapping all
the
On Mar 13, 2010, at 6:45 PM, Christoph Ludwig wrote:
> Hi,
>
> I have an application that used to work fine with SQLAlchemy
> 0.5.6. With 0.6beta1 I observe commit failures when I try to update
> references in a 1-to-many relationship and delete the then unreferences
> object. I did not see anyt
Hi,
I have an application that used to work fine with SQLAlchemy
0.5.6. With 0.6beta1 I observe commit failures when I try to update
references in a 1-to-many relationship and delete the then unreferences
object. I did not see anything pertinent to this issue in the 0.6
migration guide.
The atta
On Mar 13, 2010, at 7:26 AM, sqlalch...@lists.fastmail.net wrote:
>
> class Period(Base):
>__tablename__ = "period"
>
>id = Column(Integer, primary_key=True)
>date = Column(Date, nullable=False)
>hour = Column(SmallInteger, nullable=False)
>
>__table_args__ = (
>Uni
On Mar 12, 2010, at 10:14 AM, YAD wrote:
> Hello
>
from sqlalchemy import *
engine = create_engine('mysql://root:r...@localhost/sqlalchemy')
meta = MetaData(engine)
tb = Table('account', meta, autoload = True)
tb.append_column(Column('c',String(50)))
>
> this code does
First of all I realise this question might be more of a design choice
question than a technical issue. The issue I am facing is creating a
model reflecting a situation where multiple tables all contain data for
a particular period. This period consists of both a date and an hour,
these two can not
