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
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 not work properly, it
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__ = (
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
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 anything
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
