Hi All
Please excuse this relatively noob question, but I can not for the life of me
find the answer in docs. (Probably because I don't know what I'm looking for).
I have a table with two columns A and B. A can have many duplicate values.
e.g.
A B
1 a
1 b
1 c
1
Hi,
Have you tried:
select A, count(*) from the_table group by A
On Wed, Oct 23, 2013 at 4:17 PM, Warwick Prince
warwi...@mushroomsys.com wrote:
Hi All
Please excuse this relatively noob question, but I can not for the life of me
find the answer in docs. (Probably because I don't know what
Hi Anh
Thanks for clearing my head. I had devised considerably more complex attempts!
So, the answer is;
table.select().group_by(table.c.A).with_only_columns([table.c.A,
func.count(1).label('count')]).execute().fetchall()
:-)
n 23/10/2013, at 7:29 PM, anh le anh...@gmail.com wrote:
Hi,
this has just confused me for a while , and constantly trips me up...
class FirstTable()
__tablename__ = 'first_table'
id = Column(Integer, primary_key=True)
class SecondTable()
__tablename__ = 'second_table'
id = Column(sa.Integer, primary_key=True)
I have a situation where an object in the ORM performs some calculations
and other assorted checks. One of these situations is checking to see the
difference between the original value of an attribute and the current value
-- in particular, some of the validation going on should prohibit a
On Oct 23, 2013, at 8:06 PM, Daniel Grace thisgenericn...@gmail.com wrote:
I have a situation where an object in the ORM performs some calculations and
other assorted checks. One of these situations is checking to see the
difference between the original value of an attribute and the
