Dear all,
I have to create an association object that have to relate elements of
the same table.
These are the table definition:
ligand_table = Table('ligand', metadata,
Column('id', types.Integer, primary_key=True),
Column('number', types.Integer, nullable=False),
Column('name',
On Wed, 23 Nov 2011 10:59:03 +0100
Enrico Morelli more...@cerm.unifi.it wrote:
These are the mappers:
mapper(Ligand, ligand_table,
properties={
'ligand':relationship(LigandLigand,
primaryjoin=and_(ligand_table.c.id==ligand_ligand_table.c.ligand_id1,
On 11/17/2011 01:42 PM, raulna wrote:
Hi,
i need save results in a python object from multiples querys, like:
for user in users:
phones = DBSession.query(Phone).filter('...
python_object = python_object + phones ?
How can i append this results in
if I do
for x in xrange(1):
u = User.query.get(x)
that python process memory up to 70 mb, and after cycle I try do
db.session.close_all()
or
db.session.expire_all()
but process memory not clear and it still 70 mb.
If I working with millions of objects and try clearing memory, it use
On Nov 23, 2011, at 5:20 AM, Enrico Morelli wrote:
On Wed, 23 Nov 2011 10:59:03 +0100
Enrico Morelli more...@cerm.unifi.it wrote:
These are the mappers:
mapper(Ligand, ligand_table,
properties={
'ligand':relationship(LigandLigand,
Python processes in CPython don't release memory back to the OS.
On Nov 23, 2011, at 10:14 AM, lestat wrote:
if I do
for x in xrange(1):
u = User.query.get(x)
that python process memory up to 70 mb, and after cycle I try do
db.session.close_all()
or
On Nov 21, 11:47 am, Michael Bayer mike...@zzzcomputing.com wrote:
I can tell you that there are two trac tickets regarding this functionality,
and this patch in particular has a @compiles recipe that does the basic idea:
http://www.sqlalchemy.org/trac/attachment/ticket/1944/enhance2.py
On Nov 23, 2011, at 6:50 PM, Andrew Buza wrote:
On Nov 21, 11:47 am, Michael Bayer mike...@zzzcomputing.com wrote:
I can tell you that there are two trac tickets regarding this functionality,
and this patch in particular has a @compiles recipe that does the basic idea:
