def count(self):
""" Get a count of the number of distinct objects. """
q = select(from_obj=self.join(self.alias))
q = self.filter(q, partial=True)
q = q.column(func.count(func.distinct(self.alias.c.id)).label('num'))
rp = db.session.execute(q)
return rp.fetchone().num
def count(self):
""" Get a count of the number of distinct objects. """
q = select(from_obj=self.join(self.alias))
q = self.filter(q, partial=True)
q = q.column(func.count(func.distinct(self.alias.c.id)).label('num'))
rp = db.session.execute(q)
return rp.fetchone().num
def num_entries(self, conditions="1=1"):
""" Return the count of entries on the dataset fact table having the
dimension set to a value matching the filter given by ``conditions``.
"""
query = select([func.count(func.distinct(self.column_alias))],
conditions)
rp = self.dataset.bind.execute(query)
return rp.fetchone()[0]
def num_entries(self, conditions="1=1"):
""" Return the count of entries on the model fact table having the
dimension set to a value matching the filter given by ``conditions``.
"""
query = select([func.count(func.distinct(self.column_alias))],
conditions)
rp = self.model.bind.execute(query)
return rp.fetchone()[0]
def allUpdatesSeriesSource():
A = db.sequence_series2_updates.alias(name="A")
series = db.connection.execute( sql.select((func.distinct(A.c.source),)).where(
A.c.dummy_id > args.start_from_id) ).fetchall()
# yield 505 # test only
for s in [x[0] for x in series]:
yield s
def get_column_values(for_column, selected_region=None):
"""
Let's get the unique distinct values from column in
our database, optionally filtering by query string.
"""
value_query = db.session.query(
func.distinct(getattr(Breweries, for_column)))
if selected_region is not None:
value_query = value_query.filter(Breweries.region == selected_region)
values = sorted([x[0] for x in value_query.all()])
return values
