Reputation: 123
There are two tables
Tbl1 = Table(
'tbl_1', metadata,
Column('id', Integer, primary_key=True),
Column('user_id', Integer, ForeignKey('user.id'), nullable=False),
...other columns
)
and
Tbl2 = Table(
'tbl_2', metadata,
Column('id', Integer, primary_key=True),
Column('user_id', Integer, ForeignKey('user.id'), nullable=False),
...other columns
)
I want to count all data in both tables for one user.
q1 = Tbl1.count().where(Tbl1.c.user_id == some_id)
q2 = Tbl2.count().where(Tbl2.c.user_id == some_id)
union = q1.union(q2).alias('uni')
query = sqlalchemy.select([sqlalchemy.func.sum(union.c.tbl_row_count)], from_obj=union)
And question is - how to set a column name for union count column, instead of looking thrue the internals? union.c.tbl_row_count i saw only in debug mode.
Second try was:
import sqlalchemy as sa
q1 = sa.select([sa.func.count(Tbl1.c.id).alias('cnt')]).where(Tbl1.c.user_id == some_id)
q2 = sa.select([sa.func.count(Tbl2.c.id).alias('cnt')]).where(Tbl2.c.user_id == some_id)
union = q1.union(q2).alias('uni')
But in that case internal name for column was uni.c.count_1
Upvotes: 12
Views: 6591
Reputation: 77072
Indeed, it is better to be in control of naming in such cases. See code below for code which should produce SQL
identical to what you have right now:
q1 = select([func.count(Tbl1.c.id).label("xxx")]
).where(Tbl1.c.user_id == some_id)
q2 = select([func.count(Tbl2.c.id).label("xxx")]
).where(Tbl2.c.user_id == some_id)
union = q1.union(q2).alias('uni')
query = select([func.sum(union.c.xxx).label("total_xxx")], from_obj=union)
Upvotes: 16