Hello,
I'm following the documentation for reflecting database tables using
`automap`:
http://docs.sqlalchemy.org/en/latest/orm/extensions/automap.html#generating-mappings-from-an-existing-metadata.
When I don't specific a schema, and Postgres uses the default `public`
schema, this works as expected, and I find the names of my tables:
>>> m = MetaData()
>>> b = automap_base(bind=engine, metadata=m)
>>> b.prepare(engine, reflect=True)
>>> b.classes.keys()
['ads', 'spatial_ref_sys', 'income']
But when I specific an explicit schema, I don't have access to the tables
in `Base.classes` anymore.
>>> m = MetaData(schema='geography')
>>> b = automap_base(bind=engine, metadata=m)
>>> b.prepare(engine, reflect=True)
>>> b.classes.keys()
[]
The MetaData reflected correctly though:
>>> b.metadata.tables
immutabledict({geography.usa_cbsa_centroids':
Table('usa_cbsa_centroids',
MetaData(bind=Engine(postgresql://asteroids:***@localhost:5432/asteroids)),
Column('GEOID', VARCHAR(length=5), table=<u
sa_cbsa_centroids>, nullable=False), ...})
Note that the tables and columns are only known at runtime.
Any thoughts?
This is duplicated
from
http://stackoverflow.com/questions/29905160/automap-reflect-tables-within-a-postgres-schema-with-sqlalchemy,
feel free to answer there as well.
Thanks,
Sam
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