Hello, I’m working on migrating my existing code to the updated APIs. My class definitions for tables before looked like this:
class MyTable(Base): __tablename__ = ‘my_table’ __table_args__ = {'autoload' : True, 'schema' : ‘my_schema’} I’m trying to implement declarative mapping via reflected tables, as described here: https://docs.sqlalchemy.org/en/14/orm/declarative_tables.html#mapping-declaratively-with-reflected-tables This is my new code: engine = create_engine(“postgresql:…") metadata = MetaData() metadata.reflect(bind=dbc.engine, schema='my_schema’) class MyTable(Base): __table__ = Table(name=‘my_table', schema=‘my_schema', metadata=metadata, autoload_with=engine) This is the (truncated) error I’m getting: AttributeError: 'Table' object has no attribute '_columns' > /usr/custom/anaconda/lib/python3.7/site-packages/sqlalchemy/sql/selectable.py(747)columns() 745 self._init_collections() 746 self._populate_column_collection() --> 747 return self._columns.as_immutable() 748 749 @property Is there more that’s needed to be done to define the class? I can create a MWE, but thought I’d check to see if I’m missing something new. Related to this, I currently pickle my metadata to reuse since the schema changes infrequently. When I have this, I use: metadata = <load from pickle> class MyTable(Base): __table__ = metadata.tables[‘my_schema.my_table’] Will this still work? Although from what I read from the docs, I wondered if I can use the Table(…) line above unchanged in this case as Metadata won’t go to the server if the 'schema.table’ is in the class? Cheers, Demitri -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sqlalchemy/027BCB9A-B700-457A-8A6A-2217C6927A0E%40gmail.com.