In order to handle a growing database table, we are sharding on table name. So we could have database tables that are named like this:
table_md5one
table_md5
OK, we went with the custom SQLAlchemy declaration rather than the declarative one.
So we create a dynamic table object like this:
from sqlalchemy import MetaData, Table, Column
def get_table_object(self, md5hash):
metadata = MetaData()
table_name = 'table_' + md5hash
table_object = Table(table_name, metadata,
Column('Column1', DATE, nullable=False),
Column('Column2', DATE, nullable=False)
)
clear_mappers()
mapper(ActualTableObject, table_object)
return ActualTableObject
Where ActualTableObject is the class mapping to the table.