I've found some example at
https://stackoverflow.com/questions/21109218/alembic-support-for-multiple-postgres-schemas
But when I run alembic revision --autogenerate -m "Initial upgrade" at
alembic/versions/24648f118be9_initial_upgrade.py I've got no schema='myschema'
keywords on table, indexes, columns items ((
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix='sqlalchemy.',
poolclass=pool.NullPool)
with connectable.connect() as connection:
for schema_name in schema_names.split():
conn = connection.execution_options(schema_translate_map={None:
schema_name})
print("Migrating schema %s" % schema_name)
context.configure(
connection=conn,
target_metadata=target_metadata
)
with context.begin_transaction():
context.run_migrations()
среда, 29 августа 2018 г., 12:12:19 UTC+3 пользователь sector119 написал:
>
> Hello
>
> I have N schemas with the same set of tables, 1 system schema with users,
> groups, ... tables and 6 schemas with streets, organizations, transactions,
> ... tables.
> On those schemas tables I don't set __table_args__ = ({'schema': SCHEMA},)
> I just call dbsession.execute('SET search_path TO system, %s' % SCHEMA)
> before sql queries.
>
> When I make some changes in my model structures I want to refactor table
> in all schemas using Alembic, how can I do that?
> Maybe I can make some loop over my schemas somewhere?
>
>
> Thanks
>
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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