Multi schema postgres migrations using alembic
Project description
alembic-multischema
This module provides the ability to act on multiple postgres schemas at once when using alembic.
Functions:
perSchema(**kwargs)
Used to decorate the upgrade() and downgrade() functions in a migration. When upgrade or downgrade are decorated with perSchema() the decorated function will be called for a list of schemas in the current database.
kwargs:
- schemas A list of schema names to run the function against. If omitted perSchema() will automatically generate a list of non-system schemas from the current database by using getAllNonSystemSchemas()
- exclude A list of schema names to exclude from running the function against
getAllSchemas()
Returns a list of all schemas in the current database.
kwargs:
- exclude A list of schema names to exclude from running the function against
getAllNonSystemSchemas()
Returns a list of schemas in the current database, omitting information_schema and pg_catalog.
kwargs:
- exclude A list of schema names to exclude from running the function against
Example Usage:
"""CreateUsersTable
Revision ID: a6a219646b55
Revises:
Create Date: 2019-10-16 14:43:11.347575
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import text
from almebic_multischema import perSchema
# revision identifiers, used by Alembic.
revision = 'a6a219646b55'
down_revision = None
branch_labels = None
depends_on = None
@perSchema(schemas=["public", "foo", "bar"])
def upgrade():
users = text(
"""CREATE TABLE users
(
id serial PRIMARY KEY,
firstname VARCHAR (50) UNIQUE,
lastname VARCHAR (50)
);
""")
op.execute(users)
@perSchema(schemas=["public", "foo", "bar"])
def downgrade():
op.execute(text("DROP TABLE users"))
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