alembic | A database migrations tool for SQLAlchemy | SQL Database library
kandi X-RAY | alembic Summary
kandi X-RAY | alembic Summary
A database migrations tool for SQLAlchemy.
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Top functions reviewed by kandi - BETA
- Compares all indexes and uniques and unique constraints
- Check for duplicate constraints
- Run the name filters
- Runs the filter on the object
- Generate a revision
- Generate a new revision
- Render a migration script
- Return a Script instance from a script directory
- Compares two foreign keys
- Modify a column
- Collects a list of revisions that should be dropped
- Return a set of all of the targets of the given upgrade target
- Alters a column
- Compares two migrations
- Alter a column
- Create a ScriptDirectory from the given configuration
- Return the revision map
- Show revision history
- Stamps a revision
- Return the string representation of a column
- Run migrations on all databases
- Generate a table
- Begin a new transaction
- Gather the elements from the table
- Add an index operation
- Downgrade a given revision
alembic Key Features
alembic Examples and Code Snippets
Lines of Code : 9License : Permissive (MIT)
Copy# Run
alembic revision --autogenerate -m "add_happy_dog"
# Somethig like `YYYY-MM-DD-....py` will appear in `/alembic/versions` folder
alembic upgrade head
# (...)
# INFO [alembic.runtime.migration] Running upgrade cefce371682e -> 038f530b0e9b from sqlalchemy.schema import Sequence
my_seq_1 = Sequence("my_sequence_1")
add_sequence_to_model(my_seq_1, target_metadata)
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.create_sequence('my_sequence_1', **{'sc """create the organization table."""
# revision identifiers, used by Alembic.
revision = 'eced083f5df'
down_revision = 'beafc7d709f'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.create_table(
'organization',
sa Community Discussions
Trending Discussions on alembic
QUESTION
I'd like to create a PostgreSQL CHECK constraint that is marked as NOT VALID, yet I don't see a way to create such constraint in alembic or declare it using SQLAlchemy.
It looks like SQLAlchemy added support for introspection of NOT VALID constraints, but not the other way around: https://github.com/sqlalchemy/sqlalchemy/commit/3980a9a455d08c5073cabc3c2b77de46fa36d7b4 .
Is there a way to do that? Or is the feature just missing and I need to manually write the SQL statements with alembic?
...ANSWER
Answered 2022-Mar-11 at 13:46Support for declaring NOT VALID constraints in PostgreSQL dialect was added in SQLAlchemy 1.4.32. Such constraint can be declared by setting postgresql_not_valid dialect option to True:
QUESTION
Using SQLModel how to get alembic to recognise the below model?
...ANSWER
Answered 2021-Sep-05 at 13:35There should be info about that in Advanced user guide soon with better explanation than mine but here is how I made Alimbic migrations work.
First of all run alembic init migrations in your console to generate migrations folder. Inside migrations folder should be empty versions subfolder,env.py file, script.py.mako file.
In script.py.mako file we should add line import sqlmodel somewhere around these two lines
QUESTION
I am using alembic for database revisions pretty much as intended probably. Instead of defining the database string in alembic.ini, I am using the env.py file to dynamically get the database credentials from the config module, pretty much as follows:
ANSWER
Answered 2022-Feb-26 at 23:05I found a solution myself, its actually quite simple. When calling the upgrade command from the test fixture, I set two additional config values as follows:
QUESTION
I have project where I'm using SQLAlchemy for models and I'm trying to integrate Alembic for making migrations. Everything works as expected when I change models and Alembic sees that models have changed -> it creates good migration file with command:
alembic revision --autogenerate -m "model changed"
But when I have NOT changed anything in models and I use the same command:
alembic revision --autogenerate -m "should be no migration"
revision gives me 'empty' revision file like this:
...ANSWER
Answered 2021-Dec-02 at 17:42To answer this question we need to understand how the alembic works.
Basically when you run alembic revision it creates a revision and holds revisionid and down_revision then line them like a queue... And if you check your database you see the latest revision id in the alembic_version table.
Each revision needs a file to handle the migrations so you cant have a revision without it's related file... Because how then alembic can auto migrate to the latest revision from base when rebuilding the project ? it's like a missing piece of puzzle.
So long story short No you can't have a revision without a file related to it.
P.S. About Django and other frameworks, they have a pretty powerful migration script so it handles the migrations. In this case the framework's migrator inspect your models file and see there are no changes so it creates no revisions! That's why you don't see any change not in migrations folder and not in alembic_version table of your database.
QUESTION
I'm exploring a new DDD project using SQLAlchemy and Alembic for the first time. I'd like to use imperative mapping to isolate my domain objects. All the doc I can find about auto generating migrations with Alembic is using declarative mapping. Is it because I have to manually write all migrations if I want to use imperative mapping ?
...ANSWER
Answered 2022-Feb-02 at 18:03I had to import the metada of the Table I manually defined
QUESTION
I am relatively new to FASTAPI but decided to setup a project with Postgres and Alembic. I managed to get the migrations create new versions everytime i use an automigrate, but for some reason I do not get any updates from my models, alas they stay blank. I am kind of lost what is going wrong.
Main.py
...ANSWER
Answered 2022-Feb-01 at 21:32In my case I used Transformer BERT model to deploy on FastApi, but fastapi wasnt able to recognise my model, as well as not taking the Model inputs and outputs. Code I used for my Case:
QUESTION
Based on the posts I've seen this is the most common way to point the alembic.ini sqlalchemy.url to a desired db path in the alembic env.py file
...ANSWER
Answered 2022-Jan-18 at 07:55I would suggest using dotenv (pip install python-dotenv) like so:
QUESTION
I've tried simply removing the unique=True constraint and running
ANSWER
Answered 2022-Jan-04 at 12:27Flask-Migrate, or rather Alembic, will not autodetect anonymous constraints. But you can create a manual Alembic migration file to drop the constraint.
Create an empty migration file:
QUESTION
I am working on an application using sqlalchemy, postgres and alembic.
The project structure is as follows:
ANSWER
Answered 2021-Dec-27 at 16:32Is this the expected behavior or it has something to do with my architecture?
This is the expected behavior. Command alembic revision --autogenerate always creates a new migration file. If no changes exist than it creates an empty one.
You can use alembic-autogen-check to check if your migrations is in sync with models.
QUESTION
I have an Airflow application running on Kubernetes that is using Vault as a secret backend. Recently I manage to move my config value sql_alchemy_conn to the Vault as it contains password for the user.
I can see that it is fetching the value from secret backend and able to connect to database and run migration job.
But since then I cannot deploy the rest of the application because all other resources are stuck in the init container wait-for-airflow-migrations.
I am using the official helm chart to deploy the application and this is the python code that it uses to check if the migrations are run
ANSWER
Answered 2021-Jul-29 at 13:08I made it work (for now) by manually fetching the config value from Vault backend and creating the engine, instead of using settings.engine.connect(). Here is my wait-for-migration-command template
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install alembic
You can use alembic like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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