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Change flask sqlite database to postgres how to#
Change flask sqlite database to postgres update#
Change flask sqlite database to postgres free#

I would like to use PostgreSQL, notably for its better performance and safety save provided, but I don't know how to convert my code to work with PostgreSQL instead of SQLite. > ian.save() Inspect after migration - Flask Database.I've started my application by using the Flask tutorial : unfortunately for me, they used all technology that I would use for my project except database, which is SQLite.

Change flask sqlite database to postgres update#

Update the "Stats" Model to includes the new columnĪpp / _init_.py - Update # Import Flaskįrom flask_migrate import Migrate d26f9f5f6e4f, Stats - Added Total_Sales Columnįrom this point, we can use the new field and make a quick test via Flask CLI.

Update app/_init_.py to integrate the migrations.

Add flask_migrate to the requirements.txt file.

Changes required by this phase of the project are listed below: To plain the concept, we will add a new table to the "Stats" table. The meaning of "migration" term in this context is when we modify an existing database by adding a new table or alter an existing table: add/remove columns, change column type.

Change flask sqlite database to postgres free#

To visualize the changes we can use SQLiteBrowser, a free tool to open the SQLite database: SQLite - DB Inspect. In the same way we can add more information: > feb = Stats(id=2, month='Feb', sold_units=480) Now we can use the helper to save the object using a single line: > # Define the new object commit()" we can code a helper inside the model class: # Contents of `app/models.py` To speed up the process and combine "session.

> db.mit() # Save changes in the database > db.session.add(ian) # Add the new object to the DB Session Let's create new records using the CLI: > from app.models import Stats Obviously, we have an empty list - no rows defined so far. Import into the CLI context Stats ORM object.Call create_all() SqlAlchemy helper to create all tables.Invoke db object (SqlAlchemy interface).The above code snippet does the following: |- app/_init_.py # App Constructor > from app import db SQLALCHEMY_DATABASE_URI = 'sqlite:///db.sqlite3'Īpp / _init_.py - App Bootstrapper from flask import FlaskĪpp.om_object('') The database operations are provided as command-line arguments under the flask db command. The library provides useful defaults and extra helpers that make it easier to accomplish common tasks.įlask-Migrate- open-source library that handles database migrations for Flask apps. This library helps us access the database using an object-oriented interface and avoid RAW SQL calls.įlask-SQLAlchemy - is an extension that simplifies the usage of SqlAlchemy in Flask. SqlAlchemy - SQLAlchemy is the Python SQL toolkit and ORM (Object Relational Mapper) used by popular frameworks like Flaks, FastAPI and Django. The coded uses a few popular libraries that make all the hard work for us: SqlAlchemy, Flask-SqlAlchemy, and Flask-Migrate. | |- layouts/ # App Layouts (the master pages) | |- static/ # Assets: JS, images and CSS The project can be downloaded directly from Github and used to experiment with all code samples presented from this point until the latest topic is covered. The new code that implements the database access is added on top of a simple, open-source codebase that serves a few nice pages converted to Jinja Templates. Add a new column and "Migrate" the databaseįlask Database - The Initial Codebase.Add a new table ("Stats") and use Flask CLI to save data.Integrate SqlAlchemy - ORM used to access the information.Add new dependencies - SqlAlchemy, Flask-Migrate.The initial codebase - the starting point.Flask Atlantis Dark - the same UI with more modules and features.Flask Database Sample - source code (MIT License), Github.

For simplicity, SQLite is used but settings can be upgraded with ease to use more powerful DBMS like MySQL or PostgreSQL - the source code for Flask Database Sample can be found on Github. The necessary code is added progressively on top of a simple codebase from zero to the migration phase. This article explains how to configure and connect Flask to an SQLite Database using SqlAchemy as a connection layer.