Connect Django Project to PostgreSQL

Related tags

Databasedb-project
Overview

Connect Django Project to PostgreSQL

1 - Install django, psycopg2

pip install django
pip install psycopg2

After installing these requirements, you need to connect Django project to the new database.

2 - Create Database and Insert Data

In postgres in query tools run this command:

DROP DATABASE IF EXISTS "Ashoori_97149068";
CREATE DATABASE "Ashoori_97149068"
    WITH 
    OWNER = postgres
    ENCODING = 'UTF8'
    LC_COLLATE = 'English_United States.1252'
    LC_CTYPE = 'English_United States.1252'
    TABLESPACE = pg_default
    CONNECTION LIMIT = -1;

and then with opening "Query tools" of Ashoori_97149068's database run all the create and insert query in +create_and_data.sql".


3 - Set username and password in setting.py

Into the config > setting.py and to the DATABASE section, set the database config like this format:

you need to change the < > and < > of this section to your own information

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql_psycopg2',
        'NAME': 'Ashoori_97149068',
        'OPTIONS': {
        'options': '-c search_path=public'
    },
        'USER': '<
   
    >'
   ,
        'PASSWORD': '<
   
    >'
   ,
        'HOST': 'localhost',
        'PORT': '',
    }
}

After doing above steps Django is connected to the database.

4- Adding requirement tables for log in to the Django-admin:

by running migrate command django automatically create its requirements table into database:

python manage.py migrate

Now the Django’s requirement tables are created and we should create a superuser to can Log in to the Django admin:

python manage.py createsuperuser

and fill the requirement with fake info. and then log in with that info.

Explain Queries

All Queries Are in all > admin.py

1 - SELECT all Student that their mark >= 10:

= 10 """ )">
Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            WHERE mark >= 10
                            """
                            )

2 - SELECT all Student that their mark < 10:

Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            WHERE mark < 10
                            """
                            )

3 - SELECT all Student that their balance > 70: We should get balance from Students table so we should join participated and students to get access balance:

70 """ )">
Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            natural join students
                            WHERE balance > 70
                            """
                            )

4 - UPDATE Mark in Participated table:

with connection.cursor() as c:
            c.execute("""
            UPDATE participated
            SET mark = 9.99
            WHERE mark IS NOT NULL 
                AND mark < 10
            """)

5 - UPDATE Mark in Participated table:

with connection.cursor() as c:
            c.execute("""
            UPDATE participated
            SET mark = mark + 1
            WHERE mark BETWEEN 10 AND 19
            """)

6 - SELECT username of Students table:

def sql_username(self, obj):
        p = Students.objects.raw(f"""
        SELECT *
        FROM students
        Where stu_id = '{obj.stu_id}'
        limit 1
        """)[0]
        return f"{p.username}"

In admin.py also you can see more similar example.

Full Name Student Number
Mohammad Hosein Ashoori 97149068
Owner
Cena Ashoori
● Software Engineering Student (B.SC.) ● Experienced in Full-Stack Development (Django|Flutter) ● AI/ML Enthusiast
Cena Ashoori
Tools for analyzing Git history using SQLite

git-history Tools for analyzing Git history using SQLite Installation Install this tool using pip: $ pip install git-history Usage This tool can be r

Simon Willison 128 Jan 02, 2023
Oh-My-PickleDB is an open source key-value store using Python's json module.

OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python 📝 Table of Contents About Getting Started Deployme

Adrián Toral 6 Feb 20, 2022
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database.

AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* 💸

Oren Leung 42 Nov 25, 2022
Youtube Kanalinda tanittigim ve Programladigim SQLite3 ile calisan Kütüphane Programi

SQLite3 Kütüphane Uygulamasi SQLite3 ile calisan Kütüphane Arayüzü Yükleme Yerel veritabani olusacaktir. Yaptiginiz islemler kaybolmaz! Temel Gereksin

Mikael Pikulski 6 Aug 13, 2022
PathfinderMonsterDatabase - A database of all monsters in Pathfinder 1e, created by parsing aonprd.com

PathfinderMonsterDatabase A database of all monsters in Pathfinder 1e, created by parsing aonprd.com Setup Run the following line to install all requi

Yoni Lerner 11 Jun 12, 2022
A Painless Simple Way To Create Schema and Do Database Operations Quickly In Python

PainlessDB - Taking Your Pain away to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : PainlessDB is a Python-based free and open-

Aiden Ellis 3 Jul 15, 2022
Manage your sqlite database very easy (like django) ...

Manage your sqlite database very easy (like django) ...

aWolver 1 Feb 09, 2022
Simple embedded in memory json database

dbj dbj is a simple embedded in memory json database. It is easy to use, fast and has a simple query language. The code is fully documented, tested an

Pedro Gonring 25 Aug 12, 2022
Postgres full text search options (tsearch, trigram) examples

postgres-full-text-search Postgres full text search options (tsearch, trigram) examples. Create DB CREATE DATABASE ftdb; To feed db with an example

Jarosław Orzeł 97 Dec 30, 2022
LightDB is a lightweight JSON Database for Python

LightDB What is this? LightDB is a lightweight JSON Database for Python that allows you to quickly and easily write data to a file Installing pip3 ins

Stanislaw 14 Oct 01, 2022
Code for a db backend that relies on bash tools (grep, cat, echo, etc)

Simple-nosql-db is a python backend for a database that relies on unix tools such as cat, echo and grep. Funny enough I got the idea from this discuss

Sebastian Alonso 10 Aug 13, 2019
Shelf DB is a tiny document database for Python to stores documents or JSON-like data

Shelf DB Introduction Shelf DB is a tiny document database for Python to stores documents or JSON-like data. Get it $ pip install shelfdb shelfquery S

Um Nontasuwan 35 Nov 03, 2022
LaikaDB, banco de dados para projetos simples.

LaikaDB LaikaDB é um banco de dados noSQL para uso local e simples, onde você pode realizar gravações e leituras de forma eficiente e simples. Todos o

Jaedson Silva 0 Jun 24, 2022
This is a simple graph database in SQLite, inspired by

This is a simple graph database in SQLite, inspired by "SQLite as a document database".

Denis Papathanasiou 1.2k Jan 03, 2023
A simple GUI that interacts with a database to keep track of a collection of US coins.

CoinCollectorGUI A simple gui designed to interact with a database. The goal of the database is to make keeping track of collected coins simple. The G

Builder212 1 Nov 09, 2021
ClutterDB - Extremely simple JSON database made for infrequent changes which behaves like a dict

extremely simple JSON database made for infrequent changes which behaves like a dict this was made for ClutterBot

Clutter Development 1 Jan 12, 2022
TelegramDB - A library which uses your telegram account as a database for your projects

TelegramDB A library which uses your telegram account as a database for your projects. Basic Usage from pyrogram import Client from telegram import Te

Kaizoku 79 Nov 22, 2022
This repo contains the backend of the KMK project

KMK Backend This repository contains the backend part of the KMK project Demo Watch it on Youtube Getting started Pre-commit hooks After you cloned th

21 Nov 26, 2022
Elara DB is an easy to use, lightweight NoSQL database that can also be used as a fast in-memory cache.

Elara DB is an easy to use, lightweight NoSQL database written for python that can also be used as a fast in-memory cache for JSON-serializable data. Includes various methods and features to manipula

Saurabh Pujari 101 Jan 04, 2023
A fast ordered NoSQL database.

MerkavaDB Note This is still in active development. Things will change. If you are interested in helping out, or would like to see any particular feat

Adam Hopkins 6 Sep 29, 2022