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
Given a metadata file with relevant schema, an SQL Engine can be run for a subset of SQL queries.

Mini-SQL-Engine Given a metadata file with relevant schema, an SQL Engine can be run for a subset of SQL queries. The query engine supports Project, A

Prashant Raj 1 Dec 03, 2021
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
pickleDB is an open source key-value store using Python's json module.

pickleDB pickleDB is lightweight, fast, and simple database based on the json module. And it's BSD licensed! pickleDB is Fun import pickledb

Harrison Erd 738 Jan 04, 2023
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
A super easy, but really really bad DBMS

Dumb DB Are you looking for a reliable database management system? Then you've come to the wrong place. This is a very small database management syste

Elias Amha 5 Dec 28, 2022
Simple json type database for python3

What it is? Simple json type database for python3! What about speed? The speed is great! All data is stored in RAM until saved. How to install? pip in

3 Feb 11, 2022
MyReplitDB - the most simplistic and easiest wrapper to use for replit's database system.

MyReplitDB is the most simplistic and easiest wrapper to use for replit's database system. Installing You can install it from the PyPI Or y

kayle 4 Jul 03, 2022
Metrics-advisor - Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation.

metrics-advisor Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation. Team freedeaths mashenjun

3 Jan 07, 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
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
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
A Persistent Embedded Graph Database for Python

Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im

Arun Mahendra 214 Dec 30, 2022
A Modular MWDB Utility to Collect Fresh Malware Samples

MWDB Feeds A Modular MWDB Utility to Collect Fresh Malware Samples This project is FREE as in FREE 🍺 , use it commercially, privately or however you

c3rb3ru5 32 Jul 07, 2022
A NoSQL database made in python.

CookieDB A NoSQL database made in python.

cookie 1 Nov 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
A Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library

gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g

Neo Technology 101 Jan 05, 2023
Makes google's political ad database actually useful

Making Google's political ad transparency library suck less This is a series of scripts that takes Google's political ad transparency data and makes t

The Guardian 7 Apr 28, 2022
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
Decentralised graph database management system

Decentralised graph database management system To get started clone the repo, and run the command below. python3 database.py Now, create a new termina

Omkar Patil 2 Apr 18, 2022
Python function to query SQLite files stored on S3

sqlite-s3-query Python function to query a SQLite file stored on S3. It uses multiple HTTP range requests per query to avoid downloading the entire fi

Michal Charemza 189 Dec 27, 2022