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This library helps you run MYSQL queries as fast as possible 🚄🔥!

Project description

ctpysql

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cautious-pysql

CTpysql helps you to code mysql queries as fast as possible 🚄🔥

Usage

Installation

Use pip install ctpysql to install the ctpysql and it's dependencies on your pc (or venv).

import module with:

from ctpysql import ctpysql

to use it in your project.

How it works?

You may import mysql.connector to work with ctpysql, just use:

from mysql.connector import (connection, Error)

and make a connection like this:

cnx = connection.MySQLConnection(user='root', password='password', host='127.0.0.1', database='db')

then make an object from ctpysql class using this connection:

obj = ctpysql(cnx)

after these steps you are able to use this library correctly, for example, insert query using dictionary values:

obj.insert('users', {'username': 'user1', 'password': 'password1'})

Supported queries

supported queries at this version (they will be more soon):


Mysql insert query (rowid return):

insert('table', {dictionary values})


Mysql table truncate query:

truncate('table')


Mysql select query (object return):

fetch('table', 'case [all or one]', 'type [dic or None]', **data)

Example: fetch('users', 'one', None, id=3)


Mysql update query (affected rows count return):

update('table', 'condition column name', 'condition column value', **data)

Example: update('users', 'username', usernameVar, password=123, email=a@a.com)


Mysql delete query (deleted rows count return):

delete('table', 'condition column name', 'condition value')


Mysql drop query ("Success" or error return):

drop('case', 'name')

Example: drop('table', 'product')

Example2: drop('view', '[mysql queries]')


Mysql order by query (fetched items return):

order('table', **data(column1="order like ASC", column2="order like DESC"))

Example: order('products', name="ASC", id="DESC")


Mysql create table query ("Success" or error return):

create_table('table name', **data)

Example: create_table('users', id="INT AUTO_INCREMENT PRIMARY KEY", name="VARCHAR(255)")

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