A library for python made by me,to make the use of MySQL easier and more pythonic

Overview

my_ezql

A library for python made by me,to make the use of MySQL easier and more pythonic

This library was made by Tony Hasson , a 25 year old student of Computer Science.

I made this project because I noticed that I had to use to much SQL queries in Python and that didn't seem right to me,so I wanted to make a library that will Mysql more pythonic and easier to use(hence the name my_ezql).

Feel free to use this library freely and suggest any approvments that come to mind.

Different ways to contact me for any reason ( feel free =] )

linkedIn- https://www.linkedin.com/in/tony-hasson-a14402205/

GitHub- https://github.com/tonyhasson

Thanks for reading and I hope you enjoy the library!


#setup guide

installation:

pip install my_ezql

import

from my_ezql import ezql

A quick guide how to start using the library correctly:

(0) Before you can use this library,you MUST have a Mysql server!

(1) First of all,create a ezql object,this object will contain your database,tables,etc..

for example- ezql_obj=ezql()

(2) Once you've created your ezql object,you need to create a connection with your Mysql server and database ( if you don't have a database yet,skip to (2.1)+(2.2) ).

for example- sql_obj.create_server_connection("host_name","user_name","password","database_name")

host_name- usually 127.0.0.1 
user_name and password- the user name and password for your Mysql server.
database_name- your database name. (duh)

(2.1) In case you didn't create a database yet,first of all create a connection with your Mysql server.

for example- sql_obj.create_server_connection("host_name","user_name","password")
   
host_name- usually 127.0.0.1 
user_name and password- the user name and password for your Mysql server.

(2.2) Now we will create a database in your server,once you create the database,it will automatically restart your connection with the server and with your newly created default database.

for example- sql_obj.create_database("database_name")

database_name- your database name. (duh)

(3) And that's it! you're ready to use the library.


#How to use sql queries in my_ezql?

You have two options,the first option is the same as before,enter a sql string into self.query,and send it to either
self.execute_query/self.read_query depending on the operation.

The second option(which is why I made the library in the first place) is to use Command function,
scroll down to see a full guide on how to use it correctly.

#modify tables functions:

(1)create_table

to create a table simply send the wanted table_name,send the column names with their data type as well,
and there is a default ID that increments itself so no need to create one,but you need a diffrent one you can just
send False to it.
    
code example: sql_obj.create_table("new_table",name="str",age="int")  

(2)delete_table

to delete a table simply send the wanted table_name and that's it!

code example: sql_obj.delete_table("new_table")

(3)clear_table

to delete a table simply send the wanted table_name and that's it!

code example: sql_obj.clear_table("new_table")

(4)copy_table

to copy one table to the other you need to send the name of the table where you want to take data from,and
a table where you want to send your data to,the default is to send all of data from the first table to the second,
but you can change that and only copy the columns by choosing full_or_empty to be False.

PS , if your "to_table" has different columns than "from_table" ,"to_table" will be deleted and created as a new copy of "from_table".

code example: sql_obj.copy_table("from_table","to_table")

#operations in command:

In this summary of operations of command function I will introduce each argument and their meaning/how to use them.

(1) type query- type of sql command:

=20",c1="AND",c2="(",city="(str)=yavne",c3="OR",gender="(str)!=girl",c4=")") in this long example you will select the name and the age where the age is bigger or greater than 80 and (city is yavne or gender is not a girl) (1.2) INSERT- insert lets you insert data to desired columns enter desired columns into col and conditions into conditions, or you can insert the columns and values from conditions and leave col empty. code example: sql_obj.command("insert","new_table1","name","age","city","gender",c1="(str)john",c2="(int)25",c3="(str)new york",c4="(str)boy") in this example, I wrote the columns in col and sent them matching value through conditions(it's important to name them c and then a number). code example: sql_obj.command("insert","test_ezql",age="(int)82",name="(str)idk",city="(str)kfar saba") in this example , age=82,name=idk and city=kfar saba will be entered into test_ezql,here I left col empty and used only conditions. (1.3) UPDATE-update lets you update desired data through choosing their columns and matching with conditions. right now updates only works from entering columns and values through conditions. **(WARNING! if you omit the where argument,the operation will update all of the table!)** code example: sql_obj.command("update","test_ezql",where=True,city="(str)=rehovot",where_cond="where_cond",idnew_table="(int)=11") in this example, you will update city to rehovot where idnew_table is 11,the where_cond separates between the value we want to update to the condition. (1.4) DELETE-delete will delete the row wherever he found a matching value, insert columns and values through conditions. **(WARNING! if you omit the where argument,the operation will delete all of the rows in the table!)** code example: sql_obj.command("delete","test_ezql",where=True,name="(str)=idk") in this example,you will delete every row where the name is idk. ">
     (1.1) SELECT- select lets you select data according to what columns you choose and which conditions.
                   enter desired columns into col and conditions into conditions.
     
         code example: results=sql_obj.command("select","test_ezql","ALL_COL",where=True,pandas_df=True,name="(str)=idk")
         in this example you will select all of the columns where name is idk.
         
         code example:  results=sql_obj.command("select","test_ezql","name","age",pandas_df=True,where=True,age="(int)>=20",c1="AND",c2="(",city="(str)=yavne",c3="OR",gender="(str)!=girl",c4=")")
         in this long example you will select the name and the age where the age is bigger or greater than 80 and (city is yavne or gender is not a girl)
     
     
     
     (1.2) INSERT- insert lets you insert data to desired columns  
     enter desired columns into col and conditions into conditions,
     or you can insert the columns and values from conditions and leave col empty.
        
        code example: sql_obj.command("insert","new_table1","name","age","city","gender",c1="(str)john",c2="(int)25",c3="(str)new york",c4="(str)boy")
        in this example, I wrote the columns in col and sent them matching value through conditions(it's important to name them c and then a number).
              
        code example: sql_obj.command("insert","test_ezql",age="(int)82",name="(str)idk",city="(str)kfar saba")
        in this example , age=82,name=idk and city=kfar saba will be entered into test_ezql,here I left col empty and used only conditions.



     (1.3) UPDATE-update lets you update desired data through choosing their columns and matching with conditions.
                  right now updates only works from entering columns and values through conditions.
                  **(WARNING! if you omit the where argument,the operation will update all of the table!)**
        
        code example: sql_obj.command("update","test_ezql",where=True,city="(str)=rehovot",where_cond="where_cond",idnew_table="(int)=11")
        in this example, you will update city to rehovot where idnew_table is 11,the where_cond separates between the value we want to
        update to the condition. 
        
        
        
     (1.4) DELETE-delete will delete the row wherever he found a matching value,
                  insert columns and values through conditions.
                  **(WARNING! if you omit the where argument,the operation will delete all of the rows in the table!)**
        
          code example: sql_obj.command("delete","test_ezql",where=True,name="(str)=idk")
          in this example,you will delete every row where the name is idk.

(2) table_name

the table_name you want to get/insert data to.
it is important that the table already exists in that database or else the operations won't succeed.

(3) *col

a python *args object that will contain all of the desired columns.
*col is used in SELECT,can be used in INSERT,but is not used in UPDATE and DELETE.
(you can enter '*' or "ALL_COL" if you want to view the data about all of the columns)

(4) pandas

boolean, option to return the result as a pandas dataframe.
this option is defaulted to False,so to activate it simply send True.

(5) where

boolean, lets you use where statement.
this option is defaulted to False,so to activate it simply send True.
used in type_query:select,update and delete.
(see warning about update and delete in numbers (1.3) and (1.4))

(6) **conditions

a python **kwargs object,designed as shown below:

  {col/condition_number:"(data type)(combination of arithmetic signs)desired value"} 
  
  for example :  city="(str)=yavne",age="(int)<20"
  
  if you want to use AND/OR you can write them as one of the objects
  inside condition with the letter c and a number,and in the value enter AND/OR.
  
  for example :  c1="AND"
  
  you can add parenthesis '(' OR ')' the same way you did for AND/OR to make more complex queries.
                   
  (it is IMPORTANT to note that conditions usage varies between different type queries)
New generation PostgreSQL database adapter for the Python programming language

Psycopg 3 -- PostgreSQL database adapter for Python Psycopg 3 is a modern implementation of a PostgreSQL adapter for Python. Installation Quick versio

The Psycopg Team 880 Jan 08, 2023
MySQL Operator for Kubernetes

MySQL Operator for Kubernetes The MYSQL Operator for Kubernetes is an Operator for Kubernetes managing MySQL InnoDB Cluster setups inside a Kubernetes

MySQL 462 Dec 24, 2022
db.py is an easier way to interact with your databases

db.py What is it Databases Supported Features Quickstart - Installation - Demo How To Contributing TODO What is it? db.py is an easier way to interact

yhat 1.2k Jan 03, 2023
Amazon S3 Transfer Manager for Python

s3transfer - An Amazon S3 Transfer Manager for Python S3transfer is a Python library for managing Amazon S3 transfers. Note This project is not curren

the boto project 158 Jan 07, 2023
Python version of the TerminusDB client - for TerminusDB API and WOQLpy

TerminusDB Client Python Development status ⚙️ Python Package status 📦 Python version of the TerminusDB client - for TerminusDB API and WOQLpy Requir

TerminusDB 66 Dec 02, 2022
A simple wrapper to make a flat file drop in raplacement for mongodb out of TinyDB

Purpose A simple wrapper to make a drop in replacement for mongodb out of tinydb. This module is an attempt to add an interface familiar to those curr

180 Jan 01, 2023
Estoult - a Python toolkit for data mapping with an integrated query builder for SQL databases

Estoult Estoult is a Python toolkit for data mapping with an integrated query builder for SQL databases. It currently supports MySQL, PostgreSQL, and

halcyon[nouveau] 15 Dec 29, 2022
Official Python low-level client for Elasticsearch

Python Elasticsearch Client Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Py

elastic 3.8k Jan 01, 2023
GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.

GINO - GINO Is Not ORM - is a lightweight asynchronous ORM built on top of SQLAlchemy core for Python asyncio. GINO 1.0 supports only PostgreSQL with

GINO Community 2.5k Dec 27, 2022
PyRemoteSQL is a python SQL client that allows you to connect to your remote server with phpMyAdmin installed.

PyRemoteSQL Python MySQL remote client Basically this is a python SQL client that allows you to connect to your remote server with phpMyAdmin installe

ProbablyX 3 Nov 04, 2022
MySQL database connector for Python (with Python 3 support)

mysqlclient This project is a fork of MySQLdb1. This project adds Python 3 support and fixed many bugs. PyPI: https://pypi.org/project/mysqlclient/ Gi

PyMySQL 2.2k Dec 25, 2022
Google Cloud Client Library for Python

Google Cloud Python Client Python idiomatic clients for Google Cloud Platform services. Stability levels The development status classifier on PyPI ind

Google APIs 4.1k Jan 01, 2023
Prometheus instrumentation library for Python applications

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

Prometheus 3.2k Jan 07, 2023
PostgreSQL database access simplified

Queries: PostgreSQL Simplified Queries is a BSD licensed opinionated wrapper of the psycopg2 library for interacting with PostgreSQL. The popular psyc

Gavin M. Roy 251 Oct 25, 2022
A pandas-like deferred expression system, with first-class SQL support

Ibis: Python data analysis framework for Hadoop and SQL engines Service Status Documentation Conda packages PyPI Azure Coverage Ibis is a toolbox to b

Ibis Project 2.3k Jan 06, 2023
Pony Object Relational Mapper

Downloads Pony Object-Relational Mapper Pony is an advanced object-relational mapper. The most interesting feature of Pony is its ability to write que

3.1k Jan 04, 2023
MinIO Client SDK for Python

MinIO Python SDK for Amazon S3 Compatible Cloud Storage MinIO Python SDK is Simple Storage Service (aka S3) client to perform bucket and object operat

High Performance, Kubernetes Native Object Storage 582 Dec 28, 2022
SQL queries to collections

SQC SQL Queries to Collections Examples from sqc import sqc data = [ {"a": 1, "b": 1}, {"a": 2, "b": 1}, {"a": 3, "b": 2}, ] Simple filte

Alexander Volkovsky 0 Jul 06, 2022
Redis Python Client - The Python interface to the Redis key-value store.

redis-py The Python interface to the Redis key-value store. Installation | Contributing | Getting Started | Connecting To Redis Installation redis-py

Redis 11k Jan 08, 2023
aiomysql is a library for accessing a MySQL database from the asyncio

aiomysql aiomysql is a "driver" for accessing a MySQL database from the asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of PyM

aio-libs 1.5k Jan 03, 2023