https://github.com/pietrogiuffrida/sqlantipathy

Python facilities to easily work with SQL databases
https://github.com/pietrogiuffrida/sqlantipathy

mssql mysql oracle pyodbc python sql

Last synced: about 1 month ago
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Python facilities to easily work with SQL databases

• Host: GitHub
• URL: https://github.com/pietrogiuffrida/sqlantipathy
• Owner: pietrogiuffrida
• License: gpl-3.0
• Created: 2019-07-13T11:42:08.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-12-07T12:48:18.000Z (over 5 years ago)
• Last Synced: 2025-06-14T16:19:08.332Z (about 1 year ago)
• Topics: mssql, mysql, oracle, pyodbc, python, sql
• Language: Python
• Homepage:
• Size: 50.8 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# sqlantipathy

Python facilities to work with SQL databases

Ok, I don't love work with SQL databases. But the world works with SQL, then...

During last years I wrote lot of function to work with MSSQL, MySQL, Oracle, SQLite...


This project represent my personal attempt to systematize experiences, code,

and approaches in few useful classes.

Of course sqlalchemy is a sort of *de facto* standard in python/SQL approach, but in my opinion it is not so simple and not ever

backward compatibility is guaranteed with pyodbc and other low level libraries.

At this moment master branch only implements MSSQL routines.

MySQL and Oracle rootines will be added as soon as possible.

# Installation

Install sqlantipathy is as easy as run

```pip install sqlantipathy```.

# Usage

A more accurate description of methods included in

sqlantipathy will follow. By now, you can refers

to main.py file content:

```python

#!/usr/bin/env python3

# -*- coding: utf-8 -*-

from sqlantipathy import MssqlAntipathy

import pandas as pd

if __name__ == '__main__':

    sql = MssqlAntipathy(

        hostname="sql_hostname",

        user="sql_user",

        password="sql_pwd",

        driver="sql_driver_name"

    )

    sql.connect()

    database_list = sql.show_databases()

    sql.use_database("mydb")

    mydb_tables = sql.show_tables()

    qry = """SELECT TOP 100 * FROM TABLENAME"""

    data = sql.retrieve("sql_input_db", qry)

    list_of_dict = sql.retrieve_table("sql_input_db", qry)

    df = pd.DataFrame(list_of_dict)

    

    tables = sql.show_tables(dbname='mydb')

    

    sql_exit_code = sql.bulk_insertion(

        list_of_columns=column_names,

        data_as_dict=list_of_dict,

        dbname="mydb",

        table_name="mytable",

        commit_every=15000,

        record_each_statement=500,

    )

    

    sql_exit_code = sql.insert_one(

        table_name="mytable",

        values=dictionary_of_values,

        dbname="mydb"

    )

    sql.close_connection()

    # A lot of code after...

    sql.connect()

    sql.cursor.execute("""A SIMPLE QUERY""")

    raw_data = sql.cursor.fetchall()

```