Skip to main content

Operator Based Relational Database Management system for python

Project description

Static Badge Static Badge

BivittatusDB: Operator-Based Relational Database Management System

This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.

Features

  • Operator-based operations: The database operates using operators such as +, -, and == to manipulate data.
  • Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
  • Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
  • Indexing: Efficient data retrieval with indexing mechanisms.
  • Transaction Management: Implements transaction management to ensure data consistency.
  • Security: All databases are asymmetrically encrypted with a user defined password for each database.

Installation

To install this, use the following command, as the latest commit could (and probably does) have a few errors, but the last stable release is working (as far as we know):

git clone https://github.com/HarbingerOfFire/bivittatusDB/releases/tag/v1.0.0.0

Examples

See the examples directory and wiki for examples off different operations.

Usage

  1. clone the repo and cd into the BivitattusDB directroy
  2. Import bivittatusDB into your python file/interpreter.
  3. Follow the information from the wiki for more info on specific usage

Dependencies

The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.

pip install -r .github/requirements.txt

Contributing

Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct

License

This project is licensed under the MIT License.

This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.

Known Issues:

Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bivittatusdb-1.0.0.0.tar.gz (10.3 kB view details)

Uploaded Source

Built Distribution

bivittatusDB-1.0.0.0-py3-none-any.whl (13.4 kB view details)

Uploaded Python 3

File details

Details for the file bivittatusdb-1.0.0.0.tar.gz.

File metadata

  • Download URL: bivittatusdb-1.0.0.0.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for bivittatusdb-1.0.0.0.tar.gz
Algorithm Hash digest
SHA256 35d55c3eca2c505fbf558722e7b15d88a011dd3b57077deec12401438f965790
MD5 ae8f21106256e906653268b32a22a906
BLAKE2b-256 1918e9d32e3637931ac88f46df90a53c999210ddcfaf17c48b13cacbb83673ee

See more details on using hashes here.

File details

Details for the file bivittatusDB-1.0.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for bivittatusDB-1.0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 564ae42a6eb83e6208789f0b92454726ea71e57af2a7205a6f98d7eb18452188
MD5 ffaab8cc45cb855adf9aa767b02f92ca
BLAKE2b-256 ea6527a50a3e3a58bccf3716435dadd52a8181fd75600122b4eda548e9d63b77

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page