Quanto Magis

Spark engine for data processing based on Go using Kubernetes
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

This project is a simple example of how to use Go to create a Spark-like engine for data processing. The main goal is to create a simple and fast engine for data processing using Kubernetes. The project is in the early stage of development and is not ready for production use.

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Built With

• 

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• GO website => https://go.dev/doc/install

Installation

1. Clone the repo

   git clone https://github.com/mkubasz/quanto-magis.git

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Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

	session := NewQuantoSession().GetOrCreate()
	data := []interface{}{[]interface{}{"A", "B", "C"}, []interface{}{"D", "E"}}

	rdd := session.Parallelize(data)
	result := rdd.FlatMap(lowerCase)
    // result = [a, b, c, d, e]

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Features

• Quanto Session - a session for data processing for a specific core
• RDD - Resilient Distributed Dataset
• DataFrame - a distributed collection of data organized into named columns

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Architecture

Link to architecture

Notes

My journey learning tech.

GO Notes

License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Mateusz Kubaszek - @MateuszKubaszek - [email protected]

Project Link: https://github.com/mkubasz/quanto-magis

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