Improving the development of Spark applications deployed as jobs on AWS services like Glue and EMR
Project description
Table of content
What is the sparksnake library?
The sparksnake library provides an easy, fast, and efficient way to use Spark features inside analytics services on AWS. With sparksnake, it is possible to use classes, methods and functions developed in pyspark to simplify, as much as possible, the journey of building Spark applications along all the particularities found in AWS services, such as Glue and EMR, for example.
Do you want to take your job Glue or your EMR cluster to the next level? Take a look at sparksnake!
Note Now the sparksnake library has an official documentation in readthedocs! Visit the following link and check out usability technical details, practical examples and more!
Features
- 🤖 Simplification of building Spark applications with already coded classes and methods
- 🌟 Consolidation of most common functionalities involving ETL processes in pyspark
- ⚙️ Abstraction of the whole process of setting up a Job Glue with one line of code
- 👁️🗨️ Application observability improvement with detailed log messages in CloudWatch
- 🛠️ Exception handling processes already embedded in library methods
Contacts
References
Python
Docs
- Eduardo Mendes - Live de Python 189 - MkDocs
- MkDocs
- pmdown-extensions
- GitHub - MkDocs Themes
- GitHub - Material Theme for MkDocs
- Material for MkDocs - Setup
Github
- GitHub Actions - pypa/gh-action-pypi-publish
- Medium - Major, Minor and Patch
- Medium - Automate PyPI Releases with GitHub Actions
Tests
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sparksnake-0.1.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 244ddcaa11df23d749ba423820229778a4845cfbb0803b0be000750c9ab0abb5 |
|
MD5 | ee937e6bc2f0a6f7d12402a305b7b371 |
|
BLAKE2b-256 | 1f9de57e77638c7db67d7305eac54db73c061363dcf8113effe5953f4c48c4f1 |