pyspark-connectors 0.3.0

The easy and quickly way to connect and integrate the Spark project with many others data sources.

PySpark Conectors - by: Eleflow BigData

This library provides many connections and integrations with another data sources.

Index

• PySpark Conectors - by: Eleflow BigData
  • Index
  • Installing
  • Development enviroment
    • Packaging project in a .whl lib
  • Library development status
    • Connectors
    • Helpers and Utils
  • Version history

Installing

pip install pyspark-connectors

Development enviroment

For develop you must guarantee that you have the Python (3.8 or higher) and Spark (3.1.2 or higher) installed, if you have ready the minimum environment for development in Python language, proceed with these steps:

# Clonning the project
$ git clone [e-mail]:eleflow/pyspark-connectors.git

# Inside of the project root folder
$ python -m venv .env

# If Windows
$ .\.env\Script\Activate.ps1 
# If linux dist
$ .\.env\Scripts\activate

# Installing requirements libraries
(.env) $ pip install -r .\requirements.txt

Packaging project in a .whl lib

# Installing wheel package
(.env) $ pip install wheel

# Installing wheel contents
(.env) $ pip install check-wheel-contents

# Build and packaging project to .whl
(.env) $ python setup.py bdist_wheel

Library development status

Connectors

• Google Sheets
• Rest API
• SQL Database
• CosmosDB
• Elasticsearch
• PipeDrive
• ActiveCampaign
• ReclameAqui
• Jira

Helpers and Utils

• AWS Secrets Manager

Version history

Version	Date	Changes	Notes	Approved by
0.0.1a2	2022-05-08	Initial development release	N/A	@caiodearaujo
0.1.0	2022-06-01	Initial release	N/A	@caiodearaujo
0.2.0	2022-07-28	New release with connectors stable	N/A	@caiodearaujo
0.3.0	2024-06-10	Fix - Pipedrive Person Service	N/A	@cehira