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![Exelog: Meticulous logging for Apache Spark](https://raw.githubusercontent.com/Spratiher9/Files/master/xLogs.gif)
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[comment]: <> (![PyPI - Python Version]&#40;https://img.shields.io/pypi/pyversions/exelog&#41;)
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[comment]: <> ([![PyPI]&#40;https://img.shields.io/pypi/v/exelog&#41;]&#40;https://pypi.org/project/exelog/&#41;)
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![PyPI - Python Version](https://img.shields.io/pypi/pyversions/exelog)
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[![PyPI](https://img.shields.io/pypi/v/exelog)](https://pypi.org/project/exelog/)
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# Exelog: Meticulous logging for Apache Spark
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`Exelog` is a refactored logging module that provides a decorator based approach to ensure standard Python logging from
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PySpark Executor nodes also.
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### Installation
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```shell
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pip install exelog
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```
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## Why?
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### _The problem: logging from Spark executors doesn't work with normal logging_

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