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33![ Exelog: Meticulous logging for Apache Spark] ( https://raw.githubusercontent.com/Spratiher9/Files/master/xLogs.gif )
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7- [ comment ] : < > ( [ ; ]( ; https://pypi.org/project/exelog/) ; )
5+ ![ PyPI - Python Version] ( https://img.shields.io/pypi/pyversions/exelog )
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98# Exelog: Meticulous logging for Apache Spark
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1312` Exelog ` is a refactored logging module that provides a decorator based approach to ensure standard Python logging from
1413PySpark Executor nodes also.
1514
15+ ### Installation
16+
17+ ``` shell
18+ pip install exelog
19+ ```
20+
1621## Why?
1722
1823### _ The problem: logging from Spark executors doesn't work with normal logging_
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