spdlog-python

spdlog-python

python wrapper around the fast C++ logger called spdlog

Introduction

Python wrapper (pybind11) around the C++ spdlog logging library.

Why choose spdlog?

https://kjellkod.wordpress.com/2015/06/30/the-worlds-fastest-logger-vs-g3log/

Try running tests/spdlog_vs_logging.py and see what results you get on your system.

spdlog-python vs logging (standard lib)

How many microseconds it takes on average to complete a log function (info(), debug() etc) using a FileLogger. On reasonable sized log messages spdlog takes 4% (async mode enabled) and 6% (sync mode) of the time it would take to complete using the standard logging module.

Async mode with 8MB queue with blocking mode.

msg len (bytes)	spdlog sync (microsec)	spdlog async (microsec)	logging (microsec)
10	1.2	0.87	24.6
100	1.2	1.03	24.6
300	1.5	1.07	24.9
1000	2.4	1.16	26.8
5000	6.2	2.31	31.7
20000	15.3	7.51	48.0

Installation

1. pip install spdlog will get a distribution from pypi.org

or

2. from github:

pip install pybind11 - if missing

git clone https://github.com/bodgergely/spdlog-python.git
cd spdlog-python
git submodule update --init --recursive
python setup.py install

Usage

./python
import spdlog as spd
logger = spd.FileLogger('fast_logger', '/tmp/spdlog_example.log')
logger.set_level(spd.LogLevel.INFO)
logger.info('Hello World!')
logger.debug('I am not so important.')

To run the speed test:

python ./tests/spdlog_vs_logging.py