python wrapper around the fast C++ logger called spdlog

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.

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.

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

./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