collapsing-thread-pool-executor-“线程池”是一个与线程池兼容的线程池。-Edward Beech
发布:2020-12-23 14:16:45.497853
做者:Edward Beech
做者邮箱:initialed85@gmail.com
首页:https://github.com/initialed85/collapsing-thread-pool-executor
文档:None
下载连接
CollapsingThreadPoolExecutor
The CollapsingThreadPoolExecutor is inspired by and compatible with the ThreadPoolExecutor from the "futures" module, it operates differently in that worker threads are handled with a stack which results in the same worker or workers doing all the work (and idle workers being destroyed).python
How to install
$ pip install collapsing-thread-pool-executor
How to develop
Prerequisitesgit
- python3 w/ pip
- python2 w/ pip
- virtualenvwrapper
- entr
Set up the environmentsgithub
$ mkvirtualenv -p `which python2.7` collapsing-thread-pool-executor-py2 $ pip install . $ pip install -r requirements.txt $ mkvirtualenv -p `which python3` collapsing-thread-pool-executor-py3 $ pip install . $ pip install -r requirements.txt
Watch the testsapp
# watch python2 tests in one window $ workon collapsing-thread-pool-executor-py2 $ find ./ -name '*.py' | entr -c py.test -v --log-level=DEBUG collapsing_thread_pool_executor # watch python3 tests in one window $ workon collapsing-thread-pool-executor-py3 $ find ./ -name '*.py' | entr -c py.test -v --log-level=DEBUG collapsing_thread_pool_executor
Examples
The example below will execute some_task()
100 times; as some_task()
should take a second to execute and as we've allocated 10 workers, the whole thing should take about 10 seconds.python2.7
import time from collapsing_thread_pool_executor import CollapsingThreadPoolExecutor def some_task(): time.sleep(1) # all arguments are optional pool = CollapsingThreadPoolExecutor( workers=10, thread_name_prefix='SomePool', permitted_thread_age_in_seconds=60, ) for i in range(0, 100): pool.submit(some_task) Copy from pypi.org
查询时间:7.513ms
渲染时间:7.642ms
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