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توضیحات

Benchmark resources usage

ویژگی	مقدار
سیستم عامل	-
نام فایل	bench-2.8
نام	bench
نسخه کتابخانه	2.8
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Xiaowei Zhan
ایمیل نویسنده	zhanxw@gmail.com
آدرس صفحه اصلی	http://zhanxw.com/bench
آدرس اینترنتی	https://pypi.org/project/bench/
مجوز	UNKNOWN

Monitor Process Resources Usage =============================== | Bench aims to be a handy tool with these functions: | - Monitor CPU time (user time, system time, real time) | - Monitor memory usage (virtual memory usage, resident memory usage) | - Output to TSV(tab-delimited files) | - Output benchmark metrics | - Visualize performance metrics (memory consumptions) over time Examples ======== We showed several examples below. **Please note that all output are tabularized for demonstration purpose.** - Example 1: simple command. | This will start the process *sleep* for 2 seconds. The tabular output below was from the actual command: ``monitor.py sleep 2 2>&1 |column -t -s $'\t'``. | If you simply run ``monitor.py sleep 2``, you will get tab-deliminated outputs in standard error (stderr). :: $> monitor.py sleep 2 pid ppid utime stime rtime rss vms maxRss maxVms avgRss avgVms cwd cmd 133692 133675 0.0 0.0 1.9368159771 774144 6066176 774144 6066176 774144.0 6066176.0 /home/zhanxw/mycode/bench/scripts sleep 2 - Example 2: complex shell commands with sampling interval equaling to 0.1 second This example will use shell to start 3 processes: ``sleep 2``, ``sleep 4`` and ``seq 1000000``. You can see bench can monitor all 4 processes all together. :: $> monitor.py sh -c 'sleep 2 & sleep 4 & seq 1000000 >/dev/null & wait' pid ppid utime stime rtime rss vms maxRss maxVms avgRss avgVms cwd cmd 135004 134985 0.0 0.0 3.9532430172 798720 4558848 798720 4558848 798720.0 4558848.0 /home/zhanxw/mycode/bench/scripts sh -c sleep 2 & sleep 4 & seq 10000000 >/dev/null & wait 135006 135004 0.0 0.0 3.95348381996 655360 6066176 655360 6066176 655360.0 6066176.0 /home/zhanxw/mycode/bench/scripts sleep 4 135005 135004 0.0 0.0 1.83160495758 774144 6066176 774144 6066176 774144.0 6066176.0 /home/zhanxw/mycode/bench/scripts sleep 2 135007 135004 0.05 0.0 0.0599648952484 720896 6090752 720896 6090752 720896.0 6090752.0 /home/zhanxw/mycode/bench/scripts seq 10000000 - Example 3: generate performance metrics to external file Here we used a small program, burnCpu. It will keep CPU running for several seconds. Its source code is under src/. The option ``-t`` will enable outputting traces. That means at several time stops, performance metrics of each processes will be outputted to the standard error as well as a separate comma-separated file, ``$prefix.trace.csv``. The option ``-g`` will generate a graph which contains several sub-figures, including timings for each processes, memory consumption for each processes, and memory consumption over the processing running time. The option ``-o`` will specify the output prefix. The default value will be ``bench``, meaning, you will get ``bench.csv``. You can overwrite this value by using ``-o`` option. :: $> monitor.py -t -g -o burnCpu ./burnCpu pid ppid utime stime rtime rss vms cwd cmd 135471 135454 0.04 0.0 0.0441780090332 1449984 12984320 /home/zhanxw/mycode/bench/scripts ../src/burnCpu 135471 135454 0.2 0.0 0.205282926559 1449984 12984320 /home/zhanxw/mycode/bench/scripts ../src/burnCpu 135471 135454 0.38 0.0 0.381079912186 1449984 12984320 /home/zhanxw/mycode/bench/scripts ../src/burnCpu ... Additional result are stored in *burnCpu.csv*, *burnCpu.trace.csv* in the Comma-separated format (CSV). *burnCpu.csv* file content :: pid,ppid,utime,stime,rtime,rss,vms,maxRss,maxVms,avgRss,avgVms,cwd,cmd 144433,144416,5.4,0.0,5.40555810928,1404928,12984320,1404928,12984320,1404928.0,12984320.0,/home/zhanxw/mycode/bench/scripts,../src/burnCpu *burnCpu.trace.csv* file content :: pid,ppid,utime,stime,rtime,rss,vms,cwd,cmd 144433,144416,0.03,0.0,0.0423669815063,1404928,12984320,/home/zhanxw/mycode/bench/scripts,../src/burnCpu 144433,144416,0.19,0.0,0.20046210289,1404928,12984320,/home/zhanxw/mycode/bench/scripts,../src/burnCpu 144433,144416,0.36,0.0,0.373480081558,1404928,12984320,/home/zhanxw/mycode/bench/scripts,../src/burnCpu ... When ``-g`` optioned is specified, bench will generate several performance metrics in the file *burnCpu.trace.csv*: |image| Notes ===== | To benchmark a complex command or combinations of commands, you can use shell (sh or bash) . For example, you can use "sh -c 'command arg1 arg2 ... '" (see Example 2). | Bench requires `psutil <https://pypi.python.org/pypi/psutil>`__ to collect basic performance metrics, and | requires `numpy <http://www.numpy.org/>`__ and `pandas <http://pandas.pydata.org/>`__ for statistical calculations. | In this release, we used psutil 3.1.1, numpy 1.8.2, pandas 0.16.2 and matplotlib 1.4.3. Contact ======= | For questions or commend, please visit bench github repo: | `repo <https://github.com/zhanxw/bench>`__ | or email to: | Xiaowei Zhan .. |image| image:: http://zhanxw.com/bench/burnCpu.png

نحوه نصب

نصب پکیج whl bench-2.8:

pip install bench-2.8.whl

نصب پکیج tar.gz bench-2.8:

pip install bench-2.8.tar.gz