memray python 内存profiler 工具简单试用

memray python 内存profiler 工具，功能还是很强大的，以下是一个简单使用

参考使用

• 安装

pip install memray

• 支持的cli

usage: memray [-h] [-v] [-V] {run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach} ...

 

Memory profiler for Python applications

 

Run `memray run` to generate a memory profile report, then use a reporter command

such as `memray flamegraph` or `memray table` to convert the results into HTML.

 

Example:

 

    $ python3 -m memray run -o output.bin my_script.py

    $ python3 -m memray flamegraph output.bin

 

positional arguments:

  {run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach}

                        Mode of operation

    run                 Run the specified application and track memory usage

    flamegraph          Generate an HTML flame graph for peak memory usage

    table               Generate an HTML table with all records in the peak memory usage

    live                Remotely monitor allocations in a text-based interface

    tree                Generate a tree view in the terminal for peak memory usage

    parse               Debug a results file by parsing and printing each record in it

    summary             Generate a terminal-based summary report of the functions that allocate most memory

    stats               Generate high level stats of the memory usage in the terminal

    transform           Generate reports files in different formats

    attach              Begin tracking allocations in an already-started process

    detach              End the tracking started by a previous ``memray attach`` call

 

options:

  -h, --help            show this help message and exit

  -v, --verbose         Increase verbosity. Option is additive and can be specified up to 3 times

  -V, --version         Displays the current version of Memray

 

Please submit feedback, ideas, and bug reports by filing a new issue at

https://github.com/bloomberg/memray/issues

• 参考使用

// 生成结果数据

python -m memray run -o output.bin app.py

// 通过火焰图查看数据

python -m memray flamegraph output.bin

• 效果

说明

memray 与以前介绍的scalene 都是很不错的工具，对于性能分析场景，都值得试用下

参考资料

https://github.com/bloomberg/memray