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Java Garbage Collection Parser written in Python

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Java Garbage Collection parser written in Python

PyPI Latest Release

What is it?

cappuccino is a Python package that provides a way of parsing Java Garbage Collection Logs.

Where to get it

The source code is currently hosted on GitHub at: https://github.com/vidigalp/cappuccino

Binary installers for the latest released version are available at the Python Package Index (PyPI).

# or PyPI
pip install cappuccino

How to Run

python cappuccino <input_directory>

gc_log1.log: 100%|██████████| 93842/93842 [00:00<00:00, 146317.63it/s]
gc_log2.log: 100%|██████████| 89468/89468 [00:00<00:00, 147814.29it/s]
gc_log3.log: 100%|██████████| 84950/84950 [00:00<00:00, 148095.09it/s]
gc_log4.log: 100%|██████████| 89549/89549 [00:00<00:00, 147173.26it/s]
gc_log5.log: 100%|██████████| 86187/86187 [00:00<00:00, 147973.24it/s]
                           count      mean       std   min   25%    50%  \
pause_type                                                                
G1 Evacuation Pause      16348.0  0.040432  0.141196  0.00  0.01  0.020   
G1 Humongous Allocation     34.0  0.228824  0.394222  0.03  0.07  0.105   
GCLocker Initiated GC        1.0  0.040000       NaN  0.04  0.04  0.040   
Metadata GC Threshold       15.0  0.024667  0.010601  0.01  0.02  0.020   

                           75%   max  
pause_type                            
G1 Evacuation Pause      0.030  4.58  
G1 Humongous Allocation  0.200  1.74  
GCLocker Initiated GC    0.040  0.04  
Metadata GC Threshold    0.035  0.04  

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