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