Performance test generator, part of Quality Gate
Project description
QGate-Perf
Performance test generator part of Quality Gate.
Usage
from qgate_perf.parallel_executor import ParallelExecutor
from qgate_perf.parallel_probe import ParallelProbe
from qgate_perf.run_setup import RunSetup
from qgate_perf.run_return import RunReturn
import time
def prf_GIL_impact(run_return: RunReturn, run_setup: RunSetup):
""" Function for performance testing"""
try:
# INIT - contain executor synchonization, if needed
probe=ParallelProbe(run_setup)
while (True):
# START - probe, only for this specific code part
probe.start()
for r in range(run_setup.bulk_row * run_setup.bulk_col):
time.sleep(0)
# STOP - probe
if probe.stop():
break
# RETURN - data from probe
run_return.probe=probe
except Exception as ex:
# RETURN - error
run_return.probe=ParallelProbe(None, ex)
generator = ParallelExecutor(prf_GIL_impact,
label="GIL_impact",
detail_output=True,
output_file="prf_gil_impact_01.txt")
generator.run_bulk_executor(bulk_list=[[1, 1]],
executor_list=[[16, 1, '1x thread'], [8, 2, '2x threads'],[4, 4,'4x threads']],
run_setup=RunSetup(duration_second=20,start_delay=0))
Outputs in text file
############### 2023-05-05 06:30:36.194849 ###############
{"type": "headr", "label": "GIL_impact", "bulk": [1, 1], "available_cpu": 12, "now": "2023-05-05 06:30:36.194849"}
{"type": "core", "plan_executors": 4, "plan_executors_detail": [4, 1], "real_executors": 4, "group": "1x thread", "total_calls": 7590439, "avrg_time": 1.4127372338382197e-06, "std_deviation": 3.699171006877347e-05, "total_call_per_sec": 2831382.8673804617, "endexec": "2023-05-05 06:30:44.544829"}
{"type": "core", "plan_executors": 8, "plan_executors_detail": [8, 1], "real_executors": 8, "group": "1x thread", "total_calls": 11081697, "avrg_time": 1.789265660825848e-06, "std_deviation": 4.164309967620533e-05, "total_call_per_sec": 4471107.994274894, "endexec": "2023-05-05 06:30:52.623666"}
{"type": "core", "plan_executors": 16, "plan_executors_detail": [16, 1], "real_executors": 16, "group": "1x thread", "total_calls": 8677305, "avrg_time": 6.2560950624827455e-06, "std_deviation": 8.629422798757681e-05, "total_call_per_sec": 2557505.8946835063, "endexec": "2023-05-05 06:31:02.875799"}
{"type": "core", "plan_executors": 8, "plan_executors_detail": [4, 2], "real_executors": 8, "group": "2x threads", "total_calls": 2761851, "avrg_time": 1.1906723084757647e-05, "std_deviation": 0.00010741937495211329, "total_call_per_sec": 671889.3135459893, "endexec": "2023-05-05 06:31:10.283786"}
{"type": "core", "plan_executors": 16, "plan_executors_detail": [8, 2], "real_executors": 16, "group": "2x threads", "total_calls": 3605920, "avrg_time": 1.858694254439209e-05, "std_deviation": 0.00013301637613377212, "total_call_per_sec": 860819.3607844017, "endexec": "2023-05-05 06:31:18.740831"}
{"type": "core", "plan_executors": 16, "plan_executors_detail": [4, 4], "real_executors": 16, "group": "4x threads", "total_calls": 1647508, "avrg_time": 4.475957498576462e-05, "std_deviation": 0.00020608402170105327, "total_call_per_sec": 357465.41393855185, "endexec": "2023-05-05 06:31:26.008649"}
############### Duration: 49.9 seconds ###############
Outputs in text file with detail
############### 2023-05-05 07:01:18.571700 ###############
{"type": "headr", "label": "GIL_impact", "bulk": [1, 1], "available_cpu": 12, "now": "2023-05-05 07:01:18.571700"}
{"type": "detail", "processid": 12252, "calls": 1896412, "total": 2.6009109020233154, "avrg": 1.371490426143325e-06, "min": 0.0, "max": 0.0012514591217041016, "st-dev": 3.6488665183545995e-05, "initexec": "2023-05-05 07:01:21.370528", "startexec": "2023-05-05 07:01:21.370528", "endexec": "2023-05-05 07:01:26.371062"}
{"type": "detail", "processid": 8944, "calls": 1855611, "total": 2.5979537963867188, "avrg": 1.4000530264084008e-06, "min": 0.0, "max": 0.001207590103149414, "st-dev": 3.6889275786419565e-05, "initexec": "2023-05-05 07:01:21.466496", "startexec": "2023-05-05 07:01:21.466496", "endexec": "2023-05-05 07:01:26.466551"}
{"type": "detail", "processid": 2108, "calls": 1943549, "total": 2.6283881664276123, "avrg": 1.3523652691172758e-06, "min": 0.0, "max": 0.0012514591217041016, "st-dev": 3.624462003401045e-05, "initexec": "2023-05-05 07:01:21.709203", "startexec": "2023-05-05 07:01:21.709203", "endexec": "2023-05-05 07:01:26.709298"}
{"type": "detail", "processid": 19292, "calls": 1973664, "total": 2.6392557621002197, "avrg": 1.3372366127670262e-06, "min": 0.0, "max": 0.0041027069091796875, "st-dev": 3.620965943471147e-05, "initexec": "2023-05-05 07:01:21.840541", "startexec": "2023-05-05 07:01:21.840541", "endexec": "2023-05-05 07:01:26.841266"}
{"type": "core", "plan_executors": 4, "plan_executors_detail": [4, 1], "real_executors": 4, "group": "1x thread", "total_calls": 7669236, "avrg_time": 1.3652863336090071e-06, "std_deviation": 3.645805510967187e-05, "total_call_per_sec": 2929788.3539391863, "endexec": "2023-05-05 07:01:26.891144"}
...
Graphs generated from qgate-graph based on text files from qgate-perf
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
qgate_perf-0.2.0-py3-none-any.whl
(16.1 kB
view hashes)
Close
Hashes for qgate_perf-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d5fc6d91f17ba2e1c63d44c6c19e765bb5cc80144081a0019647d8561aa6a833 |
|
MD5 | a5f53f182555363cccb73f29ce4bb407 |
|
BLAKE2b-256 | 02462e7d59a7951c222f7d48b5a2a2063f6174abd161f39d9dbb7f61c98ee89c |