mirror of
https://github.com/FirebirdSQL/firebird-qa.git
synced 2025-01-22 21:43:06 +01:00
128 lines
4.2 KiB
Python
128 lines
4.2 KiB
Python
#coding:utf-8
|
|
|
|
"""
|
|
ID: issue-7092
|
|
ISSUE: https://github.com/FirebirdSQL/firebird/issues/7092
|
|
TITLE: Performance degradation with CURRENT_DATE, LOCALTIME and LOCALTIMESTAMP
|
|
DESCRIPTION:
|
|
Test uses two procedures:
|
|
* one with loop for integer values that does nothing more, and
|
|
* second with same loop but with three statements from ticket (on every iteration).
|
|
|
|
Duration is measured as difference between psutil.Process(fb_pid).cpu_times() counters.
|
|
We do these measures <N_MEASURES> times for each SP, and each result is added to the list
|
|
which, in turn, is the source for median evaluation.
|
|
Finally, we get ratio between minimal and maximal medians (see 'median_ratio')
|
|
On Windows 8.1 usually this ratio is about 1.67 (before fix it was more than 50).
|
|
|
|
Test is considered as passed if median_ratio less than threshold <MAX_RATIO>.
|
|
NOTES:
|
|
Confirmed problem on:
|
|
4.0.1.2699 (01-jan-2022): median ratio was 50 ... 51 (17.01 vs 0.34)
|
|
5.0.0.362 (01-jan-2022): median ratio was 51 ... 55 (19.91 vs 0.36)
|
|
Checked on 6.0.0.195, 5.0.0.1305, 4.0.5.3049.
|
|
Scope of median ratio values: 1.65 ... 1.77
|
|
"""
|
|
|
|
import psutil
|
|
import pytest
|
|
from firebird.qa import *
|
|
|
|
#--------------------------------------------------------------------
|
|
def median(lst):
|
|
n = len(lst)
|
|
s = sorted(lst)
|
|
return (sum(s[n//2-1:n//2+1])/2.0, s[n//2])[n % 2] if n else None
|
|
#--------------------------------------------------------------------
|
|
|
|
###########################
|
|
### S E T T I N G S ###
|
|
###########################
|
|
|
|
# How many times we call procedures:
|
|
N_MEASURES = 15
|
|
|
|
# How many iterations must be done:
|
|
N_COUNT_PER_MEASURE = 1000000
|
|
|
|
# Maximal value for ratio between maximal and minimal medians
|
|
#
|
|
MAX_RATIO = 4
|
|
##############
|
|
|
|
init_script = \
|
|
f'''
|
|
set term ^;
|
|
create procedure sp_check_loop(a_limit int)
|
|
as
|
|
declare v_current_date date;
|
|
declare v_localtime time;
|
|
declare v_localtimestamp timestamp;
|
|
declare n int = 1;
|
|
begin
|
|
while (n < a_limit) do
|
|
begin
|
|
n = n + 1;
|
|
v_current_date = current_date;
|
|
v_localtime = localtime;
|
|
v_localtimestamp = localtimestamp;
|
|
end
|
|
end
|
|
^
|
|
create procedure sp_dummy_loop(a_limit int)
|
|
as
|
|
declare n int = 1;
|
|
begin
|
|
while (n < a_limit) do
|
|
begin
|
|
n = n + 1;
|
|
end
|
|
end
|
|
^
|
|
commit
|
|
^
|
|
'''
|
|
|
|
db = db_factory(init = init_script)
|
|
act = python_act('db')
|
|
|
|
expected_stdout = """
|
|
Medians ratio: acceptable
|
|
"""
|
|
|
|
@pytest.mark.version('>=4.0.2')
|
|
def test_1(act: Action, capsys):
|
|
|
|
with act.db.connect() as con:
|
|
cur=con.cursor()
|
|
cur.execute('select mon$server_pid as p from mon$attachments where mon$attachment_id = current_connection')
|
|
fb_pid = int(cur.fetchone()[0])
|
|
|
|
sp_time = {}
|
|
for i in range(0, N_MEASURES):
|
|
for sp_name in ('sp_check_loop', 'sp_dummy_loop'):
|
|
fb_info_init = psutil.Process(fb_pid).cpu_times()
|
|
cur.callproc( sp_name, (N_COUNT_PER_MEASURE,) )
|
|
fb_info_curr = psutil.Process(fb_pid).cpu_times()
|
|
sp_time[ sp_name, i ] = max(fb_info_curr.user - fb_info_init.user, 0.000001)
|
|
|
|
|
|
sp_ctime_median = median([v for k,v in sp_time.items() if k[0] == 'sp_check_loop'])
|
|
sp_dummy_median = median([v for k,v in sp_time.items() if k[0] == 'sp_dummy_loop'])
|
|
#----------------------------------
|
|
median_ratio = sp_ctime_median / sp_dummy_median
|
|
|
|
print( 'Medians ratio: ' + ('acceptable' if median_ratio <= MAX_RATIO else '/* perf_issue_tag */ POOR: %s, more than threshold: %s' % ( '{:9g}'.format(median_ratio), '{:9g}'.format(MAX_RATIO) ) ) )
|
|
if median_ratio > MAX_RATIO:
|
|
print('CPU times for each of {N_MEASURES} measures:')
|
|
for k,v in sp_time.items():
|
|
print(k,':::',v)
|
|
print(f'Median cpu time for {N_MEASURES} measures using loops for {N_COUNT_PER_MEASURE} iterations in each SP call:')
|
|
print('sp_ctime_median:',sp_ctime_median)
|
|
print('sp_dummy_median:',sp_dummy_median)
|
|
print('median_ratio:',median_ratio)
|
|
|
|
act.expected_stdout = expected_stdout
|
|
act.stdout = capsys.readouterr().out
|
|
assert act.clean_stdout == act.clean_expected_stdout
|