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https://github.com/FirebirdSQL/firebird-qa.git
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124 lines
4.0 KiB
Python
124 lines
4.0 KiB
Python
#coding:utf-8
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"""
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ID: issue-7092
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ISSUE: https://github.com/FirebirdSQL/firebird/issues/7092
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TITLE: Improve performance of CURRENT_TIME
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DESCRIPTION:
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Test uses two procedures:
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* one with loop for integer values that does nothing more, and
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* second with same loop but with assigning from ticket: 'd = current_time' (on every iteration).
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Duration is measured as difference between psutil.Process(fb_pid).cpu_times() counters.
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We do these measures <N_MEASURES> times for each SP, and each result is added to the list
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which, in turn, is the source for median evaluation.
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Finally, we get ratio between minimal and maximal medians (see 'median_ratio')
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On Windows 8.1 usually this ratio is about 7 (before fix it was more than 100).
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Test is considered as passed if median_ratio less than threshold <MAX_RATIO>.
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NOTES:
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Confirmed problem on:
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4.0.1.2699 (01-jan-2022): median ratio was 109 ... 110 (3.40 vs 0.03)
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5.0.0.362 (01-jan-2022): median ratio was 111 ... 113 (3.51 vs 0.03)
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Checked on 6.0.0.195, 5.0.0.1305, 4.0.5.3049.
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Scope of median ratio values: 4.33 ... 7.00
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"""
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import psutil
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import pytest
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from firebird.qa import *
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#--------------------------------------------------------------------
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def median(lst):
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n = len(lst)
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s = sorted(lst)
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return (sum(s[n//2-1:n//2+1])/2.0, s[n//2])[n % 2] if n else None
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#--------------------------------------------------------------------
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###########################
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### S E T T I N G S ###
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###########################
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# How many times we call procedures:
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N_MEASURES = 15
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# How many iterations must be done:
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N_COUNT_PER_MEASURE = 100000
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# Maximal value for ratio between maximal and minimal medians
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#
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MAX_RATIO = 15
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##############
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init_script = \
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f'''
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set term ^;
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create procedure sp_ctime_loop(a_limit int)
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as
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declare d time;
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declare n int = 1;
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begin
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while (n < a_limit) do
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begin
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n = n + 1;
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d = current_time;
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end
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end
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^
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create procedure sp_dummy_loop(a_limit int)
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as
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declare n int = 1;
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begin
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while (n < a_limit) do
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begin
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n = n + 1;
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end
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end
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^
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commit
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^
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'''
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db = db_factory(init = init_script)
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act = python_act('db')
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expected_stdout = """
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Medians ratio: acceptable
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"""
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@pytest.mark.version('>=4.0.2')
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def test_1(act: Action, capsys):
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with act.db.connect() as con:
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cur=con.cursor()
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cur.execute('select mon$server_pid as p from mon$attachments where mon$attachment_id = current_connection')
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fb_pid = int(cur.fetchone()[0])
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sp_time = {}
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for i in range(0, N_MEASURES):
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for sp_name in ('sp_ctime_loop', 'sp_dummy_loop'):
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fb_info_init = psutil.Process(fb_pid).cpu_times()
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cur.callproc( sp_name, (N_COUNT_PER_MEASURE,) )
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fb_info_curr = psutil.Process(fb_pid).cpu_times()
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sp_time[ sp_name, i ] = max(fb_info_curr.user - fb_info_init.user, 0.000001)
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sp_ctime_median = median([v for k,v in sp_time.items() if k[0] == 'sp_ctime_loop'])
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sp_dummy_median = median([v for k,v in sp_time.items() if k[0] == 'sp_dummy_loop'])
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#----------------------------------
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median_ratio = sp_ctime_median / sp_dummy_median
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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) ) ) )
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if median_ratio > MAX_RATIO:
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print('CPU times for each of {N_MEASURES} measures:')
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for k,v in sp_time.items():
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print(k,':::',v)
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print(f'Median cpu time for {N_MEASURES} measures using loops for {N_COUNT_PER_MEASURE} iterations in each SP call:')
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print('sp_ctime_median:',sp_ctime_median)
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print('sp_dummy_median:',sp_dummy_median)
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print('median_ratio:',median_ratio)
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act.expected_stdout = expected_stdout
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act.stdout = capsys.readouterr().out
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assert act.clean_stdout == act.clean_expected_stdout
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