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51f58c9da1
Add a selftest for verifying the DAMOS quota feature. The test is very similar to sysfs_update_schemes_tried_regions_wss_estimation.py. It starts an artificial workload of 20 MiB working set, run DAMON to find the working set size, but with 1 MiB/100 ms size quota. Then, it collect the DAMON-found working set size every 100 ms and check if the quota was always applied as expected. For the confirmation, the tests shows the stat-applied region size and the qt_exceeds stat. Link: https://lkml.kernel.org/r/20240207203134.69976-5-sj@kernel.org Signed-off-by: SeongJae Park <sj@kernel.org> Cc: Shuah Khan <shuah@kernel.org> Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
#!/usr/bin/env python3
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# SPDX-License-Identifier: GPL-2.0
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import subprocess
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import time
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import _damon_sysfs
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def main():
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# access two 10 MiB memory regions, 2 second per each
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sz_region = 10 * 1024 * 1024
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proc = subprocess.Popen(['./access_memory', '2', '%d' % sz_region, '2000'])
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# Set quota up to 1 MiB per 100 ms
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sz_quota = 1024 * 1024 # 1 MiB
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quota_reset_interval = 100 # 100 ms
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kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
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contexts=[_damon_sysfs.DamonCtx(
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ops='vaddr',
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targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
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schemes=[_damon_sysfs.Damos(
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access_pattern=_damon_sysfs.DamosAccessPattern(
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# >= 25% access rate, >= 200ms age
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nr_accesses=[5, 20], age=[2, 2**64 - 1]),
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quota=_damon_sysfs.DamosQuota(
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sz=sz_quota, reset_interval_ms=quota_reset_interval)
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)] # schemes
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)] # contexts
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)]) # kdamonds
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err = kdamonds.start()
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if err != None:
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print('kdamond start failed: %s' % err)
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exit(1)
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wss_collected = []
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nr_quota_exceeds = 0
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while proc.poll() == None:
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time.sleep(0.1)
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err = kdamonds.kdamonds[0].update_schemes_tried_bytes()
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if err != None:
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print('tried bytes update failed: %s' % err)
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exit(1)
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err = kdamonds.kdamonds[0].update_schemes_stats()
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if err != None:
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print('stats update failed: %s' % err)
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exit(1)
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scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
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wss_collected.append(scheme.tried_bytes)
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nr_quota_exceeds = scheme.stats.qt_exceeds
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wss_collected.sort()
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for wss in wss_collected:
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if wss > sz_quota:
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print('quota is not kept: %s > %s' % (wss, sz_quota))
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print('collected samples are as below')
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print('\n'.join(['%d' % wss for wss in wss_collected]))
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exit(1)
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if nr_quota_exceeds < len(wss_collected):
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print('quota is not always exceeded: %d > %d' %
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(len(wss_collected), nr_quota_exceeds))
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exit(1)
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if __name__ == '__main__':
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main()
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