Implement a test for DAMOS tried regions command of DAMON sysfs interface. It ensures the expected number of monitoring regions are created using an artificial memory access pattern generator program.
Signed-off-by: SeongJae Park sj@kernel.org --- tools/testing/selftests/damon/Makefile | 1 + .../selftests/damon/damos_tried_regions.py | 65 +++++++++++++++++++ 2 files changed, 66 insertions(+) create mode 100644 tools/testing/selftests/damon/damos_tried_regions.py
diff --git a/tools/testing/selftests/damon/Makefile b/tools/testing/selftests/damon/Makefile index 7b972b5cf487..356b4e9a515d 100644 --- a/tools/testing/selftests/damon/Makefile +++ b/tools/testing/selftests/damon/Makefile @@ -13,6 +13,7 @@ TEST_PROGS = debugfs_attrs.sh debugfs_schemes.sh debugfs_target_ids.sh TEST_PROGS += sysfs.sh TEST_PROGS += sysfs_update_schemes_tried_regions_wss_estimation.py TEST_PROGS += damos_quota.py damos_quota_goal.py damos_apply_interval.py +TEST_PROGS += damos_tried_regions.py TEST_PROGS += reclaim.sh lru_sort.sh
# regression tests (reproducers of previously found bugs) diff --git a/tools/testing/selftests/damon/damos_tried_regions.py b/tools/testing/selftests/damon/damos_tried_regions.py new file mode 100644 index 000000000000..3b347eb28bd2 --- /dev/null +++ b/tools/testing/selftests/damon/damos_tried_regions.py @@ -0,0 +1,65 @@ +#!/usr/bin/env python3 +# SPDX-License-Identifier: GPL-2.0 + +import subprocess +import time + +import _damon_sysfs + +def main(): + # repeatedly access even-numbered ones in 14 regions of 10 MiB size + sz_region = 10 * 1024 * 1024 + proc = subprocess.Popen(['./access_memory_even', '14', '%d' % sz_region]) + + # stat every monitored regions + kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond( + contexts=[_damon_sysfs.DamonCtx( + ops='vaddr', + targets=[_damon_sysfs.DamonTarget(pid=proc.pid)], + schemes=[_damon_sysfs.Damos(action='stat', + )] # schemes + )] # contexts + )]) # kdamonds + + err = kdamonds.start() + if err is not None: + proc.terminate() + print('kdamond start failed: %s' % err) + exit(1) + + collected_nr_regions = [] + while proc.poll() is None: + time.sleep(0.1) + err = kdamonds.kdamonds[0].update_schemes_tried_regions() + if err is not None: + proc.terminate() + print('tried regions update failed: %s' % err) + exit(1) + + scheme = kdamonds.kdamonds[0].contexts[0].schemes[0] + if scheme.tried_regions is None: + proc.terminate() + print('tried regions is not collected') + exit(1) + + nr_tried_regions = len(scheme.tried_regions) + if nr_tried_regions <= 0: + proc.terminate() + print('tried regions is not created') + exit(1) + collected_nr_regions.append(nr_tried_regions) + if len(collected_nr_regions) > 10: + break + proc.terminate() + + collected_nr_regions.sort() + sample = collected_nr_regions[4] + print('50-th percentile nr_regions: %d' % sample) + print('expectation (>= 14) is %s' % 'met' if sample >= 14 else 'not met') + if collected_nr_regions[4] < 14: + print('full nr_regions:') + print('\n'.join(collected_nr_regions)) + exit(1) + +if __name__ == '__main__': + main()