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Now that wq_worker_tick() is there, we can easily track the rough CPU time consumption of each workqueue by charging the whole tick whenever a tick hits an active workqueue. While not super accurate, it provides reasonable visibility into the workqueues that consume a lot of CPU cycles. wq_monitor.py is updated to report the per-workqueue CPU times. v2: wq_monitor.py was using "cputime" as the key when outputting in json format. Use "cpu_time" instead for consistency with other fields. Signed-off-by: Tejun Heo <tj@kernel.org>
169 lines
5.9 KiB
Python
169 lines
5.9 KiB
Python
#!/usr/bin/env drgn
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#
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# Copyright (C) 2023 Tejun Heo <tj@kernel.org>
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# Copyright (C) 2023 Meta Platforms, Inc. and affiliates.
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desc = """
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This is a drgn script to monitor workqueues. For more info on drgn, visit
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https://github.com/osandov/drgn.
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total Total number of work items executed by the workqueue.
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infl The number of currently in-flight work items.
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CPUtime Total CPU time consumed by the workqueue in seconds. This is
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sampled from scheduler ticks and only provides ballpark
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measurement. "nohz_full=" CPUs are excluded from measurement.
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CPUitsv The number of times a concurrency-managed work item hogged CPU
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longer than the threshold (workqueue.cpu_intensive_thresh_us)
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and got excluded from concurrency management to avoid stalling
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other work items.
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CMwake The number of concurrency-management wake-ups while executing a
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work item of the workqueue.
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mayday The number of times the rescuer was requested while waiting for
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new worker creation.
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rescued The number of work items executed by the rescuer.
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"""
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import sys
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import signal
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import os
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import re
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import time
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import json
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import drgn
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from drgn.helpers.linux.list import list_for_each_entry,list_empty
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from drgn.helpers.linux.cpumask import for_each_possible_cpu
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import argparse
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parser = argparse.ArgumentParser(description=desc,
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formatter_class=argparse.RawTextHelpFormatter)
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parser.add_argument('workqueue', metavar='REGEX', nargs='*',
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help='Target workqueue name patterns (all if empty)')
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parser.add_argument('-i', '--interval', metavar='SECS', type=float, default=1,
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help='Monitoring interval (0 to print once and exit)')
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parser.add_argument('-j', '--json', action='store_true',
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help='Output in json')
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args = parser.parse_args()
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def err(s):
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print(s, file=sys.stderr, flush=True)
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sys.exit(1)
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workqueues = prog['workqueues']
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WQ_UNBOUND = prog['WQ_UNBOUND']
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WQ_MEM_RECLAIM = prog['WQ_MEM_RECLAIM']
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PWQ_STAT_STARTED = prog['PWQ_STAT_STARTED'] # work items started execution
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PWQ_STAT_COMPLETED = prog['PWQ_STAT_COMPLETED'] # work items completed execution
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PWQ_STAT_CPU_TIME = prog['PWQ_STAT_CPU_TIME'] # total CPU time consumed
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PWQ_STAT_CPU_INTENSIVE = prog['PWQ_STAT_CPU_INTENSIVE'] # wq_cpu_intensive_thresh_us violations
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PWQ_STAT_CM_WAKEUP = prog['PWQ_STAT_CM_WAKEUP'] # concurrency-management worker wakeups
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PWQ_STAT_MAYDAY = prog['PWQ_STAT_MAYDAY'] # maydays to rescuer
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PWQ_STAT_RESCUED = prog['PWQ_STAT_RESCUED'] # linked work items executed by rescuer
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PWQ_NR_STATS = prog['PWQ_NR_STATS']
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class WqStats:
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def __init__(self, wq):
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self.name = wq.name.string_().decode()
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self.unbound = wq.flags & WQ_UNBOUND != 0
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self.mem_reclaim = wq.flags & WQ_MEM_RECLAIM != 0
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self.stats = [0] * PWQ_NR_STATS
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for pwq in list_for_each_entry('struct pool_workqueue', wq.pwqs.address_of_(), 'pwqs_node'):
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for i in range(PWQ_NR_STATS):
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self.stats[i] += int(pwq.stats[i])
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def dict(self, now):
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return { 'timestamp' : now,
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'name' : self.name,
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'unbound' : self.unbound,
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'mem_reclaim' : self.mem_reclaim,
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'started' : self.stats[PWQ_STAT_STARTED],
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'completed' : self.stats[PWQ_STAT_COMPLETED],
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'cpu_time' : self.stats[PWQ_STAT_CPU_TIME],
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'cpu_intensive' : self.stats[PWQ_STAT_CPU_INTENSIVE],
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'cm_wakeup' : self.stats[PWQ_STAT_CM_WAKEUP],
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'mayday' : self.stats[PWQ_STAT_MAYDAY],
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'rescued' : self.stats[PWQ_STAT_RESCUED], }
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def table_header_str():
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return f'{"":>24} {"total":>8} {"infl":>5} {"CPUtime":>8} '\
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f'{"CPUitsv":>7} {"CMwake":>7} {"mayday":>7} {"rescued":>7}'
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def table_row_str(self):
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cpu_intensive = '-'
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cm_wakeup = '-'
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mayday = '-'
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rescued = '-'
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if not self.unbound:
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cpu_intensive = str(self.stats[PWQ_STAT_CPU_INTENSIVE])
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cm_wakeup = str(self.stats[PWQ_STAT_CM_WAKEUP])
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if self.mem_reclaim:
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mayday = str(self.stats[PWQ_STAT_MAYDAY])
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rescued = str(self.stats[PWQ_STAT_RESCUED])
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out = f'{self.name[-24:]:24} ' \
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f'{self.stats[PWQ_STAT_STARTED]:8} ' \
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f'{max(self.stats[PWQ_STAT_STARTED] - self.stats[PWQ_STAT_COMPLETED], 0):5} ' \
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f'{self.stats[PWQ_STAT_CPU_TIME] / 1000000:8.1f} ' \
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f'{cpu_intensive:>7} ' \
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f'{cm_wakeup:>7} ' \
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f'{mayday:>7} ' \
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f'{rescued:>7} '
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return out.rstrip(':')
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exit_req = False
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def sigint_handler(signr, frame):
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global exit_req
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exit_req = True
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def main():
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# handle args
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table_fmt = not args.json
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interval = args.interval
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re_str = None
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if args.workqueue:
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for r in args.workqueue:
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if re_str is None:
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re_str = r
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else:
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re_str += '|' + r
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filter_re = re.compile(re_str) if re_str else None
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# monitoring loop
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signal.signal(signal.SIGINT, sigint_handler)
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while not exit_req:
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now = time.time()
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if table_fmt:
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print()
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print(WqStats.table_header_str())
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for wq in list_for_each_entry('struct workqueue_struct', workqueues.address_of_(), 'list'):
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stats = WqStats(wq)
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if filter_re and not filter_re.search(stats.name):
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continue
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if table_fmt:
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print(stats.table_row_str())
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else:
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print(stats.dict(now))
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if interval == 0:
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break
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time.sleep(interval)
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if __name__ == "__main__":
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main()
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