Resguardo inicial

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lastdragon
2026-09-06 12:53:21 -06:00
parent 662efe3c2a
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#!/usr/bin/env drgn
#
# Copyright (C) 2023 Tejun Heo <tj@kernel.org>
# Copyright (C) 2023 Meta Platforms, Inc. and affiliates.
desc = """
This is a drgn script to show the current workqueue configuration. For more
info on drgn, visit https://github.com/osandov/drgn.
Affinity Scopes
===============
Shows the CPUs that can be used for unbound workqueues and how they will be
grouped by each available affinity type. For each type:
nr_pods number of CPU pods in the affinity type
pod_cpus CPUs in each pod
pod_node NUMA node for memory allocation for each pod
cpu_pod pod that each CPU is associated to
Worker Pools
============
Lists all worker pools indexed by their ID. For each pool:
ref number of pool_workqueue's associated with this pool
nice nice value of the worker threads in the pool
idle number of idle workers
workers number of all workers
cpu CPU the pool is associated with (per-cpu pool)
cpus CPUs the workers in the pool can run on (unbound pool)
Workqueue CPU -> pool
=====================
Lists all workqueues along with their type and worker pool association. For
each workqueue:
NAME TYPE[,FLAGS] POOL_ID...
NAME name of the workqueue
TYPE percpu, unbound or ordered
FLAGS S: strict affinity scope
POOL_ID worker pool ID associated with each possible CPU
"""
import sys
import drgn
from drgn.helpers.linux.list import list_for_each_entry,list_empty
from drgn.helpers.linux.percpu import per_cpu_ptr
from drgn.helpers.linux.cpumask import for_each_cpu,for_each_possible_cpu
from drgn.helpers.linux.nodemask import for_each_node
from drgn.helpers.linux.idr import idr_for_each
import argparse
parser = argparse.ArgumentParser(description=desc,
formatter_class=argparse.RawTextHelpFormatter)
args = parser.parse_args()
def err(s):
print(s, file=sys.stderr, flush=True)
sys.exit(1)
def cpumask_str(cpumask):
output = ""
base = 0
v = 0
for cpu in for_each_cpu(cpumask[0]):
while cpu - base >= 32:
output += f'{hex(v)} '
base += 32
v = 0
v |= 1 << (cpu - base)
if v > 0:
output += f'{v:08x}'
return output.strip()
wq_type_len = 9
def wq_type_str(wq):
if wq.flags & WQ_BH:
return f'{"bh":{wq_type_len}}'
elif wq.flags & WQ_UNBOUND:
if wq.flags & WQ_ORDERED:
return f'{"ordered":{wq_type_len}}'
else:
if wq.unbound_attrs.affn_strict:
return f'{"unbound,S":{wq_type_len}}'
else:
return f'{"unbound":{wq_type_len}}'
else:
return f'{"percpu":{wq_type_len}}'
worker_pool_idr = prog['worker_pool_idr']
workqueues = prog['workqueues']
wq_unbound_cpumask = prog['wq_unbound_cpumask']
wq_pod_types = prog['wq_pod_types']
wq_affn_dfl = prog['wq_affn_dfl']
wq_affn_names = prog['wq_affn_names']
WQ_BH = prog['WQ_BH']
WQ_UNBOUND = prog['WQ_UNBOUND']
WQ_ORDERED = prog['__WQ_ORDERED']
WQ_MEM_RECLAIM = prog['WQ_MEM_RECLAIM']
WQ_AFFN_CPU = prog['WQ_AFFN_CPU']
WQ_AFFN_SMT = prog['WQ_AFFN_SMT']
WQ_AFFN_CACHE = prog['WQ_AFFN_CACHE']
WQ_AFFN_CACHE_SHARD = prog['WQ_AFFN_CACHE_SHARD']
WQ_AFFN_NUMA = prog['WQ_AFFN_NUMA']
WQ_AFFN_SYSTEM = prog['WQ_AFFN_SYSTEM']
POOL_BH = prog['POOL_BH']
WQ_NAME_LEN = prog['WQ_NAME_LEN'].value_()
cpumask_str_len = len(cpumask_str(wq_unbound_cpumask))
print('Affinity Scopes')
print('===============')
print(f'wq_unbound_cpumask={cpumask_str(wq_unbound_cpumask)}')
def print_pod_type(pt):
print(f' nr_pods {pt.nr_pods.value_()}')
print(' pod_cpus', end='')
for pod in range(pt.nr_pods):
print(f' [{pod}]={cpumask_str(pt.pod_cpus[pod])}', end='')
print('')
print(' pod_node', end='')
for pod in range(pt.nr_pods):
print(f' [{pod}]={pt.pod_node[pod].value_()}', end='')
print('')
print(f' cpu_pod ', end='')
for cpu in for_each_possible_cpu(prog):
print(f' [{cpu}]={pt.cpu_pod[cpu].value_()}', end='')
print('')
for affn in [WQ_AFFN_CPU, WQ_AFFN_SMT, WQ_AFFN_CACHE, WQ_AFFN_CACHE_SHARD, WQ_AFFN_NUMA, WQ_AFFN_SYSTEM]:
print('')
print(f'{wq_affn_names[affn].string_().decode().upper()}{" (default)" if affn == wq_affn_dfl else ""}')
print_pod_type(wq_pod_types[affn])
print('')
print('Worker Pools')
print('============')
max_pool_id_len = 0
max_ref_len = 0
for pi, pool in idr_for_each(worker_pool_idr):
pool = drgn.Object(prog, 'struct worker_pool', address=pool)
max_pool_id_len = max(max_pool_id_len, len(f'{pi}'))
max_ref_len = max(max_ref_len, len(f'{pool.refcnt.value_()}'))
for pi, pool in idr_for_each(worker_pool_idr):
pool = drgn.Object(prog, 'struct worker_pool', address=pool)
print(f'pool[{pi:0{max_pool_id_len}}] flags=0x{pool.flags.value_():02x} ref={pool.refcnt.value_():{max_ref_len}} nice={pool.attrs.nice.value_():3} ', end='')
print(f'idle/workers={pool.nr_idle.value_():3}/{pool.nr_workers.value_():3} ', end='')
if pool.cpu >= 0:
print(f'cpu={pool.cpu.value_():3}', end='')
if pool.flags & POOL_BH:
print(' bh', end='')
else:
print(f'cpus={cpumask_str(pool.attrs.cpumask)}', end='')
print(f' pod_cpus={cpumask_str(pool.attrs.__pod_cpumask)}', end='')
if pool.attrs.affn_strict:
print(' strict', end='')
print('')
print('')
print('Workqueue CPU -> pool')
print('=====================')
print(f'[{"workqueue":^{WQ_NAME_LEN-2}}\\ {"type CPU":{wq_type_len}}', end='')
for cpu in for_each_possible_cpu(prog):
print(f' {cpu:{max_pool_id_len}}', end='')
print(' dfl]')
for wq in list_for_each_entry('struct workqueue_struct', workqueues.address_of_(), 'list'):
print(f'{wq.name.string_().decode():{WQ_NAME_LEN}} {wq_type_str(wq):10}', end='')
for cpu in for_each_possible_cpu(prog):
pool_id = per_cpu_ptr(wq.cpu_pwq, cpu)[0].pool.id.value_()
field_len = max(len(str(cpu)), max_pool_id_len)
print(f' {pool_id:{field_len}}', end='')
if wq.flags & WQ_UNBOUND:
print(f' {wq.dfl_pwq.pool.id.value_():{max_pool_id_len}}', end='')
print('')
print('')
print('Workqueue -> rescuer')
print('====================')
ucpus_len = max(cpumask_str_len, len("unbound_cpus"))
rcpus_len = max(cpumask_str_len, len("rescuer_cpus"))
print(f'[{"workqueue":^{WQ_NAME_LEN-2}}\\ {"unbound_cpus":{ucpus_len}} pid {"rescuer_cpus":{rcpus_len}} ]')
for wq in list_for_each_entry('struct workqueue_struct', workqueues.address_of_(), 'list'):
if not (wq.flags & WQ_MEM_RECLAIM):
continue
print(f'{wq.name.string_().decode():{WQ_NAME_LEN}}', end='')
if wq.unbound_attrs.value_() != 0:
print(f' {cpumask_str(wq.unbound_attrs.cpumask):{ucpus_len}}', end='')
else:
print(f' {"":{ucpus_len}}', end='')
print(f' {wq.rescuer.task.pid.value_():6}', end='')
print(f' {cpumask_str(wq.rescuer.task.cpus_ptr):{rcpus_len}}', end='')
print('')
print('')
print('Unbound workqueue -> node_nr/max_active')
print('=======================================')
if 'node_to_cpumask_map' in prog:
__cpu_online_mask = prog['__cpu_online_mask']
node_to_cpumask_map = prog['node_to_cpumask_map']
nr_node_ids = prog['nr_node_ids'].value_()
print(f'online_cpus={cpumask_str(__cpu_online_mask.address_of_())}')
for node in for_each_node():
print(f'NODE[{node:02}]={cpumask_str(node_to_cpumask_map[node])}')
print('')
print(f'[{"workqueue":^{WQ_NAME_LEN-1}} {"min":>4} {"max":>4}', end='')
for node in for_each_node():
print(f' {"NODE " + str(node):>9}', end='')
print(f' {"dfl":>9} ]')
print('')
for wq in list_for_each_entry('struct workqueue_struct', workqueues.address_of_(), 'list'):
if not (wq.flags & WQ_UNBOUND):
continue
print(f'{wq.name.string_().decode():{WQ_NAME_LEN}} ', end='')
print(f'{wq.min_active.value_():4} {wq.max_active.value_():4}', end='')
for node in for_each_node():
nna = wq.node_nr_active[node]
print(f' {f"{nna.nr.counter.value_()}/{nna.max.value_()}":>9}', end='')
nna = wq.node_nr_active[nr_node_ids]
print(f' {f"{nna.nr.counter.value_()}/{nna.max.value_()}":>9}')
else:
printf(f'node_to_cpumask_map not present, is NUMA enabled?')
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#!/usr/bin/env drgn
#
# Copyright (C) 2023 Tejun Heo <tj@kernel.org>
# Copyright (C) 2023 Meta Platforms, Inc. and affiliates.
desc = """
This is a drgn script to monitor workqueues. For more info on drgn, visit
https://github.com/osandov/drgn.
total Total number of work items executed by the workqueue.
infl The number of currently in-flight work items.
CPUtime Total CPU time consumed by the workqueue in seconds. This is
sampled from scheduler ticks and only provides ballpark
measurement. "nohz_full=" CPUs are excluded from measurement.
CPUitsv The number of times a concurrency-managed work item hogged CPU
longer than the threshold (workqueue.cpu_intensive_thresh_us)
and got excluded from concurrency management to avoid stalling
other work items.
CMW/RPR For per-cpu workqueues, the number of concurrency-management
wake-ups while executing a work item of the workqueue. For
unbound workqueues, the number of times a worker was repatriated
to its affinity scope after being migrated to an off-scope CPU by
the scheduler.
mayday The number of times the rescuer was requested while waiting for
new worker creation.
rescued The number of work items executed by the rescuer.
"""
import signal
import re
import time
import json
import drgn
from drgn.helpers.linux.list import list_for_each_entry
import argparse
parser = argparse.ArgumentParser(description=desc,
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('workqueue', metavar='REGEX', nargs='*',
help='Target workqueue name patterns (all if empty)')
parser.add_argument('-i', '--interval', metavar='SECS', type=float, default=1,
help='Monitoring interval (0 to print once and exit)')
parser.add_argument('-j', '--json', action='store_true',
help='Output in json')
args = parser.parse_args()
workqueues = prog['workqueues']
WQ_UNBOUND = prog['WQ_UNBOUND']
WQ_MEM_RECLAIM = prog['WQ_MEM_RECLAIM']
PWQ_STAT_STARTED = prog['PWQ_STAT_STARTED'] # work items started execution
PWQ_STAT_COMPLETED = prog['PWQ_STAT_COMPLETED'] # work items completed execution
PWQ_STAT_CPU_TIME = prog['PWQ_STAT_CPU_TIME'] # total CPU time consumed
PWQ_STAT_CPU_INTENSIVE = prog['PWQ_STAT_CPU_INTENSIVE'] # wq_cpu_intensive_thresh_us violations
PWQ_STAT_CM_WAKEUP = prog['PWQ_STAT_CM_WAKEUP'] # concurrency-management worker wakeups
PWQ_STAT_REPATRIATED = prog['PWQ_STAT_REPATRIATED'] # unbound workers brought back into scope
PWQ_STAT_MAYDAY = prog['PWQ_STAT_MAYDAY'] # maydays to rescuer
PWQ_STAT_RESCUED = prog['PWQ_STAT_RESCUED'] # linked work items executed by rescuer
PWQ_NR_STATS = prog['PWQ_NR_STATS']
class WqStats:
def __init__(self, wq):
self.name = wq.name.string_().decode()
self.unbound = wq.flags & WQ_UNBOUND != 0
self.mem_reclaim = wq.flags & WQ_MEM_RECLAIM != 0
self.stats = [0] * PWQ_NR_STATS
for pwq in list_for_each_entry('struct pool_workqueue', wq.pwqs.address_of_(), 'pwqs_node'):
for i in range(PWQ_NR_STATS):
self.stats[i] += int(pwq.stats[i])
def dict(self, now):
return { 'timestamp' : now,
'name' : self.name,
'unbound' : self.unbound,
'mem_reclaim' : self.mem_reclaim,
'started' : self.stats[PWQ_STAT_STARTED],
'completed' : self.stats[PWQ_STAT_COMPLETED],
'cpu_time' : self.stats[PWQ_STAT_CPU_TIME],
'cpu_intensive' : self.stats[PWQ_STAT_CPU_INTENSIVE],
'cm_wakeup' : self.stats[PWQ_STAT_CM_WAKEUP],
'repatriated' : self.stats[PWQ_STAT_REPATRIATED],
'mayday' : self.stats[PWQ_STAT_MAYDAY],
'rescued' : self.stats[PWQ_STAT_RESCUED], }
def table_header_str():
return f'{"":>24} {"total":>8} {"infl":>5} {"CPUtime":>8} '\
f'{"CPUitsv":>7} {"CMW/RPR":>7} {"mayday":>7} {"rescued":>7}'
def table_row_str(self):
cpu_intensive = '-'
cmw_rpr = '-'
mayday = '-'
rescued = '-'
if self.unbound:
cmw_rpr = str(self.stats[PWQ_STAT_REPATRIATED]);
else:
cpu_intensive = str(self.stats[PWQ_STAT_CPU_INTENSIVE])
cmw_rpr = str(self.stats[PWQ_STAT_CM_WAKEUP])
if self.mem_reclaim:
mayday = str(self.stats[PWQ_STAT_MAYDAY])
rescued = str(self.stats[PWQ_STAT_RESCUED])
out = f'{self.name[-24:]:24} ' \
f'{self.stats[PWQ_STAT_STARTED]:8} ' \
f'{max(self.stats[PWQ_STAT_STARTED] - self.stats[PWQ_STAT_COMPLETED], 0):5} ' \
f'{self.stats[PWQ_STAT_CPU_TIME] / 1000000:8.1f} ' \
f'{cpu_intensive:>7} ' \
f'{cmw_rpr:>7} ' \
f'{mayday:>7} ' \
f'{rescued:>7} '
return out.rstrip(':')
exit_req = False
def sigint_handler(signr, frame):
global exit_req
exit_req = True
def main():
# handle args
table_fmt = not args.json
interval = args.interval
re_str = None
if args.workqueue:
for r in args.workqueue:
if re_str is None:
re_str = r
else:
re_str += '|' + r
filter_re = re.compile(re_str) if re_str else None
# monitoring loop
signal.signal(signal.SIGINT, sigint_handler)
while not exit_req:
now = time.time()
if table_fmt:
print()
print(WqStats.table_header_str())
for wq in list_for_each_entry('struct workqueue_struct', workqueues.address_of_(), 'list'):
stats = WqStats(wq)
if filter_re and not filter_re.search(stats.name):
continue
if table_fmt:
print(stats.table_row_str())
else:
print(stats.dict(now))
if interval == 0:
break
time.sleep(interval)
if __name__ == "__main__":
main()