linux-stable/tools/workqueue/wq_dump.py
Tejun Heo 4cb1ef6460 workqueue: Implement BH workqueues to eventually replace tasklets
The only generic interface to execute asynchronously in the BH context is
tasklet; however, it's marked deprecated and has some design flaws such as
the execution code accessing the tasklet item after the execution is
complete which can lead to subtle use-after-free in certain usage scenarios
and less-developed flush and cancel mechanisms.

This patch implements BH workqueues which share the same semantics and
features of regular workqueues but execute their work items in the softirq
context. As there is always only one BH execution context per CPU, none of
the concurrency management mechanisms applies and a BH workqueue can be
thought of as a convenience wrapper around softirq.

Except for the inability to sleep while executing and lack of max_active
adjustments, BH workqueues and work items should behave the same as regular
workqueues and work items.

Currently, the execution is hooked to tasklet[_hi]. However, the goal is to
convert all tasklet users over to BH workqueues. Once the conversion is
complete, tasklet can be removed and BH workqueues can directly take over
the tasklet softirqs.

system_bh[_highpri]_wq are added. As queue-wide flushing doesn't exist in
tasklet, all existing tasklet users should be able to use the system BH
workqueues without creating their own workqueues.

v3: - Add missing interrupt.h include.

v2: - Instead of using tasklets, hook directly into its softirq action
      functions - tasklet[_hi]_action(). This is slightly cheaper and closer
      to the eventual code structure we want to arrive at. Suggested by Lai.

    - Lai also pointed out several places which need NULL worker->task
      handling or can use clarification. Updated.

Signed-off-by: Tejun Heo <tj@kernel.org>
Suggested-by: Linus Torvalds <torvalds@linux-foundation.org>
Link: http://lkml.kernel.org/r/CAHk-=wjDW53w4-YcSmgKC5RruiRLHmJ1sXeYdp_ZgVoBw=5byA@mail.gmail.com
Tested-by: Allen Pais <allen.lkml@gmail.com>
Reviewed-by: Lai Jiangshan <jiangshanlai@gmail.com>
2024-02-04 11:28:06 -10:00

254 lines
8.4 KiB
Python

#!/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_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_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-2}}\\ min max', end='')
first = True
for node in for_each_node():
if first:
print(f' NODE {node}', end='')
first = False
else:
print(f' {node:7}', end='')
print(f' {"dfl":>7} ]')
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_():3} {wq.max_active.value_():3}', end='')
for node in for_each_node():
nna = wq.node_nr_active[node]
print(f' {nna.nr.counter.value_():3}/{nna.max.value_():3}', end='')
nna = wq.node_nr_active[nr_node_ids]
print(f' {nna.nr.counter.value_():3}/{nna.max.value_():3}')
else:
printf(f'node_to_cpumask_map not present, is NUMA enabled?')