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Linux kernel mirror (for testing) git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git
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123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250#!/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 moreinfo on drgn, visit https://github.com/osandov/drgn.
Affinity Scopes===============
Shows the CPUs that can be used for unbound workqueues and how they will begrouped 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. Foreach 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 drgnfrom drgn.helpers.linux.list import list_for_each_entry,list_emptyfrom drgn.helpers.linux.percpu import per_cpu_ptrfrom drgn.helpers.linux.cpumask import for_each_cpu,for_each_possible_cpufrom drgn.helpers.linux.nodemask import for_each_nodefrom drgn.helpers.linux.idr import idr_for_each
import argparseparser = 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 = 0max_ref_len = 0for 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?')