diff options
| author | Seiji Nishikawa <snishika@redhat.com> | 2026-10-14 15:45:24 +0900 |
|---|---|---|
| committer | Keith Busch <kbusch@kernel.org> | 2026-10-28 08:25:36 -0700 |
| commit | 5db358f3a7f9c33717622c1597d15c4c91997b19 (patch) | |
| tree | 42146f9757fed7c4b38588f02b3d3024df60eadd /tools/lib/python/kdoc/python_version.py | |
| parent | cf54a0dff38435bb3b7652872717cd02fdbac0ca (diff) | |
nvme-tcp: fix io_work priority inversion when send_mutex is held
Commit f42d4796ee10 ("nvme-tcp: fix I/O stalls on congested sockets")
added a check in nvme_tcp_io_work() that sets pending to true when the
queue has pending requests and the socket is writeable. The check is
placed after the mutex_trylock() block, so it also runs when
mutex_trylock(&queue->send_mutex) failed and io_work did not send
anything.
When .queue_rq sends a request directly from its own context, it holds
send_mutex and can give up the CPU in lock_sock_nested() when another
task needs the CPU, for example the io_work kworker of the same queue,
which runs on the same CPU. Then io_work cannot take send_mutex, but
the requests are still on req_list and the socket is writeable, so
pending is set to true. io_work loops until the deadline and queues
itself again on io_cpu, without sleeping.
This is a priority inversion. io_work runs on the high priority
nvme_tcp_wq and cannot make progress until send_mutex is released, but
it keeps running. The task holding send_mutex runs at normal priority
and needs the CPU to release it. The scheduler keeps giving the CPU to
io_work, so the task holding send_mutex may not run again, and the
requests on the queue are not sent and time out.
This is the same problem that commit 70f437fb4395 ("nvme-tcp: fix
io_work priority inversion") fixed. That commit removed
"pending = !llist_empty(&queue->req_list)" from the path where
mutex_trylock() fails, and let the task holding send_mutex queue
io_work again in nvme_tcp_queue_request() after it releases the mutex.
The new check brings back the same behavior in a different form.
Two things make this easier to hit. nvme_tcp_queue_request() sends
directly only when it runs on io_cpu, so the task that takes send_mutex
is on the same CPU as the io_work kworker of that queue when it takes
the mutex. Also, when the tasks are in a cgroup with the cpu controller
enabled, the whole group competes with the nice -20 kworker as one
entity, so each task in the group gets even less CPU time.
We hit this on a 6 CPU VM running a database on nvme-tcp storage. In
the vmcore, 2 tasks held send_mutex of 2 queues and were runnable in
lock_sock_nested() for 103 seconds, while the kworkers for those queues
kept running io_work on their CPUs. All database tasks were in one
cgroup, which got only about 0.3% of the CPU against the nice -20
kworker. Requests timed out, and blk_mq_timeout_work() waited in
synchronize_srcu() for the tasks still in .queue_rq.
Only do the pending check if io_work could take send_mutex. If it could
not, the task holding send_mutex sends what it can in
nvme_tcp_send_all(), and queues io_work again after it releases the
mutex if requests are still pending, so no request is left behind.
Fixes: f42d4796ee10 ("nvme-tcp: fix I/O stalls on congested sockets")
Cc: stable@vger.kernel.org # v6.16+
Signed-off-by: Seiji Nishikawa <snishika@redhat.com>
Signed-off-by: Keith Busch <kbusch@kernel.org>
Diffstat (limited to 'tools/lib/python/kdoc/python_version.py')
0 files changed, 0 insertions, 0 deletions
