Jakub Kicinski | 373e8ff | 2020-02-27 16:06:53 -0800 | [diff] [blame] | 1 | .. _psi: |
| 2 | |
Johannes Weiner | eb41468 | 2018-10-26 15:06:27 -0700 | [diff] [blame] | 3 | ================================ |
| 4 | PSI - Pressure Stall Information |
| 5 | ================================ |
| 6 | |
| 7 | :Date: April, 2018 |
| 8 | :Author: Johannes Weiner <hannes@cmpxchg.org> |
| 9 | |
| 10 | When CPU, memory or IO devices are contended, workloads experience |
| 11 | latency spikes, throughput losses, and run the risk of OOM kills. |
| 12 | |
| 13 | Without an accurate measure of such contention, users are forced to |
| 14 | either play it safe and under-utilize their hardware resources, or |
| 15 | roll the dice and frequently suffer the disruptions resulting from |
| 16 | excessive overcommit. |
| 17 | |
| 18 | The psi feature identifies and quantifies the disruptions caused by |
| 19 | such resource crunches and the time impact it has on complex workloads |
| 20 | or even entire systems. |
| 21 | |
| 22 | Having an accurate measure of productivity losses caused by resource |
| 23 | scarcity aids users in sizing workloads to hardware--or provisioning |
| 24 | hardware according to workload demand. |
| 25 | |
| 26 | As psi aggregates this information in realtime, systems can be managed |
| 27 | dynamically using techniques such as load shedding, migrating jobs to |
| 28 | other systems or data centers, or strategically pausing or killing low |
| 29 | priority or restartable batch jobs. |
| 30 | |
| 31 | This allows maximizing hardware utilization without sacrificing |
| 32 | workload health or risking major disruptions such as OOM kills. |
| 33 | |
| 34 | Pressure interface |
| 35 | ================== |
| 36 | |
| 37 | Pressure information for each resource is exported through the |
| 38 | respective file in /proc/pressure/ -- cpu, memory, and io. |
| 39 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 40 | The format for CPU is as such:: |
Johannes Weiner | eb41468 | 2018-10-26 15:06:27 -0700 | [diff] [blame] | 41 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 42 | some avg10=0.00 avg60=0.00 avg300=0.00 total=0 |
Johannes Weiner | eb41468 | 2018-10-26 15:06:27 -0700 | [diff] [blame] | 43 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 44 | and for memory and IO:: |
Johannes Weiner | eb41468 | 2018-10-26 15:06:27 -0700 | [diff] [blame] | 45 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 46 | some avg10=0.00 avg60=0.00 avg300=0.00 total=0 |
| 47 | full avg10=0.00 avg60=0.00 avg300=0.00 total=0 |
Johannes Weiner | eb41468 | 2018-10-26 15:06:27 -0700 | [diff] [blame] | 48 | |
| 49 | The "some" line indicates the share of time in which at least some |
| 50 | tasks are stalled on a given resource. |
| 51 | |
| 52 | The "full" line indicates the share of time in which all non-idle |
| 53 | tasks are stalled on a given resource simultaneously. In this state |
| 54 | actual CPU cycles are going to waste, and a workload that spends |
| 55 | extended time in this state is considered to be thrashing. This has |
| 56 | severe impact on performance, and it's useful to distinguish this |
| 57 | situation from a state where some tasks are stalled but the CPU is |
| 58 | still doing productive work. As such, time spent in this subset of the |
| 59 | stall state is tracked separately and exported in the "full" averages. |
| 60 | |
Waiman Long | be87ab0 | 2019-04-05 18:39:14 -0700 | [diff] [blame] | 61 | The ratios (in %) are tracked as recent trends over ten, sixty, and |
| 62 | three hundred second windows, which gives insight into short term events |
| 63 | as well as medium and long term trends. The total absolute stall time |
| 64 | (in us) is tracked and exported as well, to allow detection of latency |
| 65 | spikes which wouldn't necessarily make a dent in the time averages, |
| 66 | or to average trends over custom time frames. |
Johannes Weiner | 2ce7135 | 2018-10-26 15:06:31 -0700 | [diff] [blame] | 67 | |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 68 | Monitoring for pressure thresholds |
| 69 | ================================== |
| 70 | |
| 71 | Users can register triggers and use poll() to be woken up when resource |
| 72 | pressure exceeds certain thresholds. |
| 73 | |
| 74 | A trigger describes the maximum cumulative stall time over a specific |
| 75 | time window, e.g. 100ms of total stall time within any 500ms window to |
| 76 | generate a wakeup event. |
| 77 | |
| 78 | To register a trigger user has to open psi interface file under |
| 79 | /proc/pressure/ representing the resource to be monitored and write the |
| 80 | desired threshold and time window. The open file descriptor should be |
| 81 | used to wait for trigger events using select(), poll() or epoll(). |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 82 | The following format is used:: |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 83 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 84 | <some|full> <stall amount in us> <time window in us> |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 85 | |
| 86 | For example writing "some 150000 1000000" into /proc/pressure/memory |
| 87 | would add 150ms threshold for partial memory stall measured within |
| 88 | 1sec time window. Writing "full 50000 1000000" into /proc/pressure/io |
| 89 | would add 50ms threshold for full io stall measured within 1sec time window. |
| 90 | |
| 91 | Triggers can be set on more than one psi metric and more than one trigger |
| 92 | for the same psi metric can be specified. However for each trigger a separate |
| 93 | file descriptor is required to be able to poll it separately from others, |
| 94 | therefore for each trigger a separate open() syscall should be made even |
| 95 | when opening the same psi interface file. |
| 96 | |
| 97 | Monitors activate only when system enters stall state for the monitored |
| 98 | psi metric and deactivates upon exit from the stall state. While system is |
| 99 | in the stall state psi signal growth is monitored at a rate of 10 times per |
| 100 | tracking window. |
| 101 | |
| 102 | The kernel accepts window sizes ranging from 500ms to 10s, therefore min |
| 103 | monitoring update interval is 50ms and max is 1s. Min limit is set to |
| 104 | prevent overly frequent polling. Max limit is chosen as a high enough number |
| 105 | after which monitors are most likely not needed and psi averages can be used |
| 106 | instead. |
| 107 | |
| 108 | When activated, psi monitor stays active for at least the duration of one |
| 109 | tracking window to avoid repeated activations/deactivations when system is |
| 110 | bouncing in and out of the stall state. |
| 111 | |
| 112 | Notifications to the userspace are rate-limited to one per tracking window. |
| 113 | |
| 114 | The trigger will de-register when the file descriptor used to define the |
| 115 | trigger is closed. |
| 116 | |
| 117 | Userspace monitor usage example |
| 118 | =============================== |
| 119 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 120 | :: |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 121 | |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 122 | #include <errno.h> |
| 123 | #include <fcntl.h> |
| 124 | #include <stdio.h> |
| 125 | #include <poll.h> |
| 126 | #include <string.h> |
| 127 | #include <unistd.h> |
| 128 | |
| 129 | /* |
| 130 | * Monitor memory partial stall with 1s tracking window size |
| 131 | * and 150ms threshold. |
| 132 | */ |
| 133 | int main() { |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 134 | const char trig[] = "some 150000 1000000"; |
| 135 | struct pollfd fds; |
| 136 | int n; |
| 137 | |
| 138 | fds.fd = open("/proc/pressure/memory", O_RDWR | O_NONBLOCK); |
| 139 | if (fds.fd < 0) { |
| 140 | printf("/proc/pressure/memory open error: %s\n", |
| 141 | strerror(errno)); |
| 142 | return 1; |
| 143 | } |
| 144 | fds.events = POLLPRI; |
| 145 | |
| 146 | if (write(fds.fd, trig, strlen(trig) + 1) < 0) { |
| 147 | printf("/proc/pressure/memory write error: %s\n", |
| 148 | strerror(errno)); |
| 149 | return 1; |
| 150 | } |
| 151 | |
| 152 | printf("waiting for events...\n"); |
| 153 | while (1) { |
| 154 | n = poll(&fds, 1, -1); |
| 155 | if (n < 0) { |
| 156 | printf("poll error: %s\n", strerror(errno)); |
| 157 | return 1; |
| 158 | } |
| 159 | if (fds.revents & POLLERR) { |
| 160 | printf("got POLLERR, event source is gone\n"); |
| 161 | return 0; |
| 162 | } |
| 163 | if (fds.revents & POLLPRI) { |
| 164 | printf("event triggered!\n"); |
| 165 | } else { |
| 166 | printf("unknown event received: 0x%x\n", fds.revents); |
| 167 | return 1; |
| 168 | } |
| 169 | } |
| 170 | |
| 171 | return 0; |
Mauro Carvalho Chehab | c312355 | 2019-04-17 05:46:08 -0300 | [diff] [blame] | 172 | } |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 173 | |
Johannes Weiner | 2ce7135 | 2018-10-26 15:06:31 -0700 | [diff] [blame] | 174 | Cgroup2 interface |
| 175 | ================= |
| 176 | |
| 177 | In a system with a CONFIG_CGROUP=y kernel and the cgroup2 filesystem |
| 178 | mounted, pressure stall information is also tracked for tasks grouped |
| 179 | into cgroups. Each subdirectory in the cgroupfs mountpoint contains |
| 180 | cpu.pressure, memory.pressure, and io.pressure files; the format is |
| 181 | the same as the /proc/pressure/ files. |
Suren Baghdasaryan | 0e94682 | 2019-05-14 15:41:15 -0700 | [diff] [blame] | 182 | |
| 183 | Per-cgroup psi monitors can be specified and used the same way as |
| 184 | system-wide ones. |