| #!/usr/bin/env python |
| # |
| # oomkill Trace oom_kill_process(). For Linux, uses BCC, eBPF. |
| # |
| # This traces the kernel out-of-memory killer, and prints basic details, |
| # including the system load averages. This can provide more context on the |
| # system state at the time of OOM: was it getting busier or steady, based |
| # on the load averages? This tool may also be useful to customize for |
| # investigations; for example, by adding other task_struct details at the time |
| # of OOM. |
| # |
| # Copyright 2016 Netflix, Inc. |
| # Licensed under the Apache License, Version 2.0 (the "License") |
| # |
| # 09-Feb-2016 Brendan Gregg Created this. |
| |
| from bcc import BPF |
| from time import strftime |
| import ctypes as ct |
| |
| # linux stats |
| loadavg = "/proc/loadavg" |
| |
| # define BPF program |
| bpf_text = """ |
| #include <uapi/linux/ptrace.h> |
| #include <linux/oom.h> |
| |
| struct data_t { |
| u64 fpid; |
| u64 tpid; |
| u64 pages; |
| char fcomm[TASK_COMM_LEN]; |
| char tcomm[TASK_COMM_LEN]; |
| }; |
| |
| BPF_PERF_OUTPUT(events); |
| |
| void kprobe__oom_kill_process(struct pt_regs *ctx, struct oom_control *oc, |
| struct task_struct *p, unsigned int points, unsigned long totalpages) |
| { |
| struct data_t data = {}; |
| u32 pid = bpf_get_current_pid_tgid(); |
| data.fpid = pid; |
| data.tpid = p->pid; |
| data.pages = totalpages; |
| bpf_get_current_comm(&data.fcomm, sizeof(data.fcomm)); |
| bpf_probe_read(&data.tcomm, sizeof(data.tcomm), p->comm); |
| events.perf_submit(ctx, &data, sizeof(data)); |
| } |
| """ |
| |
| # kernel->user event data: struct data_t |
| TASK_COMM_LEN = 16 # linux/sched.h |
| class Data(ct.Structure): |
| _fields_ = [ |
| ("fpid", ct.c_ulonglong), |
| ("tpid", ct.c_ulonglong), |
| ("pages", ct.c_ulonglong), |
| ("fcomm", ct.c_char * TASK_COMM_LEN), |
| ("tcomm", ct.c_char * TASK_COMM_LEN) |
| ] |
| |
| # process event |
| def print_event(cpu, data, size): |
| event = ct.cast(data, ct.POINTER(Data)).contents |
| with open(loadavg) as stats: |
| avgline = stats.read().rstrip() |
| print(("%s Triggered by PID %d (\"%s\"), OOM kill of PID %d (\"%s\")" |
| ", %d pages, loadavg: %s") % (strftime("%H:%M:%S"), event.fpid, |
| event.fcomm.decode(), event.tpid, event.tcomm.decode(), event.pages, |
| avgline)) |
| |
| # initialize BPF |
| b = BPF(text=bpf_text) |
| print("Tracing OOM kills... Ctrl-C to stop.") |
| b["events"].open_perf_buffer(print_event) |
| while 1: |
| b.perf_buffer_poll() |