bcc-softirqs - Man Page
Measure soft IRQ (soft interrupt) event time. Uses Linux eBPF/bcc.
Synopsis
softirqs [-h] [-T] [-N] [-C] [-d] [-c CPU] [interval] [count]
Description
This summarizes the time spent servicing soft IRQs (soft interrupts), and can show this time as either totals or histogram distributions. A system-wide summary of this time is shown by the %soft column of mpstat(1), and soft IRQ event counts (but not times) are available in /proc/softirqs.
This tool uses the irq:softirq_enter and irq:softirq_exit kernel tracepoints, which is a stable tracing mechanism. BPF programs can attach to tracepoints from Linux 4.7 only. An older version of this tool is available in tools/old, and uses kprobes instead of tracepoints.
Since this uses BPF, only the root user can use this tool.
Requirements
CONFIG_BPF and bcc.
Options
- -h
Print usage message.
- -T
Include timestamps on output.
- -N
Output in nanoseconds.
- -C
Show the number of soft irq events.
- -d
Show IRQ time distribution as histograms.
- -c CPU
Trace on this CPU only.
Examples
- Sum soft IRQ event time until Ctrl-C:
# softirqs
- Show the number of soft irq events:
# softirqs -C
- Show soft IRQ event time as histograms:
# softirqs -d
- Print 1 second summaries, 10 times:
# softirqs 1 10
- 1 second summaries, printed in nanoseconds, with timestamps:
# softirqs -NT 1
- Sum soft IRQ event time on CPU 1 until Ctrl-C:
# softirqs -c 1
Fields
- SOFTIRQ
The kernel function name that performs the soft IRQ action.
- TOTAL_usecs
Total time spent in this soft IRQ function in microseconds.
- TOTAL_nsecs
Total time spent in this soft IRQ function in nanoseconds.
- usecs
Range of microseconds for this bucket.
- nsecs
Range of nanoseconds for this bucket.
- count
Number of soft IRQs in this time range.
- distribution
ASCII representation of the distribution (the count column).
Overhead
This traces kernel functions and maintains in-kernel counts, which are asynchronously copied to user-space. While the rate of interrupts be very high (>1M/sec), this is a relatively efficient way to trace these events, and so the overhead is expected to be small for normal workloads, but could become noticeable for heavy workloads. Measure in a test environment before use.
Source
This is from bcc.
https://github.com/iovisor/bcc
Also look in the bcc distribution for a companion _examples.txt file containing example usage, output, and commentary for this tool.
OS
Linux
Stability
Unstable - in development.
Authors
Brendan Gregg, Sasha Goldshtein, Rocky Xing
See Also
hardirqs(8)