I want to profile some programs under different restrictions for my research. I use perf tool to measure some counters. This profiling will go for a long time (hours), and perf tool generates too much data that I don't need. For instance:
$ perf record -e cycles,instructions,cache-misses,cpu-clock,context-switches,cpu-migrations ./stress-ng --cpu 4 --cpu-ops 10000
stress-ng: info: [6642] defaulting to a 86400 second run per stressor
stress-ng: info: [6642] dispatching hogs: 4 cpu
stress-ng: info: [6642] successful run completed in 15.57s
[ perf record: Woken up 117 times to write data ]
[ perf record: Captured and wrote 29.971 MB perf.data (~1309444 samples) ]
It is approrixmately 1.92 MBs per second. In 24 hours, it will be 165 GBs. When I used the perf report tool, I saw that it also kept function calls which I do not need. How can I make the perf-record work more lightweight and record only the data I need? I only need the analyze the following data over time to see how they change with some changes I make to system. Considering it records a lot of data, and I will use it in 24 core machines makes the data very large. Best option so far is to record periodically and analyze the perf.data to get the integers I want and delete it, but I believe there should be a better option since I can miss some profiling data in that window.
Performance counter stats for './stress-ng --cpu 4 --cpu-ops 10000':
128.290.294.651 cycles
201.217.788.817 instructions # 1,57 insns per cycle
3.048.096 cache-misses
40340,258757 cpu-clock (msec)
123 context-switches
25 cpu-migrations
10,205760993 seconds time elapsed
Does simple perf stat
output good for you? For example
$ perf stat -e cycles,instructions,cache-misses,cpu-clock,context-switches,cpu-migrations date
Sun Jan 24 18:46:10 EST 2016
Performance counter stats for 'date':
1,269,265 cycles
660,875 instructions # 0.52 insns per cycle
2,265 cache-misses
0.644391 cpu-clock (msec)
2 context-switches
1 cpu-migrations
0.001031207 seconds time elapsed
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