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android / platform / external / bcc / refs/heads/simpleperf-release / . / tools / netqtop_example.txt
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Demonstrations of netqtop.
netqtop traces the kernel functions performing packet transmit (xmit_one)
and packet receive (__netif_receive_skb_core) on data link layer. The tool
not only traces every packet via a specified network interface, but also accounts
the PPS, BPS and average size of packets as well as packet amounts (categorized by
size range) on sending and receiving direction respectively. Results are printed
as tables, which can be used to understand traffic load allocation on each queue
of interested network interface to see if it is balanced. And the overall performance
is provided in the buttom.
For example, suppose you want to know current traffic on lo, and print result
every second:
# ./netqtop.py -n lo -i 1
Thu Sep 10 11:28:39 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 88 0 9 0 0 0
Total 88 0 9 0 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 74 4 5 0 0 0
Total 74 4 5 0 0 0
----------------------------------------------------------------------------
Thu Sep 10 11:28:40 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 233 0 3 1 0 0
Total 233 0 3 1 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 219 2 1 1 0 0
Total 219 2 1 1 0 0
----------------------------------------------------------------------------
or you can just use the default mode
# ./netqtop.py -n lo
Thu Sep 10 11:27:45 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 92 0 7 0 0 0
Total 92 0 7 0 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 78 3 4 0 0 0
Total 78 3 4 0 0 0
----------------------------------------------------------------------------
Thu Sep 10 11:27:46 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 179 0 5 1 0 0
Total 179 0 5 1 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 165 3 2 1 0 0
Total 165 3 2 1 0 0
----------------------------------------------------------------------------
This NIC only has 1 queue.
If you want the tool to print results after a longer interval, specify seconds with -i:
# ./netqtop.py -n lo -i 3
Thu Sep 10 11:31:26 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 85 0 11 0 0 0
Total 85 0 11 0 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 71 5 6 0 0 0
Total 71 5 6 0 0 0
----------------------------------------------------------------------------
Thu Sep 10 11:31:29 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 153 0 7 1 0 0
Total 153 0 7 1 0 0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K)
0 139 4 3 1 0 0
Total 139 4 3 1 0 0
----------------------------------------------------------------------------
To see PPS and BPS of each queue, use -t:
# ./netqtop.py -n lo -i 1 -t
Thu Sep 10 11:37:02 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 114 0 10 0 0 0 1.11K 10.0
Total 114 0 10 0 0 0 1.11K 10.0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 100 4 6 0 0 0 1000.0 10.0
Total 100 4 6 0 0 0 1000.0 10.0
-----------------------------------------------------------------------------------------------
Thu Sep 10 11:37:03 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 271 0 3 1 0 0 1.06K 4.0
Total 271 0 3 1 0 0 1.06K 4.0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 257 2 1 1 0 0 1.0K 4.0
Total 257 2 1 1 0 0 1.0K 4.0
-----------------------------------------------------------------------------------------------
When filtering multi-queue NICs, you do not need to specify the number of queues,
the tool calculates it for you:
# ./netqtop.py -n eth0 -t
Thu Sep 10 11:39:21 2020
TX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 0 0 0 0 0 0 0.0 0.0
1 0 0 0 0 0 0 0.0 0.0
2 0 0 0 0 0 0 0.0 0.0
3 0 0 0 0 0 0 0.0 0.0
4 0 0 0 0 0 0 0.0 0.0
5 0 0 0 0 0 0 0.0 0.0
6 0 0 0 0 0 0 0.0 0.0
7 0 0 0 0 0 0 0.0 0.0
8 54 2 0 0 0 0 108.0 2.0
9 161 0 9 0 0 0 1.42K 9.0
10 0 0 0 0 0 0 0.0 0.0
11 0 0 0 0 0 0 0.0 0.0
12 0 0 0 0 0 0 0.0 0.0
13 0 0 0 0 0 0 0.0 0.0
14 0 0 0 0 0 0 0.0 0.0
15 0 0 0 0 0 0 0.0 0.0
16 0 0 0 0 0 0 0.0 0.0
17 0 0 0 0 0 0 0.0 0.0
18 0 0 0 0 0 0 0.0 0.0
19 0 0 0 0 0 0 0.0 0.0
20 0 0 0 0 0 0 0.0 0.0
21 0 0 0 0 0 0 0.0 0.0
22 0 0 0 0 0 0 0.0 0.0
23 0 0 0 0 0 0 0.0 0.0
24 0 0 0 0 0 0 0.0 0.0
25 0 0 0 0 0 0 0.0 0.0
26 0 0 0 0 0 0 0.0 0.0
27 0 0 0 0 0 0 0.0 0.0
28 0 0 0 0 0 0 0.0 0.0
29 0 0 0 0 0 0 0.0 0.0
30 0 0 0 0 0 0 0.0 0.0
31 0 0 0 0 0 0 0.0 0.0
Total 141 2 9 0 0 0 1.52K 11.0
RX
QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS
0 127 3 9 0 0 0 1.5K 12.0
1 0 0 0 0 0 0 0.0 0.0
2 0 0 0 0 0 0 0.0 0.0
3 0 0 0 0 0 0 0.0 0.0
4 0 0 0 0 0 0 0.0 0.0
5 0 0 0 0 0 0 0.0 0.0
6 0 0 0 0 0 0 0.0 0.0
7 0 0 0 0 0 0 0.0 0.0
8 0 0 0 0 0 0 0.0 0.0
9 0 0 0 0 0 0 0.0 0.0
10 0 0 0 0 0 0 0.0 0.0
11 0 0 0 0 0 0 0.0 0.0
12 0 0 0 0 0 0 0.0 0.0
13 0 0 0 0 0 0 0.0 0.0
14 0 0 0 0 0 0 0.0 0.0
15 0 0 0 0 0 0 0.0 0.0
16 0 0 0 0 0 0 0.0 0.0
17 0 0 0 0 0 0 0.0 0.0
18 0 0 0 0 0 0 0.0 0.0
19 0 0 0 0 0 0 0.0 0.0
20 0 0 0 0 0 0 0.0 0.0
21 0 0 0 0 0 0 0.0 0.0
22 0 0 0 0 0 0 0.0 0.0
23 0 0 0 0 0 0 0.0 0.0
24 0 0 0 0 0 0 0.0 0.0
25 0 0 0 0 0 0 0.0 0.0
26 0 0 0 0 0 0 0.0 0.0
27 0 0 0 0 0 0 0.0 0.0
28 0 0 0 0 0 0 0.0 0.0
29 0 0 0 0 0 0 0.0 0.0
30 0 0 0 0 0 0 0.0 0.0
31 0 0 0 0 0 0 0.0 0.0
Total 127 3 9 0 0 0 1.5K 12.0
-----------------------------------------------------------------------------------------------