Hao | ba73657 | 2020-09-12 02:05:29 +0800 | [diff] [blame] | 1 | Demonstrations of netqtop. |
| 2 | |
| 3 | |
| 4 | netqtop traces the kernel functions performing packet transmit (xmit_one) |
| 5 | and packet receive (__netif_receive_skb_core) on data link layer. The tool |
| 6 | not only traces every packet via a specified network interface, but also accounts |
| 7 | the PPS, BPS and average size of packets as well as packet amounts (categorized by |
| 8 | size range) on sending and receiving direction respectively. Results are printed |
| 9 | as tables, which can be used to understand traffic load allocation on each queue |
| 10 | of interested network interface to see if it is balanced. And the overall performance |
| 11 | is provided in the buttom. |
| 12 | |
| 13 | For example, suppose you want to know current traffic on lo, and print result |
| 14 | every second: |
| 15 | # ./netqtop.py -n lo -i 1 |
| 16 | Thu Sep 10 11:28:39 2020 |
| 17 | TX |
| 18 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 19 | 0 88 0 9 0 0 0 |
| 20 | Total 88 0 9 0 0 0 |
| 21 | |
| 22 | RX |
| 23 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 24 | 0 74 4 5 0 0 0 |
| 25 | Total 74 4 5 0 0 0 |
| 26 | ---------------------------------------------------------------------------- |
| 27 | Thu Sep 10 11:28:40 2020 |
| 28 | TX |
| 29 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 30 | 0 233 0 3 1 0 0 |
| 31 | Total 233 0 3 1 0 0 |
| 32 | |
| 33 | RX |
| 34 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 35 | 0 219 2 1 1 0 0 |
| 36 | Total 219 2 1 1 0 0 |
| 37 | ---------------------------------------------------------------------------- |
| 38 | |
| 39 | or you can just use the default mode |
| 40 | # ./netqtop.py -n lo |
| 41 | Thu Sep 10 11:27:45 2020 |
| 42 | TX |
| 43 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 44 | 0 92 0 7 0 0 0 |
| 45 | Total 92 0 7 0 0 0 |
| 46 | |
| 47 | RX |
| 48 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 49 | 0 78 3 4 0 0 0 |
| 50 | Total 78 3 4 0 0 0 |
| 51 | ---------------------------------------------------------------------------- |
| 52 | Thu Sep 10 11:27:46 2020 |
| 53 | TX |
| 54 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 55 | 0 179 0 5 1 0 0 |
| 56 | Total 179 0 5 1 0 0 |
| 57 | |
| 58 | RX |
| 59 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 60 | 0 165 3 2 1 0 0 |
| 61 | Total 165 3 2 1 0 0 |
| 62 | ---------------------------------------------------------------------------- |
| 63 | |
| 64 | This NIC only has 1 queue. |
| 65 | If you want the tool to print results after a longer interval, specify seconds with -i: |
| 66 | # ./netqtop.py -n lo -i 3 |
| 67 | Thu Sep 10 11:31:26 2020 |
| 68 | TX |
| 69 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 70 | 0 85 0 11 0 0 0 |
| 71 | Total 85 0 11 0 0 0 |
| 72 | |
| 73 | RX |
| 74 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 75 | 0 71 5 6 0 0 0 |
| 76 | Total 71 5 6 0 0 0 |
| 77 | ---------------------------------------------------------------------------- |
| 78 | Thu Sep 10 11:31:29 2020 |
| 79 | TX |
| 80 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 81 | 0 153 0 7 1 0 0 |
| 82 | Total 153 0 7 1 0 0 |
| 83 | |
| 84 | RX |
| 85 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) |
| 86 | 0 139 4 3 1 0 0 |
| 87 | Total 139 4 3 1 0 0 |
| 88 | ---------------------------------------------------------------------------- |
| 89 | |
| 90 | To see PPS and BPS of each queue, use -t: |
| 91 | # ./netqtop.py -n lo -i 1 -t |
| 92 | Thu Sep 10 11:37:02 2020 |
| 93 | TX |
| 94 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 95 | 0 114 0 10 0 0 0 1.11K 10.0 |
| 96 | Total 114 0 10 0 0 0 1.11K 10.0 |
| 97 | |
| 98 | RX |
| 99 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 100 | 0 100 4 6 0 0 0 1000.0 10.0 |
| 101 | Total 100 4 6 0 0 0 1000.0 10.0 |
| 102 | ----------------------------------------------------------------------------------------------- |
| 103 | Thu Sep 10 11:37:03 2020 |
| 104 | TX |
| 105 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 106 | 0 271 0 3 1 0 0 1.06K 4.0 |
| 107 | Total 271 0 3 1 0 0 1.06K 4.0 |
| 108 | |
| 109 | RX |
| 110 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 111 | 0 257 2 1 1 0 0 1.0K 4.0 |
| 112 | Total 257 2 1 1 0 0 1.0K 4.0 |
| 113 | ----------------------------------------------------------------------------------------------- |
| 114 | |
| 115 | When filtering multi-queue NICs, you do not need to specify the number of queues, |
| 116 | the tool calculates it for you: |
| 117 | # ./netqtop.py -n eth0 -t |
| 118 | Thu Sep 10 11:39:21 2020 |
| 119 | TX |
| 120 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 121 | 0 0 0 0 0 0 0 0.0 0.0 |
| 122 | 1 0 0 0 0 0 0 0.0 0.0 |
| 123 | 2 0 0 0 0 0 0 0.0 0.0 |
| 124 | 3 0 0 0 0 0 0 0.0 0.0 |
| 125 | 4 0 0 0 0 0 0 0.0 0.0 |
| 126 | 5 0 0 0 0 0 0 0.0 0.0 |
| 127 | 6 0 0 0 0 0 0 0.0 0.0 |
| 128 | 7 0 0 0 0 0 0 0.0 0.0 |
| 129 | 8 54 2 0 0 0 0 108.0 2.0 |
| 130 | 9 161 0 9 0 0 0 1.42K 9.0 |
| 131 | 10 0 0 0 0 0 0 0.0 0.0 |
| 132 | 11 0 0 0 0 0 0 0.0 0.0 |
| 133 | 12 0 0 0 0 0 0 0.0 0.0 |
| 134 | 13 0 0 0 0 0 0 0.0 0.0 |
| 135 | 14 0 0 0 0 0 0 0.0 0.0 |
| 136 | 15 0 0 0 0 0 0 0.0 0.0 |
| 137 | 16 0 0 0 0 0 0 0.0 0.0 |
| 138 | 17 0 0 0 0 0 0 0.0 0.0 |
| 139 | 18 0 0 0 0 0 0 0.0 0.0 |
| 140 | 19 0 0 0 0 0 0 0.0 0.0 |
| 141 | 20 0 0 0 0 0 0 0.0 0.0 |
| 142 | 21 0 0 0 0 0 0 0.0 0.0 |
| 143 | 22 0 0 0 0 0 0 0.0 0.0 |
| 144 | 23 0 0 0 0 0 0 0.0 0.0 |
| 145 | 24 0 0 0 0 0 0 0.0 0.0 |
| 146 | 25 0 0 0 0 0 0 0.0 0.0 |
| 147 | 26 0 0 0 0 0 0 0.0 0.0 |
| 148 | 27 0 0 0 0 0 0 0.0 0.0 |
| 149 | 28 0 0 0 0 0 0 0.0 0.0 |
| 150 | 29 0 0 0 0 0 0 0.0 0.0 |
| 151 | 30 0 0 0 0 0 0 0.0 0.0 |
| 152 | 31 0 0 0 0 0 0 0.0 0.0 |
| 153 | Total 141 2 9 0 0 0 1.52K 11.0 |
| 154 | |
| 155 | RX |
| 156 | QueueID avg_size [0, 64) [64, 512) [512, 2K) [2K, 16K) [16K, 64K) BPS PPS |
| 157 | 0 127 3 9 0 0 0 1.5K 12.0 |
| 158 | 1 0 0 0 0 0 0 0.0 0.0 |
| 159 | 2 0 0 0 0 0 0 0.0 0.0 |
| 160 | 3 0 0 0 0 0 0 0.0 0.0 |
| 161 | 4 0 0 0 0 0 0 0.0 0.0 |
| 162 | 5 0 0 0 0 0 0 0.0 0.0 |
| 163 | 6 0 0 0 0 0 0 0.0 0.0 |
| 164 | 7 0 0 0 0 0 0 0.0 0.0 |
| 165 | 8 0 0 0 0 0 0 0.0 0.0 |
| 166 | 9 0 0 0 0 0 0 0.0 0.0 |
| 167 | 10 0 0 0 0 0 0 0.0 0.0 |
| 168 | 11 0 0 0 0 0 0 0.0 0.0 |
| 169 | 12 0 0 0 0 0 0 0.0 0.0 |
| 170 | 13 0 0 0 0 0 0 0.0 0.0 |
| 171 | 14 0 0 0 0 0 0 0.0 0.0 |
| 172 | 15 0 0 0 0 0 0 0.0 0.0 |
| 173 | 16 0 0 0 0 0 0 0.0 0.0 |
| 174 | 17 0 0 0 0 0 0 0.0 0.0 |
| 175 | 18 0 0 0 0 0 0 0.0 0.0 |
| 176 | 19 0 0 0 0 0 0 0.0 0.0 |
| 177 | 20 0 0 0 0 0 0 0.0 0.0 |
| 178 | 21 0 0 0 0 0 0 0.0 0.0 |
| 179 | 22 0 0 0 0 0 0 0.0 0.0 |
| 180 | 23 0 0 0 0 0 0 0.0 0.0 |
| 181 | 24 0 0 0 0 0 0 0.0 0.0 |
| 182 | 25 0 0 0 0 0 0 0.0 0.0 |
| 183 | 26 0 0 0 0 0 0 0.0 0.0 |
| 184 | 27 0 0 0 0 0 0 0.0 0.0 |
| 185 | 28 0 0 0 0 0 0 0.0 0.0 |
| 186 | 29 0 0 0 0 0 0 0.0 0.0 |
| 187 | 30 0 0 0 0 0 0 0.0 0.0 |
| 188 | 31 0 0 0 0 0 0 0.0 0.0 |
| 189 | Total 127 3 9 0 0 0 1.5K 12.0 |
| 190 | ----------------------------------------------------------------------------------------------- |