Stuart's Semi-Professional Blog: Groovy SNMPwalk Helper Functions

tl;dr - Go here.

I've been doing a lot of SNMP polling through Groovy lately. One of the methods I use most often is Snmp.walkAsMap(), which returns a map that looks like this:

[8.6:2, 4.10:1500, 8.7:1, 8.8:1, 4.12:1500, 4.14:1500, 4.16:1500, 3.44:6, 22.5:0.0, 22.4:0.0, 
22.3:0.0, 22.2:0.0, 22.1:0.0, 22.8:0.0, 22.7:0.0, 22.6:0.0, 17.16:164136, 16.44:6639007, 17.12:8634086, 
18.8:0, 17.14:8745523, 18.7:0, 17.10:21076, 10.6:0, 10.5:0, 10.4:0, 10.3:0, 10.2:3968863511, 10.1:8980402, 
22.44:0.0, 18.6:0, 18.5:0, 7.1:1, 18.4:0, 7.2:1, 18.3:0, 7.3:1, 18.2:0, 7.4:1, 18.1:0, 7.5:1, 10.8:1684285, 
7.6:2, 10.7:4181064938, 7.7:1, 7.8:1, 15.44:0, 16.12:2114735865, 16.10:4077101, 16.16:16467729, 
16.14:2361323502, 22.14:0.0, 22.16:0.0, 9.44:2 days, 14:54:42.04, 21.6:0, 21.5:0, 21.4:0, 21.3:0, 
21.2:0, 21.1:0, 22.10:0.0, 22.12:0.0, 21.44:0, 21.8:0, 21.7:0, 5.10:4294967295, 4.44:1500, 5.12:4294967295, 
5.14:4294967295, 11.10:0, 5.16:4294967295, 10.44:1620014, 11.12:12487957, 17.8:30812, 11.14:12673362, 
17.7:17502386, 6.1:, 17.6:0, 6.2:90:e6:ba:59:1b:18, 11.16:136053, 17.5:0, 6.3:00:50:56:c0:00:01, 
17.4:20226, 6.4:00:50:56:c0:00:08, 17.3:20229, 6.5:52:54:00:9b:4b:e0, 17.2:37200831, 6.6:52:54:00:9b:4b:e0, 
17.1:44466, 6.7:02:42:39:1b:cc:e3, 6.8:02:42:55:44:3f:06, 10.10:0, 20.7:0, 20.6:0, 20.5:0, 20.4:0, 20.3:0, 
20.2:0, 20.1:0, 10.12:30849041, 10.14:131456967, 10.16:77954842, 20.8:0, 5.1:10000000, 16.8:17045376, 
5.2:100000000, 16.7:189459674, 5.3:0, 16.6:0, 5.4:0, 16.5:0, 5.5:0, 16.4:0, 5.6:10000000, 16.3:0, 5.7:0, 
16.2:1009509757, 5.8:0, 16.1:8980402, 6.12:4e:c1:4e:e6:07:90, 5.44:4294967295, 6.14:0a:2c:4f:3a:eb:5c, 
6.16:12:db:e0:82:ca:a2, 19.44:0, 6.10:06:31:50:31:a5:fb, 15.12:0, 14.44:0, 15.10:0, 21.16:0, 15.16:0, 
21.14:0, 15.14:0, 20.44:0, 21.12:0, 1.12:12, 1.10:10, 15.1:0, 4.1:65536, 4.2:1500, 4.3:1500, 15.8:0, 
21.10:0, 4.4:1500, 15.7:0, 4.5:1500, 15.6:0, 4.6:1500, 15.5:0, 4.7:1500, 15.4:0, 4.8:1500, 15.3:0, 
15.2:0, 14.10:0, 20.16:0, 14.14:0, 20.14:0, 13.44:0, 14.12:0, 20.12:0, 1.16:16, 1.14:14, 20.10:0, 14.16:0, 
6.44:62:d0:3f:14:ef:85, 7.12:1, 7.14:1, 7.16:1, 7.10:1, 14.2:0, 14.1:0, 3.1:24, 3.2:6, 3.3:6, 3.4:6, 3.5:6, 
14.8:0, 3.6:6, 14.7:0, 3.7:6, 14.6:0, 3.8:6, 14.5:0, 14.4:0, 14.3:0, 2.14:veth9a64fa1, 2.12:veth2bc8fbd, 
1.44:44, 2.10:veth92ca0b0, 19.14:0, 19.16:0, 19.10:0, 19.12:0, 18.44:0, 13.3:0, 13.2:0, 13.1:0, 2.1:lo, 
2.2:NVIDIA Corporation MCP77 Ethernet, 2.16:veth497df7f, 2.3:vmnet1, 2.4:vmnet8, 2.5:virbr0, 2.6:virbr0-nic, 
2.7:br-6a2604a91ac1, 13.8:0, 2.8:docker0, 13.7:0, 13.6:0, 13.5:0, 13.4:0, 18.16:0, 8.16:1, 8.14:1, 
17.44:18857, 18.12:0, 18.14:0, 18.10:0, 8.12:1, 7.44:1, 8.10:1, 13.10:0, 12.44:0, 13.14:0, 13.12:0, 
3.14:6, 2.44:vethd608288, 3.12:6, 3.10:6, 12.4:0, 12.3:0, 12.2:2662, 12.1:0, 1.1:1, 1.2:2, 1.3:3, 1.4:4, 
1.5:5, 1.6:6, 1.7:7, 1.8:8, 13.16:0, 9.1:0:00:00.00, 12.8:0, 9.2:0:00:00.00, 12.7:0, 9.3:0:00:06.31, 12.6:0, 
9.4:0:00:06.31, 12.5:0, 9.5:0:00:09.32, 9.6:0:00:12.32, 9.7:3:03:43.67, 9.8:0:00:18.32, 12.10:0, 11.44:4506, 
12.12:0, 3.16:6, 12.14:0, 12.16:0, 9.16:3:03:43.67, 9.14:3:03:43.67, 19.8:0, 19.7:0, 19.6:0, 8.44:1, 
9.12:3:03:43.67, 9.10:0:00:18.32, 11.5:0, 11.4:0, 11.3:0, 11.2:28692938, 11.1:44466, 19.5:0, 19.4:0, 
19.3:0, 8.1:1, 19.2:0, 8.2:1, 19.1:0, 8.3:1, 11.8:6882, 8.4:1, 11.7:25297372, 8.5:2, 11.6:0]

This great and usable, but I found myself constantly wanting to display the data easier. I also wanted the data to be structured a little more hierarchically, grouping by row in the SNMP table. I also wanted to make it easier to address individual pieces of the data. I built a couple helper functions that transform the data and make it easier to address. They can be found here.

The output of the snmpMapToTable() function looks like this:

[6:[8:2, 22:0.0, 10:0, 18:0, 7:2, 21:0, 17:0, 6:52:54:00:9b:4b:e0, 20:0, 16:0, 5:10000000, 15:0, 4:1500, 
3:6, 14:0, 2:virbr0-nic, 13:0, 1:6, 12:0, 9:0:00:12.32, 19:0, 11:0], 10:[4:1500, 17:21076, 16:4077101, 22:0.0, 
5:4294967295, 11:0, 10:0, 6:06:31:50:31:a5:fb, 15:0, 1:10, 21:0, 14:0, 20:0, 7:1, 2:veth92ca0b0, 19:0, 18:0, 
8:1, 13:0, 3:6, 12:0, 9:0:00:18.32], 7:[8:1, 22:0.0, 18:0, 10:4181064938, 7:1, 21:0, 17:17502386, 
6:02:42:39:1b:cc:e3, 20:0, 16:189459674, 5:0, 15:0, 4:1500, 14:0, 3:6, 2:br-6a2604a91ac1, 13:0, 1:7, 
12:0, 9:3:03:43.67, 19:0, 11:25297372], 8:[8:1, 22:0.0, 18:0, 10:1684285, 7:1, 21:0, 17:30812, 
6:02:42:55:44:3f:06, 20:0, 16:17045376, 5:0, 15:0, 4:1500, 14:0, 3:6, 13:0, 2:docker0, 1:8, 12:0, 
9:0:00:18.32, 19:0, 11:6882], 12:[4:1500, 17:8634086, 16:2114735865, 22:0.0, 5:4294967295, 
11:12487957, 10:30849041, 6:4e:c1:4e:e6:07:90, 15:0, 21:0, 1:12, 14:0, 20:0, 7:1, 2:veth2bc8fbd, 
19:0, 18:0, 8:1, 13:0, 3:6, 12:0, 9:3:03:43.67], 14:[4:1500, 17:8745523, 16:2361323502, 22:0.0, 
5:4294967295, 11:12673362, 10:131456967, 6:0a:2c:4f:3a:eb:5c, 21:0, 15:0, 14:0, 20:0, 1:14, 7:1, 
2:veth9a64fa1, 19:0, 8:1, 18:0, 13:0, 3:6, 12:0, 9:3:03:43.67], 16:[4:1500, 17:164136, 16:16467729, 
22:0.0, 5:4294967295, 11:136053, 10:77954842, 6:12:db:e0:82:ca:a2, 21:0, 15:0, 20:0, 1:16, 14:0, 
7:1, 19:0, 2:veth497df7f, 18:0, 8:1, 13:0, 3:6, 12:0, 9:3:03:43.67], 44:[3:6, 16:6639007, 22:0.0, 
15:0, 9:2 days, 14:54:42.04, 21:0, 4:1500, 10:1620014, 5:4294967295, 19:0, 14:0, 20:0, 
13:0, 6:62:d0:3f:14:ef:85, 1:44, 18:0, 17:18857, 7:1, 12:0, 2:vethd608288, 11:4506, 8:1], 5:[22:0.0, 
10:0, 18:0, 7:1, 21:0, 17:0, 6:52:54:00:9b:4b:e0, 20:0, 16:0, 5:0, 4:1500, 15:0, 3:6, 14:0, 2:virbr0, 
13:0, 1:5, 12:0, 9:0:00:09.32, 11:0, 19:0, 8:2], 4:[22:0.0, 10:0, 18:0, 7:1, 21:0, 17:20226, 
6:00:50:56:c0:00:08, 20:0, 5:0, 16:0, 4:1500, 15:0, 3:6, 14:0, 2:vmnet8, 13:0, 12:0, 1:4, 9:0:00:06.31, 
11:0, 19:0, 8:1], 3:[22:0.0, 10:0, 18:0, 7:1, 21:0, 6:00:50:56:c0:00:01, 17:20229, 20:0, 5:0, 16:0, 
4:1500, 15:0, 3:6, 14:0, 13:0, 2:vmnet1, 12:0, 1:3, 9:0:00:06.31, 11:0, 19:0, 8:1], 2:[22:0.0, 
10:3968863511, 7:1, 18:0, 21:0, 6:90:e6:ba:59:1b:18, 17:37200831, 20:0, 5:100000000, 16:1009509757, 
4:1500, 15:0, 14:0, 3:6, 13:0, 2:NVIDIA Corporation MCP77 Ethernet, 12:2662, 1:2, 9:0:00:00.00, 
11:28692938, 19:0, 8:1], 1:[22:0.0, 10:8980402, 7:1, 18:0, 21:0, 6:, 17:44466, 20:0, 5:10000000, 
16:8980402, 15:0, 4:65536, 14:0, 3:24, 13:0, 2:lo, 12:0, 1:1, 9:0:00:00.00, 11:44466, 8:1, 19:0]]

It may not look much better, but if you add some carriage returns and tabs you get this:

[
6:[
  8:2, 22:0.0, 10:0, 18:0, 7:2, 21:0, 17:0, 6:52:54:00:9b:4b:e0, 
  20:0, 16:0, 5:10000000, 15:0, 4:1500, 3:6, 14:0, 2:virbr0-nic, 
  13:0, 1:6, 12:0, 9:0:00:12.32, 19:0, 11:0], 
10:[
  4:1500, 17:21076, 16:4077101, 22:0.0, 5:4294967295, 11:0, 10:0, 
  6:06:31:50:31:a5:fb, 15:0, 1:10, 21:0, 14:0, 20:0, 7:1, 2:veth92ca0b0, 
  19:0, 18:0, 8:1, 13:0, 3:6, 12:0, 9:0:00:18.32], 
7:[
  8:1, 22:0.0, 18:0, 10:4181064938, 7:1, 21:0, 17:17502386, 6:02:42:39:1b:cc:e3, 
  20:0, 16:189459674, 5:0, 15:0, 4:1500, 14:0, 3:6, 2:br-6a2604a91ac1, 13:0, 1:7, 
  12:0, 9:3:03:43.67, 19:0, 11:25297372], 
8:[
  8:1, 22:0.0, 18:0, 10:1684285, 7:1, 21:0, 17:30812, 6:02:42:55:44:3f:06, 20:0, 
  16:17045376, 5:0, 15:0, 4:1500, 14:0, 3:6, 13:0, 2:docker0, 1:8, 12:0, 9:0:00:18.32, 
  19:0, 11:6882], 
12:[
  4:1500, 17:8634086, 16:2114735865, 22:0.0, 5:4294967295, 11:12487957, 10:30849041, 
  6:4e:c1:4e:e6:07:90, 15:0, 21:0, 1:12, 14:0, 20:0, 7:1, 2:veth2bc8fbd, 19:0, 18:0, 8:1, 
  13:0, 3:6, 12:0, 9:3:03:43.67], 
14:[
  4:1500, 17:8745523, 16:2361323502, 22:0.0, 5:4294967295, 11:12673362, 10:131456967, 
  6:0a:2c:4f:3a:eb:5c, 21:0, 15:0, 14:0, 20:0, 1:14, 7:1, 2:veth9a64fa1, 19:0, 8:1, 18:0, 
  13:0, 3:6, 12:0, 9:3:03:43.67], 
16:[
  4:1500, 17:164136, 16:16467729, 22:0.0, 5:4294967295, 11:136053, 10:77954842, 
  6:12:db:e0:82:ca:a2, 21:0, 15:0, 20:0, 1:16, 14:0, 7:1, 19:0, 2:veth497df7f, 18:0, 
  8:1, 13:0, 3:6, 12:0, 9:3:03:43.67], 
44:[
  3:6, 16:6639007, 22:0.0, 15:0, 9:2 days, 14:54:42.04, 21:0, 4:1500, 10:1620014, 
  5:4294967295, 19:0, 14:0, 20:0, 13:0, 6:62:d0:3f:14:ef:85, 1:44, 18:0, 17:18857, 
  7:1, 12:0, 2:vethd608288, 11:4506, 8:1], 
5:[
  22:0.0, 10:0, 18:0, 7:1, 21:0, 17:0, 6:52:54:00:9b:4b:e0, 20:0, 16:0, 5:0, 4:1500, 
  15:0, 3:6, 14:0, 2:virbr0, 13:0, 1:5, 12:0, 9:0:00:09.32, 11:0, 19:0, 8:2], 
4:[
  22:0.0, 10:0, 18:0, 7:1, 21:0, 17:20226, 6:00:50:56:c0:00:08, 20:0, 5:0, 16:0, 
  4:1500, 15:0, 3:6, 14:0, 2:vmnet8, 13:0, 12:0, 1:4, 9:0:00:06.31, 11:0, 19:0, 8:1], 
3:[
  22:0.0, 10:0, 18:0, 7:1, 21:0, 6:00:50:56:c0:00:01, 17:20229, 20:0, 5:0, 16:0, 4:1500, 
  15:0, 3:6, 14:0, 13:0, 2:vmnet1, 12:0, 1:3, 9:0:00:06.31, 11:0, 19:0, 8:1], 
2:[
  22:0.0, 10:3968863511, 7:1, 18:0, 21:0, 6:90:e6:ba:59:1b:18, 17:37200831, 20:0, 
  5:100000000, 16:1009509757, 4:1500, 15:0, 14:0, 3:6, 13:0, 
  2:NVIDIA Corporation MCP77 Ethernet, 12:2662, 1:2, 9:0:00:00.00, 11:28692938, 19:0, 8:1], 
1:[
  22:0.0, 10:8980402, 7:1, 18:0, 21:0, 6:, 17:44466, 20:0, 5:10000000, 16:8980402, 15:0, 
  4:65536, 14:0, 3:24, 13:0, 2:lo, 12:0, 1:1, 9:0:00:00.00, 11:44466, 8:1, 19:0]
]

As you can see, it's getting easier to see what's going on. At this point, it'd be nice to order by instance ID and also order by metric ID. One of the helper functions I built does just that, pprintSnmpWalkTable:

Wildvalue: 1:
Data sorted by column ID
  1.##WILDVALUE##: 1
  2.##WILDVALUE##: lo
  3.##WILDVALUE##: 24
  4.##WILDVALUE##: 65536
  5.##WILDVALUE##: 10000000
  6.##WILDVALUE##: 
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:00.00
  10.##WILDVALUE##: 8980402
  11.##WILDVALUE##: 44466
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 8980402
  17.##WILDVALUE##: 44466
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 2:
Data sorted by column ID
  1.##WILDVALUE##: 2
  2.##WILDVALUE##: NVIDIA Corporation MCP77 Ethernet
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 100000000
  6.##WILDVALUE##: 90:e6:ba:59:1b:18
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:00.00
  10.##WILDVALUE##: 3968863511
  11.##WILDVALUE##: 28692938
  12.##WILDVALUE##: 2662
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 1009509757
  17.##WILDVALUE##: 37200831
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 3:
Data sorted by column ID
  1.##WILDVALUE##: 3
  2.##WILDVALUE##: vmnet1
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 0
  6.##WILDVALUE##: 00:50:56:c0:00:01
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:06.31
  10.##WILDVALUE##: 0
  11.##WILDVALUE##: 0
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 0
  17.##WILDVALUE##: 20229
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 4:
Data sorted by column ID
  1.##WILDVALUE##: 4
  2.##WILDVALUE##: vmnet8
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 0
  6.##WILDVALUE##: 00:50:56:c0:00:08
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:06.31
  10.##WILDVALUE##: 0
  11.##WILDVALUE##: 0
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 0
  17.##WILDVALUE##: 20226
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 5:
Data sorted by column ID
  1.##WILDVALUE##: 5
  2.##WILDVALUE##: virbr0
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 0
  6.##WILDVALUE##: 52:54:00:9b:4b:e0
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 2
  9.##WILDVALUE##: 0:00:09.32
  10.##WILDVALUE##: 0
  11.##WILDVALUE##: 0
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 0
  17.##WILDVALUE##: 0
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 6:
Data sorted by column ID
  1.##WILDVALUE##: 6
  2.##WILDVALUE##: virbr0-nic
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 10000000
  6.##WILDVALUE##: 52:54:00:9b:4b:e0
  7.##WILDVALUE##: 2
  8.##WILDVALUE##: 2
  9.##WILDVALUE##: 0:00:12.32
  10.##WILDVALUE##: 0
  11.##WILDVALUE##: 0
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 0
  17.##WILDVALUE##: 0
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 7:
Data sorted by column ID
  1.##WILDVALUE##: 7
  2.##WILDVALUE##: br-6a2604a91ac1
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 0
  6.##WILDVALUE##: 02:42:39:1b:cc:e3
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 3:03:43.67
  10.##WILDVALUE##: 4181064938
  11.##WILDVALUE##: 25297372
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 189459674
  17.##WILDVALUE##: 17502386
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 8:
Data sorted by column ID
  1.##WILDVALUE##: 8
  2.##WILDVALUE##: docker0
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 0
  6.##WILDVALUE##: 02:42:55:44:3f:06
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:18.32
  10.##WILDVALUE##: 1684285
  11.##WILDVALUE##: 6882
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 17045376
  17.##WILDVALUE##: 30812
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 10:
Data sorted by column ID
  1.##WILDVALUE##: 10
  2.##WILDVALUE##: veth92ca0b0
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 4294967295
  6.##WILDVALUE##: 06:31:50:31:a5:fb
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 0:00:18.32
  10.##WILDVALUE##: 0
  11.##WILDVALUE##: 0
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 4077101
  17.##WILDVALUE##: 21076
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 12:
Data sorted by column ID
  1.##WILDVALUE##: 12
  2.##WILDVALUE##: veth2bc8fbd
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 4294967295
  6.##WILDVALUE##: 4e:c1:4e:e6:07:90
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 3:03:43.67
  10.##WILDVALUE##: 30849041
  11.##WILDVALUE##: 12487957
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 2114735865
  17.##WILDVALUE##: 8634086
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 14:
Data sorted by column ID
  1.##WILDVALUE##: 14
  2.##WILDVALUE##: veth9a64fa1
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 4294967295
  6.##WILDVALUE##: 0a:2c:4f:3a:eb:5c
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 3:03:43.67
  10.##WILDVALUE##: 131456967
  11.##WILDVALUE##: 12673362
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 2361323502
  17.##WILDVALUE##: 8745523
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 16:
Data sorted by column ID
  1.##WILDVALUE##: 16
  2.##WILDVALUE##: veth497df7f
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 4294967295
  6.##WILDVALUE##: 12:db:e0:82:ca:a2
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 3:03:43.67
  10.##WILDVALUE##: 77954842
  11.##WILDVALUE##: 136053
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 16467729
  17.##WILDVALUE##: 164136
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0
Wildvalue: 44:
Data sorted by column ID
  1.##WILDVALUE##: 44
  2.##WILDVALUE##: vethd608288
  3.##WILDVALUE##: 6
  4.##WILDVALUE##: 1500
  5.##WILDVALUE##: 4294967295
  6.##WILDVALUE##: 62:d0:3f:14:ef:85
  7.##WILDVALUE##: 1
  8.##WILDVALUE##: 1
  9.##WILDVALUE##: 2 days, 14:54:42.04
  10.##WILDVALUE##: 1620014
  11.##WILDVALUE##: 4506
  12.##WILDVALUE##: 0
  13.##WILDVALUE##: 0
  14.##WILDVALUE##: 0
  15.##WILDVALUE##: 0
  16.##WILDVALUE##: 6639007
  17.##WILDVALUE##: 18857
  18.##WILDVALUE##: 0
  19.##WILDVALUE##: 0
  20.##WILDVALUE##: 0
  21.##WILDVALUE##: 0
  22.##WILDVALUE##: 0.0

For me, this is pretty easy to read and find individual values that I'm looking for. The three lines that resulted in the above output were these:

walkResult = Snmp.walkAsMap(host, Oid, props, timeout)
entryRaw = snmpMapToTable(walkResult)
pprintSnmpWalkTable(entryRaw)

Accessing the data is pretty easy now:

ifEntryRaw.each {wildvalue, data ->
 println("""Interface ${wildvalue}:
 ifAlias: ${ifXEntryRaw[wildvalue]["1"]}
 ifDescr: ${data["2"]}
 ifType: ${data["3"]}
    """)
}

This gives us the following output:

Interface 6:
 ifAlias: virbr0-nic
 ifDescr: virbr0-nic
 ifType: 6

Interface 10:
 ifAlias: veth92ca0b0
 ifDescr: veth92ca0b0
 ifType: 6

Interface 7:
 ifAlias: br-6a2604a91ac1
 ifDescr: br-6a2604a91ac1
 ifType: 6

Interface 8:
 ifAlias: docker0
 ifDescr: docker0
 ifType: 6

Interface 12:
 ifAlias: veth2bc8fbd
 ifDescr: veth2bc8fbd
 ifType: 6

Interface 14:
 ifAlias: veth9a64fa1
 ifDescr: veth9a64fa1
 ifType: 6

Interface 16:
 ifAlias: veth497df7f
 ifDescr: veth497df7f
 ifType: 6

Interface 44:
 ifAlias: vethd608288
 ifDescr: vethd608288
 ifType: 6

Interface 5:
 ifAlias: virbr0
 ifDescr: virbr0
 ifType: 6

Interface 4:
 ifAlias: vmnet8
 ifDescr: vmnet8
 ifType: 6

Interface 3:
 ifAlias: vmnet1
 ifDescr: vmnet1
 ifType: 6

Interface 2:
 ifAlias: enp0s10
 ifDescr: NVIDIA Corporation MCP77 Ethernet
 ifType: 6

Interface 1:
 ifAlias: lo
 ifDescr: lo
 ifType: 24

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Tuesday, September 3, 2019

Groovy SNMPwalk Helper Functions

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