3 static inline char *softnet_column_name(uint32_t column) {
5 // https://github.com/torvalds/linux/blob/a7fd20d1c476af4563e66865213474a2f9f473a4/net/core/net-procfs.c#L161-L166
6 case 0: return "processed";
7 case 1: return "dropped";
8 case 2: return "squeezed";
9 case 9: return "received_rps";
10 case 10: return "flow_limit_count";
15 int do_proc_net_softnet_stat(int update_every, usec_t dt) {
18 static procfile *ff = NULL;
19 static int do_per_core = -1;
20 static uint32_t allocated_lines = 0, allocated_columns = 0, *data = NULL;
22 if(unlikely(do_per_core == -1)) do_per_core = config_get_boolean("plugin:proc:/proc/net/softnet_stat", "softnet_stat per core", 1);
25 char filename[FILENAME_MAX + 1];
26 snprintfz(filename, FILENAME_MAX, "%s%s", global_host_prefix, "/proc/net/softnet_stat");
27 ff = procfile_open(config_get("plugin:proc:/proc/net/softnet_stat", "filename to monitor", filename), " \t", PROCFILE_FLAG_DEFAULT);
28 if(unlikely(!ff)) return 1;
31 ff = procfile_readall(ff);
32 if(unlikely(!ff)) return 0; // we return 0, so that we will retry to open it next time
34 uint32_t lines = procfile_lines(ff), l;
35 uint32_t words = procfile_linewords(ff, 0), w;
37 if(unlikely(!lines || !words)) {
38 error("Cannot read /proc/net/softnet_stat, %u lines and %u columns reported.", lines, words);
42 if(unlikely(lines > 200)) lines = 200;
43 if(unlikely(words > 50)) words = 50;
45 if(unlikely(!data || lines > allocated_lines || words > allocated_columns)) {
47 allocated_lines = lines;
48 allocated_columns = words;
49 data = mallocz((allocated_lines + 1) * allocated_columns * sizeof(uint32_t));
53 memset(data, 0, (allocated_lines + 1) * allocated_columns * sizeof(uint32_t));
56 for(l = 0; l < lines ;l++) {
57 words = procfile_linewords(ff, l);
58 if(unlikely(!words)) continue;
60 if(unlikely(words > allocated_columns))
61 words = allocated_columns;
63 for(w = 0; w < words ; w++) {
64 if(unlikely(softnet_column_name(w))) {
65 uint32_t t = strtoul(procfile_lineword(ff, l, w), NULL, 16);
67 data[((l + 1) * allocated_columns) + w] = t;
72 if(unlikely(data[(lines * allocated_columns)] == 0))
77 // --------------------------------------------------------------------
79 st = rrdset_find_bytype("system", "softnet_stat");
81 st = rrdset_create("system", "softnet_stat", NULL, "softnet_stat", NULL, "System softnet_stat", "events/s", 955, update_every, RRDSET_TYPE_LINE);
82 for(w = 0; w < allocated_columns ;w++)
83 if(unlikely(softnet_column_name(w)))
84 rrddim_add(st, softnet_column_name(w), NULL, 1, 1, RRDDIM_INCREMENTAL);
88 for(w = 0; w < allocated_columns ;w++)
89 if(unlikely(softnet_column_name(w)))
90 rrddim_set(st, softnet_column_name(w), data[w]);
95 for(l = 0; l < lines ;l++) {
97 snprintfz(id, 50, "cpu%u_softnet_stat", l);
99 st = rrdset_find_bytype("cpu", id);
102 snprintfz(title, 100, "CPU%u softnet_stat", l);
104 st = rrdset_create("cpu", id, NULL, "softnet_stat", NULL, title, "events/s", 4101 + l, update_every, RRDSET_TYPE_LINE);
105 for(w = 0; w < allocated_columns ;w++)
106 if(unlikely(softnet_column_name(w)))
107 rrddim_add(st, softnet_column_name(w), NULL, 1, 1, RRDDIM_INCREMENTAL);
109 else rrdset_next(st);
111 for(w = 0; w < allocated_columns ;w++)
112 if(unlikely(softnet_column_name(w)))
113 rrddim_set(st, softnet_column_name(w), data[((l + 1) * allocated_columns) + w]);