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1 // SPDX-License-Identifier: GPL-3.0-or-later
2
3 #ifndef NETDATA_API_QUERIES_MEDIAN_H
4 #define NETDATA_API_QUERIES_MEDIAN_H
5
6 #include "../query.h"
7 #include "../rrdr.h"
8
9 struct tg_median {
10 size_t series_size;
11 size_t next_pos;
12 NETDATA_DOUBLE percent;
13
14 NETDATA_DOUBLE *series;
15 };
16
17 static inline void tg_median_create_internal(RRDR *r, const char *options, NETDATA_DOUBLE def) {
18 long entries = r->view.group;
19 if(entries < 10) entries = 10;
20
21 struct tg_median *g = (struct tg_median *)onewayalloc_callocz(r->internal.owa, 1, sizeof(struct tg_median));
22 g->series = onewayalloc_mallocz(r->internal.owa, entries * sizeof(NETDATA_DOUBLE));
23 g->series_size = (size_t)entries;
24
25 g->percent = def;
26 if(options && *options) {
27 g->percent = str2ndd(options, NULL);
28 if(!netdata_double_isnumber(g->percent)) g->percent = 0.0;
29 if(g->percent < 0.0) g->percent = 0.0;
30 if(g->percent > 50.0) g->percent = 50.0;
31 }
32
33 g->percent = g->percent / 100.0;
34 r->time_grouping.data = g;
35 }
36
37 static inline void tg_median_create(RRDR *r, const char *options) {
38 tg_median_create_internal(r, options, 0.0);
39 }
40 static inline void tg_median_create_trimmed_1(RRDR *r, const char *options) {
41 tg_median_create_internal(r, options, 1.0);
42 }
43 static inline void tg_median_create_trimmed_2(RRDR *r, const char *options) {
44 tg_median_create_internal(r, options, 2.0);
45 }
46 static inline void tg_median_create_trimmed_3(RRDR *r, const char *options) {
47 tg_median_create_internal(r, options, 3.0);
48 }
49 static inline void tg_median_create_trimmed_5(RRDR *r, const char *options) {
50 tg_median_create_internal(r, options, 5.0);
51 }
52 static inline void tg_median_create_trimmed_10(RRDR *r, const char *options) {
53 tg_median_create_internal(r, options, 10.0);
54 }
55 static inline void tg_median_create_trimmed_15(RRDR *r, const char *options) {
56 tg_median_create_internal(r, options, 15.0);
57 }
58 static inline void tg_median_create_trimmed_20(RRDR *r, const char *options) {
59 tg_median_create_internal(r, options, 20.0);
60 }
61 static inline void tg_median_create_trimmed_25(RRDR *r, const char *options) {
62 tg_median_create_internal(r, options, 25.0);
63 }
64
65 // resets when switches dimensions
66 // so, clear everything to restart
67 static inline void tg_median_reset(RRDR *r) {
68 struct tg_median *g = (struct tg_median *)r->time_grouping.data;
69 g->next_pos = 0;
70 }
71
72 static inline void tg_median_free(RRDR *r) {
73 struct tg_median *g = (struct tg_median *)r->time_grouping.data;
74 if(g) onewayalloc_freez(r->internal.owa, g->series);
75
76 onewayalloc_freez(r->internal.owa, r->time_grouping.data);
77 r->time_grouping.data = NULL;
78 }
79
80 static inline void tg_median_add(RRDR *r, NETDATA_DOUBLE value) {
81 struct tg_median *g = (struct tg_median *)r->time_grouping.data;
82
83 if(unlikely(g->next_pos >= g->series_size)) {
84 g->series = onewayalloc_doublesize( r->internal.owa, g->series, g->series_size * sizeof(NETDATA_DOUBLE));
85 g->series_size *= 2;
86 }
87
88 g->series[g->next_pos++] = value;
89 }
90
91 static inline NETDATA_DOUBLE tg_median_flush(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
92 struct tg_median *g = (struct tg_median *)r->time_grouping.data;
93
94 size_t available_slots = g->next_pos;
95 NETDATA_DOUBLE value;
96
97 if(unlikely(!available_slots)) {
98 value = 0.0;
99 *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
100 }
101 else if(available_slots == 1) {
102 value = g->series[0];
103 }
104 else {
105 sort_series(g->series, available_slots);
106
107 size_t start_slot = 0;
108 size_t end_slot = available_slots - 1;
109
110 if(g->percent > 0.0) {
111 NETDATA_DOUBLE min = g->series[0];
112 NETDATA_DOUBLE max = g->series[available_slots - 1];
113 NETDATA_DOUBLE delta = (max - min) * g->percent;
114
115 NETDATA_DOUBLE wanted_min = min + delta;
116 NETDATA_DOUBLE wanted_max = max - delta;
117
118 for (start_slot = 0; start_slot < available_slots; start_slot++)
119 if (g->series[start_slot] >= wanted_min) break;
120
121 for (end_slot = available_slots - 1; end_slot > start_slot; end_slot--)
122 if (g->series[end_slot] <= wanted_max) break;
123 }
124
125 if(start_slot == end_slot)
126 value = g->series[start_slot];
127 else
128 value = median_on_sorted_series(&g->series[start_slot], end_slot - start_slot + 1);
129 }
130
131 if(unlikely(!netdata_double_isnumber(value))) {
132 value = 0.0;
133 *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
134 }
135
136 //log_series_to_stderr(g->series, g->next_pos, value, "median");
137
138 g->next_pos = 0;
139
140 return value;
141 }
142
143 #endif //NETDATA_API_QUERIES_MEDIAN_H