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-rw-r--r--web/api/queries/median/median.h146
1 files changed, 133 insertions, 13 deletions
diff --git a/web/api/queries/median/median.h b/web/api/queries/median/median.h
index 9fc159db..3d6d3592 100644
--- a/web/api/queries/median/median.h
+++ b/web/api/queries/median/median.h
@@ -6,18 +6,138 @@
#include "../query.h"
#include "../rrdr.h"
-void grouping_create_median(RRDR *r, const char *options);
-void grouping_create_trimmed_median1(RRDR *r, const char *options);
-void grouping_create_trimmed_median2(RRDR *r, const char *options);
-void grouping_create_trimmed_median3(RRDR *r, const char *options);
-void grouping_create_trimmed_median5(RRDR *r, const char *options);
-void grouping_create_trimmed_median10(RRDR *r, const char *options);
-void grouping_create_trimmed_median15(RRDR *r, const char *options);
-void grouping_create_trimmed_median20(RRDR *r, const char *options);
-void grouping_create_trimmed_median25(RRDR *r, const char *options);
-void grouping_reset_median(RRDR *r);
-void grouping_free_median(RRDR *r);
-void grouping_add_median(RRDR *r, NETDATA_DOUBLE value);
-NETDATA_DOUBLE grouping_flush_median(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr);
+struct tg_median {
+ size_t series_size;
+ size_t next_pos;
+ NETDATA_DOUBLE percent;
+
+ NETDATA_DOUBLE *series;
+};
+
+static inline void tg_median_create_internal(RRDR *r, const char *options, NETDATA_DOUBLE def) {
+ long entries = r->view.group;
+ if(entries < 10) entries = 10;
+
+ struct tg_median *g = (struct tg_median *)onewayalloc_callocz(r->internal.owa, 1, sizeof(struct tg_median));
+ g->series = onewayalloc_mallocz(r->internal.owa, entries * sizeof(NETDATA_DOUBLE));
+ g->series_size = (size_t)entries;
+
+ g->percent = def;
+ if(options && *options) {
+ g->percent = str2ndd(options, NULL);
+ if(!netdata_double_isnumber(g->percent)) g->percent = 0.0;
+ if(g->percent < 0.0) g->percent = 0.0;
+ if(g->percent > 50.0) g->percent = 50.0;
+ }
+
+ g->percent = g->percent / 100.0;
+ r->time_grouping.data = g;
+}
+
+static inline void tg_median_create(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 0.0);
+}
+static inline void tg_median_create_trimmed_1(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 1.0);
+}
+static inline void tg_median_create_trimmed_2(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 2.0);
+}
+static inline void tg_median_create_trimmed_3(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 3.0);
+}
+static inline void tg_median_create_trimmed_5(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 5.0);
+}
+static inline void tg_median_create_trimmed_10(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 10.0);
+}
+static inline void tg_median_create_trimmed_15(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 15.0);
+}
+static inline void tg_median_create_trimmed_20(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 20.0);
+}
+static inline void tg_median_create_trimmed_25(RRDR *r, const char *options) {
+ tg_median_create_internal(r, options, 25.0);
+}
+
+// resets when switches dimensions
+// so, clear everything to restart
+static inline void tg_median_reset(RRDR *r) {
+ struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+ g->next_pos = 0;
+}
+
+static inline void tg_median_free(RRDR *r) {
+ struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+ if(g) onewayalloc_freez(r->internal.owa, g->series);
+
+ onewayalloc_freez(r->internal.owa, r->time_grouping.data);
+ r->time_grouping.data = NULL;
+}
+
+static inline void tg_median_add(RRDR *r, NETDATA_DOUBLE value) {
+ struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+
+ if(unlikely(g->next_pos >= g->series_size)) {
+ g->series = onewayalloc_doublesize( r->internal.owa, g->series, g->series_size * sizeof(NETDATA_DOUBLE));
+ g->series_size *= 2;
+ }
+
+ g->series[g->next_pos++] = value;
+}
+
+static inline NETDATA_DOUBLE tg_median_flush(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
+ struct tg_median *g = (struct tg_median *)r->time_grouping.data;
+
+ size_t available_slots = g->next_pos;
+ NETDATA_DOUBLE value;
+
+ if(unlikely(!available_slots)) {
+ value = 0.0;
+ *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
+ }
+ else if(available_slots == 1) {
+ value = g->series[0];
+ }
+ else {
+ sort_series(g->series, available_slots);
+
+ size_t start_slot = 0;
+ size_t end_slot = available_slots - 1;
+
+ if(g->percent > 0.0) {
+ NETDATA_DOUBLE min = g->series[0];
+ NETDATA_DOUBLE max = g->series[available_slots - 1];
+ NETDATA_DOUBLE delta = (max - min) * g->percent;
+
+ NETDATA_DOUBLE wanted_min = min + delta;
+ NETDATA_DOUBLE wanted_max = max - delta;
+
+ for (start_slot = 0; start_slot < available_slots; start_slot++)
+ if (g->series[start_slot] >= wanted_min) break;
+
+ for (end_slot = available_slots - 1; end_slot > start_slot; end_slot--)
+ if (g->series[end_slot] <= wanted_max) break;
+ }
+
+ if(start_slot == end_slot)
+ value = g->series[start_slot];
+ else
+ value = median_on_sorted_series(&g->series[start_slot], end_slot - start_slot + 1);
+ }
+
+ if(unlikely(!netdata_double_isnumber(value))) {
+ value = 0.0;
+ *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
+ }
+
+ //log_series_to_stderr(g->series, g->next_pos, value, "median");
+
+ g->next_pos = 0;
+
+ return value;
+}
#endif //NETDATA_API_QUERIES_MEDIAN_H