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netdata_netdata/web/api/queries/stddev/stddev.c
Costa Tsaousis cd50bf4236
/api/v2 part 4 ()
* expose the order of group by

* key renames in json wrapper v2

* added group by context and group by units

* added view_average_values

* fix for view_average_values when percentage is specified

* option group-by-labels is enabling the exposure of all the labels that are used for each of the final grouped dimensions

* when executing group by queries, allocate one dimension data at a time - not all of them

* respect hidden dimensions

* cancel running data query on socket error

* use poll to detect socket errors

* use POLLRDHUP to detect half closed connections

* make sure POLLRDHUP is available

* do not destroy aral-by-size arals

* completed documentation of /api/v2/data.

* moved min, max back to view; updated swagger yaml and json

* default format for /api/v2/data is json2
2023-03-13 23:39:06 +02:00

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4.3 KiB
C

// SPDX-License-Identifier: GPL-3.0-or-later
#include "stddev.h"
// ----------------------------------------------------------------------------
// stddev
// this implementation comes from:
// https://www.johndcook.com/blog/standard_deviation/
struct grouping_stddev {
long count;
NETDATA_DOUBLE m_oldM, m_newM, m_oldS, m_newS;
};
void grouping_create_stddev(RRDR *r, const char *options __maybe_unused) {
r->time_grouping.data = onewayalloc_callocz(r->internal.owa, 1, sizeof(struct grouping_stddev));
}
// resets when switches dimensions
// so, clear everything to restart
void grouping_reset_stddev(RRDR *r) {
struct grouping_stddev *g = (struct grouping_stddev *)r->time_grouping.data;
g->count = 0;
}
void grouping_free_stddev(RRDR *r) {
onewayalloc_freez(r->internal.owa, r->time_grouping.data);
r->time_grouping.data = NULL;
}
void grouping_add_stddev(RRDR *r, NETDATA_DOUBLE value) {
struct grouping_stddev *g = (struct grouping_stddev *)r->time_grouping.data;
g->count++;
// See Knuth TAOCP vol 2, 3rd edition, page 232
if (g->count == 1) {
g->m_oldM = g->m_newM = value;
g->m_oldS = 0.0;
}
else {
g->m_newM = g->m_oldM + (value - g->m_oldM) / g->count;
g->m_newS = g->m_oldS + (value - g->m_oldM) * (value - g->m_newM);
// set up for next iteration
g->m_oldM = g->m_newM;
g->m_oldS = g->m_newS;
}
}
static inline NETDATA_DOUBLE mean(struct grouping_stddev *g) {
return (g->count > 0) ? g->m_newM : 0.0;
}
static inline NETDATA_DOUBLE variance(struct grouping_stddev *g) {
return ( (g->count > 1) ? g->m_newS/(NETDATA_DOUBLE)(g->count - 1) : 0.0 );
}
static inline NETDATA_DOUBLE stddev(struct grouping_stddev *g) {
return sqrtndd(variance(g));
}
NETDATA_DOUBLE grouping_flush_stddev(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
struct grouping_stddev *g = (struct grouping_stddev *)r->time_grouping.data;
NETDATA_DOUBLE value;
if(likely(g->count > 1)) {
value = stddev(g);
if(!netdata_double_isnumber(value)) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
}
else if(g->count == 1) {
value = 0.0;
}
else {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
grouping_reset_stddev(r);
return value;
}
// https://en.wikipedia.org/wiki/Coefficient_of_variation
NETDATA_DOUBLE grouping_flush_coefficient_of_variation(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
struct grouping_stddev *g = (struct grouping_stddev *)r->time_grouping.data;
NETDATA_DOUBLE value;
if(likely(g->count > 1)) {
NETDATA_DOUBLE m = mean(g);
value = 100.0 * stddev(g) / ((m < 0)? -m : m);
if(unlikely(!netdata_double_isnumber(value))) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
}
else if(g->count == 1) {
// one value collected
value = 0.0;
}
else {
// no values collected
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
grouping_reset_stddev(r);
return value;
}
/*
* Mean = average
*
NETDATA_DOUBLE grouping_flush_mean(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
struct grouping_stddev *g = (struct grouping_stddev *)r->grouping.grouping_data;
NETDATA_DOUBLE value;
if(unlikely(!g->count)) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
else {
value = mean(g);
if(!isnormal(value)) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
}
grouping_reset_stddev(r);
return value;
}
*/
/*
* It is not advised to use this version of variance directly
*
NETDATA_DOUBLE grouping_flush_variance(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
struct grouping_stddev *g = (struct grouping_stddev *)r->grouping.grouping_data;
NETDATA_DOUBLE value;
if(unlikely(!g->count)) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
else {
value = variance(g);
if(!isnormal(value)) {
value = 0.0;
*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
}
}
grouping_reset_stddev(r);
return value;
}
*/