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