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-rw-r--r--web/api/queries/stddev/Makefile.am8
-rw-r--r--web/api/queries/stddev/README.md97
-rw-r--r--web/api/queries/stddev/stddev.c61
-rw-r--r--web/api/queries/stddev/stddev.h120
4 files changed, 0 insertions, 286 deletions
diff --git a/web/api/queries/stddev/Makefile.am b/web/api/queries/stddev/Makefile.am
deleted file mode 100644
index 161784b8f..000000000
--- a/web/api/queries/stddev/Makefile.am
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: GPL-3.0-or-later
-
-AUTOMAKE_OPTIONS = subdir-objects
-MAINTAINERCLEANFILES = $(srcdir)/Makefile.in
-
-dist_noinst_DATA = \
- README.md \
- $(NULL)
diff --git a/web/api/queries/stddev/README.md b/web/api/queries/stddev/README.md
deleted file mode 100644
index 3f751a6e1..000000000
--- a/web/api/queries/stddev/README.md
+++ /dev/null
@@ -1,97 +0,0 @@
-<!--
-title: "standard deviation (`stddev`)"
-sidebar_label: "standard deviation (`stddev`)"
-custom_edit_url: https://github.com/netdata/netdata/edit/master/web/api/queries/stddev/README.md
-learn_status: "Published"
-learn_topic_type: "References"
-learn_rel_path: "Developers/Web/Api/Queries"
--->
-
-# standard deviation (`stddev`)
-
-The standard deviation is a measure that is used to quantify the amount of variation or dispersion
-of a set of data values.
-
-A low standard deviation indicates that the data points tend to be close to the mean (also called the
-expected value) of the set, while a high standard deviation indicates that the data points are spread
-out over a wider range of values.
-
-## how to use
-
-Use it in alerts like this:
-
-```
- alarm: my_alert
- on: my_chart
-lookup: stddev -1m unaligned of my_dimension
- warn: $this > 1000
-```
-
-`stdev` does not change the units. For example, if the chart units is `requests/sec`, the standard
-deviation will be again expressed in the same units.
-
-It can also be used in APIs and badges as `&group=stddev` in the URL.
-
-## Examples
-
-Examining last 1 minute `successful` web server responses:
-
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=min&after=-60&label=min)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=average&after=-60&label=average&value_color=yellow)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=stddev&after=-60&label=standard+deviation&value_color=orange)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=max&after=-60&label=max)
-
-## References
-
-Check <https://en.wikipedia.org/wiki/Standard_deviation>.
-
----
-
-# Coefficient of variation (`cv`)
-
-> This query is also available as `rsd`.
-
-The coefficient of variation (`cv`), also known as relative standard deviation (`rsd`),
-is a standardized measure of dispersion of a probability distribution or frequency distribution.
-
-It is defined as the ratio of the **standard deviation** to the **mean**.
-
-In simple terms, it gives the percentage of change. So, if the average value of a metric is 1000
-and its standard deviation is 100 (meaning that it variates from 900 to 1100), then `cv` is 10%.
-
-This is an easy way to check the % variation, without using absolute values.
-
-For example, you may trigger an alert if your web server requests/sec `cv` is above 20 (`%`)
-over the last minute. So if your web server was serving 1000 reqs/sec over the last minute,
-it will trigger the alert if had spikes below 800/sec or above 1200/sec.
-
-## how to use
-
-Use it in alerts like this:
-
-```
- alarm: my_alert
- on: my_chart
-lookup: cv -1m unaligned of my_dimension
- units: %
- warn: $this > 20
-```
-
-The units reported by `cv` is always `%`.
-
-It can also be used in APIs and badges as `&group=cv` in the URL.
-
-## Examples
-
-Examining last 1 minute `successful` web server responses:
-
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=min&after=-60&label=min)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=average&after=-60&label=average&value_color=yellow)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=cv&after=-60&label=coefficient+of+variation&value_color=orange&units=pcent)
-- ![](https://registry.my-netdata.io/api/v1/badge.svg?chart=web_log_nginx.response_statuses&dimensions=success&group=max&after=-60&label=max)
-
-## References
-
-Check <https://en.wikipedia.org/wiki/Coefficient_of_variation>.
-
-
diff --git a/web/api/queries/stddev/stddev.c b/web/api/queries/stddev/stddev.c
deleted file mode 100644
index 8f5431194..000000000
--- a/web/api/queries/stddev/stddev.c
+++ /dev/null
@@ -1,61 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#include "stddev.h"
-
-
-// ----------------------------------------------------------------------------
-// stddev
-
-/*
- * 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;
-}
-*/ \ No newline at end of file
diff --git a/web/api/queries/stddev/stddev.h b/web/api/queries/stddev/stddev.h
deleted file mode 100644
index f7a1a06c3..000000000
--- a/web/api/queries/stddev/stddev.h
+++ /dev/null
@@ -1,120 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#ifndef NETDATA_API_QUERIES_STDDEV_H
-#define NETDATA_API_QUERIES_STDDEV_H
-
-#include "../query.h"
-#include "../rrdr.h"
-
-// this implementation comes from:
-// https://www.johndcook.com/blog/standard_deviation/
-
-struct tg_stddev {
- long count;
- NETDATA_DOUBLE m_oldM, m_newM, m_oldS, m_newS;
-};
-
-static inline void tg_stddev_create(RRDR *r, const char *options __maybe_unused) {
- r->time_grouping.data = onewayalloc_callocz(r->internal.owa, 1, sizeof(struct tg_stddev));
-}
-
-// resets when switches dimensions
-// so, clear everything to restart
-static inline void tg_stddev_reset(RRDR *r) {
- struct tg_stddev *g = (struct tg_stddev *)r->time_grouping.data;
- g->count = 0;
-}
-
-static inline void tg_stddev_free(RRDR *r) {
- onewayalloc_freez(r->internal.owa, r->time_grouping.data);
- r->time_grouping.data = NULL;
-}
-
-static inline void tg_stddev_add(RRDR *r, NETDATA_DOUBLE value) {
- struct tg_stddev *g = (struct tg_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 tg_stddev_mean(struct tg_stddev *g) {
- return (g->count > 0) ? g->m_newM : 0.0;
-}
-
-static inline NETDATA_DOUBLE tg_stddev_variance(struct tg_stddev *g) {
- return ( (g->count > 1) ? g->m_newS/(NETDATA_DOUBLE)(g->count - 1) : 0.0 );
-}
-static inline NETDATA_DOUBLE tg_stddev_stddev(struct tg_stddev *g) {
- return sqrtndd(tg_stddev_variance(g));
-}
-
-static inline NETDATA_DOUBLE tg_stddev_flush(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
- struct tg_stddev *g = (struct tg_stddev *)r->time_grouping.data;
-
- NETDATA_DOUBLE value;
-
- if(likely(g->count > 1)) {
- value = tg_stddev_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;
- }
-
- tg_stddev_reset(r);
-
- return value;
-}
-
-// https://en.wikipedia.org/wiki/Coefficient_of_variation
-static inline NETDATA_DOUBLE tg_stddev_coefficient_of_variation_flush(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
- struct tg_stddev *g = (struct tg_stddev *)r->time_grouping.data;
-
- NETDATA_DOUBLE value;
-
- if(likely(g->count > 1)) {
- NETDATA_DOUBLE m = tg_stddev_mean(g);
- value = 100.0 * tg_stddev_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;
- }
-
- tg_stddev_reset(r);
-
- return value;
-}
-
-#endif //NETDATA_API_QUERIES_STDDEV_H