diff options
Diffstat (limited to 'web/api/queries')
52 files changed, 7641 insertions, 0 deletions
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Netdata can reduce number of points by applying query grouping methods. If not given, the result will have the same granularity as the database (although this relates to `gtime`). +`before`|no|The absolute timestamp or the relative (to now) time the query should finish evaluating data. If not given, it defaults to the timestamp of the latest point in the database. +`after`|no|The absolute timestamp or the relative (to `before`) time the query should start evaluating data. if not given, it defaults to the timestamp of the oldest point in the database. +`group`|no|The grouping method to use when reducing the points the database has. If not given, it defaults to `average`. +`gtime`|no|A resampling period to change the units of the metrics (i.e. setting this to `60` will convert `per second` metrics to `per minute`. If not given it defaults to granularity of the database. +`options`|no|A bitmap of options that can affect the operation of the query. Only 2 options are used by the query engine: `unaligned` and `percentage`. All the other options are used by the output formatters. The default is to return aligned data. +`dimensions`|no|A simple pattern to filter the dimensions to be queried. The default is to return all the dimensions of the chart. + +## Operation + +The query engine works as follows (in this order): + +#### Time-frame + +`after` and `before` define a time-frame, accepting: + +- **absolute timestamps** (unix timestamps, i.e. seconds since epoch). + +- **relative timestamps**: + + `before` is relative to now and `after` is relative to `before`. + + Example: `before=-60&after=-60` evaluates to the time-frame from -120 up to -60 seconds in + the past, relative to the latest entry of the database of the chart. + +The engine verifies that the time-frame requested is available at the database: + +- If the requested time-frame overlaps with the database, the excess requested + will be truncated. + +- If the requested time-frame does not overlap with the database, the engine will + return an empty data set. + +At the end of this operation, `after` and `before` are absolute timestamps. + +#### Data grouping + +Database points grouping is applied when the caller requests a time-frame to be +expressed with fewer points, compared to what is available at the database. + +There are 2 uses that enable this feature: + +- The caller requests a specific number of `points` to be returned. + + For example, for a time-frame of 10 minutes, the database has 600 points (1/sec), + while the caller requested these 10 minutes to be expressed in 200 points. + + This feature is used by netdata dashboards when you zoom-out the charts. + The dashboard is requesting the number of points the user's screen has. + This saves bandwidth and speeds up the browser (fewer points to evaluate for drawing the charts). + +- The caller requests a **re-sampling** of the database, by setting `gtime` to any value + above the granularity of the chart. + + For example, the chart's units is `requests/sec` and caller wants `requests/min`. + +Using `points` and `gtime` the query engine tries to find a best fit for **database-points** +vs **result-points** (we call this ratio `group points`). It always tries to keep `group points` +an integer. Keep in mind the query engine may shift `after` if required. + +#### Time-frame Alignment + +Alignment is a very important aspect of netdata queries. Without it, the animated +charts on the dashboards would constantly change shape during incremental updates. + +To provide consistent grouping through time, the query engine (by default) aligns +`after` and `before` to be a multiple of `group points`. + +For example, if `group points` is 60 and alignment is enabled, the engine will return +each point with durations XX:XX:00 - XX:XX:59, matching whole minutes. + +To disable alignment, pass `&options=unaligned` to the query. + +#### Query Execution + +To execute the query, the engine evaluates all dimensions of the chart, one after another. + +The engine does not evaluate dimensions that do not match the [simple pattern](../../../libnetdata/simple_pattern) +given at the `dimensions` parameter, except when `options=percentage` is given (this option +requires all the dimensions to be evaluated to find the percentage of each dimension vs to chart +total). + +For each dimension, it starts evaluating values starting at `after` (not inclusive) towards +`before` (inclusive). + +For each value it calls the **grouping method** given with the `&group=` query parameter +(the default is `average`). + +## Grouping methods + +The following grouping methods are supported. These are given all the values in the time-frame +and they group the values every `group points`. + +-  finds the minimum value +-  finds the maximum value +-  finds the average value +-  adds all the values and returns the sum +-  sorts the values and returns the value in the middle of the list +-  finds the standard deviation of the values +-  finds the relative standard deviation (coefficient of variation) of the values +-  finds the exponential weighted moving average of the values +-  applies Holt-Winters double exponential smoothing +-  finds the difference of the last vs the first value + +The examples shown above, are live information from the `successful` web requests of the global netdata registry. + +## Further processing + +The result of the query engine is always a structure that has dimensions and values +for each dimension. + +Formatting modules are then used to convert this result in many different formats and return it +to the caller. + +## Performance + +The query engine is highly optimized for speed. Most of its modules implement "online" +versions of the algorithms, requiring just one pass on the database values to produce +the result. diff --git a/web/api/queries/average/Makefile.am b/web/api/queries/average/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/average/Makefile.am @@ -0,0 +1,8 @@ +# 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/average/Makefile.in b/web/api/queries/average/Makefile.in new file mode 100644 index 000000000..a5db03648 --- /dev/null +++ b/web/api/queries/average/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; the Free Software Foundation +# gives unlimited permission to copy and/or distribute it, +# with or without modifications, as long as this notice is preserved. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY, to the extent permitted by law; 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=average` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Average](https://en.wikipedia.org/wiki/Average). diff --git a/web/api/queries/average/average.c b/web/api/queries/average/average.c new file mode 100644 index 000000000..c871b8778 --- /dev/null +++ b/web/api/queries/average/average.c @@ -0,0 +1,59 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "average.h" + +// ---------------------------------------------------------------------------- +// average + +struct grouping_average { + calculated_number sum; + size_t count; +}; + +void *grouping_create_average(RRDR *r) { + (void)r; + return callocz(1, sizeof(struct grouping_average)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_average(RRDR *r) { + struct grouping_average *g = (struct grouping_average *)r->internal.grouping_data; + g->sum = 0; + g->count = 0; +} + +void grouping_free_average(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_average(RRDR *r, calculated_number value) { + if(!isnan(value)) { + struct grouping_average *g = (struct grouping_average *)r->internal.grouping_data; + g->sum += value; + g->count++; + } +} + +calculated_number grouping_flush_average(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_average *g = (struct grouping_average *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->count)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else { + if(unlikely(r->internal.resampling_group != 1)) + value = g->sum / r->internal.resampling_divisor; + else + value = g->sum / g->count; + } + + g->sum = 0.0; + g->count = 0; + + return value; +} diff --git a/web/api/queries/average/average.h b/web/api/queries/average/average.h new file mode 100644 index 000000000..9fb7de21a --- /dev/null +++ b/web/api/queries/average/average.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERY_AVERAGE_H +#define NETDATA_API_QUERY_AVERAGE_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_average(RRDR *r); +extern void grouping_reset_average(RRDR *r); +extern void grouping_free_average(RRDR *r); +extern void grouping_add_average(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_average(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERY_AVERAGE_H diff --git a/web/api/queries/des/Makefile.am b/web/api/queries/des/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/des/Makefile.am @@ -0,0 +1,8 @@ +# 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/des/Makefile.in b/web/api/queries/des/Makefile.in new file mode 100644 index 000000000..d3f05587b --- /dev/null +++ b/web/api/queries/des/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=des` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Exponential_smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing). diff --git a/web/api/queries/des/des.c b/web/api/queries/des/des.c new file mode 100644 index 000000000..93d724723 --- /dev/null +++ b/web/api/queries/des/des.c @@ -0,0 +1,139 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include <web/api/queries/rrdr.h> +#include "des.h" + + +// ---------------------------------------------------------------------------- +// single exponential smoothing + +struct grouping_des { + calculated_number alpha; + calculated_number alpha_other; + calculated_number beta; + calculated_number beta_other; + + calculated_number level; + calculated_number trend; + + size_t count; +}; + +static size_t max_window_size = 15; + +void grouping_init_des(void) { + long long ret = config_get_number(CONFIG_SECTION_WEB, "des max window", (long long)max_window_size); + if(ret <= 1) { + config_set_number(CONFIG_SECTION_WEB, "des max window", (long long)max_window_size); + } + else { + max_window_size = (size_t) ret; + } +} + +static inline calculated_number window(RRDR *r, struct grouping_des *g) { + (void)g; + + calculated_number points; + if(r->group == 1) { + // provide a running DES + points = r->internal.points_wanted; + } + else { + // provide a SES with flush points + points = r->group; + } + + // https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average + // A commonly used value for alpha is 2 / (N + 1) + return (points > max_window_size) ? max_window_size : points; +} + +static inline void set_alpha(RRDR *r, struct grouping_des *g) { + // https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average + // A commonly used value for alpha is 2 / (N + 1) + + g->alpha = 2.0 / (window(r, g) + 1.0); + g->alpha_other = 1.0 - g->alpha; + + //info("alpha for chart '%s' is " CALCULATED_NUMBER_FORMAT, r->st->name, g->alpha); +} + +static inline void set_beta(RRDR *r, struct grouping_des *g) { + // https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average + // A commonly used value for alpha is 2 / (N + 1) + + g->beta = 2.0 / (window(r, g) + 1.0); + g->beta_other = 1.0 - g->beta; + + //info("beta for chart '%s' is " CALCULATED_NUMBER_FORMAT, r->st->name, g->beta); +} + +void *grouping_create_des(RRDR *r) { + struct grouping_des *g = (struct grouping_des *)malloc(sizeof(struct grouping_des)); + set_alpha(r, g); + set_beta(r, g); + g->level = 0.0; + g->trend = 0.0; + g->count = 0; + return g; +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_des(RRDR *r) { + struct grouping_des *g = (struct grouping_des *)r->internal.grouping_data; + g->level = 0.0; + g->trend = 0.0; + g->count = 0; + + // fprintf(stderr, "\nDES: "); + +} + +void grouping_free_des(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_des(RRDR *r, calculated_number value) { + struct grouping_des *g = (struct grouping_des *)r->internal.grouping_data; + + if(isnormal(value)) { + if(likely(g->count > 0)) { + // we have at least a number so far + + if(unlikely(g->count == 1)) { + // the second value we got + g->trend = value - g->trend; + g->level = value; + } + + // for the values, except the first + calculated_number last_level = g->level; + g->level = (g->alpha * value) + (g->alpha_other * (g->level + g->trend)); + g->trend = (g->beta * (g->level - last_level)) + (g->beta_other * g->trend); + } + else { + // the first value we got + g->level = g->trend = value; + } + + g->count++; + } + + //fprintf(stderr, "value: " CALCULATED_NUMBER_FORMAT ", level: " CALCULATED_NUMBER_FORMAT ", trend: " CALCULATED_NUMBER_FORMAT "\n", value, g->level, g->trend); +} + +calculated_number grouping_flush_des(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_des *g = (struct grouping_des *)r->internal.grouping_data; + + if(unlikely(!g->count || !isnormal(g->level))) { + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + return 0.0; + } + + //fprintf(stderr, " RESULT for %zu values = " CALCULATED_NUMBER_FORMAT " \n", g->count, g->level); + + return g->level; +} diff --git a/web/api/queries/des/des.h b/web/api/queries/des/des.h new file mode 100644 index 000000000..360513e9c --- /dev/null +++ b/web/api/queries/des/des.h @@ -0,0 +1,17 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERIES_DES_H +#define NETDATA_API_QUERIES_DES_H + +#include "../query.h" +#include "../rrdr.h" + +extern void grouping_init_des(void); + +extern void *grouping_create_des(RRDR *r); +extern void grouping_reset_des(RRDR *r); +extern void grouping_free_des(RRDR *r); +extern void grouping_add_des(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_des(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERIES_DES_H diff --git a/web/api/queries/incremental_sum/Makefile.am b/web/api/queries/incremental_sum/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/incremental_sum/Makefile.am @@ -0,0 +1,8 @@ +# 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/incremental_sum/Makefile.in b/web/api/queries/incremental_sum/Makefile.in new file mode 100644 index 000000000..1863466fe --- /dev/null +++ b/web/api/queries/incremental_sum/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=incremental_sum` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  +-  + +## References + +- none diff --git a/web/api/queries/incremental_sum/incremental_sum.c b/web/api/queries/incremental_sum/incremental_sum.c new file mode 100644 index 000000000..131d85d78 --- /dev/null +++ b/web/api/queries/incremental_sum/incremental_sum.c @@ -0,0 +1,69 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "incremental_sum.h" + +// ---------------------------------------------------------------------------- +// incremental sum + +struct grouping_incremental_sum { + calculated_number first; + calculated_number last; + size_t count; +}; + +void *grouping_create_incremental_sum(RRDR *r) { + (void)r; + return callocz(1, sizeof(struct grouping_incremental_sum)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_incremental_sum(RRDR *r) { + struct grouping_incremental_sum *g = (struct grouping_incremental_sum *)r->internal.grouping_data; + g->first = 0; + g->last = 0; + g->count = 0; +} + +void grouping_free_incremental_sum(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_incremental_sum(RRDR *r, calculated_number value) { + if(!isnan(value)) { + struct grouping_incremental_sum *g = (struct grouping_incremental_sum *)r->internal.grouping_data; + + if(unlikely(!g->count)) { + g->first = value; + g->count++; + } + else { + g->last = value; + g->count++; + } + } +} + +calculated_number grouping_flush_incremental_sum(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_incremental_sum *g = (struct grouping_incremental_sum *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->count)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else if(unlikely(g->count == 1)) { + value = 0.0; + } + else { + value = g->last - g->first; + } + + g->first = 0.0; + g->last = 0.0; + g->count = 0; + + return value; +} diff --git a/web/api/queries/incremental_sum/incremental_sum.h b/web/api/queries/incremental_sum/incremental_sum.h new file mode 100644 index 000000000..990a2ac4a --- /dev/null +++ b/web/api/queries/incremental_sum/incremental_sum.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERY_INCREMENTAL_SUM_H +#define NETDATA_API_QUERY_INCREMENTAL_SUM_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_incremental_sum(RRDR *r); +extern void grouping_reset_incremental_sum(RRDR *r); +extern void grouping_free_incremental_sum(RRDR *r); +extern void grouping_add_incremental_sum(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_incremental_sum(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERY_INCREMENTAL_SUM_H diff --git a/web/api/queries/max/Makefile.am b/web/api/queries/max/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/max/Makefile.am @@ -0,0 +1,8 @@ +# 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/max/Makefile.in b/web/api/queries/max/Makefile.in new file mode 100644 index 000000000..f8475ad62 --- /dev/null +++ b/web/api/queries/max/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=max` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Sample_maximum_and_minimum](https://en.wikipedia.org/wiki/Sample_maximum_and_minimum). diff --git a/web/api/queries/max/max.c b/web/api/queries/max/max.c new file mode 100644 index 000000000..a4be36add --- /dev/null +++ b/web/api/queries/max/max.c @@ -0,0 +1,60 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "max.h" + +// ---------------------------------------------------------------------------- +// max + +struct grouping_max { + calculated_number max; + size_t count; +}; + +void *grouping_create_max(RRDR *r) { + (void)r; + return callocz(1, sizeof(struct grouping_max)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_max(RRDR *r) { + struct grouping_max *g = (struct grouping_max *)r->internal.grouping_data; + g->max = 0; + g->count = 0; +} + +void grouping_free_max(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_max(RRDR *r, calculated_number value) { + if(!isnan(value)) { + struct grouping_max *g = (struct grouping_max *)r->internal.grouping_data; + + if(!g->count || calculated_number_fabs(value) > calculated_number_fabs(g->max)) { + g->max = value; + g->count++; + } + } +} + +calculated_number grouping_flush_max(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_max *g = (struct grouping_max *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->count)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else { + value = g->max; + } + + g->max = 0.0; + g->count = 0; + + return value; +} + diff --git a/web/api/queries/max/max.h b/web/api/queries/max/max.h new file mode 100644 index 000000000..d839fe3f9 --- /dev/null +++ b/web/api/queries/max/max.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERY_MAX_H +#define NETDATA_API_QUERY_MAX_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_max(RRDR *r); +extern void grouping_reset_max(RRDR *r); +extern void grouping_free_max(RRDR *r); +extern void grouping_add_max(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_max(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERY_MAX_H diff --git a/web/api/queries/median/Makefile.am b/web/api/queries/median/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/median/Makefile.am @@ -0,0 +1,8 @@ +# 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/median/Makefile.in b/web/api/queries/median/Makefile.in new file mode 100644 index 000000000..f6d471bdf --- /dev/null +++ b/web/api/queries/median/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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For a data set, it may be thought of as the +"middle" value. + +`median` is not an accurate average. However, it eliminates all spikes, by sorting +all the values in a period, and selecting the value in the middle of the sorted array. + +## how to use + +Use it in alarms like this: + +``` + alarm: my_alarm + on: my_chart +lookup: median -1m unaligned of my_dimension + warn: $this > 1000 +``` + +`median` does not change the units. For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=median` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Median](https://en.wikipedia.org/wiki/Median). diff --git a/web/api/queries/median/median.c b/web/api/queries/median/median.c new file mode 100644 index 000000000..5a13b2e4d --- /dev/null +++ b/web/api/queries/median/median.c @@ -0,0 +1,79 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "median.h" + + +// ---------------------------------------------------------------------------- +// median + +struct grouping_median { + size_t series_size; + size_t next_pos; + + LONG_DOUBLE series[]; +}; + +void *grouping_create_median(RRDR *r) { + long entries = r->group; + if(entries < 0) entries = 0; + + struct grouping_median *g = (struct grouping_median *)callocz(1, sizeof(struct grouping_median) + entries * sizeof(LONG_DOUBLE)); + g->series_size = (size_t)entries; + + return g; +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_median(RRDR *r) { + struct grouping_median *g = (struct grouping_median *)r->internal.grouping_data; + g->next_pos = 0; +} + +void grouping_free_median(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_median(RRDR *r, calculated_number value) { + struct grouping_median *g = (struct grouping_median *)r->internal.grouping_data; + + if(unlikely(g->next_pos >= g->series_size)) { + error("INTERNAL ERROR: median buffer overflow on chart '%s' - next_pos = %zu, series_size = %zu, r->group = %ld.", r->st->name, g->next_pos, g->series_size, r->group); + } + else { + if(isnormal(value)) + g->series[g->next_pos++] = (LONG_DOUBLE)value; + } +} + +calculated_number grouping_flush_median(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_median *g = (struct grouping_median *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->next_pos)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else { + if(g->next_pos > 1) { + sort_series(g->series, g->next_pos); + value = (calculated_number)median_on_sorted_series(g->series, g->next_pos); + } + else + value = (calculated_number)g->series[0]; + + if(!isnormal(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; +} + diff --git a/web/api/queries/median/median.h b/web/api/queries/median/median.h new file mode 100644 index 000000000..dd2c1ffc5 --- /dev/null +++ b/web/api/queries/median/median.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERIES_MEDIAN_H +#define NETDATA_API_QUERIES_MEDIAN_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_median(RRDR *r); +extern void grouping_reset_median(RRDR *r); +extern void grouping_free_median(RRDR *r); +extern void grouping_add_median(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_median(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERIES_MEDIAN_H diff --git a/web/api/queries/min/Makefile.am b/web/api/queries/min/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/min/Makefile.am @@ -0,0 +1,8 @@ +# 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/min/Makefile.in b/web/api/queries/min/Makefile.in new file mode 100644 index 000000000..11fa615f6 --- /dev/null +++ b/web/api/queries/min/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=min` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Sample_maximum_and_minimum](https://en.wikipedia.org/wiki/Sample_maximum_and_minimum). diff --git a/web/api/queries/min/min.c b/web/api/queries/min/min.c new file mode 100644 index 000000000..9bd7460e0 --- /dev/null +++ b/web/api/queries/min/min.c @@ -0,0 +1,60 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "min.h" + +// ---------------------------------------------------------------------------- +// min + +struct grouping_min { + calculated_number min; + size_t count; +}; + +void *grouping_create_min(RRDR *r) { + (void)r; + return callocz(1, sizeof(struct grouping_min)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_min(RRDR *r) { + struct grouping_min *g = (struct grouping_min *)r->internal.grouping_data; + g->min = 0; + g->count = 0; +} + +void grouping_free_min(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_min(RRDR *r, calculated_number value) { + if(!isnan(value)) { + struct grouping_min *g = (struct grouping_min *)r->internal.grouping_data; + + if(!g->count || calculated_number_fabs(value) < calculated_number_fabs(g->min)) { + g->min = value; + g->count++; + } + } +} + +calculated_number grouping_flush_min(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_min *g = (struct grouping_min *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->count)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else { + value = g->min; + } + + g->min = 0.0; + g->count = 0; + + return value; +} + diff --git a/web/api/queries/min/min.h b/web/api/queries/min/min.h new file mode 100644 index 000000000..74703605c --- /dev/null +++ b/web/api/queries/min/min.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERY_MIN_H +#define NETDATA_API_QUERY_MIN_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_min(RRDR *r); +extern void grouping_reset_min(RRDR *r); +extern void grouping_free_min(RRDR *r); +extern void grouping_add_min(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_min(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERY_MIN_H diff --git a/web/api/queries/query.c b/web/api/queries/query.c new file mode 100644 index 000000000..d03b43d3c --- /dev/null +++ b/web/api/queries/query.c @@ -0,0 +1,974 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "query.h" +#include "web/api/formatters/rrd2json.h" +#include "rrdr.h" + +#include "average/average.h" +#include "incremental_sum/incremental_sum.h" +#include "max/max.h" +#include "median/median.h" +#include "min/min.h" +#include "sum/sum.h" +#include "stddev/stddev.h" +#include "ses/ses.h" +#include "des/des.h" + +// ---------------------------------------------------------------------------- + +static struct { + const char *name; + uint32_t hash; + RRDR_GROUPING value; + + // One time initialization for the module. + // This is called once, when netdata starts. + void (*init)(void); + + // Allocate all required structures for a query. + // This is called once for each netdata query. + void *(*create)(struct rrdresult *r); + + // Cleanup collected values, but don't destroy the structures. + // This is called when the query engine switches dimensions, + // as part of the same query (so same chart, switching metric). + void (*reset)(struct rrdresult *r); + + // Free all resources allocated for the query. + void (*free)(struct rrdresult *r); + + // Add a single value into the calculation. + // The module may decide to cache it, or use it in the fly. + void (*add)(struct rrdresult *r, calculated_number value); + + // Generate a single result for the values added so far. + // More values and points may be requested later. + // It is up to the module to reset its internal structures + // when flushing it (so for a few modules it may be better to + // continue after a flush as if nothing changed, for others a + // cleanup of the internal structures may be required). + calculated_number (*flush)(struct rrdresult *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); +} api_v1_data_groups[] = { + {.name = "average", + .hash = 0, + .value = RRDR_GROUPING_AVERAGE, + .init = NULL, + .create= grouping_create_average, + .reset = grouping_reset_average, + .free = grouping_free_average, + .add = grouping_add_average, + .flush = grouping_flush_average + }, + {.name = "mean", // alias on 'average' + .hash = 0, + .value = RRDR_GROUPING_AVERAGE, + .init = NULL, + .create= grouping_create_average, + .reset = grouping_reset_average, + .free = grouping_free_average, + .add = grouping_add_average, + .flush = grouping_flush_average + }, + {.name = "incremental_sum", + .hash = 0, + .value = RRDR_GROUPING_INCREMENTAL_SUM, + .init = NULL, + .create= grouping_create_incremental_sum, + .reset = grouping_reset_incremental_sum, + .free = grouping_free_incremental_sum, + .add = grouping_add_incremental_sum, + .flush = grouping_flush_incremental_sum + }, + {.name = "incremental-sum", + .hash = 0, + .value = RRDR_GROUPING_INCREMENTAL_SUM, + .init = NULL, + .create= grouping_create_incremental_sum, + .reset = grouping_reset_incremental_sum, + .free = grouping_free_incremental_sum, + .add = grouping_add_incremental_sum, + .flush = grouping_flush_incremental_sum + }, + {.name = "median", + .hash = 0, + .value = RRDR_GROUPING_MEDIAN, + .init = NULL, + .create= grouping_create_median, + .reset = grouping_reset_median, + .free = grouping_free_median, + .add = grouping_add_median, + .flush = grouping_flush_median + }, + {.name = "min", + .hash = 0, + .value = RRDR_GROUPING_MIN, + .init = NULL, + .create= grouping_create_min, + .reset = grouping_reset_min, + .free = grouping_free_min, + .add = grouping_add_min, + .flush = grouping_flush_min + }, + {.name = "max", + .hash = 0, + .value = RRDR_GROUPING_MAX, + .init = NULL, + .create= grouping_create_max, + .reset = grouping_reset_max, + .free = grouping_free_max, + .add = grouping_add_max, + .flush = grouping_flush_max + }, + {.name = "sum", + .hash = 0, + .value = RRDR_GROUPING_SUM, + .init = NULL, + .create= grouping_create_sum, + .reset = grouping_reset_sum, + .free = grouping_free_sum, + .add = grouping_add_sum, + .flush = grouping_flush_sum + }, + + // standard deviation + {.name = "stddev", + .hash = 0, + .value = RRDR_GROUPING_STDDEV, + .init = NULL, + .create= grouping_create_stddev, + .reset = grouping_reset_stddev, + .free = grouping_free_stddev, + .add = grouping_add_stddev, + .flush = grouping_flush_stddev + }, + {.name = "cv", // coefficient variation is calculated by stddev + .hash = 0, + .value = RRDR_GROUPING_CV, + .init = NULL, + .create= grouping_create_stddev, // not an error, stddev calculates this too + .reset = grouping_reset_stddev, // not an error, stddev calculates this too + .free = grouping_free_stddev, // not an error, stddev calculates this too + .add = grouping_add_stddev, // not an error, stddev calculates this too + .flush = grouping_flush_coefficient_of_variation + }, + {.name = "rsd", // alias of 'cv' + .hash = 0, + .value = RRDR_GROUPING_CV, + .init = NULL, + .create= grouping_create_stddev, // not an error, stddev calculates this too + .reset = grouping_reset_stddev, // not an error, stddev calculates this too + .free = grouping_free_stddev, // not an error, stddev calculates this too + .add = grouping_add_stddev, // not an error, stddev calculates this too + .flush = grouping_flush_coefficient_of_variation + }, + + /* + {.name = "mean", // same as average, no need to define it again + .hash = 0, + .value = RRDR_GROUPING_MEAN, + .setup = NULL, + .create= grouping_create_stddev, + .reset = grouping_reset_stddev, + .free = grouping_free_stddev, + .add = grouping_add_stddev, + .flush = grouping_flush_mean + }, + */ + + /* + {.name = "variance", // meaningless to offer + .hash = 0, + .value = RRDR_GROUPING_VARIANCE, + .setup = NULL, + .create= grouping_create_stddev, + .reset = grouping_reset_stddev, + .free = grouping_free_stddev, + .add = grouping_add_stddev, + .flush = grouping_flush_variance + }, + */ + + // single exponential smoothing + {.name = "ses", + .hash = 0, + .value = RRDR_GROUPING_SES, + .init = grouping_init_ses, + .create= grouping_create_ses, + .reset = grouping_reset_ses, + .free = grouping_free_ses, + .add = grouping_add_ses, + .flush = grouping_flush_ses + }, + {.name = "ema", // alias for 'ses' + .hash = 0, + .value = RRDR_GROUPING_SES, + .init = NULL, + .create= grouping_create_ses, + .reset = grouping_reset_ses, + .free = grouping_free_ses, + .add = grouping_add_ses, + .flush = grouping_flush_ses + }, + {.name = "ewma", // alias for ses + .hash = 0, + .value = RRDR_GROUPING_SES, + .init = NULL, + .create= grouping_create_ses, + .reset = grouping_reset_ses, + .free = grouping_free_ses, + .add = grouping_add_ses, + .flush = grouping_flush_ses + }, + + // double exponential smoothing + {.name = "des", + .hash = 0, + .value = RRDR_GROUPING_DES, + .init = grouping_init_des, + .create= grouping_create_des, + .reset = grouping_reset_des, + .free = grouping_free_des, + .add = grouping_add_des, + .flush = grouping_flush_des + }, + + // terminator + {.name = NULL, + .hash = 0, + .value = RRDR_GROUPING_UNDEFINED, + .init = NULL, + .create= grouping_create_average, + .reset = grouping_reset_average, + .free = grouping_free_average, + .add = grouping_add_average, + .flush = grouping_flush_average + } +}; + +void web_client_api_v1_init_grouping(void) { + int i; + + for(i = 0; api_v1_data_groups[i].name ; i++) { + api_v1_data_groups[i].hash = simple_hash(api_v1_data_groups[i].name); + + if(api_v1_data_groups[i].init) + api_v1_data_groups[i].init(); + } +} + +const char *group_method2string(RRDR_GROUPING group) { + int i; + + for(i = 0; api_v1_data_groups[i].name ; i++) { + if(api_v1_data_groups[i].value == group) { + return api_v1_data_groups[i].name; + } + } + + return "unknown-group-method"; +} + +RRDR_GROUPING web_client_api_request_v1_data_group(const char *name, RRDR_GROUPING def) { + int i; + + uint32_t hash = simple_hash(name); + for(i = 0; api_v1_data_groups[i].name ; i++) + if(unlikely(hash == api_v1_data_groups[i].hash && !strcmp(name, api_v1_data_groups[i].name))) + return api_v1_data_groups[i].value; + + return def; +} + +// ---------------------------------------------------------------------------- + +static void rrdr_disable_not_selected_dimensions(RRDR *r, RRDR_OPTIONS options, const char *dims) { + rrdset_check_rdlock(r->st); + + if(unlikely(!dims || !*dims || (dims[0] == '*' && dims[1] == '\0'))) return; + + int match_ids = 0, match_names = 0; + + if(unlikely(options & RRDR_OPTION_MATCH_IDS)) + match_ids = 1; + if(unlikely(options & RRDR_OPTION_MATCH_NAMES)) + match_names = 1; + + if(likely(!match_ids && !match_names)) + match_ids = match_names = 1; + + SIMPLE_PATTERN *pattern = simple_pattern_create(dims, ",|\t\r\n\f\v", SIMPLE_PATTERN_EXACT); + + RRDDIM *d; + long c, dims_selected = 0, dims_not_hidden_not_zero = 0; + for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) { + if( (match_ids && simple_pattern_matches(pattern, d->id)) + || (match_names && simple_pattern_matches(pattern, d->name)) + ) { + r->od[c] |= RRDR_DIMENSION_SELECTED; + if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) r->od[c] &= ~RRDR_DIMENSION_HIDDEN; + dims_selected++; + + // since the user needs this dimension + // make it appear as NONZERO, to return it + // even if the dimension has only zeros + // unless option non_zero is set + if(unlikely(!(options & RRDR_OPTION_NONZERO))) + r->od[c] |= RRDR_DIMENSION_NONZERO; + + // count the visible dimensions + if(likely(r->od[c] & RRDR_DIMENSION_NONZERO)) + dims_not_hidden_not_zero++; + } + else { + r->od[c] |= RRDR_DIMENSION_HIDDEN; + if(unlikely(r->od[c] & RRDR_DIMENSION_SELECTED)) r->od[c] &= ~RRDR_DIMENSION_SELECTED; + } + } + simple_pattern_free(pattern); + + // check if all dimensions are hidden + if(unlikely(!dims_not_hidden_not_zero && dims_selected)) { + // there are a few selected dimensions + // but they are all zero + // enable the selected ones + // to avoid returning an empty chart + for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) + if(unlikely(r->od[c] & RRDR_DIMENSION_SELECTED)) + r->od[c] |= RRDR_DIMENSION_NONZERO; + } +} + +// ---------------------------------------------------------------------------- +// helpers to find our way in RRDR + +static inline RRDR_VALUE_FLAGS *rrdr_line_options(RRDR *r, long rrdr_line) { + return &r->o[ rrdr_line * r->d ]; +} + +static inline calculated_number *rrdr_line_values(RRDR *r, long rrdr_line) { + return &r->v[ rrdr_line * r->d ]; +} + +static inline long rrdr_line_init(RRDR *r, time_t t, long rrdr_line) { + rrdr_line++; + + #ifdef NETDATA_INTERNAL_CHECKS + + if(unlikely(rrdr_line >= r->n)) + error("INTERNAL ERROR: requested to step above RRDR size for chart '%s'", r->st->name); + + if(unlikely(r->t[rrdr_line] != 0 && r->t[rrdr_line] != t)) + error("INTERNAL ERROR: overwriting the timestamp of RRDR line %zu from %zu to %zu, of chart '%s'", (size_t)rrdr_line, (size_t)r->t[rrdr_line], (size_t)t, r->st->name); + + #endif + + // save the time + r->t[rrdr_line] = t; + + return rrdr_line; +} + +static inline void rrdr_done(RRDR *r, long rrdr_line) { + r->rows = rrdr_line + 1; +} + + +// ---------------------------------------------------------------------------- +// fill RRDR for a single dimension + +static inline void do_dimension( + RRDR *r + , long points_wanted + , RRDDIM *rd + , long dim_id_in_rrdr + , long after_slot + , long before_slot + , time_t after_wanted + , time_t before_wanted +){ + (void) before_slot; + + RRDSET *st = r->st; + + time_t + now = after_wanted, + dt = st->update_every, + max_date = 0, + min_date = 0; + + long + slot = after_slot, + group_size = r->group, + points_added = 0, + values_in_group = 0, + values_in_group_non_zero = 0, + rrdr_line = -1, + entries = st->entries; + + RRDR_VALUE_FLAGS + group_value_flags = RRDR_VALUE_NOTHING; + + calculated_number min = r->min, max = r->max; + size_t db_points_read = 0; + for( ; points_added < points_wanted ; now += dt, slot++ ) { + if(unlikely(slot >= entries)) slot = 0; + + // make sure we return data in the proper time range + if(unlikely(now > before_wanted)) { + #ifdef NETDATA_INTERNAL_CHECKS + r->internal.log = "stopped, because attempted to access the db after 'wanted before'"; + #endif + break; + } + if(unlikely(now < after_wanted)) { + #ifdef NETDATA_INTERNAL_CHECKS + r->internal.log = "skipped, because attempted to access the db before 'wanted after'"; + #endif + continue; + } + + // read the value from the database + storage_number n = rd->values[slot]; + calculated_number value = NAN; + if(likely(does_storage_number_exist(n))) { + + value = unpack_storage_number(n); + if(likely(value != 0.0)) + values_in_group_non_zero++; + + if(unlikely(did_storage_number_reset(n))) + group_value_flags |= RRDR_VALUE_RESET; + + } + + // add this value for grouping + r->internal.grouping_add(r, value); + values_in_group++; + db_points_read++; + + if(unlikely(values_in_group == group_size)) { + rrdr_line = rrdr_line_init(r, now, rrdr_line); + + if(unlikely(!min_date)) min_date = now; + max_date = now; + + // find the place to store our values + RRDR_VALUE_FLAGS *rrdr_value_options_ptr = &r->o[rrdr_line * r->d + dim_id_in_rrdr]; + + // update the dimension options + if(likely(values_in_group_non_zero)) + r->od[dim_id_in_rrdr] |= RRDR_DIMENSION_NONZERO; + + // store the specific point options + *rrdr_value_options_ptr = group_value_flags; + + // store the value + calculated_number value = r->internal.grouping_flush(r, rrdr_value_options_ptr); + r->v[rrdr_line * r->d + dim_id_in_rrdr] = value; + + if(likely(points_added || dim_id_in_rrdr)) { + // find the min/max across all dimensions + + if(unlikely(value < min)) min = value; + if(unlikely(value > max)) max = value; + + } + else { + // runs only when dim_id_in_rrdr == 0 && points_added == 0 + // so, on the first point added for the query. + min = max = value; + } + + points_added++; + values_in_group = 0; + group_value_flags = RRDR_VALUE_NOTHING; + values_in_group_non_zero = 0; + } + } + + r->internal.db_points_read += db_points_read; + r->internal.result_points_generated += points_added; + + r->min = min; + r->max = max; + r->before = max_date; + r->after = min_date; + rrdr_done(r, rrdr_line); + + #ifdef NETDATA_INTERNAL_CHECKS + if(unlikely(r->rows != points_added)) + error("INTERNAL ERROR: %s.%s added %zu rows, but RRDR says I added %zu.", r->st->name, rd->name, (size_t)points_added, (size_t)r->rows); + #endif +} + +// ---------------------------------------------------------------------------- +// fill RRDR for the whole chart + +#ifdef NETDATA_INTERNAL_CHECKS +static void rrd2rrdr_log_request_response_metdata(RRDR *r + , RRDR_GROUPING group_method + , int aligned + , long group + , long resampling_time + , long resampling_group + , time_t after_wanted + , time_t after_requested + , time_t before_wanted + , time_t before_requested + , long points_requested + , long points_wanted + , size_t after_slot + , size_t before_slot + , const char *msg + ) { + info("INTERNAL ERROR: rrd2rrdr() on %s update every %d with %s grouping %s (group: %ld, resampling_time: %ld, resampling_group: %ld), " + "after (got: %zu, want: %zu, req: %zu, db: %zu), " + "before (got: %zu, want: %zu, req: %zu, db: %zu), " + "duration (got: %zu, want: %zu, req: %zu, db: %zu), " + "slot (after: %zu, before: %zu, delta: %zu), " + "points (got: %ld, want: %ld, req: %ld, db: %ld), " + "%s" + , r->st->name + , r->st->update_every + + // grouping + , (aligned) ? "aligned" : "unaligned" + , group_method2string(group_method) + , group + , resampling_time + , resampling_group + + // after + , (size_t)r->after - (group - 1) * r->st->update_every + , (size_t)after_wanted + , (size_t)after_requested + , (size_t)rrdset_first_entry_t(r->st) + + // before + , (size_t)r->before + , (size_t)before_wanted + , (size_t)before_requested + , (size_t)rrdset_last_entry_t(r->st) + + // duration + , (size_t)(r->before - r->after + r->st->update_every) + , (size_t)(before_wanted - after_wanted + r->st->update_every) + , (size_t)(before_requested - after_requested) + , (size_t)((rrdset_last_entry_t(r->st) - rrdset_first_entry_t(r->st)) + r->st->update_every) + + // slot + , after_slot + , before_slot + , (after_slot > before_slot) ? (r->st->entries - after_slot + before_slot) : (before_slot - after_slot) + + // points + , r->rows + , points_wanted + , points_requested + , r->st->entries + + // message + , msg + ); +} +#endif // NETDATA_INTERNAL_CHECKS + +RRDR *rrd2rrdr( + RRDSET *st + , long points_requested + , long long after_requested + , long long before_requested + , RRDR_GROUPING group_method + , long resampling_time_requested + , RRDR_OPTIONS options + , const char *dimensions +) { + int aligned = !(options & RRDR_OPTION_NOT_ALIGNED); + + int absolute_period_requested = -1; + + time_t first_entry_t = rrdset_first_entry_t(st); + time_t last_entry_t = rrdset_last_entry_t(st); + + if(before_requested == 0 && after_requested == 0) { + // dump the all the data + before_requested = last_entry_t; + after_requested = first_entry_t; + absolute_period_requested = 0; + } + + // allow relative for before (smaller than API_RELATIVE_TIME_MAX) + if(((before_requested < 0)?-before_requested:before_requested) <= API_RELATIVE_TIME_MAX) { + if(abs(before_requested) % st->update_every) { + // make sure it is multiple of st->update_every + if(before_requested < 0) before_requested = before_requested - st->update_every - before_requested % st->update_every; + else before_requested = before_requested + st->update_every - before_requested % st->update_every; + } + if(before_requested > 0) before_requested = first_entry_t + before_requested; + else before_requested = last_entry_t + before_requested; + absolute_period_requested = 0; + } + + // allow relative for after (smaller than API_RELATIVE_TIME_MAX) + if(((after_requested < 0)?-after_requested:after_requested) <= API_RELATIVE_TIME_MAX) { + if(after_requested == 0) after_requested = -st->update_every; + if(abs(after_requested) % st->update_every) { + // make sure it is multiple of st->update_every + if(after_requested < 0) after_requested = after_requested - st->update_every - after_requested % st->update_every; + else after_requested = after_requested + st->update_every - after_requested % st->update_every; + } + after_requested = before_requested + after_requested; + absolute_period_requested = 0; + } + + if(absolute_period_requested == -1) + absolute_period_requested = 1; + + // make sure they are within our timeframe + if(before_requested > last_entry_t) before_requested = last_entry_t; + if(before_requested < first_entry_t) before_requested = first_entry_t; + + if(after_requested > last_entry_t) after_requested = last_entry_t; + if(after_requested < first_entry_t) after_requested = first_entry_t; + + // check if they are reversed + if(after_requested > before_requested) { + time_t tmp = before_requested; + before_requested = after_requested; + after_requested = tmp; + } + + // the duration of the chart + time_t duration = before_requested - after_requested; + long available_points = duration / st->update_every; + + if(duration <= 0 || available_points <= 0) + return rrdr_create(st, 1); + + // check the number of wanted points in the result + if(unlikely(points_requested < 0)) points_requested = -points_requested; + if(unlikely(points_requested > available_points)) points_requested = available_points; + if(unlikely(points_requested == 0)) points_requested = available_points; + + // calculate the desired grouping of source data points + long group = available_points / points_requested; + if(unlikely(group <= 0)) group = 1; + if(unlikely(available_points % points_requested > points_requested / 2)) group++; // rounding to the closest integer + + // resampling_time_requested enforces a certain grouping multiple + calculated_number resampling_divisor = 1.0; + long resampling_group = 1; + if(unlikely(resampling_time_requested > st->update_every)) { + if (unlikely(resampling_time_requested > duration)) { + // group_time is above the available duration + + #ifdef NETDATA_INTERNAL_CHECKS + info("INTERNAL CHECK: %s: requested gtime %ld secs, is greater than the desired duration %ld secs", st->id, resampling_time_requested, duration); + #endif + + group = available_points; // use all the points + } + else { + // the points we should group to satisfy gtime + resampling_group = resampling_time_requested / st->update_every; + if(unlikely(resampling_time_requested % st->update_every)) { + #ifdef NETDATA_INTERNAL_CHECKS + info("INTERNAL CHECK: %s: requested gtime %ld secs, is not a multiple of the chart's data collection frequency %d secs", st->id, resampling_time_requested, st->update_every); + #endif + + resampling_group++; + } + + // adapt group according to resampling_group + if(unlikely(group < resampling_group)) group = resampling_group; // do not allow grouping below the desired one + if(unlikely(group % resampling_group)) group += resampling_group - (group % resampling_group); // make sure group is multiple of resampling_group + + //resampling_divisor = group / resampling_group; + resampling_divisor = (calculated_number)(group * st->update_every) / (calculated_number)resampling_time_requested; + } + } + + // now that we have group, + // align the requested timeframe to fit it. + + if(aligned) { + // alignement has been requested, so align the values + before_requested -= (before_requested % group); + after_requested -= (after_requested % group); + } + + // we align the request on requested_before + time_t before_wanted = before_requested; + if(likely(before_wanted > last_entry_t)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: rrd2rrdr() on %s, before_wanted is after db max", st->name); + #endif + + before_wanted = last_entry_t - (last_entry_t % ( ((aligned)?group:1) * st->update_every )); + } + size_t before_slot = rrdset_time2slot(st, before_wanted); + + // we need to estimate the number of points, for having + // an integer number of values per point + long points_wanted = (before_wanted - after_requested) / st->update_every / group; + + time_t after_wanted = before_wanted - (points_wanted * group * st->update_every) + st->update_every; + if(unlikely(after_wanted < first_entry_t)) { + // hm... we go to the past, calculate again points_wanted using all the db from before_wanted to the beginning + points_wanted = (before_wanted - first_entry_t) / group; + + // recalculate after wanted with the new number of points + after_wanted = before_wanted - (points_wanted * group * st->update_every) + st->update_every; + + if(unlikely(after_wanted < first_entry_t)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: rrd2rrdr() on %s, after_wanted is before db min", st->name); + #endif + + after_wanted = first_entry_t - (first_entry_t % ( ((aligned)?group:1) * st->update_every )) + ( ((aligned)?group:1) * st->update_every ); + } + } + size_t after_slot = rrdset_time2slot(st, after_wanted); + + // check if they are reversed + if(unlikely(after_wanted > before_wanted)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: rrd2rrdr() on %s, reversed wanted after/before", st->name); + #endif + time_t tmp = before_wanted; + before_wanted = after_wanted; + after_wanted = tmp; + } + + // recalculate points_wanted using the final time-frame + points_wanted = (before_wanted - after_wanted) / st->update_every / group + 1; + if(unlikely(points_wanted < 0)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: rrd2rrdr() on %s, points_wanted is %ld", st->name, points_wanted); + #endif + points_wanted = 0; + } + +#ifdef NETDATA_INTERNAL_CHECKS + duration = before_wanted - after_wanted; + + if(after_wanted < first_entry_t) + error("INTERNAL CHECK: after_wanted %u is too small, minimum %u", (uint32_t)after_wanted, (uint32_t)first_entry_t); + + if(after_wanted > last_entry_t) + error("INTERNAL CHECK: after_wanted %u is too big, maximum %u", (uint32_t)after_wanted, (uint32_t)last_entry_t); + + if(before_wanted < first_entry_t) + error("INTERNAL CHECK: before_wanted %u is too small, minimum %u", (uint32_t)before_wanted, (uint32_t)first_entry_t); + + if(before_wanted > last_entry_t) + error("INTERNAL CHECK: before_wanted %u is too big, maximum %u", (uint32_t)before_wanted, (uint32_t)last_entry_t); + + if(before_slot >= (size_t)st->entries) + error("INTERNAL CHECK: before_slot is invalid %zu, expected 0 to %ld", before_slot, st->entries - 1); + + if(after_slot >= (size_t)st->entries) + error("INTERNAL CHECK: after_slot is invalid %zu, expected 0 to %ld", after_slot, st->entries - 1); + + if(points_wanted > (before_wanted - after_wanted) / group / st->update_every + 1) + error("INTERNAL CHECK: points_wanted %ld is more than points %ld", points_wanted, (before_wanted - after_wanted) / group / st->update_every + 1); + + if(group < resampling_group) + error("INTERNAL CHECK: group %ld is less than the desired group points %ld", group, resampling_group); + + if(group > resampling_group && group % resampling_group) + error("INTERNAL CHECK: group %ld is not a multiple of the desired group points %ld", group, resampling_group); +#endif + + // ------------------------------------------------------------------------- + // initialize our result set + // this also locks the chart for us + + RRDR *r = rrdr_create(st, points_wanted); + if(unlikely(!r)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL CHECK: Cannot create RRDR for %s, after=%u, before=%u, duration=%u, points=%ld", st->id, (uint32_t)after_wanted, (uint32_t)before_wanted, (uint32_t)duration, points_wanted); + #endif + return NULL; + } + + if(unlikely(!r->d || !points_wanted)) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL CHECK: Returning empty RRDR (no dimensions in RRDSET) for %s, after=%u, before=%u, duration=%zu, points=%ld", st->id, (uint32_t)after_wanted, (uint32_t)before_wanted, (size_t)duration, points_wanted); + #endif + return r; + } + + if(unlikely(absolute_period_requested == 1)) + r->result_options |= RRDR_RESULT_OPTION_ABSOLUTE; + else + r->result_options |= RRDR_RESULT_OPTION_RELATIVE; + + // find how many dimensions we have + long dimensions_count = r->d; + + // ------------------------------------------------------------------------- + // initialize RRDR + + r->group = group; + r->update_every = (int)group * st->update_every; + r->before = before_wanted; + r->after = after_wanted; + r->internal.points_wanted = points_wanted; + r->internal.resampling_group = resampling_group; + r->internal.resampling_divisor = resampling_divisor; + + + // ------------------------------------------------------------------------- + // assign the processor functions + + { + int i, found = 0; + for(i = 0; !found && api_v1_data_groups[i].name ;i++) { + if(api_v1_data_groups[i].value == group_method) { + r->internal.grouping_create= api_v1_data_groups[i].create; + r->internal.grouping_reset = api_v1_data_groups[i].reset; + r->internal.grouping_free = api_v1_data_groups[i].free; + r->internal.grouping_add = api_v1_data_groups[i].add; + r->internal.grouping_flush = api_v1_data_groups[i].flush; + found = 1; + } + } + if(!found) { + errno = 0; + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: grouping method %u not found for chart '%s'. Using 'average'", (unsigned int)group_method, r->st->name); + #endif + r->internal.grouping_create= grouping_create_average; + r->internal.grouping_reset = grouping_reset_average; + r->internal.grouping_free = grouping_free_average; + r->internal.grouping_add = grouping_add_average; + r->internal.grouping_flush = grouping_flush_average; + } + } + + // allocate any memory required by the grouping method + r->internal.grouping_data = r->internal.grouping_create(r); + + + // ------------------------------------------------------------------------- + // disable the not-wanted dimensions + + rrdset_check_rdlock(st); + + if(dimensions) + rrdr_disable_not_selected_dimensions(r, options, dimensions); + + + // ------------------------------------------------------------------------- + // do the work for each dimension + + time_t max_after = 0, min_before = 0; + long max_rows = 0; + + RRDDIM *rd; + long c, dimensions_used = 0, dimensions_nonzero = 0; + for(rd = st->dimensions, c = 0 ; rd && c < dimensions_count ; rd = rd->next, c++) { + + // if we need a percentage, we need to calculate all dimensions + if(unlikely(!(options & RRDR_OPTION_PERCENTAGE) && (r->od[c] & RRDR_DIMENSION_HIDDEN))) { + if(unlikely(r->od[c] & RRDR_DIMENSION_SELECTED)) r->od[c] &= ~RRDR_DIMENSION_SELECTED; + continue; + } + r->od[c] |= RRDR_DIMENSION_SELECTED; + + // reset the grouping for the new dimension + r->internal.grouping_reset(r); + + do_dimension( + r + , points_wanted + , rd + , c + , after_slot + , before_slot + , after_wanted + , before_wanted + ); + + if(r->od[c] & RRDR_DIMENSION_NONZERO) + dimensions_nonzero++; + + // verify all dimensions are aligned + if(unlikely(!dimensions_used)) { + min_before = r->before; + max_after = r->after; + max_rows = r->rows; + } + else { + if(r->after != max_after) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: 'after' mismatch between dimensions for chart '%s': max is %zu, dimension '%s' has %zu", + st->name, (size_t)max_after, rd->name, (size_t)r->after); + #endif + r->after = (r->after > max_after) ? r->after : max_after; + } + + if(r->before != min_before) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: 'before' mismatch between dimensions for chart '%s': max is %zu, dimension '%s' has %zu", + st->name, (size_t)min_before, rd->name, (size_t)r->before); + #endif + r->before = (r->before < min_before) ? r->before : min_before; + } + + if(r->rows != max_rows) { + #ifdef NETDATA_INTERNAL_CHECKS + error("INTERNAL ERROR: 'rows' mismatch between dimensions for chart '%s': max is %zu, dimension '%s' has %zu", + st->name, (size_t)max_rows, rd->name, (size_t)r->rows); + #endif + r->rows = (r->rows > max_rows) ? r->rows : max_rows; + } + } + + dimensions_used++; + } + + #ifdef NETDATA_INTERNAL_CHECKS + + if(r->internal.log) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, r->internal.log); + + if(r->rows != points_wanted) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "got 'points' is not wanted 'points'"); + + if(aligned && (r->before % group) != 0) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "'before' is not aligned but alignment is required"); + + // 'after' should not be aligned, since we start inside the first group + //if(aligned && (r->after % group) != 0) + // rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "'after' is not aligned but alignment is required"); + + if(r->before != before_requested) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "chart is not aligned to requested 'before'"); + + if(r->before != before_wanted) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "got 'before' is not wanted 'before'"); + + // reported 'after' varies, depending on group + if((r->after - (group - 1) * r->st->update_every) != after_wanted) + rrd2rrdr_log_request_response_metdata(r, group_method, aligned, group, resampling_time_requested, resampling_group, after_wanted, after_requested, before_wanted, before_requested, points_requested, points_wanted, after_slot, before_slot, "got 'after' is not wanted 'after'"); + + #endif + + // free all resources used by the grouping method + r->internal.grouping_free(r); + + // when all the dimensions are zero, we should return all of them + if(unlikely(options & RRDR_OPTION_NONZERO && !dimensions_nonzero)) { + // all the dimensions are zero + // mark them as NONZERO to send them all + for(rd = st->dimensions, c = 0 ; rd && c < dimensions_count ; rd = rd->next, c++) { + if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue; + r->od[c] |= RRDR_DIMENSION_NONZERO; + } + } + + rrdr_query_completed(r->internal.db_points_read, r->internal.result_points_generated); + return r; +} diff --git a/web/api/queries/query.h b/web/api/queries/query.h new file mode 100644 index 000000000..6b8a51c58 --- /dev/null +++ b/web/api/queries/query.h @@ -0,0 +1,24 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_DATA_QUERY_H +#define NETDATA_API_DATA_QUERY_H + +typedef enum rrdr_grouping { + RRDR_GROUPING_UNDEFINED = 0, + RRDR_GROUPING_AVERAGE, + RRDR_GROUPING_MIN, + RRDR_GROUPING_MAX, + RRDR_GROUPING_SUM, + RRDR_GROUPING_INCREMENTAL_SUM, + RRDR_GROUPING_MEDIAN, + RRDR_GROUPING_STDDEV, + RRDR_GROUPING_CV, + RRDR_GROUPING_SES, + RRDR_GROUPING_DES, +} RRDR_GROUPING; + +extern const char *group_method2string(RRDR_GROUPING group); +extern void web_client_api_v1_init_grouping(void); +extern RRDR_GROUPING web_client_api_request_v1_data_group(const char *name, RRDR_GROUPING def); + +#endif //NETDATA_API_DATA_QUERY_H diff --git a/web/api/queries/rrdr.c b/web/api/queries/rrdr.c new file mode 100644 index 000000000..e727e607e --- /dev/null +++ b/web/api/queries/rrdr.c @@ -0,0 +1,136 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "rrdr.h" + +/* +static void rrdr_dump(RRDR *r) +{ + long c, i; + RRDDIM *d; + + fprintf(stderr, "\nCHART %s (%s)\n", r->st->id, r->st->name); + + for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) { + fprintf(stderr, "DIMENSION %s (%s), %s%s%s%s\n" + , d->id + , d->name + , (r->od[c] & RRDR_EMPTY)?"EMPTY ":"" + , (r->od[c] & RRDR_RESET)?"RESET ":"" + , (r->od[c] & RRDR_DIMENSION_HIDDEN)?"HIDDEN ":"" + , (r->od[c] & RRDR_DIMENSION_NONZERO)?"NONZERO ":"" + ); + } + + if(r->rows <= 0) { + fprintf(stderr, "RRDR does not have any values in it.\n"); + return; + } + + fprintf(stderr, "RRDR includes %d values in it:\n", r->rows); + + // for each line in the array + for(i = 0; i < r->rows ;i++) { + calculated_number *cn = &r->v[ i * r->d ]; + RRDR_DIMENSION_FLAGS *co = &r->o[ i * r->d ]; + + // print the id and the timestamp of the line + fprintf(stderr, "%ld %ld ", i + 1, r->t[i]); + + // for each dimension + for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) { + if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue; + if(unlikely(!(r->od[c] & RRDR_DIMENSION_NONZERO))) continue; + + if(co[c] & RRDR_EMPTY) + fprintf(stderr, "null "); + else + fprintf(stderr, CALCULATED_NUMBER_FORMAT " %s%s%s%s " + , cn[c] + , (co[c] & RRDR_EMPTY)?"E":" " + , (co[c] & RRDR_RESET)?"R":" " + , (co[c] & RRDR_DIMENSION_HIDDEN)?"H":" " + , (co[c] & RRDR_DIMENSION_NONZERO)?"N":" " + ); + } + + fprintf(stderr, "\n"); + } +} +*/ + + + + +inline static void rrdr_lock_rrdset(RRDR *r) { + if(unlikely(!r)) { + error("NULL value given!"); + return; + } + + rrdset_rdlock(r->st); + r->has_st_lock = 1; +} + +inline static void rrdr_unlock_rrdset(RRDR *r) { + if(unlikely(!r)) { + error("NULL value given!"); + return; + } + + if(likely(r->has_st_lock)) { + rrdset_unlock(r->st); + r->has_st_lock = 0; + } +} + +inline void rrdr_free(RRDR *r) +{ + if(unlikely(!r)) { + error("NULL value given!"); + return; + } + + rrdr_unlock_rrdset(r); + freez(r->t); + freez(r->v); + freez(r->o); + freez(r->od); + freez(r); +} + +RRDR *rrdr_create(RRDSET *st, long n) +{ + if(unlikely(!st)) { + error("NULL value given!"); + return NULL; + } + + RRDR *r = callocz(1, sizeof(RRDR)); + r->st = st; + + rrdr_lock_rrdset(r); + + RRDDIM *rd; + rrddim_foreach_read(rd, st) r->d++; + + r->n = n; + + r->t = callocz((size_t)n, sizeof(time_t)); + r->v = mallocz(n * r->d * sizeof(calculated_number)); + r->o = mallocz(n * r->d * sizeof(RRDR_VALUE_FLAGS)); + r->od = mallocz(r->d * sizeof(RRDR_DIMENSION_FLAGS)); + + // set the hidden flag on hidden dimensions + int c; + for(c = 0, rd = st->dimensions ; rd ; c++, rd = rd->next) { + if(unlikely(rrddim_flag_check(rd, RRDDIM_FLAG_HIDDEN))) + r->od[c] = RRDR_DIMENSION_HIDDEN; + else + r->od[c] = RRDR_DIMENSION_DEFAULT; + } + + r->group = 1; + r->update_every = 1; + + return r; +} diff --git a/web/api/queries/rrdr.h b/web/api/queries/rrdr.h new file mode 100644 index 000000000..4f6350389 --- /dev/null +++ b/web/api/queries/rrdr.h @@ -0,0 +1,106 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_QUERIES_RRDR_H +#define NETDATA_QUERIES_RRDR_H + +#include "libnetdata/libnetdata.h" + +typedef enum rrdr_options { + RRDR_OPTION_NONZERO = 0x00000001, // don't output dimensions will just zero values + RRDR_OPTION_REVERSED = 0x00000002, // output the rows in reverse order (oldest to newest) + RRDR_OPTION_ABSOLUTE = 0x00000004, // values positive, for DATASOURCE_SSV before summing + RRDR_OPTION_MIN2MAX = 0x00000008, // when adding dimensions, use max - min, instead of sum + RRDR_OPTION_SECONDS = 0x00000010, // output seconds, instead of dates + RRDR_OPTION_MILLISECONDS = 0x00000020, // output milliseconds, instead of dates + RRDR_OPTION_NULL2ZERO = 0x00000040, // do not show nulls, convert them to zeros + RRDR_OPTION_OBJECTSROWS = 0x00000080, // each row of values should be an object, not an array + RRDR_OPTION_GOOGLE_JSON = 0x00000100, // comply with google JSON/JSONP specs + RRDR_OPTION_JSON_WRAP = 0x00000200, // wrap the response in a JSON header with info about the result + RRDR_OPTION_LABEL_QUOTES = 0x00000400, // in CSV output, wrap header labels in double quotes + RRDR_OPTION_PERCENTAGE = 0x00000800, // give values as percentage of total + RRDR_OPTION_NOT_ALIGNED = 0x00001000, // do not align charts for persistant timeframes + RRDR_OPTION_DISPLAY_ABS = 0x00002000, // for badges, display the absolute value, but calculate colors with sign + RRDR_OPTION_MATCH_IDS = 0x00004000, // when filtering dimensions, match only IDs + RRDR_OPTION_MATCH_NAMES = 0x00008000, // when filtering dimensions, match only names +} RRDR_OPTIONS; + +typedef enum rrdr_value_flag { + RRDR_VALUE_NOTHING = 0x00, // no flag set (a good default) + RRDR_VALUE_EMPTY = 0x01, // the database value is empty + RRDR_VALUE_RESET = 0x02, // the database value is marked as reset (overflown) +} RRDR_VALUE_FLAGS; + +typedef enum rrdr_dimension_flag { + RRDR_DIMENSION_DEFAULT = 0x00, + RRDR_DIMENSION_HIDDEN = 0x04, // the dimension is hidden (not to be presented to callers) + RRDR_DIMENSION_NONZERO = 0x08, // the dimension is non zero (contains non-zero values) + RRDR_DIMENSION_SELECTED = 0x10, // the dimension is selected for evaluation in this RRDR +} RRDR_DIMENSION_FLAGS; + +// RRDR result options +typedef enum rrdr_result_flags { + RRDR_RESULT_OPTION_ABSOLUTE = 0x00000001, // the query uses absolute time-frames (can be cached by browsers and proxies) + RRDR_RESULT_OPTION_RELATIVE = 0x00000002, // the query uses relative time-frames (should not to be cached by browsers and proxies) +} RRDR_RESULT_FLAGS; + +typedef struct rrdresult { + struct rrdset *st; // the chart this result refers to + + RRDR_RESULT_FLAGS result_options; // RRDR_RESULT_OPTION_* + + int d; // the number of dimensions + long n; // the number of values in the arrays + long rows; // the number of rows used + + RRDR_DIMENSION_FLAGS *od; // the options for the dimensions + + time_t *t; // array of n timestamps + calculated_number *v; // array n x d values + RRDR_VALUE_FLAGS *o; // array n x d options for each value returned + + long group; // how many collected values were grouped for each row + int update_every; // what is the suggested update frequency in seconds + + calculated_number min; + calculated_number max; + + time_t before; + time_t after; + + int has_st_lock; // if st is read locked by us + + // internal rrd2rrdr() members below this point + struct { + long points_wanted; + long resampling_group; + calculated_number resampling_divisor; + + void *(*grouping_create)(struct rrdresult *r); + void (*grouping_reset)(struct rrdresult *r); + void (*grouping_free)(struct rrdresult *r); + void (*grouping_add)(struct rrdresult *r, calculated_number value); + calculated_number (*grouping_flush)(struct rrdresult *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + void *grouping_data; + + #ifdef NETDATA_INTERNAL_CHECKS + const char *log; + #endif + + size_t db_points_read; + size_t result_points_generated; + } internal; +} RRDR; + +#define rrdr_rows(r) ((r)->rows) + +extern void rrdr_free(RRDR *r); +extern RRDR *rrdr_create(struct rrdset *st, long n); + +#include "../web_api_v1.h" +#include "web/api/queries/query.h" + +extern RRDR *rrd2rrdr(RRDSET *st, long points_requested, long long after_requested, long long before_requested, RRDR_GROUPING group_method, long resampling_time_requested, RRDR_OPTIONS options, const char *dimensions); + +#include "query.h" + +#endif //NETDATA_QUERIES_RRDR_H diff --git a/web/api/queries/ses/Makefile.am b/web/api/queries/ses/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/ses/Makefile.am @@ -0,0 +1,8 @@ +# 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/ses/Makefile.in b/web/api/queries/ses/Makefile.in new file mode 100644 index 000000000..bb538fac3 --- /dev/null +++ b/web/api/queries/ses/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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The weighting for each older datum decreases exponentially, never reaching zero. + +In simple terms, this is like an average value, but more recent values are given more weight. + +Netdata automatically adjusts the weight (`alpha`) based on the number of values processed, +using the formula: + +``` +window = max(number of values, 15) +alpha = 2 / (window + 1) +``` + +You can change the fixed value `15` by setting in `netdata.conf`: + +``` +[web] + ses max window = 15 +``` + +## how to use + +Use it in alarms like this: + +``` + alarm: my_alarm + on: my_chart +lookup: ses -1m unaligned of my_dimension + warn: $this > 1000 +``` + +`ses` does not change the units. For example, if the chart units is `requests/sec`, the exponential +moving average will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=ses` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Moving_average#exponential-moving-average](https://en.wikipedia.org/wiki/Moving_average#exponential-moving-average) +- [https://en.wikipedia.org/wiki/Exponential_smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing). diff --git a/web/api/queries/ses/ses.c b/web/api/queries/ses/ses.c new file mode 100644 index 000000000..6ea40dfba --- /dev/null +++ b/web/api/queries/ses/ses.c @@ -0,0 +1,92 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "ses.h" + + +// ---------------------------------------------------------------------------- +// single exponential smoothing + +struct grouping_ses { + calculated_number alpha; + calculated_number alpha_other; + calculated_number level; + size_t count; +}; + +static size_t max_window_size = 15; + +void grouping_init_ses(void) { + long long ret = config_get_number(CONFIG_SECTION_WEB, "ses max window", (long long)max_window_size); + if(ret <= 1) { + config_set_number(CONFIG_SECTION_WEB, "ses max window", (long long)max_window_size); + } + else { + max_window_size = (size_t) ret; + } +} + +static inline calculated_number window(RRDR *r, struct grouping_ses *g) { + (void)g; + + calculated_number points; + if(r->group == 1) { + // provide a running DES + points = r->internal.points_wanted; + } + else { + // provide a SES with flush points + points = r->group; + } + + return (points > max_window_size) ? max_window_size : points; +} + +static inline void set_alpha(RRDR *r, struct grouping_ses *g) { + // https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average + // A commonly used value for alpha is 2 / (N + 1) + g->alpha = 2.0 / (window(r, g) + 1.0); + g->alpha_other = 1.0 - g->alpha; +} + +void *grouping_create_ses(RRDR *r) { + struct grouping_ses *g = (struct grouping_ses *)callocz(1, sizeof(struct grouping_ses)); + set_alpha(r, g); + g->level = 0.0; + return g; +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_ses(RRDR *r) { + struct grouping_ses *g = (struct grouping_ses *)r->internal.grouping_data; + g->level = 0.0; + g->count = 0; +} + +void grouping_free_ses(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_ses(RRDR *r, calculated_number value) { + struct grouping_ses *g = (struct grouping_ses *)r->internal.grouping_data; + + if(isnormal(value)) { + if(unlikely(!g->count)) + g->level = value; + + g->level = g->alpha * value + g->alpha_other * g->level; + g->count++; + } +} + +calculated_number grouping_flush_ses(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_ses *g = (struct grouping_ses *)r->internal.grouping_data; + + if(unlikely(!g->count || !isnormal(g->level))) { + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + return 0.0; + } + + return g->level; +} diff --git a/web/api/queries/ses/ses.h b/web/api/queries/ses/ses.h new file mode 100644 index 000000000..603fdb57c --- /dev/null +++ b/web/api/queries/ses/ses.h @@ -0,0 +1,17 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERIES_SES_H +#define NETDATA_API_QUERIES_SES_H + +#include "../query.h" +#include "../rrdr.h" + +extern void grouping_init_ses(void); + +extern void *grouping_create_ses(RRDR *r); +extern void grouping_reset_ses(RRDR *r); +extern void grouping_free_ses(RRDR *r); +extern void grouping_add_ses(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_ses(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERIES_SES_H diff --git a/web/api/queries/stddev/Makefile.am b/web/api/queries/stddev/Makefile.am new file mode 100644 index 000000000..19554bed8 --- /dev/null +++ b/web/api/queries/stddev/Makefile.am @@ -0,0 +1,8 @@ +# 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/Makefile.in b/web/api/queries/stddev/Makefile.in new file mode 100644 index 000000000..b7ccdfdca --- /dev/null +++ b/web/api/queries/stddev/Makefile.in @@ -0,0 +1,464 @@ +# Makefile.in generated by automake 1.14.1 from Makefile.am. +# @configure_input@ + +# Copyright (C) 1994-2013 Free Software Foundation, Inc. + +# This Makefile.in is free software; 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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: + +-  +-  +-  +-  + +## References + +Check [https://en.wikipedia.org/wiki/Standard_deviation](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 alarm 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 alarm if had spikes below 800/sec or above 1200/sec. + +## how to use + +Use it in alarms like this: + +``` + alarm: my_alarm + 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: + +-  +-  +-  +-  + +## References + +Check [https://en.wikipedia.org/wiki/Coefficient_of_variation](https://en.wikipedia.org/wiki/Coefficient_of_variation). diff --git a/web/api/queries/stddev/stddev.c b/web/api/queries/stddev/stddev.c new file mode 100644 index 000000000..3858003d9 --- /dev/null +++ b/web/api/queries/stddev/stddev.c @@ -0,0 +1,178 @@ +// 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; + calculated_number m_oldM, m_newM, m_oldS, m_newS; +}; + +void *grouping_create_stddev(RRDR *r) { + long entries = r->group; + if(entries < 0) entries = 0; + + return callocz(1, sizeof(struct grouping_stddev) + entries * sizeof(LONG_DOUBLE)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_stddev(RRDR *r) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + g->count = 0; +} + +void grouping_free_stddev(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_stddev(RRDR *r, calculated_number value) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + + if(isnormal(value)) { + 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 calculated_number mean(struct grouping_stddev *g) { + return (g->count > 0) ? g->m_newM : 0.0; +} + +static inline calculated_number variance(struct grouping_stddev *g) { + return ( (g->count > 1) ? g->m_newS/(g->count - 1) : 0.0 ); +} +static inline calculated_number stddev(struct grouping_stddev *g) { + return sqrtl(variance(g)); +} + +calculated_number grouping_flush_stddev(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + + calculated_number value; + + if(likely(g->count > 1)) { + value = stddev(g); + + if(!isnormal(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 +calculated_number grouping_flush_coefficient_of_variation(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + + calculated_number value; + + if(likely(g->count > 1)) { + calculated_number m = mean(g); + value = 100.0 * stddev(g) / ((m < 0)? -m : m); + + if(unlikely(!isnormal(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 + * +calculated_number grouping_flush_mean(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + + calculated_number 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 + * +calculated_number grouping_flush_variance(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data; + + calculated_number 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 new file mode 100644 index 000000000..7a4697572 --- /dev/null +++ b/web/api/queries/stddev/stddev.h @@ -0,0 +1,18 @@ +// 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" + +extern void *grouping_create_stddev(RRDR *r); +extern void grouping_reset_stddev(RRDR *r); +extern void grouping_free_stddev(RRDR *r); +extern void grouping_add_stddev(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_stddev(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); +extern calculated_number grouping_flush_coefficient_of_variation(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); +// extern calculated_number grouping_flush_mean(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); +// extern calculated_number grouping_flush_variance(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); 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For example, if the chart units is `requests/sec`, the result +will be again expressed in the same units. + +It can also be used in APIs and badges as `&group=sum` in the URL. + +## Examples + +Examining last 1 minute `successful` web server responses: + +-  +-  +-  +-  + +## References + +- [https://en.wikipedia.org/wiki/Summation](https://en.wikipedia.org/wiki/Summation). diff --git a/web/api/queries/sum/sum.c b/web/api/queries/sum/sum.c new file mode 100644 index 000000000..0da9937a3 --- /dev/null +++ b/web/api/queries/sum/sum.c @@ -0,0 +1,58 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "sum.h" + +// ---------------------------------------------------------------------------- +// sum + +struct grouping_sum { + calculated_number sum; + size_t count; +}; + +void *grouping_create_sum(RRDR *r) { + (void)r; + return callocz(1, sizeof(struct grouping_sum)); +} + +// resets when switches dimensions +// so, clear everything to restart +void grouping_reset_sum(RRDR *r) { + struct grouping_sum *g = (struct grouping_sum *)r->internal.grouping_data; + g->sum = 0; + g->count = 0; +} + +void grouping_free_sum(RRDR *r) { + freez(r->internal.grouping_data); + r->internal.grouping_data = NULL; +} + +void grouping_add_sum(RRDR *r, calculated_number value) { + if(!isnan(value)) { + struct grouping_sum *g = (struct grouping_sum *)r->internal.grouping_data; + g->sum += value; + g->count++; + } +} + +calculated_number grouping_flush_sum(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) { + struct grouping_sum *g = (struct grouping_sum *)r->internal.grouping_data; + + calculated_number value; + + if(unlikely(!g->count)) { + value = 0.0; + *rrdr_value_options_ptr |= RRDR_VALUE_EMPTY; + } + else { + value = g->sum; + } + + g->sum = 0.0; + g->count = 0; + + return value; +} + + diff --git a/web/api/queries/sum/sum.h b/web/api/queries/sum/sum.h new file mode 100644 index 000000000..9dc8d209c --- /dev/null +++ b/web/api/queries/sum/sum.h @@ -0,0 +1,15 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#ifndef NETDATA_API_QUERY_SUM_H +#define NETDATA_API_QUERY_SUM_H + +#include "../query.h" +#include "../rrdr.h" + +extern void *grouping_create_sum(RRDR *r); +extern void grouping_reset_sum(RRDR *r); +extern void grouping_free_sum(RRDR *r); +extern void grouping_add_sum(RRDR *r, calculated_number value); +extern calculated_number grouping_flush_sum(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr); + +#endif //NETDATA_API_QUERY_SUM_H |