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cd50bf4236
* expose the order of group by * key renames in json wrapper v2 * added group by context and group by units * added view_average_values * fix for view_average_values when percentage is specified * option group-by-labels is enabling the exposure of all the labels that are used for each of the final grouped dimensions * when executing group by queries, allocate one dimension data at a time - not all of them * respect hidden dimensions * cancel running data query on socket error * use poll to detect socket errors * use POLLRDHUP to detect half closed connections * make sure POLLRDHUP is available * do not destroy aral-by-size arals * completed documentation of /api/v2/data. * moved min, max back to view; updated swagger yaml and json * default format for /api/v2/data is json2
56 lines
1.5 KiB
C
56 lines
1.5 KiB
C
// SPDX-License-Identifier: GPL-3.0-or-later
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#include "average.h"
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// ----------------------------------------------------------------------------
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// average
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struct grouping_average {
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NETDATA_DOUBLE sum;
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size_t count;
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};
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void grouping_create_average(RRDR *r, const char *options __maybe_unused) {
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r->time_grouping.data = onewayalloc_callocz(r->internal.owa, 1, sizeof(struct grouping_average));
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}
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// resets when switches dimensions
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// so, clear everything to restart
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void grouping_reset_average(RRDR *r) {
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struct grouping_average *g = (struct grouping_average *)r->time_grouping.data;
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g->sum = 0;
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g->count = 0;
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}
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void grouping_free_average(RRDR *r) {
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onewayalloc_freez(r->internal.owa, r->time_grouping.data);
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r->time_grouping.data = NULL;
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}
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void grouping_add_average(RRDR *r, NETDATA_DOUBLE value) {
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struct grouping_average *g = (struct grouping_average *)r->time_grouping.data;
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g->sum += value;
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g->count++;
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}
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NETDATA_DOUBLE grouping_flush_average(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
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struct grouping_average *g = (struct grouping_average *)r->time_grouping.data;
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NETDATA_DOUBLE value;
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if(unlikely(!g->count)) {
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value = 0.0;
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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}
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else {
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if(unlikely(r->time_grouping.resampling_group != 1))
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value = g->sum / r->time_grouping.resampling_divisor;
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else
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value = g->sum / g->count;
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}
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g->sum = 0.0;
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g->count = 0;
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return value;
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}
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