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