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-rw-r--r--src/web/api/formatters/value/value.c153
1 files changed, 153 insertions, 0 deletions
diff --git a/src/web/api/formatters/value/value.c b/src/web/api/formatters/value/value.c
new file mode 100644
index 000000000..0ec1b1265
--- /dev/null
+++ b/src/web/api/formatters/value/value.c
@@ -0,0 +1,153 @@
+// SPDX-License-Identifier: GPL-3.0-or-later
+
+#include "value.h"
+
+inline NETDATA_DOUBLE rrdr2value(RRDR *r, long i, RRDR_OPTIONS options, int *all_values_are_null, NETDATA_DOUBLE *anomaly_rate) {
+ size_t c;
+
+ NETDATA_DOUBLE *cn = &r->v[ i * r->d ];
+ RRDR_VALUE_FLAGS *co = &r->o[ i * r->d ];
+ NETDATA_DOUBLE *ar = &r->ar[ i * r->d ];
+
+ NETDATA_DOUBLE sum = 0, min = NAN, max = NAN, v = NAN;
+ size_t dims = 0;
+
+ NETDATA_DOUBLE total_anomaly_rate = 0;
+
+ // for each dimension
+ for (c = 0; c < r->d ; c++) {
+ if(unlikely(!rrdr_dimension_should_be_exposed(r->od[c], options)))
+ continue;
+
+ if(unlikely((co[c] & RRDR_VALUE_EMPTY)))
+ continue;
+
+ NETDATA_DOUBLE n = cn[c];
+
+ if(unlikely(!dims))
+ min = max = n;
+
+ sum += n;
+
+ if (n < min) min = n;
+ if (n > max) max = n;
+
+ total_anomaly_rate += ar[c];
+
+ dims++;
+ }
+
+ if(!dims) {
+ if(anomaly_rate)
+ *anomaly_rate = 0;
+
+ if(all_values_are_null)
+ *all_values_are_null = 1;
+
+ return (options & RRDR_OPTION_NULL2ZERO) ? 0 : NAN;
+ }
+
+ if(anomaly_rate)
+ *anomaly_rate = total_anomaly_rate / (NETDATA_DOUBLE)dims;
+
+ if(all_values_are_null)
+ *all_values_are_null = 0;
+
+ if(options & RRDR_OPTION_DIMS_MIN2MAX)
+ v = max - min;
+ else if(options & RRDR_OPTION_DIMS_AVERAGE)
+ v = sum / (NETDATA_DOUBLE)dims;
+ else if(options & RRDR_OPTION_DIMS_MIN)
+ v = min;
+ else if(options & RRDR_OPTION_DIMS_MAX)
+ v = max;
+ else
+ v = sum;
+
+ if((options & RRDR_OPTION_NULL2ZERO) && (isnan(v) || isinf(v)))
+ v = 0;
+
+ return v;
+}
+
+QUERY_VALUE rrdmetric2value(RRDHOST *host,
+ struct rrdcontext_acquired *rca, struct rrdinstance_acquired *ria, struct rrdmetric_acquired *rma,
+ time_t after, time_t before,
+ RRDR_OPTIONS options, RRDR_TIME_GROUPING time_group_method, const char *time_group_options,
+ size_t tier, time_t timeout, QUERY_SOURCE query_source, STORAGE_PRIORITY priority
+) {
+ QUERY_TARGET_REQUEST qtr = {
+ .version = 1,
+ .host = host,
+ .rca = rca,
+ .ria = ria,
+ .rma = rma,
+ .after = after,
+ .before = before,
+ .points = 1,
+ .options = options,
+ .time_group_method = time_group_method,
+ .time_group_options = time_group_options,
+ .tier = tier,
+ .timeout_ms = timeout,
+ .query_source = query_source,
+ .priority = priority,
+ };
+
+ ONEWAYALLOC *owa = onewayalloc_create(16 * 1024);
+ QUERY_TARGET *qt = query_target_create(&qtr);
+ RRDR *r = rrd2rrdr(owa, qt);
+
+ QUERY_VALUE qv;
+
+ if(!r || rrdr_rows(r) == 0) {
+ qv = (QUERY_VALUE) {
+ .value = NAN,
+ .anomaly_rate = NAN,
+ .sp = {
+ .count = 0,
+ .min = NAN,
+ .max = NAN,
+ .sum = NAN,
+ .anomaly_count = 0,
+ },
+ .duration_ut = (r) ? r->internal.qt->timings.executed_ut - r->internal.qt->timings.received_ut : 0,
+ };
+ }
+ else {
+ qv = (QUERY_VALUE) {
+ .after = r->view.after,
+ .before = r->view.before,
+ .points_read = r->stats.db_points_read,
+ .result_points = r->stats.result_points_generated,
+ .sp = {
+ .count = 0,
+ },
+ .duration_ut = r->internal.qt->timings.executed_ut - r->internal.qt->timings.received_ut,
+ };
+
+ for(size_t d = 0; d < r->internal.qt->query.used ;d++) {
+ if(!rrdr_dimension_should_be_exposed(r->internal.qt->query.array[d].status, options))
+ continue;
+
+ storage_point_merge_to(qv.sp, r->internal.qt->query.array[d].query_points);
+ }
+
+ for(size_t t = 0; t < storage_tiers ;t++)
+ qv.storage_points_per_tier[t] = r->internal.qt->db.tiers[t].points;
+
+ long i = (!(options & RRDR_OPTION_REVERSED))?(long)rrdr_rows(r) - 1:0;
+ int all_values_are_null = 0;
+ qv.value = rrdr2value(r, i, options, &all_values_are_null, &qv.anomaly_rate);
+ if(all_values_are_null) {
+ qv.value = NAN;
+ qv.anomaly_rate = NAN;
+ }
+ }
+
+ rrdr_free(owa, r);
+ query_target_release(qt);
+ onewayalloc_destroy(owa);
+
+ return qv;
+}