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netdata_netdata/ml/Query.h
Stelios Fragkakis 49234f23de
Multi-Tier database backend for long term metrics storage ()
* Tier part 1

* Tier part 2

* Tier part 3

* Tier part 4

* Tier part 5

* Fix some ML compilation errors

* fix more conflicts

* pass proper tier

* move metric_uuid from state to RRDDIM

* move aclk_live_status from state to RRDDIM

* move ml_dimension from state to RRDDIM

* abstracted the data collection interface

* support flushing for mem db too

* abstracted the query api

* abstracted latest/oldest time per metric

* cleanup

* store_metric for tier1

* fix for store_metric

* allow multiple tiers, more than 2

* state to tier

* Change storage type in db. Query param to request min, max, sum or average

* Store tier data correctly

* Fix skipping tier page type

* Add tier grouping in the tier

* Fix to handle archived charts (part 1)

* Temp fix for query granularity when requesting tier1 data

* Fix parameters in the correct order and calculate the anomaly based on the anomaly count

* Proper tiering grouping

* Anomaly calculation based on anomaly count

* force type checking on storage handles

* update cmocka tests

* fully dynamic number of storage tiers

* fix static allocation

* configure grouping for all tiers; disable tiers for unittest; disable statsd configuration for private charts mode

* use default page dt using the tiering info

* automatic selection of tier

* fix for automatic selection of tier

* working prototype of dynamic tier selection

* automatic selection of tier done right (I hope)

* ask for the proper tier value, based on the grouping function

* fixes for unittests and load_metric_next()

* fixes for lgtm findings

* minor renames

* add dbengine to page cache size setting

* add dbengine to page cache with malloc

* query engine optimized to loop as little are required based on the view_update_every

* query engine grouping methods now do not assume a constant number of points per group and they allocate memory with OWA

* report db points per tier in jsonwrap

* query planer that switches database tiers on the fly to satisfy the query for the entire timeframe

* dbegnine statistics and documentation (in progress)

* calculate average point duration in db

* handle single point pages the best we can

* handle single point pages even better

* Keep page type in the rrdeng_page_descr

* updated doc

* handle future backwards compatibility - improved statistics

* support &tier=X in queries

* enfore increasing iterations on tiers

* tier 1 is always 1 iteration

* backfilling higher tiers on first data collection

* reversed anomaly bit

* set up to 5 tiers

* natural points should only be offered on tier 0, except a specific tier is selected

* do not allow more than 65535 points of tier0 to be aggregated on any tier

* Work only on actually activated tiers

* fix query interpolation

* fix query interpolation again

* fix lgtm finding

* Activate one tier for now

* backfilling of higher tiers using raw metrics from lower tiers

* fix for crash on start when storage tiers is increased from the default

* more statistics on exit

* fix bug that prevented higher tiers to get any values; added backfilling options

* fixed the statistics log line

* removed limit of 255 iterations per tier; moved the code of freezing rd->tiers[x]->db_metric_handle

* fixed division by zero on zero points_wanted

* removed dead code

* Decide on the descr->type for the type of metric

* dont store metrics on unknown page types

* free db_metric_handle on sql based context queries

* Disable STORAGE_POINT value check in the exporting engine unit tests

* fix for db modes other than dbengine

* fix for aclk archived chart queries destroying db_metric_handles of valid rrddims

* fix left-over freez() instead of OWA freez on median queries

Co-authored-by: Costa Tsaousis <costa@netdata.cloud>
Co-authored-by: Vladimir Kobal <vlad@prokk.net>
2022-07-06 14:01:53 +03:00

48 lines
964 B
C++

#ifndef QUERY_H
#define QUERY_H
#include "ml-private.h"
namespace ml {
class Query {
public:
Query(RRDDIM *RD) : RD(RD) {
Ops = &RD->tiers[0]->query_ops;
}
time_t latestTime() {
return Ops->latest_time(RD->tiers[0]->db_metric_handle);
}
time_t oldestTime() {
return Ops->oldest_time(RD->tiers[0]->db_metric_handle);
}
void init(time_t AfterT, time_t BeforeT) {
Ops->init(RD->tiers[0]->db_metric_handle, &Handle, AfterT, BeforeT, TIER_QUERY_FETCH_SUM);
}
bool isFinished() {
return Ops->is_finished(&Handle);
}
std::pair<time_t, CalculatedNumber> nextMetric() {
STORAGE_POINT sp = Ops->next_metric(&Handle);
return { sp.start_time, sp.sum / sp.count };
}
~Query() {
Ops->finalize(&Handle);
}
private:
RRDDIM *RD;
struct rrddim_query_ops *Ops;
struct rrddim_query_handle Handle;
};
} // namespace ml
#endif /* QUERY_H */