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Stream aggregation may yield inaccurate results if it processes incomplete data. This issue can arise when data is sourced from clients that maintain a queue of unsent data, such as Prometheus or vmagent. If the queue isn't fully cleared within the aggregation interval, only a portion of the time series may be included in that period, leading to distorted calculations. To mitigate this we add an option to ignore first N aggregation intervals. It is expected, that client queues will be cleared during the time while aggregation ignores first N intervals and all subsequent aggregations will be correct. |
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.. | ||
common | ||
csvimport | ||
datadogsketches | ||
datadogv1 | ||
datadogv2 | ||
graphite | ||
influx | ||
native | ||
newrelic | ||
opentelemetry | ||
opentsdb | ||
opentsdbhttp | ||
prometheusimport | ||
prompush | ||
promremotewrite | ||
relabel | ||
static/css | ||
vmimport | ||
main.go | ||
README.md |
vminsert
routes the ingested data to vmstorage
.