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app/vmselect/promql: adjust memory limits calculations for incremental aggregate functions

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Incremental aggregate functions don't keep all the selected time series in memory -
they keep only up to GOMAXPROCS time series for incremental aggregations.

Take into account that the number of time series in RAM can be higher if they are split
into many groups with `by (...)` or `without (...)` modifiers.

This should reduce the number of `not enough memory for processing ... data points` false
positive errors.
This commit is contained in:
Aliaksandr Valialkin 2019-11-08 18:45:25 +02:00
parent 7d7fbf890e
commit 33abbec6b4
1 changed files with 12 additions and 1 deletions
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13
app/vmselect/promql/eval.go
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@ -606,7 +606,18 @@ func evalRollupFuncWithMetricExpr(ec *EvalConfig, name string, rf rollupFunc, me
// Verify timeseries fit available memory after the rollup.
// Take into account points from tssCached.
pointsPerTimeseries := 1 + (ec.End-ec.Start)/ec.Step
rollupPoints := mulNoOverflow(pointsPerTimeseries, int64(rssLen*len(rcs)))
timeseriesLen := rssLen
if iafc != nil {
// Incremental aggregates require hold only GOMAXPROCS timeseries in memory.
timeseriesLen = runtime.GOMAXPROCS(-1)
if iafc.ae.Modifier.Op != "" {
// Increase the number of timeseries for non-empty group list: `aggr() by (something)`,
// since each group can have own set of time series in memory.
// Estimate the number of such groups is lower than 100 :)
timeseriesLen *= 100
}
}
rollupPoints := mulNoOverflow(pointsPerTimeseries, int64(timeseriesLen*len(rcs)))
rollupMemorySize := mulNoOverflow(rollupPoints, 16)
rml := getRollupMemoryLimiter()
if !rml.Get(uint64(rollupMemorySize)) {