VictoriaMetrics/app/vmselect/graphite/eval.go

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package graphite
import (
"flag"
"fmt"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/graphiteql"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/searchutils"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/auth"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
)
var maxGraphiteSeries = flag.Int("search.maxGraphiteSeries", 300e3, "The maximum number of time series, which can be scanned during queries to Graphite Render API. "+
"See https://docs.victoriametrics.com/#graphite-render-api-usage")
type evalConfig struct {
at *auth.Token
startTime int64
endTime int64
storageStep int64
denyPartialResponse bool
deadline searchutils.Deadline
currentTime time.Time
// xFilesFactor is used for determining when consolidateFunc must be applied.
//
// 0 means that consolidateFunc should be applied if at least a single non-NaN data point exists on the given step.
// 1 means that consolidateFunc should be applied if all the data points are non-NaN on the given step.
xFilesFactor float64
// Enforced tag filters
etfs [][]storage.TagFilter
// originalQuery contains the original query - used for debug logging.
originalQuery string
}
func (ec *evalConfig) pointsLen(step int64) int {
return int((ec.endTime - ec.startTime) / step)
}
func (ec *evalConfig) newTimestamps(step int64) []int64 {
pointsLen := ec.pointsLen(step)
timestamps := make([]int64, pointsLen)
ts := ec.startTime
for i := 0; i < pointsLen; i++ {
timestamps[i] = ts
ts += step
}
return timestamps
}
type series struct {
Name string
Tags map[string]string
Timestamps []int64
Values []float64
// holds current path expression like graphite does.
pathExpression string
expr graphiteql.Expr
// consolidateFunc is applied to raw samples in order to generate data points algined to the given step.
// see series.consolidate() function for details.
consolidateFunc aggrFunc
// xFilesFactor is used for determining when consolidateFunc must be applied.
//
// 0 means that consolidateFunc should be applied if at least a single non-NaN data point exists on the given step.
// 1 means that consolidateFunc should be applied if all the data points are non-NaN on the given step.
xFilesFactor float64
step int64
}
func (s *series) consolidate(ec *evalConfig, step int64) {
aggrFunc := s.consolidateFunc
if aggrFunc == nil {
aggrFunc = aggrAvg
}
xFilesFactor := s.xFilesFactor
if s.xFilesFactor <= 0 {
xFilesFactor = ec.xFilesFactor
}
s.summarize(aggrFunc, ec.startTime, ec.endTime, step, xFilesFactor)
}
func (s *series) summarize(aggrFunc aggrFunc, startTime, endTime, step int64, xFilesFactor float64) {
pointsLen := int((endTime - startTime) / step)
timestamps := s.Timestamps
values := s.Values
dstTimestamps := make([]int64, 0, pointsLen)
dstValues := make([]float64, 0, pointsLen)
ts := startTime
i := 0
for len(dstTimestamps) < pointsLen {
tsEnd := ts + step
j := i
for j < len(timestamps) && timestamps[j] < tsEnd {
j++
}
if i == j && i > 0 && ts-timestamps[i-1] <= 2000 {
// The current [ts ... tsEnd) interval has no samples,
// but the last sample on the previous interval [ts - step ... ts)
// is closer than 2 seconds to the current interval.
// Let's consider that this sample belongs to the current interval,
// since such discrepancy could appear because of small jitter in samples' ingestion.
i--
}
v := aggrFunc.apply(xFilesFactor, values[i:j])
dstTimestamps = append(dstTimestamps, ts)
dstValues = append(dstValues, v)
ts = tsEnd
i = j
}
// Do not reuse s.Timestamps and s.Values, since they can be too big
s.Timestamps = dstTimestamps
s.Values = dstValues
s.step = step
}
func execExpr(ec *evalConfig, query string) (nextSeriesFunc, error) {
expr, err := graphiteql.Parse(query)
if err != nil {
return nil, fmt.Errorf("cannot parse %q: %w", query, err)
}
return evalExpr(ec, expr)
}
func evalExpr(ec *evalConfig, expr graphiteql.Expr) (nextSeriesFunc, error) {
switch t := expr.(type) {
case *graphiteql.MetricExpr:
return evalMetricExpr(ec, t)
case *graphiteql.FuncExpr:
return evalFuncExpr(ec, t)
default:
return nil, fmt.Errorf("unexpected expression type %T; want graphiteql.MetricExpr or graphiteql.FuncExpr; expr: %q", t, t.AppendString(nil))
}
}
func evalMetricExpr(ec *evalConfig, me *graphiteql.MetricExpr) (nextSeriesFunc, error) {
tfs := []storage.TagFilter{{
Key: []byte("__graphite__"),
Value: []byte(me.Query),
}}
tfss := joinTagFilterss(tfs, ec.etfs)
sq := storage.NewSearchQuery(ec.at.AccountID, ec.at.ProjectID, ec.startTime, ec.endTime, tfss, *maxGraphiteSeries)
return newNextSeriesForSearchQuery(ec, sq, me)
}
func newNextSeriesForSearchQuery(ec *evalConfig, sq *storage.SearchQuery, expr graphiteql.Expr) (nextSeriesFunc, error) {
rss, _, err := netstorage.ProcessSearchQuery(nil, ec.denyPartialResponse, sq, ec.deadline)
if err != nil {
return nil, fmt.Errorf("cannot fetch data for %q: %w", sq, err)
}
seriesCh := make(chan *series, cgroup.AvailableCPUs())
errCh := make(chan error, 1)
go func() {
err := rss.RunParallel(nil, func(rs *netstorage.Result, _ uint) error {
nameWithTags := getCanonicalPath(&rs.MetricName)
tags := unmarshalTags(nameWithTags)
s := &series{
Name: tags["name"],
Tags: tags,
Timestamps: append([]int64{}, rs.Timestamps...),
Values: append([]float64{}, rs.Values...),
expr: expr,
pathExpression: string(expr.AppendString(nil)),
}
s.summarize(aggrAvg, ec.startTime, ec.endTime, ec.storageStep, 0)
t := timerpool.Get(30 * time.Second)
select {
case seriesCh <- s:
case <-t.C:
logger.Errorf("resource leak when processing the %s (full query: %s); please report this error to VictoriaMetrics developers",
expr.AppendString(nil), ec.originalQuery)
}
timerpool.Put(t)
return nil
})
close(seriesCh)
errCh <- err
}()
f := func() (*series, error) {
s := <-seriesCh
if s != nil {
return s, nil
}
err := <-errCh
return nil, err
}
return f, nil
}
func evalFuncExpr(ec *evalConfig, fe *graphiteql.FuncExpr) (nextSeriesFunc, error) {
// Do not lowercase the fe.FuncName, since Graphite function names are case-sensitive.
tf := transformFuncs[fe.FuncName]
if tf == nil {
return nil, fmt.Errorf("unknown function %q", fe.FuncName)
}
nextSeries, err := tf(ec, fe)
if err != nil {
return nil, fmt.Errorf("cannot evaluate %s: %w", fe.AppendString(nil), err)
}
return nextSeries, nil
}