app/vmselect: optimize incremental aggregates a bit

Substitute sync.Map with an ordinary slice indexed by workerID.
This should reduce the overhead when updating the incremental aggregate state

app/vmselect/netstorage/netstorage.go

@@ -207,10 +207,17 @@ type result struct {
 
 var resultPool sync.Pool
 
+// MaxWorkers returns the maximum number of workers netstorage can spin when calling RunParallel()
+func MaxWorkers() int {
+	return gomaxprocs
+}
+
+var gomaxprocs = cgroup.AvailableCPUs()
+
 // RunParallel runs f in parallel for all the results from rss.
 //
 // f shouldn't hold references to rs after returning.
-// workerID is the id of the worker goroutine that calls f.
+// workerID is the id of the worker goroutine that calls f. The workerID is in the range [0..MaxWorkers()-1].
 // Data processing is immediately stopped if f returns non-nil error.
 //
 // rss becomes unusable after the call to RunParallel.
@@ -244,7 +251,8 @@ func (rss *Results) runParallel(qt *querytracer.Tracer, f func(rs *Result, worke
 		tsw.f = f
 		tsw.mustStop = &mustStop
 	}
-	if gomaxprocs == 1 || tswsLen == 1 {
+	maxWorkers := MaxWorkers()
+	if maxWorkers == 1 || tswsLen == 1 {
 		// It is faster to process time series in the current goroutine.
 		tsw := getTimeseriesWork()
 		tmpResult := getTmpResult()
@@ -280,8 +288,8 @@ func (rss *Results) runParallel(qt *querytracer.Tracer, f func(rs *Result, worke
 
 	// Prepare worker channels.
 	workers := len(tsws)
-	if workers > gomaxprocs {
-		workers = gomaxprocs
+	if workers > maxWorkers {
+		workers = maxWorkers
 	}
 	itemsPerWorker := (len(tsws) + workers - 1) / workers
 	workChs := make([]chan *timeseriesWork, workers)
@@ -333,8 +341,6 @@ var (
 	seriesReadPerQuery = metrics.NewHistogram(`vm_series_read_per_query`)
 )
 
-var gomaxprocs = cgroup.AvailableCPUs()
-
 type packedTimeseries struct {
 	metricName string
 	brs        []blockRef
@@ -1017,7 +1023,6 @@ func ExportBlocks(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline sear
 	indexSearchDuration.UpdateDuration(startTime)
 
 	// Start workers that call f in parallel on available CPU cores.
-	gomaxprocs := cgroup.AvailableCPUs()
 	workCh := make(chan *exportWork, gomaxprocs*8)
 	var (
 		errGlobal     error

app/vmselect/promql/aggr_incremental.go

@@ -3,8 +3,9 @@ package promql
 import (
 	"math"
 	"strings"
-	"sync"
+	"unsafe"
 
+	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
 	"github.com/VictoriaMetrics/metricsql"
 )
@@ -63,31 +64,36 @@ var incrementalAggrFuncCallbacksMap = map[string]*incrementalAggrFuncCallbacks{
 	},
 }
 
+type incrementalAggrContextMap struct {
+	m map[string]*incrementalAggrContext
+
+	// The padding prevents false sharing on widespread platforms with
+	// 128 mod (cache line size) = 0 .
+	_ [128 - unsafe.Sizeof(map[string]*incrementalAggrContext{})%128]byte
+}
+
 type incrementalAggrFuncContext struct {
 	ae *metricsql.AggrFuncExpr
 
-	m sync.Map
+	byWorkerID []incrementalAggrContextMap
 
 	callbacks *incrementalAggrFuncCallbacks
 }
 
 func newIncrementalAggrFuncContext(ae *metricsql.AggrFuncExpr, callbacks *incrementalAggrFuncCallbacks) *incrementalAggrFuncContext {
 	return &incrementalAggrFuncContext{
-		ae:        ae,
-		callbacks: callbacks,
+		ae:         ae,
+		byWorkerID: make([]incrementalAggrContextMap, netstorage.MaxWorkers()),
+		callbacks:  callbacks,
 	}
 }
 
 func (iafc *incrementalAggrFuncContext) updateTimeseries(tsOrig *timeseries, workerID uint) {
-	v, ok := iafc.m.Load(workerID)
-	if !ok {
-		// It is safe creating and storing m in iafc.m without locking,
-		// since it is guaranteed that only a single goroutine can execute
-		// code for the given workerID at a time.
-		v = make(map[string]*incrementalAggrContext, 1)
-		iafc.m.Store(workerID, v)
+	v := &iafc.byWorkerID[workerID]
+	if v.m == nil {
+		v.m = make(map[string]*incrementalAggrContext, 1)
 	}
-	m := v.(map[string]*incrementalAggrContext)
+	m := v.m
 
 	ts := tsOrig
 	keepOriginal := iafc.callbacks.keepOriginal
@@ -128,9 +134,9 @@ func (iafc *incrementalAggrFuncContext) updateTimeseries(tsOrig *timeseries, wor
 func (iafc *incrementalAggrFuncContext) finalizeTimeseries() []*timeseries {
 	mGlobal := make(map[string]*incrementalAggrContext)
 	mergeAggrFunc := iafc.callbacks.mergeAggrFunc
-	iafc.m.Range(func(k, v interface{}) bool {
-		m := v.(map[string]*incrementalAggrContext)
-		for k, iac := range m {
+	byWorkerID := iafc.byWorkerID
+	for i := range byWorkerID {
+		for k, iac := range byWorkerID[i].m {
 			iacGlobal := mGlobal[k]
 			if iacGlobal == nil {
 				if iafc.ae.Limit > 0 && len(mGlobal) >= iafc.ae.Limit {
@@ -142,8 +148,7 @@ func (iafc *incrementalAggrFuncContext) finalizeTimeseries() []*timeseries {
 			}
 			mergeAggrFunc(iacGlobal, iac)
 		}
-		return true
-	})
+	}
 	tss := make([]*timeseries, 0, len(mGlobal))
 	finalizeAggrFunc := iafc.callbacks.finalizeAggrFunc
 	for _, iac := range mGlobal {