Making the number of CPUs used for WAL replay configurable (#12066)

Adds `WALReplayConcurrency` as an option on tsdb `Options` and `HeadOptions`.
If it is not set or set <=0, then `GOMAXPROCS` is used, which matches the previous behaviour.

Signed-off-by: Yuri Nikolic <durica.nikolic@grafana.com>

tsdb/db.go

@@ -125,6 +125,10 @@ type Options struct {
 	// WALCompression will turn on Snappy compression for records on the WAL.
 	WALCompression bool
 
+	// Maximum number of CPUs that can simultaneously processes WAL replay.
+	// If it is <=0, then GOMAXPROCS is used.
+	WALReplayConcurrency int
+
 	// StripeSize is the size in entries of the series hash map. Reducing the size will save memory but impact performance.
 	StripeSize int
 
@@ -782,6 +786,9 @@ func open(dir string, l log.Logger, r prometheus.Registerer, opts *Options, rngs
 	headOpts.EnableNativeHistograms.Store(opts.EnableNativeHistograms)
 	headOpts.OutOfOrderTimeWindow.Store(opts.OutOfOrderTimeWindow)
 	headOpts.OutOfOrderCapMax.Store(opts.OutOfOrderCapMax)
+	if opts.WALReplayConcurrency > 0 {
+		headOpts.WALReplayConcurrency = opts.WALReplayConcurrency
+	}
 	if opts.IsolationDisabled {
 		// We only override this flag if isolation is disabled at DB level. We use the default otherwise.
 		headOpts.IsolationDisabled = opts.IsolationDisabled

tsdb/head.go

@@ -18,6 +18,7 @@ import (
 	"io"
 	"math"
 	"path/filepath"
+	"runtime"
 	"sync"
 	"time"
 
@@ -58,6 +59,8 @@ var (
 
 	// defaultIsolationDisabled is true if isolation is disabled by default.
 	defaultIsolationDisabled = false
+
+	defaultWALReplayConcurrency = runtime.GOMAXPROCS(0)
 )
 
 // Head handles reads and writes of time series data within a time window.
@@ -155,6 +158,11 @@ type HeadOptions struct {
 	EnableMemorySnapshotOnShutdown bool
 
 	IsolationDisabled bool
+
+	// Maximum number of CPUs that can simultaneously processes WAL replay.
+	// The default value is GOMAXPROCS.
+	// If it is set to a negative value or zero, the default value is used.
+	WALReplayConcurrency int
 }
 
 const (
@@ -172,6 +180,7 @@ func DefaultHeadOptions() *HeadOptions {
 		StripeSize:           DefaultStripeSize,
 		SeriesCallback:       &noopSeriesLifecycleCallback{},
 		IsolationDisabled:    defaultIsolationDisabled,
+		WALReplayConcurrency: defaultWALReplayConcurrency,
 	}
 	ho.OutOfOrderCapMax.Store(DefaultOutOfOrderCapMax)
 	return ho
@@ -247,6 +256,10 @@ func NewHead(r prometheus.Registerer, l log.Logger, wal, wbl *wlog.WL, opts *Hea
 		opts.ChunkPool = chunkenc.NewPool()
 	}
 
+	if opts.WALReplayConcurrency <= 0 {
+		opts.WALReplayConcurrency = defaultWALReplayConcurrency
+	}
+
 	h.chunkDiskMapper, err = chunks.NewChunkDiskMapper(
 		r,
 		mmappedChunksDir(opts.ChunkDirRoot),

tsdb/head_wal.go

@@ -18,7 +18,6 @@ import (
 	"math"
 	"os"
 	"path/filepath"
-	"runtime"
 	"strconv"
 	"strings"
 	"sync"
@@ -65,13 +64,13 @@ func (h *Head) loadWAL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 	// Start workers that each process samples for a partition of the series ID space.
 	var (
 		wg             sync.WaitGroup
-		n              = runtime.GOMAXPROCS(0)
-		processors     = make([]walSubsetProcessor, n)
+		concurrency    = h.opts.WALReplayConcurrency
+		processors     = make([]walSubsetProcessor, concurrency)
 		exemplarsInput chan record.RefExemplar
 
 		dec             record.Decoder
-		shards          = make([][]record.RefSample, n)
-		histogramShards = make([][]histogramRecord, n)
+		shards          = make([][]record.RefSample, concurrency)
+		histogramShards = make([][]histogramRecord, concurrency)
 
 		decoded                      = make(chan interface{}, 10)
 		decodeErr, seriesCreationErr error
@@ -116,7 +115,7 @@ func (h *Head) loadWAL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 		// For CorruptionErr ensure to terminate all workers before exiting.
 		_, ok := err.(*wlog.CorruptionErr)
 		if ok || seriesCreationErr != nil {
-			for i := 0; i < n; i++ {
+			for i := 0; i < concurrency; i++ {
 				processors[i].closeAndDrain()
 			}
 			close(exemplarsInput)
@@ -124,8 +123,8 @@ func (h *Head) loadWAL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 		}
 	}()
 
-	wg.Add(n)
-	for i := 0; i < n; i++ {
+	wg.Add(concurrency)
+	for i := 0; i < concurrency; i++ {
 		processors[i].setup()
 
 		go func(wp *walSubsetProcessor) {
@@ -276,7 +275,7 @@ Outer:
 					multiRef[walSeries.Ref] = mSeries.ref
 				}
 
-				idx := uint64(mSeries.ref) % uint64(n)
+				idx := uint64(mSeries.ref) % uint64(concurrency)
 				processors[idx].input <- walSubsetProcessorInputItem{walSeriesRef: walSeries.Ref, existingSeries: mSeries}
 			}
 			//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
@@ -293,7 +292,7 @@ Outer:
 				if len(samples) < m {
 					m = len(samples)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if shards[i] == nil {
 						shards[i] = processors[i].reuseBuf()
 					}
@@ -305,10 +304,10 @@ Outer:
 					if r, ok := multiRef[sam.Ref]; ok {
 						sam.Ref = r
 					}
-					mod := uint64(sam.Ref) % uint64(n)
+					mod := uint64(sam.Ref) % uint64(concurrency)
 					shards[mod] = append(shards[mod], sam)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if len(shards[i]) > 0 {
 						processors[i].input <- walSubsetProcessorInputItem{samples: shards[i]}
 						shards[i] = nil
@@ -351,7 +350,7 @@ Outer:
 				if len(samples) < m {
 					m = len(samples)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if histogramShards[i] == nil {
 						histogramShards[i] = processors[i].reuseHistogramBuf()
 					}
@@ -363,10 +362,10 @@ Outer:
 					if r, ok := multiRef[sam.Ref]; ok {
 						sam.Ref = r
 					}
-					mod := uint64(sam.Ref) % uint64(n)
+					mod := uint64(sam.Ref) % uint64(concurrency)
 					histogramShards[mod] = append(histogramShards[mod], histogramRecord{ref: sam.Ref, t: sam.T, h: sam.H})
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if len(histogramShards[i]) > 0 {
 						processors[i].input <- walSubsetProcessorInputItem{histogramSamples: histogramShards[i]}
 						histogramShards[i] = nil
@@ -388,7 +387,7 @@ Outer:
 				if len(samples) < m {
 					m = len(samples)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if histogramShards[i] == nil {
 						histogramShards[i] = processors[i].reuseHistogramBuf()
 					}
@@ -400,10 +399,10 @@ Outer:
 					if r, ok := multiRef[sam.Ref]; ok {
 						sam.Ref = r
 					}
-					mod := uint64(sam.Ref) % uint64(n)
+					mod := uint64(sam.Ref) % uint64(concurrency)
 					histogramShards[mod] = append(histogramShards[mod], histogramRecord{ref: sam.Ref, t: sam.T, fh: sam.FH})
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					if len(histogramShards[i]) > 0 {
 						processors[i].input <- walSubsetProcessorInputItem{histogramSamples: histogramShards[i]}
 						histogramShards[i] = nil
@@ -444,7 +443,7 @@ Outer:
 	}
 
 	// Signal termination to each worker and wait for it to close its output channel.
-	for i := 0; i < n; i++ {
+	for i := 0; i < concurrency; i++ {
 		processors[i].closeAndDrain()
 	}
 	close(exemplarsInput)
@@ -686,11 +685,11 @@ func (h *Head) loadWBL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 	// Start workers that each process samples for a partition of the series ID space.
 	var (
 		wg          sync.WaitGroup
-		n          = runtime.GOMAXPROCS(0)
-		processors = make([]wblSubsetProcessor, n)
+		concurrency = h.opts.WALReplayConcurrency
+		processors  = make([]wblSubsetProcessor, concurrency)
 
 		dec    record.Decoder
-		shards = make([][]record.RefSample, n)
+		shards = make([][]record.RefSample, concurrency)
 
 		decodedCh   = make(chan interface{}, 10)
 		decodeErr   error
@@ -712,15 +711,15 @@ func (h *Head) loadWBL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 		_, ok := err.(*wlog.CorruptionErr)
 		if ok {
 			err = &errLoadWbl{err: err}
-			for i := 0; i < n; i++ {
+			for i := 0; i < concurrency; i++ {
 				processors[i].closeAndDrain()
 			}
 			wg.Wait()
 		}
 	}()
 
-	wg.Add(n)
-	for i := 0; i < n; i++ {
+	wg.Add(concurrency)
+	for i := 0; i < concurrency; i++ {
 		processors[i].setup()
 
 		go func(wp *wblSubsetProcessor) {
@@ -779,17 +778,17 @@ func (h *Head) loadWBL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 				if len(samples) < m {
 					m = len(samples)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					shards[i] = processors[i].reuseBuf()
 				}
 				for _, sam := range samples[:m] {
 					if r, ok := multiRef[sam.Ref]; ok {
 						sam.Ref = r
 					}
-					mod := uint64(sam.Ref) % uint64(n)
+					mod := uint64(sam.Ref) % uint64(concurrency)
 					shards[mod] = append(shards[mod], sam)
 				}
-				for i := 0; i < n; i++ {
+				for i := 0; i < concurrency; i++ {
 					processors[i].input <- shards[i]
 				}
 				samples = samples[m:]
@@ -816,7 +815,7 @@ func (h *Head) loadWBL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 					mmapMarkerUnknownRefs.Inc()
 					continue
 				}
-				idx := uint64(ms.ref) % uint64(n)
+				idx := uint64(ms.ref) % uint64(concurrency)
 				// It is possible that some old sample is being processed in processWALSamples that
 				// could cause race below. So we wait for the goroutine to empty input the buffer and finish
 				// processing all old samples after emptying the buffer.
@@ -845,7 +844,7 @@ func (h *Head) loadWBL(r *wlog.Reader, multiRef map[chunks.HeadSeriesRef]chunks.
 	}
 
 	// Signal termination to each worker and wait for it to close its output channel.
-	for i := 0; i < n; i++ {
+	for i := 0; i < concurrency; i++ {
 		processors[i].closeAndDrain()
 	}
 	wg.Wait()
@@ -1381,18 +1380,18 @@ func (h *Head) loadChunkSnapshot() (int, int, map[chunks.HeadSeriesRef]*memSerie
 	var (
 		numSeries        = 0
 		unknownRefs      = int64(0)
-		n                = runtime.GOMAXPROCS(0)
+		concurrency      = h.opts.WALReplayConcurrency
 		wg               sync.WaitGroup
-		recordChan       = make(chan chunkSnapshotRecord, 5*n)
-		shardedRefSeries = make([]map[chunks.HeadSeriesRef]*memSeries, n)
-		errChan          = make(chan error, n)
+		recordChan       = make(chan chunkSnapshotRecord, 5*concurrency)
+		shardedRefSeries = make([]map[chunks.HeadSeriesRef]*memSeries, concurrency)
+		errChan          = make(chan error, concurrency)
 		refSeries        map[chunks.HeadSeriesRef]*memSeries
 		exemplarBuf      []record.RefExemplar
 		dec              record.Decoder
 	)
 
-	wg.Add(n)
-	for i := 0; i < n; i++ {
+	wg.Add(concurrency)
+	for i := 0; i < concurrency; i++ {
 		go func(idx int, rc <-chan chunkSnapshotRecord) {
 			defer wg.Done()
 			defer func() {