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lib/{mergeset,storage}: limit the maximum number of concurrent merges; leave smaller number of parts during final merge
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78166cc478
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@ -633,7 +633,7 @@ func (tb *Table) mergeInmemoryBlocks(blocksToMerge []*inmemoryBlock) *partWrappe
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}
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func (tb *Table) startPartMergers() {
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for i := 0; i < mergeWorkers; i++ {
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for i := 0; i < mergeWorkersCount; i++ {
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tb.partMergersWG.Add(1)
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go func() {
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if err := tb.partMerger(); err != nil {
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@ -683,7 +683,7 @@ func (tb *Table) partMerger() error {
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if err != errNothingToMerge {
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return err
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}
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if time.Since(lastMergeTime) > 10*time.Second {
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if time.Since(lastMergeTime) > 30*time.Second {
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// We have free time for merging into bigger parts.
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// This should improve select performance.
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lastMergeTime = time.Now()
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@ -901,12 +901,12 @@ func (tb *Table) maxOutPartItemsSlow() uint64 {
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// Calculate the maximum number of items in the output merge part
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// by dividing the freeSpace by 4 and by the number of concurrent
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// mergeWorkers.
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// mergeWorkersCount.
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// This assumes each item is compressed into 4 bytes.
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return freeSpace / uint64(mergeWorkers) / 4
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return freeSpace / uint64(mergeWorkersCount) / 4
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}
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var mergeWorkers = func() int {
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var mergeWorkersCount = func() int {
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return runtime.GOMAXPROCS(-1)
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}()
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@ -1246,30 +1246,31 @@ func appendPartsToMerge(dst, src []*partWrapper, maxPartsToMerge int, maxItems u
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for i := 2; i <= n; i++ {
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for j := 0; j <= len(src)-i; j++ {
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itemsSum := uint64(0)
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for _, pw := range src[j : j+i] {
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a := src[j : j+i]
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for _, pw := range a {
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itemsSum += pw.p.ph.itemsCount
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}
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if itemsSum > maxItems {
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continue
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// There is no sense in checking the remaining bigger parts.
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break
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}
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m := float64(itemsSum) / float64(src[j+i-1].p.ph.itemsCount)
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m := float64(itemsSum) / float64(a[len(a)-1].p.ph.itemsCount)
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if m < maxM {
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continue
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}
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maxM = m
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pws = src[j : j+i]
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pws = a
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}
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}
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minM := float64(maxPartsToMerge / 2)
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if minM < 2 {
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minM = 2
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minM := float64(maxPartsToMerge) / 2
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if minM < 1.7 {
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minM = 1.7
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}
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if maxM < minM {
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// There is no sense in merging parts with too small m.
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return dst
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}
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return append(dst, pws...)
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}
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@ -58,7 +58,7 @@ const defaultPartsToMerge = 15
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// It must be smaller than defaultPartsToMerge.
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// Lower value improves select performance at the cost of increased
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// write amplification.
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const finalPartsToMerge = 3
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const finalPartsToMerge = 2
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// getMaxRowsPerPartition returns the maximum number of rows that haven't been converted into parts yet.
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func getMaxRawRowsPerPartition() int {
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@ -734,7 +734,7 @@ func (pt *partition) mergePartsOptimal(pws []*partWrapper) error {
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return nil
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}
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var mergeWorkers = func() int {
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var mergeWorkersCount = func() int {
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n := runtime.GOMAXPROCS(-1) / 2
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if n <= 0 {
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n = 1
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@ -742,16 +742,18 @@ var mergeWorkers = func() int {
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return n
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}()
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var bigMergeConcurrencyLimitCh = make(chan struct{}, mergeWorkersCount)
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var smallMergeConcurrencyLimitCh = make(chan struct{}, mergeWorkersCount)
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func (pt *partition) startMergeWorkers() {
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for i := 0; i < mergeWorkers; i++ {
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for i := 0; i < mergeWorkersCount; i++ {
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pt.smallPartsMergerWG.Add(1)
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go func() {
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pt.smallPartsMerger()
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pt.smallPartsMergerWG.Done()
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}()
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}
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for i := 0; i < mergeWorkers; i++ {
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for i := 0; i < mergeWorkersCount; i++ {
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pt.bigPartsMergerWG.Add(1)
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go func() {
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pt.bigPartsMerger()
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@ -798,7 +800,7 @@ func (pt *partition) partsMerger(mergerFunc func(isFinal bool) error) error {
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if err != errNothingToMerge {
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return err
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}
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if time.Since(lastMergeTime) > 10*time.Second {
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if time.Since(lastMergeTime) > 30*time.Second {
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// We have free time for merging into bigger parts.
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// This should improve select performance.
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lastMergeTime = time.Now()
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@ -825,11 +827,11 @@ func maxRowsByPath(path string) uint64 {
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// Calculate the maximum number of rows in the output merge part
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// by dividing the freeSpace by the number of concurrent
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// mergeWorkers for big parts.
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// mergeWorkersCount for big parts.
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// This assumes each row is compressed into 1 byte. Production
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// simulation shows that each row usually occupies up to 0.5 bytes,
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// so this is quite safe assumption.
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maxRows := freeSpace / uint64(mergeWorkers)
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maxRows := freeSpace / uint64(mergeWorkersCount)
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if maxRows > maxRowsPerBigPart {
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maxRows = maxRowsPerBigPart
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}
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@ -878,7 +880,9 @@ func (pt *partition) mergeBigParts(isFinal bool) error {
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atomic.AddUint64(&pt.bigMergesCount, 1)
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atomic.AddUint64(&pt.activeBigMerges, 1)
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bigMergeConcurrencyLimitCh <- struct{}{}
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err := pt.mergeParts(pws, pt.stopCh)
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<-bigMergeConcurrencyLimitCh
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atomic.AddUint64(&pt.activeBigMerges, ^uint64(0))
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return err
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@ -905,7 +909,9 @@ func (pt *partition) mergeSmallParts(isFinal bool) error {
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atomic.AddUint64(&pt.smallMergesCount, 1)
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atomic.AddUint64(&pt.activeSmallMerges, 1)
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smallMergeConcurrencyLimitCh <- struct{}{}
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err := pt.mergeParts(pws, pt.stopCh)
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<-smallMergeConcurrencyLimitCh
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atomic.AddUint64(&pt.activeSmallMerges, ^uint64(0))
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return err
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@ -1165,13 +1171,10 @@ func appendPartsToMerge(dst, src []*partWrapper, maxPartsToMerge int, maxRows ui
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sort.Slice(src, func(i, j int) bool {
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a := &src[i].p.ph
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b := &src[j].p.ph
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if a.RowsCount < b.RowsCount {
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return true
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if a.RowsCount == b.RowsCount {
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return a.MinTimestamp > b.MinTimestamp
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}
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if a.RowsCount > b.RowsCount {
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return false
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}
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return a.MinTimestamp > b.MinTimestamp
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return a.RowsCount < b.RowsCount
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})
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n := maxPartsToMerge
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@ -1185,31 +1188,32 @@ func appendPartsToMerge(dst, src []*partWrapper, maxPartsToMerge int, maxRows ui
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maxM := float64(0)
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for i := 2; i <= n; i++ {
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for j := 0; j <= len(src)-i; j++ {
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a := src[j : j+i]
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rowsSum := uint64(0)
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for _, pw := range src[j : j+i] {
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for _, pw := range a {
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rowsSum += pw.p.ph.RowsCount
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}
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if rowsSum > maxRows {
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continue
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// There is no need in verifying remaining parts with higher number of rows
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break
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}
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m := float64(rowsSum) / float64(src[j+i-1].p.ph.RowsCount)
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m := float64(rowsSum) / float64(a[len(a)-1].p.ph.RowsCount)
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if m < maxM {
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continue
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}
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maxM = m
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pws = src[j : j+i]
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pws = a
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}
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}
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minM := float64(maxPartsToMerge / 2)
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if minM < 2 {
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minM = 2
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minM := float64(maxPartsToMerge) / 2
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if minM < 1.7 {
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minM = 1.7
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}
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if maxM < minM {
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// There is no sense in merging parts with too small m.
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return dst
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}
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return append(dst, pws...)
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}
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