forked from mirror/client_golang
Optimization attempt.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
This commit is contained in:
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@ -43,25 +43,61 @@ var separatorByteSlice = []byte{model.SeparatorByte} // For convenient use with
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// Use CachedTGatherer with classic Registry using NewMultiTRegistry and ToTransactionalGatherer helpers.
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// NOTE(bwplotka): Experimental, API and behaviour can change.
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type CachedTGatherer struct {
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metrics map[uint64]*dto.Metric
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metricFamilyByName map[string]*dto.MetricFamily
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metricFamilyByName map[string]*family
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mMu sync.RWMutex
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}
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func NewCachedTGatherer() *CachedTGatherer {
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return &CachedTGatherer{
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metrics: make(map[uint64]*dto.Metric),
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metricFamilyByName: map[string]*dto.MetricFamily{},
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metricFamilyByName: map[string]*family{},
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}
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}
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type family struct {
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*dto.MetricFamily
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metricsByHash map[uint64]*dto.Metric
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}
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// normalizeMetricFamilies returns a MetricFamily slice with empty
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// MetricFamilies pruned and the remaining MetricFamilies sorted by name within
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// the slice, with the contained Metrics sorted within each MetricFamily.
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func normalizeMetricFamilies(metricFamiliesByName map[string]*family) []*dto.MetricFamily {
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for _, mf := range metricFamiliesByName {
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if cap(mf.Metric) < len(mf.metricsByHash) {
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mf.Metric = make([]*dto.Metric, 0, len(mf.metricsByHash))
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}
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mf.Metric = mf.Metric[:0]
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for _, m := range mf.metricsByHash {
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mf.Metric = append(mf.Metric, m)
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}
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sort.Sort(internal.MetricSorter(mf.Metric))
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}
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for _, mf := range metricFamiliesByName {
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sort.Sort(internal.MetricSorter(mf.Metric))
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}
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names := make([]string, 0, len(metricFamiliesByName))
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for name, mf := range metricFamiliesByName {
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if len(mf.Metric) > 0 {
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names = append(names, name)
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}
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}
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sort.Strings(names)
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result := make([]*dto.MetricFamily, 0, len(names))
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for _, name := range names {
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result = append(result, metricFamiliesByName[name].MetricFamily)
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}
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return result
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}
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// Gather implements TransactionalGatherer interface.
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func (c *CachedTGatherer) Gather() (_ []*dto.MetricFamily, done func(), err error) {
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c.mMu.RLock()
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// BenchmarkCachedTGatherer_Update shows, even for 1 million metrics with 1000 families
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// BenchmarkCachedTGatherer_Update shows, even for 1 million metrics among 1000 families
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// this is efficient enough (~300µs and ~50 kB per op), no need to cache it for now.
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return internal.NormalizeMetricFamilies(c.metricFamilyByName), c.mMu.RUnlock, nil
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return normalizeMetricFamilies(c.metricFamilyByName), c.mMu.RUnlock, nil
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}
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type Key struct {
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@ -123,11 +159,9 @@ func (c *CachedTGatherer) Update(reset bool, inserts []Insert, deletions []Key)
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c.mMu.Lock()
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defer c.mMu.Unlock()
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currMetrics := c.metrics
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currMetricFamilies := c.metricFamilyByName
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currMetricFamilyByName := c.metricFamilyByName
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if reset {
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currMetrics = make(map[uint64]*dto.Metric, len(c.metrics))
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currMetricFamilies = make(map[string]*dto.MetricFamily, len(c.metricFamilyByName))
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currMetricFamilyByName = make(map[string]*family, len(c.metricFamilyByName))
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}
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errs := prometheus.MultiError{}
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@ -139,22 +173,35 @@ func (c *CachedTGatherer) Update(reset bool, inserts []Insert, deletions []Key)
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}
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// Update metric family.
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mf, ok := c.metricFamilyByName[inserts[i].FQName]
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mf, ok := currMetricFamilyByName[inserts[i].FQName]
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oldMf, oldOk := c.metricFamilyByName[inserts[i].FQName]
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if !ok {
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mf = &dto.MetricFamily{}
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if !oldOk {
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mf = &family{
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MetricFamily: &dto.MetricFamily{},
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metricsByHash: map[uint64]*dto.Metric{},
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}
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mf.Name = &inserts[i].FQName
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} else if reset {
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// Reset metric slice, since we want to start from scratch.
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mf.Metric = mf.Metric[:0]
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mf = &family{
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MetricFamily: oldMf.MetricFamily,
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metricsByHash: make(map[uint64]*dto.Metric, len(oldMf.metricsByHash)),
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}
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}
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}
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mf.Type = inserts[i].ValueType.ToDTO()
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mf.Help = &inserts[i].Help
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currMetricFamilies[inserts[i].FQName] = mf
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currMetricFamilyByName[inserts[i].FQName] = mf
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// Update metric pointer.
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hSum := inserts[i].hash()
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m, ok := c.metrics[hSum]
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m, ok := mf.metricsByHash[hSum]
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if !ok && reset && oldOk {
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m, ok = oldMf.metricsByHash[hSum]
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}
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if !ok {
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m = &dto.Metric{Label: make([]*dto.LabelPair, 0, len(inserts[i].LabelNames))}
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for j := range inserts[i].LabelNames {
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@ -202,16 +249,7 @@ func (c *CachedTGatherer) Update(reset bool, inserts []Insert, deletions []Key)
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if inserts[i].Timestamp != nil {
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m.TimestampMs = proto.Int64(inserts[i].Timestamp.Unix()*1000 + int64(inserts[i].Timestamp.Nanosecond()/1000000))
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}
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currMetrics[hSum] = m
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if !reset && ok {
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// If we did update without reset and we found metric in previous
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// map, we know metric pointer exists in metric family map, so just continue.
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continue
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}
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// Will be sorted later anyway, so just append.
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mf.Metric = append(mf.Metric, m)
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mf.metricsByHash[hSum] = m
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}
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for _, del := range deletions {
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@ -220,42 +258,18 @@ func (c *CachedTGatherer) Update(reset bool, inserts []Insert, deletions []Key)
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continue
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}
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mf, ok := currMetricFamilyByName[del.FQName]
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if !ok {
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continue
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}
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hSum := del.hash()
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m, ok := currMetrics[hSum]
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if !ok {
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if _, ok := mf.metricsByHash[hSum]; !ok {
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continue
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}
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delete(currMetrics, hSum)
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mf, ok := currMetricFamilies[del.FQName]
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if !ok {
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// Impossible, but well...
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errs.Append(fmt.Errorf("could not remove metric %s(%s) from metric family, metric family does not exists", del.FQName, del.LabelValues))
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continue
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delete(mf.metricsByHash, hSum)
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}
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toDel := -1
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for i := range mf.Metric {
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if mf.Metric[i] == m {
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toDel = i
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break
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}
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}
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if toDel == -1 {
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errs.Append(fmt.Errorf("could not remove metric %s(%s) from metric family, metric family does not have such metric", del.FQName, del.LabelValues))
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continue
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}
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if len(mf.Metric) == 1 {
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delete(currMetricFamilies, del.FQName)
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continue
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}
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mf.Metric = append(mf.Metric[:toDel], mf.Metric[toDel+1:]...)
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}
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c.metrics = currMetrics
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c.metricFamilyByName = currMetricFamilies
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c.metricFamilyByName = currMetricFamilyByName
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return errs.MaybeUnwrap()
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}
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@ -220,7 +220,7 @@ func BenchmarkCachedTGatherer_Update(b *testing.B) {
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b.Error("update:", err)
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}
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if len(c.metricFamilyByName) != 1e3 || len(c.metrics) != 1e6 {
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if len(c.metricFamilyByName) != 1e3 || len(c.metricFamilyByName["realistic_longer_name_123"].metricsByHash) != 1e3 {
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// Ensure we did not generate duplicates.
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panic("generated data set gave wrong numbers")
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}
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@ -35,18 +35,18 @@ func (s LabelPairSorter) Less(i, j int) bool {
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return s[i].GetName() < s[j].GetName()
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}
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// metricSorter is a sortable slice of *dto.Metric.
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type metricSorter []*dto.Metric
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// MetricSorter is a sortable slice of *dto.Metric.
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type MetricSorter []*dto.Metric
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func (s metricSorter) Len() int {
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func (s MetricSorter) Len() int {
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return len(s)
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}
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func (s metricSorter) Swap(i, j int) {
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func (s MetricSorter) Swap(i, j int) {
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s[i], s[j] = s[j], s[i]
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}
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func (s metricSorter) Less(i, j int) bool {
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func (s MetricSorter) Less(i, j int) bool {
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if len(s[i].Label) != len(s[j].Label) {
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// This should not happen. The metrics are
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// inconsistent. However, we have to deal with the fact, as
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@ -84,7 +84,7 @@ func (s metricSorter) Less(i, j int) bool {
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// the slice, with the contained Metrics sorted within each MetricFamily.
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func NormalizeMetricFamilies(metricFamiliesByName map[string]*dto.MetricFamily) []*dto.MetricFamily {
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for _, mf := range metricFamiliesByName {
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sort.Sort(metricSorter(mf.Metric))
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sort.Sort(MetricSorter(mf.Metric))
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}
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names := make([]string, 0, len(metricFamiliesByName))
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for name, mf := range metricFamiliesByName {
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