mirror of
https://github.com/ClusterCockpit/cc-metric-store.git
synced 2025-07-23 05:11:41 +02:00
Resampler implemented
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@@ -47,13 +47,14 @@ type ErrorResponse struct {
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}
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type ApiMetricData struct {
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Error *string `json:"error,omitempty"`
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Data util.FloatArray `json:"data,omitempty"`
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From int64 `json:"from"`
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To int64 `json:"to"`
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Avg util.Float `json:"avg"`
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Min util.Float `json:"min"`
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Max util.Float `json:"max"`
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Error *string `json:"error,omitempty"`
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Data util.FloatArray `json:"data,omitempty"`
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From int64 `json:"from"`
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To int64 `json:"to"`
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Resolution int64 `json:"resolution"`
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Avg util.Float `json:"avg"`
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Min util.Float `json:"min"`
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Max util.Float `json:"max"`
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}
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func handleError(err error, statusCode int, rw http.ResponseWriter) {
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@@ -234,6 +235,7 @@ type ApiQuery struct {
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SubType *string `json:"subtype,omitempty"`
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Metric string `json:"metric"`
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Hostname string `json:"host"`
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Resolution int64 `json:"resolution"`
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TypeIds []string `json:"type-ids,omitempty"`
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SubTypeIds []string `json:"subtype-ids,omitempty"`
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ScaleFactor util.Float `json:"scale-by,omitempty"`
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@@ -336,8 +338,8 @@ func handleQuery(rw http.ResponseWriter, r *http.Request) {
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res := make([]ApiMetricData, 0, len(sels))
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for _, sel := range sels {
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data := ApiMetricData{}
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data.Data, data.From, data.To, err = ms.Read(sel, query.Metric, req.From, req.To)
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// log.Printf("data: %#v, %#v, %#v, %#v", data.Data, data.From, data.To, err)
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data.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)
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if err != nil {
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msg := err.Error()
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data.Error = &msg
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@@ -107,6 +107,10 @@ func (l *Level) sizeInBytes() int64 {
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}
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}
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for _, child := range l.children {
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size += child.sizeInBytes()
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}
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return size
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}
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@@ -10,6 +10,7 @@ import (
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"github.com/ClusterCockpit/cc-metric-store/internal/config"
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"github.com/ClusterCockpit/cc-metric-store/internal/util"
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"github.com/ClusterCockpit/cc-metric-store/pkg/resampler"
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)
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var (
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@@ -178,17 +179,18 @@ func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metric
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// If the level does not hold the metric itself, the data will be aggregated recursively from the children.
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// The second and third return value are the actual from/to for the data. Those can be different from
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// the range asked for if no data was available.
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func (m *MemoryStore) Read(selector util.Selector, metric string, from, to int64) ([]util.Float, int64, int64, error) {
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func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]util.Float, int64, int64, int64, error) {
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if from > to {
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return nil, 0, 0, errors.New("invalid time range")
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return nil, 0, 0, 0, errors.New("invalid time range")
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}
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minfo, ok := m.Metrics[metric]
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if !ok {
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return nil, 0, 0, errors.New("unkown metric: " + metric)
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return nil, 0, 0, 0, errors.New("unkown metric: " + metric)
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}
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n, data := 0, make([]util.Float, (to-from)/minfo.Frequency+1)
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err := m.root.findBuffers(selector, minfo.Offset, func(b *buffer) error {
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cdata, cfrom, cto, err := b.read(from, to, data)
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if err != nil {
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@@ -221,9 +223,9 @@ func (m *MemoryStore) Read(selector util.Selector, metric string, from, to int64
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})
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if err != nil {
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return nil, 0, 0, err
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return nil, 0, 0, 0, err
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} else if n == 0 {
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return nil, 0, 0, errors.New("metric or host not found")
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return nil, 0, 0, 0, errors.New("metric or host not found")
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} else if n > 1 {
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if minfo.Aggregation == config.AvgAggregation {
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normalize := 1. / util.Float(n)
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@@ -231,11 +233,17 @@ func (m *MemoryStore) Read(selector util.Selector, metric string, from, to int64
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data[i] *= normalize
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}
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} else if minfo.Aggregation != config.SumAggregation {
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return nil, 0, 0, errors.New("invalid aggregation")
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return nil, 0, 0, 0, errors.New("invalid aggregation")
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}
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}
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return data, from, to, nil
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data, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)
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if err != nil {
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return nil, 0, 0, 0, err
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}
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return data, from, to, resolution, nil
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}
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// Release all buffers for the selected level and all its children that contain only
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