mirror of
https://github.com/ClusterCockpit/cc-metric-store.git
synced 2024-11-10 05:07:25 +01:00
251 lines
5.7 KiB
Go
251 lines
5.7 KiB
Go
package main
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import (
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"fmt"
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"math"
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"strings"
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"sync"
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"time"
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"github.com/ClusterCockpit/cc-metric-store/lineprotocol"
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)
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type storeBuffer struct {
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store []lineprotocol.Float
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start int64
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}
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type buffer struct {
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current *storeBuffer
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next *storeBuffer
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lock sync.Mutex
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}
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//MemoryStore holds the state for a metric memory store.
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//It does not export any variable.
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type MemoryStore struct {
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containers map[string]*buffer
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offsets map[string]int
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frequency int
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numSlots int
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numMetrics int
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lock sync.Mutex
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}
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func initBuffer(b *storeBuffer) {
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for i := 0; i < len(b.store); i++ {
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b.store[i] = lineprotocol.Float(math.NaN())
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}
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}
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func allocateBuffer(ts int64, size int) *buffer {
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b := new(buffer)
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s := make([]lineprotocol.Float, size)
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b.current = &storeBuffer{s, ts}
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initBuffer(b.current)
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s = make([]lineprotocol.Float, size)
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b.next = &storeBuffer{s, 0}
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initBuffer(b.next)
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return b
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}
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func switchBuffers(m *MemoryStore, b *buffer) {
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initBuffer(b.next)
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b.current, b.next = b.next, b.current
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b.current.start = b.next.start + int64(m.numSlots*m.frequency)
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}
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func newMemoryStore(o []string, n int, f int) *MemoryStore {
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var m MemoryStore
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m.frequency = f
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m.numSlots = n
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m.containers = make(map[string]*buffer)
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m.offsets = make(map[string]int)
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for i, name := range o {
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m.offsets[name] = i
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}
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m.numMetrics = len(o)
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return &m
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}
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// AddMetrics writes metrics to the memoryStore for entity key
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// at unix epoch time ts. The unit of ts is seconds.
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// An error is returned if ts is out of bounds of MemoryStore.
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func (m *MemoryStore) AddMetrics(
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key string,
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ts int64,
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metrics []lineprotocol.Metric) error {
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m.lock.Lock()
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b, ok := m.containers[key]
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if !ok {
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//Key does not exist. Allocate new buffer.
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m.containers[key] = allocateBuffer(ts, m.numMetrics*m.numSlots)
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b = m.containers[key]
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}
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m.lock.Unlock()
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b.lock.Lock()
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defer b.lock.Unlock()
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index := int(ts-b.current.start) / m.frequency
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if index < 0 || index >= 2*m.numSlots {
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return fmt.Errorf("ts %d out of bounds", ts)
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}
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if index >= m.numSlots {
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//Index exceeds buffer length. Switch buffers.
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switchBuffers(m, b)
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index = int(ts-b.current.start) / m.frequency
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}
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s := b.current.store
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for _, metric := range metrics {
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s[m.offsets[metric.Name]*m.numSlots+index] = metric.Value
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}
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return nil
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}
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// GetMetric returns a slize with metric values for timerange
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// and entity key. Returns an error if key does not exist,
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// stop is before start or start is in the future.
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func (m *MemoryStore) GetMetric(
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key string,
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metric string,
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from int64,
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to int64) ([]lineprotocol.Float, int64, error) {
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m.lock.Lock()
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b, ok := m.containers[key]
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m.lock.Unlock()
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if !ok {
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return nil, 0, fmt.Errorf("key %s does not exist", key)
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}
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b.lock.Lock()
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defer b.lock.Unlock()
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if to <= from {
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return nil, 0, fmt.Errorf("invalid duration %d - %d", from, to)
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}
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if from > b.current.start+int64(m.numSlots*m.frequency) {
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return nil, 0, fmt.Errorf("from %d out of bounds", from)
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}
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if to < b.next.start {
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return nil, 0, fmt.Errorf("to %d out of bounds", to)
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}
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var values1, values2 []lineprotocol.Float
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offset := m.offsets[metric] * m.numSlots
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valuesFrom := from
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if from < b.current.start && b.next.start != 0 {
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var start, stop = 0, m.numSlots
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if from > b.next.start {
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start = int(from-b.next.start) / m.frequency
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} else {
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valuesFrom = b.next.start
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}
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if to < b.current.start {
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stop = int(to-b.next.start) / m.frequency
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}
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// fmt.Println("NEXT", start, stop)
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values1 = b.next.store[offset+start : offset+stop]
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}
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if to >= b.current.start {
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var start, stop = 0, m.numSlots
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if from > b.current.start {
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start = int(from-b.current.start) / m.frequency
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}
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if to <= b.current.start+int64(m.numSlots*m.frequency) {
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stop = int(to-b.current.start) / m.frequency
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}
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// fmt.Println("CURRENT", start, stop, b.current.start)
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values2 = b.current.store[offset+start : offset+stop]
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}
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return append(values1, values2...), valuesFrom, nil
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}
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// Call *f* once on every value which *GetMetric* would
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// return for similar arguments. This operation might be known
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// as fold in Ruby/Haskell/Scala. It can be used to implement
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// the calculation of sums, averages, minimas and maximas.
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// The advantage of using this over *GetMetric* for such calculations
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// is that it can be implemented without copying data.
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// TODO: Write Tests, implement without calling GetMetric!
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func (m *MemoryStore) Reduce(
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key string, metric string,
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from int64, to int64,
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f func(t int64, acc lineprotocol.Float, x lineprotocol.Float) lineprotocol.Float, initialX lineprotocol.Float) (lineprotocol.Float, error) {
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values, valuesFrom, err := m.GetMetric(key, metric, from, to)
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if err != nil {
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return 0.0, err
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}
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acc := initialX
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t := valuesFrom
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for i := 0; i < len(values); i++ {
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acc = f(t, acc, values[i])
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t += int64(m.frequency)
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}
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return acc, nil
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}
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// Return a map of keys to a map of metrics to the most recent value writen to
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// the store for that metric.
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// TODO: Write Tests!
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func (m *MemoryStore) Peak(prefix string) map[string]map[string]lineprotocol.Float {
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m.lock.Lock()
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defer m.lock.Unlock()
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now := time.Now().Unix()
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retval := make(map[string]map[string]lineprotocol.Float)
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for key, b := range m.containers {
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if !strings.HasPrefix(key, prefix) {
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continue
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}
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b.lock.Lock()
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index := int(now-b.current.start) / m.frequency
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if index >= m.numSlots {
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index = m.numSlots - 1
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}
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vals := make(map[string]lineprotocol.Float)
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for metric, offset := range m.offsets {
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val := lineprotocol.Float(math.NaN())
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for i := index; i >= 0 && math.IsNaN(float64(val)); i -= 1 {
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val = b.current.store[offset*m.numSlots+i]
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}
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vals[metric] = val
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}
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b.lock.Unlock()
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retval[key[len(prefix):]] = vals
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}
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return retval
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}
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