mirror of
https://github.com/ClusterCockpit/cc-metric-store.git
synced 2025-09-17 22:14:31 +02:00
New unfinished MemoryStore implementation
This commit is contained in:
275
memstore.go
Normal file
275
memstore.go
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@@ -0,0 +1,275 @@
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package main
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import (
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"errors"
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"sync"
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)
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// Default buffer capacity.
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// `buffer.data` will only ever grow up to it's capacity and a new link
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// in the buffer chain will be created if needed so that no copying
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// of needs to happen on writes.
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const (
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BUFFER_CAP int = 1024
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)
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// So that we can reuse allocations
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var bufferPool sync.Pool = sync.Pool{
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New: func() interface{} {
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return make([]Float, 0, BUFFER_CAP)
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},
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}
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// Each metric on each level has it's own buffer.
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// This is where the actual values go.
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type buffer struct {
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frequency int64 // Time between two "slots"
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start int64 // Timestamp of when `data[0]` was written.
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data []Float // The slice should never reallocacte as `cap(data)` is respected.
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prev, next *buffer // `prev` contains older data, `next` newer data.
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}
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func newBuffer(ts, freq int64) *buffer {
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return &buffer{
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frequency: freq,
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start: ts,
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data: bufferPool.Get().([]Float)[:0],
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prev: nil,
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next: nil,
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}
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}
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// If a new buffer was created, the new head is returnd.
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// Otherwise, the existing buffer is returnd.
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func (b *buffer) write(ts int64, value Float) (*buffer, error) {
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if ts < b.start {
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return nil, errors.New("cannot write value to buffer from past")
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}
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idx := int((ts - b.start) / b.frequency)
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if idx >= cap(b.data) {
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newbuf := newBuffer(ts, b.frequency)
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newbuf.prev = b
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b.next = newbuf
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b = newbuf
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idx = 0
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}
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// Overwriting value or writing value from past
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if idx < len(b.data) {
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b.data[idx] = value
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return b, nil
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}
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// Fill up unwritten slots with NaN
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for i := len(b.data); i < idx; i++ {
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b.data = append(b.data, NaN)
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}
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b.data = append(b.data, value)
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return b, nil
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}
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// Return all known values from `from` to `to`. Gaps of information are
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// represented by NaN. If values at the start or end are missing,
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// instead of NaN values, the second and thrid return values contain
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// the actual `from`/`to`.
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func (b *buffer) read(from, to int64) ([]Float, int64, int64, error) {
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if from < b.start {
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if b.prev != nil {
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return b.prev.read(from, to)
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}
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from = b.start
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}
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data := make([]Float, 0, (to-from)/b.frequency+1)
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var t int64
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for t = from; t < to; t += b.frequency {
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idx := int((t - b.start) / b.frequency)
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if idx >= cap(b.data) {
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b = b.next
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if b == nil {
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return data, from, t, nil
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}
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idx = 0
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}
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if t < b.start || idx >= len(b.data) {
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data = append(data, NaN)
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} else {
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data = append(data, b.data[idx])
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}
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}
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return data, from, t, nil
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}
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// Could also be called "node" as this forms a node in a tree structure.
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// Called level because "node" might be confusing here.
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// Can be both a leaf or a inner node. In this structue, inner nodes can
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// also hold data (in `metrics`).
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type level struct {
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lock sync.Mutex // There is performance to be gained by having different locks for `metrics` and `children` (Spinlock?).
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metrics map[string]*buffer // Every level can store metrics.
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children map[string]*level // Sub-granularities/nodes. Use `sync.Map`?
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}
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// Caution: the lock of the returned level will be LOCKED.
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// Find the correct level for the given selector, creating it if
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// it does not exist. Example selector in the context of the
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// ClusterCockpit could be: []string{ "emmy", "host123", "cpu", "0" }
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// This function would probably benefit a lot from `level.children` beeing a `sync.Map`?
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func (l *level) findLevelOrCreate(selector []string) *level {
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l.lock.Lock()
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if len(selector) == 0 {
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return l
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}
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child, ok := l.children[selector[0]]
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if !ok {
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child = &level{
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metrics: make(map[string]*buffer),
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children: make(map[string]*level),
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}
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l.children[selector[0]] = child
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}
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l.lock.Unlock()
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return child.findLevelOrCreate(selector[1:])
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}
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// This function assmumes that `l.lock` is LOCKED!
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// Read `buffer.read` for context. This function does
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// a lot of short-lived allocations and copies if this is
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// not the "native" level for the requested metric. There
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// is a lot of optimization potential here!
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// Optimization suggestion: Pass a buffer as argument onto which the values should be added.
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func (l *level) read(metric string, from, to int64, accumulation string) ([]Float, int64, int64, error) {
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if b, ok := l.metrics[metric]; ok {
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// Whoo, this is the "native" level of this metric:
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return b.read(from, to)
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}
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if len(l.children) == 0 {
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return nil, 0, 0, errors.New("no data for that metric/level")
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}
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if len(l.children) == 1 {
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for _, child := range l.children {
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child.lock.Lock()
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data, from, to, err := child.read(metric, from, to, accumulation)
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child.lock.Unlock()
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return data, from, to, err
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}
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}
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// "slow" case: We need to accumulate metrics accross levels/scopes/tags/whatever.
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var data []Float = nil
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for _, child := range l.children {
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child.lock.Lock()
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cdata, cfrom, cto, err := child.read(metric, from, to, accumulation)
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child.lock.Unlock()
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if err != nil {
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return nil, 0, 0, err
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}
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if data == nil {
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data = cdata
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from = cfrom
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to = cto
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continue
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}
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if cfrom != from || cto != to {
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// TODO: Here, we could take the max of cfrom and from and the min of cto and to instead.
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// This would mean that we also have to resize data.
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return nil, 0, 0, errors.New("data for metrics at child levels does not align")
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}
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if len(data) != len(cdata) {
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panic("WTF? Different freq. at different levels?")
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}
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for i := 0; i < len(data); i++ {
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data[i] += cdata[i]
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}
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}
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switch accumulation {
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case "sum":
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return data, from, to, nil
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case "avg":
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normalize := 1. / Float(len(l.children))
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for i := 0; i < len(data); i++ {
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data[i] *= normalize
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}
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return data, from, to, nil
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default:
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return nil, 0, 0, errors.New("invalid accumulation strategy: " + accumulation)
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}
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}
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type MemoryStore struct {
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root level // root of the tree structure
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metrics map[string]MetricConfig
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}
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func NewMemoryStore(metrics map[string]MetricConfig) *MemoryStore {
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return &MemoryStore{
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root: level{
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metrics: make(map[string]*buffer),
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children: make(map[string]*level),
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},
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metrics: metrics,
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}
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}
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// Write all values in `metrics` to the level specified by `selector` for time `ts`.
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// Look at `findLevelOrCreate` for how selectors work.
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func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {
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l := m.root.findLevelOrCreate(selector)
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defer l.lock.Unlock()
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for _, metric := range metrics {
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b, ok := l.metrics[metric.Name]
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if !ok {
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minfo, ok := m.metrics[metric.Name]
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if !ok {
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return errors.New("unkown metric: " + metric.Name)
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}
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// First write to this metric and level
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b = newBuffer(ts, minfo.Frequency)
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l.metrics[metric.Name] = b
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}
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nb, err := b.write(ts, metric.Value)
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if err != nil {
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return err
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}
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// Last write created a new buffer...
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if b != nb {
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l.metrics[metric.Name] = nb
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}
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}
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return nil
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}
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func (m *MemoryStore) Read(selector []string, metric string, from, to int64) ([]Float, int64, int64, error) {
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l := m.root.findLevelOrCreate(selector)
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defer l.lock.Unlock()
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if from > to {
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return nil, 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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}
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return l.read(metric, from, to, minfo.Aggregation)
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}
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