prometheus/storage/metric/tiered/tiered.go
Julius Volz 01f652cb4c Separate storage implementation from interfaces.
This was initially motivated by wanting to distribute the rule checker
tool under `tools/rule_checker`. However, this was not possible without
also distributing the LevelDB dynamic libraries because the tool
transitively depended on Levigo:

rule checker -> query layer -> tiered storage layer -> leveldb

This change separates external storage interfaces from the
implementation (tiered storage, leveldb storage, memory storage) by
putting them into separate packages:

- storage/metric: public, implementation-agnostic interfaces
- storage/metric/tiered: tiered storage implementation, including memory
                         and LevelDB storage.

I initially also considered splitting up the implementation into
separate packages for tiered storage, memory storage, and LevelDB
storage, but these are currently so intertwined that it would be another
major project in itself.

The query layers and most other parts of Prometheus now have notion of
the storage implementation anymore and just use whatever implementation
they get passed in via interfaces.

The rule_checker is now a static binary :)

Change-Id: I793bbf631a8648ca31790e7e772ecf9c2b92f7a0
2014-04-16 13:30:19 +02:00

743 lines
19 KiB
Go

// Copyright 2013 Prometheus Team
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package tiered
import (
"fmt"
"os"
"sort"
"sync"
"time"
"github.com/golang/glog"
"github.com/prometheus/client_golang/prometheus"
clientmodel "github.com/prometheus/client_golang/model"
"github.com/prometheus/prometheus/stats"
"github.com/prometheus/prometheus/storage/metric"
"github.com/prometheus/prometheus/storage/raw/leveldb"
"github.com/prometheus/prometheus/utility"
)
type chunk metric.Values
// TruncateBefore returns a subslice of the original such that extraneous
// samples in the collection that occur before the provided time are
// dropped. The original slice is not mutated. It works with the assumption
// that consumers of these values could want preceding values if none would
// exist prior to the defined time.
func (c chunk) TruncateBefore(t clientmodel.Timestamp) chunk {
index := sort.Search(len(c), func(i int) bool {
timestamp := c[i].Timestamp
return !timestamp.Before(t)
})
switch index {
case 0:
return c
case len(c):
return c[len(c)-1:]
default:
return c[index-1:]
}
}
type tieredStorageState uint
const (
tieredStorageStarting tieredStorageState = iota
tieredStorageServing
tieredStorageDraining
tieredStorageStopping
)
// Ignore timeseries in queries that are more stale than this limit.
const stalenessLimit = time.Minute * 5
// TieredStorage both persists samples and generates materialized views for
// queries.
type TieredStorage struct {
// mu is purely used for state transitions.
mu sync.RWMutex
// BUG(matt): This introduces a Law of Demeter violation. Ugh.
DiskStorage *LevelDBPersistence
appendToDiskQueue chan clientmodel.Samples
memoryArena *memorySeriesStorage
memoryTTL time.Duration
flushMemoryInterval time.Duration
ViewQueue chan viewJob
draining chan chan<- bool
state tieredStorageState
memorySemaphore chan bool
wmCache *watermarkCache
Indexer MetricIndexer
flushSema chan bool
dtoSampleKeys *dtoSampleKeyList
sampleKeys *sampleKeyList
}
// viewJob encapsulates a request to extract sample values from the datastore.
type viewJob struct {
builder metric.ViewRequestBuilder
output chan metric.View
abort chan bool
err chan error
stats *stats.TimerGroup
}
const (
tieredMemorySemaphores = 5
)
const watermarkCacheLimit = 1024 * 1024
// NewTieredStorage returns a TieredStorage object ready to use.
func NewTieredStorage(
appendToDiskQueueDepth,
viewQueueDepth uint,
flushMemoryInterval time.Duration,
memoryTTL time.Duration,
rootDirectory string,
) (*TieredStorage, error) {
if isDir, _ := utility.IsDir(rootDirectory); !isDir {
if err := os.MkdirAll(rootDirectory, 0755); err != nil {
return nil, fmt.Errorf("could not find or create metrics directory %s: %s", rootDirectory, err)
}
}
diskStorage, err := NewLevelDBPersistence(rootDirectory)
if err != nil {
return nil, err
}
wmCache := &watermarkCache{
C: utility.NewSynchronizedCache(utility.NewLRUCache(watermarkCacheLimit)),
}
memOptions := MemorySeriesOptions{
WatermarkCache: wmCache,
}
s := &TieredStorage{
appendToDiskQueue: make(chan clientmodel.Samples, appendToDiskQueueDepth),
DiskStorage: diskStorage,
draining: make(chan chan<- bool),
flushMemoryInterval: flushMemoryInterval,
memoryArena: NewMemorySeriesStorage(memOptions),
memoryTTL: memoryTTL,
ViewQueue: make(chan viewJob, viewQueueDepth),
memorySemaphore: make(chan bool, tieredMemorySemaphores),
wmCache: wmCache,
flushSema: make(chan bool, 1),
dtoSampleKeys: newDtoSampleKeyList(10),
sampleKeys: newSampleKeyList(10),
}
for i := 0; i < tieredMemorySemaphores; i++ {
s.memorySemaphore <- true
}
return s, nil
}
// AppendSamples enqueues Samples for storage.
func (t *TieredStorage) AppendSamples(samples clientmodel.Samples) (err error) {
t.mu.RLock()
defer t.mu.RUnlock()
if t.state != tieredStorageServing {
return fmt.Errorf("storage is not serving")
}
t.memoryArena.AppendSamples(samples)
storedSamplesCount.IncrementBy(prometheus.NilLabels, float64(len(samples)))
return
}
// Drain stops the storage subsystem, flushing all pending operations.
func (t *TieredStorage) Drain(drained chan<- bool) {
t.mu.Lock()
defer t.mu.Unlock()
t.drain(drained)
}
func (t *TieredStorage) drain(drained chan<- bool) {
if t.state >= tieredStorageDraining {
panic("Illegal State: Supplemental drain requested.")
}
t.state = tieredStorageDraining
glog.Info("Triggering drain...")
t.draining <- (drained)
}
// NewViewRequestBuilder furnishes a ViewRequestBuilder for remarking what types
// of queries to perform.
func (t *TieredStorage) NewViewRequestBuilder() metric.ViewRequestBuilder {
return &viewRequestBuilder{storage: t}
}
// makeView materializes a View according to a ViewRequestBuilder, subject to a
// timeout.
func (t *TieredStorage) makeView(builder metric.ViewRequestBuilder, deadline time.Duration, queryStats *stats.TimerGroup) (metric.View, error) {
t.mu.RLock()
defer t.mu.RUnlock()
if t.state != tieredStorageServing {
return nil, fmt.Errorf("storage is not serving")
}
// The result channel needs a one-element buffer in case we have timed
// out in makeView, but the view rendering still completes afterwards
// and writes to the channel.
result := make(chan metric.View, 1)
// The abort channel needs a one-element buffer in case the view
// rendering has already exited and doesn't consume from the channel
// anymore.
abortChan := make(chan bool, 1)
errChan := make(chan error)
queryStats.GetTimer(stats.ViewQueueTime).Start()
t.ViewQueue <- viewJob{
builder: builder,
output: result,
abort: abortChan,
err: errChan,
stats: queryStats,
}
select {
case view := <-result:
return view, nil
case err := <-errChan:
return nil, err
case <-time.After(deadline):
abortChan <- true
return nil, fmt.Errorf("fetching query data timed out after %s", deadline)
}
}
// Serve starts serving requests.
func (t *TieredStorage) Serve(started chan<- bool) {
t.mu.Lock()
if t.state != tieredStorageStarting {
panic("Illegal State: Attempted to restart TieredStorage.")
}
t.state = tieredStorageServing
t.mu.Unlock()
flushMemoryTicker := time.NewTicker(t.flushMemoryInterval)
defer flushMemoryTicker.Stop()
queueReportTicker := time.NewTicker(time.Second)
defer queueReportTicker.Stop()
go func() {
for _ = range queueReportTicker.C {
t.reportQueues()
}
}()
started <- true
for {
select {
case <-flushMemoryTicker.C:
select {
case t.flushSema <- true:
go func() {
t.flushMemory(t.memoryTTL)
<-t.flushSema
}()
default:
glog.Warning("Backlogging on flush...")
}
case viewRequest := <-t.ViewQueue:
<-t.memorySemaphore
viewRequest.stats.GetTimer(stats.ViewQueueTime).Stop()
go t.renderView(viewRequest)
case drainingDone := <-t.draining:
t.Flush()
drainingDone <- true
return
}
}
}
func (t *TieredStorage) reportQueues() {
queueSizes.Set(map[string]string{"queue": "append_to_disk", "facet": "occupancy"}, float64(len(t.appendToDiskQueue)))
queueSizes.Set(map[string]string{"queue": "append_to_disk", "facet": "capacity"}, float64(cap(t.appendToDiskQueue)))
queueSizes.Set(map[string]string{"queue": "view_generation", "facet": "occupancy"}, float64(len(t.ViewQueue)))
queueSizes.Set(map[string]string{"queue": "view_generation", "facet": "capacity"}, float64(cap(t.ViewQueue)))
}
// Flush flushes all samples to disk.
func (t *TieredStorage) Flush() {
t.flushSema <- true
t.flushMemory(0)
<-t.flushSema
}
func (t *TieredStorage) flushMemory(ttl time.Duration) {
flushOlderThan := clientmodel.Now().Add(-1 * ttl)
glog.Info("Flushing samples to disk...")
t.memoryArena.Flush(flushOlderThan, t.appendToDiskQueue)
queueLength := len(t.appendToDiskQueue)
if queueLength > 0 {
samples := clientmodel.Samples{}
for i := 0; i < queueLength; i++ {
chunk := <-t.appendToDiskQueue
samples = append(samples, chunk...)
}
glog.Infof("Writing %d samples...", len(samples))
t.DiskStorage.AppendSamples(samples)
}
glog.Info("Done flushing.")
}
// Close stops serving, flushes all pending operations, and frees all resources.
func (t *TieredStorage) Close() {
t.mu.Lock()
defer t.mu.Unlock()
t.close()
}
func (t *TieredStorage) close() {
if t.state == tieredStorageStopping {
panic("Illegal State: Attempted to restop TieredStorage.")
}
drained := make(chan bool)
t.drain(drained)
<-drained
t.memoryArena.Close()
t.DiskStorage.Close()
// BUG(matt): There is a probability that pending items may hang here
// and not get flushed.
close(t.appendToDiskQueue)
close(t.ViewQueue)
t.wmCache.Clear()
t.dtoSampleKeys.Close()
t.sampleKeys.Close()
t.state = tieredStorageStopping
}
func (t *TieredStorage) seriesTooOld(f *clientmodel.Fingerprint, i clientmodel.Timestamp) (bool, error) {
// BUG(julius): Make this configurable by query layer.
i = i.Add(-stalenessLimit)
wm, cacheHit, _ := t.wmCache.Get(f)
if !cacheHit {
if t.memoryArena.HasFingerprint(f) {
samples := t.memoryArena.CloneSamples(f)
if len(samples) > 0 {
newest := samples[len(samples)-1].Timestamp
t.wmCache.Put(f, &watermarks{High: newest})
return newest.Before(i), nil
}
}
highTime, diskHit, err := t.DiskStorage.MetricHighWatermarks.Get(f)
if err != nil {
return false, err
}
if diskHit {
t.wmCache.Put(f, &watermarks{High: highTime})
return highTime.Before(i), nil
}
t.wmCache.Put(f, &watermarks{})
return true, nil
}
return wm.High.Before(i), nil
}
func (t *TieredStorage) renderView(viewJob viewJob) {
// Telemetry.
var err error
begin := time.Now()
defer func() {
t.memorySemaphore <- true
duration := time.Since(begin)
recordOutcome(
duration,
err,
map[string]string{operation: renderView, result: success},
map[string]string{operation: renderView, result: failure},
)
}()
view := newView()
var iterator leveldb.Iterator
diskPresent := true
firstBlock, _ := t.sampleKeys.Get()
defer t.sampleKeys.Give(firstBlock)
lastBlock, _ := t.sampleKeys.Get()
defer t.sampleKeys.Give(lastBlock)
sampleKeyDto, _ := t.dtoSampleKeys.Get()
defer t.dtoSampleKeys.Give(sampleKeyDto)
defer func() {
// Give back all ops not yet popped.
for viewJob.builder.HasOp() {
giveBackOp(viewJob.builder.PopOp())
}
}()
extractionTimer := viewJob.stats.GetTimer(stats.ViewDataExtractionTime).Start()
for viewJob.builder.HasOp() {
op := viewJob.builder.PopOp()
defer giveBackOp(op)
fp := op.Fingerprint()
old, err := t.seriesTooOld(fp, op.CurrentTime())
if err != nil {
glog.Errorf("Error getting watermark from cache for %s: %s", fp, err)
continue
}
if old {
continue
}
memValues := t.memoryArena.CloneSamples(fp)
for !op.Consumed() {
// Abort the view rendering if the caller (makeView) has timed out.
if len(viewJob.abort) > 0 {
return
}
// Load data value chunk(s) around the current time.
targetTime := op.CurrentTime()
currentChunk := chunk{}
// If we aimed before the oldest value in memory, load more data from disk.
if (len(memValues) == 0 || memValues.FirstTimeAfter(targetTime)) && diskPresent {
if iterator == nil {
// Get a single iterator that will be used for all data extraction
// below.
iterator, _ = t.DiskStorage.MetricSamples.NewIterator(true)
defer iterator.Close()
if diskPresent = iterator.SeekToLast(); diskPresent {
if err := iterator.Key(sampleKeyDto); err != nil {
panic(err)
}
lastBlock.Load(sampleKeyDto)
if !iterator.SeekToFirst() {
diskPresent = false
} else {
if err := iterator.Key(sampleKeyDto); err != nil {
panic(err)
}
firstBlock.Load(sampleKeyDto)
}
}
}
if diskPresent {
diskTimer := viewJob.stats.GetTimer(stats.ViewDiskExtractionTime).Start()
diskValues, expired := t.loadChunkAroundTime(
iterator,
fp,
targetTime,
firstBlock,
lastBlock,
)
if expired {
diskPresent = false
}
diskTimer.Stop()
// If we aimed past the newest value on disk,
// combine it with the next value from memory.
if len(diskValues) == 0 {
currentChunk = chunk(memValues)
} else {
if len(memValues) > 0 && diskValues.LastTimeBefore(targetTime) {
latestDiskValue := diskValues[len(diskValues)-1:]
currentChunk = append(chunk(latestDiskValue), chunk(memValues)...)
} else {
currentChunk = chunk(diskValues)
}
}
} else {
currentChunk = chunk(memValues)
}
} else {
currentChunk = chunk(memValues)
}
// There's no data at all for this fingerprint, so stop processing.
if len(currentChunk) == 0 {
break
}
currentChunk = currentChunk.TruncateBefore(targetTime)
lastChunkTime := currentChunk[len(currentChunk)-1].Timestamp
if lastChunkTime.After(targetTime) {
targetTime = lastChunkTime
}
if op.CurrentTime().After(targetTime) {
break
}
// Extract all needed data from the current chunk and append the
// extracted samples to the materialized view.
for !op.Consumed() && !op.CurrentTime().After(targetTime) {
view.appendSamples(fp, op.ExtractSamples(metric.Values(currentChunk)))
}
}
}
extractionTimer.Stop()
viewJob.output <- view
return
}
func (t *TieredStorage) loadChunkAroundTime(
iterator leveldb.Iterator,
fingerprint *clientmodel.Fingerprint,
ts clientmodel.Timestamp,
firstBlock,
lastBlock *SampleKey,
) (chunk metric.Values, expired bool) {
if fingerprint.Less(firstBlock.Fingerprint) {
return nil, false
}
if lastBlock.Fingerprint.Less(fingerprint) {
return nil, true
}
seekingKey, _ := t.sampleKeys.Get()
defer t.sampleKeys.Give(seekingKey)
seekingKey.Fingerprint = fingerprint
if fingerprint.Equal(firstBlock.Fingerprint) && ts.Before(firstBlock.FirstTimestamp) {
seekingKey.FirstTimestamp = firstBlock.FirstTimestamp
} else if fingerprint.Equal(lastBlock.Fingerprint) && ts.After(lastBlock.FirstTimestamp) {
seekingKey.FirstTimestamp = lastBlock.FirstTimestamp
} else {
seekingKey.FirstTimestamp = ts
}
dto, _ := t.dtoSampleKeys.Get()
defer t.dtoSampleKeys.Give(dto)
seekingKey.Dump(dto)
if !iterator.Seek(dto) {
return chunk, true
}
var foundValues metric.Values
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if seekingKey.Fingerprint.Equal(fingerprint) {
// Figure out if we need to rewind by one block.
// Imagine the following supertime blocks with time ranges:
//
// Block 1: ft 1000 - lt 1009 <data>
// Block 1: ft 1010 - lt 1019 <data>
//
// If we are aiming to find time 1005, we would first seek to the block with
// supertime 1010, then need to rewind by one block by virtue of LevelDB
// iterator seek behavior.
//
// Only do the rewind if there is another chunk before this one.
if !seekingKey.MayContain(ts) {
postValues := unmarshalValues(iterator.RawValue(), nil)
if !seekingKey.Equal(firstBlock) {
if !iterator.Previous() {
panic("This should never return false.")
}
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if !seekingKey.Fingerprint.Equal(fingerprint) {
return postValues, false
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
foundValues = append(foundValues, postValues...)
return foundValues, false
}
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
return foundValues, false
}
if fingerprint.Less(seekingKey.Fingerprint) {
if !seekingKey.Equal(firstBlock) {
if !iterator.Previous() {
panic("This should never return false.")
}
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if !seekingKey.Fingerprint.Equal(fingerprint) {
return nil, false
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
return foundValues, false
}
}
panic("illegal state: violated sort invariant")
}
// GetAllValuesForLabel gets all label values that are associated with the
// provided label name.
func (t *TieredStorage) GetAllValuesForLabel(labelName clientmodel.LabelName) (clientmodel.LabelValues, error) {
t.mu.RLock()
defer t.mu.RUnlock()
if t.state != tieredStorageServing {
panic("Illegal State: Attempted to query non-running TieredStorage.")
}
diskValues, err := t.DiskStorage.GetAllValuesForLabel(labelName)
if err != nil {
return nil, err
}
memoryValues, err := t.memoryArena.GetAllValuesForLabel(labelName)
if err != nil {
return nil, err
}
valueSet := map[clientmodel.LabelValue]bool{}
values := clientmodel.LabelValues{}
for _, value := range append(diskValues, memoryValues...) {
if !valueSet[value] {
values = append(values, value)
valueSet[value] = true
}
}
return values, nil
}
// GetFingerprintsForLabelMatchers gets all of the metric fingerprints that are
// associated with the provided label matchers.
func (t *TieredStorage) GetFingerprintsForLabelMatchers(matchers metric.LabelMatchers) (clientmodel.Fingerprints, error) {
t.mu.RLock()
defer t.mu.RUnlock()
if t.state != tieredStorageServing {
panic("Illegal State: Attempted to query non-running TieredStorage.")
}
memFingerprints, err := t.memoryArena.GetFingerprintsForLabelMatchers(matchers)
if err != nil {
return nil, err
}
diskFingerprints, err := t.DiskStorage.GetFingerprintsForLabelMatchers(matchers)
if err != nil {
return nil, err
}
fingerprintSet := map[clientmodel.Fingerprint]bool{}
for _, fingerprint := range append(memFingerprints, diskFingerprints...) {
fingerprintSet[*fingerprint] = true
}
fingerprints := clientmodel.Fingerprints{}
for fingerprint := range fingerprintSet {
fpCopy := fingerprint
fingerprints = append(fingerprints, &fpCopy)
}
return fingerprints, nil
}
// Get all of the label values that are associated with a given label name.
func (t *TieredStorage) GetLabelValuesForLabelName(clientmodel.LabelName) (clientmodel.LabelValues, error) {
// TODO(julius): Implement this or decide what to do with this
// Persistence interface method. It's currently unused on the
// TieredStorage, but used on the LevelDBPersistence and the
// memorySeriesStorage.
panic("not implemented")
}
// GetMetricForFingerprint gets the metric associated with the provided
// fingerprint.
func (t *TieredStorage) GetMetricForFingerprint(f *clientmodel.Fingerprint) (clientmodel.Metric, error) {
t.mu.RLock()
defer t.mu.RUnlock()
if t.state != tieredStorageServing {
panic("Illegal State: Attempted to query non-running TieredStorage.")
}
m, err := t.memoryArena.GetMetricForFingerprint(f)
if err != nil {
return nil, err
}
if m == nil {
m, err = t.DiskStorage.GetMetricForFingerprint(f)
t.memoryArena.CreateEmptySeries(m)
}
return m, err
}