mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 06:04:05 -08:00
c954cd9d1d
This creates a new `model` directory and moves all data-model related packages over there: exemplar labels relabel rulefmt textparse timestamp value All the others are more or less utilities and have been moved to `util`: gate logging modetimevfs pool runtime Signed-off-by: beorn7 <beorn@grafana.com>
1306 lines
42 KiB
Go
1306 lines
42 KiB
Go
// Copyright 2013 The Prometheus Authors
|
|
// 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 remote
|
|
|
|
import (
|
|
"context"
|
|
"math"
|
|
"strconv"
|
|
"sync"
|
|
"time"
|
|
|
|
"github.com/go-kit/log"
|
|
"github.com/go-kit/log/level"
|
|
"github.com/gogo/protobuf/proto"
|
|
"github.com/golang/snappy"
|
|
"github.com/opentracing/opentracing-go"
|
|
"github.com/opentracing/opentracing-go/ext"
|
|
"github.com/prometheus/client_golang/prometheus"
|
|
"github.com/prometheus/common/model"
|
|
"go.uber.org/atomic"
|
|
|
|
"github.com/prometheus/prometheus/config"
|
|
"github.com/prometheus/prometheus/model/labels"
|
|
"github.com/prometheus/prometheus/model/relabel"
|
|
"github.com/prometheus/prometheus/prompb"
|
|
"github.com/prometheus/prometheus/scrape"
|
|
"github.com/prometheus/prometheus/tsdb/chunks"
|
|
"github.com/prometheus/prometheus/tsdb/record"
|
|
"github.com/prometheus/prometheus/tsdb/wal"
|
|
)
|
|
|
|
const (
|
|
// We track samples in/out and how long pushes take using an Exponentially
|
|
// Weighted Moving Average.
|
|
ewmaWeight = 0.2
|
|
shardUpdateDuration = 10 * time.Second
|
|
|
|
// Allow 30% too many shards before scaling down.
|
|
shardToleranceFraction = 0.3
|
|
)
|
|
|
|
type queueManagerMetrics struct {
|
|
reg prometheus.Registerer
|
|
|
|
samplesTotal prometheus.Counter
|
|
exemplarsTotal prometheus.Counter
|
|
metadataTotal prometheus.Counter
|
|
failedSamplesTotal prometheus.Counter
|
|
failedExemplarsTotal prometheus.Counter
|
|
failedMetadataTotal prometheus.Counter
|
|
retriedSamplesTotal prometheus.Counter
|
|
retriedExemplarsTotal prometheus.Counter
|
|
retriedMetadataTotal prometheus.Counter
|
|
droppedSamplesTotal prometheus.Counter
|
|
droppedExemplarsTotal prometheus.Counter
|
|
enqueueRetriesTotal prometheus.Counter
|
|
sentBatchDuration prometheus.Histogram
|
|
highestSentTimestamp *maxTimestamp
|
|
pendingSamples prometheus.Gauge
|
|
pendingExemplars prometheus.Gauge
|
|
shardCapacity prometheus.Gauge
|
|
numShards prometheus.Gauge
|
|
maxNumShards prometheus.Gauge
|
|
minNumShards prometheus.Gauge
|
|
desiredNumShards prometheus.Gauge
|
|
sentBytesTotal prometheus.Counter
|
|
metadataBytesTotal prometheus.Counter
|
|
maxSamplesPerSend prometheus.Gauge
|
|
}
|
|
|
|
func newQueueManagerMetrics(r prometheus.Registerer, rn, e string) *queueManagerMetrics {
|
|
m := &queueManagerMetrics{
|
|
reg: r,
|
|
}
|
|
constLabels := prometheus.Labels{
|
|
remoteName: rn,
|
|
endpoint: e,
|
|
}
|
|
|
|
m.samplesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "samples_total",
|
|
Help: "Total number of samples sent to remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.exemplarsTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "exemplars_total",
|
|
Help: "Total number of exemplars sent to remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.metadataTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "metadata_total",
|
|
Help: "Total number of metadata entries sent to remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.failedSamplesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "samples_failed_total",
|
|
Help: "Total number of samples which failed on send to remote storage, non-recoverable errors.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.failedExemplarsTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "exemplars_failed_total",
|
|
Help: "Total number of exemplars which failed on send to remote storage, non-recoverable errors.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.failedMetadataTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "metadata_failed_total",
|
|
Help: "Total number of metadata entries which failed on send to remote storage, non-recoverable errors.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.retriedSamplesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "samples_retried_total",
|
|
Help: "Total number of samples which failed on send to remote storage but were retried because the send error was recoverable.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.retriedExemplarsTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "exemplars_retried_total",
|
|
Help: "Total number of exemplars which failed on send to remote storage but were retried because the send error was recoverable.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.retriedMetadataTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "metadata_retried_total",
|
|
Help: "Total number of metadata entries which failed on send to remote storage but were retried because the send error was recoverable.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.droppedSamplesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "samples_dropped_total",
|
|
Help: "Total number of samples which were dropped after being read from the WAL before being sent via remote write, either via relabelling or unintentionally because of an unknown reference ID.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.droppedExemplarsTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "exemplars_dropped_total",
|
|
Help: "Total number of exemplars which were dropped after being read from the WAL before being sent via remote write, either via relabelling or unintentionally because of an unknown reference ID.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.enqueueRetriesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "enqueue_retries_total",
|
|
Help: "Total number of times enqueue has failed because a shards queue was full.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.sentBatchDuration = prometheus.NewHistogram(prometheus.HistogramOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "sent_batch_duration_seconds",
|
|
Help: "Duration of send calls to the remote storage.",
|
|
Buckets: append(prometheus.DefBuckets, 25, 60, 120, 300),
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.highestSentTimestamp = &maxTimestamp{
|
|
Gauge: prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "queue_highest_sent_timestamp_seconds",
|
|
Help: "Timestamp from a WAL sample, the highest timestamp successfully sent by this queue, in seconds since epoch.",
|
|
ConstLabels: constLabels,
|
|
}),
|
|
}
|
|
m.pendingSamples = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "samples_pending",
|
|
Help: "The number of samples pending in the queues shards to be sent to the remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.pendingExemplars = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "exemplars_pending",
|
|
Help: "The number of exemplars pending in the queues shards to be sent to the remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.shardCapacity = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "shard_capacity",
|
|
Help: "The capacity of each shard of the queue used for parallel sending to the remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.numShards = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "shards",
|
|
Help: "The number of shards used for parallel sending to the remote storage.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.maxNumShards = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "shards_max",
|
|
Help: "The maximum number of shards that the queue is allowed to run.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.minNumShards = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "shards_min",
|
|
Help: "The minimum number of shards that the queue is allowed to run.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.desiredNumShards = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "shards_desired",
|
|
Help: "The number of shards that the queues shard calculation wants to run based on the rate of samples in vs. samples out.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.sentBytesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "bytes_total",
|
|
Help: "The total number of bytes of data (not metadata) sent by the queue after compression. Note that when exemplars over remote write is enabled the exemplars included in a remote write request count towards this metric.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.metadataBytesTotal = prometheus.NewCounter(prometheus.CounterOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "metadata_bytes_total",
|
|
Help: "The total number of bytes of metadata sent by the queue after compression.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
m.maxSamplesPerSend = prometheus.NewGauge(prometheus.GaugeOpts{
|
|
Namespace: namespace,
|
|
Subsystem: subsystem,
|
|
Name: "max_samples_per_send",
|
|
Help: "The maximum number of samples to be sent, in a single request, to the remote storage. Note that, when sending of exemplars over remote write is enabled, exemplars count towards this limt.",
|
|
ConstLabels: constLabels,
|
|
})
|
|
|
|
return m
|
|
}
|
|
|
|
func (m *queueManagerMetrics) register() {
|
|
if m.reg != nil {
|
|
m.reg.MustRegister(
|
|
m.samplesTotal,
|
|
m.exemplarsTotal,
|
|
m.metadataTotal,
|
|
m.failedSamplesTotal,
|
|
m.failedExemplarsTotal,
|
|
m.failedMetadataTotal,
|
|
m.retriedSamplesTotal,
|
|
m.retriedExemplarsTotal,
|
|
m.retriedMetadataTotal,
|
|
m.droppedSamplesTotal,
|
|
m.droppedExemplarsTotal,
|
|
m.enqueueRetriesTotal,
|
|
m.sentBatchDuration,
|
|
m.highestSentTimestamp,
|
|
m.pendingSamples,
|
|
m.pendingExemplars,
|
|
m.shardCapacity,
|
|
m.numShards,
|
|
m.maxNumShards,
|
|
m.minNumShards,
|
|
m.desiredNumShards,
|
|
m.sentBytesTotal,
|
|
m.metadataBytesTotal,
|
|
m.maxSamplesPerSend,
|
|
)
|
|
}
|
|
}
|
|
|
|
func (m *queueManagerMetrics) unregister() {
|
|
if m.reg != nil {
|
|
m.reg.Unregister(m.samplesTotal)
|
|
m.reg.Unregister(m.exemplarsTotal)
|
|
m.reg.Unregister(m.metadataTotal)
|
|
m.reg.Unregister(m.failedSamplesTotal)
|
|
m.reg.Unregister(m.failedExemplarsTotal)
|
|
m.reg.Unregister(m.failedMetadataTotal)
|
|
m.reg.Unregister(m.retriedSamplesTotal)
|
|
m.reg.Unregister(m.retriedExemplarsTotal)
|
|
m.reg.Unregister(m.retriedMetadataTotal)
|
|
m.reg.Unregister(m.droppedSamplesTotal)
|
|
m.reg.Unregister(m.droppedExemplarsTotal)
|
|
m.reg.Unregister(m.enqueueRetriesTotal)
|
|
m.reg.Unregister(m.sentBatchDuration)
|
|
m.reg.Unregister(m.highestSentTimestamp)
|
|
m.reg.Unregister(m.pendingSamples)
|
|
m.reg.Unregister(m.pendingExemplars)
|
|
m.reg.Unregister(m.shardCapacity)
|
|
m.reg.Unregister(m.numShards)
|
|
m.reg.Unregister(m.maxNumShards)
|
|
m.reg.Unregister(m.minNumShards)
|
|
m.reg.Unregister(m.desiredNumShards)
|
|
m.reg.Unregister(m.sentBytesTotal)
|
|
m.reg.Unregister(m.metadataBytesTotal)
|
|
m.reg.Unregister(m.maxSamplesPerSend)
|
|
}
|
|
}
|
|
|
|
// WriteClient defines an interface for sending a batch of samples to an
|
|
// external timeseries database.
|
|
type WriteClient interface {
|
|
// Store stores the given samples in the remote storage.
|
|
Store(context.Context, []byte) error
|
|
// Name uniquely identifies the remote storage.
|
|
Name() string
|
|
// Endpoint is the remote read or write endpoint for the storage client.
|
|
Endpoint() string
|
|
}
|
|
|
|
// QueueManager manages a queue of samples to be sent to the Storage
|
|
// indicated by the provided WriteClient. Implements writeTo interface
|
|
// used by WAL Watcher.
|
|
type QueueManager struct {
|
|
lastSendTimestamp atomic.Int64
|
|
|
|
logger log.Logger
|
|
flushDeadline time.Duration
|
|
cfg config.QueueConfig
|
|
mcfg config.MetadataConfig
|
|
externalLabels labels.Labels
|
|
relabelConfigs []*relabel.Config
|
|
sendExemplars bool
|
|
watcher *wal.Watcher
|
|
metadataWatcher *MetadataWatcher
|
|
|
|
clientMtx sync.RWMutex
|
|
storeClient WriteClient
|
|
|
|
seriesMtx sync.Mutex // Covers seriesLabels and droppedSeries.
|
|
seriesLabels map[chunks.HeadSeriesRef]labels.Labels
|
|
droppedSeries map[chunks.HeadSeriesRef]struct{}
|
|
|
|
seriesSegmentMtx sync.Mutex // Covers seriesSegmentIndexes - if you also lock seriesMtx, take seriesMtx first.
|
|
seriesSegmentIndexes map[chunks.HeadSeriesRef]int
|
|
|
|
shards *shards
|
|
numShards int
|
|
reshardChan chan int
|
|
quit chan struct{}
|
|
wg sync.WaitGroup
|
|
|
|
dataIn, dataDropped, dataOut, dataOutDuration *ewmaRate
|
|
|
|
metrics *queueManagerMetrics
|
|
interner *pool
|
|
highestRecvTimestamp *maxTimestamp
|
|
}
|
|
|
|
// NewQueueManager builds a new QueueManager.
|
|
func NewQueueManager(
|
|
metrics *queueManagerMetrics,
|
|
watcherMetrics *wal.WatcherMetrics,
|
|
readerMetrics *wal.LiveReaderMetrics,
|
|
logger log.Logger,
|
|
walDir string,
|
|
samplesIn *ewmaRate,
|
|
cfg config.QueueConfig,
|
|
mCfg config.MetadataConfig,
|
|
externalLabels labels.Labels,
|
|
relabelConfigs []*relabel.Config,
|
|
client WriteClient,
|
|
flushDeadline time.Duration,
|
|
interner *pool,
|
|
highestRecvTimestamp *maxTimestamp,
|
|
sm ReadyScrapeManager,
|
|
enableExemplarRemoteWrite bool,
|
|
) *QueueManager {
|
|
if logger == nil {
|
|
logger = log.NewNopLogger()
|
|
}
|
|
|
|
logger = log.With(logger, remoteName, client.Name(), endpoint, client.Endpoint())
|
|
t := &QueueManager{
|
|
logger: logger,
|
|
flushDeadline: flushDeadline,
|
|
cfg: cfg,
|
|
mcfg: mCfg,
|
|
externalLabels: externalLabels,
|
|
relabelConfigs: relabelConfigs,
|
|
storeClient: client,
|
|
sendExemplars: enableExemplarRemoteWrite,
|
|
|
|
seriesLabels: make(map[chunks.HeadSeriesRef]labels.Labels),
|
|
seriesSegmentIndexes: make(map[chunks.HeadSeriesRef]int),
|
|
droppedSeries: make(map[chunks.HeadSeriesRef]struct{}),
|
|
|
|
numShards: cfg.MinShards,
|
|
reshardChan: make(chan int),
|
|
quit: make(chan struct{}),
|
|
|
|
dataIn: samplesIn,
|
|
dataDropped: newEWMARate(ewmaWeight, shardUpdateDuration),
|
|
dataOut: newEWMARate(ewmaWeight, shardUpdateDuration),
|
|
dataOutDuration: newEWMARate(ewmaWeight, shardUpdateDuration),
|
|
|
|
metrics: metrics,
|
|
interner: interner,
|
|
highestRecvTimestamp: highestRecvTimestamp,
|
|
}
|
|
|
|
t.watcher = wal.NewWatcher(watcherMetrics, readerMetrics, logger, client.Name(), t, walDir, enableExemplarRemoteWrite)
|
|
if t.mcfg.Send {
|
|
t.metadataWatcher = NewMetadataWatcher(logger, sm, client.Name(), t, t.mcfg.SendInterval, flushDeadline)
|
|
}
|
|
t.shards = t.newShards()
|
|
|
|
return t
|
|
}
|
|
|
|
// AppendMetadata sends metadata the remote storage. Metadata is sent in batches, but is not parallelized.
|
|
func (t *QueueManager) AppendMetadata(ctx context.Context, metadata []scrape.MetricMetadata) {
|
|
mm := make([]prompb.MetricMetadata, 0, len(metadata))
|
|
for _, entry := range metadata {
|
|
mm = append(mm, prompb.MetricMetadata{
|
|
MetricFamilyName: entry.Metric,
|
|
Help: entry.Help,
|
|
Type: metricTypeToMetricTypeProto(entry.Type),
|
|
Unit: entry.Unit,
|
|
})
|
|
}
|
|
|
|
pBuf := proto.NewBuffer(nil)
|
|
numSends := int(math.Ceil(float64(len(metadata)) / float64(t.mcfg.MaxSamplesPerSend)))
|
|
for i := 0; i < numSends; i++ {
|
|
last := (i + 1) * t.mcfg.MaxSamplesPerSend
|
|
if last > len(metadata) {
|
|
last = len(metadata)
|
|
}
|
|
err := t.sendMetadataWithBackoff(ctx, mm[i*t.mcfg.MaxSamplesPerSend:last], pBuf)
|
|
if err != nil {
|
|
t.metrics.failedMetadataTotal.Add(float64(last - (i * t.mcfg.MaxSamplesPerSend)))
|
|
level.Error(t.logger).Log("msg", "non-recoverable error while sending metadata", "count", last-(i*t.mcfg.MaxSamplesPerSend), "err", err)
|
|
}
|
|
}
|
|
}
|
|
|
|
func (t *QueueManager) sendMetadataWithBackoff(ctx context.Context, metadata []prompb.MetricMetadata, pBuf *proto.Buffer) error {
|
|
// Build the WriteRequest with no samples.
|
|
req, _, err := buildWriteRequest(nil, metadata, pBuf, nil)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
metadataCount := len(metadata)
|
|
|
|
attemptStore := func(try int) error {
|
|
span, ctx := opentracing.StartSpanFromContext(ctx, "Remote Metadata Send Batch")
|
|
defer span.Finish()
|
|
|
|
span.SetTag("metadata", metadataCount)
|
|
span.SetTag("try", try)
|
|
span.SetTag("remote_name", t.storeClient.Name())
|
|
span.SetTag("remote_url", t.storeClient.Endpoint())
|
|
|
|
begin := time.Now()
|
|
err := t.storeClient.Store(ctx, req)
|
|
t.metrics.sentBatchDuration.Observe(time.Since(begin).Seconds())
|
|
|
|
if err != nil {
|
|
span.LogKV("error", err)
|
|
ext.Error.Set(span, true)
|
|
return err
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
retry := func() {
|
|
t.metrics.retriedMetadataTotal.Add(float64(len(metadata)))
|
|
}
|
|
err = sendWriteRequestWithBackoff(ctx, t.cfg, t.logger, attemptStore, retry)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
t.metrics.metadataTotal.Add(float64(len(metadata)))
|
|
t.metrics.metadataBytesTotal.Add(float64(len(req)))
|
|
return nil
|
|
}
|
|
|
|
// Append queues a sample to be sent to the remote storage. Blocks until all samples are
|
|
// enqueued on their shards or a shutdown signal is received.
|
|
func (t *QueueManager) Append(samples []record.RefSample) bool {
|
|
var appendSample prompb.Sample
|
|
outer:
|
|
for _, s := range samples {
|
|
t.seriesMtx.Lock()
|
|
lbls, ok := t.seriesLabels[s.Ref]
|
|
if !ok {
|
|
t.metrics.droppedSamplesTotal.Inc()
|
|
t.dataDropped.incr(1)
|
|
if _, ok := t.droppedSeries[s.Ref]; !ok {
|
|
level.Info(t.logger).Log("msg", "Dropped sample for series that was not explicitly dropped via relabelling", "ref", s.Ref)
|
|
}
|
|
t.seriesMtx.Unlock()
|
|
continue
|
|
}
|
|
t.seriesMtx.Unlock()
|
|
// This will only loop if the queues are being resharded.
|
|
backoff := t.cfg.MinBackoff
|
|
for {
|
|
select {
|
|
case <-t.quit:
|
|
return false
|
|
default:
|
|
}
|
|
appendSample.Value = s.V
|
|
appendSample.Timestamp = s.T
|
|
if t.shards.enqueue(s.Ref, writeSample{lbls, appendSample}) {
|
|
continue outer
|
|
}
|
|
|
|
t.metrics.enqueueRetriesTotal.Inc()
|
|
time.Sleep(time.Duration(backoff))
|
|
backoff = backoff * 2
|
|
if backoff > t.cfg.MaxBackoff {
|
|
backoff = t.cfg.MaxBackoff
|
|
}
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func (t *QueueManager) AppendExemplars(exemplars []record.RefExemplar) bool {
|
|
if !t.sendExemplars {
|
|
return true
|
|
}
|
|
|
|
var appendExemplar prompb.Exemplar
|
|
outer:
|
|
for _, e := range exemplars {
|
|
t.seriesMtx.Lock()
|
|
lbls, ok := t.seriesLabels[e.Ref]
|
|
if !ok {
|
|
t.metrics.droppedExemplarsTotal.Inc()
|
|
// Track dropped exemplars in the same EWMA for sharding calc.
|
|
t.dataDropped.incr(1)
|
|
if _, ok := t.droppedSeries[e.Ref]; !ok {
|
|
level.Info(t.logger).Log("msg", "Dropped exemplar for series that was not explicitly dropped via relabelling", "ref", e.Ref)
|
|
}
|
|
t.seriesMtx.Unlock()
|
|
continue
|
|
}
|
|
t.seriesMtx.Unlock()
|
|
// This will only loop if the queues are being resharded.
|
|
backoff := t.cfg.MinBackoff
|
|
for {
|
|
select {
|
|
case <-t.quit:
|
|
return false
|
|
default:
|
|
}
|
|
appendExemplar.Labels = labelsToLabelsProto(e.Labels, nil)
|
|
appendExemplar.Timestamp = e.T
|
|
appendExemplar.Value = e.V
|
|
if t.shards.enqueue(e.Ref, writeExemplar{lbls, appendExemplar}) {
|
|
continue outer
|
|
}
|
|
|
|
t.metrics.enqueueRetriesTotal.Inc()
|
|
time.Sleep(time.Duration(backoff))
|
|
backoff = backoff * 2
|
|
if backoff > t.cfg.MaxBackoff {
|
|
backoff = t.cfg.MaxBackoff
|
|
}
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
// Start the queue manager sending samples to the remote storage.
|
|
// Does not block.
|
|
func (t *QueueManager) Start() {
|
|
// Register and initialise some metrics.
|
|
t.metrics.register()
|
|
t.metrics.shardCapacity.Set(float64(t.cfg.Capacity))
|
|
t.metrics.maxNumShards.Set(float64(t.cfg.MaxShards))
|
|
t.metrics.minNumShards.Set(float64(t.cfg.MinShards))
|
|
t.metrics.desiredNumShards.Set(float64(t.cfg.MinShards))
|
|
t.metrics.maxSamplesPerSend.Set(float64(t.cfg.MaxSamplesPerSend))
|
|
|
|
t.shards.start(t.numShards)
|
|
t.watcher.Start()
|
|
if t.mcfg.Send {
|
|
t.metadataWatcher.Start()
|
|
}
|
|
|
|
t.wg.Add(2)
|
|
go t.updateShardsLoop()
|
|
go t.reshardLoop()
|
|
}
|
|
|
|
// Stop stops sending samples to the remote storage and waits for pending
|
|
// sends to complete.
|
|
func (t *QueueManager) Stop() {
|
|
level.Info(t.logger).Log("msg", "Stopping remote storage...")
|
|
defer level.Info(t.logger).Log("msg", "Remote storage stopped.")
|
|
|
|
close(t.quit)
|
|
t.wg.Wait()
|
|
// Wait for all QueueManager routines to end before stopping shards, metadata watcher, and WAL watcher. This
|
|
// is to ensure we don't end up executing a reshard and shards.stop() at the same time, which
|
|
// causes a closed channel panic.
|
|
t.shards.stop()
|
|
t.watcher.Stop()
|
|
if t.mcfg.Send {
|
|
t.metadataWatcher.Stop()
|
|
}
|
|
|
|
// On shutdown, release the strings in the labels from the intern pool.
|
|
t.seriesMtx.Lock()
|
|
for _, labels := range t.seriesLabels {
|
|
t.releaseLabels(labels)
|
|
}
|
|
t.seriesMtx.Unlock()
|
|
t.metrics.unregister()
|
|
}
|
|
|
|
// StoreSeries keeps track of which series we know about for lookups when sending samples to remote.
|
|
func (t *QueueManager) StoreSeries(series []record.RefSeries, index int) {
|
|
t.seriesMtx.Lock()
|
|
defer t.seriesMtx.Unlock()
|
|
t.seriesSegmentMtx.Lock()
|
|
defer t.seriesSegmentMtx.Unlock()
|
|
for _, s := range series {
|
|
// Just make sure all the Refs of Series will insert into seriesSegmentIndexes map for tracking.
|
|
t.seriesSegmentIndexes[s.Ref] = index
|
|
|
|
ls := processExternalLabels(s.Labels, t.externalLabels)
|
|
lbls := relabel.Process(ls, t.relabelConfigs...)
|
|
if len(lbls) == 0 {
|
|
t.droppedSeries[s.Ref] = struct{}{}
|
|
continue
|
|
}
|
|
t.internLabels(lbls)
|
|
|
|
// We should not ever be replacing a series labels in the map, but just
|
|
// in case we do we need to ensure we do not leak the replaced interned
|
|
// strings.
|
|
if orig, ok := t.seriesLabels[s.Ref]; ok {
|
|
t.releaseLabels(orig)
|
|
}
|
|
t.seriesLabels[s.Ref] = lbls
|
|
}
|
|
}
|
|
|
|
// Update the segment number held against the series, so we can trim older ones in SeriesReset.
|
|
func (t *QueueManager) UpdateSeriesSegment(series []record.RefSeries, index int) {
|
|
t.seriesSegmentMtx.Lock()
|
|
defer t.seriesSegmentMtx.Unlock()
|
|
for _, s := range series {
|
|
t.seriesSegmentIndexes[s.Ref] = index
|
|
}
|
|
}
|
|
|
|
// SeriesReset is used when reading a checkpoint. WAL Watcher should have
|
|
// stored series records with the checkpoints index number, so we can now
|
|
// delete any ref ID's lower than that # from the two maps.
|
|
func (t *QueueManager) SeriesReset(index int) {
|
|
t.seriesMtx.Lock()
|
|
defer t.seriesMtx.Unlock()
|
|
t.seriesSegmentMtx.Lock()
|
|
defer t.seriesSegmentMtx.Unlock()
|
|
// Check for series that are in segments older than the checkpoint
|
|
// that were not also present in the checkpoint.
|
|
for k, v := range t.seriesSegmentIndexes {
|
|
if v < index {
|
|
delete(t.seriesSegmentIndexes, k)
|
|
t.releaseLabels(t.seriesLabels[k])
|
|
delete(t.seriesLabels, k)
|
|
delete(t.droppedSeries, k)
|
|
}
|
|
}
|
|
}
|
|
|
|
// SetClient updates the client used by a queue. Used when only client specific
|
|
// fields are updated to avoid restarting the queue.
|
|
func (t *QueueManager) SetClient(c WriteClient) {
|
|
t.clientMtx.Lock()
|
|
t.storeClient = c
|
|
t.clientMtx.Unlock()
|
|
}
|
|
|
|
func (t *QueueManager) client() WriteClient {
|
|
t.clientMtx.RLock()
|
|
defer t.clientMtx.RUnlock()
|
|
return t.storeClient
|
|
}
|
|
|
|
func (t *QueueManager) internLabels(lbls labels.Labels) {
|
|
for i, l := range lbls {
|
|
lbls[i].Name = t.interner.intern(l.Name)
|
|
lbls[i].Value = t.interner.intern(l.Value)
|
|
}
|
|
}
|
|
|
|
func (t *QueueManager) releaseLabels(ls labels.Labels) {
|
|
for _, l := range ls {
|
|
t.interner.release(l.Name)
|
|
t.interner.release(l.Value)
|
|
}
|
|
}
|
|
|
|
// processExternalLabels merges externalLabels into ls. If ls contains
|
|
// a label in externalLabels, the value in ls wins.
|
|
func processExternalLabels(ls, externalLabels labels.Labels) labels.Labels {
|
|
i, j, result := 0, 0, make(labels.Labels, 0, len(ls)+len(externalLabels))
|
|
for i < len(ls) && j < len(externalLabels) {
|
|
if ls[i].Name < externalLabels[j].Name {
|
|
result = append(result, labels.Label{
|
|
Name: ls[i].Name,
|
|
Value: ls[i].Value,
|
|
})
|
|
i++
|
|
} else if ls[i].Name > externalLabels[j].Name {
|
|
result = append(result, externalLabels[j])
|
|
j++
|
|
} else {
|
|
result = append(result, labels.Label{
|
|
Name: ls[i].Name,
|
|
Value: ls[i].Value,
|
|
})
|
|
i++
|
|
j++
|
|
}
|
|
}
|
|
|
|
return append(append(result, ls[i:]...), externalLabels[j:]...)
|
|
}
|
|
|
|
func (t *QueueManager) updateShardsLoop() {
|
|
defer t.wg.Done()
|
|
|
|
ticker := time.NewTicker(shardUpdateDuration)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-ticker.C:
|
|
desiredShards := t.calculateDesiredShards()
|
|
if !t.shouldReshard(desiredShards) {
|
|
continue
|
|
}
|
|
// Resharding can take some time, and we want this loop
|
|
// to stay close to shardUpdateDuration.
|
|
select {
|
|
case t.reshardChan <- desiredShards:
|
|
level.Info(t.logger).Log("msg", "Remote storage resharding", "from", t.numShards, "to", desiredShards)
|
|
t.numShards = desiredShards
|
|
default:
|
|
level.Info(t.logger).Log("msg", "Currently resharding, skipping.")
|
|
}
|
|
case <-t.quit:
|
|
return
|
|
}
|
|
}
|
|
}
|
|
|
|
// shouldReshard returns if resharding should occur
|
|
func (t *QueueManager) shouldReshard(desiredShards int) bool {
|
|
if desiredShards == t.numShards {
|
|
return false
|
|
}
|
|
// We shouldn't reshard if Prometheus hasn't been able to send to the
|
|
// remote endpoint successfully within some period of time.
|
|
minSendTimestamp := time.Now().Add(-2 * time.Duration(t.cfg.BatchSendDeadline)).Unix()
|
|
lsts := t.lastSendTimestamp.Load()
|
|
if lsts < minSendTimestamp {
|
|
level.Warn(t.logger).Log("msg", "Skipping resharding, last successful send was beyond threshold", "lastSendTimestamp", lsts, "minSendTimestamp", minSendTimestamp)
|
|
return false
|
|
}
|
|
return true
|
|
}
|
|
|
|
// calculateDesiredShards returns the number of desired shards, which will be
|
|
// the current QueueManager.numShards if resharding should not occur for reasons
|
|
// outlined in this functions implementation. It is up to the caller to reshard, or not,
|
|
// based on the return value.
|
|
func (t *QueueManager) calculateDesiredShards() int {
|
|
t.dataOut.tick()
|
|
t.dataDropped.tick()
|
|
t.dataOutDuration.tick()
|
|
|
|
// We use the number of incoming samples as a prediction of how much work we
|
|
// will need to do next iteration. We add to this any pending samples
|
|
// (received - send) so we can catch up with any backlog. We use the average
|
|
// outgoing batch latency to work out how many shards we need.
|
|
var (
|
|
dataInRate = t.dataIn.rate()
|
|
dataOutRate = t.dataOut.rate()
|
|
dataKeptRatio = dataOutRate / (t.dataDropped.rate() + dataOutRate)
|
|
dataOutDuration = t.dataOutDuration.rate() / float64(time.Second)
|
|
dataPendingRate = dataInRate*dataKeptRatio - dataOutRate
|
|
highestSent = t.metrics.highestSentTimestamp.Get()
|
|
highestRecv = t.highestRecvTimestamp.Get()
|
|
delay = highestRecv - highestSent
|
|
dataPending = delay * dataInRate * dataKeptRatio
|
|
)
|
|
|
|
if dataOutRate <= 0 {
|
|
return t.numShards
|
|
}
|
|
|
|
// When behind we will try to catch up on a proporation of samples per tick.
|
|
// This works similarly to an integral accumulator in that pending samples
|
|
// is the result of the error integral.
|
|
const integralGain = 0.1 / float64(shardUpdateDuration/time.Second)
|
|
|
|
var (
|
|
timePerSample = dataOutDuration / dataOutRate
|
|
desiredShards = timePerSample * (dataInRate*dataKeptRatio + integralGain*dataPending)
|
|
)
|
|
t.metrics.desiredNumShards.Set(desiredShards)
|
|
level.Debug(t.logger).Log("msg", "QueueManager.calculateDesiredShards",
|
|
"dataInRate", dataInRate,
|
|
"dataOutRate", dataOutRate,
|
|
"dataKeptRatio", dataKeptRatio,
|
|
"dataPendingRate", dataPendingRate,
|
|
"dataPending", dataPending,
|
|
"dataOutDuration", dataOutDuration,
|
|
"timePerSample", timePerSample,
|
|
"desiredShards", desiredShards,
|
|
"highestSent", highestSent,
|
|
"highestRecv", highestRecv,
|
|
)
|
|
|
|
// Changes in the number of shards must be greater than shardToleranceFraction.
|
|
var (
|
|
lowerBound = float64(t.numShards) * (1. - shardToleranceFraction)
|
|
upperBound = float64(t.numShards) * (1. + shardToleranceFraction)
|
|
)
|
|
level.Debug(t.logger).Log("msg", "QueueManager.updateShardsLoop",
|
|
"lowerBound", lowerBound, "desiredShards", desiredShards, "upperBound", upperBound)
|
|
if lowerBound <= desiredShards && desiredShards <= upperBound {
|
|
return t.numShards
|
|
}
|
|
|
|
numShards := int(math.Ceil(desiredShards))
|
|
// Do not downshard if we are more than ten seconds back.
|
|
if numShards < t.numShards && delay > 10.0 {
|
|
level.Debug(t.logger).Log("msg", "Not downsharding due to being too far behind")
|
|
return t.numShards
|
|
}
|
|
|
|
if numShards > t.cfg.MaxShards {
|
|
numShards = t.cfg.MaxShards
|
|
} else if numShards < t.cfg.MinShards {
|
|
numShards = t.cfg.MinShards
|
|
}
|
|
return numShards
|
|
}
|
|
|
|
func (t *QueueManager) reshardLoop() {
|
|
defer t.wg.Done()
|
|
|
|
for {
|
|
select {
|
|
case numShards := <-t.reshardChan:
|
|
// We start the newShards after we have stopped (the therefore completely
|
|
// flushed) the oldShards, to guarantee we only every deliver samples in
|
|
// order.
|
|
t.shards.stop()
|
|
t.shards.start(numShards)
|
|
case <-t.quit:
|
|
return
|
|
}
|
|
}
|
|
}
|
|
|
|
func (t *QueueManager) newShards() *shards {
|
|
s := &shards{
|
|
qm: t,
|
|
done: make(chan struct{}),
|
|
}
|
|
return s
|
|
}
|
|
|
|
type writeSample struct {
|
|
seriesLabels labels.Labels
|
|
sample prompb.Sample
|
|
}
|
|
|
|
type writeExemplar struct {
|
|
seriesLabels labels.Labels
|
|
exemplar prompb.Exemplar
|
|
}
|
|
|
|
type shards struct {
|
|
mtx sync.RWMutex // With the WAL, this is never actually contended.
|
|
|
|
qm *QueueManager
|
|
queues []chan interface{}
|
|
// So we can accurately track how many of each are lost during shard shutdowns.
|
|
enqueuedSamples atomic.Int64
|
|
enqueuedExemplars atomic.Int64
|
|
|
|
// Emulate a wait group with a channel and an atomic int, as you
|
|
// cannot select on a wait group.
|
|
done chan struct{}
|
|
running atomic.Int32
|
|
|
|
// Soft shutdown context will prevent new enqueues and deadlocks.
|
|
softShutdown chan struct{}
|
|
|
|
// Hard shutdown context is used to terminate outgoing HTTP connections
|
|
// after giving them a chance to terminate.
|
|
hardShutdown context.CancelFunc
|
|
samplesDroppedOnHardShutdown atomic.Uint32
|
|
exemplarsDroppedOnHardShutdown atomic.Uint32
|
|
}
|
|
|
|
// start the shards; must be called before any call to enqueue.
|
|
func (s *shards) start(n int) {
|
|
s.mtx.Lock()
|
|
defer s.mtx.Unlock()
|
|
|
|
s.qm.metrics.pendingSamples.Set(0)
|
|
s.qm.metrics.numShards.Set(float64(n))
|
|
|
|
newQueues := make([]chan interface{}, n)
|
|
for i := 0; i < n; i++ {
|
|
newQueues[i] = make(chan interface{}, s.qm.cfg.Capacity)
|
|
}
|
|
|
|
s.queues = newQueues
|
|
|
|
var hardShutdownCtx context.Context
|
|
hardShutdownCtx, s.hardShutdown = context.WithCancel(context.Background())
|
|
s.softShutdown = make(chan struct{})
|
|
s.running.Store(int32(n))
|
|
s.done = make(chan struct{})
|
|
s.samplesDroppedOnHardShutdown.Store(0)
|
|
s.exemplarsDroppedOnHardShutdown.Store(0)
|
|
for i := 0; i < n; i++ {
|
|
go s.runShard(hardShutdownCtx, i, newQueues[i])
|
|
}
|
|
}
|
|
|
|
// stop the shards; subsequent call to enqueue will return false.
|
|
func (s *shards) stop() {
|
|
// Attempt a clean shutdown, but only wait flushDeadline for all the shards
|
|
// to cleanly exit. As we're doing RPCs, enqueue can block indefinitely.
|
|
// We must be able so call stop concurrently, hence we can only take the
|
|
// RLock here.
|
|
s.mtx.RLock()
|
|
close(s.softShutdown)
|
|
s.mtx.RUnlock()
|
|
|
|
// Enqueue should now be unblocked, so we can take the write lock. This
|
|
// also ensures we don't race with writes to the queues, and get a panic:
|
|
// send on closed channel.
|
|
s.mtx.Lock()
|
|
defer s.mtx.Unlock()
|
|
for _, queue := range s.queues {
|
|
close(queue)
|
|
}
|
|
select {
|
|
case <-s.done:
|
|
return
|
|
case <-time.After(s.qm.flushDeadline):
|
|
}
|
|
|
|
// Force an unclean shutdown.
|
|
s.hardShutdown()
|
|
<-s.done
|
|
if dropped := s.samplesDroppedOnHardShutdown.Load(); dropped > 0 {
|
|
level.Error(s.qm.logger).Log("msg", "Failed to flush all samples on shutdown", "count", dropped)
|
|
}
|
|
if dropped := s.exemplarsDroppedOnHardShutdown.Load(); dropped > 0 {
|
|
level.Error(s.qm.logger).Log("msg", "Failed to flush all exemplars on shutdown", "count", dropped)
|
|
}
|
|
}
|
|
|
|
// enqueue data (sample or exemplar). If we are currently in the process of shutting down or resharding,
|
|
// will return false; in this case, you should back off and retry.
|
|
func (s *shards) enqueue(ref chunks.HeadSeriesRef, data interface{}) bool {
|
|
s.mtx.RLock()
|
|
defer s.mtx.RUnlock()
|
|
|
|
select {
|
|
case <-s.softShutdown:
|
|
return false
|
|
default:
|
|
}
|
|
|
|
shard := uint64(ref) % uint64(len(s.queues))
|
|
select {
|
|
case <-s.softShutdown:
|
|
return false
|
|
case s.queues[shard] <- data:
|
|
switch data.(type) {
|
|
case writeSample:
|
|
s.qm.metrics.pendingSamples.Inc()
|
|
s.enqueuedSamples.Inc()
|
|
case writeExemplar:
|
|
s.qm.metrics.pendingExemplars.Inc()
|
|
s.enqueuedExemplars.Inc()
|
|
default:
|
|
level.Warn(s.qm.logger).Log("msg", "Invalid object type in shards enqueue")
|
|
}
|
|
return true
|
|
}
|
|
}
|
|
|
|
func (s *shards) runShard(ctx context.Context, shardID int, queue chan interface{}) {
|
|
defer func() {
|
|
if s.running.Dec() == 0 {
|
|
close(s.done)
|
|
}
|
|
}()
|
|
|
|
shardNum := strconv.Itoa(shardID)
|
|
|
|
// Send batches of at most MaxSamplesPerSend samples to the remote storage.
|
|
// If we have fewer samples than that, flush them out after a deadline anyways.
|
|
var (
|
|
max = s.qm.cfg.MaxSamplesPerSend
|
|
nPending, nPendingSamples, nPendingExemplars = 0, 0, 0
|
|
|
|
pBuf = proto.NewBuffer(nil)
|
|
buf []byte
|
|
)
|
|
if s.qm.sendExemplars {
|
|
max += int(float64(max) * 0.1)
|
|
}
|
|
|
|
pendingData := make([]prompb.TimeSeries, max)
|
|
for i := range pendingData {
|
|
pendingData[i].Samples = []prompb.Sample{{}}
|
|
if s.qm.sendExemplars {
|
|
pendingData[i].Exemplars = []prompb.Exemplar{{}}
|
|
}
|
|
}
|
|
|
|
timer := time.NewTimer(time.Duration(s.qm.cfg.BatchSendDeadline))
|
|
stop := func() {
|
|
if !timer.Stop() {
|
|
select {
|
|
case <-timer.C:
|
|
default:
|
|
}
|
|
}
|
|
}
|
|
defer stop()
|
|
|
|
for {
|
|
select {
|
|
case <-ctx.Done():
|
|
// In this case we drop all samples in the buffer and the queue.
|
|
// Remove them from pending and mark them as failed.
|
|
droppedSamples := nPendingSamples + int(s.enqueuedSamples.Load())
|
|
droppedExemplars := nPendingExemplars + int(s.enqueuedExemplars.Load())
|
|
s.qm.metrics.pendingSamples.Sub(float64(droppedSamples))
|
|
s.qm.metrics.pendingExemplars.Sub(float64(droppedExemplars))
|
|
s.qm.metrics.failedSamplesTotal.Add(float64(droppedSamples))
|
|
s.qm.metrics.failedExemplarsTotal.Add(float64(droppedExemplars))
|
|
s.samplesDroppedOnHardShutdown.Add(uint32(droppedSamples))
|
|
s.exemplarsDroppedOnHardShutdown.Add(uint32(droppedExemplars))
|
|
return
|
|
|
|
case sample, ok := <-queue:
|
|
if !ok {
|
|
if nPendingSamples > 0 || nPendingExemplars > 0 {
|
|
level.Debug(s.qm.logger).Log("msg", "Flushing data to remote storage...", "samples", nPendingSamples, "exemplars", nPendingExemplars)
|
|
s.sendSamples(ctx, pendingData[:nPending], nPendingSamples, nPendingExemplars, pBuf, &buf)
|
|
s.qm.metrics.pendingSamples.Sub(float64(nPendingSamples))
|
|
s.qm.metrics.pendingExemplars.Sub(float64(nPendingExemplars))
|
|
level.Debug(s.qm.logger).Log("msg", "Done flushing.")
|
|
}
|
|
return
|
|
}
|
|
|
|
pendingData[nPending].Samples = pendingData[nPending].Samples[:0]
|
|
if s.qm.sendExemplars {
|
|
pendingData[nPending].Exemplars = pendingData[nPending].Exemplars[:0]
|
|
}
|
|
// Number of pending samples is limited by the fact that sendSamples (via sendSamplesWithBackoff)
|
|
// retries endlessly, so once we reach max samples, if we can never send to the endpoint we'll
|
|
// stop reading from the queue. This makes it safe to reference pendingSamples by index.
|
|
switch d := sample.(type) {
|
|
case writeSample:
|
|
pendingData[nPending].Labels = labelsToLabelsProto(d.seriesLabels, pendingData[nPending].Labels)
|
|
pendingData[nPending].Samples = append(pendingData[nPending].Samples, d.sample)
|
|
nPendingSamples++
|
|
nPending++
|
|
|
|
case writeExemplar:
|
|
pendingData[nPending].Labels = labelsToLabelsProto(d.seriesLabels, pendingData[nPending].Labels)
|
|
pendingData[nPending].Exemplars = append(pendingData[nPending].Exemplars, d.exemplar)
|
|
nPendingExemplars++
|
|
nPending++
|
|
}
|
|
|
|
if nPending >= max {
|
|
s.sendSamples(ctx, pendingData[:nPending], nPendingSamples, nPendingExemplars, pBuf, &buf)
|
|
s.qm.metrics.pendingSamples.Sub(float64(nPendingSamples))
|
|
s.qm.metrics.pendingExemplars.Sub(float64(nPendingExemplars))
|
|
nPendingSamples = 0
|
|
nPendingExemplars = 0
|
|
nPending = 0
|
|
|
|
stop()
|
|
timer.Reset(time.Duration(s.qm.cfg.BatchSendDeadline))
|
|
}
|
|
|
|
case <-timer.C:
|
|
if nPendingSamples > 0 || nPendingExemplars > 0 {
|
|
level.Debug(s.qm.logger).Log("msg", "runShard timer ticked, sending buffered data", "samples", nPendingSamples, "exemplars", nPendingExemplars, "shard", shardNum)
|
|
s.sendSamples(ctx, pendingData[:nPending], nPendingSamples, nPendingExemplars, pBuf, &buf)
|
|
s.qm.metrics.pendingSamples.Sub(float64(nPendingSamples))
|
|
s.qm.metrics.pendingExemplars.Sub(float64(nPendingExemplars))
|
|
nPendingSamples = 0
|
|
nPendingExemplars = 0
|
|
nPending = 0
|
|
}
|
|
timer.Reset(time.Duration(s.qm.cfg.BatchSendDeadline))
|
|
}
|
|
}
|
|
}
|
|
|
|
func (s *shards) sendSamples(ctx context.Context, samples []prompb.TimeSeries, sampleCount, exemplarCount int, pBuf *proto.Buffer, buf *[]byte) {
|
|
begin := time.Now()
|
|
err := s.sendSamplesWithBackoff(ctx, samples, sampleCount, exemplarCount, pBuf, buf)
|
|
if err != nil {
|
|
level.Error(s.qm.logger).Log("msg", "non-recoverable error", "count", sampleCount, "exemplarCount", exemplarCount, "err", err)
|
|
s.qm.metrics.failedSamplesTotal.Add(float64(sampleCount))
|
|
s.qm.metrics.failedExemplarsTotal.Add(float64(exemplarCount))
|
|
}
|
|
|
|
// These counters are used to calculate the dynamic sharding, and as such
|
|
// should be maintained irrespective of success or failure.
|
|
s.qm.dataOut.incr(int64(len(samples)))
|
|
s.qm.dataOutDuration.incr(int64(time.Since(begin)))
|
|
s.qm.lastSendTimestamp.Store(time.Now().Unix())
|
|
}
|
|
|
|
// sendSamples to the remote storage with backoff for recoverable errors.
|
|
func (s *shards) sendSamplesWithBackoff(ctx context.Context, samples []prompb.TimeSeries, sampleCount, exemplarCount int, pBuf *proto.Buffer, buf *[]byte) error {
|
|
// Build the WriteRequest with no metadata.
|
|
req, highest, err := buildWriteRequest(samples, nil, pBuf, *buf)
|
|
if err != nil {
|
|
// Failing to build the write request is non-recoverable, since it will
|
|
// only error if marshaling the proto to bytes fails.
|
|
return err
|
|
}
|
|
|
|
reqSize := len(req)
|
|
*buf = req
|
|
|
|
// An anonymous function allows us to defer the completion of our per-try spans
|
|
// without causing a memory leak, and it has the nice effect of not propagating any
|
|
// parameters for sendSamplesWithBackoff/3.
|
|
attemptStore := func(try int) error {
|
|
span, ctx := opentracing.StartSpanFromContext(ctx, "Remote Send Batch")
|
|
defer span.Finish()
|
|
|
|
span.SetTag("samples", sampleCount)
|
|
if exemplarCount > 0 {
|
|
span.SetTag("exemplars", exemplarCount)
|
|
}
|
|
span.SetTag("request_size", reqSize)
|
|
span.SetTag("try", try)
|
|
span.SetTag("remote_name", s.qm.storeClient.Name())
|
|
span.SetTag("remote_url", s.qm.storeClient.Endpoint())
|
|
|
|
begin := time.Now()
|
|
s.qm.metrics.samplesTotal.Add(float64(sampleCount))
|
|
s.qm.metrics.exemplarsTotal.Add(float64(exemplarCount))
|
|
err := s.qm.client().Store(ctx, *buf)
|
|
s.qm.metrics.sentBatchDuration.Observe(time.Since(begin).Seconds())
|
|
|
|
if err != nil {
|
|
span.LogKV("error", err)
|
|
ext.Error.Set(span, true)
|
|
return err
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
onRetry := func() {
|
|
s.qm.metrics.retriedSamplesTotal.Add(float64(sampleCount))
|
|
s.qm.metrics.retriedExemplarsTotal.Add(float64(exemplarCount))
|
|
}
|
|
|
|
err = sendWriteRequestWithBackoff(ctx, s.qm.cfg, s.qm.logger, attemptStore, onRetry)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
s.qm.metrics.sentBytesTotal.Add(float64(reqSize))
|
|
s.qm.metrics.highestSentTimestamp.Set(float64(highest / 1000))
|
|
return nil
|
|
}
|
|
|
|
func sendWriteRequestWithBackoff(ctx context.Context, cfg config.QueueConfig, l log.Logger, attempt func(int) error, onRetry func()) error {
|
|
backoff := cfg.MinBackoff
|
|
sleepDuration := model.Duration(0)
|
|
try := 0
|
|
|
|
for {
|
|
select {
|
|
case <-ctx.Done():
|
|
return ctx.Err()
|
|
default:
|
|
}
|
|
|
|
err := attempt(try)
|
|
|
|
if err == nil {
|
|
return nil
|
|
}
|
|
|
|
// If the error is unrecoverable, we should not retry.
|
|
backoffErr, ok := err.(RecoverableError)
|
|
if !ok {
|
|
return err
|
|
}
|
|
|
|
sleepDuration = backoff
|
|
if backoffErr.retryAfter > 0 {
|
|
sleepDuration = backoffErr.retryAfter
|
|
level.Info(l).Log("msg", "Retrying after duration specified by Retry-After header", "duration", sleepDuration)
|
|
} else if backoffErr.retryAfter < 0 {
|
|
level.Debug(l).Log("msg", "retry-after cannot be in past, retrying using default backoff mechanism")
|
|
}
|
|
|
|
select {
|
|
case <-ctx.Done():
|
|
case <-time.After(time.Duration(sleepDuration)):
|
|
}
|
|
|
|
// If we make it this far, we've encountered a recoverable error and will retry.
|
|
onRetry()
|
|
level.Warn(l).Log("msg", "Failed to send batch, retrying", "err", err)
|
|
|
|
backoff = sleepDuration * 2
|
|
|
|
if backoff > cfg.MaxBackoff {
|
|
backoff = cfg.MaxBackoff
|
|
}
|
|
|
|
try++
|
|
}
|
|
}
|
|
|
|
func buildWriteRequest(samples []prompb.TimeSeries, metadata []prompb.MetricMetadata, pBuf *proto.Buffer, buf []byte) ([]byte, int64, error) {
|
|
var highest int64
|
|
for _, ts := range samples {
|
|
// At the moment we only ever append a TimeSeries with a single sample or exemplar in it.
|
|
if len(ts.Samples) > 0 && ts.Samples[0].Timestamp > highest {
|
|
highest = ts.Samples[0].Timestamp
|
|
}
|
|
if len(ts.Exemplars) > 0 && ts.Exemplars[0].Timestamp > highest {
|
|
highest = ts.Exemplars[0].Timestamp
|
|
}
|
|
}
|
|
|
|
req := &prompb.WriteRequest{
|
|
Timeseries: samples,
|
|
Metadata: metadata,
|
|
}
|
|
|
|
if pBuf == nil {
|
|
pBuf = proto.NewBuffer(nil) // For convenience in tests. Not efficient.
|
|
} else {
|
|
pBuf.Reset()
|
|
}
|
|
err := pBuf.Marshal(req)
|
|
if err != nil {
|
|
return nil, highest, err
|
|
}
|
|
|
|
// snappy uses len() to see if it needs to allocate a new slice. Make the
|
|
// buffer as long as possible.
|
|
if buf != nil {
|
|
buf = buf[0:cap(buf)]
|
|
}
|
|
compressed := snappy.Encode(buf, pBuf.Bytes())
|
|
return compressed, highest, nil
|
|
}
|