// 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" "fmt" "math" "os" "runtime/pprof" "sort" "strconv" "strings" "sync" "testing" "time" "github.com/go-kit/log" "github.com/gogo/protobuf/proto" "github.com/golang/snappy" "github.com/prometheus/client_golang/prometheus" client_testutil "github.com/prometheus/client_golang/prometheus/testutil" "github.com/prometheus/common/model" "github.com/stretchr/testify/require" "go.uber.org/atomic" "github.com/prometheus/prometheus/config" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/model/labels" "github.com/prometheus/prometheus/model/timestamp" "github.com/prometheus/prometheus/prompb" "github.com/prometheus/prometheus/scrape" "github.com/prometheus/prometheus/tsdb/chunks" "github.com/prometheus/prometheus/tsdb/record" ) const defaultFlushDeadline = 1 * time.Minute func newHighestTimestampMetric() *maxTimestamp { return &maxTimestamp{ Gauge: prometheus.NewGauge(prometheus.GaugeOpts{ Namespace: namespace, Subsystem: subsystem, Name: "highest_timestamp_in_seconds", Help: "Highest timestamp that has come into the remote storage via the Appender interface, in seconds since epoch.", }), } } func TestSampleDelivery(t *testing.T) { testcases := []struct { name string samples bool exemplars bool histograms bool floatHistograms bool }{ {samples: true, exemplars: false, histograms: false, floatHistograms: false, name: "samples only"}, {samples: true, exemplars: true, histograms: true, floatHistograms: true, name: "samples, exemplars, and histograms"}, {samples: false, exemplars: true, histograms: false, floatHistograms: false, name: "exemplars only"}, {samples: false, exemplars: false, histograms: true, floatHistograms: false, name: "histograms only"}, {samples: false, exemplars: false, histograms: false, floatHistograms: true, name: "float histograms only"}, } // Let's create an even number of send batches so we don't run into the // batch timeout case. n := 3 dir := t.TempDir() s := NewStorage(nil, nil, nil, dir, defaultFlushDeadline, nil) defer s.Close() queueConfig := config.DefaultQueueConfig queueConfig.BatchSendDeadline = model.Duration(100 * time.Millisecond) queueConfig.MaxShards = 1 // We need to set URL's so that metric creation doesn't panic. writeConfig := baseRemoteWriteConfig("http://test-storage.com") writeConfig.QueueConfig = queueConfig writeConfig.SendExemplars = true writeConfig.SendNativeHistograms = true conf := &config.Config{ GlobalConfig: config.DefaultGlobalConfig, RemoteWriteConfigs: []*config.RemoteWriteConfig{ writeConfig, }, } for _, tc := range testcases { t.Run(tc.name, func(t *testing.T) { var ( series []record.RefSeries samples []record.RefSample exemplars []record.RefExemplar histograms []record.RefHistogramSample floatHistograms []record.RefFloatHistogramSample ) // Generates same series in both cases. if tc.samples { samples, series = createTimeseries(n, n) } if tc.exemplars { exemplars, series = createExemplars(n, n) } if tc.histograms { histograms, _, series = createHistograms(n, n, false) } if tc.floatHistograms { _, floatHistograms, series = createHistograms(n, n, true) } // Apply new config. queueConfig.Capacity = len(samples) queueConfig.MaxSamplesPerSend = len(samples) / 2 require.NoError(t, s.ApplyConfig(conf)) hash, err := toHash(writeConfig) require.NoError(t, err) qm := s.rws.queues[hash] c := NewTestWriteClient() qm.SetClient(c) qm.StoreSeries(series, 0) // Send first half of data. c.expectSamples(samples[:len(samples)/2], series) c.expectExemplars(exemplars[:len(exemplars)/2], series) c.expectHistograms(histograms[:len(histograms)/2], series) c.expectFloatHistograms(floatHistograms[:len(floatHistograms)/2], series) qm.Append(samples[:len(samples)/2]) qm.AppendExemplars(exemplars[:len(exemplars)/2]) qm.AppendHistograms(histograms[:len(histograms)/2]) qm.AppendFloatHistograms(floatHistograms[:len(floatHistograms)/2]) c.waitForExpectedData(t) // Send second half of data. c.expectSamples(samples[len(samples)/2:], series) c.expectExemplars(exemplars[len(exemplars)/2:], series) c.expectHistograms(histograms[len(histograms)/2:], series) c.expectFloatHistograms(floatHistograms[len(floatHistograms)/2:], series) qm.Append(samples[len(samples)/2:]) qm.AppendExemplars(exemplars[len(exemplars)/2:]) qm.AppendHistograms(histograms[len(histograms)/2:]) qm.AppendFloatHistograms(floatHistograms[len(floatHistograms)/2:]) c.waitForExpectedData(t) }) } } func TestMetadataDelivery(t *testing.T) { c := NewTestWriteClient() dir := t.TempDir() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.Start() defer m.Stop() metadata := []scrape.MetricMetadata{} numMetadata := 1532 for i := 0; i < numMetadata; i++ { metadata = append(metadata, scrape.MetricMetadata{ Metric: "prometheus_remote_storage_sent_metadata_bytes_total_" + strconv.Itoa(i), Type: model.MetricTypeCounter, Help: "a nice help text", Unit: "", }) } m.AppendMetadata(context.Background(), metadata) require.Len(t, c.receivedMetadata, numMetadata) // One more write than the rounded qoutient should be performed in order to get samples that didn't // fit into MaxSamplesPerSend. require.Equal(t, numMetadata/mcfg.MaxSamplesPerSend+1, c.writesReceived) // Make sure the last samples were sent. require.Equal(t, c.receivedMetadata[metadata[len(metadata)-1].Metric][0].MetricFamilyName, metadata[len(metadata)-1].Metric) } func TestSampleDeliveryTimeout(t *testing.T) { // Let's send one less sample than batch size, and wait the timeout duration n := 9 samples, series := createTimeseries(n, n) c := NewTestWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig cfg.MaxShards = 1 cfg.BatchSendDeadline = model.Duration(100 * time.Millisecond) dir := t.TempDir() metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) m.Start() defer m.Stop() // Send the samples twice, waiting for the samples in the meantime. c.expectSamples(samples, series) m.Append(samples) c.waitForExpectedData(t) c.expectSamples(samples, series) m.Append(samples) c.waitForExpectedData(t) } func TestSampleDeliveryOrder(t *testing.T) { ts := 10 n := config.DefaultQueueConfig.MaxSamplesPerSend * ts samples := make([]record.RefSample, 0, n) series := make([]record.RefSeries, 0, n) for i := 0; i < n; i++ { name := fmt.Sprintf("test_metric_%d", i%ts) samples = append(samples, record.RefSample{ Ref: chunks.HeadSeriesRef(i), T: int64(i), V: float64(i), }) series = append(series, record.RefSeries{ Ref: chunks.HeadSeriesRef(i), Labels: labels.FromStrings("__name__", name), }) } c := NewTestWriteClient() c.expectSamples(samples, series) dir := t.TempDir() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) m.Start() defer m.Stop() // These should be received by the client. m.Append(samples) c.waitForExpectedData(t) } func TestShutdown(t *testing.T) { deadline := 1 * time.Second c := NewTestBlockedWriteClient() dir := t.TempDir() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, deadline, newPool(), newHighestTimestampMetric(), nil, false, false) n := 2 * config.DefaultQueueConfig.MaxSamplesPerSend samples, series := createTimeseries(n, n) m.StoreSeries(series, 0) m.Start() // Append blocks to guarantee delivery, so we do it in the background. go func() { m.Append(samples) }() time.Sleep(100 * time.Millisecond) // Test to ensure that Stop doesn't block. start := time.Now() m.Stop() // The samples will never be delivered, so duration should // be at least equal to deadline, otherwise the flush deadline // was not respected. duration := time.Since(start) if duration > deadline+(deadline/10) { t.Errorf("Took too long to shutdown: %s > %s", duration, deadline) } if duration < deadline { t.Errorf("Shutdown occurred before flush deadline: %s < %s", duration, deadline) } } func TestSeriesReset(t *testing.T) { c := NewTestBlockedWriteClient() deadline := 5 * time.Second numSegments := 4 numSeries := 25 dir := t.TempDir() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, deadline, newPool(), newHighestTimestampMetric(), nil, false, false) for i := 0; i < numSegments; i++ { series := []record.RefSeries{} for j := 0; j < numSeries; j++ { series = append(series, record.RefSeries{Ref: chunks.HeadSeriesRef((i * 100) + j), Labels: labels.FromStrings("a", "a")}) } m.StoreSeries(series, i) } require.Len(t, m.seriesLabels, numSegments*numSeries) m.SeriesReset(2) require.Len(t, m.seriesLabels, numSegments*numSeries/2) } func TestReshard(t *testing.T) { size := 10 // Make bigger to find more races. nSeries := 6 nSamples := config.DefaultQueueConfig.Capacity * size samples, series := createTimeseries(nSamples, nSeries) c := NewTestWriteClient() c.expectSamples(samples, series) cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig cfg.MaxShards = 1 dir := t.TempDir() metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) m.Start() defer m.Stop() go func() { for i := 0; i < len(samples); i += config.DefaultQueueConfig.Capacity { sent := m.Append(samples[i : i+config.DefaultQueueConfig.Capacity]) require.True(t, sent, "samples not sent") time.Sleep(100 * time.Millisecond) } }() for i := 1; i < len(samples)/config.DefaultQueueConfig.Capacity; i++ { m.shards.stop() m.shards.start(i) time.Sleep(100 * time.Millisecond) } c.waitForExpectedData(t) } func TestReshardRaceWithStop(*testing.T) { c := NewTestWriteClient() var m *QueueManager h := sync.Mutex{} h.Lock() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig exitCh := make(chan struct{}) go func() { for { metrics := newQueueManagerMetrics(nil, "", "") m = NewQueueManager(metrics, nil, nil, nil, "", newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.Start() h.Unlock() h.Lock() m.Stop() select { case exitCh <- struct{}{}: return default: } } }() for i := 1; i < 100; i++ { h.Lock() m.reshardChan <- i h.Unlock() } <-exitCh } func TestReshardPartialBatch(t *testing.T) { samples, series := createTimeseries(1, 10) c := NewTestBlockedWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig cfg.MaxShards = 1 batchSendDeadline := time.Millisecond flushDeadline := 10 * time.Millisecond cfg.BatchSendDeadline = model.Duration(batchSendDeadline) metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, t.TempDir(), newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, flushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) m.Start() for i := 0; i < 100; i++ { done := make(chan struct{}) go func() { m.Append(samples) time.Sleep(batchSendDeadline) m.shards.stop() m.shards.start(1) done <- struct{}{} }() select { case <-done: case <-time.After(2 * time.Second): t.Error("Deadlock between sending and stopping detected") pprof.Lookup("goroutine").WriteTo(os.Stdout, 1) t.FailNow() } } // We can only call stop if there was not a deadlock. m.Stop() } // TestQueueFilledDeadlock makes sure the code does not deadlock in the case // where a large scrape (> capacity + max samples per send) is appended at the // same time as a batch times out according to the batch send deadline. func TestQueueFilledDeadlock(t *testing.T) { samples, series := createTimeseries(50, 1) c := NewNopWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig cfg.MaxShards = 1 cfg.MaxSamplesPerSend = 10 cfg.Capacity = 20 flushDeadline := time.Second batchSendDeadline := time.Millisecond cfg.BatchSendDeadline = model.Duration(batchSendDeadline) metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, t.TempDir(), newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, flushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) m.Start() defer m.Stop() for i := 0; i < 100; i++ { done := make(chan struct{}) go func() { time.Sleep(batchSendDeadline) m.Append(samples) done <- struct{}{} }() select { case <-done: case <-time.After(2 * time.Second): t.Error("Deadlock between sending and appending detected") pprof.Lookup("goroutine").WriteTo(os.Stdout, 1) t.FailNow() } } } func TestReleaseNoninternedString(t *testing.T) { cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig metrics := newQueueManagerMetrics(nil, "", "") c := NewTestWriteClient() m := NewQueueManager(metrics, nil, nil, nil, "", newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.Start() defer m.Stop() for i := 1; i < 1000; i++ { m.StoreSeries([]record.RefSeries{ { Ref: chunks.HeadSeriesRef(i), Labels: labels.FromStrings("asdf", fmt.Sprintf("%d", i)), }, }, 0) m.SeriesReset(1) } metric := client_testutil.ToFloat64(noReferenceReleases) require.Equal(t, 0.0, metric, "expected there to be no calls to release for strings that were not already interned: %d", int(metric)) } func TestShouldReshard(t *testing.T) { type testcase struct { startingShards int samplesIn, samplesOut, lastSendTimestamp int64 expectedToReshard bool } cases := []testcase{ { // Resharding shouldn't take place if the last successful send was > batch send deadline*2 seconds ago. startingShards: 10, samplesIn: 1000, samplesOut: 10, lastSendTimestamp: time.Now().Unix() - int64(3*time.Duration(config.DefaultQueueConfig.BatchSendDeadline)/time.Second), expectedToReshard: false, }, { startingShards: 5, samplesIn: 1000, samplesOut: 10, lastSendTimestamp: time.Now().Unix(), expectedToReshard: true, }, } cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig for _, c := range cases { metrics := newQueueManagerMetrics(nil, "", "") client := NewTestWriteClient() m := NewQueueManager(metrics, nil, nil, nil, "", newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, client, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.numShards = c.startingShards m.dataIn.incr(c.samplesIn) m.dataOut.incr(c.samplesOut) m.lastSendTimestamp.Store(c.lastSendTimestamp) m.Start() desiredShards := m.calculateDesiredShards() shouldReshard := m.shouldReshard(desiredShards) m.Stop() require.Equal(t, c.expectedToReshard, shouldReshard) } } func createTimeseries(numSamples, numSeries int, extraLabels ...labels.Label) ([]record.RefSample, []record.RefSeries) { samples := make([]record.RefSample, 0, numSamples) series := make([]record.RefSeries, 0, numSeries) b := labels.ScratchBuilder{} for i := 0; i < numSeries; i++ { name := fmt.Sprintf("test_metric_%d", i) for j := 0; j < numSamples; j++ { samples = append(samples, record.RefSample{ Ref: chunks.HeadSeriesRef(i), T: int64(j), V: float64(i), }) } // Create Labels that is name of series plus any extra labels supplied. b.Reset() b.Add(labels.MetricName, name) for _, l := range extraLabels { b.Add(l.Name, l.Value) } b.Sort() series = append(series, record.RefSeries{ Ref: chunks.HeadSeriesRef(i), Labels: b.Labels(), }) } return samples, series } func createExemplars(numExemplars, numSeries int) ([]record.RefExemplar, []record.RefSeries) { exemplars := make([]record.RefExemplar, 0, numExemplars) series := make([]record.RefSeries, 0, numSeries) for i := 0; i < numSeries; i++ { name := fmt.Sprintf("test_metric_%d", i) for j := 0; j < numExemplars; j++ { e := record.RefExemplar{ Ref: chunks.HeadSeriesRef(i), T: int64(j), V: float64(i), Labels: labels.FromStrings("traceID", fmt.Sprintf("trace-%d", i)), } exemplars = append(exemplars, e) } series = append(series, record.RefSeries{ Ref: chunks.HeadSeriesRef(i), Labels: labels.FromStrings("__name__", name), }) } return exemplars, series } func createHistograms(numSamples, numSeries int, floatHistogram bool) ([]record.RefHistogramSample, []record.RefFloatHistogramSample, []record.RefSeries) { histograms := make([]record.RefHistogramSample, 0, numSamples) floatHistograms := make([]record.RefFloatHistogramSample, 0, numSamples) series := make([]record.RefSeries, 0, numSeries) for i := 0; i < numSeries; i++ { name := fmt.Sprintf("test_metric_%d", i) for j := 0; j < numSamples; j++ { hist := &histogram.Histogram{ Schema: 2, ZeroThreshold: 1e-128, ZeroCount: 0, Count: 2, Sum: 0, PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}}, PositiveBuckets: []int64{int64(i) + 1}, NegativeSpans: []histogram.Span{{Offset: 0, Length: 1}}, NegativeBuckets: []int64{int64(-i) - 1}, } if floatHistogram { fh := record.RefFloatHistogramSample{ Ref: chunks.HeadSeriesRef(i), T: int64(j), FH: hist.ToFloat(nil), } floatHistograms = append(floatHistograms, fh) } else { h := record.RefHistogramSample{ Ref: chunks.HeadSeriesRef(i), T: int64(j), H: hist, } histograms = append(histograms, h) } } series = append(series, record.RefSeries{ Ref: chunks.HeadSeriesRef(i), Labels: labels.FromStrings("__name__", name), }) } if floatHistogram { return nil, floatHistograms, series } return histograms, nil, series } func getSeriesNameFromRef(r record.RefSeries) string { return r.Labels.Get("__name__") } type TestWriteClient struct { receivedSamples map[string][]prompb.Sample expectedSamples map[string][]prompb.Sample receivedExemplars map[string][]prompb.Exemplar expectedExemplars map[string][]prompb.Exemplar receivedHistograms map[string][]prompb.Histogram receivedFloatHistograms map[string][]prompb.Histogram expectedHistograms map[string][]prompb.Histogram expectedFloatHistograms map[string][]prompb.Histogram receivedMetadata map[string][]prompb.MetricMetadata writesReceived int withWaitGroup bool wg sync.WaitGroup mtx sync.Mutex buf []byte } func NewTestWriteClient() *TestWriteClient { return &TestWriteClient{ withWaitGroup: true, receivedSamples: map[string][]prompb.Sample{}, expectedSamples: map[string][]prompb.Sample{}, receivedMetadata: map[string][]prompb.MetricMetadata{}, } } func (c *TestWriteClient) expectSamples(ss []record.RefSample, series []record.RefSeries) { if !c.withWaitGroup { return } c.mtx.Lock() defer c.mtx.Unlock() c.expectedSamples = map[string][]prompb.Sample{} c.receivedSamples = map[string][]prompb.Sample{} for _, s := range ss { seriesName := getSeriesNameFromRef(series[s.Ref]) c.expectedSamples[seriesName] = append(c.expectedSamples[seriesName], prompb.Sample{ Timestamp: s.T, Value: s.V, }) } c.wg.Add(len(ss)) } func (c *TestWriteClient) expectExemplars(ss []record.RefExemplar, series []record.RefSeries) { if !c.withWaitGroup { return } c.mtx.Lock() defer c.mtx.Unlock() c.expectedExemplars = map[string][]prompb.Exemplar{} c.receivedExemplars = map[string][]prompb.Exemplar{} for _, s := range ss { seriesName := getSeriesNameFromRef(series[s.Ref]) e := prompb.Exemplar{ Labels: labelsToLabelsProto(s.Labels, nil), Timestamp: s.T, Value: s.V, } c.expectedExemplars[seriesName] = append(c.expectedExemplars[seriesName], e) } c.wg.Add(len(ss)) } func (c *TestWriteClient) expectHistograms(hh []record.RefHistogramSample, series []record.RefSeries) { if !c.withWaitGroup { return } c.mtx.Lock() defer c.mtx.Unlock() c.expectedHistograms = map[string][]prompb.Histogram{} c.receivedHistograms = map[string][]prompb.Histogram{} for _, h := range hh { seriesName := getSeriesNameFromRef(series[h.Ref]) c.expectedHistograms[seriesName] = append(c.expectedHistograms[seriesName], HistogramToHistogramProto(h.T, h.H)) } c.wg.Add(len(hh)) } func (c *TestWriteClient) expectFloatHistograms(fhs []record.RefFloatHistogramSample, series []record.RefSeries) { if !c.withWaitGroup { return } c.mtx.Lock() defer c.mtx.Unlock() c.expectedFloatHistograms = map[string][]prompb.Histogram{} c.receivedFloatHistograms = map[string][]prompb.Histogram{} for _, fh := range fhs { seriesName := getSeriesNameFromRef(series[fh.Ref]) c.expectedFloatHistograms[seriesName] = append(c.expectedFloatHistograms[seriesName], FloatHistogramToHistogramProto(fh.T, fh.FH)) } c.wg.Add(len(fhs)) } func (c *TestWriteClient) waitForExpectedData(tb testing.TB) { if !c.withWaitGroup { return } c.wg.Wait() c.mtx.Lock() defer c.mtx.Unlock() for ts, expectedSamples := range c.expectedSamples { require.Equal(tb, expectedSamples, c.receivedSamples[ts], ts) } for ts, expectedExemplar := range c.expectedExemplars { require.Equal(tb, expectedExemplar, c.receivedExemplars[ts], ts) } for ts, expectedHistogram := range c.expectedHistograms { require.Equal(tb, expectedHistogram, c.receivedHistograms[ts], ts) } for ts, expectedFloatHistogram := range c.expectedFloatHistograms { require.Equal(tb, expectedFloatHistogram, c.receivedFloatHistograms[ts], ts) } } func (c *TestWriteClient) Store(_ context.Context, req []byte, _ int) error { c.mtx.Lock() defer c.mtx.Unlock() // nil buffers are ok for snappy, ignore cast error. if c.buf != nil { c.buf = c.buf[:cap(c.buf)] } reqBuf, err := snappy.Decode(c.buf, req) c.buf = reqBuf if err != nil { return err } var reqProto prompb.WriteRequest if err := proto.Unmarshal(reqBuf, &reqProto); err != nil { return err } count := 0 for _, ts := range reqProto.Timeseries { labels := labelProtosToLabels(ts.Labels) seriesName := labels.Get("__name__") for _, sample := range ts.Samples { count++ c.receivedSamples[seriesName] = append(c.receivedSamples[seriesName], sample) } for _, ex := range ts.Exemplars { count++ c.receivedExemplars[seriesName] = append(c.receivedExemplars[seriesName], ex) } for _, histogram := range ts.Histograms { count++ if histogram.IsFloatHistogram() { c.receivedFloatHistograms[seriesName] = append(c.receivedFloatHistograms[seriesName], histogram) } else { c.receivedHistograms[seriesName] = append(c.receivedHistograms[seriesName], histogram) } } } if c.withWaitGroup { c.wg.Add(-count) } for _, m := range reqProto.Metadata { c.receivedMetadata[m.MetricFamilyName] = append(c.receivedMetadata[m.MetricFamilyName], m) } c.writesReceived++ return nil } func (c *TestWriteClient) Name() string { return "testwriteclient" } func (c *TestWriteClient) Endpoint() string { return "http://test-remote.com/1234" } // TestBlockingWriteClient is a queue_manager WriteClient which will block // on any calls to Store(), until the request's Context is cancelled, at which // point the `numCalls` property will contain a count of how many times Store() // was called. type TestBlockingWriteClient struct { numCalls atomic.Uint64 } func NewTestBlockedWriteClient() *TestBlockingWriteClient { return &TestBlockingWriteClient{} } func (c *TestBlockingWriteClient) Store(ctx context.Context, _ []byte, _ int) error { c.numCalls.Inc() <-ctx.Done() return nil } func (c *TestBlockingWriteClient) NumCalls() uint64 { return c.numCalls.Load() } func (c *TestBlockingWriteClient) Name() string { return "testblockingwriteclient" } func (c *TestBlockingWriteClient) Endpoint() string { return "http://test-remote-blocking.com/1234" } // For benchmarking the send and not the receive side. type NopWriteClient struct{} func NewNopWriteClient() *NopWriteClient { return &NopWriteClient{} } func (c *NopWriteClient) Store(context.Context, []byte, int) error { return nil } func (c *NopWriteClient) Name() string { return "nopwriteclient" } func (c *NopWriteClient) Endpoint() string { return "http://test-remote.com/1234" } func BenchmarkSampleSend(b *testing.B) { // Send one sample per series, which is the typical remote_write case const numSamples = 1 const numSeries = 10000 // Extra labels to make a more realistic workload - taken from Kubernetes' embedded cAdvisor metrics. extraLabels := []labels.Label{ {Name: "kubernetes_io_arch", Value: "amd64"}, {Name: "kubernetes_io_instance_type", Value: "c3.somesize"}, {Name: "kubernetes_io_os", Value: "linux"}, {Name: "container_name", Value: "some-name"}, {Name: "failure_domain_kubernetes_io_region", Value: "somewhere-1"}, {Name: "failure_domain_kubernetes_io_zone", Value: "somewhere-1b"}, {Name: "id", Value: "/kubepods/burstable/pod6e91c467-e4c5-11e7-ace3-0a97ed59c75e/a3c8498918bd6866349fed5a6f8c643b77c91836427fb6327913276ebc6bde28"}, {Name: "image", Value: "registry/organisation/name@sha256:dca3d877a80008b45d71d7edc4fd2e44c0c8c8e7102ba5cbabec63a374d1d506"}, {Name: "instance", Value: "ip-111-11-1-11.ec2.internal"}, {Name: "job", Value: "kubernetes-cadvisor"}, {Name: "kubernetes_io_hostname", Value: "ip-111-11-1-11"}, {Name: "monitor", Value: "prod"}, {Name: "name", Value: "k8s_some-name_some-other-name-5j8s8_kube-system_6e91c467-e4c5-11e7-ace3-0a97ed59c75e_0"}, {Name: "namespace", Value: "kube-system"}, {Name: "pod_name", Value: "some-other-name-5j8s8"}, } samples, series := createTimeseries(numSamples, numSeries, extraLabels...) c := NewNopWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig cfg.BatchSendDeadline = model.Duration(100 * time.Millisecond) cfg.MinShards = 20 cfg.MaxShards = 20 dir := b.TempDir() metrics := newQueueManagerMetrics(nil, "", "") m := NewQueueManager(metrics, nil, nil, nil, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) m.StoreSeries(series, 0) // These should be received by the client. m.Start() defer m.Stop() b.ResetTimer() for i := 0; i < b.N; i++ { m.Append(samples) m.UpdateSeriesSegment(series, i+1) // simulate what wlog.Watcher.garbageCollectSeries does m.SeriesReset(i + 1) } // Do not include shutdown b.StopTimer() } func BenchmarkStartup(b *testing.B) { dir := os.Getenv("WALDIR") if dir == "" { return } // Find the second largest segment; we will replay up to this. // (Second largest as WALWatcher will start tailing the largest). dirents, err := os.ReadDir(dir) require.NoError(b, err) var segments []int for _, dirent := range dirents { if i, err := strconv.Atoi(dirent.Name()); err != nil { segments = append(segments, i) } } sort.Ints(segments) logger := log.NewLogfmtLogger(log.NewSyncWriter(os.Stdout)) logger = log.With(logger, "caller", log.DefaultCaller) cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig for n := 0; n < b.N; n++ { metrics := newQueueManagerMetrics(nil, "", "") c := NewTestBlockedWriteClient() m := NewQueueManager(metrics, nil, nil, logger, dir, newEWMARate(ewmaWeight, shardUpdateDuration), cfg, mcfg, labels.EmptyLabels(), nil, c, 1*time.Minute, newPool(), newHighestTimestampMetric(), nil, false, false) m.watcher.SetStartTime(timestamp.Time(math.MaxInt64)) m.watcher.MaxSegment = segments[len(segments)-2] err := m.watcher.Run() require.NoError(b, err) } } func TestProcessExternalLabels(t *testing.T) { for _, tc := range []struct { labels labels.Labels externalLabels []labels.Label expected labels.Labels }{ // Test adding labels at the end. { labels: labels.FromStrings("a", "b"), externalLabels: []labels.Label{{Name: "c", Value: "d"}}, expected: labels.FromStrings("a", "b", "c", "d"), }, // Test adding labels at the beginning. { labels: labels.FromStrings("c", "d"), externalLabels: []labels.Label{{Name: "a", Value: "b"}}, expected: labels.FromStrings("a", "b", "c", "d"), }, // Test we don't override existing labels. { labels: labels.FromStrings("a", "b"), externalLabels: []labels.Label{{Name: "a", Value: "c"}}, expected: labels.FromStrings("a", "b"), }, // Test empty externalLabels. { labels: labels.FromStrings("a", "b"), externalLabels: []labels.Label{}, expected: labels.FromStrings("a", "b"), }, // Test empty labels. { labels: labels.EmptyLabels(), externalLabels: []labels.Label{{Name: "a", Value: "b"}}, expected: labels.FromStrings("a", "b"), }, // Test labels is longer than externalLabels. { labels: labels.FromStrings("a", "b", "c", "d"), externalLabels: []labels.Label{{Name: "e", Value: "f"}}, expected: labels.FromStrings("a", "b", "c", "d", "e", "f"), }, // Test externalLabels is longer than labels. { labels: labels.FromStrings("c", "d"), externalLabels: []labels.Label{{Name: "a", Value: "b"}, {Name: "e", Value: "f"}}, expected: labels.FromStrings("a", "b", "c", "d", "e", "f"), }, // Adding with and without clashing labels. { labels: labels.FromStrings("a", "b", "c", "d"), externalLabels: []labels.Label{{Name: "a", Value: "xxx"}, {Name: "c", Value: "yyy"}, {Name: "e", Value: "f"}}, expected: labels.FromStrings("a", "b", "c", "d", "e", "f"), }, } { require.Equal(t, tc.expected, processExternalLabels(tc.labels, tc.externalLabels)) } } func TestCalculateDesiredShards(t *testing.T) { c := NewTestWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig dir := t.TempDir() metrics := newQueueManagerMetrics(nil, "", "") samplesIn := newEWMARate(ewmaWeight, shardUpdateDuration) m := NewQueueManager(metrics, nil, nil, nil, dir, samplesIn, cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) // Need to start the queue manager so the proper metrics are initialized. // However we can stop it right away since we don't need to do any actual // processing. m.Start() m.Stop() inputRate := int64(50000) var pendingSamples int64 // Two minute startup, no samples are sent. startedAt := time.Now().Add(-2 * time.Minute) // helper function for adding samples. addSamples := func(s int64, ts time.Duration) { pendingSamples += s samplesIn.incr(s) samplesIn.tick() m.highestRecvTimestamp.Set(float64(startedAt.Add(ts).Unix())) } // helper function for sending samples. sendSamples := func(s int64, ts time.Duration) { pendingSamples -= s m.dataOut.incr(s) m.dataOutDuration.incr(int64(m.numShards) * int64(shardUpdateDuration)) // highest sent is how far back pending samples would be at our input rate. highestSent := startedAt.Add(ts - time.Duration(pendingSamples/inputRate)*time.Second) m.metrics.highestSentTimestamp.Set(float64(highestSent.Unix())) m.lastSendTimestamp.Store(time.Now().Unix()) } ts := time.Duration(0) for ; ts < 120*time.Second; ts += shardUpdateDuration { addSamples(inputRate*int64(shardUpdateDuration/time.Second), ts) m.numShards = m.calculateDesiredShards() require.Equal(t, 1, m.numShards) } // Assume 100ms per request, or 10 requests per second per shard. // Shard calculation should never drop below barely keeping up. minShards := int(inputRate) / cfg.MaxSamplesPerSend / 10 // This test should never go above 200 shards, that would be more resources than needed. maxShards := 200 for ; ts < 15*time.Minute; ts += shardUpdateDuration { sin := inputRate * int64(shardUpdateDuration/time.Second) addSamples(sin, ts) sout := int64(m.numShards*cfg.MaxSamplesPerSend) * int64(shardUpdateDuration/(100*time.Millisecond)) // You can't send samples that don't exist so cap at the number of pending samples. if sout > pendingSamples { sout = pendingSamples } sendSamples(sout, ts) t.Log("desiredShards", m.numShards, "pendingSamples", pendingSamples) m.numShards = m.calculateDesiredShards() require.GreaterOrEqual(t, m.numShards, minShards, "Shards are too low. desiredShards=%d, minShards=%d, t_seconds=%d", m.numShards, minShards, ts/time.Second) require.LessOrEqual(t, m.numShards, maxShards, "Shards are too high. desiredShards=%d, maxShards=%d, t_seconds=%d", m.numShards, maxShards, ts/time.Second) } require.Equal(t, int64(0), pendingSamples, "Remote write never caught up, there are still %d pending samples.", pendingSamples) } func TestCalculateDesiredShardsDetail(t *testing.T) { c := NewTestWriteClient() cfg := config.DefaultQueueConfig mcfg := config.DefaultMetadataConfig dir := t.TempDir() metrics := newQueueManagerMetrics(nil, "", "") samplesIn := newEWMARate(ewmaWeight, shardUpdateDuration) m := NewQueueManager(metrics, nil, nil, nil, dir, samplesIn, cfg, mcfg, labels.EmptyLabels(), nil, c, defaultFlushDeadline, newPool(), newHighestTimestampMetric(), nil, false, false) for _, tc := range []struct { name string prevShards int dataIn int64 // Quantities normalised to seconds. dataOut int64 dataDropped int64 dataOutDuration float64 backlog float64 expectedShards int }{ { name: "nothing in or out 1", prevShards: 1, expectedShards: 1, // Shards stays the same. }, { name: "nothing in or out 10", prevShards: 10, expectedShards: 10, // Shards stays the same. }, { name: "steady throughput", prevShards: 1, dataIn: 10, dataOut: 10, dataOutDuration: 1, expectedShards: 1, }, { name: "scale down", prevShards: 10, dataIn: 10, dataOut: 10, dataOutDuration: 5, expectedShards: 5, }, { name: "scale down constrained", prevShards: 7, dataIn: 10, dataOut: 10, dataOutDuration: 5, expectedShards: 7, }, { name: "scale up", prevShards: 1, dataIn: 10, dataOut: 10, dataOutDuration: 10, expectedShards: 10, }, { name: "scale up constrained", prevShards: 8, dataIn: 10, dataOut: 10, dataOutDuration: 10, expectedShards: 8, }, { name: "backlogged 20s", prevShards: 2, dataIn: 10, dataOut: 10, dataOutDuration: 2, backlog: 20, expectedShards: 4, }, { name: "backlogged 90s", prevShards: 4, dataIn: 10, dataOut: 10, dataOutDuration: 4, backlog: 90, expectedShards: 22, }, { name: "backlog reduced", prevShards: 22, dataIn: 10, dataOut: 20, dataOutDuration: 4, backlog: 10, expectedShards: 3, }, { name: "backlog eliminated", prevShards: 3, dataIn: 10, dataOut: 10, dataOutDuration: 2, backlog: 0, expectedShards: 2, // Shard back down. }, { name: "slight slowdown", prevShards: 1, dataIn: 10, dataOut: 10, dataOutDuration: 1.2, expectedShards: 2, // 1.2 is rounded up to 2. }, { name: "bigger slowdown", prevShards: 1, dataIn: 10, dataOut: 10, dataOutDuration: 1.4, expectedShards: 2, }, { name: "speed up", prevShards: 2, dataIn: 10, dataOut: 10, dataOutDuration: 1.2, backlog: 0, expectedShards: 2, // No reaction - 1.2 is rounded up to 2. }, { name: "speed up more", prevShards: 2, dataIn: 10, dataOut: 10, dataOutDuration: 0.9, backlog: 0, expectedShards: 1, }, { name: "marginal decision A", prevShards: 3, dataIn: 10, dataOut: 10, dataOutDuration: 2.01, backlog: 0, expectedShards: 3, // 2.01 rounds up to 3. }, { name: "marginal decision B", prevShards: 3, dataIn: 10, dataOut: 10, dataOutDuration: 1.99, backlog: 0, expectedShards: 2, // 1.99 rounds up to 2. }, } { t.Run(tc.name, func(t *testing.T) { m.numShards = tc.prevShards forceEMWA(samplesIn, tc.dataIn*int64(shardUpdateDuration/time.Second)) samplesIn.tick() forceEMWA(m.dataOut, tc.dataOut*int64(shardUpdateDuration/time.Second)) forceEMWA(m.dataDropped, tc.dataDropped*int64(shardUpdateDuration/time.Second)) forceEMWA(m.dataOutDuration, int64(tc.dataOutDuration*float64(shardUpdateDuration))) m.highestRecvTimestamp.value = tc.backlog // Not Set() because it can only increase value. require.Equal(t, tc.expectedShards, m.calculateDesiredShards()) }) } } func forceEMWA(r *ewmaRate, rate int64) { r.init = false r.newEvents.Store(rate) } func TestQueueManagerMetrics(t *testing.T) { reg := prometheus.NewPedanticRegistry() metrics := newQueueManagerMetrics(reg, "name", "http://localhost:1234") // Make sure metrics pass linting. problems, err := client_testutil.GatherAndLint(reg) require.NoError(t, err) require.Empty(t, problems, "Metric linting problems detected: %v", problems) // Make sure all metrics were unregistered. A failure here means you need // unregister a metric in `queueManagerMetrics.unregister()`. metrics.unregister() err = client_testutil.GatherAndCompare(reg, strings.NewReader("")) require.NoError(t, err) } func TestQueue_FlushAndShutdownDoesNotDeadlock(t *testing.T) { capacity := 100 batchSize := 10 queue := newQueue(batchSize, capacity) for i := 0; i < capacity+batchSize; i++ { queue.Append(timeSeries{}) } done := make(chan struct{}) go queue.FlushAndShutdown(done) go func() { // Give enough time for FlushAndShutdown to acquire the lock. queue.Batch() // should not block forever even if the lock is acquired. time.Sleep(10 * time.Millisecond) queue.Batch() close(done) }() select { case <-done: case <-time.After(2 * time.Second): t.Error("Deadlock in FlushAndShutdown detected") pprof.Lookup("goroutine").WriteTo(os.Stdout, 1) t.FailNow() } }