prometheus/tsdb/wal/watcher_test.go

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Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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// Copyright 2018 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 wal
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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import (
"fmt"
"io/ioutil"
"math/rand"
"os"
"path"
"sync"
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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"testing"
"time"
"github.com/go-kit/kit/log"
"github.com/prometheus/client_golang/prometheus"
"github.com/stretchr/testify/assert"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/tsdb/record"
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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)
var defaultRetryInterval = 100 * time.Millisecond
var defaultRetries = 100
var wMetrics = NewWatcherMetrics(prometheus.DefaultRegisterer)
// retry executes f() n times at each interval until it returns true.
func retry(t *testing.T, interval time.Duration, n int, f func() bool) {
t.Helper()
ticker := time.NewTicker(interval)
for i := 0; i <= n; i++ {
if f() {
return
}
<-ticker.C
}
ticker.Stop()
t.Logf("function returned false")
}
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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type writeToMock struct {
samplesAppended int
seriesLock sync.Mutex
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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seriesSegmentIndexes map[uint64]int
}
func (wtm *writeToMock) Append(s []record.RefSample) bool {
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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wtm.samplesAppended += len(s)
return true
}
func (wtm *writeToMock) StoreSeries(series []record.RefSeries, index int) {
wtm.seriesLock.Lock()
defer wtm.seriesLock.Unlock()
for _, s := range series {
wtm.seriesSegmentIndexes[s.Ref] = index
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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}
}
func (wtm *writeToMock) SeriesReset(index int) {
// Check for series that are in segments older than the checkpoint
// that were not also present in the checkpoint.
wtm.seriesLock.Lock()
defer wtm.seriesLock.Unlock()
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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for k, v := range wtm.seriesSegmentIndexes {
if v < index {
delete(wtm.seriesSegmentIndexes, k)
}
}
}
func (wtm *writeToMock) checkNumLabels() int {
wtm.seriesLock.Lock()
defer wtm.seriesLock.Unlock()
return len(wtm.seriesSegmentIndexes)
}
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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func newWriteToMock() *writeToMock {
return &writeToMock{
seriesSegmentIndexes: make(map[uint64]int),
}
}
func TestTailSamples(t *testing.T) {
pageSize := 32 * 1024
const seriesCount = 10
const samplesCount = 250
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
now := time.Now()
dir, err := ioutil.TempDir("", "readCheckpoint")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
enc := record.Encoder{}
w, err := NewSize(nil, nil, wdir, 128*pageSize, compress)
assert.NoError(t, err)
defer func() {
assert.NoError(t, w.Close())
}()
// Write to the initial segment then checkpoint.
for i := 0; i < seriesCount; i++ {
ref := i + 100
series := enc.Series([]record.RefSeries{
{
Ref: uint64(ref),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
assert.NoError(t, w.Log(series))
for j := 0; j < samplesCount; j++ {
inner := rand.Intn(ref + 1)
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(inner),
T: int64(now.UnixNano()) + 1,
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
// Start read after checkpoint, no more data written.
first, last, err := Segments(w.Dir())
assert.NoError(t, err)
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
watcher.SetStartTime(now)
// Set the Watcher's metrics so they're not nil pointers.
watcher.setMetrics()
for i := first; i <= last; i++ {
segment, err := OpenReadSegment(SegmentName(watcher.walDir, i))
assert.NoError(t, err)
defer segment.Close()
reader := NewLiveReader(nil, NewLiveReaderMetrics(nil), segment)
// Use tail true so we can ensure we got the right number of samples.
watcher.readSegment(reader, i, true)
}
expectedSeries := seriesCount
expectedSamples := seriesCount * samplesCount
retry(t, defaultRetryInterval, defaultRetries, func() bool {
return wt.checkNumLabels() >= expectedSeries
})
assert.Equal(t, expectedSeries, wt.checkNumLabels())
assert.Equal(t, expectedSamples, wt.samplesAppended)
})
}
}
func TestReadToEndNoCheckpoint(t *testing.T) {
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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pageSize := 32 * 1024
const seriesCount = 10
const samplesCount = 250
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "readToEnd_noCheckpoint")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
w, err := NewSize(nil, nil, wdir, 128*pageSize, compress)
assert.NoError(t, err)
defer func() {
assert.NoError(t, w.Close())
}()
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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var recs [][]byte
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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enc := record.Encoder{}
for i := 0; i < seriesCount; i++ {
series := enc.Series([]record.RefSeries{
{
Ref: uint64(i),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
recs = append(recs, series)
for j := 0; j < samplesCount; j++ {
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(j),
T: int64(i),
V: float64(i),
},
}, nil)
recs = append(recs, sample)
// Randomly batch up records.
if rand.Intn(4) < 3 {
assert.NoError(t, w.Log(recs...))
recs = recs[:0]
}
}
}
assert.NoError(t, w.Log(recs...))
_, _, err = Segments(w.Dir())
assert.NoError(t, err)
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
go watcher.Start()
expected := seriesCount
retry(t, defaultRetryInterval, defaultRetries, func() bool {
return wt.checkNumLabels() >= expected
})
watcher.Stop()
assert.Equal(t, expected, wt.checkNumLabels())
})
}
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
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}
func TestReadToEndWithCheckpoint(t *testing.T) {
segmentSize := 32 * 1024
// We need something similar to this # of series and samples
// in order to get enough segments for us to checkpoint.
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
const seriesCount = 10
const samplesCount = 250
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "readToEnd_withCheckpoint")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
enc := record.Encoder{}
w, err := NewSize(nil, nil, wdir, segmentSize, compress)
assert.NoError(t, err)
defer func() {
assert.NoError(t, w.Close())
}()
// Write to the initial segment then checkpoint.
for i := 0; i < seriesCount; i++ {
ref := i + 100
series := enc.Series([]record.RefSeries{
{
Ref: uint64(ref),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
assert.NoError(t, w.Log(series))
// Add in an unknown record type, which should be ignored.
assert.NoError(t, w.Log([]byte{255}))
for j := 0; j < samplesCount; j++ {
inner := rand.Intn(ref + 1)
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(inner),
T: int64(i),
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
Checkpoint(log.NewNopLogger(), w, 0, 1, func(x uint64) bool { return true }, 0)
w.Truncate(1)
// Write more records after checkpointing.
for i := 0; i < seriesCount; i++ {
series := enc.Series([]record.RefSeries{
{
Ref: uint64(i),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
assert.NoError(t, w.Log(series))
for j := 0; j < samplesCount; j++ {
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(j),
T: int64(i),
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
_, _, err = Segments(w.Dir())
assert.NoError(t, err)
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
go watcher.Start()
expected := seriesCount * 2
retry(t, defaultRetryInterval, defaultRetries, func() bool {
return wt.checkNumLabels() >= expected
})
watcher.Stop()
assert.Equal(t, expected, wt.checkNumLabels())
})
}
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
}
func TestReadCheckpoint(t *testing.T) {
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
pageSize := 32 * 1024
const seriesCount = 10
const samplesCount = 250
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "readCheckpoint")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
os.Create(SegmentName(wdir, 30))
enc := record.Encoder{}
w, err := NewSize(nil, nil, wdir, 128*pageSize, compress)
assert.NoError(t, err)
defer func() {
assert.NoError(t, w.Close())
}()
// Write to the initial segment then checkpoint.
for i := 0; i < seriesCount; i++ {
ref := i + 100
series := enc.Series([]record.RefSeries{
{
Ref: uint64(ref),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
assert.NoError(t, w.Log(series))
for j := 0; j < samplesCount; j++ {
inner := rand.Intn(ref + 1)
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(inner),
T: int64(i),
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
Checkpoint(log.NewNopLogger(), w, 30, 31, func(x uint64) bool { return true }, 0)
w.Truncate(32)
// Start read after checkpoint, no more data written.
_, _, err = Segments(w.Dir())
assert.NoError(t, err)
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
go watcher.Start()
expectedSeries := seriesCount
retry(t, defaultRetryInterval, defaultRetries, func() bool {
return wt.checkNumLabels() >= expectedSeries
})
watcher.Stop()
assert.Equal(t, expectedSeries, wt.checkNumLabels())
})
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
}
}
func TestReadCheckpointMultipleSegments(t *testing.T) {
pageSize := 32 * 1024
const segments = 1
const seriesCount = 20
const samplesCount = 300
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "readCheckpoint")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
enc := record.Encoder{}
w, err := NewSize(nil, nil, wdir, pageSize, compress)
assert.NoError(t, err)
// Write a bunch of data.
for i := 0; i < segments; i++ {
for j := 0; j < seriesCount; j++ {
ref := j + (i * 100)
series := enc.Series([]record.RefSeries{
{
Ref: uint64(ref),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", j)}},
},
}, nil)
assert.NoError(t, w.Log(series))
for k := 0; k < samplesCount; k++ {
inner := rand.Intn(ref + 1)
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(inner),
T: int64(i),
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
}
assert.NoError(t, w.Close())
// At this point we should have at least 6 segments, lets create a checkpoint dir of the first 5.
checkpointDir := dir + "/wal/checkpoint.000004"
err = os.Mkdir(checkpointDir, 0777)
assert.NoError(t, err)
for i := 0; i <= 4; i++ {
err := os.Rename(SegmentName(dir+"/wal", i), SegmentName(checkpointDir, i))
assert.NoError(t, err)
}
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
watcher.MaxSegment = -1
// Set the Watcher's metrics so they're not nil pointers.
watcher.setMetrics()
lastCheckpoint, _, err := LastCheckpoint(watcher.walDir)
assert.NoError(t, err)
err = watcher.readCheckpoint(lastCheckpoint)
assert.NoError(t, err)
})
}
}
func TestCheckpointSeriesReset(t *testing.T) {
segmentSize := 32 * 1024
// We need something similar to this # of series and samples
// in order to get enough segments for us to checkpoint.
const seriesCount = 20
const samplesCount = 350
testCases := []struct {
compress bool
segments int
}{
{compress: false, segments: 14},
{compress: true, segments: 13},
Tail the TSDB WAL for remote_write This change switches the remote_write API to use the TSDB WAL. This should reduce memory usage and prevent sample loss when the remote end point is down. We use the new LiveReader from TSDB to tail WAL segments. Logic for finding the tracking segment is included in this PR. The WAL is tailed once for each remote_write endpoint specified. Reading from the segment is based on a ticker rather than relying on fsnotify write events, which were found to be complicated and unreliable in early prototypes. Enqueuing a sample for sending via remote_write can now block, to provide back pressure. Queues are still required to acheive parallelism and batching. We have updated the queue config based on new defaults for queue capacity and pending samples values - much smaller values are now possible. The remote_write resharding code has been updated to prevent deadlocks, and extra tests have been added for these cases. As part of this change, we attempt to guarantee that samples are not lost; however this initial version doesn't guarantee this across Prometheus restarts or non-retryable errors from the remote end (eg 400s). This changes also includes the following optimisations: - only marshal the proto request once, not once per retry - maintain a single copy of the labels for given series to reduce GC pressure Other minor tweaks: - only reshard if we've also successfully sent recently - add pending samples, latest sent timestamp, WAL events processed metrics Co-authored-by: Chris Marchbanks <csmarchbanks.com> (initial prototype) Co-authored-by: Tom Wilkie <tom.wilkie@gmail.com> (sharding changes) Signed-off-by: Callum Styan <callumstyan@gmail.com>
2018-09-07 14:26:04 -07:00
}
for _, tc := range testCases {
t.Run(fmt.Sprintf("compress=%t", tc.compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "seriesReset")
assert.NoError(t, err)
defer func() {
assert.NoError(t, os.RemoveAll(dir))
}()
wdir := path.Join(dir, "wal")
err = os.Mkdir(wdir, 0777)
assert.NoError(t, err)
enc := record.Encoder{}
w, err := NewSize(nil, nil, wdir, segmentSize, tc.compress)
assert.NoError(t, err)
defer func() {
assert.NoError(t, w.Close())
}()
// Write to the initial segment, then checkpoint later.
for i := 0; i < seriesCount; i++ {
ref := i + 100
series := enc.Series([]record.RefSeries{
{
Ref: uint64(ref),
Labels: labels.Labels{labels.Label{Name: "__name__", Value: fmt.Sprintf("metric_%d", i)}},
},
}, nil)
assert.NoError(t, w.Log(series))
for j := 0; j < samplesCount; j++ {
inner := rand.Intn(ref + 1)
sample := enc.Samples([]record.RefSample{
{
Ref: uint64(inner),
T: int64(i),
V: float64(i),
},
}, nil)
assert.NoError(t, w.Log(sample))
}
}
_, _, err = Segments(w.Dir())
assert.NoError(t, err)
wt := newWriteToMock()
watcher := NewWatcher(wMetrics, nil, nil, "", wt, dir)
watcher.MaxSegment = -1
go watcher.Start()
expected := seriesCount
retry(t, defaultRetryInterval, defaultRetries, func() bool {
return wt.checkNumLabels() >= expected
})
assert.Equal(t, seriesCount, wt.checkNumLabels())
_, err = Checkpoint(log.NewNopLogger(), w, 2, 4, func(x uint64) bool { return true }, 0)
assert.NoError(t, err)
err = w.Truncate(5)
assert.NoError(t, err)
_, cpi, err := LastCheckpoint(path.Join(dir, "wal"))
assert.NoError(t, err)
err = watcher.garbageCollectSeries(cpi + 1)
assert.NoError(t, err)
watcher.Stop()
// If you modify the checkpoint and truncate segment #'s run the test to see how
// many series records you end up with and change the last Equals check accordingly
// or modify the Equals to Assert(len(wt.seriesLabels) < seriesCount*10)
assert.Equal(t, tc.segments, wt.checkNumLabels())
})
}
}