VictoriaMetrics/lib/storage/storage_test.go
Artem Fetishev a5424e95b3
lib/storage: adds metrics that count records that failed to insert
### Describe Your Changes

Add storage metrics that count records that failed to insert:

- `RowsReceivedTotal`: the number of records that have been received by
the storage from the clients
- `RowsAddedTotal`: the number of records that have actually been
persisted. This value must be equal to `RowsReceivedTotal` if all the
records have been valid ones. But it will be smaller otherwise. The
values of the metrics below should provide the insight of why some
records hasn't been added
-   `NaNValueRows`: the number of records whose value was `NaN`
- `StaleNaNValueRows`: the number of records whose value was `Stale NaN`
- `InvalidRawMetricNames`: the number of records whose raw metric name
has failed to unmarshal.

The following metrics existed before this PR and are listed here for
completeness:

- `TooSmallTimestampRows`: the number of records whose timestamp is
negative or is older than retention period
- `TooBigTimestampRows`: the number of records whose timestamp is too
far in the future.
- `HourlySeriesLimitRowsDropped`: the number of records that have not
been added because the hourly series limit has been exceeded.
- `DailySeriesLimitRowsDropped`: the number of records that have not
been added because the daily series limit has been exceeded.

---
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
2024-09-06 17:57:21 +02:00

2073 lines
64 KiB
Go

package storage
import (
"fmt"
"math"
"math/rand"
"os"
"path/filepath"
"reflect"
"sort"
"sync"
"testing"
"testing/quick"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
)
func TestReplaceAlternateRegexpsWithGraphiteWildcards(t *testing.T) {
f := func(q, resultExpected string) {
t.Helper()
result := replaceAlternateRegexpsWithGraphiteWildcards([]byte(q))
if string(result) != resultExpected {
t.Fatalf("unexpected result for %s\ngot\n%s\nwant\n%s", q, result, resultExpected)
}
}
f("", "")
f("foo", "foo")
f("foo(bar", "foo(bar")
f("foo.(bar|baz", "foo.(bar|baz")
f("foo.(bar).x", "foo.{bar}.x")
f("foo.(bar|baz).*.{x,y}", "foo.{bar,baz}.*.{x,y}")
f("foo.(bar|baz).*.{x,y}(z|aa)", "foo.{bar,baz}.*.{x,y}{z,aa}")
f("foo(.*)", "foo*")
}
func TestGetRegexpForGraphiteNodeQuery(t *testing.T) {
f := func(q, expectedRegexp string) {
t.Helper()
re, err := getRegexpForGraphiteQuery(q)
if err != nil {
t.Fatalf("unexpected error for query=%q: %s", q, err)
}
reStr := re.String()
if reStr != expectedRegexp {
t.Fatalf("unexpected regexp for query %q; got %q want %q", q, reStr, expectedRegexp)
}
}
f(``, `^$`)
f(`*`, `^[^.]*$`)
f(`foo.`, `^foo\.$`)
f(`foo.bar`, `^foo\.bar$`)
f(`{foo,b*ar,b[a-z]}`, `^(?:foo|b[^.]*ar|b[a-z])$`)
f(`[-a-zx.]`, `^[-a-zx.]$`)
f(`**`, `^[^.]*[^.]*$`)
f(`a*[de]{x,y}z`, `^a[^.]*[de](?:x|y)z$`)
f(`foo{bar`, `^foo\{bar$`)
f(`foo{ba,r`, `^foo\{ba,r$`)
f(`foo[bar`, `^foo\[bar$`)
f(`foo{bar}`, `^foobar$`)
f(`foo{bar,,b{{a,b*},z},[x-y]*z}a`, `^foo(?:bar||b(?:(?:a|b[^.]*)|z)|[x-y][^.]*z)a$`)
}
func TestDateMetricIDCacheSerial(t *testing.T) {
c := newDateMetricIDCache()
if err := testDateMetricIDCache(c, false); err != nil {
t.Fatalf("unexpected error: %s", err)
}
}
func TestDateMetricIDCacheConcurrent(t *testing.T) {
c := newDateMetricIDCache()
ch := make(chan error, 5)
for i := 0; i < 5; i++ {
go func() {
ch <- testDateMetricIDCache(c, true)
}()
}
for i := 0; i < 5; i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(time.Second * 5):
t.Fatalf("timeout")
}
}
}
func testDateMetricIDCache(c *dateMetricIDCache, concurrent bool) error {
type dmk struct {
generation uint64
date uint64
metricID uint64
}
m := make(map[dmk]bool)
for i := 0; i < 1e5; i++ {
generation := uint64(i) % 2
date := uint64(i) % 2
metricID := uint64(i) % 1237
if !concurrent && c.Has(generation, date, metricID) {
if !m[dmk{generation, date, metricID}] {
return fmt.Errorf("c.Has(%d, %d, %d) must return false, but returned true", generation, date, metricID)
}
continue
}
c.Set(generation, date, metricID)
m[dmk{generation, date, metricID}] = true
if !concurrent && !c.Has(generation, date, metricID) {
return fmt.Errorf("c.Has(%d, %d, %d) must return true, but returned false", generation, date, metricID)
}
if i%11234 == 0 {
c.mu.Lock()
c.syncLocked()
c.mu.Unlock()
}
if i%34323 == 0 {
c.mu.Lock()
c.resetLocked()
c.mu.Unlock()
m = make(map[dmk]bool)
}
}
// Verify fast path after sync.
for i := 0; i < 1e5; i++ {
generation := uint64(i) % 2
date := uint64(i) % 2
metricID := uint64(i) % 123
c.Set(generation, date, metricID)
}
c.mu.Lock()
c.syncLocked()
c.mu.Unlock()
for i := 0; i < 1e5; i++ {
generation := uint64(i) % 2
date := uint64(i) % 2
metricID := uint64(i) % 123
if !concurrent && !c.Has(generation, date, metricID) {
return fmt.Errorf("c.Has(%d, %d, %d) must return true after sync", generation, date, metricID)
}
}
// Verify c.Reset
if n := c.EntriesCount(); !concurrent && n < 123 {
return fmt.Errorf("c.EntriesCount must return at least 123; returned %d", n)
}
c.mu.Lock()
c.resetLocked()
c.mu.Unlock()
if n := c.EntriesCount(); !concurrent && n > 0 {
return fmt.Errorf("c.EntriesCount must return 0 after reset; returned %d", n)
}
return nil
}
func TestDateMetricIDCacheIsConsistent(_ *testing.T) {
const (
generation = 1
date = 1
concurrency = 2
numMetrics = 100000
)
dmc := newDateMetricIDCache()
var wg sync.WaitGroup
for i := range concurrency {
wg.Add(1)
go func() {
defer wg.Done()
for id := uint64(i * numMetrics); id < uint64((i+1)*numMetrics); id++ {
dmc.Set(generation, date, id)
if !dmc.Has(generation, date, id) {
panic(fmt.Errorf("dmc.Has(metricID=%d): unexpected cache miss after adding the entry to cache", id))
}
}
}()
}
wg.Wait()
}
func TestUpdateCurrHourMetricIDs(t *testing.T) {
newStorage := func() *Storage {
var s Storage
s.currHourMetricIDs.Store(&hourMetricIDs{})
s.prevHourMetricIDs.Store(&hourMetricIDs{})
s.pendingHourEntries = &uint64set.Set{}
return &s
}
t.Run("empty_pending_metric_ids_stale_curr_hour", func(t *testing.T) {
s := newStorage()
hour := fasttime.UnixHour()
if hour%24 == 0 {
hour++
}
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour - 1,
}
hmOrig.m.Add(12)
hmOrig.m.Add(34)
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
if hmCurr.m.Len() != 0 {
t.Fatalf("unexpected length of hm.m; got %d; want %d", hmCurr.m.Len(), 0)
}
hmPrev := s.prevHourMetricIDs.Load()
if !reflect.DeepEqual(hmPrev, hmOrig) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmOrig)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
t.Run("empty_pending_metric_ids_valid_curr_hour", func(t *testing.T) {
s := newStorage()
hour := fasttime.UnixHour()
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour,
}
hmOrig.m.Add(12)
hmOrig.m.Add(34)
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
if !reflect.DeepEqual(hmCurr, hmOrig) {
t.Fatalf("unexpected hmCurr; got %v; want %v", hmCurr, hmOrig)
}
hmPrev := s.prevHourMetricIDs.Load()
hmEmpty := &hourMetricIDs{}
if !reflect.DeepEqual(hmPrev, hmEmpty) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmEmpty)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
t.Run("nonempty_pending_metric_ids_stale_curr_hour", func(t *testing.T) {
s := newStorage()
pendingHourEntries := &uint64set.Set{}
pendingHourEntries.Add(343)
pendingHourEntries.Add(32424)
pendingHourEntries.Add(8293432)
s.pendingHourEntries = pendingHourEntries
hour := fasttime.UnixHour()
if hour%24 == 0 {
hour++
}
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour - 1,
}
hmOrig.m.Add(12)
hmOrig.m.Add(34)
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
if !hmCurr.m.Equal(pendingHourEntries) {
t.Fatalf("unexpected hmCurr.m; got %v; want %v", hmCurr.m, pendingHourEntries)
}
hmPrev := s.prevHourMetricIDs.Load()
if !reflect.DeepEqual(hmPrev, hmOrig) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmOrig)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
t.Run("nonempty_pending_metric_ids_valid_curr_hour", func(t *testing.T) {
s := newStorage()
pendingHourEntries := &uint64set.Set{}
pendingHourEntries.Add(343)
pendingHourEntries.Add(32424)
pendingHourEntries.Add(8293432)
s.pendingHourEntries = pendingHourEntries
hour := fasttime.UnixHour()
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour,
}
hmOrig.m.Add(12)
hmOrig.m.Add(34)
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
m := pendingHourEntries.Clone()
hmOrig.m.ForEach(func(part []uint64) bool {
for _, metricID := range part {
m.Add(metricID)
}
return true
})
if !hmCurr.m.Equal(m) {
t.Fatalf("unexpected hm.m; got %v; want %v", hmCurr.m, m)
}
hmPrev := s.prevHourMetricIDs.Load()
hmEmpty := &hourMetricIDs{}
if !reflect.DeepEqual(hmPrev, hmEmpty) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmEmpty)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
t.Run("nonempty_pending_metric_ids_valid_curr_hour_start_of_day", func(t *testing.T) {
s := newStorage()
pendingHourEntries := &uint64set.Set{}
pendingHourEntries.Add(343)
pendingHourEntries.Add(32424)
pendingHourEntries.Add(8293432)
s.pendingHourEntries = pendingHourEntries
hour := fasttime.UnixHour()
hour -= hour % 24
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour,
}
hmOrig.m.Add(12)
hmOrig.m.Add(34)
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
m := pendingHourEntries.Clone()
hmOrig.m.ForEach(func(part []uint64) bool {
for _, metricID := range part {
m.Add(metricID)
}
return true
})
if !hmCurr.m.Equal(m) {
t.Fatalf("unexpected hm.m; got %v; want %v", hmCurr.m, m)
}
hmPrev := s.prevHourMetricIDs.Load()
hmEmpty := &hourMetricIDs{}
if !reflect.DeepEqual(hmPrev, hmEmpty) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmEmpty)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
t.Run("nonempty_pending_metric_ids_from_previous_hour_new_day", func(t *testing.T) {
s := newStorage()
hour := fasttime.UnixHour()
hour -= hour % 24
pendingHourEntries := &uint64set.Set{}
pendingHourEntries.Add(343)
pendingHourEntries.Add(32424)
pendingHourEntries.Add(8293432)
s.pendingHourEntries = pendingHourEntries
hmOrig := &hourMetricIDs{
m: &uint64set.Set{},
hour: hour - 1,
}
s.currHourMetricIDs.Store(hmOrig)
s.updateCurrHourMetricIDs(hour)
hmCurr := s.currHourMetricIDs.Load()
if hmCurr.hour != hour {
t.Fatalf("unexpected hmCurr.hour; got %d; want %d", hmCurr.hour, hour)
}
if hmCurr.m.Len() != 0 {
t.Fatalf("unexpected non-empty hmCurr.m; got %v", hmCurr.m.AppendTo(nil))
}
hmPrev := s.prevHourMetricIDs.Load()
if !reflect.DeepEqual(hmPrev, hmOrig) {
t.Fatalf("unexpected hmPrev; got %v; want %v", hmPrev, hmOrig)
}
if s.pendingHourEntries.Len() != 0 {
t.Fatalf("unexpected s.pendingHourEntries.Len(); got %d; want %d", s.pendingHourEntries.Len(), 0)
}
})
}
func TestMetricRowMarshalUnmarshal(t *testing.T) {
var buf []byte
typ := reflect.TypeOf(&MetricRow{})
rng := rand.New(rand.NewSource(1))
for i := 0; i < 1000; i++ {
v, ok := quick.Value(typ, rng)
if !ok {
t.Fatalf("cannot create random MetricRow via quick.Value")
}
mr1 := v.Interface().(*MetricRow)
if mr1 == nil {
continue
}
buf = mr1.Marshal(buf[:0])
var mr2 MetricRow
tail, err := mr2.UnmarshalX(buf)
if err != nil {
t.Fatalf("cannot unmarshal mr1=%s: %s", mr1, err)
}
if len(tail) > 0 {
t.Fatalf("non-empty tail returned after MetricRow.Unmarshal for mr1=%s", mr1)
}
if mr1.MetricNameRaw == nil {
mr1.MetricNameRaw = []byte{}
}
if mr2.MetricNameRaw == nil {
mr2.MetricNameRaw = []byte{}
}
if !reflect.DeepEqual(mr1, &mr2) {
t.Fatalf("mr1 should match mr2; got\nmr1=%s\nmr2=%s", mr1, &mr2)
}
}
}
func TestNextRetentionDeadlineSeconds(t *testing.T) {
f := func(currentTime string, retention, offset time.Duration, deadlineExpected string) {
t.Helper()
now, err := time.Parse(time.RFC3339, currentTime)
if err != nil {
t.Fatalf("cannot parse currentTime=%q: %s", currentTime, err)
}
d := nextRetentionDeadlineSeconds(now.Unix(), int64(retention.Seconds()), int64(offset.Seconds()))
deadline := time.Unix(d, 0).UTC().Format(time.RFC3339)
if deadline != deadlineExpected {
t.Fatalf("unexpected deadline; got %s; want %s", deadline, deadlineExpected)
}
}
f("2023-07-22T12:44:35Z", 24*time.Hour, 0, "2023-07-23T04:00:00Z")
f("2023-07-22T03:44:35Z", 24*time.Hour, 0, "2023-07-22T04:00:00Z")
f("2023-07-22T04:44:35Z", 24*time.Hour, 0, "2023-07-23T04:00:00Z")
f("2023-07-22T23:44:35Z", 24*time.Hour, 0, "2023-07-23T04:00:00Z")
f("2023-07-23T03:59:35Z", 24*time.Hour, 0, "2023-07-23T04:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, 2*time.Hour, "2023-07-23T02:00:00Z")
f("2023-07-22T01:44:35Z", 24*time.Hour, 2*time.Hour, "2023-07-22T02:00:00Z")
f("2023-07-22T02:44:35Z", 24*time.Hour, 2*time.Hour, "2023-07-23T02:00:00Z")
f("2023-07-22T23:44:35Z", 24*time.Hour, 2*time.Hour, "2023-07-23T02:00:00Z")
f("2023-07-23T01:59:35Z", 24*time.Hour, 2*time.Hour, "2023-07-23T02:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, -5*time.Hour, "2023-07-23T09:00:00Z")
f("2023-07-22T08:44:35Z", 24*time.Hour, -5*time.Hour, "2023-07-22T09:00:00Z")
f("2023-07-22T09:44:35Z", 24*time.Hour, -5*time.Hour, "2023-07-23T09:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, -12*time.Hour, "2023-07-22T16:00:00Z")
f("2023-07-22T15:44:35Z", 24*time.Hour, -12*time.Hour, "2023-07-22T16:00:00Z")
f("2023-07-22T16:44:35Z", 24*time.Hour, -12*time.Hour, "2023-07-23T16:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, -18*time.Hour, "2023-07-22T22:00:00Z")
f("2023-07-22T21:44:35Z", 24*time.Hour, -18*time.Hour, "2023-07-22T22:00:00Z")
f("2023-07-22T22:44:35Z", 24*time.Hour, -18*time.Hour, "2023-07-23T22:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, 18*time.Hour, "2023-07-23T10:00:00Z")
f("2023-07-22T09:44:35Z", 24*time.Hour, 18*time.Hour, "2023-07-22T10:00:00Z")
f("2023-07-22T10:44:35Z", 24*time.Hour, 18*time.Hour, "2023-07-23T10:00:00Z")
f("2023-07-22T12:44:35Z", 24*time.Hour, 37*time.Hour, "2023-07-22T15:00:00Z")
f("2023-07-22T14:44:35Z", 24*time.Hour, 37*time.Hour, "2023-07-22T15:00:00Z")
f("2023-07-22T15:44:35Z", 24*time.Hour, 37*time.Hour, "2023-07-23T15:00:00Z")
}
func TestStorageOpenClose(t *testing.T) {
path := "TestStorageOpenClose"
for i := 0; i < 10; i++ {
s := MustOpenStorage(path, -1, 1e5, 1e6)
s.MustClose()
}
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func TestStorageRandTimestamps(t *testing.T) {
path := "TestStorageRandTimestamps"
retention := 10 * retention31Days
s := MustOpenStorage(path, retention, 0, 0)
t.Run("serial", func(t *testing.T) {
for i := 0; i < 3; i++ {
if err := testStorageRandTimestamps(s); err != nil {
t.Fatalf("error on iteration %d: %s", i, err)
}
s.MustClose()
s = MustOpenStorage(path, retention, 0, 0)
}
})
t.Run("concurrent", func(t *testing.T) {
ch := make(chan error, 3)
for i := 0; i < cap(ch); i++ {
go func() {
var err error
for i := 0; i < 2; i++ {
err = testStorageRandTimestamps(s)
}
ch <- err
}()
}
tt := time.NewTimer(time.Second * 10)
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("error on iteration %d: %s", i, err)
}
case <-tt.C:
t.Fatalf("timeout on iteration %d", i)
}
}
})
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func testStorageRandTimestamps(s *Storage) error {
currentTime := timestampFromTime(time.Now())
const rowsPerAdd = 5e3
const addsCount = 3
rng := rand.New(rand.NewSource(1))
for i := 0; i < addsCount; i++ {
var mrs []MetricRow
var mn MetricName
mn.Tags = []Tag{
{[]byte("job"), []byte("webservice")},
{[]byte("instance"), []byte("1.2.3.4")},
}
for j := 0; j < rowsPerAdd; j++ {
mn.MetricGroup = []byte(fmt.Sprintf("metric_%d", rng.Intn(100)))
metricNameRaw := mn.marshalRaw(nil)
timestamp := currentTime - int64((rng.Float64()-0.2)*float64(2*s.retentionMsecs))
value := rng.NormFloat64() * 1e11
mr := MetricRow{
MetricNameRaw: metricNameRaw,
Timestamp: timestamp,
Value: value,
}
mrs = append(mrs, mr)
}
s.AddRows(mrs, defaultPrecisionBits)
}
// Verify the storage contains rows.
var m Metrics
s.UpdateMetrics(&m)
if rowsCount := m.TableMetrics.TotalRowsCount(); rowsCount == 0 {
return fmt.Errorf("expecting at least one row in storage")
}
return nil
}
func TestStorageDeleteSeries(t *testing.T) {
path := "TestStorageDeleteSeries"
s := MustOpenStorage(path, 0, 0, 0)
// Verify no label names exist
lns, err := s.SearchLabelNamesWithFiltersOnTimeRange(nil, nil, TimeRange{}, 1e5, 1e9, noDeadline)
if err != nil {
t.Fatalf("error in SearchLabelNamesWithFiltersOnTimeRange() at the start: %s", err)
}
if len(lns) != 0 {
t.Fatalf("found non-empty tag keys at the start: %q", lns)
}
t.Run("serial", func(t *testing.T) {
for i := 0; i < 3; i++ {
if err = testStorageDeleteSeries(s, 0); err != nil {
t.Fatalf("unexpected error on iteration %d: %s", i, err)
}
// Re-open the storage in order to check how deleted metricIDs
// are persisted.
s.MustClose()
s = MustOpenStorage(path, 0, 0, 0)
}
})
t.Run("concurrent", func(t *testing.T) {
ch := make(chan error, 3)
for i := 0; i < cap(ch); i++ {
go func(workerNum int) {
var err error
for j := 0; j < 2; j++ {
err = testStorageDeleteSeries(s, workerNum)
if err != nil {
break
}
}
ch <- err
}(i)
}
tt := time.NewTimer(30 * time.Second)
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error on iteration %d: %s", i, err)
}
case <-tt.C:
t.Fatalf("timeout on iteration %d", i)
}
}
})
// Verify no more tag keys exist
lns, err = s.SearchLabelNamesWithFiltersOnTimeRange(nil, nil, TimeRange{}, 1e5, 1e9, noDeadline)
if err != nil {
t.Fatalf("error in SearchLabelNamesWithFiltersOnTimeRange after the test: %s", err)
}
if len(lns) != 0 {
t.Fatalf("found non-empty tag keys after the test: %q", lns)
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func testStorageDeleteSeries(s *Storage, workerNum int) error {
rng := rand.New(rand.NewSource(1))
const rowsPerMetric = 100
const metricsCount = 30
workerTag := []byte(fmt.Sprintf("workerTag_%d", workerNum))
lnsAll := make(map[string]bool)
lnsAll["__name__"] = true
for i := 0; i < metricsCount; i++ {
var mrs []MetricRow
var mn MetricName
job := fmt.Sprintf("job_%d_%d", i, workerNum)
instance := fmt.Sprintf("instance_%d_%d", i, workerNum)
mn.Tags = []Tag{
{[]byte("job"), []byte(job)},
{[]byte("instance"), []byte(instance)},
{workerTag, []byte("foobar")},
}
for i := range mn.Tags {
lnsAll[string(mn.Tags[i].Key)] = true
}
mn.MetricGroup = []byte(fmt.Sprintf("metric_%d_%d", i, workerNum))
metricNameRaw := mn.marshalRaw(nil)
for j := 0; j < rowsPerMetric; j++ {
timestamp := rng.Int63n(1e10)
value := rng.NormFloat64() * 1e6
mr := MetricRow{
MetricNameRaw: metricNameRaw,
Timestamp: timestamp,
Value: value,
}
mrs = append(mrs, mr)
}
s.AddRows(mrs, defaultPrecisionBits)
}
s.DebugFlush()
// Verify tag values exist
tvs, err := s.SearchLabelValuesWithFiltersOnTimeRange(nil, string(workerTag), nil, TimeRange{}, 1e5, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelValuesWithFiltersOnTimeRange before metrics removal: %w", err)
}
if len(tvs) == 0 {
return fmt.Errorf("unexpected empty number of tag values for workerTag")
}
// Verify tag keys exist
lns, err := s.SearchLabelNamesWithFiltersOnTimeRange(nil, nil, TimeRange{}, 1e5, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelNamesWithFiltersOnTimeRange before metrics removal: %w", err)
}
if err := checkLabelNames(lns, lnsAll); err != nil {
return fmt.Errorf("unexpected label names before metrics removal: %w", err)
}
var sr Search
tr := TimeRange{
MinTimestamp: 0,
MaxTimestamp: 2e10,
}
metricBlocksCount := func(tfs *TagFilters) int {
// Verify the number of blocks
n := 0
sr.Init(nil, s, []*TagFilters{tfs}, tr, 1e5, noDeadline)
for sr.NextMetricBlock() {
n++
}
sr.MustClose()
return n
}
for i := 0; i < metricsCount; i++ {
tfs := NewTagFilters()
if err := tfs.Add(nil, []byte("metric_.+"), false, true); err != nil {
return fmt.Errorf("cannot add regexp tag filter: %w", err)
}
job := fmt.Sprintf("job_%d_%d", i, workerNum)
if err := tfs.Add([]byte("job"), []byte(job), false, false); err != nil {
return fmt.Errorf("cannot add job tag filter: %w", err)
}
if n := metricBlocksCount(tfs); n == 0 {
return fmt.Errorf("expecting non-zero number of metric blocks for tfs=%s", tfs)
}
deletedCount, err := s.DeleteSeries(nil, []*TagFilters{tfs})
if err != nil {
return fmt.Errorf("cannot delete metrics: %w", err)
}
if deletedCount == 0 {
return fmt.Errorf("expecting non-zero number of deleted metrics on iteration %d", i)
}
if n := metricBlocksCount(tfs); n != 0 {
return fmt.Errorf("expecting zero metric blocks after DeleteSeries call for tfs=%s; got %d blocks", tfs, n)
}
// Try deleting empty tfss
deletedCount, err = s.DeleteSeries(nil, nil)
if err != nil {
return fmt.Errorf("cannot delete empty tfss: %w", err)
}
if deletedCount != 0 {
return fmt.Errorf("expecting zero deleted metrics for empty tfss; got %d", deletedCount)
}
}
// Make sure no more metrics left for the given workerNum
tfs := NewTagFilters()
if err := tfs.Add(nil, []byte(fmt.Sprintf("metric_.+_%d", workerNum)), false, true); err != nil {
return fmt.Errorf("cannot add regexp tag filter for worker metrics: %w", err)
}
if n := metricBlocksCount(tfs); n != 0 {
return fmt.Errorf("expecting zero metric blocks after deleting all the metrics; got %d blocks", n)
}
tvs, err = s.SearchLabelValuesWithFiltersOnTimeRange(nil, string(workerTag), nil, TimeRange{}, 1e5, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelValuesWithFiltersOnTimeRange after all the metrics are removed: %w", err)
}
if len(tvs) != 0 {
return fmt.Errorf("found non-empty tag values for %q after metrics removal: %q", workerTag, tvs)
}
return nil
}
func checkLabelNames(lns []string, lnsExpected map[string]bool) error {
if len(lns) < len(lnsExpected) {
return fmt.Errorf("unexpected number of label names found; got %d; want at least %d; lns=%q, lnsExpected=%v", len(lns), len(lnsExpected), lns, lnsExpected)
}
hasItem := func(s string, lns []string) bool {
for _, labelName := range lns {
if s == labelName {
return true
}
}
return false
}
for labelName := range lnsExpected {
if !hasItem(labelName, lns) {
return fmt.Errorf("cannot find %q in label names %q", labelName, lns)
}
}
return nil
}
func TestStorageRegisterMetricNamesSerial(t *testing.T) {
path := "TestStorageRegisterMetricNamesSerial"
s := MustOpenStorage(path, 0, 0, 0)
if err := testStorageRegisterMetricNames(s); err != nil {
t.Fatalf("unexpected error: %s", err)
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func TestStorageRegisterMetricNamesConcurrent(t *testing.T) {
path := "TestStorageRegisterMetricNamesConcurrent"
s := MustOpenStorage(path, 0, 0, 0)
ch := make(chan error, 3)
for i := 0; i < cap(ch); i++ {
go func() {
ch <- testStorageRegisterMetricNames(s)
}()
}
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(10 * time.Second):
t.Fatalf("timeout")
}
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func testStorageRegisterMetricNames(s *Storage) error {
const metricsPerAdd = 1e3
const addsCount = 10
addIDsMap := make(map[string]struct{})
for i := 0; i < addsCount; i++ {
var mrs []MetricRow
var mn MetricName
addID := fmt.Sprintf("%d", i)
addIDsMap[addID] = struct{}{}
mn.Tags = []Tag{
{[]byte("job"), []byte("webservice")},
{[]byte("instance"), []byte("1.2.3.4")},
{[]byte("add_id"), []byte(addID)},
}
now := timestampFromTime(time.Now())
for j := 0; j < metricsPerAdd; j++ {
mn.MetricGroup = []byte(fmt.Sprintf("metric_%d", j))
metricNameRaw := mn.marshalRaw(nil)
mr := MetricRow{
MetricNameRaw: metricNameRaw,
Timestamp: now,
}
mrs = append(mrs, mr)
}
s.RegisterMetricNames(nil, mrs)
}
var addIDsExpected []string
for k := range addIDsMap {
addIDsExpected = append(addIDsExpected, k)
}
sort.Strings(addIDsExpected)
// Verify the storage contains the added metric names.
s.DebugFlush()
// Verify that SearchLabelNamesWithFiltersOnTimeRange returns correct result.
lnsExpected := []string{
"__name__",
"add_id",
"instance",
"job",
}
lns, err := s.SearchLabelNamesWithFiltersOnTimeRange(nil, nil, TimeRange{}, 100, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelNamesWithFiltersOnTimeRange: %w", err)
}
sort.Strings(lns)
if !reflect.DeepEqual(lns, lnsExpected) {
return fmt.Errorf("unexpected label names returned from SearchLabelNamesWithFiltersOnTimeRange;\ngot\n%q\nwant\n%q", lns, lnsExpected)
}
// Verify that SearchLabelNamesWithFiltersOnTimeRange with the specified time range returns correct result.
now := timestampFromTime(time.Now())
start := now - msecPerDay
end := now + 60*1000
tr := TimeRange{
MinTimestamp: start,
MaxTimestamp: end,
}
lns, err = s.SearchLabelNamesWithFiltersOnTimeRange(nil, nil, tr, 100, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelNamesWithFiltersOnTimeRange: %w", err)
}
sort.Strings(lns)
if !reflect.DeepEqual(lns, lnsExpected) {
return fmt.Errorf("unexpected label names returned from SearchLabelNamesWithFiltersOnTimeRange;\ngot\n%q\nwant\n%q", lns, lnsExpected)
}
// Verify that SearchLabelValuesWithFiltersOnTimeRange returns correct result.
addIDs, err := s.SearchLabelValuesWithFiltersOnTimeRange(nil, "add_id", nil, TimeRange{}, addsCount+100, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelValuesWithFiltersOnTimeRange: %w", err)
}
sort.Strings(addIDs)
if !reflect.DeepEqual(addIDs, addIDsExpected) {
return fmt.Errorf("unexpected tag values returned from SearchLabelValuesWithFiltersOnTimeRange;\ngot\n%q\nwant\n%q", addIDs, addIDsExpected)
}
// Verify that SearchLabelValuesWithFiltersOnTimeRange with the specified time range returns correct result.
addIDs, err = s.SearchLabelValuesWithFiltersOnTimeRange(nil, "add_id", nil, tr, addsCount+100, 1e9, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchLabelValuesWithFiltersOnTimeRange: %w", err)
}
sort.Strings(addIDs)
if !reflect.DeepEqual(addIDs, addIDsExpected) {
return fmt.Errorf("unexpected tag values returned from SearchLabelValuesWithFiltersOnTimeRange;\ngot\n%q\nwant\n%q", addIDs, addIDsExpected)
}
// Verify that SearchMetricNames returns correct result.
tfs := NewTagFilters()
if err := tfs.Add([]byte("add_id"), []byte("0"), false, false); err != nil {
return fmt.Errorf("unexpected error in TagFilters.Add: %w", err)
}
metricNames, err := s.SearchMetricNames(nil, []*TagFilters{tfs}, tr, metricsPerAdd*addsCount*100+100, noDeadline)
if err != nil {
return fmt.Errorf("error in SearchMetricNames: %w", err)
}
if len(metricNames) < metricsPerAdd {
return fmt.Errorf("unexpected number of metricNames returned from SearchMetricNames; got %d; want at least %d", len(metricNames), int(metricsPerAdd))
}
var mn MetricName
for i, metricName := range metricNames {
if err := mn.UnmarshalString(metricName); err != nil {
return fmt.Errorf("cannot unmarshal metricName=%q: %w", metricName, err)
}
addID := mn.GetTagValue("add_id")
if string(addID) != "0" {
return fmt.Errorf("unexpected addID for metricName #%d; got %q; want %q", i, addID, "0")
}
job := mn.GetTagValue("job")
if string(job) != "webservice" {
return fmt.Errorf("unexpected job for metricName #%d; got %q; want %q", i, job, "webservice")
}
}
return nil
}
func TestStorageAddRowsSerial(t *testing.T) {
rng := rand.New(rand.NewSource(1))
path := "TestStorageAddRowsSerial"
retention := 10 * retention31Days
s := MustOpenStorage(path, retention, 1e5, 1e5)
if err := testStorageAddRows(rng, s); err != nil {
t.Fatalf("unexpected error: %s", err)
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func TestStorageAddRowsConcurrent(t *testing.T) {
path := "TestStorageAddRowsConcurrent"
retention := 10 * retention31Days
s := MustOpenStorage(path, retention, 1e5, 1e5)
ch := make(chan error, 3)
for i := 0; i < cap(ch); i++ {
go func(n int) {
rLocal := rand.New(rand.NewSource(int64(n)))
ch <- testStorageAddRows(rLocal, s)
}(i)
}
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(10 * time.Second):
t.Fatalf("timeout")
}
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func testGenerateMetricRows(rng *rand.Rand, rows uint64, timestampMin, timestampMax int64) []MetricRow {
return testGenerateMetricRowsWithPrefix(rng, rows, "metric", TimeRange{timestampMin, timestampMax})
}
func testGenerateMetricRowsWithPrefix(rng *rand.Rand, rows uint64, prefix string, tr TimeRange) []MetricRow {
var mrs []MetricRow
var mn MetricName
mn.Tags = []Tag{
{[]byte("job"), []byte("webservice")},
{[]byte("instance"), []byte("1.2.3.4")},
}
for i := 0; i < int(rows); i++ {
mn.MetricGroup = []byte(fmt.Sprintf("%s_%d", prefix, i))
metricNameRaw := mn.marshalRaw(nil)
timestamp := rng.Int63n(tr.MaxTimestamp-tr.MinTimestamp) + tr.MinTimestamp
value := rng.NormFloat64() * 1e6
mr := MetricRow{
MetricNameRaw: metricNameRaw,
Timestamp: timestamp,
Value: value,
}
mrs = append(mrs, mr)
}
return mrs
}
func testStorageAddRows(rng *rand.Rand, s *Storage) error {
const rowsPerAdd = 1e3
const addsCount = 10
maxTimestamp := timestampFromTime(time.Now())
minTimestamp := maxTimestamp - s.retentionMsecs + 3600*1000
for i := 0; i < addsCount; i++ {
mrs := testGenerateMetricRows(rng, rowsPerAdd, minTimestamp, maxTimestamp)
s.AddRows(mrs, defaultPrecisionBits)
}
// Verify the storage contains rows.
minRowsExpected := uint64(rowsPerAdd * addsCount)
var m Metrics
s.UpdateMetrics(&m)
if rowsCount := m.TableMetrics.TotalRowsCount(); rowsCount < minRowsExpected {
return fmt.Errorf("expecting at least %d rows in the table; got %d", minRowsExpected, rowsCount)
}
// Try creating a snapshot from the storage.
snapshotName, err := s.CreateSnapshot()
if err != nil {
return fmt.Errorf("cannot create snapshot from the storage: %w", err)
}
// Verify the snapshot is visible
snapshots, err := s.ListSnapshots()
if err != nil {
return fmt.Errorf("cannot list snapshots: %w", err)
}
if !containsString(snapshots, snapshotName) {
return fmt.Errorf("cannot find snapshot %q in %q", snapshotName, snapshots)
}
// Try opening the storage from snapshot.
snapshotPath := filepath.Join(s.path, snapshotsDirname, snapshotName)
s1 := MustOpenStorage(snapshotPath, 0, 0, 0)
// Verify the snapshot contains rows
var m1 Metrics
s1.UpdateMetrics(&m1)
if rowsCount := m1.TableMetrics.TotalRowsCount(); rowsCount < minRowsExpected {
return fmt.Errorf("snapshot %q must contain at least %d rows; got %d", snapshotPath, minRowsExpected, rowsCount)
}
// Verify that force merge for the snapshot leaves at most a single part per partition.
// Zero parts are possible if the snapshot is created just after the partition has been created
// by concurrent goroutine, but it didn't put the data into it yet.
if err := s1.ForceMergePartitions(""); err != nil {
return fmt.Errorf("error when force merging partitions: %w", err)
}
ptws := s1.tb.GetPartitions(nil)
for _, ptw := range ptws {
pws := ptw.pt.GetParts(nil, true)
numParts := len(pws)
ptw.pt.PutParts(pws)
if numParts > 1 {
s1.tb.PutPartitions(ptws)
return fmt.Errorf("unexpected number of parts for partition %q after force merge; got %d; want at most 1", ptw.pt.name, numParts)
}
}
s1.tb.PutPartitions(ptws)
s1.MustClose()
// Delete the snapshot and make sure it is no longer visible.
if err := s.DeleteSnapshot(snapshotName); err != nil {
return fmt.Errorf("cannot delete snapshot %q: %w", snapshotName, err)
}
snapshots, err = s.ListSnapshots()
if err != nil {
return fmt.Errorf("cannot list snapshots: %w", err)
}
if containsString(snapshots, snapshotName) {
return fmt.Errorf("snapshot %q must be deleted, but is still visible in %q", snapshotName, snapshots)
}
return nil
}
func TestStorageRotateIndexDB(t *testing.T) {
path := "TestStorageRotateIndexDB"
s := MustOpenStorage(path, 0, 0, 0)
// Start indexDB rotater in a separate goroutine
stopCh := make(chan struct{})
rotateDoneCh := make(chan struct{})
go func() {
for {
select {
case <-stopCh:
close(rotateDoneCh)
return
default:
time.Sleep(time.Millisecond)
s.mustRotateIndexDB(time.Now())
}
}
}()
// Run concurrent workers that insert / select data from the storage.
ch := make(chan error, 3)
for i := 0; i < cap(ch); i++ {
go func(workerNum int) {
ch <- testStorageAddMetrics(s, workerNum)
}(i)
}
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(10 * time.Second):
t.Fatalf("timeout")
}
}
close(stopCh)
<-rotateDoneCh
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
func testStorageAddMetrics(s *Storage, workerNum int) error {
rng := rand.New(rand.NewSource(1))
const rowsCount = 1e3
var mn MetricName
mn.Tags = []Tag{
{[]byte("job"), []byte(fmt.Sprintf("webservice_%d", workerNum))},
{[]byte("instance"), []byte("1.2.3.4")},
}
for i := 0; i < rowsCount; i++ {
mn.MetricGroup = []byte(fmt.Sprintf("metric_%d_%d", workerNum, rng.Intn(10)))
metricNameRaw := mn.marshalRaw(nil)
timestamp := rng.Int63n(1e10)
value := rng.NormFloat64() * 1e6
mr := MetricRow{
MetricNameRaw: metricNameRaw,
Timestamp: timestamp,
Value: value,
}
s.AddRows([]MetricRow{mr}, defaultPrecisionBits)
}
// Verify the storage contains rows.
minRowsExpected := uint64(rowsCount)
var m Metrics
s.UpdateMetrics(&m)
if rowsCount := m.TableMetrics.TotalRowsCount(); rowsCount < minRowsExpected {
return fmt.Errorf("expecting at least %d rows in the table; got %d", minRowsExpected, rowsCount)
}
return nil
}
func TestStorageDeleteStaleSnapshots(t *testing.T) {
rng := rand.New(rand.NewSource(1))
path := "TestStorageDeleteStaleSnapshots"
retention := 10 * retention31Days
s := MustOpenStorage(path, retention, 1e5, 1e5)
const rowsPerAdd = 1e3
const addsCount = 10
maxTimestamp := timestampFromTime(time.Now())
minTimestamp := maxTimestamp - s.retentionMsecs
for i := 0; i < addsCount; i++ {
mrs := testGenerateMetricRows(rng, rowsPerAdd, minTimestamp, maxTimestamp)
s.AddRows(mrs, defaultPrecisionBits)
}
// Try creating a snapshot from the storage.
snapshotName, err := s.CreateSnapshot()
if err != nil {
t.Fatalf("cannot create snapshot from the storage: %s", err)
}
// Delete snapshots older than 1 month
if err := s.DeleteStaleSnapshots(30 * 24 * time.Hour); err != nil {
t.Fatalf("error in DeleteStaleSnapshots(1 month): %s", err)
}
snapshots, err := s.ListSnapshots()
if err != nil {
t.Fatalf("cannot list snapshots: %s", err)
}
if len(snapshots) != 1 {
t.Fatalf("expecting one snapshot; got %q", snapshots)
}
if snapshots[0] != snapshotName {
t.Fatalf("snapshot %q is missing in %q", snapshotName, snapshots)
}
// Delete the snapshot which is older than 1 nanoseconds
time.Sleep(2 * time.Nanosecond)
if err := s.DeleteStaleSnapshots(time.Nanosecond); err != nil {
t.Fatalf("cannot delete snapshot %q: %s", snapshotName, err)
}
snapshots, err = s.ListSnapshots()
if err != nil {
t.Fatalf("cannot list snapshots: %s", err)
}
if len(snapshots) != 0 {
t.Fatalf("expecting zero snapshots; got %q", snapshots)
}
s.MustClose()
if err := os.RemoveAll(path); err != nil {
t.Fatalf("cannot remove %q: %s", path, err)
}
}
// testRemoveAll removes all storage data produced by a test if the test hasn't
// failed. For this to work, the storage must use t.Name() as the base dir in
// its data path.
//
// In case of failure, the data is kept for further debugging.
func testRemoveAll(t *testing.T) {
defer func() {
if !t.Failed() {
fs.MustRemoveAll(t.Name())
}
}()
}
func TestStorageRowsNotAdded(t *testing.T) {
defer testRemoveAll(t)
type options struct {
name string
retention time.Duration
mrs []MetricRow
tr TimeRange
wantMetrics *Metrics
}
f := func(opts *options) {
t.Helper()
var gotMetrics Metrics
path := fmt.Sprintf("%s/%s", t.Name(), opts.name)
s := MustOpenStorage(path, opts.retention, 0, 0)
defer s.MustClose()
s.AddRows(opts.mrs, defaultPrecisionBits)
s.DebugFlush()
s.UpdateMetrics(&gotMetrics)
got := testCountAllMetricNames(s, opts.tr)
if got != 0 {
t.Fatalf("unexpected metric name count: got %d, want 0", got)
}
if got, want := gotMetrics.RowsReceivedTotal, opts.wantMetrics.RowsReceivedTotal; got != want {
t.Fatalf("unexpected Metrics.RowsReceivedTotal: got %d, want %d", got, want)
}
if got, want := gotMetrics.RowsAddedTotal, opts.wantMetrics.RowsAddedTotal; got != want {
t.Fatalf("unexpected Metrics.RowsAddedTotal: got %d, want %d", got, want)
}
if got, want := gotMetrics.NaNValueRows, opts.wantMetrics.NaNValueRows; got != want {
t.Fatalf("unexpected Metrics.NaNValueRows: got %d, want %d", got, want)
}
if got, want := gotMetrics.InvalidRawMetricNames, opts.wantMetrics.InvalidRawMetricNames; got != want {
t.Fatalf("unexpected Metrics.InvalidRawMetricNames: got %d, want %d", got, want)
}
}
const numRows = 1000
var (
rng = rand.New(rand.NewSource(1))
retention time.Duration
minTimestamp int64
maxTimestamp int64
mrs []MetricRow
)
minTimestamp = -1000
maxTimestamp = -1
f(&options{
name: "NegativeTimestamps",
retention: retentionMax,
mrs: testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp),
tr: TimeRange{minTimestamp, maxTimestamp},
wantMetrics: &Metrics{
RowsReceivedTotal: numRows,
TooSmallTimestampRows: numRows,
},
})
retention = 48 * time.Hour
minTimestamp = time.Now().Add(-retention - time.Hour).UnixMilli()
maxTimestamp = minTimestamp + 1000
f(&options{
name: "TooSmallTimestamps",
retention: retention,
mrs: testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp),
tr: TimeRange{minTimestamp, maxTimestamp},
wantMetrics: &Metrics{
RowsReceivedTotal: numRows,
TooSmallTimestampRows: numRows,
},
})
retention = 48 * time.Hour
minTimestamp = time.Now().Add(7 * 24 * time.Hour).UnixMilli()
maxTimestamp = minTimestamp + 1000
f(&options{
name: "TooBigTimestamps",
retention: retention,
mrs: testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp),
tr: TimeRange{minTimestamp, maxTimestamp},
wantMetrics: &Metrics{
RowsReceivedTotal: numRows,
TooBigTimestampRows: numRows,
},
})
minTimestamp = time.Now().UnixMilli()
maxTimestamp = minTimestamp + 1000
mrs = testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp)
for i := range numRows {
mrs[i].Value = math.NaN()
}
f(&options{
name: "NaN",
mrs: mrs,
tr: TimeRange{minTimestamp, maxTimestamp},
wantMetrics: &Metrics{
RowsReceivedTotal: numRows,
NaNValueRows: numRows,
},
})
minTimestamp = time.Now().UnixMilli()
maxTimestamp = minTimestamp + 1000
mrs = testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp)
for i := range numRows {
mrs[i].MetricNameRaw = []byte("garbage")
}
f(&options{
name: "InvalidMetricNameRaw",
mrs: mrs,
tr: TimeRange{minTimestamp, maxTimestamp},
wantMetrics: &Metrics{
RowsReceivedTotal: numRows,
InvalidRawMetricNames: numRows,
},
})
}
func TestStorageRowsNotAdded_SeriesLimitExceeded(t *testing.T) {
defer testRemoveAll(t)
f := func(name string, maxHourlySeries int, maxDailySeries int) {
t.Helper()
rng := rand.New(rand.NewSource(1))
numRows := uint64(1000)
minTimestamp := time.Now().UnixMilli()
maxTimestamp := minTimestamp + 1000
mrs := testGenerateMetricRows(rng, numRows, minTimestamp, maxTimestamp)
var gotMetrics Metrics
path := fmt.Sprintf("%s/%s", t.Name(), name)
s := MustOpenStorage(path, 0, maxHourlySeries, maxDailySeries)
defer s.MustClose()
s.AddRows(mrs, defaultPrecisionBits)
s.DebugFlush()
s.UpdateMetrics(&gotMetrics)
if got, want := gotMetrics.RowsReceivedTotal, numRows; got != want {
t.Fatalf("unexpected Metrics.RowsReceivedTotal: got %d, want %d", got, want)
}
if got := gotMetrics.HourlySeriesLimitRowsDropped; maxHourlySeries > 0 && got <= 0 {
t.Fatalf("unexpected Metrics.HourlySeriesLimitRowsDropped: got %d, want > 0", got)
}
if got := gotMetrics.DailySeriesLimitRowsDropped; maxDailySeries > 0 && got <= 0 {
t.Fatalf("unexpected Metrics.DailySeriesLimitRowsDropped: got %d, want > 0", got)
}
want := numRows - (gotMetrics.HourlySeriesLimitRowsDropped + gotMetrics.DailySeriesLimitRowsDropped)
if got := testCountAllMetricNames(s, TimeRange{minTimestamp, maxTimestamp}); uint64(got) != want {
t.Fatalf("unexpected metric name count: %d, want %d", got, want)
}
if got := gotMetrics.RowsAddedTotal; got != want {
t.Fatalf("unexpected Metrics.RowsAddedTotal: got %d, want %d", got, want)
}
}
maxHourlySeries := 1
maxDailySeries := 0 // No limit
f("HourlyLimitExceeded", maxHourlySeries, maxDailySeries)
maxHourlySeries = 0 // No limit
maxDailySeries = 1
f("DailyLimitExceeded", maxHourlySeries, maxDailySeries)
}
// testCountAllMetricNames is a test helper function that counts the names of
// all time series within the given time range.
func testCountAllMetricNames(s *Storage, tr TimeRange) int {
tfsAll := NewTagFilters()
if err := tfsAll.Add([]byte("__name__"), []byte(".*"), false, true); err != nil {
panic(fmt.Sprintf("unexpected error in TagFilters.Add: %v", err))
}
names, err := s.SearchMetricNames(nil, []*TagFilters{tfsAll}, tr, 1e9, noDeadline)
if err != nil {
panic(fmt.Sprintf("SeachMetricNames() failed unexpectedly: %v", err))
}
return len(names)
}
func TestStorageSearchMetricNames_TooManyTimeseries(t *testing.T) {
defer testRemoveAll(t)
const (
numDays = 100
numRows = 10
)
rng := rand.New(rand.NewSource(1))
var (
days []TimeRange
mrs []MetricRow
)
for i := range numDays {
day := TimeRange{
MinTimestamp: time.Date(2000, 1, i+1, 0, 0, 0, 0, time.UTC).UnixMilli(),
MaxTimestamp: time.Date(2000, 1, i+1, 23, 59, 59, 999, time.UTC).UnixMilli(),
}
days = append(days, day)
prefix1 := fmt.Sprintf("metric1_%d", i)
mrs = append(mrs, testGenerateMetricRowsWithPrefix(rng, numRows, prefix1, day)...)
prefix2 := fmt.Sprintf("metric2_%d", i)
mrs = append(mrs, testGenerateMetricRowsWithPrefix(rng, numRows, prefix2, day)...)
}
type options struct {
path string
filters []string
tr TimeRange
maxMetrics int
wantErr bool
wantCount int
}
f := func(opts *options) {
t.Helper()
s := MustOpenStorage(t.Name()+"/"+opts.path, 0, 0, 0)
defer s.MustClose()
s.AddRows(mrs, defaultPrecisionBits)
s.DebugFlush()
var tfss []*TagFilters
for _, filter := range opts.filters {
filter := fmt.Sprintf("%s.*", filter)
tfs := NewTagFilters()
if err := tfs.Add(nil, []byte(filter), false, true); err != nil {
t.Fatalf("unexpected error in TagFilters.Add: %v", err)
}
tfss = append(tfss, tfs)
}
names, err := s.SearchMetricNames(nil, tfss, opts.tr, opts.maxMetrics, noDeadline)
gotErr := err != nil
if gotErr != opts.wantErr {
t.Errorf("SeachMetricNames(%v, %v, %d): unexpected error: got %v, want error to happen %v", []any{
tfss, &opts.tr, opts.maxMetrics, err, opts.wantErr}...)
}
if got := len(names); got != opts.wantCount {
t.Errorf("SeachMetricNames(%v, %v, %d): unexpected metric name count: got %d, want %d", []any{
tfss, &opts.tr, opts.maxMetrics, got, opts.wantCount}...)
}
}
// Using one filter to search metric names within one day. The maxMetrics
// param is set to match exactly the number of time series that match the
// filter within that time range. Search operation must complete
// successfully.
f(&options{
path: "OneDay/OneTagFilter/MaxMetricsNotExeeded",
filters: []string{"metric1"},
tr: days[0],
maxMetrics: numRows,
wantCount: numRows,
})
// Using one filter to search metric names within one day. The maxMetrics
// param is less than the number of time series that match the filter
// within that time range. Search operation must fail.
f(&options{
path: "OneDay/OneTagFilter/MaxMetricsExeeded",
filters: []string{"metric1"},
tr: days[0],
maxMetrics: numRows - 1,
wantErr: true,
})
// Using two filters to search metric names within one day. The maxMetrics
// param is set to match exactly the number of time series that match the
// two filters within that time range. Search operation must complete
// successfully.
f(&options{
path: "OneDay/TwoTagFilters/MaxMetricsNotExeeded",
filters: []string{"metric1", "metric2"},
tr: days[0],
maxMetrics: numRows * 2,
wantCount: numRows * 2,
})
// Using two filters to search metric names within one day. The maxMetrics
// param is less than the number of time series that match the two filters
// within that time range. Search operation must fail.
f(&options{
path: "OneDay/TwoTagFilters/MaxMetricsExeeded",
filters: []string{"metric1", "metric2"},
tr: days[0],
maxMetrics: numRows*2 - 1,
wantErr: true,
})
// Using one filter to search metric names within two days. The maxMetrics
// param is set to match exactly the number of time series that match the
// filter within that time range. Search operation must complete
// successfully.
f(&options{
path: "TwoDays/OneTagFilter/MaxMetricsNotExeeded",
filters: []string{"metric1"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[1].MaxTimestamp,
},
maxMetrics: numRows * 2,
wantCount: numRows * 2,
})
// Using one filter to search metric names within two days. The maxMetrics
// param is less than the number of time series that match the filter
// within that time range. Search operation must fail.
f(&options{
path: "TwoDays/OneTagFilter/MaxMetricsExeeded",
filters: []string{"metric1"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[1].MaxTimestamp,
},
maxMetrics: numRows*2 - 1,
wantErr: true,
})
// Using two filters to search metric names within two days. The maxMetrics
// param is set to match exactly the number of time series that match the
// two filters within that time range. Search operation must complete
// successfully.
f(&options{
path: "TwoDays/TwoTagFilters/MaxMetricsNotExeeded",
filters: []string{"metric1", "metric2"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[1].MaxTimestamp,
},
maxMetrics: numRows * 4,
wantCount: numRows * 4,
})
// Using two filters to search metric names within two days. The maxMetrics
// param is less than the number of time series that match the two filters
// within that time range. Search operation must fail.
f(&options{
path: "TwoDays/TwoTagFilters/MaxMetricsExeeded",
filters: []string{"metric1", "metric2"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[1].MaxTimestamp,
},
maxMetrics: numRows*4 - 1,
wantErr: true,
})
// Using one filter to search metric names within the time range of 41 days.
// This time range corresponds to the day difference of 40 days, which is
// the max day difference when the per-day index is still used for
// searching. The maxMetrics param is set to match exactly the number of
// time series that match the filter within that time range. Search
// operation must complete successfully.
f(&options{
path: "40Days/OneTagFilter/MaxMetricsNotExeeded",
filters: []string{"metric1"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[40].MaxTimestamp,
},
maxMetrics: numRows * 41,
wantCount: numRows * 41,
})
// Using one filter to search metric names within the time range of 42 days.
// This time range corresponds to the day difference of 41 days, which is
// longer than than 40 days. In this case, the search is performed using
// global index instead of per-day index and the metric names will be
// searched within the entire retention period. The maxMetrics parameter,
// however, is set to the number of time series within the 42 days. The
// search must fail because the number of metrics will be much larger.
f(&options{
path: "MoreThan40Days/OneTagFilter/MaxMetricsExeeded",
filters: []string{"metric1"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[41].MaxTimestamp,
},
maxMetrics: numRows * 42,
wantErr: true,
})
// To fix the above case, the maxMetrics must be adjusted to be not less
// than the number of time series within the entire retention period.
f(&options{
path: "MoreThan40Days/OneTagFilter/MaxMetricsNotExeeded",
filters: []string{"metric1"},
tr: TimeRange{
MinTimestamp: days[0].MinTimestamp,
MaxTimestamp: days[41].MaxTimestamp,
},
maxMetrics: numRows * numDays,
wantCount: numRows * numDays,
})
}
// testCountAllMetricIDs is a test helper function that counts the IDs of
// all time series within the given time range.
func testCountAllMetricIDs(s *Storage, tr TimeRange) int {
tfsAll := NewTagFilters()
if err := tfsAll.Add([]byte("__name__"), []byte(".*"), false, true); err != nil {
panic(fmt.Sprintf("unexpected error in TagFilters.Add: %v", err))
}
ids, err := s.idb().searchMetricIDs(nil, []*TagFilters{tfsAll}, tr, 1e9, noDeadline)
if err != nil {
panic(fmt.Sprintf("seachMetricIDs() failed unexpectedly: %s", err))
}
return len(ids)
}
func TestStorageRegisterMetricNamesForVariousDataPatternsConcurrently(t *testing.T) {
testStorageVariousDataPatternsConcurrently(t, true, func(s *Storage, mrs []MetricRow) {
s.RegisterMetricNames(nil, mrs)
})
}
func TestStorageAddRowsForVariousDataPatternsConcurrently(t *testing.T) {
testStorageVariousDataPatternsConcurrently(t, false, func(s *Storage, mrs []MetricRow) {
s.AddRows(mrs, defaultPrecisionBits)
})
}
// testStorageVariousDataPatternsConcurrently tests different concurrency use
// cases when ingesting data of different patterns.
//
// The function is intended to be used by other tests that define which
// operation (AddRows or RegisterMetricNames) is tested.
func testStorageVariousDataPatternsConcurrently(t *testing.T, registerOnly bool, op func(s *Storage, mrs []MetricRow)) {
defer testRemoveAll(t)
const concurrency = 4
t.Run("serial", func(t *testing.T) {
testStorageVariousDataPatterns(t, registerOnly, op, 1, false)
})
t.Run("concurrentRows", func(t *testing.T) {
testStorageVariousDataPatterns(t, registerOnly, op, concurrency, true)
})
t.Run("concurrentBatches", func(t *testing.T) {
testStorageVariousDataPatterns(t, registerOnly, op, concurrency, false)
})
}
// testStorageVariousDataPatterns tests the ingestion of different combinations
// of metric names and dates.
//
// The function is intended to be used by other tests that define the
// concurrency and the operation (AddRows or RegisterMetricNames) under test.
func testStorageVariousDataPatterns(t *testing.T, registerOnly bool, op func(s *Storage, mrs []MetricRow), concurrency int, splitBatches bool) {
f := func(t *testing.T, sameBatchMetricNames, sameRowMetricNames, sameBatchDates, sameRowDates bool) {
batches, wantCounts := testGenerateMetricRowBatches(&batchOptions{
numBatches: 4,
numRowsPerBatch: 100,
registerOnly: registerOnly,
sameBatchMetricNames: sameBatchMetricNames,
sameRowMetricNames: sameRowMetricNames,
sameBatchDates: sameBatchDates,
sameRowDates: sameRowDates,
})
strict := concurrency == 1
rowsAddedTotal := wantCounts.metrics.RowsAddedTotal
s := MustOpenStorage(t.Name(), 0, 0, 0)
testDoConcurrently(s, op, concurrency, splitBatches, batches)
s.DebugFlush()
assertCounts(t, s, wantCounts, strict)
// Rotate indexDB to test the case when TSIDs from tsidCache have the
// generation that is older than the generation of the current indexDB.
s.mustRotateIndexDB(time.Now())
testDoConcurrently(s, op, concurrency, splitBatches, batches)
s.DebugFlush()
wantCounts.metrics.RowsAddedTotal += rowsAddedTotal
assertCounts(t, s, wantCounts, strict)
// Empty the tsidCache to test the case when tsid is retrived from the
// index that belongs to the current generation indexDB.
s.resetAndSaveTSIDCache()
testDoConcurrently(s, op, concurrency, splitBatches, batches)
s.DebugFlush()
wantCounts.metrics.RowsAddedTotal += rowsAddedTotal
assertCounts(t, s, wantCounts, strict)
// Empty the tsidCache and rotate indexDB to test the case when tsid is
// retrived from the index that belongs to the previous generation
// indexDB.
s.resetAndSaveTSIDCache()
s.mustRotateIndexDB(time.Now())
testDoConcurrently(s, op, concurrency, splitBatches, batches)
s.DebugFlush()
wantCounts.metrics.RowsAddedTotal += rowsAddedTotal
assertCounts(t, s, wantCounts, strict)
s.MustClose()
}
t.Run("sameBatchMetrics/sameRowMetrics/sameBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric 1971-01-01, metric 1971-01-01
// Batch2: metric 1971-01-01, metric 1971-01-01
t.Parallel()
f(t, true, true, true, true)
})
t.Run("sameBatchMetrics/sameRowMetrics/sameBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric 1971-01-01, metric 1971-01-02
// Batch2: metric 1971-01-01, metric 1971-01-02
t.Parallel()
f(t, true, true, true, false)
})
t.Run("sameBatchMetrics/sameRowMetrics/diffBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric 1971-01-01, metric 1971-01-01
// Batch2: metric 1971-01-02, metric 1971-01-02
t.Parallel()
f(t, true, true, false, true)
})
t.Run("sameBatchMetrics/sameRowMetrics/diffBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric 1971-01-01, metric 1971-01-02
// Batch2: metric 1971-01-03, metric 1971-01-04
t.Parallel()
f(t, true, true, false, false)
})
t.Run("sameBatchMetrics/diffRowMetrics/sameBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_row0 1971-01-01, metric_row1 1971-01-01
// Batch2: metric_row0 1971-01-01, metric_row1 1971-01-01
t.Parallel()
f(t, true, false, true, true)
})
t.Run("sameBatchMetrics/diffRowMetrics/sameBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_row0 1971-01-01, metric_row1 1971-01-02
// Batch2: metric_row0 1971-01-01, metric_row1 1971-01-02
t.Parallel()
f(t, true, false, true, false)
})
t.Run("sameBatchMetrics/diffRowMetrics/diffBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_row0 1971-01-01, metric_row1 1971-01-01
// Batch2: metric_row0 1971-01-02, metric_row1 1971-01-02
t.Parallel()
f(t, true, false, false, true)
})
t.Run("sameBatchMetrics/diffRowMetrics/diffBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_row0 1971-01-01, metric_row1 1971-01-02
// Batch2: metric_row0 1971-01-03, metric_row1 1971-01-04
t.Parallel()
f(t, true, false, false, false)
})
t.Run("diffBatchMetrics/sameRowMetrics/sameBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_batch0 1971-01-01, metric_batch0 1971-01-01
// Batch2: metric_batch1 1971-01-01, metric_batch1 1971-01-01
t.Parallel()
f(t, false, true, true, true)
})
t.Run("diffBatchMetrics/sameRowMetrics/sameBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_batch0 1971-01-01, metric_batch0 1971-01-02
// Batch2: metric_batch1 1971-01-01, metric_batch1 1971-01-02
t.Parallel()
f(t, false, true, true, false)
})
t.Run("diffBatchMetrics/sameRowMetrics/diffBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_batch0 1971-01-01, metric_batch0 1971-01-01
// Batch2: metric_batch1 1971-01-02, metric_batch1 1971-01-02
t.Parallel()
f(t, false, true, false, true)
})
t.Run("diffBatchMetrics/sameRowMetrics/diffBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_batch0 1971-01-01, metric_batch0 1971-01-02
// Batch2: metric_batch1 1971-01-03, metric_batch1 1971-01-04
t.Parallel()
f(t, false, true, false, false)
})
t.Run("diffBatchMetrics/diffRowMetrics/sameBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_batch0_row0 1971-01-01, metric_batch0_row1 1971-01-01
// Batch2: metric_batch1_row0 1971-01-01, metric_batch1_row1 1971-01-01
t.Parallel()
f(t, false, false, true, true)
})
t.Run("diffBatchMetrics/diffRowMetrics/sameBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_batch0_row0 1971-01-01, metric_batch0_row1 1971-01-02
// Batch2: metric_batch1_row0 1971-01-01, metric_batch1_row1 1971-01-02
t.Parallel()
f(t, false, false, true, false)
})
t.Run("diffBatchMetrics/diffRowMetrics/diffBatchDates/sameRowDates", func(t *testing.T) {
// Batch1: metric_batch0_row0 1971-01-01, metric_batch0_row1 1971-01-01
// Batch2: metric_batch1_row0 1971-01-02, metric_batch1_row1 1971-01-02
t.Parallel()
f(t, false, false, false, true)
})
t.Run("diffBatchMetrics/diffRowMetrics/diffBatchDates/diffRowDates", func(t *testing.T) {
// Batch1: metric_batch0_row0 1971-01-01, metric_batch0_row1 1971-01-02
// Batch2: metric_batch1_row0 1971-01-03, metric_batch1_row1 1971-01-04
t.Parallel()
f(t, false, false, false, false)
})
}
// testDoConcurrently performs some storage operation on metric rows
// concurrently.
//
// The function accepts metric rows organized in batches. The number of
// goroutines is specified with concurrency arg. If splitBatches is false, then
// each batch is processed in a separate goroutine. Otherwise, rows from a
// single batch are spread across multiple goroutines and next batch won't be
// processed until all records of the current batch are processed.
func testDoConcurrently(s *Storage, op func(s *Storage, mrs []MetricRow), concurrency int, splitBatches bool, mrsBatches [][]MetricRow) {
if concurrency < 1 {
panic(fmt.Sprintf("Unexpected concurrency: got %d, want >= 1", concurrency))
}
var wg sync.WaitGroup
mrsCh := make(chan []MetricRow)
for range concurrency {
wg.Add(1)
go func() {
for mrs := range mrsCh {
op(s, mrs)
}
wg.Done()
}()
}
n := 1
if splitBatches {
n = concurrency
}
for _, batch := range mrsBatches {
step := len(batch) / n
if step == 0 {
step = 1
}
for begin := 0; begin < len(batch); begin += step {
limit := begin + step
if limit > len(batch) {
limit = len(batch)
}
mrsCh <- batch[begin:limit]
}
}
close(mrsCh)
wg.Wait()
}
type counts struct {
metrics *Metrics
timeRangeCounts map[TimeRange]int
dateTSDBStatuses map[uint64]*TSDBStatus
}
// assertCounts retrieves various counts from storage and compares them with
// the wanted ones.
//
// Some counts can be greater than wanted values because duplicate metric IDs
// can be created when rows are inserted concurrently. In this case `strict`
// arg can be set to false in order to replace strict equality comparison with
// `greater or equal`.
func assertCounts(t *testing.T, s *Storage, want *counts, strict bool) {
t.Helper()
var gotMetrics Metrics
s.UpdateMetrics(&gotMetrics)
if got, want := gotMetrics.RowsAddedTotal, want.metrics.RowsAddedTotal; got != want {
t.Errorf("unexpected Metrics.RowsAddedTotal: got %d, want %d", got, want)
}
gotCnt, wantCnt := gotMetrics.NewTimeseriesCreated, want.metrics.NewTimeseriesCreated
if strict {
if gotCnt != wantCnt {
t.Errorf("unexpected Metrics.NewTimeseriesCreated: got %d, want %d", gotCnt, wantCnt)
}
} else {
if gotCnt < wantCnt {
t.Errorf("unexpected Metrics.NewTimeseriesCreated: got %d, want >= %d", gotCnt, wantCnt)
}
}
for tr, want := range want.timeRangeCounts {
if got := testCountAllMetricNames(s, tr); got != want {
t.Errorf("%v: unexpected metric name count: got %d, want %d", &tr, got, want)
}
got := testCountAllMetricIDs(s, tr)
if strict {
if got != want {
t.Errorf("%v: unexpected metric ID count: got %d, want %d", &tr, got, want)
}
} else {
if got < want {
t.Errorf("%v: unexpected metric ID count: got %d, want >= %d", &tr, got, want)
}
}
}
for date, wantStatus := range want.dateTSDBStatuses {
dt := time.UnixMilli(int64(date) * msecPerDay).UTC()
gotStatus, err := s.GetTSDBStatus(nil, nil, date, "", 10, 1e6, noDeadline)
if err != nil {
t.Fatalf("GetTSDBStatus(%v) failed unexpectedly: %v", dt, err)
}
got, want := gotStatus.TotalSeries, wantStatus.TotalSeries
if strict {
if got != want {
t.Errorf("%v: unexpected TSDBStatus.TotalSeries: got %d, want %d", dt, got, want)
}
} else {
if got < want {
t.Errorf("%v: unexpected TSDBStatus.TotalSeries: got %d, want >= %d", dt, got, want)
}
}
}
}
type batchOptions struct {
numBatches int
numRowsPerBatch int
registerOnly bool
sameBatchMetricNames bool
sameRowMetricNames bool
sameBatchDates bool
sameRowDates bool
}
// testGenerateMetricRowBatches generates metric rows batches of various
// combinations of metric names and dates. The function also returns the counts
// that the storage is expected to report once the generated batch is ingested
// into the storage.
func testGenerateMetricRowBatches(opts *batchOptions) ([][]MetricRow, *counts) {
if opts.numBatches <= 0 {
panic(fmt.Sprintf("unexpected number of batches: got %d, want > 0", opts.numBatches))
}
if opts.numRowsPerBatch <= 0 {
panic(fmt.Sprintf("unexpected number of rows per batch: got %d, want > 0", opts.numRowsPerBatch))
}
rng := rand.New(rand.NewSource(1))
batches := make([][]MetricRow, opts.numBatches)
metricName := "metric"
startTime := time.Date(1971, 1, 1, 0, 0, 0, 0, time.UTC)
endTime := time.Date(1971, 1, 1, 23, 59, 59, 999, time.UTC)
days := time.Duration(0)
trNames := make(map[TimeRange]map[string]bool)
names := make(map[string]bool)
for batch := range opts.numBatches {
batchMetricName := metricName
if !opts.sameBatchMetricNames {
batchMetricName += fmt.Sprintf("_batch%d", batch)
}
var rows []MetricRow
for row := range opts.numRowsPerBatch {
rowMetricName := batchMetricName
if !opts.sameRowMetricNames {
rowMetricName += fmt.Sprintf("_row%d", row)
}
mn := MetricName{
MetricGroup: []byte(rowMetricName),
}
tr := TimeRange{
MinTimestamp: startTime.Add(days * 24 * time.Hour).UnixMilli(),
MaxTimestamp: endTime.Add(days * 24 * time.Hour).UnixMilli(),
}
rows = append(rows, MetricRow{
MetricNameRaw: mn.marshalRaw(nil),
Timestamp: rng.Int63n(tr.MaxTimestamp-tr.MinTimestamp) + tr.MinTimestamp,
Value: rng.NormFloat64() * 1e6,
})
if !opts.sameRowDates {
days++
}
if trNames[tr] == nil {
trNames[tr] = make(map[string]bool)
}
names[rowMetricName] = true
trNames[tr][rowMetricName] = true
}
batches[batch] = rows
if opts.sameBatchDates {
days = 0
} else if opts.sameRowDates {
days++
}
}
allTimeseries := len(names)
rowsAddedTotal := uint64(opts.numBatches * opts.numRowsPerBatch)
// When RegisterMetricNames() is called it only restisters the time series
// in IndexDB but no samples is written to the storage.
if opts.registerOnly {
rowsAddedTotal = 0
}
want := counts{
metrics: &Metrics{
RowsAddedTotal: rowsAddedTotal,
NewTimeseriesCreated: uint64(allTimeseries),
},
timeRangeCounts: make(map[TimeRange]int),
dateTSDBStatuses: make(map[uint64]*TSDBStatus),
}
for tr, names := range trNames {
count := len(names)
date := uint64(tr.MinTimestamp / msecPerDay)
want.timeRangeCounts[tr] = count
want.dateTSDBStatuses[date] = &TSDBStatus{
TotalSeries: uint64(count),
}
}
return batches, &want
}