mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-23 20:37:12 +01:00
vendor: update github.com/VictoriaMetrics/metrics from v1.13.1 to v1.14.0
The new version switches from log-linear histograms to log-based histograms, which provide up to 3.6 times better accuracy.
This commit is contained in:
parent
9f5ac603a7
commit
4e39bf148c
@ -3669,8 +3669,9 @@ func TestExecSuccess(t *testing.T) {
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t.Run(`histogram(scalar)`, func(t *testing.T) {
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t.Parallel()
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q := `sort(histogram(123)+(
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label_set(0, "le", "1.0e2"),
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label_set(0, "le", "1.5e2"),
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label_set(0, "le", "1.000e+02"),
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label_set(0, "le", "1.136e+02"),
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label_set(0, "le", "1.292e+02"),
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label_set(1, "le", "+Inf"),
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))`
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r1 := netstorage.Result{
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@ -3681,7 +3682,7 @@ func TestExecSuccess(t *testing.T) {
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("le"),
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Value: []byte("1.0e2"),
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Value: []byte("1.136e+02"),
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},
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}
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r2 := netstorage.Result{
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@ -3692,7 +3693,7 @@ func TestExecSuccess(t *testing.T) {
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r2.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("le"),
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Value: []byte("1.5e2"),
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Value: []byte("1.292e+02"),
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},
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}
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r3 := netstorage.Result{
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@ -3716,9 +3717,9 @@ func TestExecSuccess(t *testing.T) {
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label_set(1.1, "xx", "yy"),
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alias(1.15, "foobar"),
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))+(
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label_set(0, "le", "9.5e-1"),
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label_set(0, "le", "1.0e0"),
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label_set(0, "le", "1.5e0"),
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label_set(0, "le", "8.799e-01"),
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label_set(0, "le", "1.000e+00"),
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label_set(0, "le", "1.292e+00"),
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label_set(1, "le", "+Inf"),
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))`
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r1 := netstorage.Result{
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@ -3729,7 +3730,7 @@ func TestExecSuccess(t *testing.T) {
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("le"),
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Value: []byte("9.5e-1"),
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Value: []byte("8.799e-01"),
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},
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}
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r2 := netstorage.Result{
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@ -3740,7 +3741,7 @@ func TestExecSuccess(t *testing.T) {
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r2.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("le"),
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Value: []byte("1.0e0"),
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Value: []byte("1.000e+00"),
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},
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}
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r3 := netstorage.Result{
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@ -3751,7 +3752,7 @@ func TestExecSuccess(t *testing.T) {
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r3.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("le"),
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Value: []byte("1.5e0"),
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Value: []byte("1.292e+00"),
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},
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}
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r4 := netstorage.Result{
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@ -4021,10 +4022,10 @@ func TestExecSuccess(t *testing.T) {
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})
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t.Run(`histogram_over_time`, func(t *testing.T) {
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t.Parallel()
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q := `sort(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s]))`
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q := `sort_by_label(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s]), "vmrange")`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{14, 16, 12, 13, 15, 11},
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Values: []float64{1, 2, 2, 2, nan, 1},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.Tags = []storage.Tag{
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@ -4034,12 +4035,12 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("2.0e0...2.5e0"),
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Value: []byte("1.000e+00...1.136e+00"),
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},
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}
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r2 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 14, 12, 8, 12, 13},
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Values: []float64{3, 3, 4, 2, 8, 3},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{
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@ -4049,12 +4050,12 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.0e0...1.5e0"),
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Value: []byte("1.136e+00...1.292e+00"),
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},
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}
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r3 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 10, 16, 19, 13, 16},
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Values: []float64{7, 7, 5, 3, 3, 9},
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Timestamps: timestampsExpected,
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}
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r3.MetricName.Tags = []storage.Tag{
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@ -4064,46 +4065,111 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.5e0...2.0e0"),
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Value: []byte("1.292e+00...1.468e+00"),
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},
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}
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resultExpected := []netstorage.Result{r1, r2, r3}
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r4 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{7, 4, 6, 5, 6, 4},
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Timestamps: timestampsExpected,
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}
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r4.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.468e+00...1.668e+00"),
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},
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}
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r5 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{6, 6, 9, 13, 7, 7},
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Timestamps: timestampsExpected,
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}
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r5.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.668e+00...1.896e+00"),
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},
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}
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r6 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{5, 9, 4, 6, 7, 9},
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Timestamps: timestampsExpected,
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}
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r6.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.896e+00...2.154e+00"),
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},
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}
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r7 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{11, 9, 10, 9, 9, 7},
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Timestamps: timestampsExpected,
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}
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r7.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("2.154e+00...2.448e+00"),
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},
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}
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resultExpected := []netstorage.Result{r1, r2, r3, r4, r5, r6, r7}
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f(q, resultExpected)
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})
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t.Run(`sum(histogram_over_time) by (vmrange)`, func(t *testing.T) {
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t.Parallel()
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q := `sort(sum(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s])) by (vmrange))`
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q := `sort_desc(
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buckets_limit(
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3,
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sum(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s])) by (vmrange)
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)
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)`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{14, 16, 12, 13, 15, 11},
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Values: []float64{40, 40, 40, 40, 40, 40},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("vmrange"),
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Value: []byte("2.0e0...2.5e0"),
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Key: []byte("le"),
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Value: []byte("+Inf"),
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},
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}
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r2 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 14, 12, 8, 12, 13},
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Values: []float64{24, 22, 26, 25, 24, 24},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("vmrange"),
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Value: []byte("1.0e0...1.5e0"),
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Key: []byte("le"),
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Value: []byte("1.896e+00"),
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},
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}
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r3 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 10, 16, 19, 13, 16},
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Values: []float64{11, 12, 11, 7, 11, 13},
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Timestamps: timestampsExpected,
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}
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r3.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("vmrange"),
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Value: []byte("1.5e0...2.0e0"),
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Key: []byte("le"),
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Value: []byte("1.468e+00"),
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},
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}
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resultExpected := []netstorage.Result{r1, r2, r3}
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@ -4125,7 +4191,7 @@ func TestExecSuccess(t *testing.T) {
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q := `topk_max(1, histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s]))`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 10, 16, 19, 13, 16},
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Values: []float64{6, 6, 9, 13, 7, 7},
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Timestamps: timestampsExpected,
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}
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r.MetricName.Tags = []storage.Tag{
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@ -4135,7 +4201,7 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.5e0...2.0e0"),
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Value: []byte("1.668e+00...1.896e+00"),
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},
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}
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resultExpected := []netstorage.Result{r}
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2
go.mod
2
go.mod
@ -8,7 +8,7 @@ require (
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// Do not use the original github.com/valyala/fasthttp because of issues
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// like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b
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github.com/VictoriaMetrics/fasthttp v1.0.12
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github.com/VictoriaMetrics/metrics v1.13.1
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github.com/VictoriaMetrics/metrics v1.14.0
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github.com/VictoriaMetrics/metricsql v0.10.1
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github.com/aws/aws-sdk-go v1.37.7
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github.com/cespare/xxhash/v2 v2.1.1
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|
4
go.sum
4
go.sum
@ -85,8 +85,8 @@ github.com/VictoriaMetrics/fastcache v1.5.7/go.mod h1:ptDBkNMQI4RtmVo8VS/XwRY6Ro
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github.com/VictoriaMetrics/fasthttp v1.0.12 h1:Ag0E119yrH4BTxVyjKD9TeiSImtG9bUcg/stItLJhSE=
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github.com/VictoriaMetrics/fasthttp v1.0.12/go.mod h1:3SeUL4zwB/p/a9aEeRc6gdlbrtNHXBJR6N376EgiSHU=
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github.com/VictoriaMetrics/metrics v1.12.2/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
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github.com/VictoriaMetrics/metrics v1.13.1 h1:1S9QrbXLPrcDBYLiDNIqWk9AC/lk5Ptk8eIjDIFFDsQ=
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github.com/VictoriaMetrics/metrics v1.13.1/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
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github.com/VictoriaMetrics/metrics v1.14.0 h1:yvyEVo7cPN2Hv+Hrm1zPTA1f/squmEZTq6xtPH/8F64=
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github.com/VictoriaMetrics/metrics v1.14.0/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
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github.com/VictoriaMetrics/metricsql v0.10.1 h1:wLl/YbMmBGFPyLKMfqNLC333iygibosSM5iSvlH2B4A=
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github.com/VictoriaMetrics/metricsql v0.10.1/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8=
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github.com/VividCortex/ewma v1.1.1 h1:MnEK4VOv6n0RSY4vtRe3h11qjxL3+t0B8yOL8iMXdcM=
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|
@ -844,9 +844,9 @@ func (s *Storage) mustSaveAndStopCache(c *workingsetcache.Cache, info, name stri
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func nextRetentionDuration(retentionMsecs int64) time.Duration {
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// Round retentionMsecs to days. This guarantees that per-day inverted index works as expected.
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retentionMsecs = ((retentionMsecs+msecPerDay-1)/msecPerDay)*msecPerDay
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retentionMsecs = ((retentionMsecs + msecPerDay - 1) / msecPerDay) * msecPerDay
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t := time.Now().UnixNano() / 1e6
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deadline := ((t+retentionMsecs-1)/retentionMsecs)*retentionMsecs
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deadline := ((t + retentionMsecs - 1) / retentionMsecs) * retentionMsecs
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// Schedule the deadline to +4 hours from the next retention period start.
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// This should prevent from possible double deletion of indexdb
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// due to time drift - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/248 .
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|
191
vendor/github.com/VictoriaMetrics/metrics/histogram.go
generated
vendored
191
vendor/github.com/VictoriaMetrics/metrics/histogram.go
generated
vendored
@ -9,14 +9,15 @@ import (
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)
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const (
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e10Min = -9
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e10Max = 18
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decimalMultiplier = 2
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bucketSize = 9 * decimalMultiplier
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bucketsCount = e10Max - e10Min
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decimalPrecision = 1e-12
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e10Min = -9
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e10Max = 18
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bucketsPerDecimal = 18
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decimalBucketsCount = e10Max - e10Min
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bucketsCount = decimalBucketsCount * bucketsPerDecimal
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)
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var bucketMultiplier = math.Pow(10, 1.0/bucketsPerDecimal)
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// Histogram is a histogram for non-negative values with automatically created buckets.
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//
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// See https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350
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@ -48,9 +49,8 @@ type Histogram struct {
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// Mu gurantees synchronous update for all the counters and sum.
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mu sync.Mutex
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buckets [bucketsCount]*histogramBucket
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decimalBuckets [decimalBucketsCount]*[bucketsPerDecimal]uint64
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zeros uint64
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lower uint64
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upper uint64
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@ -65,15 +65,14 @@ func (h *Histogram) Reset() {
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}
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func (h *Histogram) resetLocked() {
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for _, hb := range h.buckets[:] {
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if hb == nil {
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for _, db := range h.decimalBuckets[:] {
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if db == nil {
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continue
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}
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for offset := range hb.counts[:] {
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hb.counts[offset] = 0
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for i := range db[:] {
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db[i] = 0
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}
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}
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h.zeros = 0
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h.lower = 0
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h.upper = 0
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}
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@ -86,31 +85,31 @@ func (h *Histogram) Update(v float64) {
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// Skip NaNs and negative values.
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return
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}
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bucketIdx, offset := getBucketIdxAndOffset(v)
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bucketIdx := (math.Log10(v) - e10Min) * bucketsPerDecimal
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idx := uint(bucketIdx)
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if bucketIdx == float64(idx) {
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// Edge case for 10^n values, which must go to the lower bucket
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// according to Prometheus logic for `le`-based histograms.
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idx--
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}
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decimalBucketIdx := idx / bucketsPerDecimal
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offset := idx % bucketsPerDecimal
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h.mu.Lock()
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h.updateLocked(v, bucketIdx, offset)
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h.mu.Unlock()
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}
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func (h *Histogram) updateLocked(v float64, bucketIdx int, offset uint) {
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h.sum += v
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if bucketIdx < 0 {
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// Special cases for zero, too small or too big value
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if offset == 0 {
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h.zeros++
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} else if offset == 1 {
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h.lower++
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} else {
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h.upper++
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h.lower++
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} else if bucketIdx >= bucketsCount {
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h.upper++
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} else {
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db := h.decimalBuckets[decimalBucketIdx]
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if db == nil {
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var b [bucketsPerDecimal]uint64
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db = &b
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h.decimalBuckets[decimalBucketIdx] = db
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}
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return
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db[offset]++
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}
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hb := h.buckets[bucketIdx]
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if hb == nil {
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hb = &histogramBucket{}
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h.buckets[bucketIdx] = hb
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}
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hb.counts[offset]++
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h.mu.Unlock()
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}
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// VisitNonZeroBuckets calls f for all buckets with non-zero counters.
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@ -121,38 +120,25 @@ func (h *Histogram) updateLocked(v float64, bucketIdx int, offset uint) {
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// with `le` (less or equal) labels.
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func (h *Histogram) VisitNonZeroBuckets(f func(vmrange string, count uint64)) {
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h.mu.Lock()
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h.visitNonZeroBucketsLocked(f)
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h.mu.Unlock()
|
||||
}
|
||||
|
||||
func (h *Histogram) visitNonZeroBucketsLocked(f func(vmrange string, count uint64)) {
|
||||
if h.zeros > 0 {
|
||||
vmrange := getVMRange(-1, 0)
|
||||
f(vmrange, h.zeros)
|
||||
}
|
||||
if h.lower > 0 {
|
||||
vmrange := getVMRange(-1, 1)
|
||||
f(vmrange, h.lower)
|
||||
f(lowerBucketRange, h.lower)
|
||||
}
|
||||
for bucketIdx, hb := range h.buckets[:] {
|
||||
if hb == nil {
|
||||
for decimalBucketIdx, db := range h.decimalBuckets[:] {
|
||||
if db == nil {
|
||||
continue
|
||||
}
|
||||
for offset, count := range hb.counts[:] {
|
||||
for offset, count := range db[:] {
|
||||
if count > 0 {
|
||||
vmrange := getVMRange(bucketIdx, uint(offset))
|
||||
bucketIdx := decimalBucketIdx*bucketsPerDecimal + offset
|
||||
vmrange := getVMRange(bucketIdx)
|
||||
f(vmrange, count)
|
||||
}
|
||||
}
|
||||
}
|
||||
if h.upper > 0 {
|
||||
vmrange := getVMRange(-1, 2)
|
||||
f(vmrange, h.upper)
|
||||
f(upperBucketRange, h.upper)
|
||||
}
|
||||
}
|
||||
|
||||
type histogramBucket struct {
|
||||
counts [bucketSize]uint64
|
||||
h.mu.Unlock()
|
||||
}
|
||||
|
||||
// NewHistogram creates and returns new histogram with the given name.
|
||||
@ -193,43 +179,27 @@ func (h *Histogram) UpdateDuration(startTime time.Time) {
|
||||
h.Update(d)
|
||||
}
|
||||
|
||||
func getVMRange(bucketIdx int, offset uint) string {
|
||||
func getVMRange(bucketIdx int) string {
|
||||
bucketRangesOnce.Do(initBucketRanges)
|
||||
if bucketIdx < 0 {
|
||||
if offset > 2 {
|
||||
panic(fmt.Errorf("BUG: offset must be in range [0...2] for negative bucketIdx; got %d", offset))
|
||||
}
|
||||
return bucketRanges[offset]
|
||||
}
|
||||
idx := 3 + uint(bucketIdx)*bucketSize + offset
|
||||
return bucketRanges[idx]
|
||||
return bucketRanges[bucketIdx]
|
||||
}
|
||||
|
||||
func initBucketRanges() {
|
||||
bucketRanges[0] = "0...0"
|
||||
bucketRanges[1] = fmt.Sprintf("0...%.1fe%d", 1.0, e10Min)
|
||||
bucketRanges[2] = fmt.Sprintf("%.1fe%d...+Inf", 1.0, e10Max)
|
||||
idx := 3
|
||||
start := fmt.Sprintf("%.1fe%d", 1.0, e10Min)
|
||||
for bucketIdx := 0; bucketIdx < bucketsCount; bucketIdx++ {
|
||||
for offset := 0; offset < bucketSize; offset++ {
|
||||
e10 := e10Min + bucketIdx
|
||||
m := 1 + float64(offset+1)/decimalMultiplier
|
||||
if math.Abs(m-10) < decimalPrecision {
|
||||
m = 1
|
||||
e10++
|
||||
}
|
||||
end := fmt.Sprintf("%.1fe%d", m, e10)
|
||||
bucketRanges[idx] = start + "..." + end
|
||||
idx++
|
||||
start = end
|
||||
}
|
||||
v := math.Pow10(e10Min)
|
||||
start := fmt.Sprintf("%.3e", v)
|
||||
for i := 0; i < bucketsCount; i++ {
|
||||
v *= bucketMultiplier
|
||||
end := fmt.Sprintf("%.3e", v)
|
||||
bucketRanges[i] = start + "..." + end
|
||||
start = end
|
||||
}
|
||||
}
|
||||
|
||||
var (
|
||||
// 3 additional buckets for zero, lower and upper.
|
||||
bucketRanges [3 + bucketsCount*bucketSize]string
|
||||
lowerBucketRange = fmt.Sprintf("0...%.3e", math.Pow10(e10Min))
|
||||
upperBucketRange = fmt.Sprintf("%.3e...+Inf", math.Pow10(e10Max))
|
||||
|
||||
bucketRanges [bucketsCount]string
|
||||
bucketRangesOnce sync.Once
|
||||
)
|
||||
|
||||
@ -238,21 +208,21 @@ func (h *Histogram) marshalTo(prefix string, w io.Writer) {
|
||||
h.VisitNonZeroBuckets(func(vmrange string, count uint64) {
|
||||
tag := fmt.Sprintf("vmrange=%q", vmrange)
|
||||
metricName := addTag(prefix, tag)
|
||||
name, filters := splitMetricName(metricName)
|
||||
fmt.Fprintf(w, "%s_bucket%s %d\n", name, filters, count)
|
||||
name, labels := splitMetricName(metricName)
|
||||
fmt.Fprintf(w, "%s_bucket%s %d\n", name, labels, count)
|
||||
countTotal += count
|
||||
})
|
||||
if countTotal == 0 {
|
||||
return
|
||||
}
|
||||
name, filters := splitMetricName(prefix)
|
||||
name, labels := splitMetricName(prefix)
|
||||
sum := h.getSum()
|
||||
if float64(int64(sum)) == sum {
|
||||
fmt.Fprintf(w, "%s_sum%s %d\n", name, filters, int64(sum))
|
||||
fmt.Fprintf(w, "%s_sum%s %d\n", name, labels, int64(sum))
|
||||
} else {
|
||||
fmt.Fprintf(w, "%s_sum%s %g\n", name, filters, sum)
|
||||
fmt.Fprintf(w, "%s_sum%s %g\n", name, labels, sum)
|
||||
}
|
||||
fmt.Fprintf(w, "%s_count%s %d\n", name, filters, countTotal)
|
||||
fmt.Fprintf(w, "%s_count%s %d\n", name, labels, countTotal)
|
||||
}
|
||||
|
||||
func (h *Histogram) getSum() float64 {
|
||||
@ -261,46 +231,3 @@ func (h *Histogram) getSum() float64 {
|
||||
h.mu.Unlock()
|
||||
return sum
|
||||
}
|
||||
|
||||
func getBucketIdxAndOffset(v float64) (int, uint) {
|
||||
if v < 0 {
|
||||
panic(fmt.Errorf("BUG: v must be positive; got %g", v))
|
||||
}
|
||||
if v == 0 {
|
||||
return -1, 0
|
||||
}
|
||||
if math.IsInf(v, 1) {
|
||||
return -1, 2
|
||||
}
|
||||
e10 := int(math.Floor(math.Log10(v)))
|
||||
bucketIdx := e10 - e10Min
|
||||
if bucketIdx < 0 {
|
||||
return -1, 1
|
||||
}
|
||||
if bucketIdx >= bucketsCount {
|
||||
if bucketIdx == bucketsCount && math.Abs(math.Pow10(e10)-v) < decimalPrecision {
|
||||
// Adjust m to be on par with Prometheus 'le' buckets (aka 'less or equal')
|
||||
return bucketsCount - 1, bucketSize - 1
|
||||
}
|
||||
return -1, 2
|
||||
}
|
||||
m := ((v / math.Pow10(e10)) - 1) * decimalMultiplier
|
||||
offset := int(m)
|
||||
if offset < 0 {
|
||||
offset = 0
|
||||
} else if offset >= bucketSize {
|
||||
offset = bucketSize - 1
|
||||
}
|
||||
if math.Abs(float64(offset)-m) < decimalPrecision {
|
||||
// Adjust offset to be on par with Prometheus 'le' buckets (aka 'less or equal')
|
||||
offset--
|
||||
if offset < 0 {
|
||||
bucketIdx--
|
||||
offset = bucketSize - 1
|
||||
if bucketIdx < 0 {
|
||||
return -1, 1
|
||||
}
|
||||
}
|
||||
}
|
||||
return bucketIdx, uint(offset)
|
||||
}
|
||||
|
2
vendor/modules.txt
vendored
2
vendor/modules.txt
vendored
@ -14,7 +14,7 @@ github.com/VictoriaMetrics/fastcache
|
||||
github.com/VictoriaMetrics/fasthttp
|
||||
github.com/VictoriaMetrics/fasthttp/fasthttputil
|
||||
github.com/VictoriaMetrics/fasthttp/stackless
|
||||
# github.com/VictoriaMetrics/metrics v1.13.1
|
||||
# github.com/VictoriaMetrics/metrics v1.14.0
|
||||
github.com/VictoriaMetrics/metrics
|
||||
# github.com/VictoriaMetrics/metricsql v0.10.1
|
||||
github.com/VictoriaMetrics/metricsql
|
||||
|
Loading…
Reference in New Issue
Block a user