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chore: bump github.com/SigNoz/prometheus (#7182)

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Srikanth Chekuri 2025-03-03 14:04:16 +05:30 committed by GitHub
parent fe73ca63a0
commit a26cdf1089
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13 changed files with 66 additions and 64 deletions
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2
go.mod
View File

@ -277,4 +277,4 @@ require (
k8s.io/utils v0.0.0-20240711033017-18e509b52bc8 // indirect
)
replace github.com/prometheus/prometheus => github.com/SigNoz/prometheus v1.12.0
replace github.com/prometheus/prometheus => github.com/SigNoz/prometheus v1.13.0

4
go.sum
View File

@ -93,8 +93,8 @@ github.com/Microsoft/go-winio v0.6.2/go.mod h1:yd8OoFMLzJbo9gZq8j5qaps8bJ9aShtEA
github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU=
github.com/SigNoz/govaluate v0.0.0-20240203125216-988004ccc7fd h1:Bk43AsDYe0fhkbj57eGXx8H3ZJ4zhmQXBnrW523ktj8=
github.com/SigNoz/govaluate v0.0.0-20240203125216-988004ccc7fd/go.mod h1:nxRcH/OEdM8QxzH37xkGzomr1O0JpYBRS6pwjsWW6Pc=
github.com/SigNoz/prometheus v1.12.0 h1:+BXeIHyMOOWWa+xjhJ+x80JFva7r1WzWIfIhQ5PUmIE=
github.com/SigNoz/prometheus v1.12.0/go.mod h1:EqNM27OwmPfqMUk+E+XG1L9rfDFcyXnzzDrg0EPOfxA=
github.com/SigNoz/prometheus v1.13.0 h1:hsUql1zd83ifXtswO9Qk1rpCgVjE/ItQvgdNocBSqRI=
github.com/SigNoz/prometheus v1.13.0/go.mod h1:4PC0dxmx6y3kNI2d9oOTvEFTPkH6QnxDxERyqeL1hvI=
github.com/SigNoz/signoz-otel-collector v0.111.16 h1:535uKH5Oux+35EsI+L3C6pnAP/Ye0PTCbVizXoL+VqE=
github.com/SigNoz/signoz-otel-collector v0.111.16/go.mod h1:HJ4m0LY1MPsuZmuRF7Ixb+bY8rxgRzI0VXzOedESsjg=
github.com/SigNoz/zap_otlp v0.1.0 h1:T7rRcFN87GavY8lDGZj0Z3Xv6OhJA6Pj3I9dNPmqvRc=

6
pkg/query-service/app/metrics/v3/cumulative_table_test.go
View File

@ -38,7 +38,7 @@ func TestPanelTableForCumulative(t *testing.T) {
},
Expression: "A",
},
expected: "SELECT toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Cumulative' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch']) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts",
expected: "SELECT toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch']) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts",
},
{
name: "latency p50",
@ -66,7 +66,7 @@ func TestPanelTableForCumulative(t *testing.T) {
},
},
},
expected: "SELECT toStartOfHour(now()) as ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.500) as value FROM (SELECT le, toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT le, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') = 'frontend') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, le,ts ORDER BY fingerprint, le ASC, ts) WINDOW rate_window as (PARTITION BY fingerprint, le ORDER BY fingerprint, le ASC, ts)) WHERE isNaN(rate_value) = 0 GROUP BY le,ts ORDER BY le ASC, ts) GROUP BY ts ORDER BY ts",
expected: "SELECT toStartOfHour(now()) as ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.500) as value FROM (SELECT le, toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT le, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') = 'frontend') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, le,ts ORDER BY fingerprint, le ASC, ts) WINDOW rate_window as (PARTITION BY fingerprint, le ORDER BY fingerprint, le ASC, ts)) WHERE isNaN(rate_value) = 0 GROUP BY le,ts ORDER BY le ASC, ts) GROUP BY ts ORDER BY ts",
},
{
name: "latency p99 with group by",
@ -88,7 +88,7 @@ func TestPanelTableForCumulative(t *testing.T) {
},
Expression: "A",
},
expected: "SELECT service_name, toStartOfHour(now()) as ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name,le, toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT service_name,le, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, service_name,le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, service_name,le,ts ORDER BY fingerprint, service_name ASC,le ASC, ts) WINDOW rate_window as (PARTITION BY fingerprint, service_name,le ORDER BY fingerprint, service_name ASC,le ASC, ts)) WHERE isNaN(rate_value) = 0 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
expected: "SELECT service_name, toStartOfHour(now()) as ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name,le, toStartOfHour(now()) as ts, sum(rate_value)/29 as value FROM (SELECT service_name,le, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, service_name,le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY fingerprint, service_name,le,ts ORDER BY fingerprint, service_name ASC,le ASC, ts) WINDOW rate_window as (PARTITION BY fingerprint, service_name,le ORDER BY fingerprint, service_name ASC,le ASC, ts)) WHERE isNaN(rate_value) = 0 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
},
}

6
pkg/query-service/app/metrics/v3/delta_table_test.go
View File

@ -38,7 +38,7 @@ func TestPanelTableForDelta(t *testing.T) {
},
Expression: "A",
},
expected: "SELECT toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch']) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY ts ORDER BY ts",
expected: "SELECT toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch']) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY ts ORDER BY ts",
},
{
name: "latency p50",
@ -61,7 +61,7 @@ func TestPanelTableForDelta(t *testing.T) {
},
Expression: "A",
},
expected: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.500) as value FROM (SELECT le, toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') = 'frontend') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY le,ts ORDER BY le ASC, ts) GROUP BY ts ORDER BY ts",
expected: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.500) as value FROM (SELECT le, toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000 AND JSONExtractString(labels, 'service_name') = 'frontend') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY le,ts ORDER BY le ASC, ts) GROUP BY ts ORDER BY ts",
},
{
name: "latency p99 with group by",
@ -80,7 +80,7 @@ func TestPanelTableForDelta(t *testing.T) {
},
Expression: "A",
},
expected: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name,le, toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
expected: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name,le, toStartOfHour(now()) as ts, sum(value)/1800 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1689253200000 AND unix_milli < 1689257640000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1689255866000 AND unix_milli <= 1689257640000 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
},
}

12
pkg/query-service/app/metrics/v3/query_builder_test.go
View File

@ -58,7 +58,7 @@ func TestBuildQueryWithFilters(t *testing.T) {
query, err := PrepareMetricQuery(q.Start, q.End, q.CompositeQuery.QueryType, q.CompositeQuery.PanelType, q.CompositeQuery.BuilderQueries["A"], Options{PreferRPM: false})
require.NoError(t, err)
require.Contains(t, query, "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'a') != 'b'")
require.Contains(t, query, "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'a') != 'b'")
require.Contains(t, query, rateWithoutNegative)
require.Contains(t, query, "not match(JSONExtractString(labels, 'code'), 'ERROR_*')")
})
@ -97,7 +97,7 @@ func TestBuildQueryWithMultipleQueries(t *testing.T) {
query, err := PrepareMetricQuery(q.Start, q.End, q.CompositeQuery.QueryType, q.CompositeQuery.PanelType, q.CompositeQuery.BuilderQueries["A"], Options{PreferRPM: false})
require.NoError(t, err)
require.Contains(t, query, "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'in') IN ['a','b','c']")
require.Contains(t, query, "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'in') IN ['a','b','c']")
require.Contains(t, query, rateWithoutNegative)
})
}
@ -105,7 +105,7 @@ func TestBuildQueryWithMultipleQueries(t *testing.T) {
func TestBuildQueryXRate(t *testing.T) {
t.Run("TestBuildQueryXRate", func(t *testing.T) {
tmpl := `SELECT ts, %s(rate_value) as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['name'] AND temporality = '' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['name'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts) ) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts`
tmpl := `SELECT ts, %s(rate_value) as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['name'] AND temporality = '' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['name'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts) ) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts`
cases := []struct {
aggregateOperator v3.AggregateOperator
@ -158,7 +158,7 @@ func TestBuildQueryXRate(t *testing.T) {
func TestBuildQueryRPM(t *testing.T) {
t.Run("TestBuildQueryXRate", func(t *testing.T) {
tmpl := `SELECT ts, ceil(value * 60) as value FROM (SELECT ts, %s(rate_value) as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['name'] AND temporality = '' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['name'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts) ) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts)`
tmpl := `SELECT ts, ceil(value * 60) as value FROM (SELECT ts, %s(rate_value) as value FROM (SELECT ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as rate_value FROM(SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['name'] AND temporality = '' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['name'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts) ) WHERE isNaN(rate_value) = 0 GROUP BY ts ORDER BY ts)`
cases := []struct {
aggregateOperator v3.AggregateOperator
@ -456,7 +456,7 @@ func TestBuildQueryWithDotInMetricAndAttributes(t *testing.T) {
},
},
},
expected: "SELECT *, now() AS ts FROM (SELECT avgIf(value, toUnixTimestamp(ts) != 0) as value, anyIf(ts, toUnixTimestamp(ts) != 0) AS timestamp FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036080000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` asc, ts) )",
expected: "SELECT *, now() AS ts FROM (SELECT avgIf(value, toUnixTimestamp(ts) != 0) as value, anyIf(ts, toUnixTimestamp(ts) != 0) AS timestamp FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036080000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` asc, ts) )",
},
{
name: "TestBuildQueryWithDotInMetricAndAttributes with dot in metric and attributes with rate_avg aggregation",
@ -527,7 +527,7 @@ func TestBuildQueryWithDotInMetricAndAttributes(t *testing.T) {
},
},
},
expected: "SELECT *, now() AS ts FROM (SELECT avgIf(value, toUnixTimestamp(ts) != 0) as value, anyIf(ts, toUnixTimestamp(ts) != 0) AS timestamp FROM (SELECT `os.type`, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as value FROM(SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036020000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` asc, ts) WINDOW rate_window as (PARTITION BY `os.type` ORDER BY `os.type`, ts) ) )",
expected: "SELECT *, now() AS ts FROM (SELECT avgIf(value, toUnixTimestamp(ts) != 0) as value, anyIf(ts, toUnixTimestamp(ts) != 0) AS timestamp FROM (SELECT `os.type`, ts, If((value - lagInFrame(value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as value FROM(SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036020000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` asc, ts) WINDOW rate_window as (PARTITION BY `os.type` ORDER BY `os.type`, ts) ) )",
},
}
for _, testCase := range cases {

6
pkg/query-service/app/metrics/v4/cumulative/table_test.go
View File

@ -51,7 +51,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative",
@ -93,7 +93,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = avg, space aggregation = avg, temporality = unspecified, testing metrics and attribute name with dot",
@ -148,7 +148,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1735295140000,
end: 1735554340000,
expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
},
}

10
pkg/query-service/app/metrics/v4/cumulative/timeseries_test.go
View File

@ -66,7 +66,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
},
{
name: "test time aggregation = rate, temporality = cumulative",
@ -107,7 +107,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)",
expectedQueryContains: "SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)",
},
}
@ -168,7 +168,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative",
@ -210,7 +210,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = avg, space aggregation = avg, temporality = unspecified, testing metrics and attribute name with dot",
@ -265,7 +265,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1735295140000,
end: 1735554340000,
expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
},
}

6
pkg/query-service/app/metrics/v4/delta/table_test.go
View File

@ -53,7 +53,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = delta",
@ -95,7 +95,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = avg, temporality = delta, testing metrics and attribute name with dot",
@ -143,7 +143,7 @@ func TestPrepareTableQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT ts, avg(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'host.name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, avg(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'host.name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
}

12
pkg/query-service/app/metrics/v4/delta/time_series_test.go
View File

@ -66,7 +66,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
},
{
name: "test time aggregation = rate, temporality = delta",
@ -107,7 +107,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
},
}
@ -168,7 +168,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = delta",
@ -210,7 +210,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = rate, space aggregation percentile99, type = ExponentialHistogram",
@ -244,7 +244,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1701794980000,
end: 1701796780000,
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, quantilesDDMerge(0.01, 0.990000)(sketch)[1] as value FROM signoz_metrics.distributed_exp_hist INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency'] AND temporality = 'Delta' AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, quantilesDDMerge(0.01, 0.990000)(sketch)[1] as value FROM signoz_metrics.distributed_exp_hist INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = max, temporality = delta, testing metrics and attribute name with dot",
@ -299,7 +299,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
},
start: 1735036101000,
end: 1735637901000,
expectedQueryContains: "SELECT `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND unix_milli >= 1734998400000 AND unix_milli < 1735637901000 AND JSONExtractString(labels, 'host_name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1735036101000 AND unix_milli < 1735637901000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `host.name`, ts ORDER BY `host.name` ASC, ts ASC",
expectedQueryContains: "SELECT `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637901000 AND JSONExtractString(labels, 'host_name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1735036101000 AND unix_milli < 1735637901000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `host.name`, ts ORDER BY `host.name` ASC, ts ASC",
},
}

2
pkg/query-service/app/metrics/v4/helpers/sub_query.go
View File

@ -263,6 +263,7 @@ func PrepareTimeseriesFilterQuery(start, end int64, mq *v3.BuilderQuery) (string
conditions = append(conditions, fmt.Sprintf("metric_name IN %s", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key)))
conditions = append(conditions, fmt.Sprintf("temporality = '%s'", mq.Temporality))
conditions = append(conditions, "__normalized = true")
start, end, tableName := whichTSTableToUse(start, end, mq)
@ -350,6 +351,7 @@ func PrepareTimeseriesFilterQueryV3(start, end int64, mq *v3.BuilderQuery) (stri
conditions = append(conditions, fmt.Sprintf("metric_name IN %s", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key)))
conditions = append(conditions, fmt.Sprintf("temporality = '%s'", mq.Temporality))
conditions = append(conditions, "__normalized = true")
start, end, tableName := whichTSTableToUse(start, end, mq)

20
pkg/query-service/app/metrics/v4/query_builder_pre_agg_test.go
View File

@ -49,7 +49,7 @@ func TestPrepareMetricQueryCumulativeRatePreAgg(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative, multiple group by",
@ -82,7 +82,7 @@ func TestPrepareMetricQueryCumulativeRatePreAgg(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
},
}
@ -123,7 +123,7 @@ func TestPrepareMetricQueryDeltaRatePreAgg(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = delta, group by service_name",
@ -149,7 +149,7 @@ func TestPrepareMetricQueryDeltaRatePreAgg(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
}
@ -204,7 +204,7 @@ func TestPrepreMetricQueryCumulativeQuantilePreAgg(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test temporality = cumulative, quantile = 0.99 without group by",
@ -234,7 +234,7 @@ func TestPrepreMetricQueryCumulativeQuantilePreAgg(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
},
}
@ -289,7 +289,7 @@ func TestPrepreMetricQueryDeltaQuantilePreAgg(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test temporality = delta, quantile = 0.99 no group by",
@ -319,7 +319,7 @@ func TestPrepreMetricQueryDeltaQuantilePreAgg(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
},
}
@ -360,7 +360,7 @@ func TestPrepareMetricQueryGaugePreAgg(t *testing.T) {
SpaceAggregation: v3.SpaceAggregationSum,
Disabled: false,
},
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test gauge query with group by host_name",
@ -386,7 +386,7 @@ func TestPrepareMetricQueryGaugePreAgg(t *testing.T) {
Expression: "A",
Disabled: false,
},
expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
},
}

34
pkg/query-service/app/metrics/v4/query_builder_test.go
View File

@ -33,7 +33,7 @@ func TestPrepareTimeseriesFilterQuery(t *testing.T) {
Disabled: false,
// remaining struct fields are not needed here
},
expectedQueryContains: "SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
expectedQueryContains: "SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
},
{
name: "test prepare time series with no filters and group by",
@ -58,7 +58,7 @@ func TestPrepareTimeseriesFilterQuery(t *testing.T) {
Disabled: false,
// remaining struct fields are not needed here
},
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
},
{
name: "test prepare time series with no filters and multiple group by",
@ -90,7 +90,7 @@ func TestPrepareTimeseriesFilterQuery(t *testing.T) {
Disabled: false,
// remaining struct fields are not needed here
},
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
},
{
name: "test prepare time series with filters and multiple group by",
@ -138,7 +138,7 @@ func TestPrepareTimeseriesFilterQuery(t *testing.T) {
Disabled: false,
// remaining struct fields are not needed here
},
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']",
expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']",
},
}
@ -194,7 +194,7 @@ func TestPrepareMetricQueryCumulativeRate(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative, multiple group by",
@ -227,7 +227,7 @@ func TestPrepareMetricQueryCumulativeRate(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
},
}
@ -268,7 +268,7 @@ func TestPrepareMetricQueryDeltaRate(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test time aggregation = rate, space aggregation = sum, temporality = delta, group by service_name",
@ -294,7 +294,7 @@ func TestPrepareMetricQueryDeltaRate(t *testing.T) {
TimeAggregation: v3.TimeAggregationRate,
SpaceAggregation: v3.SpaceAggregationSum,
},
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
}
@ -349,7 +349,7 @@ func TestPrepreMetricQueryCumulativeQuantile(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test temporality = cumulative, quantile = 0.99 without group by",
@ -379,7 +379,7 @@ func TestPrepreMetricQueryCumulativeQuantile(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
},
}
@ -434,7 +434,7 @@ func TestPrepreMetricQueryDeltaQuantile(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
},
{
name: "test temporality = delta, quantile = 0.99 no group by",
@ -464,7 +464,7 @@ func TestPrepreMetricQueryDeltaQuantile(t *testing.T) {
Disabled: false,
SpaceAggregation: v3.SpaceAggregationPercentile99,
},
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
},
}
@ -505,7 +505,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
SpaceAggregation: v3.SpaceAggregationSum,
Disabled: false,
},
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
},
{
name: "test value filter with string value",
@ -562,7 +562,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
Expression: "A",
Disabled: false,
},
expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
},
{
name: "test gauge query with multiple group by with metric and attribute name containing dot",
@ -631,7 +631,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
ReduceTo: v3.ReduceToOperatorAvg,
Having: []v3.Having{},
},
expectedQueryContains: "SELECT `os.type`, state, `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`os.type`) as `os.type`, any(state) as state, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `os.type`, state, `host.name`, ts ORDER BY `os.type` desc, state asc, `host.name` ASC, ts ASC",
expectedQueryContains: "SELECT `os.type`, state, `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`os.type`) as `os.type`, any(state) as state, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `os.type`, state, `host.name`, ts ORDER BY `os.type` desc, state asc, `host.name` ASC, ts ASC",
},
}
@ -711,7 +711,7 @@ func TestPrepareMetricQueryValueTypePanelWithGroupBY(t *testing.T) {
},
},
},
expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Delta' AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC) GROUP BY ts ORDER BY ts",
expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC) GROUP BY ts ORDER BY ts",
},
{
name: "test temporality = cumulative, panel = value, series agg = max group by state, host_name",
@ -777,7 +777,7 @@ func TestPrepareMetricQueryValueTypePanelWithGroupBY(t *testing.T) {
},
},
},
expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, host_name, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Cumulative' AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, host_name, ts ORDER BY state desc, host_name ASC, ts ASC) GROUP BY ts ORDER BY ts",
expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, host_name, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, host_name, ts ORDER BY state desc, host_name ASC, ts ASC) GROUP BY ts ORDER BY ts",
},
}

10
pkg/query-service/app/queryBuilder/query_builder_test.go
View File

@ -59,7 +59,7 @@ func TestBuildQueryWithMultipleQueriesAndFormula(t *testing.T) {
require.NoError(t, err)
require.Contains(t, queries["C"], "SELECT A.`ts` as `ts`, A.value / B.value")
require.Contains(t, queries["C"], "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'in') IN ['a','b','c']")
require.Contains(t, queries["C"], "WHERE metric_name IN ['name'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'in') IN ['a','b','c']")
require.Contains(t, queries["C"], "(value - lagInFrame(value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window)))")
})
}
@ -342,7 +342,7 @@ func TestBuildQueryWithThreeOrMoreQueriesRefAndFormula(t *testing.T) {
qb := NewQueryBuilder(qbOptions, fm)
queries, err := qb.PrepareQueries(q)
require.Contains(t, queries["F1"], "SELECT A.`os.type` as `os.type`, A.`ts` as `ts`, A.value + B.value as value FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036080000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` ASC, ts) as A INNER JOIN (SELECT * FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.network.io'] AND temporality = '' AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system.network.io'] AND unix_milli >= 1735036020000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` ASC, ts) HAVING value > 4) as B ON A.`os.type` = B.`os.type` AND A.`ts` = B.`ts`")
require.Contains(t, queries["F1"], "SELECT A.`os.type` as `os.type`, A.`ts` as `ts`, A.value + B.value as value FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = '' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000 AND JSONExtractString(labels, 'os.type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735036080000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` ASC, ts) as A INNER JOIN (SELECT * FROM (SELECT `os.type`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value) as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.network.io'] AND temporality = '' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637880000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system.network.io'] AND unix_milli >= 1735036020000 AND unix_milli < 1735637880000 GROUP BY `os.type`, ts ORDER BY `os.type` ASC, ts) HAVING value > 4) as B ON A.`os.type` = B.`os.type` AND A.`ts` = B.`ts`")
require.NoError(t, err)
})
@ -391,7 +391,7 @@ func TestDeltaQueryBuilder(t *testing.T) {
},
},
queryToTest: "A",
expected: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts",
expected: "SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts",
},
{
name: "TestQueryWithExpression - Error rate",
@ -461,7 +461,7 @@ func TestDeltaQueryBuilder(t *testing.T) {
},
},
queryToTest: "C",
expected: "SELECT A.`ts` as `ts`, A.value * 100 / B.value as value FROM (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, 'status_code') IN ['STATUS_CODE_ERROR'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts) as A INNER JOIN (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts) as B ON A.`ts` = B.`ts`",
expected: "SELECT A.`ts` as `ts`, A.value * 100 / B.value as value FROM (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, 'status_code') IN ['STATUS_CODE_ERROR'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts) as A INNER JOIN (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_count'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_count'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY ts ORDER BY ts) as B ON A.`ts` = B.`ts`",
},
{
name: "TestQuery - Quantile",
@ -489,7 +489,7 @@ func TestDeltaQueryBuilder(t *testing.T) {
},
},
queryToTest: "A",
expected: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) as value FROM (SELECT service_name,le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
expected: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) as value FROM (SELECT service_name,le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli <= 1651078380000 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
},
}