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Author SHA1 Message Date
primus-bot[bot]
b71de5b561 chore(release): bump to v0.121.0 (#11139)
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Co-authored-by: primus-bot[bot] <171087277+primus-bot[bot]@users.noreply.github.com>
2026-04-29 16:08:15 +00:00
6 changed files with 19 additions and 82 deletions

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@@ -190,7 +190,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:v0.120.0
image: signoz/signoz:v0.121.0
ports:
- "8080:8080" # signoz port
# - "6060:6060" # pprof port

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@@ -117,7 +117,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:v0.120.0
image: signoz/signoz:v0.121.0
ports:
- "8080:8080" # signoz port
volumes:

View File

@@ -181,7 +181,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:${VERSION:-v0.120.0}
image: signoz/signoz:${VERSION:-v0.121.0}
container_name: signoz
ports:
- "8080:8080" # signoz port

View File

@@ -109,7 +109,7 @@ services:
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
signoz:
!!merge <<: *db-depend
image: signoz/signoz:${VERSION:-v0.120.0}
image: signoz/signoz:${VERSION:-v0.121.0}
container_name: signoz
ports:
- "8080:8080" # signoz port

View File

@@ -627,27 +627,17 @@ func convertTimeSeriesDataToScalar(tsData *qbtypes.TimeSeriesData, queryName str
return &qbtypes.ScalarData{QueryName: queryName}
}
// Series can have ragged label sets; build the column schema from the
// union of all label keys (first-seen order) and fill rows by key lookup.
keyOrder := []telemetrytypes.TelemetryFieldKey{}
keyIndex := map[string]int{}
for _, series := range tsData.Aggregations[0].Series {
for _, label := range series.Labels {
if _, ok := keyIndex[label.Key.Name]; ok {
continue
}
keyIndex[label.Key.Name] = len(keyOrder)
keyOrder = append(keyOrder, label.Key)
}
}
columns := []*qbtypes.ColumnDescriptor{}
columns := make([]*qbtypes.ColumnDescriptor, 0, len(keyOrder)+len(tsData.Aggregations))
for _, key := range keyOrder {
columns = append(columns, &qbtypes.ColumnDescriptor{
TelemetryFieldKey: key,
QueryName: queryName,
Type: qbtypes.ColumnTypeGroup,
})
// Add group columns from first series
if len(tsData.Aggregations[0].Series) > 0 {
for _, label := range tsData.Aggregations[0].Series[0].Labels {
columns = append(columns, &qbtypes.ColumnDescriptor{
TelemetryFieldKey: label.Key,
QueryName: queryName,
Type: qbtypes.ColumnTypeGroup,
})
}
}
// Add aggregation columns
@@ -665,18 +655,18 @@ func convertTimeSeriesDataToScalar(tsData *qbtypes.TimeSeriesData, queryName str
})
}
// Build rows.
groupColCount := len(keyOrder)
// Build rows
data := [][]any{}
for seriesIdx, series := range tsData.Aggregations[0].Series {
row := make([]any, len(columns))
// Place each label under its key's column (by lookup, not index).
for _, label := range series.Labels {
row[keyIndex[label.Key.Name]] = label.Value
// Add group values
for i, label := range series.Labels {
row[i] = label.Value
}
// Add aggregation values (last value)
groupColCount := len(series.Labels)
for aggIdx, agg := range tsData.Aggregations {
if seriesIdx < len(agg.Series) && len(agg.Series[seriesIdx].Values) > 0 {
lastValue := agg.Series[seriesIdx].Values[len(agg.Series[seriesIdx].Values)-1].Value

View File

@@ -1,53 +0,0 @@
package querier
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
)
// Multiple series with different number of labels, shouldn't panic and should align labels correctly.
func TestConvertTimeSeriesDataToScalar_RaggedLabels(t *testing.T) {
label := func(name string, value any) *qbtypes.Label {
return &qbtypes.Label{
Key: telemetrytypes.TelemetryFieldKey{Name: name},
Value: value,
}
}
series := func(labels []*qbtypes.Label, value float64) *qbtypes.TimeSeries {
return &qbtypes.TimeSeries{
Labels: labels,
Values: []*qbtypes.TimeSeriesValue{{Timestamp: 1, Value: value}},
}
}
tsData := &qbtypes.TimeSeriesData{
QueryName: "A",
Aggregations: []*qbtypes.AggregationBucket{{
Index: 0,
Series: []*qbtypes.TimeSeries{
series([]*qbtypes.Label{label("label_1", "orphan-0")}, 20),
series([]*qbtypes.Label{label("label_1", "box-0"), label("label_2", "rpc-0")}, 10),
},
}},
}
var sd *qbtypes.ScalarData
require.NotPanics(t, func() {
sd = convertTimeSeriesDataToScalar(tsData, "A")
})
require.NotNil(t, sd)
require.Len(t, sd.Columns, 3)
assert.Equal(t, "label_1", sd.Columns[0].Name)
assert.Equal(t, "label_2", sd.Columns[1].Name)
assert.Equal(t, "__result_0", sd.Columns[2].Name)
require.Len(t, sd.Data, 2)
assert.Equal(t, []any{"orphan-0", nil, 20.0}, sd.Data[0])
assert.Equal(t, []any{"box-0", "rpc-0", 10.0}, sd.Data[1])
}