535 lines
26 KiB
Go
535 lines
26 KiB
Go
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package v4
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import (
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"testing"
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"github.com/stretchr/testify/assert"
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metricsV3 "go.signoz.io/signoz/pkg/query-service/app/metrics/v3"
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"go.signoz.io/signoz/pkg/query-service/app/metrics/v4/helpers"
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v3 "go.signoz.io/signoz/pkg/query-service/model/v3"
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)
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func TestPrepareTimeseriesFilterQuery(t *testing.T) {
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testCases := []struct {
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name string
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builderQuery *v3.BuilderQuery
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expectedQueryContains string
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}{
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{
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name: "test prepare time series with no filters and no group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "http_requests",
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DataType: v3.AttributeKeyDataTypeFloat64,
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Type: v3.AttributeKeyTypeUnspecified,
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IsColumn: true,
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IsJSON: false,
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},
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Temporality: v3.Delta,
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Expression: "A",
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Disabled: false,
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// remaining struct fields are not needed here
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},
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expectedQueryContains: "SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name = 'http_requests' AND temporality = 'Delta' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
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},
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{
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name: "test prepare time series with no filters and group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "http_requests",
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DataType: v3.AttributeKeyDataTypeFloat64,
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Type: v3.AttributeKeyTypeUnspecified,
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IsColumn: true,
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IsJSON: false,
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},
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Temporality: v3.Cumulative,
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GroupBy: []v3.AttributeKey{{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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}},
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Expression: "A",
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Disabled: false,
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// remaining struct fields are not needed here
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},
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expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name = 'http_requests' AND temporality = 'Cumulative' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
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},
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{
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name: "test prepare time series with no filters and multiple group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "http_requests",
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DataType: v3.AttributeKeyDataTypeFloat64,
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Type: v3.AttributeKeyTypeUnspecified,
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IsColumn: true,
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IsJSON: false,
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},
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Temporality: v3.Cumulative,
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GroupBy: []v3.AttributeKey{
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{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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},
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{
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Key: "endpoint",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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},
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},
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Expression: "A",
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Disabled: false,
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// remaining struct fields are not needed here
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},
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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 = 'http_requests' AND temporality = 'Cumulative' AND unix_milli >= 1706428800000 AND unix_milli < 1706434026000",
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},
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{
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name: "test prepare time series with filters and multiple group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "http_requests",
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DataType: v3.AttributeKeyDataTypeFloat64,
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Type: v3.AttributeKeyTypeUnspecified,
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IsColumn: true,
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IsJSON: false,
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},
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Temporality: v3.Cumulative,
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Filters: &v3.FilterSet{
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Operator: "AND",
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Items: []v3.FilterItem{
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{
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Key: v3.AttributeKey{
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Key: "service_name",
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Type: v3.AttributeKeyTypeTag,
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DataType: v3.AttributeKeyDataTypeString,
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},
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Operator: v3.FilterOperatorNotEqual,
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Value: "payment_service",
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},
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{
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Key: v3.AttributeKey{
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Key: "endpoint",
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Type: v3.AttributeKeyTypeTag,
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DataType: v3.AttributeKeyDataTypeString,
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},
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Operator: v3.FilterOperatorIn,
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Value: []interface{}{"/paycallback", "/payme", "/paypal"},
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},
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},
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},
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GroupBy: []v3.AttributeKey{{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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}},
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Expression: "A",
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Disabled: false,
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// remaining struct fields are not needed here
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},
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expectedQueryContains: "SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name = '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']",
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},
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}
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for _, testCase := range testCases {
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t.Run(testCase.name, func(t *testing.T) {
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// 1706432226000 - 2:27:06 PM (IST)
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// 1706434026000 - 2:57:06 PM (IST)
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query, err := helpers.PrepareTimeseriesFilterQuery(1706432226000, 1706434026000, testCase.builderQuery)
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assert.Nil(t, err)
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assert.Contains(t, query, testCase.expectedQueryContains)
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})
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}
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}
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func TestPrepareMetricQueryCumulativeRate(t *testing.T) {
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testCases := []struct {
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name string
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builderQuery *v3.BuilderQuery
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expectedQueryContains string
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}{
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{
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name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "signoz_calls_total",
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},
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Temporality: v3.Cumulative,
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Filters: &v3.FilterSet{
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Operator: "AND",
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Items: []v3.FilterItem{
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{
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Key: v3.AttributeKey{
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Key: "service_name",
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Type: v3.AttributeKeyTypeTag,
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DataType: v3.AttributeKeyDataTypeString,
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},
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Operator: v3.FilterOperatorContains,
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Value: "frontend",
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},
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},
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},
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GroupBy: []v3.AttributeKey{{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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}},
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Expression: "A",
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Disabled: false,
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TimeAggregation: v3.TimeAggregationRate,
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SpaceAggregation: v3.SpaceAggregationSum,
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},
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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 = '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 = '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",
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},
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{
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name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative, multiple group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "signoz_calls_total",
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},
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Temporality: v3.Cumulative,
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Filters: &v3.FilterSet{
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Operator: "AND",
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Items: []v3.FilterItem{},
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},
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GroupBy: []v3.AttributeKey{
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{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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},
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{
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Key: "endpoint",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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},
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},
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Expression: "A",
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Disabled: false,
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TimeAggregation: v3.TimeAggregationRate,
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SpaceAggregation: v3.SpaceAggregationSum,
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},
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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 = 'signoz_calls_total' AND temporality = 'Cumulative' AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name = '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",
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},
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}
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for _, testCase := range testCases {
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t.Run(testCase.name, func(t *testing.T) {
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// 1650991982000 - April 26, 2022 10:23:02 PM
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// 1651078382000 - April 27, 2022 10:23:02 PM
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query, err := PrepareMetricQuery(1650991982000, 1651078382000, v3.QueryTypeBuilder, v3.PanelTypeGraph, testCase.builderQuery, metricsV3.Options{})
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assert.Nil(t, err)
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assert.Contains(t, query, testCase.expectedQueryContains)
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})
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}
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}
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func TestPrepareMetricQueryDeltaRate(t *testing.T) {
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testCases := []struct {
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name string
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builderQuery *v3.BuilderQuery
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expectedQueryContains string
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}{
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{
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name: "test time aggregation = rate, space aggregation = sum, temporality = delta, no group by",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "signoz_calls_total",
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},
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Temporality: v3.Delta,
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Filters: &v3.FilterSet{
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Operator: "AND",
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Items: []v3.FilterItem{},
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},
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Expression: "A",
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Disabled: false,
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TimeAggregation: v3.TimeAggregationRate,
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SpaceAggregation: v3.SpaceAggregationSum,
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},
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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_6hrs WHERE metric_name = 'signoz_calls_total' AND temporality = 'Delta' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_calls_total' AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
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},
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{
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name: "test time aggregation = rate, space aggregation = sum, temporality = delta, group by service_name",
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builderQuery: &v3.BuilderQuery{
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QueryName: "A",
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StepInterval: 60,
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DataSource: v3.DataSourceMetrics,
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AggregateAttribute: v3.AttributeKey{
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Key: "signoz_calls_total",
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},
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Temporality: v3.Delta,
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Filters: &v3.FilterSet{
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Operator: "AND",
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Items: []v3.FilterItem{},
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},
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GroupBy: []v3.AttributeKey{{
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Key: "service_name",
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DataType: v3.AttributeKeyDataTypeString,
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Type: v3.AttributeKeyTypeTag,
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}},
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Expression: "A",
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Disabled: false,
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TimeAggregation: v3.TimeAggregationRate,
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SpaceAggregation: v3.SpaceAggregationSum,
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},
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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_6hrs WHERE metric_name = 'signoz_calls_total' AND temporality = 'Delta' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_calls_total' AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
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},
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}
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for _, testCase := range testCases {
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t.Run(testCase.name, func(t *testing.T) {
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query, err := PrepareMetricQuery(1650991982000, 1651078382000, v3.QueryTypeBuilder, v3.PanelTypeGraph, testCase.builderQuery, metricsV3.Options{})
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assert.Nil(t, err)
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assert.Contains(t, query, testCase.expectedQueryContains)
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})
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}
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}
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func TestPrepreMetricQueryCumulativeQuantile(t *testing.T) {
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testCases := []struct {
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name string
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|
|
builderQuery *v3.BuilderQuery
|
||
|
|
expectedQueryContains string
|
||
|
|
}{
|
||
|
|
{
|
||
|
|
name: "test temporality = cumulative, quantile = 0.99",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "signoz_latency_bucket",
|
||
|
|
},
|
||
|
|
Temporality: v3.Cumulative,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{
|
||
|
|
{
|
||
|
|
Key: v3.AttributeKey{
|
||
|
|
Key: "service_name",
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
},
|
||
|
|
Operator: v3.FilterOperatorContains,
|
||
|
|
Value: "frontend",
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
GroupBy: []v3.AttributeKey{{
|
||
|
|
Key: "service_name",
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
}},
|
||
|
|
Expression: "A",
|
||
|
|
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_6hrs WHERE metric_name = 'signoz_latency_bucket' AND temporality = 'Cumulative' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "signoz_latency_bucket",
|
||
|
|
},
|
||
|
|
Temporality: v3.Cumulative,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{
|
||
|
|
{
|
||
|
|
Key: v3.AttributeKey{
|
||
|
|
Key: "service_name",
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
},
|
||
|
|
Operator: v3.FilterOperatorContains,
|
||
|
|
Value: "frontend",
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
Expression: "A",
|
||
|
|
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_6hrs WHERE metric_name = 'signoz_latency_bucket' AND temporality = 'Cumulative' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
},
|
||
|
|
}
|
||
|
|
|
||
|
|
for _, testCase := range testCases {
|
||
|
|
t.Run(testCase.name, func(t *testing.T) {
|
||
|
|
query, err := PrepareMetricQuery(1650991982000, 1651078382000, v3.QueryTypeBuilder, v3.PanelTypeGraph, testCase.builderQuery, metricsV3.Options{})
|
||
|
|
assert.Nil(t, err)
|
||
|
|
assert.Contains(t, query, testCase.expectedQueryContains)
|
||
|
|
})
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
func TestPrepreMetricQueryDeltaQuantile(t *testing.T) {
|
||
|
|
testCases := []struct {
|
||
|
|
name string
|
||
|
|
builderQuery *v3.BuilderQuery
|
||
|
|
expectedQueryContains string
|
||
|
|
}{
|
||
|
|
{
|
||
|
|
name: "test temporality = delta, quantile = 0.99 group by service_name",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "signoz_latency_bucket",
|
||
|
|
},
|
||
|
|
Temporality: v3.Delta,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{
|
||
|
|
{
|
||
|
|
Key: v3.AttributeKey{
|
||
|
|
Key: "service_name",
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
},
|
||
|
|
Operator: v3.FilterOperatorContains,
|
||
|
|
Value: "frontend",
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
GroupBy: []v3.AttributeKey{{
|
||
|
|
Key: "service_name",
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
}},
|
||
|
|
Expression: "A",
|
||
|
|
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_6hrs WHERE metric_name = 'signoz_latency_bucket' AND temporality = 'Delta' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "signoz_latency_bucket",
|
||
|
|
},
|
||
|
|
Temporality: v3.Delta,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{
|
||
|
|
{
|
||
|
|
Key: v3.AttributeKey{
|
||
|
|
Key: "service_name",
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
},
|
||
|
|
Operator: v3.FilterOperatorContains,
|
||
|
|
Value: "frontend",
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
Expression: "A",
|
||
|
|
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_6hrs WHERE metric_name = 'signoz_latency_bucket' AND temporality = 'Delta' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
},
|
||
|
|
}
|
||
|
|
|
||
|
|
for _, testCase := range testCases {
|
||
|
|
t.Run(testCase.name, func(t *testing.T) {
|
||
|
|
query, err := PrepareMetricQuery(1650991982000, 1651078382000, v3.QueryTypeBuilder, v3.PanelTypeGraph, testCase.builderQuery, metricsV3.Options{})
|
||
|
|
assert.Nil(t, err)
|
||
|
|
assert.Contains(t, query, testCase.expectedQueryContains)
|
||
|
|
})
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
func TestPrepareMetricQueryGauge(t *testing.T) {
|
||
|
|
testCases := []struct {
|
||
|
|
name string
|
||
|
|
builderQuery *v3.BuilderQuery
|
||
|
|
expectedQueryContains string
|
||
|
|
}{
|
||
|
|
{
|
||
|
|
name: "test gauge query with no group by",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "system_cpu_usage",
|
||
|
|
},
|
||
|
|
Temporality: v3.Unspecified,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{},
|
||
|
|
},
|
||
|
|
Expression: "A",
|
||
|
|
TimeAggregation: v3.TimeAggregationAvg,
|
||
|
|
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_6hrs WHERE metric_name = 'system_cpu_usage' AND temporality = 'Unspecified' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
builderQuery: &v3.BuilderQuery{
|
||
|
|
QueryName: "A",
|
||
|
|
StepInterval: 60,
|
||
|
|
DataSource: v3.DataSourceMetrics,
|
||
|
|
AggregateAttribute: v3.AttributeKey{
|
||
|
|
Key: "system_cpu_usage",
|
||
|
|
},
|
||
|
|
Temporality: v3.Unspecified,
|
||
|
|
Filters: &v3.FilterSet{
|
||
|
|
Operator: "AND",
|
||
|
|
Items: []v3.FilterItem{},
|
||
|
|
},
|
||
|
|
GroupBy: []v3.AttributeKey{{
|
||
|
|
Key: "host_name",
|
||
|
|
DataType: v3.AttributeKeyDataTypeString,
|
||
|
|
Type: v3.AttributeKeyTypeTag,
|
||
|
|
}},
|
||
|
|
TimeAggregation: v3.TimeAggregationAvg,
|
||
|
|
SpaceAggregation: v3.SpaceAggregationSum,
|
||
|
|
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_6hrs WHERE metric_name = 'system_cpu_usage' AND temporality = 'Unspecified' AND unix_milli >= 1650974400000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name = '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",
|
||
|
|
},
|
||
|
|
}
|
||
|
|
|
||
|
|
for _, testCase := range testCases {
|
||
|
|
t.Run(testCase.name, func(t *testing.T) {
|
||
|
|
query, err := PrepareMetricQuery(1650991982000, 1651078382000, v3.QueryTypeBuilder, v3.PanelTypeGraph, testCase.builderQuery, metricsV3.Options{})
|
||
|
|
assert.Nil(t, err)
|
||
|
|
assert.Contains(t, query, testCase.expectedQueryContains)
|
||
|
|
})
|
||
|
|
}
|
||
|
|
}
|