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feat(telemetry/meter): fix stmnt builder tests

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vikrantgupta25 2025-07-31 13:05:35 +05:30
parent f4cf7eb92e
commit 540ad965db
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1 changed files with 102 additions and 102 deletions
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204
pkg/telemetrymeter/stmt_builder_test.go
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@ -22,77 +22,77 @@ func TestStatementBuilder(t *testing.T) {
expected qbtypes.Statement
expectedErr error
}{
// {
// name: "test_cumulative_rate_sum",
// requestType: qbtypes.RequestTypeTimeSeries,
// query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
// Signal: telemetrytypes.SignalMetrics,
// StepInterval: qbtypes.Step{Duration: 30 * time.Second},
// Aggregations: []qbtypes.MetricAggregation{
// {
// MetricName: "signoz_calls_total",
// Type: metrictypes.SumType,
// Temporality: metrictypes.Cumulative,
// TimeAggregation: metrictypes.TimeAggregationRate,
// SpaceAggregation: metrictypes.SpaceAggregationSum,
// },
// },
// Filter: &qbtypes.Filter{
// Expression: "service.name = 'cartservice'",
// },
// Limit: 10,
// GroupBy: []qbtypes.GroupByKey{
// {
// TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
// Name: "service.name",
// },
// },
// },
// },
// expected: qbtypes.Statement{
// Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
// Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
// },
// expectedErr: nil,
// },
// {
// name: "test_delta_rate_sum",
// requestType: qbtypes.RequestTypeTimeSeries,
// query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
// Signal: telemetrytypes.SignalMetrics,
// StepInterval: qbtypes.Step{Duration: 30 * time.Second},
// Aggregations: []qbtypes.MetricAggregation{
// {
// MetricName: "signoz_calls_total",
// Type: metrictypes.SumType,
// Temporality: metrictypes.Delta,
// TimeAggregation: metrictypes.TimeAggregationRate,
// SpaceAggregation: metrictypes.SpaceAggregationSum,
// },
// },
// Filter: &qbtypes.Filter{
// Expression: "service.name = 'cartservice'",
// },
// Limit: 10,
// GroupBy: []qbtypes.GroupByKey{
// {
// TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
// Name: "service.name",
// },
// },
// },
// },
// expected: qbtypes.Statement{
// Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_meter.distributed_samples AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
// Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_calls_total", uint64(1747947390000), uint64(1747983420000)},
// },
// expectedErr: nil,
// },
{
name: "test_cumulative_rate_sum",
requestType: qbtypes.RequestTypeTimeSeries,
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
Signal: telemetrytypes.SignalMeter,
StepInterval: qbtypes.Step{Duration: 24 * time.Hour},
Aggregations: []qbtypes.MetricAggregation{
{
MetricName: "signoz_calls_total",
Type: metrictypes.SumType,
Temporality: metrictypes.Cumulative,
TimeAggregation: metrictypes.TimeAggregationRate,
SpaceAggregation: metrictypes.SpaceAggregationSum,
},
},
Filter: &qbtypes.Filter{
Expression: "service.name = 'cartservice'",
},
Limit: 10,
GroupBy: []qbtypes.GroupByKey{
{
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
Name: "service.name",
},
},
},
},
expected: qbtypes.Statement{
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747785600000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747785600000))) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, max(max) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
Args: []any{"signoz_calls_total", uint64(1747785600000), uint64(1747983420000), "cartservice", "cumulative", 0},
},
expectedErr: nil,
},
{
name: "test_delta_rate_sum",
requestType: qbtypes.RequestTypeTimeSeries,
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
Signal: telemetrytypes.SignalMeter,
StepInterval: qbtypes.Step{Duration: 24 * time.Hour},
Aggregations: []qbtypes.MetricAggregation{
{
MetricName: "signoz_calls_total",
Type: metrictypes.SumType,
Temporality: metrictypes.Delta,
TimeAggregation: metrictypes.TimeAggregationRate,
SpaceAggregation: metrictypes.SpaceAggregationSum,
},
},
Filter: &qbtypes.Filter{
Expression: "service.name = 'cartservice'",
},
Limit: 10,
GroupBy: []qbtypes.GroupByKey{
{
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
Name: "service.name",
},
},
},
},
expected: qbtypes.Statement{
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(sum)/86400 AS value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
Args: []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta"},
},
expectedErr: nil,
},
{
name: "test_delta_rate_avg",
requestType: qbtypes.RequestTypeTimeSeries,
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
Signal: telemetrytypes.SignalMetrics,
Signal: telemetrytypes.SignalMeter,
StepInterval: qbtypes.Step{Duration: 24 * time.Hour},
Aggregations: []qbtypes.MetricAggregation{
{
@ -116,44 +116,44 @@ func TestStatementBuilder(t *testing.T) {
},
},
expected: qbtypes.Statement{
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_meter.distributed_samples AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_calls_total", uint64(1747947390000), uint64(1747983420000)},
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(sum)/86400 AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `service.name`, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
Args: []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta", 0},
},
expectedErr: nil,
},
{
name: "test_gauge_avg_sum",
requestType: qbtypes.RequestTypeTimeSeries,
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
Signal: telemetrytypes.SignalMeter,
StepInterval: qbtypes.Step{Duration: 24 * time.Hour},
Aggregations: []qbtypes.MetricAggregation{
{
MetricName: "system.memory.usage",
Type: metrictypes.GaugeType,
Temporality: metrictypes.Unspecified,
TimeAggregation: metrictypes.TimeAggregationAvg,
SpaceAggregation: metrictypes.SpaceAggregationSum,
},
},
Filter: &qbtypes.Filter{
Expression: "host.name = 'big-data-node-1'",
},
Limit: 10,
GroupBy: []qbtypes.GroupByKey{
{
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
Name: "host.name",
},
},
},
},
expected: qbtypes.Statement{
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'host.name') AS `host.name`, sum(sum) / sum(count) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'host.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte",
Args: []any{"system.memory.usage", uint64(1747872000000), uint64(1747983420000), "big-data-node-1", "unspecified", 0},
},
expectedErr: nil,
},
// {
// name: "test_gauge_avg_sum",
// requestType: qbtypes.RequestTypeTimeSeries,
// query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
// Signal: telemetrytypes.SignalMetrics,
// StepInterval: qbtypes.Step{Duration: 30 * time.Second},
// Aggregations: []qbtypes.MetricAggregation{
// {
// MetricName: "system.memory.usage",
// Type: metrictypes.GaugeType,
// Temporality: metrictypes.Unspecified,
// TimeAggregation: metrictypes.TimeAggregationAvg,
// SpaceAggregation: metrictypes.SpaceAggregationSum,
// },
// },
// Filter: &qbtypes.Filter{
// Expression: "host.name = 'big-data-node-1'",
// },
// Limit: 10,
// GroupBy: []qbtypes.GroupByKey{
// {
// TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
// Name: "host.name",
// },
// },
// },
// },
// expected: qbtypes.Statement{
// Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `host.name`, avg(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'host.name') AS `host.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint, `host.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte",
// Args: []any{"system.memory.usage", uint64(1747936800000), uint64(1747983420000), "unspecified", false, "big-data-node-1", "system.memory.usage", uint64(1747947390000), uint64(1747983420000), 0},
// },
// expectedErr: nil,
// },
}
fm := telemetrymetrics.NewFieldMapper()