[Spanmetrics] Add events_total metric to get the measurement for list…

… of configured event attributes for a span (#27811)

**Description:**
We have an events section for a span. The details for all the exceptions
like exception.type and exception.message are recorded as Events for a
span. Right now, we don't have a feature to add event attributes to span
metrics.

The idea of this PR is to develop a feature which adds a new metric
`events_total` with a default set of dimensions like `service_name,
span_name, span_kind, status_code`. We can configure to add additional
set of dimensions like `exception.type` and `exception.message` which
will be fetched from the Events section for a span

**Link to tracking Issue:**
[27451](#27451)

---------

Co-authored-by: Albert <[email protected]>

.chloggen/events-metric-to-span-metrics.yaml

@@ -0,0 +1,27 @@
+# Use this changelog template to create an entry for release notes.
+
+# One of 'breaking', 'deprecation', 'new_component', 'enhancement', 'bug_fix'
+change_type: enhancement
+
+# The name of the component, or a single word describing the area of concern, (e.g. filelogreceiver)
+component: spanmetricsconnector
+
+# A brief description of the change.  Surround your text with quotes ("") if it needs to start with a backtick (`).
+note: Add Events metric to span metrics connector that adds list of event attributes as dimensions
+
+# Mandatory: One or more tracking issues related to the change. You can use the PR number here if no issue exists.
+issues: [27451]
+
+# (Optional) One or more lines of additional information to render under the primary note.
+# These lines will be padded with 2 spaces and then inserted directly into the document.
+# Use pipe (|) for multiline entries.
+subtext:
+
+# If your change doesn't affect end users or the exported elements of any package,
+# you should instead start your pull request title with [chore] or use the "Skip Changelog" label.
+# Optional: The change log or logs in which this entry should be included.
+# e.g. '[user]' or '[user, api]'
+# Include 'user' if the change is relevant to end users.
+# Include 'api' if there is a change to a library API.
+# Default: '[user]'
+change_logs: []

connector/spanmetricsconnector/README.md

@@ -102,6 +102,9 @@ The following settings can be optionally configured:
 - `metrics_flush_interval` (default: `15s`): Defines the flush interval of the generated metrics.
 - `exemplars`:  Use to configure how to attach exemplars to histograms
   - `enabled` (default: `false`): enabling will add spans as Exemplars.
+- `events`: Use to configure the events metric.
+  - `enabled`: (default: `false`): enabling will add the events metric.
+  - `dimensions`: (mandatory if `enabled`) the list of the span's event attributes to add as dimensions to the events metric, which will be included _on top of_ the common and configured `dimensions` for span and resource attributes.
 
 ## Examples
 
@@ -132,7 +135,12 @@ connectors:
     exclude_dimensions: ['status.code']
     dimensions_cache_size: 1000
     aggregation_temporality: "AGGREGATION_TEMPORALITY_CUMULATIVE"    
-    metrics_flush_interval: 15s 
+    metrics_flush_interval: 15s
+    events:
+      enabled: true
+      dimensions:
+        - name: exception.type
+        - name: exception.message
 
 service:
   pipelines:

connector/spanmetricsconnector/config.go

@@ -58,6 +58,9 @@ type Config struct {
 
 	// Exemplars defines the configuration for exemplars.
 	Exemplars ExemplarsConfig `mapstructure:"exemplars"`
+
+	// Events defines the configuration for events section of spans.
+	Events EventsConfig `mapstructure:"events"`
 }
 
 type HistogramConfig struct {
@@ -80,13 +83,22 @@ type ExplicitHistogramConfig struct {
 	Buckets []time.Duration `mapstructure:"buckets"`
 }
 
+type EventsConfig struct {
+	// Enabled is a flag to enable events.
+	Enabled bool `mapstructure:"enabled"`
+	// Dimensions defines the list of dimensions to add to the events metric.
+	Dimensions []Dimension `mapstructure:"dimensions"`
+}
+
 var _ component.ConfigValidator = (*Config)(nil)
 
 // Validate checks if the processor configuration is valid
 func (c Config) Validate() error {
-	err := validateDimensions(c.Dimensions)
-	if err != nil {
-		return err
+	if err := validateDimensions(c.Dimensions); err != nil {
+		return fmt.Errorf("failed validating dimensions: %w", err)
+	}
+	if err := validateEventDimensions(c.Events.Enabled, c.Events.Dimensions); err != nil {
+		return fmt.Errorf("failed validating event dimensions: %w", err)
 	}
 
 	if c.DimensionsCacheSize <= 0 {
@@ -99,6 +111,7 @@ func (c Config) Validate() error {
 	if c.Histogram.Explicit != nil && c.Histogram.Exponential != nil {
 		return errors.New("use either `explicit` or `exponential` buckets histogram")
 	}
+
 	return nil
 }
 
@@ -127,3 +140,14 @@ func validateDimensions(dimensions []Dimension) error {
 
 	return nil
 }
+
+// validateEventDimensions checks for empty and duplicates for the dimensions configured.
+func validateEventDimensions(enabled bool, dimensions []Dimension) error {
+	if !enabled {
+		return nil
+	}
+	if len(dimensions) == 0 {
+		return fmt.Errorf("no dimensions configured for events")
+	}
+	return validateDimensions(dimensions)
+}

connector/spanmetricsconnector/config_test.go

@@ -171,3 +171,47 @@ func TestValidateDimensions(t *testing.T) {
 		})
 	}
 }
+
+func TestValidateEventDimensions(t *testing.T) {
+	for _, tc := range []struct {
+		enabled     bool
+		name        string
+		dimensions  []Dimension
+		expectedErr string
+	}{
+		{
+			enabled:    false,
+			name:       "disabled - no additional dimensions",
+			dimensions: []Dimension{},
+		},
+		{
+			enabled:     true,
+			name:        "enabled - no additional dimensions",
+			dimensions:  []Dimension{},
+			expectedErr: "no dimensions configured for events",
+		},
+		{
+			enabled:    true,
+			name:       "enabled - no duplicate dimensions",
+			dimensions: []Dimension{{Name: "exception_type"}},
+		},
+		{
+			enabled: true,
+			name:    "enabled - duplicate dimensions",
+			dimensions: []Dimension{
+				{Name: "exception_type"},
+				{Name: "exception_type"},
+			},
+			expectedErr: "duplicate dimension name exception_type",
+		},
+	} {
+		t.Run(tc.name, func(t *testing.T) {
+			err := validateEventDimensions(tc.enabled, tc.dimensions)
+			if tc.expectedErr != "" {
+				assert.EqualError(t, err, tc.expectedErr)
+			} else {
+				assert.NoError(t, err)
+			}
+		})
+	}
+}

connector/spanmetricsconnector/connector.go

@@ -36,6 +36,7 @@ const (
 
 	metricNameDuration = "duration"
 	metricNameCalls    = "calls"
+	metricNameEvents   = "events"
 
 	defaultUnit = metrics.Milliseconds
 )
@@ -66,11 +67,17 @@ type connectorImp struct {
 	started bool
 
 	shutdownOnce sync.Once
+
+	// Event dimensions to add to the events metric.
+	eDimensions []dimension
+
+	events EventsConfig
 }
 
 type resourceMetrics struct {
 	histograms metrics.HistogramMetrics
 	sums       metrics.SumMetrics
+	events     metrics.SumMetrics
 	attributes pcommon.Map
 }
 
@@ -113,6 +120,8 @@ func newConnector(logger *zap.Logger, config component.Config, ticker *clock.Tic
 		metricKeyToDimensions: metricKeyToDimensionsCache,
 		ticker:                ticker,
 		done:                  make(chan struct{}),
+		eDimensions:           newDimensions(cfg.Events.Dimensions),
+		events:                cfg.Events,
 	}, nil
 }
 
@@ -245,6 +254,13 @@ func (p *connectorImp) buildMetrics() pmetric.Metrics {
 			metric.SetUnit(p.config.Histogram.Unit.String())
 			histograms.BuildMetrics(metric, p.startTimestamp, p.config.GetAggregationTemporality())
 		}
+
+		events := rawMetrics.events
+		if p.events.Enabled {
+			metric = sm.Metrics().AppendEmpty()
+			metric.SetName(buildMetricName(p.config.Namespace, metricNameEvents))
+			events.BuildMetrics(metric, p.startTimestamp, p.config.GetAggregationTemporality())
+		}
 	}
 
 	return m
@@ -288,6 +304,7 @@ func (p *connectorImp) aggregateMetrics(traces ptrace.Traces) {
 		rm := p.getOrCreateResourceMetrics(resourceAttr)
 		sums := rm.sums
 		histograms := rm.histograms
+		events := rm.events
 
 		unitDivider := unitDivider(p.config.Histogram.Unit)
 		serviceName := serviceAttr.Str()
@@ -308,7 +325,7 @@ func (p *connectorImp) aggregateMetrics(traces ptrace.Traces) {
 
 				attributes, ok := p.metricKeyToDimensions.Get(key)
 				if !ok {
-					attributes = p.buildAttributes(serviceName, span, resourceAttr)
+					attributes = p.buildAttributes(serviceName, span, resourceAttr, p.dimensions)
 					p.metricKeyToDimensions.Add(key, attributes)
 				}
 				if !p.config.Histogram.Disable {
@@ -321,6 +338,29 @@ func (p *connectorImp) aggregateMetrics(traces ptrace.Traces) {
 				// aggregate sums metrics
 				s := sums.GetOrCreate(key, attributes)
 				s.Add(1)
+
+				// aggregate events metrics
+				if p.events.Enabled {
+					for l := 0; l < span.Events().Len(); l++ {
+						event := span.Events().At(l)
+						eDimensions := p.dimensions
+						eDimensions = append(eDimensions, p.eDimensions...)
+
+						rscAndEventAttrs := pcommon.NewMap()
+						rscAndEventAttrs.EnsureCapacity(resourceAttr.Len() + event.Attributes().Len())
+						resourceAttr.CopyTo(rscAndEventAttrs)
+						event.Attributes().CopyTo(rscAndEventAttrs)
+
+						eKey := p.buildKey(serviceName, span, eDimensions, rscAndEventAttrs)
+						eAttributes, ok := p.metricKeyToDimensions.Get(eKey)
+						if !ok {
+							eAttributes = p.buildAttributes(serviceName, span, rscAndEventAttrs, eDimensions)
+							p.metricKeyToDimensions.Add(eKey, eAttributes)
+						}
+						e := events.GetOrCreate(eKey, eAttributes)
+						e.Add(1)
+					}
+				}
 			}
 		}
 	}
@@ -346,6 +386,7 @@ func (p *connectorImp) getOrCreateResourceMetrics(attr pcommon.Map) *resourceMet
 		v = &resourceMetrics{
 			histograms: initHistogramMetrics(p.config),
 			sums:       metrics.NewSumMetrics(),
+			events:     metrics.NewSumMetrics(),
 			attributes: attr,
 		}
 		p.resourceMetrics[key] = v
@@ -363,9 +404,9 @@ func contains(elements []string, value string) bool {
 	return false
 }
 
-func (p *connectorImp) buildAttributes(serviceName string, span ptrace.Span, resourceAttrs pcommon.Map) pcommon.Map {
+func (p *connectorImp) buildAttributes(serviceName string, span ptrace.Span, resourceAttrs pcommon.Map, dimensions []dimension) pcommon.Map {
 	attr := pcommon.NewMap()
-	attr.EnsureCapacity(4 + len(p.dimensions))
+	attr.EnsureCapacity(4 + len(dimensions))
 	if !contains(p.config.ExcludeDimensions, serviceNameKey) {
 		attr.PutStr(serviceNameKey, serviceName)
 	}
@@ -378,7 +419,7 @@ func (p *connectorImp) buildAttributes(serviceName string, span ptrace.Span, res
 	if !contains(p.config.ExcludeDimensions, statusCodeKey) {
 		attr.PutStr(statusCodeKey, traceutil.StatusCodeStr(span.Status().Code()))
 	}
-	for _, d := range p.dimensions {
+	for _, d := range dimensions {
 		if v, ok := getDimensionValue(d, span.Attributes(), resourceAttrs); ok {
 			v.CopyTo(attr.PutEmpty(d.name))
 		}
@@ -395,10 +436,10 @@ func concatDimensionValue(dest *bytes.Buffer, value string, prefixSep bool) {
 
 // buildKey builds the metric key from the service name and span metadata such as name, kind, status_code and
 // will attempt to add any additional dimensions the user has configured that match the span's attributes
-// or resource attributes. If the dimension exists in both, the span's attributes, being the most specific, takes precedence.
+// or resource/event attributes. If the dimension exists in both, the span's attributes, being the most specific, takes precedence.
 //
 // The metric key is a simple concatenation of dimension values, delimited by a null character.
-func (p *connectorImp) buildKey(serviceName string, span ptrace.Span, optionalDims []dimension, resourceAttrs pcommon.Map) metrics.Key {
+func (p *connectorImp) buildKey(serviceName string, span ptrace.Span, optionalDims []dimension, resourceOrEventAttrs pcommon.Map) metrics.Key {
 	p.keyBuf.Reset()
 	if !contains(p.config.ExcludeDimensions, serviceNameKey) {
 		concatDimensionValue(p.keyBuf, serviceName, false)
@@ -414,7 +455,7 @@ func (p *connectorImp) buildKey(serviceName string, span ptrace.Span, optionalDi
 	}
 
 	for _, d := range optionalDims {
-		if v, ok := getDimensionValue(d, span.Attributes(), resourceAttrs); ok {
+		if v, ok := getDimensionValue(d, span.Attributes(), resourceOrEventAttrs); ok {
 			concatDimensionValue(p.keyBuf, v.AsString(), true)
 		}
 	}

connector/spanmetricsconnector/connector_test.go

@@ -42,6 +42,7 @@ const (
 	notInSpanAttrName0     = "shouldBeInMetric"
 	notInSpanAttrName1     = "shouldNotBeInMetric"
 	regionResourceAttrName = "region"
+	exceptionTypeAttrName  = "exception.type"
 	DimensionsCacheSize    = 2
 
 	sampleRegion   = "us-east-1"
@@ -394,6 +395,10 @@ func initSpan(span span, s ptrace.Span) {
 	s.Attributes().PutEmptySlice(arrayAttrName)
 	s.SetTraceID(pcommon.TraceID(span.traceID))
 	s.SetSpanID(pcommon.SpanID(span.spanID))
+
+	e := s.Events().AppendEmpty()
+	e.SetName("exception")
+	e.Attributes().PutStr(exceptionTypeAttrName, "NullPointerException")
 }
 
 func disabledExemplarsConfig() ExemplarsConfig {
@@ -1259,3 +1264,57 @@ func TestConnector_initHistogramMetrics(t *testing.T) {
 		})
 	}
 }
+
+func TestSpanMetrics_Events(t *testing.T) {
+	tests := []struct {
+		name                    string
+		eventsConfig            EventsConfig
+		shouldEventsMetricExist bool
+	}{
+		{
+			name:                    "events disabled",
+			eventsConfig:            EventsConfig{Enabled: false, Dimensions: []Dimension{{Name: "exception.type", Default: stringp("NullPointerException")}}},
+			shouldEventsMetricExist: false,
+		},
+		{
+			name:                    "events enabled",
+			eventsConfig:            EventsConfig{Enabled: true, Dimensions: []Dimension{{Name: "exception.type", Default: stringp("NullPointerException")}}},
+			shouldEventsMetricExist: true,
+		},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			factory := NewFactory()
+			cfg := factory.CreateDefaultConfig().(*Config)
+			cfg.Events = tt.eventsConfig
+			c, err := newConnector(zaptest.NewLogger(t), cfg, nil)
+			require.NoError(t, err)
+			err = c.ConsumeTraces(context.Background(), buildSampleTrace())
+			require.NoError(t, err)
+			metrics := c.buildMetrics()
+			for i := 0; i < metrics.ResourceMetrics().Len(); i++ {
+				rm := metrics.ResourceMetrics().At(i)
+				ism := rm.ScopeMetrics()
+				for ilmC := 0; ilmC < ism.Len(); ilmC++ {
+					m := ism.At(ilmC).Metrics()
+					if !tt.shouldEventsMetricExist {
+						assert.Equal(t, 2, m.Len())
+						continue
+					}
+					assert.Equal(t, 3, m.Len())
+					for mC := 0; mC < m.Len(); mC++ {
+						metric := m.At(mC)
+						if metric.Name() != "events" {
+							continue
+						}
+						assert.Equal(t, pmetric.MetricTypeSum, metric.Type())
+						for idp := 0; idp < metric.Sum().DataPoints().Len(); idp++ {
+							attrs := metric.Sum().DataPoints().At(idp).Attributes()
+							assert.Contains(t, attrs.AsRaw(), exceptionTypeAttrName)
+						}
+					}
+				}
+			}
+		})
+	}
+}