Simplify vector binary evaluation logic

promql/engine.go

@@ -592,14 +592,14 @@ func (ev *evaluator) eval(expr Expr) Value {
 			}
 
 		case lt == ExprVector && rt == ExprVector:
-			if e.Op == itemLAND {
+			switch e.Op {
+			case itemLAND:
 				return ev.vectorAnd(lhs.(Vector), rhs.(Vector), e.VectorMatching)
-			}
+			case itemLOR:
-			if e.Op == itemLOR {
 				return ev.vectorOr(lhs.(Vector), rhs.(Vector), e.VectorMatching)
+			default:
+				return ev.vectorBinop(e.Op, lhs.(Vector), rhs.(Vector), e.VectorMatching)
 			}
-			return ev.vectorBinop(e.Op, lhs.(Vector), rhs.(Vector), e.VectorMatching)
-
 		case lt == ExprVector && rt == ExprScalar:
 			return ev.vectorScalarBinop(e.Op, lhs.(Vector), rhs.(*Scalar), false)
 
@@ -709,27 +709,19 @@ func (ev *evaluator) vectorAnd(lhs, rhs Vector, matching *VectorMatching) Vector
 		panic("logical operations must always be many-to-many matching")
 	}
 	// If no matching labels are specified, match by all labels.
-	signature := func(m clientmodel.COWMetric) uint64 {
+	sigf := signatureFunc(matching.On...)
-		return clientmodel.SignatureForLabels(m.Metric, matching.On)
-	}
-	if len(matching.On) == 0 {
-		signature = func(m clientmodel.COWMetric) uint64 {
-			m.Delete(clientmodel.MetricNameLabel)
-			return uint64(m.Metric.Fingerprint())
-		}
-	}
 
 	var result Vector
 	// The set of signatures for the right-hand side vector.
 	rightSigs := map[uint64]struct{}{}
 	// Add all rhs samples to a map so we can easily find matches later.
 	for _, rs := range rhs {
-		rightSigs[signature(rs.Metric)] = struct{}{}
+		rightSigs[sigf(rs.Metric)] = struct{}{}
 	}
 
 	for _, ls := range lhs {
 		// If there's a matching entry in the right-hand side vector, add the sample.
-		if _, ok := rightSigs[signature(ls.Metric)]; ok {
+		if _, ok := rightSigs[sigf(ls.Metric)]; ok {
 			result = append(result, ls)
 		}
 	}
@@ -740,114 +732,143 @@ func (ev *evaluator) vectorOr(lhs, rhs Vector, matching *VectorMatching) Vector
 	if matching.Card != CardManyToMany {
 		panic("logical operations must always be many-to-many matching")
 	}
-	// If no matching labels are specified, match by all labels.
+	sigf := signatureFunc(matching.On...)
-	signature := func(m clientmodel.COWMetric) uint64 {
-		return clientmodel.SignatureForLabels(m.Metric, matching.On)
-	}
-	if len(matching.On) == 0 {
-		signature = func(m clientmodel.COWMetric) uint64 {
-			m.Delete(clientmodel.MetricNameLabel)
-			return uint64(m.Metric.Fingerprint())
-		}
-	}
 
 	var result Vector
 	leftSigs := map[uint64]struct{}{}
 	// Add everything from the left-hand-side vector.
 	for _, ls := range lhs {
-		leftSigs[signature(ls.Metric)] = struct{}{}
+		leftSigs[sigf(ls.Metric)] = struct{}{}
 		result = append(result, ls)
 	}
 	// Add all right-hand side elements which have not been added from the left-hand side.
 	for _, rs := range rhs {
-		if _, ok := leftSigs[signature(rs.Metric)]; !ok {
+		if _, ok := leftSigs[sigf(rs.Metric)]; !ok {
 			result = append(result, rs)
 		}
 	}
 	return result
 }
 
-// vectorBinop evaluates a binary operation between two vector values.
+// vectorBinop evaluates a binary operation between two vector, excluding AND and OR.
 func (ev *evaluator) vectorBinop(op itemType, lhs, rhs Vector, matching *VectorMatching) Vector {
-	result := make(Vector, 0, len(rhs))
+	if matching.Card == CardManyToMany {
+		panic("many-to-many only allowed for AND and OR")
+	}
+	var (
+		result       = Vector{}
+		sigf         = signatureFunc(matching.On...)
+		resultLabels = append(matching.On, matching.Include...)
+	)
+
 	// The control flow below handles one-to-one or many-to-one matching.
 	// For one-to-many, swap sidedness and account for the swap when calculating
 	// values.
 	if matching.Card == CardOneToMany {
 		lhs, rhs = rhs, lhs
 	}
+
 	// All samples from the rhs hashed by the matching label/values.
-	rm := map[uint64]*Sample{}
+	rightSigs := map[uint64]*Sample{}
-	// Maps the hash of the label values used for matching to the hashes of the label
-	// values of the include labels (if any). It is used to keep track of already
-	// inserted samples.
-	added := map[uint64][]uint64{}
 
 	// Add all rhs samples to a map so we can easily find matches later.
 	for _, rs := range rhs {
-		hash := hashForMetric(rs.Metric.Metric, matching.On)
+		sig := sigf(rs.Metric)
 		// The rhs is guaranteed to be the 'one' side. Having multiple samples
-		// with the same hash means that the matching is many-to-many,
+		// with the same signature means that the matching is many-to-many.
-		// which is not supported.
+		if _, found := rightSigs[sig]; found {
-		if _, found := rm[hash]; found {
 			// Many-to-many matching not allowed.
-			ev.errorf("many-to-many matching not allowed")
+			ev.errorf("many-to-many matching not allowed: matching labels must be unique on one side")
 		}
-		// In many-to-many matching the entry is simply overwritten. It can thus only
+		rightSigs[sig] = rs
-		// be used to check whether any matching rhs entry exists but not retrieve them all.
-		rm[hash] = rs
 	}
 
+	// Tracks the match-signature. For one-to-one operations the value is nil. For many-to-one
+	// the value is a set of signatures to detect duplicated result elements.
+	matchedSigs := map[uint64]map[uint64]struct{}{}
+
 	// For all lhs samples find a respective rhs sample and perform
 	// the binary operation.
 	for _, ls := range lhs {
-		hash := hashForMetric(ls.Metric.Metric, matching.On)
+		sig := sigf(ls.Metric)
 
-		rs, found := rm[hash] // Look for a match in the rhs vector.
+		rs, found := rightSigs[sig] // Look for a match in the rhs vector.
 		if !found {
 			continue
 		}
-		var value clientmodel.SampleValue
-		var keep bool
 
-		if _, exists := added[hash]; matching.Card == CardOneToOne && exists {
-			// Many-to-one matching must be explicit.
-			ev.errorf("many-to-one matching must be explicit")
-		}
 		// Account for potentially swapped sidedness.
 		vl, vr := ls.Value, rs.Value
 		if matching.Card == CardOneToMany {
 			vl, vr = vr, vl
 		}
-		value, keep = vectorElemBinop(op, vl, vr)
+		value, keep := vectorElemBinop(op, vl, vr)
+		if !keep {
+			continue
+		}
+		metric := resultMetric(ls.Metric, op, resultLabels...)
 
-		if keep {
+		insertedSigs, exists := matchedSigs[sig]
-			metric := resultMetric(op, ls, rs, matching)
+		if matching.Card == CardOneToOne {
-			// Check if the same label set has been added for a many-to-one matching before.
+			if exists {
-			if matching.Card == CardManyToOne || matching.Card == CardOneToMany {
+				ev.errorf("multiple matches for labels: many-to-one matching must be explicit (group_left/group_right)")
-				insHash := clientmodel.SignatureForLabels(metric.Metric, matching.Include)
-				if ihs, exists := added[hash]; exists {
-					for _, ih := range ihs {
-						if ih == insHash {
-							ev.errorf("metric with label set has already been matched")
-						}
-					}
-					added[hash] = append(ihs, insHash)
-				} else {
-					added[hash] = []uint64{insHash}
-				}
 			}
-			ns := &Sample{
+			matchedSigs[sig] = nil // Set existance to true.
-				Metric:    metric,
+		} else {
-				Value:     value,
+			// In many-to-one matching the grouping labels have to ensure a unique metric
-				Timestamp: ev.Timestamp,
+			// for the result vector. Check whether those labels have already been added for
+			// the same matching labels.
+			insertSig := clientmodel.SignatureForLabels(metric.Metric, matching.Include)
+			if !exists {
+				insertedSigs = map[uint64]struct{}{}
+				matchedSigs[sig] = insertedSigs
+			} else if _, duplicate := insertedSigs[insertSig]; duplicate {
+				ev.errorf("multiple matches for labels: grouping labels must ensure unique matches")
 			}
-			result = append(result, ns)
+			insertedSigs[insertSig] = struct{}{}
-			added[hash] = added[hash] // Set existance to true.
+		}
+
+		result = append(result, &Sample{
+			Metric:    metric,
+			Value:     value,
+			Timestamp: ev.Timestamp,
+		})
+	}
+	return result
+}
+
+// signatureFunc returns a function that calculates the signature for a metric
+// based on the provided labels.
+func signatureFunc(labels ...clientmodel.LabelName) func(m clientmodel.COWMetric) uint64 {
+	if len(labels) == 0 {
+		return func(m clientmodel.COWMetric) uint64 {
+			m.Delete(clientmodel.MetricNameLabel)
+			return uint64(m.Metric.Fingerprint())
 		}
 	}
+	return func(m clientmodel.COWMetric) uint64 {
+		return clientmodel.SignatureForLabels(m.Metric, labels)
+	}
+}
 
-	return result
+// resultMetric returns the metric for the given sample(s) based on the vector
+// binary operation and the matching options.
+func resultMetric(met clientmodel.COWMetric, op itemType, labels ...clientmodel.LabelName) clientmodel.COWMetric {
+	if len(labels) == 0 {
+		if shouldDropMetricName(op) {
+			met.Delete(clientmodel.MetricNameLabel)
+		}
+		return met
+	}
+	// As we definitly write, creating a new metric is the easiest solution.
+	m := clientmodel.Metric{}
+	for _, ln := range labels {
+		// Included labels from the `group_x` modifier are taken from the "many"-side.
+		if v, ok := met.Metric[ln]; ok {
+			m[ln] = v
+		}
+	}
+	return clientmodel.COWMetric{Metric: m, Copied: false}
 }
 
 // vectorScalarBinop evaluates a binary operation between a vector and a scalar.
@@ -1065,64 +1086,6 @@ func shouldDropMetricName(op itemType) bool {
 	}
 }
 
-// resultMetric returns the metric for the given sample(s) based on the vector
-// binary operation and the matching options.
-func resultMetric(op itemType, ls, rs *Sample, matching *VectorMatching) clientmodel.COWMetric {
-	if len(matching.On) == 0 || op == itemLOR || op == itemLAND {
-		if shouldDropMetricName(op) {
-			ls.Metric.Delete(clientmodel.MetricNameLabel)
-		}
-		return ls.Metric
-	}
-
-	m := clientmodel.Metric{}
-	for _, ln := range matching.On {
-		m[ln] = ls.Metric.Metric[ln]
-	}
-
-	for _, ln := range matching.Include {
-		// Included labels from the `group_x` modifier are taken from the "many"-side.
-		v, ok := ls.Metric.Metric[ln]
-		if ok {
-			m[ln] = v
-		}
-	}
-	return clientmodel.COWMetric{false, m}
-}
-
-// hashForMetric calculates a hash value for the given metric based on the matching
-// options for the binary operation.
-func hashForMetric(metric clientmodel.Metric, withLabels clientmodel.LabelNames) uint64 {
-	var labels clientmodel.LabelNames
-
-	if len(withLabels) > 0 {
-		var match bool
-		for _, ln := range withLabels {
-			if _, match = metric[ln]; !match {
-				break
-			}
-		}
-		// If the metric does not contain the labels to match on, build the hash
-		// over the whole metric to give it a unique hash.
-		if !match {
-			labels = make(clientmodel.LabelNames, 0, len(metric))
-			for ln := range metric {
-				labels = append(labels, ln)
-			}
-		} else {
-			labels = withLabels
-		}
-	} else {
-		labels = make(clientmodel.LabelNames, 0, len(metric))
-		for ln := range metric {
-			if ln != clientmodel.MetricNameLabel {
-				labels = append(labels, ln)
-			}
-		}
-	}
-	return clientmodel.SignatureForLabels(metric, labels)
-}
-
 // chooseClosestSample chooses the closest sample of a list of samples
 // surrounding a given target time. If samples are found both before and after
 // the target time, the sample value is interpolated between these. Otherwise,