rules: Allow recorded rules expressions to be scalars.

This is useful if you want to build up a constant metric,
such as a set of alert thresholds that vary by label value.

promql/parse.go

@@ -1009,7 +1009,10 @@ func (p *parser) checkType(node Node) (typ ExprType) {
 		}
 
 	case *RecordStmt:
-		p.expectType(n.Expr, ExprVector, "record statement")
+		ty := p.checkType(n.Expr)
+		if ty != ExprVector && ty != ExprScalar {
+			p.errorf("record statement must have a valid expression of type vector or scalar but got %s", ty)
+		}
 
 	case Expressions:
 		for _, e := range n {

promql/parse_test.go

@@ -1207,10 +1207,20 @@ var testStatement = []struct {
 		expected: Statements{},
 	}, {
 		input: "foo = time()",
-		fail:  true,
+		expected: Statements{
+			&RecordStmt{
+				Name:   "foo",
+				Expr:   &Call{Func: mustGetFunction("time")},
+				Labels: nil,
+			}},
 	}, {
 		input: "foo = 1",
-		fail:  true,
+		expected: Statements{
+			&RecordStmt{
+				Name:   "foo",
+				Expr:   &NumberLiteral{1},
+				Labels: nil,
+			}},
 	}, {
 		input: "foo = bar[5m]",
 		fail:  true,

rules/recording.go

@@ -48,9 +48,23 @@ func (rule RecordingRule) eval(timestamp clientmodel.Timestamp, engine *promql.E
 	if err != nil {
 		return nil, err
 	}
-	vector, err := query.Exec().Vector()
-	if err != nil {
-		return nil, err
+
+	result := query.Exec()
+	var vector promql.Vector
+	switch result.Value.(type) {
+	case promql.Vector:
+		vector, err = result.Vector()
+		if err != nil {
+			return nil, err
+		}
+	case *promql.Scalar:
+		scalar, err := result.Scalar()
+		if err != nil {
+			return nil, err
+		}
+		vector = promql.Vector{&promql.Sample{Value: scalar.Value, Timestamp: scalar.Timestamp}}
+	default:
+		return nil, fmt.Errorf("rule result is not a vector or scalar")
 	}
 
 	// Override the metric name and labels.