result.combine(e.DateDiff.Timestamp2.analyze(s))
		return result

	// Handle aggregation function calls
	case aggFnAvg, aggFnMax, aggFnMin, aggFnSum, aggFnCount:
		// Initialize accumulator
		e.aggregate = newAggVal(funcName)

		var exprA qProp
		if funcName == aggFnCount {
			if e.Count.StarArg {
				return qProp{isAggregation: true}
			}

			exprA = e.Count.ExprArg.analyze(s)
		} else {

)

type aggVal struct {
	runningSum             *Value
	runningCount           int64
	runningMax, runningMin *Value

	// Stores if at least one record has been seen
	seen bool
}

func newAggVal(fn FuncName) *aggVal {
	switch fn {
	case aggFnAvg, aggFnSum:
		return &aggVal{runningSum: FromFloat(0)}
	case aggFnMin:
		return &aggVal{runningMin: FromInt(0)}
	case aggFnMax: