Looking up invalid data on a dense spool

We started receiving this error yesterday as well.  It sounds like a similar scenario to yours:  CALCULATE with a relatively simple filter; only deleting the offending measures made the error go away.

Not all measures were causing problems, only a small number of them that had more than one logical operator, e.g.

age_1 = 
var maxDate = MAXX(ALLSELECTED(Payables), Payables[document_date])

return CALCULATE
(
    SUM(Payables[balance_amount_dc]),
    FILTER
    (
        Payables,
        var docAge = DATEDIFF(Payables[document_date], maxDate, DAY)

        return Payables[document_amount_dc] <> 0 && docAge >= 31 && docAge <= 60
    )
)

Other, very similar measures, are working fine, e.g.

age_0 = 
var maxDate = MAXX(ALLSELECTED(Payables), Payables[document_date])

return CALCULATE
(
    SUM(Payables[balance_amount_dc]),
    FILTER
    (
        Payables,
        var docAge = DATEDIFF(Payables[document_date], maxDate, DAY)

        return Payables[document_amount_dc] <> 0 && docAge <= 30
    )
)

Since this is an aging report, I was able to work around it by simplifying filter conditions in the later buckets and just subtracting the earlier buckets.

There are only two tables - both imported from SQL.  The table with the measures causing issues has around a million rows.