UPDATE : The tuple evaluation is a case we missed, the bug has been fixed in icCube 4.2. Pay attention that using the same hierarchy on a where clause and an axis it's tricky. Any sets is filtered out : "{[2010],[2011]} on 0 .. where [2010] will return [2010] but a tuple is evaluted without filtering. Different hierarchies of the same dimension will apply the autoexists filter.
As this is a bit tricky we decided to extend SETS to allow to declare a set in a query that is evaluated with the global context - without taking into account where clause and subqueries :
WITH
-- always the same regardless of the where clause and subquery
STATIC SET [Global] Filter([Country].members, ([Measures].[Amount], [2010])>80000)
..
The easy and most efficient solution is to go as Frank is proposing, adding directly the filtered countries in the axis.
SELECT
// this will return the countries with sales amount bigger than 80'000 for [2010]
// e.g. { [USA], [UK] } ... [2010] is is just used for filterting
Filter([Country].members, ([Measures].[Amount], [2010])>80000) on 0,
// When evaluated we're going to use [2009] as it's the slicer default value
[Amount] on 1
FROM [sales]
WHERE [2009]
Regarding your query it should work, I agree, it's a bug in icCube that we will fix asap (PTS). In the meantime you have to avoid using the same hierarchy in the slicer and in the Filter function used in a slicer, something like :
WITH
MEMBER [Amount 2009] AS ([Amount],[2009])
SELECT
Filter([Country].members, ([Measures].[Amount], [2010])>80000) on 0,
[Amount 2009] on 1
FROM [sales]
Or you can change to a version that works in icCube (less efficient than Frank's one) :
SELECT [Country].members on 0, [Amount] on 1
FROM (select Filter([Country].members, ([Measures].[Amount], [2010])>80000) on 0 from [sales])
WHERE [2009]
If you're playing with grouping based on different critierias you can use a new feature icCube introduced a couple of months ago : Categories
They allow to create a hierarchy as member of other hierarchies. You could define those countries as [80000+] to afterwards perform calculations based on this new clasification.