Sometimes we need to display attribute members in SSAS in a different order than the order of its name or key. For this purpose we have the option to use one of its attribute’s name or key. However, in some cases changing the order may break some calculation logic which depends on the initial order. The new ordering may also be inconvenient for writing MDX as using some functions of the language is easier (at least conceptually) when thinking of sets in ascending order. The best example which we can use to illustrate this problem is the Date dimension. While in most, if not all, cases the Date dimension is ordered in ascending order, sometimes users prefer to see the most recent date first and request us to change the order to descending. Doing so invalidates many time intelligence calculations like rolling and parallel periods, etc. Furthermore, fixing those requires inverting numbers to negative, or avoiding the use of functions like ClosingPeriod. All in all, a “small” change can lead to a big problem. We can, however, accommodate our ignorant users (which unknowingly get the benefit of reading default time series charts backwards – from right to left – when dragging-dropping descending dates in Excel, for example) without changing too much in our scripts. A little trick in the modelling can help and it is the reason for writing this post.
Let’s have a look at a simple Date dimension with one attribute – Date. Nothing unusual, with the Date being ordered by its Key (integer in this case) and with a name coming from another column in the Date table – DateName. When we create a simple slice in Excel we get the following:
Now we create a measure Rolling 3 Days Amount, which sums the last 3 days’ amount:
The MDX for this calculation is:
If we simply invert the order of the Date attribute by ordering it by another column in our Date table, which contains DateKey*-1 and refresh the Excel pivot table we get the following:
This is simply incorrect. A relatively small change in the MDX script can help us with this issue (e.g. changing the Lag to Lead), however in many cases we do not want to rebuild all the measures. Luckily, we can employ a different tactic. Instead of changing the script, we can change the structure of our dimension by adding an additional attribute which is not exposed to the users. (i.e. is hidden). This attribute will be based on the same column we use for our Date, but will not be ordered by the descending column. We can rename the original attribute (the one exposed to the users) to something like Date Desc, or a more user-friendly option, and hide the new one:
Everything else stays the same – our cube script does not need to be adjusted and its logic is correct:
A different approach could be to leave the old attribute named Date, so there is no change necessary in case of reports depending on the naming. This, however, requires a change of the cube script, which can be easily performed with using the BIDS Replace functionality (e.g. Ctrl+H).
Note that for this approach to work we need to make sure that the attribute exposed to the users is the dimension key attribute as changing its current member results in an (infamous) attribute overwrite where its related attributes, which are above it in the relationship chain) also change. If we expose the non-key date attribute our MDX logic will break as the changes to its current member will not affect the attributes below it (actually, it will set them to their All member).
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