I have built a small data warehouse using the Adventure works database. I have deployed it to SQL Studio Manager. I have written my first MDX query
select
customer.[full name].members on rows,
order (measures.[sales amount],asc) on columns
from [Adventure Works DW2012]
Please see the screenshot below:
I understand that the top level of the hierarchy are dimensions i.e. Customer, Date, Due Date, Interne Sales, Order Date, Product and Ship Date. I understand that dimensions have attributes. For example: Model Name, Product Line, Product Name are attributes of the Product dimension and Product Model Lines is a hierarchy of the Product dimension.
What is meant by: Financial; History and Stocking?
You've come up against something I think is a genuinely confusing and ill-designed aspect of SSAS.
You're correct that Model Name, Product Line and Product Name are attributes of the Product dimension. But what you're seeing here (in your screenshot) is hierarchies called Model Name, Product Line and Product Name.
These are not "hierarchies" in the sense that most people use the term (a structure with more than one level). They're the "attribute hierarchies" based on the attributes of the same name. They only have one level two levels. (EDIT: as whytheq pointed out, they have one leaf level, and almost always also have an "All" level).
(EDIT) Product Model Lines is a "real" (aka "user") hierarchy, with multiple levels apart from the All and leaf levels, based on multiple attributes.
Financial, History and Stocking are "folders". They get "created" by the setting of any AttributeHierarchyDisplayFolder property of any Attribute in the Dimension design (or the DisplayFolder property of any "real" hierarchy). They have nothing to do with any dimension structure - they're just for display convenience. Probably necessary because, as becomes clearer the more I try to explain it, the structure of Dimensions in SSAS is really unnecessarily complicated.
You can hide the "attribute hierarchies" from client applications (e.g. Excel) by setting the AttributeHierarchyVisible property of the attribute to False. But they'll still show up in the MDX "helper" screen you're looking at.
Related
When making a date dimension in a SSAS multidimensional cube, it is simple to make a hierarchy and attribute relationships for day, month, quarter, and year, which all roll up into one another. But what if I have a couple of attributes that combine month and year, such as "Jan 2019" and "01/19"? I made these because I know the charts will use them. If I take one of these attributes called [Year Month] and place it as seen below where Date -> Year Month -> Quarter -> Year, then it gave me a warning that I create another hierarchy, which I did, but that seems not user friendly to have a few nearly identical hierarchies when they are browsing fields. Or should I have kept [Year Month] in an attribute relationship with Month Name, like I did with the other Month Year fields in that list?
If I don't add additional hierarchies, then I get a warning that says "Design hierarchies for each incoming relationship path when attributes have multiple incoming relationships or, if any of the incoming relationships are unnecessary, you should delete them."
In summary, I have a few attributes whose key value is the same (month/year)- how to approach this?
The warning (blue squiggly) is just saying to avoid visible attributes used in hierarchies. I will get around to fixing that once I solidify things.
After googling the warning message that I added into the question above, I discovered some posts/articles suggesting you really should add a hierarchy for each path or otherwise the "attribute decoding" won't work. I also think it does make sense to put Year Month on its own path (so the diagram is correct). And then I discovered you can make a hierarchy invisible to the end user. If you go to your cube and expand a dimension and then click on an individual hierarchy, there is a Visible property you can set to false.
However, I also decided to reduce these additional attributes of type string/varchar down to one after reading how it can hurt performance to have a lot of string attributes.
I am on an MDX adventure and I'm at a point where I need to ask some questions.
I have a very basic dimension named Car. The attributes which comprise Car are as follows-
-Manufacturer
-Make
-Color
-Year
My fact table contains a sales measure ([Measures].[Sales]). I would like to know , without explicitly defining a user hierarchy, how to sum the sales from
a specific group in this hierarchy
For example, I want to sum the sales of all red Trucks made in 2002. My attempt errors out-
sum([Cars].[Make].[Make].&[Truck]&[Red]&[2002], [Measures].[Sales])
How can I navigate the attribute hierarchy in this way? I will be browsing the cube in excel
Thanks
If you open an mdx query in SSMS and drag a member from one of your attribute hierarchies into the query pain you will see the full name.
You definitely cannot chain hierarchies like this ...].&[Truck]&[Red]&[2002]
Each full name will likely be similar to what MrHappyHead has detailed but usually the attribute name is repeated e.g. for Make:
[Cars].[Make].[Make].&[Truck]
MrHappyHead have wrapped it all in the Sum function but this is not required - just wrap the coordinates in braces and a tuple is then formed which will point to the required area of the cube:
(
[Cars].[Make].[Make].&[Truck],
[Cars].[Color].[Color].&[Red],
[Cars].[Year].[Year].&[2002],
[Measures].[sales]
)
note: square brackets are pretty standard in mdx.
Is it something like:
Sum(
Cars.make.&[truck],
Cars.color.&[red],
Cars.year.[2002],
Measures.sales
)
How to hide measure or a scope if user choose certain dimension or go to certain dimension hierarchy level?
Thanks.
Try something like this in your MDX script:
FREEZE([Measures].[My Measure], [Product].[Subcategory].[All]);
([Measures].[My Measure], [Product].[Product].Members, [Product].[Subcategory].[Subcategory].Members) = null;
Freeze ensures the next statement won't null out the category level totals. The next statement bulls out that measure for the whole product dimension up to the subcategory totals but not above.
Note this is fine for nulling out meaningless numbers but isn't a security feature. A savvy user could do a drillthrough command to get the product level numbers. Or a savvy user could connect in a special way and clear the whole MDX script for his session so he sees the detailed product data.
For a more secure approach:
If you can null out product data for all measures then setup role based security. In dimension data security only grant access to member Subcategory.All only but uncheck visual totals on the advanced tab so that the subcategory grand total is the real total.
Or setup a second slimmed down Product dimension that only has the top levels not the detailed product levels. Then only tie that dimension to this measure group.
Or create a second measure group that does a group by in SQL and joins to the Product dimension only at the Category level. Thus there is no detailed data only rollups. Then with security control whether a used sees the detailed measures or the summary measures.
On measure properties you can set set visible property to false for the measure you want to hide. Another option is to use perspective and choose again what you want to hide or not.
Just a bit of background info:
I have dimension table which uses SCD2 to track user changes in our company (team changes, job title changes etc) See example below:
I've built an Analysis Services Cube and created all the necessary hierarchy's for the dimensions and it works well when navigating and drilling down through the fact table.
The problem I have is with the filters on the PerformancePoint dashboard. As I'm using the User Dimension table with it's multiple instances of users it's showing duplicates up in the list. I can understand why as the surrogate ID is being referenced on the Dimension. But if I choose the first instance of the A-team I will see all their sales for a particular period and if I choose the second instance I will see all their sales for a different period.
What is the best way to handle this type of behavior? Ideally I'd like to see a distinct list of teams in alphabetical order and when I choose the team name it shows all of their data over time.
I've considered using MDX query filters but I'd like to see if there's anything I haven't thought about.
I realise this isn't an easy and quick question but any help would be appreciated!
The answer was simple after having a trawl through my User Dimension table on the Cube.
Under my user dimension I added 2 duplicate attributes to my attributes list ("Team Filter" is a copy of "Team", "User Filter" a copy of "User Name") these will be used only for filtering the dashboard.
Under the attribute properties for each duplicate I then set AttributeHierarchyOptimizedState to "Not Optimized", I also set their AttributeHierarchyVisible to false as I'd shown the two duplicate attributes in the hierarchy window in the middle.
Deploy your Cube to the server and go in to PerformancePoint. Create a new MDX Filter (this image shows the finished filter)
This is the code I used, it only shows dimension members which have a fact against them (reduces the list a considerable amount) and by using allmembers at the dimension it also gives me the option to show "All" at the top of the list.
Deploy the new filters and now you can see the distinct list of users and teams, works perfectly and selects every instance (regardless of the SCD2 row)
I am running Analysis Services 2008 R2 and have come across some behavior that I really do not understand and I can't seem to get to the bottom of it. I have a dimension called Segment which is a simple Parent-child dimension where only one of the four top-level members has any children. This one member, has two children. Only leaf nodes have any values.
In the dimension I have used AttributeAllMemberName to allow "All Segments" to be used to refer to the top-level members. There are three dimensions used in the cube: Segment, Country and Year.
When I run:
SELECT {{Descendants([Country].[Global],, SELF_BEFORE_AFTER)}} ON ROWS,
{[Segment].[All Segments].children}*{[Measures].[Volume tonnes]} ON COLUMNS
FROM [Market]
WHERE [Year].[2012]
I see all members on the columns but the one node that has children has an empty column. My understanding is that "children" should show me only one level not two. If, on the other hand I run
SELECT {{Descendants([Country].[Global],, SELF_BEFORE_AFTER)}} ON ROWS,
{[Segment].[(all)].[All Segments].children}*{[Measures].[Volume tonnes]} ON COLUMNS
FROM [Market]
WHERE [Year].[2012]
I see exactly what I would expect; the four top-level children with correctly aggregated values for the one child that has its own children. No grand-children are shown. In either case the right number of rows are displayed.
The only difference between the two queries is that the "[(all)]" level has been explicitly listed in the second query. Given that the "all" member is defined as the only member of the "(all)" level set, these two queries should return the same values but they don't. I must be missing something in the dimension config, but what? Can someone point me in the right direction to fix this? I need the query to work properly without having to use "[(all)]".
To stop this post becoming too bloated, I have posted some screen-grabs of BIDS to my own website to show the configuration of the dimension. There are three attributes and the dimension itself that require configuration but I can only post two links so have linked them all in from this page: http://coolwire.co.uk/share/BIDS.html
The Hierarchy and the Ordering are related to the Key by rigid attribute-relationships.
It all looks okay to me but the problem must be in here somewhere.