Friday, July 25, 2014

Discovering Multi-dimension Mappings

Hi again,

summer is already here :-)

With FDMEE we are saying goodbye to our FDM friends...and today is turn of... varValues!
Do you remember about varValues in FDM Classic? It was that array with all source and target values which could be accessed from mapping scripts (#SCRIPT) in order to create conditional mappings.
You may be familiar with this example:
Above you have a conditional mapping where our target ICP is mapped based on target Account. We could also create mappings based on other source dimension values or combination of source and target values:
The drawback of conditional mappings/script mappings was performance. We always tried to avoid them (didn't you?).

So what is a multi-dimension mapping then? its name is self explanatory but if you didn't get it: it's basically a mapping where the target value is defined based on combination of other dimension values. Multi-dimensional mappings are an example of conditional mappings. Here I haven't specified if target value is derived from source or other target dimension values. We will assume both so far.
  • Example 1: Target Account is derived from Source ICP and Source Sub-Account Values
  • Example 2: Target ICP is derived from Target Account and Source Entity Values
Now let's go back to FDMEE.

In FDM Classic we had 4 mapping types: Explicit, Between, In, and Like.
In FDMEE we have one additional mapping type to those four: Multi-Dimension Mapping (MD)
MD mappings enable us to define member mapping based on multiple source column values.
So we can now create mappings based on source values in a really easy way by using the GUI. No more scripts needed for this mapping type? Well not really, if you read carefully, "...mapping based on multiple source column values". In current FDMEE version when you want to create a mapping based on target values or combination of source/target values, you still have to use mapping scripts (either #SCRIPT for Jython or #SQL for SQL syntax mappings). If somebody from Oracle is reading this...that would be a great enhancement :-)
How does it look? How do I create them? How do they perform? ... let's try to put some lights on it.

Using the GUI to create a MD mapping
There is a new tab "Multi-Dimension" when you open Data Load Mapping page:
 When we add a new mapping we get a new page prompted. We will create our MD mapping here:
  • Target Value: our target dimension member (of the dimension we are defining the mapping for)
  • Rule Name: name for our mapping rule. This is key for mapping sequence
  • Grid for source dimensions criteria (MD conditions)
  • Which criteria can we use to define MD mappings? the other 4 mapping types: Explicit, Between, In, Like
Let's build our first mapping
I will create the following MD mapping for Customer dimension:
If Source Entity like West* And Source Product = "Comma_PDAs" 
Then Target Customer = "Francisco"
So my MD mapping rule for Customer dimension derives the target customer based on source entity and product columns (dimensions, segments, etc.)
When we save it the new mapping is displayed:
Did you notice new syntax of source value?
ENTITY=[West*] AND UD1=[Comma_PDAs]
What about adding In and Between conditions?
  • In: translated to SOURCE_DIMENSION=["comma delimited list"]
  • Between: translated to SOURCE_DIMENSION=["IniRange > EndRange"]
 Let's run the workflow and see the results:
In the above image we can see how our MD mapping has been applied.
MD mappings are displayed in mapping details view as other mapping types. By using "View Mappings" option (click amount > View Mappings),administrator and users can track which mappings are applied to any target intersection:
What can we see in the FDMEE Process log? The MD mapping is translated to an UPDATE SQL statement having the conditions as filters:
Using Lookup dimensions in MD mappings
We have already discussed about lookup dimensions in other posts. Basically they are FDMEE dimensions which means only used for FDMEE purposes, not exported, no impact on target application. Typically we use them for mappings and reference. Let's say that we have added a lookup dimension MyLookUp to our target application (Setup Tab > Register > Target Application > Dimension Details Tab > Add):
Note: Data Table Column Name must be a UD dimension greater than our target dimensions. So if my HFM application has 5 Custom dimensions, I can set this value for my lookup to be UD6. 
Once the lookup dimension is added, I can use that dimension in my MD mapping as other source dimensions. I can even map that dimension and use in mapping scripts but it will not be exported to target application as it's used only in FDMEE.
Let's then change my MD definition to:
If Source Entity like West* And Source Product = "Comma_PDAs" And Source MyLookup = "NotForHFM"
Then Target Customer = "Francisco"
We edit the MD mapping:
Hey, hey! where is my lookup dimension? We didn't configure the lookup dimension in the Import Format so it will not be displayed :-(
We can define now our MD mapping and use the lookup dimension as source dimension:
The new condition is added to the SrcKey definition:
If we run the mapping process:
Using Special Characters in MD mappings
We can use asterisk special character (*) in both source and target value expressions.
Basics about using *:
  • * > * (Ex: Acc1000 > Acc1000)
  • Acc* > * (Ex: Acc1000 > 1000)
  • Acc* > TAcc* (Ex: Acc1000 > TAcc1000)
  • Acc* > *_200 (Ex: Acc1000 > 1000_200)
  • ...
Above is what we all know for Like mappings.
There are some differences on how it behaves for MD mappings:
Basically * in the target represents the whole source:
  • Case 1
    • Source = Prefix*
    • Target = *
    • Result = Source = Prefix*
  • Case 2
    • Source = Prefix1* 
    • Target = Prefix2*
    • Result = Prefix2Source = Prefix2Prefix1*
Let's give try in order to understand better?

I will first add suffix * to my target member (Francisco*)
 After running it we start to understand how it works. It concatenated "Francisco" with source customer value (we are mapping Customer dimension):
So it seems that asterisk is applied to source dimension...
Let's then add a new condition to our MD mapping in order to add Source Customer as:
I would be expecting to be a customer now! but that would happen only with Like Mapping (No* > Francisco* implies NoCustomer > FranciscoCustomer) as you saw in previous table:
Note: it would be great to have a syntax so we derive the target member from different substrings of any source value. We could create a custom solution for that or maybe concatenate source dimensions and use new #FORMAT Mask mapping.

Sequence for MD mappings
I miss sequence map as it could be used in complex mapping logic but as you know it was removed in FDMEE. We now use rule names.
I always speak about two orders of precedence:
  • Inter-order between mapping types: Explicit, In, Multi-Dimension, Between, and Like
  • Intra-order between mapping rules of same mapping type: when mapping rules overlap within same mapping type, rules are processed in alphabetical order of the rule name (asc). It's a good practice to use numbers as prefix (10-xxx, 20-xxx)
Can MD mappings overlap?
Let's add a new mapping so condition for Entity is ENTITY=[WestS*]. We rename existing mapping to 10 and new mapping will be 20.
Which one will be executed?
What if we set rule name of the new mapping to 05?
05<10 (alphabetically) ... I'm now John!
It's now time to start working with rule names if you want to use sequence in mappings.
Note: be careful with alphabetical order: a < n but N < a, 5 > 10 but 05 < 10.

MD mappings in TDATAMAP Table
As other mapping types, MD mappings are stored in TDATAMAP (and other tables during mapping import and mapping processing like TDATAMAP_T and TDATAMAP_STG)
How are MD mappings stored?
Let's see our example:
If Source Entity like West* And Source Product = "Comma_PDAs" 
Then Target Customer = "Francisco"
In the image above you can see how our GUI items (Source Value, Target Value...) are stored in TDATAMAP
Is that all? No it is not. When we create/import a MD mapping, FDMEE creates additional rows in TDATAMAP. Which? It creates one row for each condition in the source value.
To see from a technical perspective, I would like you to pay attention to column DATAKEY. I'm going to run the following SQL query (you would need to adjust for your environment) in order to get related records to my MD mapping:
As you can see we have two additional records in TDATAMAP, one for each condition, and they relate to the MD mapping by having TARGKEY value as the DATAKEY value of the MD mapping.
This approach helps to create the SQL query that FDMEE runs for the MD mapping but it as also some drawbacks. The more MD mappings you have, the more records for conditions are created. When you reach a high volume of MD mappings, you may need to look at performance and analyze the need of additional indexes in FDMEE tables like TDATASEG_T or TDATAMAP. This is something you may need to take into consideration.
So I hope next time you query your TDATAMAP table you don't get surprised due to unexpected number of records per dimension :-)

A bit of hacking for MD
When I understood how MD mappings were stored in the database I thought that having MD mappings using target column values instead of source column values might be an option.
I'm not going to detail any custom solution but I would like to share with you some ideas. I'm always fan of the statement "The more you know how the product works, the more creativeness you will have for your solutions".
I want to add a condition to my MD mapping so:
If Source Entity like West* And Source Product = "Comma_PDAs" And Target Account = "LaborCostAcc"
Then Target Customer = "Francisco"
Out of the box I cannot perform this with MD mapping (I could have #SCRIPT or #SQL mapping script instead)
But if we design a nice solution to update TDATAMAP so dimension name ACCOUNT is replaced by ACCOUNTX (Target Account Column in TADATASEG_T/TDATASEG)...
What would happen if we run the mapping process?
It seems data was mapped based on Source Entity, Source Product, and Target Account!
You don't believe, don't you? I wouldn't neither :-) but here you have the FDMEE process log. We can confirm how the SQL query has been generated by using ACCOUNTX instead of ACCOUNT:
Of course we would have to configure dimension sequence in target dimension details (Register > Target Application > Dimension Details) in order to ensure that Account is mapped before Customer dimension.
If we open the mapping to edit, you will see that condition for account dimension is not displayed correctly as we changed internally DIMNAME to ACCOUNTX and this value is not a valid one:
So if you design the solution, you would have to take care about applying value back so users can see mapping. You could use some custom syntax in condition value to indicate that the condition should be applied to target dimension and not source. For example, T_LaborCostACC. With this information you should be able to update TDATAMAP before and after applying mappings (BefProcMap and AftProcMap).
Please take into consideration that this custom solution is not 100% validated and of course it's not supported, so play this game at your own risk :-)

MD with multiple lines for same dimension
So far all logs I have shown in this post uses AND operator. The reason is that there was only one line per dimension. What about having the following condition?
Source Product = Comma_PDAs Or Source Product Like *Phones
When we add dimensions to the condition there is no impediment to add more than one condition to same dimension:
If we have a look to the syntax of MD we can see how OR operator is used for Product dimension: 
The FDMEE process log will show the UPDATE statement as we expect: 
Importing MD mappings
MD mappings can be imported from text files or Excel files as other mapping types. The only difference is about syntax.
As you can see #MULTIDIM is used to define MD mappings.

In MapLoader, you will find instructions for MD mappings:
If you export mappings to Excel, bear in mind that you cannot import that Excel as it is only for mapping review. You will have to use MapLoader or txt/csv file instead:
Exporting mappings to Excel will produce an Excel file as follows:

OK, I think it's enough for MD mappings...
And remember, I haven't said MD mappings is your solution! As always, analyze requirements and design the solution which fits better for your business. Always try to find a solution balanced in performance and maintainability.


Friday, June 27, 2014

Bye bye KScope...

Back to Spain, ,back to jet lag, few days more working and then vacation :-)

I would really like to say thanks very much to all ODTUG people (Cameron, Opal, Natalie, Tony ... all of you) You really do a great job!
I really enjoyed meeting people there and attending sessions. Nice to meet personally other FDMEE guys (Doug, Tony, etc.)

Kscope has also been a great event to learn lot of things. It's great to see how people communicate and share knowledge with the audience. And not all is work...I discovered really good dancers @ EMP museum.

I've been thinking about the blog and I'm going to restructure it a little bit in order to make it more useful.

I'm going to include different post series that hopefully will help you not to be scared about FDMEE and especially Jython. Initially I will try to cover:

  • Jythoning with FDMEE (my new word...)
  • Migrating from FDM Classic
  • Tips & Tricks
  • FDMEE basics
  • Troubleshooting
  • Using Source Adapters
Any other suggestions?

Hasta pronto!

Sunday, June 22, 2014

KScope14 at Seattle - here we go!!!

KScope started today! After couple of days enjoying Seattle and San Juan Islands... it's kScope Time!
I will be attending and quite happy that I can meet lot of people.
If you want to have a chat, you can find me at Booth 312

PS. It seems that I brought nice weather from Spain :-)

Tuesday, June 17, 2014

Migrating from Classic FDM to FDMEE - Episode 0

Migrating or not migrating, that's the question :-)

I have been discussing with many customers about FDMEE migration and I would like to share my feedback with you.
First thing we need to bear in mind is that we are migrating to a "new" product based on different platform and providing several new functionality that will help us to get a better performance in our data load process.
Typical questions will be:

  • Do we have a migration tool (next > next > next ...)?
  • Can I reuse all metadata defined in my Classic FDM application (locations, import formats, etc.)?
  • What about my mappings? can I migrate them?
  • My application has lots of customization using VBScript, can I migrate them to FDMEE?
  • I have built some custom reports in FDM, can I reuse them in FDMEE?
  • What about Batch Loader?
  • So how can I migrate then?
  • and thousands more...
For me, there are two migration steps:
  1. Technical migration
  2. Functional migration
Let me clarify this. 
During the technical migration we will install FDMEE in our new architecture. We will register our source and target systems, configure credentials for ERP systems in ODI if needed, etc...
Why do I scope the rest of the migration as functional? Because I consider this migration a kind of once-in-a-lifetime opportunity to review your application design and get the best performance. Why would my application need to be reviewed? Here you have some reasons:
  • Classic FDM has some limitations that are now covered by FDMEE. For example, when multi-dimensional mappings were needed, most of the people used mapping scripts which don't perform so well. In FDMEE, we have a new mapping type called Multi-Dimensional mapping. This new mapping type will probably replace all your mapping scripts. In addition, you can use look-up dimensions in FDMEE to support your multi-dimensional mappings.
  • The more locations you have, the more you will have to maintain. With new data load rules you may simplify your location structure. Two locations for two different file types may be replaced by one location and two data load rules having each one import format.
  • Import process is almost always the bottle neck in Classic FDM. Mapping process is performed during the import process and 90% of the customers having performance issues during import follow this rule: Wrong mapping logic design -> poor performance during import (I have seen source files with 1000 rows taking more than 30 minutes...) It's a perfect chance to review your mapping logic in order to get the best performance. Make use of new mapping types!!! multi-dimensional, #SQL, and #FORMAT mask mappings.
  • You will have to re-write your scripts (import, mapping, event, and custom). Even if you keep VB for event and custom scripts, you will have to do some changes as VB Script is replaced by VB .NET. On the other hand, if you decide to use event and custom scripts in will have to completely re-write them. Import scripts (dump) support Jython only. Integration scripts are not supported anymore as import scripts so they need to be implemented in BefImport event script (Jython or VB .NET). And lastly, VB mapping scripts are not supported anymore so you will have to re-write them as Jython or SQL mapping scripts (or replace by multi-dimensional mappings). Being said that, you will have a great opportunity to review your code which sometimes is not as efficient as you think. Also, if you forgot commenting your code, don't forget to do it now :-)
Some answers...

  • Do we have a migration tool (next > next > next ...)? Not in It will be probably be included in but we don't know what will be available for migration yet. The tool will be mainly for FDM metadata (locations, import formats, mappings...)
  • Can I reuse all metadata defined in my Classic FDM application (locations, import formats, etc.)? Yes you can. Some of them have been slightly re-designed but the core functionality is in FDMEE as well. 
  • What about my mappings? can I migrate them? Explicit, In, Between, Like mappings also exist in FDMEE. You will have to re-write your mapping scripts.
  • My application has lots of customization using VBScript, can I migrate them to FDMEE? Already answered above:-)
  • I have built some custom reports in FDM, can I reuse them in FDMEE? Crystal reports have been replaced by RTF templates created in BI Publisher. You can reuse the SQL queries but will have to rebuild the report in RTF format. I don't think migration utility will cover reports.
  • What about Batch Loader? Open batches are now available as a type of batch definition. Same functionality so you will not have many problems migrating them. 
  • So how can I migrate then? There is no unique answer for this question. It all depends on your application(s). In some cases it will be better to start from scratch in FDMEE so you can improve your design. You can also build custom SQL process to move objects such as import formats or locations between FDM and FDMEE databases.

Some advice...
  • Please, take your time for the migration
  • Review your design. Poor design in FDM will be a poor design in FDMEE so don't expect a big performance improvement if you keep it
  • Make use of new FDMEE functionality. It may take some time to rebuild your application but you will be happy with results
  • Find an experienced resource for application assessment. I would suggest someone not involved in the design of your current application. If I built the application I will hardly find any design issue
  • Work from high level to detailed level. That will help you to have a better understanding of your integration flow
  • Do you need 10 days? I would not be worry if you need some time to assess/review/migrate. Performing well during these stage will make you save lot of time/money :-)
Which is your feedback? Please comment!

Wednesday, May 21, 2014

Additional libraries needed in PSU510 for running FDMEE Scripts in IDEs

Hi all,

I have received some emails regarding issues when running FDMEE scripts either from Eclipse or Notepad++ after PSU510 was applied.

We have already discussed about how to run FDMEE scripts in different IDES:

Ok, if you try to run your FDMEE script which has the following initialization code:
You will get an error :-(

java.lang.NoClassDefFoundError: java.lang.NoClassDefFoundError: oracle/core/ojdl/logging/ODLLogger

Let's see it when executing from Notepad++: 
It seems that we need an additional library apart from the two stated in the documentation:
  • aif-apis.jar
  • aif-custom.jar

Which is that library? after googling we go it: ojdl.jar
We can search for it in our EPM environment and we will notice there are many libraries with that name.
I just picked up the one located in:


Good, library is added so I run it again...woops...another error!

java.lang.NoClassDefFoundError: java.lang.NoClassDefFoundError: org/apache/log4j/Layout

It seems that log4j logger is missing as well. Library can be also found in:

Finally, after adding the two libraries, it's working again :-)
If you are using Notepad++:
Or if you are Eclipse fan:

So it seems that PSU510 does not include references to loggers so add them and make it work!


Tuesday, May 13, 2014

A deeper insight into drill-through from Planning & Essbase

Drill-through is a word you should be familiar if you are either FDM or ERPI/FDMEE fan.
I remember trying to explain classic FDM customers differences between drill-through, drill-back, drill-down...all getting crazy with so many drills!

What's drill-through?
FDMEE admin guide defines it as "the navigation from one value in one data source to corresponding data in another source"
Or in other words:
Navigate from my EPM application's data to corresponding source data
The formula would be Data(EPM) > Data(FDMEE) > Data(Source) and the relationship between source data values and target data values is usually N to 1 so multiple source transactions (lines in flat files, rows in tables, line item details in ERP...) aggregate to one target value in our EPM application. But definitions or relationships apart, we basically want to trace our data from source to target or target to source.

Another concept you will be familiar with is landing page. When drilling through from our EPM application, a page will be displayed. That page is the landing page.
When drilling from EPM application to FDMEE we will have the FDMEE landing page opened as new tab in Workspace. From this page we will continue with the drilling to the source system where landing page will be normally opened in another navigator page.

With drill-through functionality FDMEE users can get answer to questions like "Where is this $1000000 coming?" By drilling through we can determine if the root cause are wrong mappings, wrong source data, or any other cause who will let us blame someone else :-)

In this post, I will be focused on drill-through from Planning/Essbase. If you want to know more details about drilling through to source systems I strongly recommend you the following document from Oracle Support.

How does drill-through work?
Firstly, we must say that, although it is recommendable, drill-through from EPM application to FDMEE is optional. We have to specify in the target application options that we want to load drill regions (Setup > Register > Target Application):
When drill regions are enabled, they are loaded into the target application after data is loaded and consolidated. A cell is drillable in the target application if it belongs to the drill regions defined in the application.
What must be clear is the following: you will be only drilling successfully to your FDMEE data if the same intersection was loaded through FDMEE... and you did not clear data in FDMEE!
For example, if you loaded $1000 to Entity1;Account1 intersection, you will not be able to drill-through from Entity1;ParentAccount1 as you did not loaded data for that intersection, even if you see drill-through icon like happens in HFM. Drilling from parents and seein detailed data for all children would be nice but it is not possible yet.

What are drill regions in Planning/Essbase?
We are talking about drill regions but we did not explain what they are, where they are stored, etc.
Drill regions are defined by combination of dimension members. They will say from where we can drill to source. When we define a drill-through URL in Essbase (do not confuse with drill-through concept used by EIS or Essbase Studio), it is stored in the Essbase database file as metadata.
The URL has 4 components:
  • URL Name
  • List of Drillable Regions
  • Level-0 Boolean Flat
Don't worry about creating drill-through definitions, we are working with FDMEE, so FDMEE will create it for you including drill regions.
If you want to learn more about drill-through and drill regions in HP/Essbase, take a look to the following Essbase Addendum Document.

How are drill regions loaded by FDMEE?
For HFM, a file with extension .DRL will be created and exported. This will happen after data is successfully loaded and consolidated (optional). Drill URL and drill regions will be stored in two HFM database tables (HFMApp_ERPI_URL and HFMApp_ERPI):
For HP/Essbase, FDMEE will load drill regions directly into Essbase with no file being exported.
Technically, FDMEE uses Essbase API although that will be transparent for end user. You will see how FDMEE consumes [HPLService] and [EssbaseService] to create drill regions:

Which dimensions are included in the drill region loaded from FDMEE?
The main difference between Planning and Essbase is that for Essbase, you can select which dimensions are included in the drill region (Setup > Register > Target Application) while Planning includes Entity/Account/Scenario/Year/Period.
Having this flexibility for Essbase lets you define the granularity for the drill region. For example, if we select only the Product dimension, we can drill on a cell that at least does not have a null for year.

How are drill regions generated by FDMEE?
I consider this part the most important because is what will let us know how FDMEE works.

  • If your source system is EBS or PSFT and you have defined metadata rules for them, drill regions are created based on the metadata rule
  • For all other source like flat files, drill regions are created based on the target members defined in the data load mappings
  • For Year, Period, and Scenario, FDMEE uses audit information to create drill regions
I know this can generate some controversy so let's analyze each of the three points above.
  • If you have metadata rules, drill regions will be only created for dimension members loaded from your metadata rules. If you need to create additional drill regions you would have to create them via FDMEE script.
  • For the other two points I will show you an example you will understand all details.
Understanding how drill regions are created when no Metadata rules exist
I have successfully loaded my data to Planning/Essbase through FDMEE:

No what?
I navigate to my HP form and check data has been loaded:
I see my data but no cells are drillable! so gold fish + data in the form + no drillable cells = weird.
Did I check process details in FDMEE?
Ok, I can see that there was an error creating drill regions in Essbase. Let's ask your best friend in FDMEE: the process log (with log level set to 5 of course)
The log shows an error in [REGION DEFINITION] so I will analyze the region definition :-)
It seems that there is an account A00090000 which is not familiar to me. I know accounts included in the drill region will come from my data load mapping definition so I should have a look to it:
Rule 30_Group.090 is not correct. Account A00090000 does not exist in Planning/Essbase Cube. However the account was included in the region definition as it is explicitly defined in the data load mapping tables. That made drill region creation failed.
In this support document you will find details about solving your issues with drill regions in Essbase.
I can remove that mapping rule as I don't need it for audit purposes. So after removing the mapping and loading data again...I still see the error!
I then go for plan B, let's have a look to Audit table AIF_APPL_LOAD_AUDIT:
I can see that there are some entries for old executions which failed due to my issue. Probably they have some data related in TDATASEG, so if I remove these entries, that residual data will be removed as well.
Done, now reload again and...
Drill regions created!
I can now navigate to my form and drill to FDMEE to see details:
And my landing page is displayed in Workspace as expected: 

 What can I conclude?
  • Drill regions will be created for dimension members even if you are not loading data to them. If they are explicitly defined as target values in the mappings, then they will be included in the drill region definition (as you can see in the process log shown above)
  • Drill regions will include only dimension members which are defined as explicit target vales (no wildcards) in any kind of mapping type (Explicit of course, In, Between, and Like) For example,  if you have a LIKE mapping rule defined as A100 > HP*, it will not include account HPA100 in the drill region. On the other hand if you have an IN mapping rule defined as "1000,2000,3000" > ACC123 theb ACC123 will be included innthe drill region regardless data is loaded to that account or not.
  • Therefore you must be careful when using wildcards in your mappings like * to *
  • Review your audit tables. It can also happen that you create a mapping for a non-existing target period in your Period Mappings, making this FDMEE fail when creating the drill  regions. For example, if you create a period mapping for "March" but the valid one is "Mar", the audit table will have an entry for the wrong period after data is processed. Fixing the typo will not help, you have to remove wrong entries from audit tables.

Classic FDM Vs. FDMEE
In classic FDM, drill regions were created for all intersections with POV members being loaded:
Having explicit, in, between, or like mappings using wildcards did not impact.
Let's say that we load one file with one data row for specific account:
We can see data loaded in Planning and the drillable cell:
If we enter data manually in the other 3 cells:
VoilĂ ! you can also drill from these cells...can does not mean you will be able to successfully do it as you did not loaded data from FDM to these 3 intersections!
You will be only successfully drilling to intersections loaded through FDM:

As far as I know, the way drill regions are generated may be changed in so they are created based dimension members where data is loaded. Therefore the creation process will be looking more to target values after conversion rather than mapping definitions. In any case, this is something I cannot confirm 100%.

And finally, a bit more about Drill-through ... 

Where can I see drill-through definitions in Essbase?
You can use EAS Console to see drill-through definitions (right click on cube > Edit > Drill through definitions):

Woops, you will not see drill-through definitions created by FDMEE. Why? there is bug in Essbase related to displaying definitions having special character like ":" in the URL name. You can check drill-through definitions exist using MAXL command:
By default the URL name of the drill-through definition created by FDMEE is Year:Scenario

Drill-through from ASO Plan Type
Starting with the release, Planning customers having a full use Essbase license can now have plan types which use aggregate storage databases:
When working with ASO plan types in Planning, you will not be able to drill-through from Forms due to product limitation:
It is only possible to drill-through from Smart View/Financial Reporting using the Essbase Provider:
BTW, if you want to load data to an ASO plan type you will have to do it by registering the Essbase cube and not by loading to the plan type as you normally do when loading to Planning.

I'm sure these two functionality will be introduced in future releases.

Drilling through from where?
We can drill-through from Planning/HFM forms, Smart View, and Financial Reports.
If you want to drill from SV or FR bear in mind that it will only work if the data source is HFM, HP or Essbase. So if you try to open a Financial Report in Smart View you will not see any option to drill.

I noticed the post is bit long. Sorry for that :-)