Introduction

Data Map Error:

Push Data failed. Error: Exported data size of data map that is being executed from groovy is more than permissible amount: 100 MB.

If you are confused, join the club.  The results are inconsistent as some data pushes are successful that are over the 100MB limit.  So, why the following error? Read more

 

Introduction

One of the fundamental features of a Groovy calculation is the ability to dynamically grab aspects of a grid, and getting the POV is something that is required to dynamically generate an Essbase calculation.  There are times when the entire POV is required, times when only members from specific dimensions are needed, and situations where only the rows and columns of the edited cells are used to construct effective fix statements.  All 3 of these situations will be discussed. Read more

 

Introduction

Accessing Substitution Variables is critical in most calculations, and accessing them in Groovy is a little more complex than it needs to be with not having an API to get them.  Since the SubstitutionVariable is not available, there are a couple ways to get them.  The precursor to this post is three-fold.

  1. Read the Bug Report: Groovy SubstitutionVariable Class Not Functioning  post on Jan 8, 2018 regarding the SubstitutionVariable class availability.
  2. Thanks to Abhi for providing a great alternative.
  3. It may be helpful to read Adventures in Groovy Part 4: Run Time Prompts to understand how to access RTPs in a Groovy calculation.

In my bug report above, I suggested grabbing them via a hidden column or row from a form.  A reader suggested a another way to do this, and I think it is a better way to accomplish it.  Rather than grabbing the substitution variable by adding it to the form and hiding the column/row from the user, Abhi provided a much cleaner approach to working around not having access to the SubstitutionVariable class by using hidden RTPs.

Create Run Time Prompts to Access Substitution Variables

Assume the following 3 variables are required in business rules.  Create a new RTP for each.  The naming convention is irrelevant, but should be considered and be consistent for easy reference in the business rules.  In this read, I have assumed there isn’t an existing RTP with the defaults set to a substitution variable.  Even if there is, it might be beneficial to create ones specifically for this need so future changes don’t impact the values.

Name: subVar_CurMonth
Type: Member
Dimension: Period
Default Value: &v_CurMonth
RTP Text: N/A

Name: subVar_CurYear
Type: Member
Dimension: Period
Default Value: &v_CurYear
RTP Text: N/A

Name: subVar_BudYear
Type: Member
Dimension: Period
Default Value: &v_BudYear
RTP Text: N/A

Business Rule Inclusion

Inside the business rule, the following convention is required to add the variables.

/*RTPS: {subVar_CurMonth subVar_CurYear subVar_BudYear}*/

Set all the RTPs in the Variables tab to set to hidden so the user isn’t prompted for these.  Now, the substitution variables can be referenced.

def varCurMonth = rtps.subVar_CurMonth.toString()
def varCurYear = rtps.subVar_CurYear.toString()
def varBudYear = rtps.subVar_BudYear.toString()

Conclusion

Since these are likely to be used in many rules, it would be beneficial to add these to a script and embed that script into the rules that need to access these.  Any new variable that needs to be included can be added to the script, and all the business rules would then have access to them.  There are a number of ways to do this with Groovy calculations, but the simplest way is to embed it like a non Groovy business rule.  This can be dragged from the left pane, or entered manually.  The syntax is

%Script(name:="script name",application:="application Name",plantype:="plantype name"

If and when Oracle releases the class that provides direct access to sub vars, expect it to be documented here.

 

Introduction

When an application is used to demonstrate sensitive information, a training class includes people that shouldn’t see live data, or security is being tested, often times using real data is not an option.  I have written PowerShell scripts and .NET applications to randomize data from Essbase exports, as well as Custom Defined Functions to randomize with calculations.  Read more

 

If you have jumped into Groovy Calculations, one of the things you likely would try to do is grab a value for a sub var.  Hopefully, you haven’t spent too much time before reading this.  I wasted a ton of time trying to get this to work before I opened a ticket with Oracle.  This class is NOT available yet and was inadvertently included in the public docs at https://docs.oracle.com/cloud/latest/epm-common/GROOV/.  The development team told me they are going to remove it from the API docs. Read more

 

Introduction

Groovy provides a very easy way to interact with the user via run time prompts, or RTPs.  These can be linked to dimensions, members, and input.  One of the huge benefits of getting RTPs in Groovy is that the result can be validated, and the calculation can be cancelled if they don’t validate (we will touch on this in a future post).

The Solution

This is one of the easier things to do with a Groovy calculation.  There are two things required.  First, the Groovy calculation must prompt the user to select a value.  This is done by doing the following.

/*RTPS: {RTP_Consolidate_Data}*/

At any point in the script after the above, the value can be used.  If it is going to be used multiple times, it might be easier to set a variable.  Regardless of the approach, the value can be referenced using the rtps object as follows.

 String sRTP
 sRTP = rtps.RTP_Consolidate_Data.toString()

That is all that is required!

Conclusion

Beyond the obvious uses of an RTP, I have started using these for a number of other reasons.

  • On global forms where multiple values may be changed throughout a short period of time and execute long running calculations, like allocations, I have seen benefits of prompting a user with a yes/no smartlist RTP.  If the user has more changes, they may not need to execute the calculation after every save.  This gives them the option.
  • If there is a requirement where some prompts are dependent on other prompts, using RTPs in Groovy gives you the flexibility to validate the combination.  For example, if an employee is set to hourly with a VP title, the prompts can be validated and returned to the user as invalid combinations before the prompts are removed from user view.
 

A bug with EPM Automate has been identified.  This is not replicated on every version or client.  Please pay attention to any EPM Automate  updates installed.  In the past, I was able to install the latest version without any issues.  Currently, the install prompts users to uninstall the older version.  In the past, this worked as expected, but now, when selected, this has no effect and the new EPM Automate is NOT installed, leaving you with the existing version.  Read more

 

Introduction

With the introduction of Groovy Calculations this summer, one of the things I use most, especially for applications with data forms that include a large sparse dimension in the rows with suppression on, is the option to loop through cells and identify only the POV on the cells that have changed.  Read more

 

Reports out of Hyperion Planning are typically identified in 2 categories.

  • Standard “canned” reports – These reports are used generically in a global aspect to report data in common formats and standardized views. These are often generated in volume and printed for presentations and executive review.
  • Ad hoc reports – These reports are more flexible, often adjusted to explain current variances and market conditions. These reports are most likely generated by analysts and managers producing unique views to explain variances that exist at a point in time.  The need to alter, change, and customize these reports are essential to identify and explaining current business conditions.

Read more

 

Introduction

We all know the Data Form validation rules are serviceable, but they are not robust.  When Smart View advanced and forms were opened in Excel, the validation logic developers had in JavaScript became useless.  Since then, we have really missed the ability to communicate with the user interactively with visual cues and validation rules that halted the saving of data.  Well, Groovy calculations to the rescue! Read more