Question
· Oct 6, 2022
MDX Syntax Help

we have this container code where we want to create more CalcMember properties

<sharedCalcMember FullName="HSAAPATIENT||DEMOGRAPHICS||CITIZENSHIP.NATIONAL.sharedCalcMember" Dimension="Demographics" Name="Citizenship.National" Expression="[Demographics].[H10].[Citizenship].&amp;[USA]" SolveOrder="0" CubeName="HSAAPATIENT" UpperCaseDimension="DEMOGRAPHICS" UpperCaseName="CITIZENSHIP.NATIONAL"></sharedCalcMember>

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Let's say I have a persistent class Sales.
I need to create a report that shows the amount of sales for each branch.
By simply using the class Sales for the source of the cube, I can show what I want with one little exception - the branches that did not have any sales are not shown.
Is there a way around that that does not involve creating a whole new table just for this cube or using a Data connector (they have horrible documentation and I am unable to figure out how to use them properly)?

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I'm looking for a means to dynamically specify and/or limit the data from the source that goes into a cube at build time.

I have a single data class that defines my source, and as the data within this table/collection grows/changes over time, I would like to be able to control which records actually make it into the indexed cube, but I'm having a hard time (short of defining a stored procedure to use instead of the extent query) for populating my cube indexes.

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Question
· Nov 23, 2019
Clearing my cube of data

Hi I am experienced with Ensemble but working in my first DeepSee project, so forgive me if this seems elementary.

My question is, how do I clear the data out? Every time I build I am adding more and more data. But I would like to revert my cube to being 0 so I can reload it and start over? Set my row count back to 0?

I am unable to remove/purge through the management portal

-I've tried to kill my cube Do ##class(%DeepSee.Utils).%KillCube("MyCube.Cube") and then Rebuild it.

Thanks In advance

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Working on "HealthShare 2019.1 [HealthShare Modules: Core:17.0.9941 + Patient Index:17.0.9941 + Clinical Viewer:17.0.9941 + Active Analytics:17.0.9941] - Cache for Windows (x86-64) 2018.1.1 (Build 312_1_18859U) Tue Mar 19 2019 00:43:30 EDT"

In creating a DeepSee Cube - Pivot - Dashboard I am not finding out how to sort my rows by the row label value.

My Rows are numeric values, but they are sorting lexically not numerically. By this I mean that given the Row Values 1, 2, 3, 10, 100 the rows ar being displayed in the Analyzer in the alphabetic order of:

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I want to have a generic PercentOfAll measure that can be used for any dimension of the cube. This PercentOfAll should act like Count, but instead of showing the number of rows in a cell, it will show the percentage (100*number of rows for that member/all rows) .It should not matter what dimension is being viewed. Ex

There are a total of 100 rows in the source class.

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Hello, I've completed this tutorial: https://community.intersystems.com/post/deepsee-period-date-vs-same-peri...
I've used the "year" level instead of a pivot variable.
I want to calculate something like the following variation: 100 * ([DateOfSale].[PTD] - [DateOfSale].[LYPTD]) / [DateOfSale].[LYPTD]
I create a new calculated member, under the same dimmension with the above expression.

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I tried using the DeepSee Troubleshooting guide but the suggestions weren't working. Let's say that the source data we are using to build the cube on has a value out of range. This would cause the cube build/update to fail. How do I see the error log that explains which field has the value out of range? Please be detailed on exactly what command I should enter and where I should enter it in.

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I know per documentation (pasted below) to set the DSTIME parameters for the base class of a cube. If that base class has a property that is another class, do I have to add the DSTIME parameters to that secondary class?

Documentation says the following in a section titled "Enabling Cube Synchronization:"

Before you can synchronize a cube, you must enable the cube synchronization feature for that cube. To do so:

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