In DeepSee, having a customer account cube. The cube includes a time dimension AccountCreationDate.

How do you create a calculated measure to get the total number of accounts from the beginning to a certain date in abscissa ?

I tried many things including this:
AGGREGATE(%TIMERANGE([AccountCreationDate].[H1].[MonthYear].&[190001],[AccountCreationDate].[H1].[MonthYear].CURRENTMEMBER) ,[Measures].[%Count])

But I don't get the right result because the date in abscissa creates a filter on the first date.

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In looking at the Production monitor within Ensemble, I was wondering if there is a way we could customize it for our use. I notice it is basically a dashboard.

For example I would only like to truly display those Services, Processes, and Operations that are truly in dire need of attention. The Monitor out of the box just seems too busy, and I would like to simplify it.

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Following instructions on this page https://docs.intersystems.com/latest/csp/docbook/Doc.View.cls?KEY=D2IMP_... I am trying to create a Data Connector to be used as a base class for a cube with update support.
That page suggests that putting an SQL query inside XData block is not suitable for a Data Connector that supports updates.
Later it also suggests that to enable updates your SQL query must include 

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I need to pass multiple values to a FILTER to a DeepSee DASHBOARD via the URL. The documentation seems to indicate this can be done, i.e.: "Where each filterspec is filter_name.filter_values" but there are no examples I can find that indicates what is used to separate multiple values. Say I want to pass the three values 5, 6, and 1395 to a filter. To pass just the 5 I know this works:

&SETTINGS=FILTER:LEAD.MYUSERID.H1.MYUSERID.5

but how do I include 6 and 1395. None of the following seem to work:

&SETTINGS=FILTER:LEAD.MYUSERID.H1.MYUSERID.5.6.1395

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I currently have an MDX query/calculated measure as per the below:

 
[DaysOnListRange].[H1].[DaysOnListRange].&[Days 91 - 180]+ [DaysOnListRange].[H1].[DaysOnListRange].&[Days 181 - 365]+
[DaysOnListRange].[H1].[DaysOnListRange].&[Days 365+]

however it currently doesn't sum when there is a blank in the data.
How can I amend this query to include empty cells/only sum cells with data?

I've tried using nonempty but it doesn't appear to work in this context

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I was having trouble with some dimension based calculated members defined in Analyzer.  They would work and then not work.   At one point I had two identical calculated measures, same code, same specification and one would work and one would not.  I was trying to set them up in "shared storage", that checkbox in the calculated member dialog that should allow the measures to be used across multiple pivots. 

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Hi!
I am working on a project and I am facing a weird problem. I have created an MDX using Analyzer. This MDX executes very fast. I am trying to automate its execution with %DeepSee.ResultSet and the query never returns:

Set tSC = oMDX.%PrepareMDX(tMDX)
Quit:$System.Status.IsError(tSC)

Set tSC = oMDX.%Execute()
Quit:$System.Status.IsError(tSC)

What could be causing %Execute() to take so long to run while Analyzer is responding fast?

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Article
Robert Cemper · Sep 11, 2021 2m read
Successful Troubleshooting

During the last weeks, I was working on various issues and problems related to SW development.
I found that quite often problem analysis was mostly chasing issues just on the surface
but not really attacking the deeper reasons of the problem and follow the consequences.
It's like the doc that stops your leg bleeding but doesn't see that it is broken.

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Hi.

I would like to know if DeepSee has some feature regarding synchronization which could help me with this:

I have two tables, TableA and TableB in a 1:n relationship, and one cube for each table, CubeA and CubeB.
CubeA have a list dimension based on records from TableB.
Both tables has DSTIME parameter set to "AUTO".

Some application proccess updates data only on TableB, leading an entry on ^OBJ.DSTIME global for synchronization of CubeB.
However, as the TableA wasn't updated, there isn't such entry for CubeA.

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Question
Chip Gore · Nov 10, 2015
Dashboard Branding...

Hello DeepSee'ers -

How hard is it to brand a dashboard to a login?

The situation is, I have a Partner that is looking to create common Dashboards in a SaaS model where the Partner's Clients would want to have their individual views of this common dashbaord be branded (logos, color, styles, etc.) to match the Client's branding. This my Partner's Client's End Users will see this common dashboard as the dashboard from the "Client" and not the "Partner" (and certainly not ISC branding)

ie.  ISC -> Partner -> Client -> End User

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greetings Community!

InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.

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HI

-- We have our Pivot ready for some data for all accounts. And we want to now filter it by Account

[Account].[H1].Account.&[1]

It works fine at the pivot level and it filters the records. We save the pivot with no filter values as we want users to decide the Account they want to filter for

-Now If i save this pivot without a value of a filter , then obviously it has all records and I want to filter it at the Dashboard level on my page.

URL I am passing

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We have a rest service that collects production status information like whether a connection is disabled, enabled, etc.

I would like to present that data in a DeepSee dashboard but do not know how to create a pivot that accesses the data gathered by the service.

Does anyone have any information or documentation about how a dashboard would be configured to use use a Rest service?

 

Thank you

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When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.

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