Debug DAX variables in Power BI and Power Pivot

When you’re dealing with a beast like DAX you can use any help there is, right? So here I show you how you can debug DAX variables who contain tables or show the result of multiple variables at once. So you can easily compare them with each other to spot the reason for problems fast.

Please note, that currently only comma separated DAX code is supported.

Example

Watch this measure from Gerhard Brueckl’s brilliant solution for dynamic TopN clustering with others. It contains 5 variables who return tables and one variable with a scalar:

Measure with variables who contain tables and scalars

If you want to follow along how this calculation is evolving for each value in a matrix, my VarDebugMeasure will show details of every variable like so:

Measure to debug DAX variables

Method

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Why Power BI isn’t suitable for Financial Statements (… currently … hopefully …)

!! This is a clickbait post to get your vote for some missing features in Power BI !!

Although this might not be what the inventors of Power BI had in mind, large lots of folks are trying to create classical financial statements in it. And putting aside the afford that might go into getting the numbers right, there is still a major drawback to swallow:

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Memory efficient clustered running total in Power BI

Today I want to share a scenario where a running total calculation in the query editor saved a model that run out of memory when done with DAX:

Problem

The model couldn’t be refreshed and returned out of memory error with a calculated column in the fact table of over 20 Mio rows (from a csv-file). A running total should be calculated for each “JourneyID”, of which there were over 1 Mio in the table itself. This rose memory consumption during refresh by over 300 % – until it finally errored out:

Besetzung =
CALCULATE (
    SUM ( Fact[Entries] )
– SUM ( Fact[Exits] );
    FILTER (
        ALLEXCEPT ( Fact; Fact[JourneyID] );
Fact[StopId]
<= EARLIER ( Fact[StopId] )
    )
)

Solution

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Right Aligning Text in Power BI: Format Improvements for Easy Profit&Loss Reports

Edit 14-Dec-2017: Now that we can right-align text measures in PowerBI, a SWITCH-measure like here: http://www.thebiccountant.com/2017/04/24/kpis-in-easy-profit-and-loss-for-powerbi/#comment-719 is the best alternative in my eyes. No need to read on 🙂

As shown in my last part of the Easy P&L-series, Power BI unfortunately still lacks some fundamental formatting options like:

  1. Right aligning text (please vote for it here: Right align text in Power BI – edit 15th Nov: We’re there: Right aligning text is available now: https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-november-2017-feature-summary/)
  2. Display numbers in different formats within one column (either to be implemented as a “neutral” format for Switch-measures, where the referenced measures carry the formatting attributes already, or as a part of a formula-based conditional formatting) (Thanks Matt for the voting-link: Conditional format SWITCH measure)

So for the moment I choose between the following workaround-options:

  1. Display %-values in a separate column
  2. Format numbers as text and fill up with spaces so that all end up right aligned
  3. See the suggestion from Matt Allington in the comments below (very nice)

Right aligning text or percentage figure in new column

For both options the preparations are the same:

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KPIs in Easy Profit and Loss for PowerBI

Welcome to the last part of my Easy Profit & Loss series where I will cover KPIs in rows & columns:

1) KPIs in columns

Show all your figures as a percent of turnover for example: Nice & easy: Divide current figure by the total sum of turnover:

Turnover% =
ABS (
    DIVIDE (
[ActSign],
        CALCULATE (
[ActSign],
            FILTER (
                ALL ( IndividualAccountsLayout ),
IndividualAccountsLayout[Description in Report] = “Income”
            )
        )
    )
)
DAX Formatter by SQLBI

We need to leave the current row context to retrieve the turnover-value in each row, therefore the ALL.

2) KPIs in rows

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