My Fact Table contain 12.5 Millions rows and the measure
Average Sales Amount for Brand Not Equal to Contoso OR Colour Not Equal to Silver
Gives error
The resultset of a query to external data source has exceeded the maximum allowed size of ‘1000000’ rows.
Also some of Direct query are slow too?
Thanks,
Oded Dror

Kudos to your effort, a great post !

I would appreciate if you can have a look to my query below. 🙂

I tried implementing your method on my own. In my scenario, I have one “Transnational Table” with [Debit Amount] & [Credit Amount]. I have taken Dim_Date[Month Name] as a common attribute as it has data for 10 months.

Now as we go step wise, I created same measures:

Step 1- CreditAmount = SUM(‘Transactional_Data(2019)'[ Credit Amount])
DebitAmount = SUM(‘Transactional_Data(2019)'[ Debit Amount])

Plotted two clustered bar chart with the above measures and dragged
Dim_Date[Month Name] into the axis. Also, added average line.

Step 2- Created two Average measures like:

Average_CreditAmt = CALCULATE(
AVERAGEX(
SUMMARIZE(‘Transactional_Data(2019)’,Dim_Date[Month Name],”Credit”,
[CreditAmount]),
[Credit]
),
ALL(Dim_Date[Month Name]),
NOT(ISBLANK(Dim_Date[Month Name]))
)

Average_DebitAmt = CALCULATE(
AVERAGEX(
SUMMARIZE(‘Transactional_Data(2019)’,Dim_Date[Month Name],”Debit”,
[DebitAmount]),
[Debit]
),
ALL(Dim_Date[Month Name]),
NOT(ISBLANK(Dim_Date[Month Name]))
)

Step 3- Created below measures for Conditional Formatting

DebitColor =

VAR month=
SELECTEDVALUE(MonthName[Month Name])
return
IF(
SELECTEDVALUE(Dim_Date[Month Name]) = month
&& [DebitAmount] [Average_DebitAmt] ,
“#003DFF”,
“#E6E6E6”
)
)

Step 4- Created a table for slicer: MonthName = VALUES(‘Dim_Date'[Month Name])

After implementing the above steps, I’d few issues:

1. My slicer doesn’t slice both the bar charts, do we need to create a relationship between the tables ?

2. In your video above, how come your Y-Axis is static and not getting filtered by the size filter ?

Utter confused.