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j0710
Frequent Visitor

Modifying DAX Query for Large Dataset in Power Automate "Run a Query against a Dataset"

I have created a table chart using a field parameter with more than 1000 rows in Power BI. In Power Automate, I am using the "Run a Query against a Dataset" action, and I require assistance in modifying the DAX query.
 
Current DAX Query:
-----------------------------------------------------------------------------------
// DAX Query
DEFINE
VAR __DS0Core = 
SUMMARIZECOLUMNS(
ROLLUPADDISSUBTOTAL(
ROLLUPGROUP(
Table_Name[PolicyTypeCode],
Table_Name[Channel],
Table_Name[Executive Code],
Table_Name[Executive Name],
Table_Name[BrokerExecCode],
Table_Name[BrokerExectiveName],
'GIM_Branch'[Branch Name],
Table_Name[Motor & Non Motor],
Table_Name[PolicyTypeDesc],
'Vehicle_Info'[PrdClassCode],
'Vehicle_Info'[PrdClassDesc]
), "IsGrandTotalRowTotal"
),
"count_NOP", Table_Name[count NOP],
"Countpkpoliid", IGNORE(
CALCULATE(COUNTA(Table_Name[pkpoliid]))
)
)
 
VAR __DS0PrimaryWindowed = 
TOPN(
502,
__DS0Core,
[IsGrandTotalRowTotal],
0,
Table_Name[PolicyTypeCode],
1,
Table_Name[Channel],
1,
Table_Name[Executive Code],
1,
Table_Name[Executive Name],
1,
Table_Name[BrokerExecCode],
1,
Table_Name[BrokerExectiveName],
1,
'GIM_Branch'[Branch Name],
1,
Table_Name[Motor & Non Motor],
1,
Table_Name[PolicyTypeDesc],
1,
'Vehicle_Info'[PrdClassCode],
1,
'Vehicle_Info'[PrdClassDesc],
1
)
 
VAR __DS0CoreNoInstanceFiltersNoTotals = 
FILTER(KEEPFILTERS(__DS0Core), [IsGrandTotalRowTotal] = FALSE)
 
EVALUATE
GROUPBY(
__DS0CoreNoInstanceFiltersNoTotals,
"Mincount_NOP", MINX(CURRENTGROUP(), [count_NOP]),
"Maxcount_NOP", MAXX(CURRENTGROUP(), [count_NOP]),
"MinCountpkpoliid", MINX(CURRENTGROUP(), [Countpkpoliid]),
"MaxCountpkpoliid", MAXX(CURRENTGROUP(), [Countpkpoliid])
)
 
EVALUATE
__DS0PrimaryWindowed
 
ORDER BY
[IsGrandTotalRowTotal] DESC,
Table_Name[PolicyTypeCode],
Table_Name[Channel],
Table_Name[Executive Code],
Table_Name[Executive Name],
Table_Name[BrokerExecCode],
Table_Name[BrokerExectiveName],
'GIM_Branch'[Branch Name],
Table_Name[Motor & Non Motor],
Table_Name[PolicyTypeDesc],
'Vehicle_Info'[PrdClassCode],
'Vehicle_Info'[PrdClassDesc]
 
 
// DAX Query 
DEFINE
VAR __DS0Core = 
SUMMARIZE(
'FIELD_PARAMETER',
'FIELD_PARAMETER'[FIELD_PARAMETER Fields],
'FIELD_PARAMETER'[FIELD_PARAMETER Order],
'FIELD_PARAMETER'[FIELD_PARAMETER]
)
 
VAR __DS0BodyLimited = 
TOPN(
152,
__DS0Core,
'FIELD_PARAMETER'[FIELD_PARAMETER Order],
1,
'FIELD_PARAMETER'[FIELD_PARAMETER Fields],
1,
'FIELD_PARAMETER'[FIELD_PARAMETER],
1
)
 
EVALUATE
__DS0BodyLimited
 
ORDER BY
'FIELD_PARAMETER'[FIELD_PARAMETER Order],
'FIELD_PARAMETER'[FIELD_PARAMETER Fields],
'FIELD_PARAMETER'[FIELD_PARAMETER]
-----------------------------------------------------------------------------------
 
I am seeking guidance on how to optimize this query to handle large datasets efficiently and improve performance.
 
Any suggestions or insights would be greatly appreciated.
 
Thank you for your assistance!

 

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

Use a Table visual in Power BI to collect the columns and measures you need, with the required filters applied.  Disable Row Totals. Then grab the resulting DAX - you will see that it is much simpler.  Finally remove the TOPN limiter.

View solution in original post

4 REPLIES 4
lbendlin
Super User
Super User

Use a Table visual in Power BI to collect the columns and measures you need, with the required filters applied.  Disable Row Totals. Then grab the resulting DAX - you will see that it is much simpler.  Finally remove the TOPN limiter.

A follow question if you don't mind, what is the row limit for that operation?  How many rows can be returned through Power Automate?

As far as I remember it is a payload size limit (rows times columns, up to 100 MiB), not a row limit. Use chunking/paging.

Hi @lbendlin,

Your insights were incredibly helpful and allowed me to overcome the challenge I was facing.

Thank you for taking the time to share your expertise with the community.
Your contributions are truly valued and make a difference.

Best regards,
jackson
Let's connect linkedin : )
https://linkedin.com/in/jackson-s-652396240

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