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@Anonymous
Please try following version. It's important to better understand the data model before performaing any DAX optimization.
VAR Test =
FORMAT (
COALESCE (
CALCULATE (
SUM ( Sales[Revenue] ),
KEEPFILTERS ( Sales[product_status] IN { "A", "C", "Z", "1", "" } ),
KEEPFILTERS ( Sales[Product] <> BLANK () ),
KEEPFILTERS ( Sales[Sales_Date] IN CALENDAR ( "2022-04-01", "2022-04-30" ) )
),
0
),
"general number"
)
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@Anonymous
USe DAX Studio: Analyzing Performance Analyzer trace in DAX Studio - YouTube
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⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@Anonymous
Please try following version. It's important to better understand the data model before performaing any DAX optimization.
VAR Test =
FORMAT (
COALESCE (
CALCULATE (
SUM ( Sales[Revenue] ),
KEEPFILTERS ( Sales[product_status] IN { "A", "C", "Z", "1", "" } ),
KEEPFILTERS ( Sales[Product] <> BLANK () ),
KEEPFILTERS ( Sales[Sales_Date] IN CALENDAR ( "2022-04-01", "2022-04-30" ) )
),
0
),
"general number"
)
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@Fowmy Thanks for reply, This is working good, but one more thing i want cross check, what is execution time of both DAX queries, how can we check this ?
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