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Hi expert,
I have a visual took over 97 second to show.
The connection method is DQ and I've eliminated the column don't need.
Can someone help me to revise the query so that the performance can improve?
DEFINE VAR __DS0FilterTable =
FILTER(
KEEPFILTERS(VALUES('dim_time'[dataTime])),
'dim_time'[dataTime] >= DATE(2019, 12, 5)
)
EVALUATE
SAMPLE(
3502,
SUMMARIZECOLUMNS(
'dim_time'[dataTime],
__DS0FilterTable,
"Maxmax_Process_PrivateBytes_coreServiceShell", CALCULATE(MAX('vw_osmetrics_hour'[max_Process_PrivateBytes_coreServiceShell])),
"Maxmax_Process_WorkingSet_coreServiceShell", CALCULATE(MAX('vw_osmetrics_hour'[max_Process_WorkingSet_coreServiceShell])),
"Maxmax_Process_PrivateBytes_dsa", CALCULATE(MAX('vw_osmetrics_hour'[max_Process_PrivateBytes_dsa])),
"Maxmax_Process_WorkingSet_dsa", CALCULATE(MAX('vw_osmetrics_hour'[max_Process_WorkingSet_dsa]))
),
'dim_time'[dataTime],
1
)
ORDER BY
'dim_time'[dataTime]
If you are using direct query, you need to get your dba to analyse the query being sent to the DB and optimise from there. It is unlikely to be the DAX.
Hi Matt,
Thanks for your reply!
I've revised the question.
The query showed in the question is the query sent to the DB (Kusto in this case) I collected through DAX studio.
This doesn't change anything. There are two main ways you can use Power BI. Firstly you can use import mode, where all the data is loaded into a tabular data model. You can improve the performance of an import model with better DAX (assuming you have a DAX problem). The second method is direct query mode. In the second mode Power BI generates a query and sends it to the underlying database to be fulfilled. If the performance is bad then is there is an issue with the database, not Power BI. You should ask your DB developer to monitor the query going to the database and create indexes and/or other changes to improve the performance of the query.
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