Forum Discussion
DAX query with SUMMARIZECOLUMNS - Optimization
- 10 months ago
Hi Mr_Robot0092 ,
try loading data using dataflows gen 2 and load it in semantic model and use it for paginated report.
below thread may help:
Please give kudos or mark it as solution once confirmed.
Thanks and Regards,
Praful
- 10 months ago
Hi Mr_Robot0092,
Thank you for reaching out to the Microsoft Fabric Community Forum. Also, thanks to amitchandak, for his inputs on this thread.
Thanks for confirming and for testing that. Just to clarify the syntax issue you are seeing with FILTER() inside SUMMARIZECOLUMNS is expected. The function doesn’t allow filters in that position, which is why it errors out.
However, even if the syntax was adjusted, it unfortunately wouldn’t resolve the original memory issue. The error you are facing is caused by the size of the intermediate tables this query generates, combined with the full outer join in DAX. That is what triggers the Resource Governance limit.
The best approach here is still to move the heavy transformations (joins, merging, grouping, filtering) out of DAX and into Power Query / SQL / Warehouse and only return the required dataset to the report. That is what will avoid the memory limitation completely.Refer this link: https://learn.microsoft.com/en-us/dax/summarizecolumns-function-dax
Hope this clears it up. Let us know if you have any doubts regarding this. We will be happy to help.
Thank you for using the Microsoft Fabric Community Forum.
Hello,
I am asking this question again because my initial post did not receive an answer, and I urgently need help to resolve this issue.
I have a DAX query running inside a paginated report. The purpose of the report is to generate an extraction for the client.
When I deploy the report to the Power BI Service and execute it, I receive the following error:
There was an error communicating with Analysis Services. Resource Governance: This query uses more memory than the configured limit. The query — or calculations referenced by it — might be too memory-intensive to run. Either simplify the query or its calculations, or if using Power BI Premium, you may reach out to your capacity administrator to see if they can increase the per-query memory limit. More details: consumed memory MB, memory limit MB. See https://go.microsoft.com/fwlink/?linkid=2159752 to learn more.
What I have tried so far (issue still persists):
Optimized the DAX query
Created a calculated table in Power Query
Split the logic into two calculated tables in Power Query
As bellow my last version of the query :
EVALUATE
//------------------------------------
// DATASET A (View A)
//------------------------------------
VAR A_Base =
CALCULATETABLE (
SUMMARIZECOLUMNS (
'DimDate'[DateKey],
'DimDate'[Period],
'DimAttribute1'[CategoryA],
'DimAttribute2'[CategoryB],
'DimAttribute3'[CategoryC],
'DimEntityA'[EntityKey],
'DimEntityB'[ExternalKey],
'DimLocationA'[LocationCode],
'DimLocationA'[DirectionCode],
'DimGroupA'[GroupLabel],
'DimEntityA'[EntityName],
'DimAttribute1'[City],
'DimAttribute1'[PostalCode],
'DimStatus'[StatusLabel],
'DimHierarchyA'[HierarchyLevel],
'DimEntityA'[EntityType],
'DimEntityA'[EntitySubtype],
"MetricA_Main", [MetricA_Main]
),
'DimDate'[Period] = "2024-09",
'DimAttribute4'[CategoryA] = "All",
DimTypeOrder[OrderCode] IN { 11, 32}
)
VAR A_WithMetrics =
ADDCOLUMNS (
A_Base,
"MetricA_Flag1", [MetricA_Flag1],
"MetricA_Flag2", [MetricA_Flag2],
"MetricA_Flag3", [MetricA_Flag3],
"MetricA_Flag4", [MetricA_Flag4],
"MetricA_FlagAM", [MetricA_FlagAM],
"MetricA_FlagPM", [MetricA_FlagPM],
"MetricA_Status", [MetricA_Status],
"MetricA_Value1", [MetricA_Value1],
"MetricA_Value2", [MetricA_Value2],
"MetricA_Value3", [MetricA_Value3],
"MetricA_Value4", [MetricA_Value4]
)
VAR A_Filtered =
FILTER ( A_WithMetrics, NOT ISBLANK ( [MetricA_Main] ) )
VAR A_View =
SELECTCOLUMNS (
A_Filtered,
"Date", FORMAT ( 'DimDate'[DateKey], "DD-MM-YYYY" ),
"Period", 'DimDate'[Period],
"CategoryA", 'DimAttribute1'[CategoryA] & "",
"CategoryB", 'DimAttribute2'[CategoryB],
"CategoryC", 'DimAttribute3'[CategoryC],
"EntityKey", 'DimEntityA'[EntityKey] & "",
"ExternalKey", 'DimEntityB'[ExternalKey] & "",
"Location", 'DimLocationA'[LocationCode] & "",
"Direction", 'DimLocationA'[DirectionCode] & "",
"GroupLabel", 'DimGroupA'[GroupLabel] & "",
"EntityName", 'DimEntityA'[EntityName] & "",
"City", 'DimAttribute1'[City] & "",
"PostalCode", 'DimAttribute1'[PostalCode] & "",
"StatusLabel", 'DimStatus'[StatusLabel],
"Hierarchy", 'DimHierarchyA'[HierarchyLevel] & "",
"EntityType", 'DimEntityA'[EntityType] & "",
"EntitySubtype", 'DimEntityA'[EntitySubtype] & "",
"Metric_Value1", [MetricA_Value1],
"Metric_Value2", [MetricA_Value2],
"Metric_Value3", [MetricA_Value3],
"Metric_Value4", [MetricA_Value4],
"Flag1", [MetricA_Flag1],
"Flag2", [MetricA_Flag2],
"Flag3", [MetricA_Flag3],
"Flag4", [MetricA_Flag4],
"Flag_AM", [MetricA_FlagAM],
"Flag_PM", [MetricA_FlagPM],
"StatusFlag", [MetricA_Status]
)
//------------------------------------
// DATASET B (View B)
//------------------------------------
VAR B_Base =
CALCULATETABLE (
SUMMARIZECOLUMNS (
'DimDate'[DateKey],
'DimDate'[Period],
'DimAttribute4'[CategoryA],
'DimAttribute2'[CategoryB],
'DimAttribute3'[CategoryC],
'DimEntityC'[EntityKey],
'DimEntityD'[ExternalKey],
'DimLocationB'[LocationCode],
'DimLocationB'[DirectionCode],
'DimGroupB'[GroupLabel],
'DimEntityC'[EntityName],
'DimAttribute4'[City],
'DimAttribute4'[PostalCode],
'DimStatus'[StatusLabel],
'DimHierarchyB'[HierarchyLevel],
'DimEntityC'[EntityType],
'DimEntityC'[EntitySubtype],
"MetricB_Main", [MetricB_Main],
"MetricB_Alt", [MetricB_Alt]
),
'DimDate'[Period] = "2024-09",,
'DimAttribute4'[CategoryA] = "All"
)
VAR B_WithMetrics =
ADDCOLUMNS (
B_Base,
"MetricB_Flag1", [MetricB_Flag1],
"MetricB_Flag2", [MetricB_Flag2],
"MetricB_Flag3", [MetricB_Flag3],
"MetricB_Flag4", [MetricB_Flag4],
"MetricB_FlagAM", [MetricB_FlagAM],
"MetricB_FlagPM", [MetricB_FlagPM],
"MetricB_Status", [MetricB_Status],
"MetricB_Alt1", [MetricB_Alt1],
"MetricB_Alt2", [MetricB_Alt2]
)
VAR B_Filtered =
FILTER (
B_WithMetrics,
NOT ( ISBLANK ( [MetricB_Main] ) && ISBLANK ( [MetricB_Alt] ) )
)
VAR B_View =
SELECTCOLUMNS (
B_Filtered,
"Date", FORMAT ( 'DimDate'[DateKey], "DD-MM-YYYY" ),
"Period", 'DimDate'[Period],
"CategoryA", 'DimAttribute4'[CategoryA] & "",
"CategoryB", 'DimAttribute2'[CategoryB],
"CategoryC", 'DimAttribute3'[CategoryC],
"EntityKey", 'DimEntityC'[EntityKey] & "",
"ExternalKey", 'DimEntityD'[ExternalKey] & "",
"Location", 'DimLocationB'[LocationCode] & "",
"Direction", 'DimLocationB'[DirectionCode] & "",
"GroupLabel", 'DimGroupB'[GroupLabel] & "",
"EntityName", 'DimEntityC'[EntityName] & "",
"City", 'DimAttribute4'[City] & "",
"PostalCode", 'DimAttribute4'[PostalCode] & "",
"StatusLabel", 'DimStatus'[StatusLabel],
"Hierarchy", 'DimHierarchyB'[HierarchyLevel] & "",
"EntityType", 'DimEntityC'[EntityType] & "",
"EntitySubtype", 'DimEntityC'[EntitySubtype] & "",
"MetricB_Main", [MetricB_Main],
"MetricB_Alt", [MetricB_Alt],
"MetricB_Alt1", [MetricB_Alt1],
"MetricB_Alt2", [MetricB_Alt2],
"Flag1", [MetricB_Flag1],
"Flag2", [MetricB_Flag2],
"Flag3", [MetricB_Flag3],
"Flag4", [MetricB_Flag4],
"Flag_AM", [MetricB_FlagAM],
"Flag_PM", [MetricB_FlagPM],
"StatusFlag", [MetricB_Status]
)
//------------------------------------
// FULL OUTER JOIN
//------------------------------------
VAR JoinA =
SELECTCOLUMNS (
NATURALLEFTOUTERJOIN ( A_View, B_View ),
"Date", [Date],
"Period", [Period],
"CategoryA", [CategoryA],
"CategoryB", [CategoryB],
"CategoryC", [CategoryC],
"EntityKey", [EntityKey],
"ExternalKey", [ExternalKey],
"Location", [Location],
"Direction", [Direction],
"GroupLabel", [GroupLabel],
"EntityName", [EntityName],
"City", [City],
"PostalCode", [PostalCode],
"StatusLabel", [StatusLabel],
"Hierarchy", [Hierarchy],
"EntityType", [EntityType],
"EntitySubtype", [EntitySubtype],
"MetricA_Main", [MetricA_Main],
"MetricA_Value1", [MetricA_Value1],
"MetricA_Value2", [MetricA_Value2],
"MetricA_Value3", [MetricA_Value3],
"MetricA_Value4", [MetricA_Value4],
"MetricB_Main", [MetricB_Main],
"MetricB_Alt", [MetricB_Alt],
"MetricB_Alt1", [MetricB_Alt1],
"MetricB_Alt2", [MetricB_Alt2],
"Flag1", [Flag1],
"Flag2", [Flag2],
"Flag3", [Flag3],
"Flag4", [Flag4],
"Flag_AM", [Flag_AM],
"Flag_PM", [Flag_PM],
"StatusFlag", [StatusFlag]
)
VAR JoinB =
SELECTCOLUMNS (
NATURALLEFTOUTERJOIN ( B_View, A_View ),
"Date", [Date],
"Period", [Period],
"CategoryA", [CategoryA],
"CategoryB", [CategoryB],
"CategoryC", [CategoryC],
"EntityKey", [EntityKey],
"ExternalKey", [ExternalKey],
"Location", [Location],
"Direction", [Direction],
"GroupLabel", [GroupLabel],
"EntityName", [EntityName],
"City", [City],
"PostalCode", [PostalCode],
"StatusLabel", [StatusLabel],
"Hierarchy", [Hierarchy],
"EntityType", [EntityType],
"EntitySubtype", [EntitySubtype],
"MetricA_Main", [MetricA_Main],
"MetricA_Value1", [MetricA_Value1],
"MetricA_Value2", [MetricA_Value2],
"MetricA_Value3", [MetricA_Value3],
"MetricA_Value4", [MetricA_Value4],
"MetricB_Main", [MetricB_Main],
"MetricB_Alt", [MetricB_Alt],
"MetricB_Alt1", [MetricB_Alt1],
"MetricB_Alt2", [MetricB_Alt2],
"Flag1", [Flag1],
"Flag2", [Flag2],
"Flag3", [Flag3],
"Flag4", [Flag4],
"Flag_AM", [Flag_AM],
"Flag_PM", [Flag_PM],
"StatusFlag", [StatusFlag]
)
RETURN
DISTINCT ( UNION ( JoinA, JoinB ) )
Any help, best practices, or alternative approaches for optimizing this type of DAX query over a large fact table would be greatly appreciated.
- GeraldGEmerick10 months ago
Memorable Member
Mr_Robot0092 Are you able to provide sample data so that we can see what this code generates and what might be done to accomplish the same result but more efficiently?
- Mr_Robot009210 months ago
Helper I
GeraldGEmerick Thanks for your answer. Unfortunately, it’s difficult for me to share sample data because the dataset contains sensitive client information and can’t be publicly exposed.
However, I can anonymize columns, provide the structure of the tables, and describe the expected output if that helps. Let me know what format would be most useful.
- Praful_Potphode10 months ago
Super User
Hi Mr_Robot0092 ,
try loading data using dataflows gen 2 and load it in semantic model and use it for paginated report.
below thread may help:
Please give kudos or mark it as solution once confirmed.
Thanks and Regards,
Praful