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I have below code and want to create a Materialized View for it:
Solved! Go to Solution.
Hello @Anonymous
the Spark SQL engine in Fabric Lakehouse does not recognize the materialized view syntax. In Microsoft Fabric, while materialized views exist, they are not created using the standard Spark SQL statement. Instead, materialized views in Fabric are designed to be created through a KQL-based interface
in kusto query:
.create materialized-view [ifnotexists] <ViewName> on table <SourceTable>
{
// Your summarize-based aggregation query here
}
use %kusto magic command
if this is helpful please accept the solution
Hello @Anonymous
the Spark SQL engine in Fabric Lakehouse does not recognize the materialized view syntax. In Microsoft Fabric, while materialized views exist, they are not created using the standard Spark SQL statement. Instead, materialized views in Fabric are designed to be created through a KQL-based interface
in kusto query:
.create materialized-view [ifnotexists] <ViewName> on table <SourceTable>
{
// Your summarize-based aggregation query here
}
use %kusto magic command
if this is helpful please accept the solution
First of all I would remove one of the equal signs in the WHERE clause, to make it read "month = 'Apr'". Does the error still persist after that?
Based on what I have explored and figured out, MLVs can only be created within lakehouses that have Lakehouse schema enabled. if your Lakehouse doesn't have schema enabled you need to create a new one as there is no option to enable Lakehouse Schemas for an already existing Lakehouse, not yet at least for now. Please refer the response in my post here: https://community.fabric.microsoft.com/t5/Fabric-platform/Can-we-enable-Lakehouse-Schemas-for-an-alr...