This version introduces a new value that specifies Short query bias with fast cancellation for the Threadpool\SchedulingBehavior property setting. Query interleaving - Short query bias with fast cancellation Specified in Kilobytes, this property overrides the QueryMemoryLimit server memory property value for a connection. If the query hits the limit specified, the engine cancels the query and returns an error to the caller, reducing impact on other concurrent users.Ĭlient applications can further reduce the memory allowed per query by specifying the DbpropMsmdRequestMemoryLimit connection string property. You can better control process expensive queries that result in significant materialization. Now in SSAS 2022, it also applies to MDX queries, effectively covering all queries. This version includes improved accuracy for the QueryMemoryLimit server memory property and DbpropMsmdRequestMemoryLimit connection string property.įirst introduced in SSAS 2019, the QueryMemoryLimit server memory property applied only to memory spools where intermediate DAX query results are created during query processing. To learn more, see Announcing improved MDX query performance in Power BI | Microsoft Power BI Blog. Fewer SE queries mean fewer expensive scans over large models, which results in significant performance gains, especially when connecting to a tabular models in Direct Query mode. Common MDX query patterns now require fewer SE queries where previously numerous SE queries were necessary to support different granularity. Client applications that use Multidimensional Expressions (MDX) to query model/dataset data such as Microsoft Excel will see improved query performance. MDX query performanceįirst introduced in Power BI and now in SSAS 2022, MDX Fusion includes Formula Engine (FE) optimization reducing the number of Storage Engine (SE) queries per MDX query. To learn more, see Using DirectQuery for datasets and Analysis Services | Power BI Documentation. Data modelers and report authors using the May 2022 and later versions of Power BI Desktop can now combine other imported and DirectQuery data from Power BI datasets, Azure Analysis Services, and now SSAS 2022. This version introduces support for Power BI datasets with DirectQuery connections to SQL Server 2022 Analysis Services models. Support for Power BI DirectQuery datasets To ensure query processing does not overburden your data source, use the MaxParallelism property setting to specify a fixed number of threads that can be used for parallel operations. By executing operations in parallel, the Analysis Services engine can improve query performance by taking advantage of scalability large data sources may be able to provide. The engine can then execute those operations against the data source in parallel. This improvement enables the Analysis Services engine to analyze DAX queries against a DirectQuery data source and identify independent storage engine operations. DAX queries run faster with Horizontal Fusion, especially in DirectQuery mode. Fewer data source queries mean fewer round trips and fewer expensive scans over large data sources, which results in sizeable DAX performance gains and reduced processing demand at the data source. Multiple smaller data source queries are fused together into a larger data source query. This version introduces Horizontal Fusion, a query execution plan optimization aimed at reducing the number of data source queries required to generate and return results. Generally Available (GA) Horizontal fusion This enhancement may require you to upgrade tabular and multidimensional model databases to ensure proper encryption. This update includes enhancement to the schema write operation encryption algorithm. SQL Server 2022 Analysis Services Cumulative Update 1 (CU1) Encryption upgrade
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