The CALENDARAUTO does kind of the same thing except the dates included are based on the data in the model. The CALENDAR function returns a single column called Date containing a contiguous set of dates based on start and end date parameters that you specify. This may be silly but probably the new DAX function I’m most excited about is the CALENDAR and CALENDARAUTO functions. There are a ton of new DAX functions coming with the enhancements of SSAS. This has been a need for a while so it will be nice to have another tool in our belt to assist in diagnosing corruption issues. With the new DBCC XMLA command we can check for database corruption in our Tabular and Multidimensional databases. DBCC XMLA Command (Tabular & Multidimensional) But gone are those days! Now partitions are processed in parallel giving us a great increase in processing performance. Partitioning a table in a Tabular model gave us no increased performance aside from the ability to only process the partitions with changed data. Holy smokes it’s about time! Previously to SSAS 2016 table partitions in SSAS tabular were only processed serially. Parallel Partition Processing (Tabular only) You can read about the enhancements here. This release does not include all the enhancements to SSAS 2016 and these enhancements are subject to change. I’ll say that these features are included in the SSAS 2016 CTP2 release. I’m pretty excited about these changes and while these changes have been public for a while now, I’d like to share my thoughts. Lame that tabular Excel support is essentially abondonded.There’s a load of new features that are included in the release of SQL Server Analysis Services 2016 CTP2. Every release (since 2014) I make an effort to move to tabular models but there always seem to be show stoppers that are not being addressed. This is going to a hard sell for my users. I found a few articles regarding "MDX Fusion" which offers optimizations if running Azure Analysis Services but it doesn't appear there are any plans to do so for on prem software. I am baffeled at how Microsoft does not offer similar optimizations for Excel users - who I believe are still the majority of Power Users/Analysts that keep the gears of the organization turning. The dimension has roughly 100K members which I do not consider that large. Running queries in Power BI are almost instantaneous compared to around one minute to pull Sales by Zip returning around 20K members. But there are also still some types of models that still work better in multi-dim than in tabular. Have you compare the performance of an equivalent DAX query? It is possible that you have a general performance issue with one or more of your measures which is unrelated to the query language being used. Or if you are not interested in pretty charts and just want to view tables of data the Query Builder in DAX Studio can do this.īut the performance is severly lacking compared to the multidimensional counterpart Power BI Desktop is the main tool available at the moment which will generate DAX queries. My question is what options are there for "end user" (no code) tools to efficiently query tabular models with DAX? An MDX query may run slightly slower than an equivalent DAX query as MDX has slightly different query semantics, but regardless of the query language used all queries against tabular models are resolved against the in memory storage. This is incorrect, queries against tabular models NEVER run against on-disk storage. This appears to be running against disk rather than in-memory since it is running MDX instead of DAX? I am really hoping for a plug in or some other way for Excel to generate DAX queries instead of MDX. Power BI will come eventually but I have a large portion of users that prefer to live only in Excel. My question is what options are there for "end user" (no code) tools to efficiently query tabular models with DAX? My user base is all on Excel and I would like to build tabular models for them but the performance is severly lacking compared to the multidimensional counterpart. I know that Power BI generates DAX queries regardless of SSAS mode so I gues this isn't suprising. This appears to be running against disk rather than in-memory since it is running MDX instead of DAX? I tried the same thing from browsing the model in SSMS and it generates MDX as well. It returns the correct answers and behaves as expected but I am surprised that it is sending MDX queries to the server. The SSAS server is 2019 and Excel is 2016. I have a relatively small 57MB tabular model that I would like to query with Excel Pivot table connections.
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