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Hasselbring 3Ĥ Web Information Systems Cache Architecture Source: Approaches to Scalability on the database layer: Big enterprise server Database replication Database sharding However, you have to scale everything to scale anything! W.

Hasselbring 2ģ Integrated Information Systems? Why not employing an integrated information system? Example: ARIS Architecture of Integrated Information Systems Source: W.

IOBSERVE INTERNET EQUIVALENT SOFTWARE

Microservice Architectures for Scalability Performance and Elasticity Software Development Scalability 4. Information Systems Integration Including its Anti-Patterns to Scalability 3. Integrated Information Systems Including its Limits to Scalability 2. Wilhelm (Willi) Hasselbring Software Engineering Group, Kiel University, Germany Competence Cluster Software Systems Engineering W. If you do this and switch the measures around will the first real branch also take a performance hit? I’m just curious to know if this is the case.1 Microservices for Scalability Keynote at ICPE 2016, Delft, NL Prof.

“Amount”, CALCULATE (, MeasureName = “Total Margin” ) & CurrentMeasure “Total Discount Amount”ĬurrentMeasure = “Total Discount Amount”, In your case you could deMorgan the if conditions so the first branch will always return blank like this: It’s some time ago so I don’t remember the exact details. In my case the scenario was way simpler than your example it was just a single IF(, ) so I ended up with this IF(, BLANK(), ). As far as I remember I fixed the lackluster performance by making sure that the first IF branch was always BLANK(). I have seen something similar sometime ago. The whole blog wouldn’t be possible without those great test tools: Here is the whole test for the curious of you who would like to see it with your own eyes. As you can see in the last test not using IF or SWITCH is of course the best option.Order of the options can generate different execution plan, especially with nontrivial calculations in branches.

This behavior is more obvious when having some not trivial calculations in each branch.

This behavior is more obvious when using more dimensions in your query (like cross join).

Therefore, I would strongly recommend testing your case. Last place in SWITCH was less performant.

On the other hand, we have PROD solution where I observe the exact opposite behavior.

We have seen counterintuitive behavior – better performance when being in last place of SWITCH.

I would like to summarize my observations not only from this test: Obviously the order of the options in switch command matters. I’ve created a modified (slower) “Ugly” version of the measures for my test, to make the performance impact more significant. To implement it, you might use Parameter Table Pattern. Let’s imagine you do not like having Independent measures as implemented in AW demo, but you would like to have something like measure dimension.

IOBSERVE INTERNET EQUIVALENT DOWNLOAD

I reproduce the whole solution again in PowerBI Desktop, so you can download it and test it yourself. I have taken Adventure Works DWH (AW) demo solution and modified it slightly for my purpose. Let’s try to make some simple demo to document this behavior. During one performance tuning session I noticed that there is different performance of the same measure when I change the order of branches in SWITCH statement. Unfortunately, I cannot propose any workaround and I can see the behavior as kind of inconsistent. Recently I noticed that there is a behavior I’ve never seen documented or described. I’ve written a couple of article about IF & SWITCH in DAX over the past few years.