10/24/2021 0 Comments Microsoft Query Excel For Mac
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![]() Microsoft Query Excel Free Templates ForKeep the work cross platform. NET Framework 3.5 build side by side to the. This basically means we need to maintain the existing. Whatever we do, do not break our existing Windows users :). We set for ourselves two major requirements: Power Query RefreshThe refresh project requires minimal user interface and would lay the groundwork needed for the rest of the project. Running this on the existing Power Query codebase, produced a long list of APIs being used which are not supported in. NET Core needs to start with running the API portability analyzer. NET on all platforms, with minimal platform specific code.Any effort to port to. Some APIs are missing the underlying implementations for non-Windows platforms. The tool will not identify the following unsupported usage of APIs: NET Core alternatives, third party alternatives (like Newtonsoft.Json), or where we needed to implement our own replacements.One thing to note is that this tool is by no means bulletproof. We needed to identify where we might find. NET Core (ComImport in Windows only). DllImport and ComImport are supported by. For example marshalling arrays as SafeArrays. NET Core and/or in Mac specifically. ![]() This was not always possible though.In some cases, we also needed to use different APIs for. We also tried to move a lot of such code into a PAL assembly and hide these details from the rest of the application. Our hope was to minimize these cases. In such cases we needed to write our own alternatives for Mac. Partial ClassesMany of our classes use platform specific code. It can make the code quite messy. Special care needs to be made not to eagerly use this pattern. NET Core.Eventually, we use partial classes following this pattern in most cases:Following the pattern above, allows us to share code inside Foo.cs while still making platform or framework specific adjustments inside the separate partial classes. NET Framework 3.5 while using System.Text.Json for. We then implemented both the old and new implementations and choose at runtime, based on a feature switch, which to use. We abstracted the public API of the component with an interface. We replaced that with a p/invoke based implementation and C++ wrappers in the native code to hide the fact that we are not using COM.In cases where we replaced the implementation completely, we needed to make sure we do this safely, without breaking our existing customers. Same was done to replace our OLEDB provider which was COM based. This was using SafeArrays and other Marshalling types not supported by. One example was our native interop layer between Power Query and Excel. It’s very hard to estimate how long it will take. This makes these types of projects inherently waterfall like, by nature. You cannot compile, run, and test your code until you finish doing all the porting. A great additional value here is that it allowed us to test our ideas way before we released to Mac using our Windows audience.When porting a large legacy codebase, you need to understand that there is a lot of risk being taken. This is really good, but the downside is that we could only run it once the entire porting effort is done – i.e. Our project has a very extensive end to end test suite. However, in this project I learned how important it is to have good unit test coverage. This can make it sometimes harder to parallelize the work.We all agree that having good test coverage is really important. Microsoft.DotNet.Analyzers.CompatibilityOne thing the. This is important so you catch runtime issues sooner rather than later. Having an extensive suite of unit and integration tests in this case is essential to reduce project risk.If possible, you should convert each project, together with its corresponding unit test project and make sure these tests are passing. In addition, the end to end tests rely on the product UI which did not exist in the initial feature. We only found out about this once we completed the entire porting of the code and started to test on Mac.Turns out there is another tool that can be used – Microsoft.DotNet.Analyzers.Compatibility. Turns out that some of the APIs are only implemented for Windows and while they compile, when you try running your app on Mac or Linux, they will throw a runtime PlatformNotSupported Exception. This is really important and not something which was obvious to our team from the start. So, you need to get to a stage where your project is compiling (i.e. It runs as part of your compile phase. Once integrated into our build system, this helped us identify many cases that would have thrown exceptions at runtime.Although this analyzer is super important, it does have some caveats. It will flag APIs used that do not support the platform you are targeting. For instance, it cannot handle polymorphism well. Second, it is not bullet proof. This is still quite late in the game and would have definitely been more beneficial to have this information during the planning phase of the project. Joint operations typhoon risingCross platform IPCThe Power Query application relies heavily on Inter Process Communication (IPC) objects to synchronize between multiple engine containers that perform the data crunching and the Excel host. The compatibility analyzer cannot know this in advance. For example, if you are calling WaitHandle.WaitAny (or WaitAll) and pass an instance of a Named Mutex, it will throw an exception in runtime.
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