To support those customers, we have Office 2019, a valuable new release of Office with a subset of features. However, going to the cloud is a journey, and our customers may be in different stages of that journey. Office for everyone For many customers, Office 365 is the way to go. Office 2019 for Mac Office 2019 delivers features across apps to help users create amazing content in less time.
Powerpivot Office 2016 License Office 2021The Power Query product has been in development for many years, it has a considerably large codebase, and is being used by millions of existing customers.Microsoft Office 2021 Home and Student License Office 2021 Office 2021 delivers features across apps to help users create amazing content in less time. Power Query was developed for windows and is written in C# targeting. Features in Power Query are available in Excel and Power BI Desktop. Head count for hr mis dashboard using power pivot in ms excel 2016.Power Query is a data connection technology that enables you to discover, connect, combine, and refine data sources to meet your analysis needs.However, as part of Excel 2016 it was natively integrated into Excel. Originally Power Query was distributed as an Excel 2013 Add-In. You can only presently get Excel 2016 if you’re an Office 365 subscriber.). Excel 2016 for Mac review: Spreadsheet app can do the jobas long as you don’t rely on macros. To support those customers, we. However, going to the cloud is a journey, and our customers may be in different stages of that journey.The Data Access layer uses COM based OLEDB as the means to move data between Power Query and Excel. The UI framework is based on WinForms, Internet Explorer, and COM interop. The Power Query codebase is written in C# and targets. NET Core 2.1 was released it became a perfect opportunity for us to add Mac support for Power Query.In this article I will share with you our journey from a Windows only to a cross platform product:The following depicts the different areas of work in this project and their relationships:Making this cross platform came with a set of challenges:Refresh only: Use Windows to author Excel workbooks with Power Query queries inside them, and then allow our Mac users to refresh these workbooks using Excel for Mac. Thus, we made a project management decision to split the project into two major sub projects: NET Core.It is quite obvious this turned out to be quite an undertaking and would require multiple man years to get done. For RPC it depends on Remoting, and some WCF features which are not natively supported by. The build and testing infrastructure were developed to run on Windows machines. Many of these connectors use native Windows libraries (for example Microsoft Access connector) and may be extremely hard to make cross platform. 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. Authoring: Port the authoring UI to Mac.This blog will focus on the refresh scenario leaving the authoring (UI) parts for future posts. 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. Our long term goal is to have a single cross platform codebase, running on the same. Keep the work cross platform. Card programs for macSome low-level marshalling types are not supported in. 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. A small subset is shown here:Based on this, we had to create a plan to refactor the codebase. We had to manually identify all the native libraries being used in the product.Based on all this, we needed to come up with a plan to fix all the non-portable APIs being used. But the native libraries imported are not cross platform. NET Core (ComImport in Windows only). DllImport and ComImport are supported by. For example marshalling arrays as SafeArrays. Partial ClassesMany of our classes use platform specific code. We wanted to achieve this in a clean and maintainable way, with minimal risk to our existing customers.We used two types of techniques throughout the project to achieve these requirements: Partial Classes and Safe Re-implementation. NET Core implementation to target both Windows and Mac. In addition, we wanted our. NET Framework 3.5 version side by side with the new code. 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. One example would be the use of System.Web.Script.Serialization for. 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. 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. Safe Re-implementationAnother approach we took where we could, was to re-implement things completely using APIs available both for. It can make the code quite messy. This allows us to gradually release and test the new implementation with our existing Windows customers. 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. 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. In addition, the end to end tests rely on the product UI which did not exist in the initial feature. All projects have been converted to. 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. This is really important and not something which was obvious to our team from the start. NET API Portability analyzer does not tell you, is which APIs you are using that are not supported in platforms other than Windows. Microsoft.DotNet.Analyzers.CompatibilityOne thing the. This is important so you catch runtime issues sooner rather than later. ![]() ![]() ![]()
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