Should there only be support for the latest version of DataFlex?

[NilsSve]

Should there only be support for the latest DataFlex version when it comes to compiling?

Right now, DataFlex 19.0 and up are supported.
But as this is a developer tool, who doesn't have access to the latest DF?

[NilsSve]

I'm leaning towards only supporting the latest DF version...

[2WA]

Make sense. Because the DFRefactor will assist the DataFlex Developers in migrating safely to the last version 23.0.
The developer is encouraged to migrate to use the new features like Unicode, FlexTron, new generation of connectivities, etc.

[sampizarro]

I agree in dropping oldest releases support.

If you want to "keep" it somehow, you can create a branch and tag it with the corresponding DF release being dropped, and keep it that way.. never merge them again.. Not an git expert, maybe some better options may exist..

[NilsSve]

I stink at Git, so if anybody knows how to do this and is willing to help, it would be a good thing to do something like this.

[mwpmullan]

There are reasons to upgrade only as far as 19.0, because unicode breaks other stuff, BUT we should encourage ourselves to just bite the damn bullet and move to the current version.

/MM

[sampizarro]

no.. the new branch will not be "touched" anymore.. it's going to reflect the current state.. so it will represent DFRefactor releases that still support 19.x and x86 (32 bit) versions.

the main branch will be the one that is going to be changed to only support x64 and DF 23.0

So, maybe "DFRefactor for DF 19.x (32bits/OEM)"

[NilsSve]

Oops, sorry. I misunderstood. Maybe without the /OEM bit so: "DFRefactor for DF 19 (32bit)"
If someone with more Git knowledge than me would like to do this, that would be great! (or instruct me how to do it)

[sampizarro]

I can do it.. and will also remove the older un-used branches..

[NilsSve]

Great Samuel, Please go ahead and do it!

[sampizarro]

Done @NilsSve . new branch and tag/release created. old branches deleted!

https://github.com/NilsSve/DfRefactor/releases

[NilsSve]

The voting is now closed.

The decision was to only support DataFlex 2023. Each new release will follow the latest DataFlex version.