I think it is ready to go, although it probably needs a round or two of
testing to make sure everything works. Right now, can build either of two
ways, the non-template based version you did (although this version is
probably out of date with respect to the samples) and the template-based
build I was working on. As far as I know, the template version is
complete. To build, first build via nmake, then issue "nmake
nsis_template_installer" to build it. The file will be found in the nsis
subdirectory of the build. There is no need to issue cmake with a
-DBUILD_NSIS=1 option any more, everything happens automatically if you are
build in on Windows. I think I would prefer to use the template version
now that the issues have been shaken out.
One thing we might consider adding are some conditional install statements
to also include the .pdb files for debug configurations. This should be a
fairly trivial addition (in fact, I might add it this afternoon).
Rick
On Thu, Jun 12, 2014 at 3:37 PM, Mark Miesfeld <miesf...@gmail.com> wrote:
> I've gotten confused on the status of packaging on Windows.
>
> To create the NSIS package are we using CPack, going to use CPack but it
> isn't ready yet, or ... ?
>
> Thanks.
>
> --
> Mark Miesfeld
>
>
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
> Oorexx-devel mailing list
> Oorexx-devel@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/oorexx-devel
>
>
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
_______________________________________________
Oorexx-devel mailing list
Oorexx-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/oorexx-devel
