Agreed. One can also initialise such an environment as a package option in
.onLoad which may be better or worse depending in part on how much
restriction you want to place on the environment
On Sat, 27 Nov 2021 at 12:41 am, Lionel Henry <lio...@rstudio.com> wrote:
> Hello,
>
> The trick is to store cached objects in an environment. In our team
> some of us have started calling this environment "the" to reflect that
> the elements in that environment are global singletons.
>
> Create the environment somewhere in your package:
>
> ```
> the <- new.env(parent = emptyenv())
> ```
>
> Then you can initialise and/or retrieve like this:
>
> ```
> my_data <- function() {
> if (is.null(the$data)) {
> the$data <- generate_data()
> }
> the$data
> }
> ```
>
> This is much better than initialising on load. Downloading on load
> would slow down loading your package and any packages that depend on
> it. Also the download might fail, causing the loading of your package
> to fail in turn.
>
> Best,
> Lionel
>
> On 11/26/21, X FiM <xfim...@gmail.com> wrote:
> > Dear all,
> >
> > I am writing a package that needs to load some data from a URL and have
> > such data (meta data) available when using other functions in the
> package,
> > and I would like some advice on how to properly manage such situation.
> >
> >
> > My first guess would be to create a function to downloads that meta data,
> > and make this function run when loading the package. I am even familiar
> > with this, and I could manage.
> >
> > But the second part, making this sort of data frame available for other
> > functions in the package, how can I achieve it? Of course I can call the
> > function that downloads and prepares the data at every use of the other
> > functions, but that would mean connecting to the Internet again and
> again.
> > So, in other words, is there a way to "cache" into memory a data frame
> > (without having to create an object)?
> >
> > How could I achieve such thing? What are the kind of keywords that I need
> > to use when looking for help?
> >
> > Thank you very much,
> >
> > --
> > Xavier
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-package-devel@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-package-devel
> >
>
> ______________________________________________
> R-package-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-package-devel
>
[[alternative HTML version deleted]]
______________________________________________
R-package-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-package-devel
