topic Re: R Integration to SAS VIYA in SAS Viya

R Integration to SAS VIYA

Albert0 — Tue, 18 Feb 2020 03:20:05 GMT

Hi SAS Users,

I am new to SAS VIYA and heard about integration of JAVA, R, Python etc.. to SAS. I would like to ask about outputs of R program going directly to SAS CASLib. I wanted to know what are the requirements if I have run an R program in a different server but I wanted the output of the R program to be accessed directly in VIYA without exporting and importing it to the VIYA server?

Can anyone make a suggestion?

Thanks.

Albert0

Re: R Integration to SAS VIYA

AnandVyas — Tue, 18 Feb 2020 09:07:44 GMT

Hi @Albert0

I think you can try SWAT which is a client package that allows you to make connection to CAS server and perform CAS actions. You can find more details about it here.

https://github.com/sassoftware/R-swat

Re: R Integration to SAS VIYA

Albert0 — Tue, 18 Feb 2020 09:23:54 GMT

Hi @AnandVyas ,

Thank you for your prompt reply. I understand from reading the documentation that this will allow me to create an R program and run it in the VIYA Environment to produce result. What if I wanted to run my R program inside R Environment? Do I still need to install the client package in order for the R program to produce the output into VIYA Environment?

Thanks.

-Albert0

Re: R Integration to SAS VIYA

AnandVyas — Tue, 18 Feb 2020 09:36:22 GMT

I think in order to process output in CAS (In-memory engine for Viya) you will have to assign a caslib which should be locally available data-source or DBMS. If the R server is separate box with no access to Viya I don't think you can load it into CAS with exporting it as data has to be loaded in memory for the processing.

Re: R Integration to SAS VIYA

Albert0 — Tue, 18 Feb 2020 09:41:02 GMT

Hi @AnandVyas ,

Thank you for your fast reply.

I think I understand now.

Thanks.

Re: R Integration to SAS VIYA

joeFurbee — Tue, 18 Feb 2020 11:21:10 GMT

Hi @Albert0,

You can find more resources on SAS and R integration on developer.sas.com/guides/r.There you'll find links to various integration points, related blog posts, and sample code.