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Installing R packages in SQL Server R Services


Installing R packages in SQL Server R Services

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Tomaz Kastrun
Tomaz Kastrun
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Comments posted to this topic are about the item Installing R packages in SQL Server R Services

Tomaž Kaštrun | twitter: @tomaz_tsql | blog: https://tomaztsql.wordpress.com/
INCREDIBLEmouse
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I'm quite surprised the lack of the ability for the analyst/data scientist to install a package and that it not only be installed locally, but also doubly installed in the server path. This should not require a call to an administrator or IT department. Why is that not built into the new VS R IDE? Blink
Iwas Bornready
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This is a whole new area for me. Thanks for the lesson.
Tomaz Kastrun
Tomaz Kastrun
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Hi,

you can install package in RTVS (VS R IDE).

IMHO IDE should be prepared for e.g.: client machine with all packages pre-installed (compatible with version), so data wrangled, data analyst should not worry about this.


Best, Tomaž

Tomaž Kaštrun | twitter: @tomaz_tsql | blog: https://tomaztsql.wordpress.com/
Tomaz Kastrun
Tomaz Kastrun
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Iwas Bornready (9/29/2016)
This is a whole new area for me. Thanks for the lesson.


Great to hear. Hope you enjoyed it.

Best, Tomaž

Tomaž Kaštrun | twitter: @tomaz_tsql | blog: https://tomaztsql.wordpress.com/
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tomaz.kastrun (9/30/2016)
Hi,

you can install package in RTVS (VS R IDE).

IMHO IDE should be prepared for e.g.: client machine with all packages pre-installed (compatible with version), so data wrangled, data analyst should not worry about this.


Best, Tomaž


Agreed. That's not the question at hand, or an issue. Having the packages installed on the server as well as the local machine is the problem.

Thoughts?
Tomaz Kastrun
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INCREDIBLEmouse (9/30/2016)
tomaz.kastrun (9/30/2016)
Hi,

you can install package in RTVS (VS R IDE).

IMHO IDE should be prepared for e.g.: client machine with all packages pre-installed (compatible with version), so data wrangled, data analyst should not worry about this.


Best, Tomaž


Agreed. That's not the question at hand, or an issue. Having the packages installed on the server as well as the local machine is the problem.

Thoughts?


Having all the packages aligned with the server version, as well as the R engine would be the easiest way to handle packages on client/local/server/remote machine. In addition,
function RxComputeContext (https://msdn.microsoft.com/en-us/library/mt732690.aspx) gives you ability to push the computation to server/remote machine for better and faster performance. Given this, also job of code validation would be simplified.

In enterprise environment this task should be performed by a administrator.

Best, Tomaž

Tomaž Kaštrun | twitter: @tomaz_tsql | blog: https://tomaztsql.wordpress.com/
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:-D

Philosophically, I disagree and would approach it conversely, but I do now understand what you're saying, and the reasoning behind it. Seems like that method will eventually stifle progress. :-)
Tomaz Kastrun
Tomaz Kastrun
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:-) And what is your point of view on this topic, regardless of different point of views (or not).

best

Tomaž Kaštrun | twitter: @tomaz_tsql | blog: https://tomaztsql.wordpress.com/
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