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Author's profile photo Kurt Holst

How to see which R packages are installed on an R server using SAP HANA Studio.


In an environment where you are using SAP Predictive Analysis together with SAP HANA integrated with an R Server you might not always have OS access to the R server and can therefore not see which R packages are installed. This impact the use of SAP Predictive Analysis when using SAP HANA Online or “Connect to SAP HANA” connectivity and the built-in R algorithms or custom R algorithms.

If you build a SAP Predictive Analysis Custom R component using SAP HANA Offline or other local files and the required package (algorithm) is installed on the your local R laptop it will normally work. However to get it working using SAP HANA Online the algorithms also needs to be installed on the R server integrated with SAP HANA. In a hosted environment you might not be able to get direct access to the R server to check which algorithms are installed.

Below is a step-by-step description on how to see which packages are installed on the R server integrated with SAP HANA using SAP HANA Studio.

From SAP HANA Studio select the “SQL” to open a SQL console for the SAP HANA system which is connected to the R server.

HANA Studio.png

Type the following script. Replace “DATA” with your own schema.

R Script.png

Execute the script (mark the script and click F8).

The results from running the script. The below result might differ from your depending on the installed packages on your R Server.


If you would like to get more information on the packages installed on the R server these are the additional parameters.

“Package”               “LibPath”               “Version”               “Priority”            

“Depends”               “Imports”               “LinkingTo”             “Suggests”            

“Enhances”              “License”               “License_is_FOSS”       “License_restricts_use”

“OS_type”               “MD5sum”                “NeedsCompilation”      “Built” 

Best regards,

Kurt Holst

Here is the script if you wish to copy and paste:


DROP TABLE “InstalledPackages”;
CREATE COLUMN TABLE “InstalledPackages”
“Package” VARCHAR(100), “LibPath” VARCHAR(100), “Version” VARCHAR(100), “Depends” VARCHAR(100)
) ;

CREATE PROCEDURE RSCRIPT(OUT result “InstalledPackages”)

result <- data.frame(installed.packages())
result1 <- (as.character(result$Package))
result2 <- (as.character(result$LibPath))
result3 <- (as.character(result$Version))
result4 <- (as.character(result$Depends))
result <- data.frame(Package=result1,LibPath=result2, Version=result3, Depends=result4)

SELECT * FROM “InstalledPackages”;

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      Author's profile photo Henk Binnendijk
      Henk Binnendijk

      Thanks, this is handy!