Hi,
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.
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Type the following script. Replace "DATA" with your own schema.
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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.
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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:
SET SCHEMA "DATA";
DROP TABLE "InstalledPackages";
CREATE COLUMN TABLE "InstalledPackages"
(
"Package" VARCHAR(100), "LibPath" VARCHAR(100), "Version" VARCHAR(100), "Depends" VARCHAR(100)
) ;
DROP PROCEDURE RSCRIPT;
CREATE PROCEDURE RSCRIPT(OUT result "InstalledPackages")
LANGUAGE RLANG AS
BEGIN
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)
END;
CALL RSCRIPT("InstalledPackages") WITH OVERVIEW;
SELECT * FROM "InstalledPackages";