I am trying to figure out how to use X4R package to load a local data cube into R. I can load the cube into Excel, but am failing to get this to work with R.
My cube filename is "\scrsvr\Users\\Documents\Projects\Raw data\data.cub".
I tried the following code:
library(X4R)
handle<-xmlaConnect(url="\\scrsvr\\Users\\<MyName>\\Documents\\Projects\\Raw data\\data.cub")
which produces no error. However, trying to use xmlaDiscover results in the following error:
first argument is not an open XMLA handle
Can anyone help me to connect to my local cube? I am totally new to this, so perhaps someone has a working example that I could follow (with example data cube file)?
Thanks!
Ok, just in case anyone else needs to do this in future, I managed to solve my problem
# use some necessary packages
require(RDCOMClient)
require(data.table)
library(plyr)
library(Hmisc)
#create connection to SSAS datacube
con <- COMCreate("ADODB.Connection")
con[["ConnectionString"]] <- paste(
"Provider=MSOLAP.5",
"Data Source=\\\\scrsvr\\Users\\<MyName>\\Documents\\Projects\\Raw data\\data.cub",
"Persist Security Info=True",
sep = ";")
con$Open()
# define the MDX query here:
query = "SELECT ..."
rs <- COMCreate("ADODB.RecordSet")
# submit the MDX query to the cube
rs$Open(query, con)
rs$MoveFirst() # move to the first row of the record set
nc <- rs$Fields()$Count() # define number of columns
# get the data into a data array:
dd <- vector("list", length=nc)
dd <- rs$GetRows() # get the raw data from the results
For the connection, I used the Provider ("MSOLAP.5") that was configured when I set up a data connection from MS Excel to the data cube. It all works and I can now query the database using MDX directly.