Save array into Managed Folder from R Notebook
nadine
Registered Posts: 1 ✭
Hi
I want to save a data object from an R notebook in a managed folder on DSS so it can be read by a Jupyter notebook.
I am using
# data must be a connection providing the data to upload
data = c(0,1.1,2.2,3.3) dkuManagedFolderUploadPath("folder_name", "path_in_folder", data)
To upload the data but I am getting the following error:
Error in readBin(arr, double(), 6, size = 4): can only read from a binary connection Traceback: 1. readBin(arr, double(), 6, size = 4)
How can I solve this readBin error?
Operating system used: Windows
Answers
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Hi @nadine
,dkuManagedFolderUploadPath expects a connection object, not a vector. You'll need to save your data object to a temporary file first:
# Save `data` to a managed folder library(dataiku) data = c(0,1.1,2.2,3.3) temp_filename <- tempfile("r-managed-folder-") save(data, file=temp_filename) temp_connection <- file(temp_filename, "rb") dkuManagedFolderUploadPath("folder_name", "path_in_folder", temp_connection)
You can then load the data object using the following code:
# Load `data` from a managed folder library(dataiku) raw_data <- dkuManagedFolderDownloadPath("folder_name", "path_in_folder", as="raw") temp_filename <- tempfile(pattern="r-managed-folder-") writeBin(raw_data, temp_filename) load(temp_filename) cat(data, sep="\n")
Thanks,
Zach