I tried both the codes, but pdf file is not getting created in Azure Blob storage and R is not throwing any error also. I have mounted blob in dbfs and using it. Delta, csv, text files are getting created and stored without any issue using the same mount path.
code -1
df = data.frame(matrix(rnorm(400), nrow=100))
dfplot = ggplot(df, aes(x=X1,X2))+geom_point()
pdf('/dbfs/mnt/blobstorage/test.pdf')
print(dfplot)
dev.off()
code-2
install.packages('quantmod')
library(quantmod)
gs <-function(f) {
csv <- read.csv(text="s,n\nF,Ford\nV,Visa", header=TRUE, stringsAsFactors=FALSE)
symVec <- getSymbols(as.vector(csv$s))
infoVec <- mapply(paste, csv$s, csv$n, sep=": ") # eg. "F: Ford"
pdf("/dbfs/mnt/blobstorage/test.pdf")
par(mfrow=c(5,7))
print(mapply (chart_Series, mget(symVec), name=infoVec))
dev.off()
}
main <- function() {
# get symbols, create pdf
gs(f)
}
if(!interactive()) {
main()
}
I have been able to do it with the following work around: 1) Write the pdf file to a temporary directory 2) copy the file to the DBFS dir.
dir_Temp <- tempdir()
print(dir_Temp)
setwd(dir_Temp)
X1 <- rnorm(100)
X2 <- rnorm(100)
pdf('test3.pdf')
plot(X1, X2)
dev.off()
file.copy(from = paste0(dir_Temp, "/", "test3.pdf"),
to = "/dbfs/FileStore/test_Databricks/test3.pdf")
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