Hello Zongheng
Infact the problem is in lapplyPartition
lapply gives output as
1,1
2,2
3,3
...
10,10
However lapplyPartition gives output as
55, NA
55, NA
Why lapply output is horizontal and lapplyPartition is vertical ?
Here is my code
library(SparkR)
sc <- sparkR.init("local")
lines <- textFile(sc,"/sparkdev/datafiles/covariance.txt")
totals <- lapplyPartition(lines, function(lines)
{
sumx <- 0
sumy <- 0
totaln <- 0
for (i in 1:length(lines)){
dataxy <- unlist(strsplit(lines[i], ","))
sumx <- sumx + as.numeric(dataxy[1])
sumy <- sumy + as.numeric(dataxy[2])
}
##list(as.numeric(sumx), as.numeric(sumy), as.numeric(sumxy),
as.numeric(totaln))
##list does same as below
c(sumx,sumy)
}
)
output <- collect(totals)
for (element in output) {
cat(as.character(element[1]),as.character(element[2]), "\n")
}
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/SparkR-lapplyPartition-transforms-the-data-in-vertical-format-tp11540p11726.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org
