When I try to convert my local dataframe in R to Spark DataFrame using:
raw.data <- as.DataFrame(sc,raw.data)
I get this error:
17/01/24 08:02:04 WARN RBackendHandler: cannot find matching method class org.apache.spark.sql.api.r.SQLUtils.getJavaSparkContext. Candidates are: 17/01/24 08:02:04 WARN RBackendHandler: getJavaSparkContext(class org.apache.spark.sql.SQLContext) 17/01/24 08:02:04 ERROR RBackendHandler: getJavaSparkContext on org.apache.spark.sql.api.r.SQLUtils failed Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
The question is similar to sparkR on AWS: Unable to load native-hadoop library and
Don't need to use sc if you are using the latest version of Spark. I am using SparkR package having version 2.0.0 in RStudio. Please go through following code (that is used to connect R session with SparkR session):
if (nchar(Sys.getenv("SPARK_HOME")) < 1) {
Sys.setenv(SPARK_HOME = "path-to-spark home/spark-2.0.0-bin-hadoop2.7")
}
library(SparkR)
library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R","lib")))
sparkR.session(enableHiveSupport = FALSE,master = "spark://master url:7077", sparkConfig = list(spark.driver.memory = "2g"))
Following is the output of R console:
> data<-as.data.frame(iris)
> class(data)
[1] "data.frame"
> data.df<-as.DataFrame(data)
> class(data.df)
[1] "SparkDataFrame"
attr(,"package")
[1] "SparkR"