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From Joseph <wxy81...@sina.com>
Subject sparkR.init() can not load sparkPackages.
Date Fri, 17 Jun 2016 02:46:36 GMT
Hi all,

I find an issue in sparkR, maybe it's a bug:

When I read csv file, it's normal to use the following way:
${SPARK_HOME}/bin/spark-submit  --packages com.databricks:spark-csv_2.11:1.4.0   example.R


But using the following way will give an error:
sc <- sparkR.init(sparkPackages="com.databricks:spark-csv_2.11:1.4.0")

16/06/17 09:54:12 ERROR RBackendHandler: loadDF on org.apache.spark.sql.api.r.SQLUtils failed
Error in invokeJava(isStatic = TRUE, className, methodName, ...) : 
  java.lang.ClassNotFoundException: Failed to find data source: csv. Please find packages
at http://spark-packages.org
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:77)

It is obvious that the sparkR.init() does not load the specified package!
-----------------------------------------------------------------------------------------------------------------------------------------

Appendix:
The complete code for example.R:

if (nchar(Sys.getenv("SPARK_HOME")) < 1) {
  Sys.setenv(SPARK_HOME = "/home/hadoop/spark-1.6.1-bin-hadoop2.6")
}

library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib")))

sc <- sparkR.init(master = "local[2]", sparkEnvir = list(spark.driver.memory="1g"), sparkPackages="com.databricks:spark-csv_2.11:1.4.0")

sqlContext <- sparkRSQL.init(sc)
people <- read.df(sqlContext, "file:/home/hadoop/spark-1.6.1-bin-hadoop2.6/data/mllib/sample_tree_data.csv",
"csv")
registerTempTable(people, "people")
teenagers <- sql(sqlContext, "SELECT * FROM people")
head(teenagers)



Joseph
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