Downloading spark-csv in Windows - windows

Question

I am a beginner in the Spark world, and want to do my Machine Learning algorithms using SparkR.
I installed Spark in standalone mode in my laptop (Win 7 64-bit) and I am available to run Spark (1.6.1), Pyspark and begin SparkR in Windows following this effective guide: link . Once I started SparkR I began with the famous Flights example:
#Set proxy
Sys.setenv(http_proxy="http://user:password#proxy.companyname.es:8080/")
#Set SPARK_HOME
Sys.setenv(SPARK_HOME="C:/Users/amartinezsistac/spark-1.6.1-bin-hadoop2.4")
#Load SparkR and its library
.libPaths(c(file.path(Sys.getenv("SPARK_HOME"),"R", "lib"), .libPaths()))
library(SparkR)
#Set Spark Context and SQL Context
sc = sparkR.init(master="local")
sqlContext <- sparkRSQL.init(sc)
#Read Data
link <- "s3n://mortar-example-data/airline-data"
flights <- read.df(sqlContext, link, source = "com.databricks.spark.csv", header= "true")
Nevertheless, I receive the next error message after the last line:
Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
java.lang.ClassNotFoundException: Failed to find data source: com.databricks.spark.csv. Please find packages at http://spark-packages.org
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:77)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:102)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
at org.apache.spark.sql.api.r.SQLUtils$.loadDF(SQLUtils.scala:160)
at org.apache.spark.sql.api.r.SQLUtils.loadDF(SQLUtils.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:141)
at org.apache.spark.api.r.RBackendHandler.ch
It seems like the reason is that I do not have installed the read-csv package, which can be downloaded from this page (Github link). As well as in Stack, in spark-packages.org website, (link) the advice is to do: $SPARK_HOME/bin/spark-shell --packages com.databricks:spark-csv_2.11:1.4.0 which is for a Linux installation.
My question is: How could I run this code line from Windows 7 cmd in order to download this package?
I also tried an alternate solution for my error message (Github) without success:
#In master you don't need spark-csv.
#CSV data source is built into SparkSQL. Just use it as follows:
flights <- read.df(sqlContext, "out/data.txt", source = "com.databricks.spark.csv", delimiter="\t", header="true", inferSchema="true")
Thanks in advance to everyone.

Answer 1

It is the same for Windows. When you start spark-shell from the bin directory, start it this way:
spark-shell --packages com.databricks:spark-csv_2.11:1.4.0