r - SparkR and Packages -


how 1 call packages spark utilized data operations r?

example trying access test.csv in hdfs below

sys.setenv(spark_home="/opt/spark14") library(sparkr) sc <- sparkr.init(master="local") sqlcontext <- sparkrsql.init(sc) flights <- read.df(sqlcontext,"hdfs://sandbox.hortonworks.com:8020     /user/root/test.csv","com.databricks.spark.csv", header="true")

but getting error below:

caused by: java.lang.runtimeexception: failed load class data  source: com.databricks.spark.csv

i tried loading csv package below option

sys.setenv('sparkr_submit_args'='--packages com.databricks:spark-csv_2.10:1.0.3')

but getting below error during loading sqlcontext

launching java spark-submit command /opt/spark14/bin/spark-submit   --packages com.databricks:spark-csv_2.10:1.0.3 /tmp/rtmpuvwoky  /backend_port95332e5267b  error: cannot load main class jar file:/tmp/rtmpuvwoky/backend_port95332e5267b

any highly appreciated.

so looks setting sparkr_submit_args overriding default value, sparkr-shell. same thing , append sparkr-shell end of sparkr_submit_args. seems unnecessarily complex compared depending on jars i've created jira track issue (and i'll try , fix if sparkr people agree me) https://issues.apache.org/jira/browse/spark-8506 .

note: option using sparkr command + --packages com.databricks:spark-csv_2.10:1.0.3 since should work.


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