chintan created SPARK-12551: ------------------------------- Summary: Not able to load CSV package Key: SPARK-12551 URL: https://issues.apache.org/jira/browse/SPARK-12551 Project: Spark Issue Type: Bug Components: R, SparkR Affects Versions: 1.5.2 Environment: Rstudio under Windows Reporter: chintan
When ever i am trying load CSV package spark dont work, it gives Invoke java error Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.2.0" "sparkr-shell"') > Sys.setenv(SPARK_MEM="1g") > sc <- sparkR.init(master = "local") Launching java with spark-submit command C:/spark/bin/spark-submit.cmd "--packages" "com.databricks:spark-csv_2.10:1.2.0" "sparkr-shell" C:\Users\shahch07\AppData\Local\Temp\RtmpigvXMn\backend_port98840b15c5a > sqlContext <- sparkRSQL.init(sc) > DF <- createDataFrame(sqlContext, faithful) Error in invokeJava(isStatic = FALSE, objId$id, methodName, ...) : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException at java.lang.ProcessBuilder.start(ProcessBuilder.java:1012) at org.apache.hadoop.util.Shell.runCommand(Shell.java:482) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:873) at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:853) at org.apache.spark.util.Utils$.fetchFile(Utils.scala:381) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:405) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:397) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLi -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org