I have uploaded a csv file which have well formatted data and I was trying to use
display(questions) where questions=spark.read.option("header","true").csv("/FileStore/tables/Questions.csv")
This is throwing an error as follows:
SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException at org.apache.spark.sql.execution.datasources.csv.UnivocityParser.org$apache$spark$sql$execution$datasources$csv$UnivocityParser$$convert(UnivocityParser.scala:196) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser.parse(UnivocityParser.scala:193) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$5.apply(UnivocityParser.scala:320) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$5.apply(UnivocityParser.scala:320) at org.apache.spark.sql.execution.datasources.FailureSafeParser.parse(FailureSafeParser.scala:62) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$parseIterator$2.apply(UnivocityParser.scala:327) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$parseIterator$2.apply(UnivocityParser.scala:327) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:161) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:423) at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:49) at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:126) at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:125) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:110) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:349) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
