mathieu despriee created SPARK-11128:
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             Summary: strange NPE when writing in non-existing S3 bucket
                 Key: SPARK-11128
                 URL: https://issues.apache.org/jira/browse/SPARK-11128
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.5.1
            Reporter: mathieu despriee
            Priority: Minor


For the record, as it's relatively minor, and related to s3n (not tested with 
s3a).

By mistake, we tried writing a parquet dataframe to a non-existing s3 bucket, 
with a simple df.write.parquet(s3path).
We got a NPE (see stack trace below), which is very misleading.


java.lang.NullPointerException
        at 
org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:433)
        at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1398)
        at 
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:73)
        at 
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
        at 
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
        at 
org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
        at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
        at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
        at 
org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
        at 
org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
        at 
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
        at 
org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:304)



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