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https://issues.apache.org/jira/browse/SPARK-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-12369:
-------------------------------
    Summary: DataFrameReader fails on globbing parquet paths that contain 
nonexistent path(s)  (was: DataFrameReader fails on globbing parquet paths)

> DataFrameReader fails on globbing parquet paths that contain nonexistent 
> path(s)
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-12369
>                 URL: https://issues.apache.org/jira/browse/SPARK-12369
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.2
>            Reporter: Yana Kadiyska
>
> Start with a list of parquet paths where some or all do not exist:
> {noformat}
> val paths=List("/foo/month=05/*.parquet","/foo/month=06/*.parquet")
>  sqlContext.read.parquet(paths:_*)
> java.lang.NullPointerException
>         at org.apache.hadoop.fs.Globber.glob(Globber.java:218)
>         at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1625)
>         at 
> org.apache.spark.deploy.SparkHadoopUtil.globPath(SparkHadoopUtil.scala:251)
>         at 
> org.apache.spark.deploy.SparkHadoopUtil.globPathIfNecessary(SparkHadoopUtil.scala:258)
>         at 
> org.apache.spark.sql.DataFrameReader$$anonfun$3.apply(DataFrameReader.scala:264)
>         at 
> org.apache.spark.sql.DataFrameReader$$anonfun$3.apply(DataFrameReader.scala:260)
>         at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>         at 
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>         at scala.collection.immutable.List.foreach(List.scala:318)
>         at 
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
>         at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
>         at 
> org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:260)
> {noformat}
> It would be better to produce a dataframe from the paths that do exist and 
> log a warning that a path was missing. Not sure for "all paths are missing 
> case" -- probably return an emptyDF with no schema since that method already 
> does so on empty path list.But I would prefer not to have to pre-validate 
> paths



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