Yana Kadiyska created SPARK-12369:
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Summary: ataFrameReader fails on globbing parquet paths
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" --
could return an emptyDF with no schema or a nicer exception...But I would
prefer not to have to pre-validate paths
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