[jira] [Created] (SPARK-7737) parquet schema discovery should not fail because of empty _temporary dir

["Yin Huai (JIRA)" <ji...@apache.org>]

Yin Huai created SPARK-7737:
-------------------------------

             Summary: parquet schema discovery should not fail because of empty _temporary dir 
                 Key: SPARK-7737
                 URL: https://issues.apache.org/jira/browse/SPARK-7737
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.4.0
            Reporter: Yin Huai
            Assignee: Yin Huai
            Priority: Blocker


Parquet schema discovery will fail when the dir is like 
{code}
/partitions5k/i=2/_SUCCESS
/partitions5k/i=2/_temporary/
/partitions5k/i=2/part-r-00001.gz.parquet
/partitions5k/i=2/part-r-00002.gz.parquet
/partitions5k/i=2/part-r-00003.gz.parquet
/partitions5k/i=2/part-r-00004.gz.parquet
{code}

{code}
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
	
	at scala.Predef$.assert(Predef.scala:179)
	at org.apache.spark.sql.sources.PartitioningUtils$.resolvePartitions(PartitioningUtils.scala:159)
	at org.apache.spark.sql.sources.PartitioningUtils$.parsePartitions(PartitioningUtils.scala:71)
	at org.apache.spark.sql.sources.HadoopFsRelation.org$apache$spark$sql$sources$HadoopFsRelation$$discoverPartitions(interfaces.scala:468)
	at org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$partitionSpec$3.apply(interfaces.scala:424)
	at org.apache.spark.sql.sources.HadoopFsRelation$$anonfun$partitionSpec$3.apply(interfaces.scala:423)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.sql.sources.HadoopFsRelation.partitionSpec(interfaces.scala:422)
	at org.apache.spark.sql.sources.HadoopFsRelation.schema$lzycompute(interfaces.scala:482)
	at org.apache.spark.sql.sources.HadoopFsRelation.schema(interfaces.scala:480)
	at org.apache.spark.sql.sources.LogicalRelation.<init>(LogicalRelation.scala:30)
	at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:134)
	at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:118)
	at org.apache.spark.sql.SQLContext.load(SQLContext.scala:1135)
{code}

1.3 works fine.



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