Mathieu D created SPARK-16938:
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Summary: Cannot resolve column name after a join
Key: SPARK-16938
URL: https://issues.apache.org/jira/browse/SPARK-16938
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0
Reporter: Mathieu D
Priority: Minor
Found a change of behavior on spark-2.0.0, which breaks a query in our code
base.
The following works on previous spark versions, 1.6.1 up to 2.0.0-preview :
{code}
val dfa = Seq((1, 2), (2, 3)).toDF("id", "a").alias("dfa")
val dfb = Seq((1, 0), (1, 1)).toDF("id", "b").alias("dfb")
dfa.join(dfb, dfa("id") === dfb("id")).dropDuplicates(Array("dfa.id", "dfb.id"))
{code}
but fails with spark-2.0.0 with the exception :
{code}
Cannot resolve column name "dfa.id" among (id, a, id, b);
org.apache.spark.sql.AnalysisException: Cannot resolve column name "dfa.id"
among (id, a, id, b);
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1$$anonfun$36$$anonfun$apply$12.apply(Dataset.scala:1819)
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1$$anonfun$36$$anonfun$apply$12.apply(Dataset.scala:1819)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1$$anonfun$36.apply(Dataset.scala:1818)
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1$$anonfun$36.apply(Dataset.scala:1817)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1.apply(Dataset.scala:1817)
at
org.apache.spark.sql.Dataset$$anonfun$dropDuplicates$1.apply(Dataset.scala:1814)
at org.apache.spark.sql.Dataset.withTypedPlan(Dataset.scala:2594)
at org.apache.spark.sql.Dataset.dropDuplicates(Dataset.scala:1814)
at org.apache.spark.sql.Dataset.dropDuplicates(Dataset.scala:1840)
...
{code}
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