Hyukjin Kwon created SPARK-19544:
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Summary: Improve error message when some column types are
compatible and others are not in set/union operations
Key: SPARK-19544
URL: https://issues.apache.org/jira/browse/SPARK-19544
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.2.0
Reporter: Hyukjin Kwon
Priority: Minor
Currently,
{code}
Seq((1,("a", 1))).toDF union Seq((1L,("a", "b"))).toDF
org.apache.spark.sql.AnalysisException: Union can only be performed on tables
with the compatible column types. LongType <> IntegerType at the first column
of the second table;;
{code}
It prints that it fails due to {{ LongType <> IntegerType}} whereas actually it
is {{StructType(...) <> StructType(...)}}
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