Michel Lemay created SPARK-20660:
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Summary: Not able to merge Dataframes with different column orders
Key: SPARK-20660
URL: https://issues.apache.org/jira/browse/SPARK-20660
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0
Reporter: Michel Lemay
Priority: Minor
Union on two dataframes with different column orders is not supported and lead
to hard to find issues.
Here is an example showing the issue.
{code}
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row
var inputSchema = StructType(StructField("key", StringType, nullable=true) ::
StructField("value", IntegerType, nullable=true) :: Nil)
var a = spark.createDataFrame(sc.parallelize((1 to 10 by 2)).map(x =>
Row(x.toString, 555)), inputSchema)
var b = a.select($"value", $"key") // any transformation changing column order
will show the problem.
a.union(c).show
// in order to make it work, we need to reorder columns
val bCols = a.columns.map(aCol => b(aCol))
a.union(b.select(bCols:_*)).show
{code}
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