Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/7474#discussion_r35733198
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -1365,6 +1365,20 @@ class DataFrame private[sql](
def foreachPartition(f: Iterator[Row] => Unit): Unit =
rdd.foreachPartition(f)
/**
+ * Zips this [[DataFrame]] with another one, returning a new
[[DataFrame]], like RDD.zip().
+ * Assumes that the two DataFrames have the *same number of rows*, the
two underlying RDDs
+ * have the *same number of partitions* and the *same number of elements
in each partition*
+ * (e.g. one [[DataFrame]] was made through a select on the other).
+ * @group rdd
+ * @since 1.5.0
+ */
+ def zip(other: DataFrame): DataFrame = {
+ val newSchema: StructType = StructType(Array.concat(schema.fields,
other.schema.fields))
--- End diff --
We need to use StructType#merge for schema-consistent checks (e.g.,
avoiding schema conflicts).
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