Github user CK50 commented on a diff in the pull request:
https://github.com/apache/spark/pull/10312#discussion_r47747784
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -265,10 +266,22 @@ final class DataFrameWriter private[sql](df:
DataFrame) {
* @param connectionProperties JDBC database connection arguments, a
list of arbitrary string
* tag/value. Normally at least a "user" and
"password" property
* should be included.
+ * @param columnMapping Maps DataFrame column names to target table
column names.
+ * This parameter can be omitted if the target
table has/will be
--- End diff --
I had followed the example given in line 103:
def options(options: scala.collection.Map[String, String]):
DataFrameWriter = {
and assumed that this is to emphasize the use of a *Scala* Map instead of a
*Java* Map.
Should I replace any use of
scala.collection.immutable.Map[String, String]
by
Map[String, String]
?
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