Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/10312#discussion_r47672324
--- 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
+ * created in this method and therefore the
target table structure
+ * matches the DF structure.
+ * This parameter is stongly recommended, if
target table already
+ * exists and has been created outside of this
method.
+ * If omitted, the SQL insert statement will
not include column names,
+ * which means that the field ordering of the
DataFrame must match
+ * the target table column ordering.
*
* @since 1.4.0
*/
- def jdbc(url: String, table: String, connectionProperties: Properties):
Unit = {
+ def jdbc(url: String,
+ table: String,
+ connectionProperties: Properties,
+ columnMapping: scala.collection.immutable.Map[String, String]):
Unit = {
--- End diff --
Any `scala.collection.Map` is OK right? doesn't need to be immutable.
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