Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15499#discussion_r89012586
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -232,10 +232,10 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
parts: Array[Partition],
connectionProperties: Properties): DataFrame = {
// connectionProperties should override settings in extraOptions.
- val params = extraOptions.toMap ++ connectionProperties.asScala.toMap
- val options = new JDBCOptions(url, table, params)
- val relation = JDBCRelation(parts, options)(sparkSession)
--- End diff --
That is impossible. We are using a different mechanism for table
partitioning. More flexible. Users can do more advanced partitioning (e.g.,
using multiple columns) here.
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