Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9662#discussion_r45003859
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala ---
@@ -64,13 +64,18 @@ abstract class JdbcDialect {
* Get the custom datatype mapping for the given jdbc meta information.
* @param sqlType The sql type (see java.sql.Types)
* @param typeName The sql type name (e.g. "BIGINT UNSIGNED")
- * @param size The size of the type.
+ * @param precision The precision of the type.
+ * @param scale The scale of the type.
* @param md Result metadata associated with this type.
* @return The actual DataType (subclasses of
[[org.apache.spark.sql.types.DataType]])
* or null if the default type mapping should be used.
*/
def getCatalystType(
- sqlType: Int, typeName: String, size: Int, md: MetadataBuilder):
Option[DataType] = None
+ sqlType: Int,
+ typeName: String,
+ precision: Int,
+ scale: Int,
+ md: MetadataBuilder): Option[DataType] = None
--- End diff --
This is a public API, if we add fields here we are going to break any
existing implementations. Do we have to do this?
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