Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/8575#discussion_r38611491
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala ---
@@ -240,3 +242,21 @@ case object DB2Dialect extends JdbcDialect {
case _ => None
}
}
+
+/**
+ * :: DeveloperApi ::
+ * Default SQL Server dialect, mapping the datetimeoffset types to a
String on read.
+ */
+@DeveloperApi
+case object SqlServerDialect extends JdbcDialect {
+
+ override def canHandle(url: String): Boolean =
url.startsWith("jdbc:sqlserver")
+
+ override def getCatalystType(
+ sqlType: Int, typeName: String, size: Int, md: MetadataBuilder):
Option[DataType] = {
+ if (typeName.contains("datetimeoffset")) {
+ // String is used by SQL Server for datetimeoffset types in
legacy clients
--- End diff --
Sorry if this is an obvious question, but the comment says "legacy clients"
- what versions are considered legacy clients (and do the new clients use a
different type)?
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