Github user CK50 commented on a diff in the pull request:
https://github.com/apache/spark/pull/10312#discussion_r47749421
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala ---
@@ -108,6 +108,34 @@ abstract class JdbcDialect extends Serializable {
def beforeFetch(connection: Connection, properties: Map[String,
String]): Unit = {
}
+ /**
+ * Get the SQL statement that should be used to insert new records into
the table.
+ * Dialects can override this method to return a statement that works
best in a particular
+ * database.
+ * @param table The name of the table.
+ * @param rddSchema The schema of DataFrame to be inserted
+ * @param columnMapping An optional mapping from DataFrame field names
to database column
+ * names
+ * @return The SQL statement to use for inserting into the table.
+ */
+ def getInsertStatement(table: String,
+ rddSchema: StructType,
+ columnMapping: Map[String, String] = null):
String = {
+ if (columnMapping == null) {
+ return rddSchema.fields.map(field => "?")
--- End diff --
Yes, the dialect returns the SQL Insert Statement String, which is then
turned into a prepared statement in JdbcUtils.insertStatement
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