Major Description
I am trying to use the DataSource V2 API to read from a JDBC source. While using JdbcUtils.resultSetToSparkInternalRows to create an internal row from a ResultSet that has a column of type TINYINT I ran into the following exception
java.lang.IllegalArgumentException: Unsupported type tinyint at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetter(JdbcUtils.scala:502) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetters$1.apply(JdbcUtils.scala:379) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetters$1.apply(JdbcUtils.scala:379) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetters(JdbcUtils.scala:379) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.<init>(JdbcUtils.scala:340)
This happens because ByteType is not handled in JdbcUtils.makeGetter.
