twdsilva commented on a change in pull request #23400: [SPARK-26499] [SQL] 
JdbcUtils.getCatalystType maps TINYINT to IntegerType instead of Byte…
URL: https://github.com/apache/spark/pull/23400#discussion_r244523627
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
 ##########
 @@ -239,7 +239,7 @@ object JdbcUtils extends Logging {
       case java.sql.Types.TIMESTAMP     => TimestampType
       case java.sql.Types.TIMESTAMP_WITH_TIMEZONE
                                         => null
-      case java.sql.Types.TINYINT       => IntegerType
+      case java.sql.Types.TINYINT       => ByteType
 
 Review comment:
   Sure that makes sense. However ```JdbcUtils.makeGetter``` does not handle 
ByteType currently, so if you have a dialect that maps TINYINT to ByteType it 
will fail with 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)
   ```
   
   I will update the PR with with only the change to handle ```ByteType``` in  
```JdbcUtils.makeGetter``` and add a test for this as well. 

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