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https://issues.apache.org/jira/browse/SPARK-26499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26499:
------------------------------------

    Assignee:     (was: Apache Spark)

> JdbcUtils.getCatalystType maps TINYINT to IntegerType instead of ByteType
> -------------------------------------------------------------------------
>
>                 Key: SPARK-26499
>                 URL: https://issues.apache.org/jira/browse/SPARK-26499
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Thomas D'Silva
>            Priority: Major
>
> 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
> {code:java}
> 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)
> {code}
> This happens because ByteType is not handled in {{JdbcUtils.makeGetter}}.
> Also, since {{JdbcUtils.getCommonJDBCType}} maps ByteType to TinyInt, I think 
> {{getCatalystType}} should map TINYINT to ByteType (it currently maps TINYINT 
> to IntegerType).



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