[jira] [Created] (SPARK-26499) JdbcUtils.getCatalystType maps TINYINT to IntegerType instead of ByteType

["Thomas D'Silva (JIRA)" <ji...@apache.org>]

Thomas D'Silva created SPARK-26499:
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             Summary: 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


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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