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https://issues.apache.org/jira/browse/SPARK-26499?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17209612#comment-17209612
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Apache Spark commented on SPARK-26499:
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User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/29968
> JdbcUtils.makeGetter does not handle 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
> Assignee: Thomas D'Silva
> Priority: Major
> Fix For: 2.4.5, 3.0.0
>
>
> 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}}.
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