Github user weicheng113 commented on the issue:
https://github.com/apache/spark/pull/13600
@rxin , With current implementation, i cannot think a way to extend it to
support other types, as it restricts itself on long lower&upper bounds only.
The major API changes I did are below and support back compatibility:
`class JdbcRDD[T: ClassTag](
sc: SparkContext,
getConnection: () => Connection,
sql: String,
partitions: Seq[JdbcPartition],
mapRow: (ResultSet) => T)
extends RDD[T](sc, Nil) with Logging {
...`
`
trait JdbcPartition extends Serializable {
def fill(stmt: PreparedStatement): Unit
}
`
The changes i think it is necessary as JdbcPartition leave room for
extension, allowing any potential types of lower&upper bound types and other
cases.
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