Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/19286
@viirya Hey simon, thanks for catching this. Will it be little easier to
follow if we wrote like this ?
```
override def isCascadingTruncateTable(): Option[Boolean] = {
def compute(left: Option[Boolean], right: Option[Boolean]):
Option[Boolean] = {
(left, right) match {
case (_, Some(true)) => Some(true)
case (Some(true), _) => Some(true)
case (Some(false), Some(false)) => Some(false)
case (_, _) => None
}
}
// If any dialect claims cascading truncate, this dialect is also
cascading truncate.
// Otherwise, if any dialect has unknown cascading truncate, this
dialect is also unknown.
dialects.map(_.isCascadingTruncateTable()).reduce(compute(_, _))
```
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