Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/19911
When Spark truncates a table `A`, `B` table is changed. More worse, Spark
doesn't have any idea about how many tables will be affected. This is a side
effect, isn't it?--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
