Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19774#discussion_r152004929
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala ---
@@ -689,6 +689,11 @@ case class DescribeColumnCommand(
buffer += Row("distinct_count",
cs.map(_.distinctCount.toString).getOrElse("NULL"))
buffer += Row("avg_col_len",
cs.map(_.avgLen.toString).getOrElse("NULL"))
buffer += Row("max_col_len",
cs.map(_.maxLen.toString).getOrElse("NULL"))
+ buffer ++= cs.flatMap(_.histogram.map { hist =>
--- End diff --
yea I think for this case the for loop is conventional
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