Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9889#discussion_r45824400
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala ---
@@ -75,12 +75,12 @@ private[sql] class CacheManager extends Logging {
}
/**
- * Caches the data produced by the logical representation of the given
[[DataFrame]]. Unlike
- * `RDD.cache()`, the default storage level is set to be
`MEMORY_AND_DISK` because recomputing
- * the in-memory columnar representation of the underlying table is
expensive.
+ * Caches the data produced by the logical representation of the given
[[DataFrame]]/[[Dataset]].
--- End diff --
This is a nit, but you could probably just say `[[Queryable]]`.
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