Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17938#discussion_r116030963
--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,46 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
Note that partition information is not gathered by default when creating
external datasource tables (those with a `path` option). To sync the partition
information in the metastore, you can invoke `MSCK REPAIR TABLE`.
+### Bucketing, Sorting and Partitioning
--- End diff --
@cloud-fan I think we can redirect to partition discovery here. But
explaining the difference and possible applications (low vs. high cardinality)
could be a good idea.
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