Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14712
I wanna make sure we are in the same page:
**top priority**: users analyze the table in Spark and query it in Spark.
(this must work)
**second priority**: the table is already analyzed by Hive, users query it
in Spark.(this should work)
**low priority**: users analyze the table in Spark and query it in Hive.(it
will be good if this works, but also fine if this doesn't)
I'm a little hesitant about dealing with the
`STATS_GENERATED_VIA_STATS_TASK` and `COLUMN_STATS_ACCURATE` flags, are they
only needed for the third(low priority) target? If they are, I'd like to ignore
them to simplify the logic.
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