Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14712
My proposal is: Like data source table metadata, we store the table
statistics using different names from hive, if the statistics is hive
compatible, like row count, we also store the corresponding hive entries. In
this way, we won't be affected by possible hive metastore bugs, and hive can
also recognize table statistics generated by spark.
When we read in a hive table, if its statistics already exists but in hive
format, we can generate the corresponding spark sql entries. Then spark sql can
also recognize table statistics generated by hive.
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