WangGuangxin commented on pull request #35460:
URL: https://github.com/apache/spark/pull/35460#issuecomment-1040409122
> Isn't this why you shouldn't partition, shuffle, etc on some random value?
use a hash?
The data analyst may always have various needs such as `distributed by
rand()` to redistribute data evenly
or `select * from
(select concat(key1, rand()) as key1 from tbl1) a
join
(select key2 from tbl2) b
on a.key1 = b.key2` to work around skew data, which is a valid SQL in
Spark.
Both of these sqls will generate a `HashPartitioning` with non-deterministic
expressions.
If we don't support shuffle by random value, we should disable this.
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