Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17874
in postgres, `select a from t where b > 0` can work, I think it's
reasonable if `df.select("y").where("x=1")` works in spark.
```
Seq(1).toDF("c1").createOrReplaceTempView("onerow")
sql(
"""
| select 1
| from (select 1 from onerow t2 LIMIT 1)
| where t2.c1=1""".stripMargin)
```
this one we should not support, we should not add missing attributes though
subqueries.
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