Github user yhuai commented on the issue:
https://github.com/apache/spark/pull/17666
@maropu Sorry. I think this PR introduces a regression.
```
scala> spark.sql("select * from range(1, 10) cross join range(1,
10)").explain
== Physical Plan ==
org.apache.spark.sql.AnalysisException: Detected cartesian product for
INNER join between logical plans
Range (1, 10, step=1, splits=None)
and
Range (1, 10, step=1, splits=None)
Join condition is missing or trivial.
Use the CROSS JOIN syntax to allow cartesian products between these
relations.;
```
I think we are taking the cross as the alias.
I reverted your change locally and the query worked. I am attaching the
expected analyzed plan below.
```
scala> spark.sql("select * from range(1, 10) cross join range(1,
10)").queryExecution.analyzed
res1: org.apache.spark.sql.catalyst.plans.logical.LogicalPlan =
Project [id#8L, id#9L]
+- Join Cross
:- Range (1, 10, step=1, splits=None)
+- Range (1, 10, step=1, splits=None)
```
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