ygf11 opened a new pull request, #4258:
URL: https://github.com/apache/arrow-datafusion/pull/4258
# Which issue does this PR close?
Closes #4197.
# Rationale for this change
When join condition is ambiguous, the `sql` will work.
It should throw an error, like PostgreSQL or Spark do.
For example, test0 and test1 both has c0 column:
```sql
❯ explain select t0.c0, t1.c0 from test0 as t0 inner join test0 as t1 on c0
= 1;
+---------------+-------------------------------------------------------------------------------------------------------------+
| plan_type | plan
|
+---------------+-------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: t0.c0, t1.c0
|
| | CrossJoin:
|
| | Filter: t0.c0 = Int16(1)
|
| | SubqueryAlias: t0
|
| | TableScan: test0 projection=[c0]
|
| | SubqueryAlias: t1
|
| | TableScan: test0 projection=[c0]
|
```
# What changes are included in this PR?
Add ambiguous check for join condition.
# Are these changes tested?
Yes, test case is added.
# Are there any user-facing changes?
No
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