cloud-fan opened a new pull request, #50537:
URL: https://github.com/apache/spark/pull/50537
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### What changes were proposed in this pull request?
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This PR is to fix a long-standing issue that IN subquery allows the struct
type field to have different names while binary comparison requires the left
and right side struct-type values to have the same field name.
For example, `SELECT foo IN (SELECT struct(1 a)) FROM (SELECT struct(1 b)
foo)` is a valid IN subquery even though the field names are different: `a` and
`b`. However, Spark will rewrite IN subquery with join and compare the struct
values as the join condition. This rewrite makes the plan become unresolved
because comparison operator does not allow different field names.
This PR fixes it by relaxing the requirement for binary comparison. The
field name and nullability doesn't matter when we compare two struct values.
### Why are the changes needed?
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Fix potential issues. The plan validation is only enabled in tests so this
unresolved plan may not cause actual issues.
### Does this PR introduce _any_ user-facing change?
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Yes, some queries that fail to analyze before (compare structs) can now work.
### How was this patch tested?
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new test
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no
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