allisonwang-db opened a new pull request, #36216:
URL: https://github.com/apache/spark/pull/36216
### What changes were proposed in this pull request?
This PR updates `ProjectionOverSchema` to use the outputs of the data
source relation to filter the attributes in the nested schema pruning. This is
needed because the attributes in the schema do not necessarily belong to the
current data source relation. For example, if a filter contains a correlated
subquery, then the subquery's children can contain attributes from both the
inner query and the outer query. Since the `RewriteSubquery` batch happens
after early scan pushdown rules, nested schema pruning can wrongly use the
inner query's attributes to prune the outer query data schema, thus causing
wrong results and unexpected exceptions.
### Why are the changes needed?
<!--
Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
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To fix a bug in `SchemaPruning`.
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as
the documentation fix.
If yes, please clarify the previous behavior and the change this PR proposes
- provide the console output, description and/or an example to show the
behavior difference if possible.
If possible, please also clarify if this is a user-facing change compared to
the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
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No
### How was this patch tested?
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cases if possible.
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how you tested step by step, ideally copy and paste-able, so that other
reviewers can test and check, and descendants can verify in the future.
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it was difficult to add.
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for the consistent environment, and the instructions could accord to:
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Unit test
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