dtenedor opened a new pull request, #36583:
URL: https://github.com/apache/spark/pull/36583
### What changes were proposed in this pull request?
Support JSON scans when the table schema has associated DEFAULT column
values.
Example:
```
create table t(i int) using json;
insert into t values(42);
alter table t add column s string default concat('abc', def');
select * from t;
> 42, 'abcdef'
```
Interesting note: JSON does not distinguish between NULL values and the
absence of values. Therefore inserting NULL and then selecting back the same
column yields the default value (if any), since the insert did not change any
storage.
### Why are the changes needed?
This change makes it easier to build, query, and maintain tables backed by
JSON data.
### Does this PR introduce _any_ user-facing change?
Yes.
### How was this patch tested?
This PR includes new test coverage.
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