[draft] Skip unsupported type widening columns

[SemionPar]

Description

A change from failing to skipping is for flexibility, because Databricks supports wider variety of type changes.

Draft todos:

• [x] add case for nested types
• [x] add case for partition columns
• [ ] UnsupportedTypeException.type -> message?
• [ ] Fix failures when all columns are unsupported or specifically selecting only unsupported columns

assertQueryFails("SELECT * FROM " + tableName, "(.*)SELECT \\* not allowed from relation that has no columns");
assertQueryFails("SELECT col FROM " + tableName, "(.*)Column 'col' cannot be resolved");

Additional context and related issues

https://github.com/trinodb/trino/pull/22142, fixes https://github.com/trinodb/trino/issues/22433

Release notes

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# Section
* Fix some things. ({issue}`issuenumber`)