[DISCUSS] Standardizing Error Handling in the Iceberg Spark Module

[huaxin gao]

Hi everyone,

While working on integrating Spark 4.0 with Iceberg, I noticed that error
conditions in the Spark module are primarily validated through the content
of error messages. I need to revise some of the validation because the
error messages have changed in Spark 4.0. Spark has standardized error
handling by introducing error classes and SQLSTATE codes since 3.1. I would
like to align the error handling in the Iceberg Spark module with Spark's
standard error handling framework, specifically by shifting from validating
error message content to validating error classes and SQLSTATE codes.  I
have prepared a quick write-up
<https://docs.google.com/document/d/11qHUiCcKMJ-xAyfL__Yv7B1b5N-80-GIwE8AV96A2Ac/edit?usp=sharing>
for background information and an example. Please let me know what you
think. If there are no objections to this proposal, I will begin updating
the error handling in the Spark module.

Thanks,
Huaxin