as-sher commented on issue #11534:
URL: https://github.com/apache/iceberg/issues/11534#issuecomment-2473190238
@nastra I raised this up with databricks and got this as the response :-
```We've had similar requests from other customers in the past, and we've
found that Iceberg works with Databricks Runtime (DBR) versions below 14.1, but
it breaks with versions 14.3 and above.
Using Iceberg jars in Databricks Runtime (DBR) is not supported, even if it
may work for certain versions (e.g. DBR 14.1).
The reason for this is that there are binary incompatibility issues between
Iceberg and Spark, which can cause errors.
DBR 14.3 use Spark 3.5.0, but there's an internal change that broke binary
compatibility with Iceberg.
Databricks does not support Iceberg writes in DBR, and this error is an
example of the conflict that hasn't been resolved.```
Can you suggest some workaround this?
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