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This PR adds Stage 1 support for Iceberg-managed SQL scalar UDFs in Spark 4.1, backed by a REST service. Spark can list functions and execute them without session-scoped temporary registration by using an analyzer rewrite.
Scope is intentionally read-only: list + load + execute (no CREATE/REPLACE/DROP).
named arguments , default values, UDTF, CRUD will be supported in the following up stages