Skip to content

Conversation

@huaxingao
Copy link
Contributor

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

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant