Register ExtractCollectionUdf as Trino UDF (#552)

* map ExtractCollectionUDF to trino version

* spotless

Account for LinkedIn Spark versioning (#551)

### What changes are proposed in this pull request, and why are they necessary?

In `TransportUDFTransformer` we have a function which decides the Scala version to use for a given Spark version. In LinkedIn we have changed the versioning scheme we use internally for Spark 3.5+, where the major version of the internal Spark distribution denotes the full OSS Spark version. E.g. For Spark 3.5.2, this would be 352.x.y (where x and y are internal versions). This PR accounts for this new versioning format.

### How was this patch tested?
Existing unit tests.
Tested the regex separately via regex101
<img width="231" alt="image" src="https://github.com/user-attachments/assets/779eb267-b839-4329-8925-a86900b7467f" />

[Coral-schema] Generalize operand schema inference on ordinal return …

…type UDF calls (#548)

* fix nested nullability inference for nested udf calls

* spotless

* generalize operand schema inference for ordinal return type UDF calls

* add unit test + documentation

Bump Calcite to preserve LATERALs in LATERAL UNNEST calls (#542)

* extract union on lateral outer join unit test

* bump calcite

* fix indent

* bump calcite to latest

* remove print

* remove unused

Register "passthrough" UDFs with correct ordinal return type (#541)

* register spark groot udf with correct return type

* test showcase

* extend + refactor unit test

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Co-authored-by: Limian Zhang <raylmzhang@gmail.com>

Always allow unquoted keywords as column names (#539)

* always allow unquote keywords as column names

* add comment + update unit test

Add EXTRACT_COLLECTION UDF to registry (#533)

add ci/build and release-version badge (#531)

[Coral-Hive] Extend VersionedSqlUserDefinedFunction to support versio…

…n-specific function names (#508)

[Coral-Trino] Modify wrong Trino UDF name (#525)