[spark] Add input argument validation with friendly errors to CALL procedure framework

[XuQianJin-Stars]

Purpose

Linked issue: close #xxx

Introduce reusable input-argument validation helpers in the Spark CALL procedure base class so that procedures fail fast with clear, user-facing error messages when a required parameter is missing or its type does not match the declared parameter spec.

Brief change log

• Added two reusable validation helpers in BaseProcedure:
  • checkRequiredArgument(parameter, provided): throws an IllegalArgumentException with a descriptive message when a required parameter is not supplied.
  • checkArgumentType(parameter, value): throws an IllegalArgumentException when the supplied value's type does not match the declared parameter type.
• GetClusterConfigsProcedure.call now invokes these helpers to validate the config_keys array parameter before execution.
• Added a negative test (GetClusterConfigsProcedureTest) asserting a type-mismatched argument is rejected.

Tests

• GetClusterConfigsProcedureTest:
  • get_cluster_configs: rejects wrong argument type for config_keys — verifies that passing a scalar STRING where an ARRAY is expected fails with a friendly error instead of a cryptic internal failure.

API and Format

• No public API or storage format change. Validation is internal to the procedure framework; only the failure mode (error message) for invalid input is improved.

Documentation

• No documentation change required. Behavior is backward compatible.