[FLUSS][Spark] Add set_cluster_configs and reset_cluster_configs procedures

[XuQianJin-Stars]

Purpose

Linked issue: close #3203

This PR adds set_cluster_configs and reset_cluster_configs procedures to the Spark connector, aligning it with the Flink connector which already provides a complete set of cluster configuration management procedures (get_cluster_configs, set_cluster_configs, reset_cluster_configs).

Currently, Spark users can only read cluster configurations via get_cluster_configs but cannot dynamically modify or reset them through SQL. This change closes that gap.

Brief change log

• Added SetClusterConfigsProcedure to dynamically set cluster configuration values via CALL sys.set_cluster_configs(config_pairs => ARRAY('key1', 'value1', 'key2', 'value2')).
• Added ResetClusterConfigsProcedure to reset cluster configurations to their default values via CALL sys.reset_cluster_configs(config_keys => ARRAY('key1', 'key2')).
• Registered both new procedures in SparkProcedures.
• Both procedures reuse the existing Admin.alterClusterConfigs() API with AlterConfigOpType.SET and AlterConfigOpType.DELETE respectively.
• Updated the Spark procedures documentation with syntax, parameters, return types, and examples for both new procedures.

Tests

• SetClusterConfigsProcedureTest:
  • set_cluster_configs: set a single configuration — sets a config and verifies it via get_cluster_configs
  • set_cluster_configs: set multiple configurations — sets multiple configs in one call
  • set_cluster_configs: empty config_pairs should fail — validates error on empty input
  • set_cluster_configs: odd number of config_pairs should fail — validates error on malformed input
• ResetClusterConfigsProcedureTest:
  • reset_cluster_configs: set and then reset a configuration — sets a config, resets it, and verifies it's no longer DYNAMIC
  • reset_cluster_configs: reset multiple configurations — resets multiple configs in one call
  • reset_cluster_configs: empty config_keys should fail — validates error on empty input

API and Format

No. This change only adds new Spark SQL procedures. No existing API or storage format is affected.

Documentation

Yes. Updated website/docs/engine-spark/procedures.md with documentation for both set_cluster_configs and reset_cluster_configs procedures, including syntax, parameters, return types, examples, and notes.