hubData 1.5.0

• Added Arrow schema utilities for safely converting and validating column types from arrow::Schema objects:
  • as_r_schema(): Converts an Arrow schema to a named character vector of equivalent R types (e.g., "int32" → "integer"). Errors on unsupported types.
  • arrow_schema_to_string(): Extracts the raw Arrow type strings for field in a schema.
  • is_supported_arrow_type(): Returns a named logical vector indicating which schema fields have supported types.
  • validate_arrow_schema(): Validates that all field types in an Arrow schema are supported. Throws a helpful error otherwise.
• Added arrow_to_r_datatypes, a named character vector defining the mapping of safe and portable Arrow types to their R equivalents.
• Added r_schema argument to create_timeseries_schema() and create_oracle_output_schema() functions to enable returning the schema as a vector of R data types instead of an arrow::Schema object (#95)
• Added output_type_id_datatype argument to create_oracle_output_schema() and connect_target_oracle_output() functions to allow users to explicitly specify the data type of the output_type_id column in the schema. This ensuring compatibility with create_hub_schema() and connect_hub() (#95).
• (Internal) Refactored target data schema and connection tests to use embedded example hubs and reusable schema fixtures, improving reliability and making tests independent of dataset size and ordering.
• Added utilities for working with hive-partitioned data file paths:
  • extract_hive_partitions() for extracting key value pairs from paths to hive-partitioned data files.
  • is_hive_partitioned_path() for checking if a path is hive-partitioned.

• create_oracle_output_schema() and create_timeseries_schema() now define a schema for hive-partitions whose data types are defined in the tasks.json config (#89).