[Feat] Include additional built-in data types for GraphAr libraries

**Is your feature request related to a problem? Please describe.**
Currently, the GraphAr C++ and Spark libraries supports only several basic data types (including BOOL, INT32, INT64, FLOAT, DOUBLE, and STRING). To serve more scenarios, more built-in data types need to be added in GraphAr libraries.

**Describe the solution you'd like**
Add more common data types to the GraphAr libraries, such as DATE, TIME, BINARY, STRUCT, MAP, ARRARY, and JSON. Since these types are not always supported by the CSV/ORC/Parquet file types and the C++/Spark standard libraries, careful handling should be taken in each case, e.g., performing the necessary type conversions.

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**
Add any other context or screenshots about the feature request here.

No files, tests, or entry points are named. Start by reviewing how the C++ and Spark libraries represent the existing built-in types across CSV, ORC, and Parquet, then define handling for DATE, TIME, BINARY, STRUCT, MAP, ARRAY, and JSON; done means the supported types work with the necessary conversions.

Written by the indexing model from the issue text.