Improve JSON Schema Inference and Type Handling in ClickHouse

Improve schema inference from JSON formats: 1) Now it's possible to infer named Tuples from JSON objects without experimental JSON type under a setting input_format_json_try_infer_named_tuples_from_objects in JSON formats. Previously without experimental type JSON we could only infer JSON objects as Strings or Maps, now we can infer named Tuple. Resulting Tuple type will conain all keys of objects that were read in data sample during schema inference. It can be useful for reading structured JSON data without sparse objects. The setting is enabled by default. 2) Allow parsing JSON array into a column with type String under setting input_format_json_read_arrays_as_strings. It can help reading arrays with values with different types. 3) Allow to use type String for JSON keys with unkown types (null/[]/{}) in sample data under setting input_format_json_infer_incomplete_types_as_strings. Now in JSON formats we can read any value into String column and we can avoid getting error Cannot determine type for column 'column_name' by first 25000 rows of data, most likely this column contains only Nulls or empty Arrays/Maps during schema inference by using type String for unknown types, so the data will be read successfully. #54427 (Kruglov Pavel).