class_docstr: A standard ``string.Formatter`` in Python that can understand PySpark instances
  with basic Python objects. This object has to be clear after the use for single SQL
  query; cannot be reused across multiple SQL queries without cleaning.
class_docstr_tok: ["A","standard","``","string.Formatter","``","in","Python","that","can","understand","PySpark","instances","with","basic","Python","objects",".","This","object","has","to","be","clear","after","the","use","for","single","SQL","query",";","can","not","be","reused","across","multiple","SQL","queries","without","cleaning","."]
code: def get_field(
      self,
      field_name: str,
      args: Sequence[Any],
      kwargs: Mapping[str, Any],
  ) -> Any:
      obj, first = super(SQLStringFormatter, self).get_field(
          field_name, args, kwargs
      )
      return self._convert_value(obj, field_name), first
  
file_path: spark/python/pyspark/sql/sql_formatter.py
imports: import string
  import typing
  from typing import Any, Optional, List, Tuple, Sequence, Mapping
  import uuid
  from py4j.java_gateway import is_instance_of
  from pyspark.sql.functions import lit
  from pyspark.errors import PySparkValueError
label_desc: Use image node_id 2 for calling the SQLStringFormatter obj's underlying member method code with example usage: obj.get_field(field_name, args, kwargs) and returns: self,  first