class_docstr: A DataView is a collection type that can be used in the accumulator of an user defined
  :class:`pyflink.table.AggregateFunction`. Depending on the context in which the function
  is used, a DataView can be backed by a normal collection or a state backend.
class_docstr_tok: ["A","DataView","is","a","collection","type","that","can","be","used","in","the","accumulator","of","an","user","defined",":","class",":","`","pyflink.table.AggregateFunction","`",".","Depending","on","the","context","in","which","the","function","is","used",",","a","DataView","can","be","backed","by","a","normal","collection","or","a","state","backend","."]
docstr: Clears the DataView and removes all data.
docstr_tok: ["Clears","the","DataView","and","removes","all","data","."]
code: def clear(self) -> None:
      """
      Clears the DataView and removes all data.
      """
      pass
  
imports: from abc import ABC, abstractmethod
  from typing import TypeVar, Generic, Iterable, List, Any, Iterator, Dict, Tuple
label_desc: Use image node_id 1 for calling the DataView obj's underlying member method code with example usage: obj.clear() without return types