class_docstr: An over window specification.
  
  Similar to SQL, over window aggregates compute an aggregate for each input row over a range
  of its neighboring rows.
class_docstr_tok: ["An","over","window","specification",".","Similar","to","SQL",",","over","window","aggregates","compute","an","aggregate","for","each","input","row","over","a","range","of","its","neighboring","rows","."]
code: def __init__(self, java_over_window):
      self._java_over_window = java_over_window
  
imports: from py4j.java_gateway import get_method
  from pyflink.java_gateway import get_gateway
  from pyflink.table import Expression
  from pyflink.table.expression import _get_java_expression
  from pyflink.table.utils import to_expression_jarray
label_desc: Use image node_id 1 to create a new OverWindow object from inherited base classes: object with example: obj = OverWindow(java_over_window)