class_docstr: Rowtime descriptor for describing an event time attribute in the schema.
class_docstr_tok: ["Rowtime","descriptor","for","describing","an","event","time","attribute","in","the","schema","."]
docstr: Sets a built-in watermark strategy for rowtime attributes which are out-of-order by a
  bounded time interval.
  
  Emits watermarks which are the maximum observed timestamp minus the specified delay.
  
  :param delay: Delay in milliseconds.
  :return: This rowtime descriptor.
docstr_tok: ["Sets","a","built-in","watermark","strategy","for","rowtime","attributes","which","are","out-of-order","by","a","bounded","time","interval",".","Emits","watermarks","which","are","the","maximum","observed","timestamp","minus","the","specified","delay",".",":","param","delay",":","Delay","in","milliseconds",".",":","return",":","This","rowtime","descriptor","."]
code: def watermarks_periodic_bounded(self, delay: int) -> "Rowtime":
      """
      Sets a built-in watermark strategy for rowtime attributes which are out-of-order by a
      bounded time interval.
  
      Emits watermarks which are the maximum observed timestamp minus the specified delay.
  
      :param delay: Delay in milliseconds.
      :return: This rowtime descriptor.
      """
      self._j_rowtime = self._j_rowtime.watermarksPeriodicBounded(delay)
      return self
  
imports: import sys
  from abc import ABCMeta
  from collections import OrderedDict
  from py4j.java_gateway import get_method
  from typing import Dict, Union
  from pyflink.java_gateway import get_gateway
  from pyflink.table.table_schema import TableSchema
  from pyflink.table.types import DataType, _to_java_data_type
label_desc: Use image node_id 6 for calling the Rowtime obj's underlying member method code with example usage: obj.watermarks_periodic_bounded(delay) and returns: self