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 ascending rowtime attributes.
  
  Emits a watermark of the maximum observed timestamp so far minus 1. Rows that have a
  timestamp equal to the max timestamp are not late.
  
  :return: This rowtime descriptor.
docstr_tok: ["Sets","a","built-in","watermark","strategy","for","ascending","rowtime","attributes",".","Emits","a","watermark","of","the","maximum","observed","timestamp","so","far","minus","1",".","Rows","that","have","a","timestamp","equal","to","the","max","timestamp","are","not","late",".",":","return",":","This","rowtime","descriptor","."]
code: def watermarks_periodic_ascending(self) -> "Rowtime":
      """
      Sets a built-in watermark strategy for ascending rowtime attributes.
  
      Emits a watermark of the maximum observed timestamp so far minus 1. Rows that have a
      timestamp equal to the max timestamp are not late.
  
      :return: This rowtime descriptor.
      """
      self._j_rowtime = self._j_rowtime.watermarksPeriodicAscending()
      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 5 for calling the Rowtime obj's underlying member method code with example usage: obj.watermarks_periodic_ascending() and returns: self