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 timestamp extractor that converts the assigned timestamps from a DataStream
  API record into the rowtime attribute and thus preserves the assigned timestamps from the
  source.
  
  .. note::
  
      This extractor only works in streaming environments.
  
  :return: This rowtime descriptor.
docstr_tok: ["Sets","a","built-in","timestamp","extractor","that","converts","the","assigned","timestamps","from","a","DataStream","API","record","into","the","rowtime","attribute","and","thus","preserves","the","assigned","timestamps","from","the","source",".","..","note",":",":","This","extractor","only","works","in","streaming","environments",".",":","return",":","This","rowtime","descriptor","."]
code: def timestamps_from_source(self) -> "Rowtime":
      """
      Sets a built-in timestamp extractor that converts the assigned timestamps from a DataStream
      API record into the rowtime attribute and thus preserves the assigned timestamps from the
      source.
  
      .. note::
  
          This extractor only works in streaming environments.
  
      :return: This rowtime descriptor.
      """
      self._j_rowtime = self._j_rowtime.timestampsFromSource()
      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 3 for calling the Rowtime obj's underlying member method code with example usage: obj.timestamps_from_source() and returns: self