Triggering window conditions by streaming features of an operator graph

Abstract

In a stream computing application, data may be transmitted between operators using tuples. However, the receiving operator may not evaluate these tuples as they arrive but instead wait to evaluate a group of tuples—i.e., a window. A window is typically triggered when a buffer associated with the receiving operator reaches a maximum window size or when a predetermined time period has expired. Additionally, a window may be triggered by a monitoring a tuple rate—i.e., the rate at which the operator receives the tuples. If the tuple rate exceeds or falls below a threshold, a window may be triggered. Further, the number of exceptions, or the rate at which an operator throws exceptions, may be monitored. If either of these parameters satisfies a threshold, a window may be triggered, thereby instructing an operator to evaluate the tuples contained within the window.