Triggering window conditions using exception handling

摘要

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.

主权项

1. A computer-implemented method for processing data, comprising:
receiving streaming data tuples to be processed by a plurality of operators, the operators processing at least a portion of the received data tuples by operation of one or more computer processors; establishing an operator graph of the plurality of operators, the operator graph defining at least one execution path in which a first operator of the plurality of operators is configured to receive data tuples from at least one upstream operator and transmit data tuples to at least one downstream operator; determining a current number of exceptions occurring while the upstream operator performs an operation based on at least one of the streaming data tuples; and triggering a data window in at least one operator of the plurality of operators different from the upstream operator when the current number of exceptions satisfies a threshold, the data window comprising a plurality of data tuples, and wherein triggering the data window causes the at least one operator to evaluate the plurality of data tuples in the data window.