Identifying Event Patterns Based On Order of Event Arrival¶ Purpose¶ This application demonstrates how to detect patterns with Siddhi pattern concept. In the sample we capture a pattern where the temperature of a room increases by 5 degrees within 2 minutes Prerequisites¶ Save this sample Executing the Sample¶ Start the Siddhi application by clicking on 'Run' If the Siddhi application starts successfully, the following messages would be shown on the console PatternMatching.siddhi - Started Successfully! Notes¶ If you edit this application while it's running, stop the application -> Save -> Start. Testing the Sample¶ Simulate single events. For this, click on 'Event Simulator' (double arrows on left tab) -> 'Single Simulation' -> Select 'PatternMatching' as 'Siddhi App Name' -> Select 'RoomTemperatureStream' as 'Stream Name' -> Provide attribute values -> Send To generate an alert, send one event, followed by another event (within 2 mins) where the temperature of the second event shows an increment by 5 degrees or more (eg. Temperature of event 1 = 17.0, Temperature of event 2 = 30.0). Note that these two events may or may not be consecutive. Viewing the Results¶ See the output on the console. Output will be shown if the second temperature input is incremented by 5 degrees or more. Note¶ Stop this Siddhi application, once you are done with the execution @App:name("PatternMatching") @App:description('Identify event patterns based on the order of event arrival') define stream RoomTemperatureStream(roomNo string, temp double); @sink(type='log') define stream RoomTemperatureAlertStream(roomNo string, initialTemp double, finalTemp double); --Capture a pattern where the temperature of a room increases by 5 degrees within 2 minutes @info(name='query1') from every( e1 = RoomTemperatureStream ) -> e2 = RoomTemperatureStream [e1.roomNo == roomNo and (e1.temp + 5.0) <= temp] within 2 min select e1.roomNo, e1.temp as initialTemp, e2.temp as finalTemp insert into RoomTemperatureAlertStream;