A player controls the ball from the time he hit the ball until someone has hit the ball, ball goes out of the ground, or game is stopped. Usecase 2 & 4: Ball Possession and Shots on Goalįor the second use case, we need to calculate the time each player controlled the ball (ball possession). Above query partition events by the player. Here event partitions partition the events by some condition before processing it. We wrote a query for each speed range, found the time stamps of speed range changes, and calculated the final result. You can find more information about Siddhi language from Siddhi Language Specification. Here “+” point to one or more occurrences similar to regular expressions. Siddhi invokes the callback when those conditions are met. For example, Players means velocity range in events received in player event stream. Insert into RunningStats partition by player We have implemented this usecase by using CEP event sequences to detect whenever a player crossed a threshold of event speeds using a query like following. For example, results will tell that the player “Martin” is running fast from the time 27 minutes and 01 second of the game to 27 minute and 35 second of the game. The first usecase measures each player’s running speeds and calculates how long he spent on different speed ranges. We worked with two streams: Players – events from players and BallStream – events from the ball. That is the query matches when those conditions have matched in the given order by the incoming events. Here the comma separated conditions define an event sequence. To understand the queries, you need to know the Siddhi Event query language. I will explain each and tell bit about how we implemented them. Each event includes the location (x,y,z), time stamp, velocity and acceleration of the sensor. Both the player’s shoes and ball had sensors, and as the game continues, it generates about 15,000 events per second. This year grand challenges is to process events generated in a football game and answer four queries related to the game in streaming fashion. ![]() This year we are also competing, and following are some of our experiences while doing it. Every year, they provide a grand challenge that challenges the participants to solve an event-based problem. If no JProfiler instance is running at the time, JProfiler will still be started otherwise, the JProfiler instance running will be used to present the analysis data.ACM International Conference on Distributed Event-Based Systems (DEBS) is one of the primary venues for Complex Event processing related research. Click the "Run" command to analyze the application. ![]() ![]() For all running configuration types, you can decide whether to open a new analysis session window in JProfiler, or you want to reuse the last window to adapt to the analysis session.ĥ. ![]() Startup settings for profiling of a local server configurationĤ. Depending on the running configuration type, you can adjust JVM options or retrieve analysis parameters for remote analysis. The following shows the startup settings for the local server configuration. Edit the running configuration, select the "Startup/Connection" tab, and then select "Profile" for further configuration. JProfiler can analyze all running configuration types from all IDEA or application servers. To analyze the application through IntelliJ IDEA, you need to select one of the profile commands in the Run menu, the context menu in the editor, or click the corresponding toolbar button.Įditor context menu with "Profile" actionģ. If you run the installation program through the JProfiler Installation wizard, you must complete the installation before starting IntelliJ IDEA.Ģ. It is worth noting that IntelliJ IDEA needs to be disabled when the plug-in is installed. Choose Session> IDE integrations from the main menu of JProfiler. This article mainly introduces jprofiler and IntelliJ IDEA Integration.ġ. Java profiling tool JProfilerIt can be integrated with a variety of IDES and application servers.
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