Apache Beam provides a way to keep balance between completeness, latency, and cost. Completeness refers here to how all events should process, latency is the time taken to execute an event and cost is the computing power required to finish the job. The following are the right questions that should be asked to build a Pipeline in Apache Beam which maintains balance between the above three parameters:
- What results are calculated? By using the transformations available in Pipeline, the system is calculating results.
- Where in the event time results are calculated? This is achieved by using event-time windowing. Event time windowing is further categorized into fixed, sliding, and session window.
- When in processing time are results materialized? This is achieved by using watermark and triggers. Watermark is the way to measure the completeness of a sequence of events in an unbounded stream. The trigger defines when the output will be emitted from the window. These are the...