In Camunda, the behavior of moving to the next step in the workflow before an External Task finishes depends on how you model and configure your process. By default, Camunda supports both synchronous and asynchronous processing, offering flexibility based on your requirements. Let's explore the two possibilities:
Synchronous Processing:
In synchronous processing, the workflow execution will wait for the completion of the External Task before proceeding to the next step in the workflow.
When an External Task is reached during the execution of the process, the process engine will pause and delegate the task to an external worker (implemented by your application).
The external worker performs the necessary work for the task and returns the result to the process engine.
Only after the External Task is completed and the response is received, the workflow execution will continue to the next step.
Synchronous processing ensures that each step of the workflow is executed sequentially, waiting for the completion of each task before moving forward.
Asynchronous Processing:
In asynchronous processing, the workflow execution can proceed to the next step immediately after the External Task is started, without waiting for its completion.
When an External Task is reached during the execution of the process, the process engine triggers the task and continues to the next step without waiting for the task to finish.
The External Task is then processed by an external worker asynchronously, which means the work is performed outside the scope of the process engine.
Once the external worker completes the task, it reports the result back to the process engine, which can then continue the workflow execution from that point.
Asynchronous processing allows for parallelism, scalability, and the ability to perform long-running tasks without blocking the workflow execution.
The choice between synchronous and asynchronous processing depends on your use case and the desired behavior of your workflow. If you require sequential execution and want to ensure each task completes before moving to the next step, synchronous processing is suitable. On the other hand, if you need parallelism, scalability, or support for long-running tasks, asynchronous processing with External Tasks is recommended.
You can configure the behavior of the External Tasks, such as the concurrency settings and polling intervals, to further control how the workflow interacts with the external workers
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