In most cases, the modern cloud environment is designed around the execution of processes that are not expected to end. If they do end, they are typically restarted. While most platforms do have some way to run a process that is not restarted when it ends, the results of that run are typically not maintained in a consumable way. Spring Cloud Task offers the ability to execute short-lived processes in an environment and record the results. Doing so allows for a microservices architecture around short-lived processes as well as longer running services through the integration of tasks by messages.
While this functionality is useful in a cloud environment, the same issues can arise in a traditional deployment model as well. When running Spring Boot applications with a scheduler such as cron, it can be useful to be able to monitor the results of the application after its completion.
Spring Cloud Task takes the approach that a Spring Boot application can have a start and an end and still be successful. Batch applications are one example of how processes that are expected to end (and that are often short-lived) can be helpful.
Spring Cloud Task records the lifecycle events of a given task. Most long-running processes, typified by most web applications, do not save their lifecycle events. The tasks at the heart of Spring Cloud Task do.
The lifecycle consists of a single task execution. This is a physical execution of a
Spring Boot application configured to be a task (that is, it has the @EnableTask
annotation).
At the beginning of a task, before any CommandLineRunner
or ApplicationRunner
implementations have been run, an entry in the TaskRepository
that records the start
event is created. This event is triggered through SmartLifecycle#start
being triggered
by the Spring Framework. This indicates to the system that all beans are ready for use and
comes before running any of the CommandLineRunner
or ApplicationRunner
implementations
provided by Spring Boot.
![]() | Note |
---|---|
The recording of a task only occurs upon the successful bootstrapping of an
|
Upon completion of all of the *Runner#run
calls from Spring Boot or the failure of an
ApplicationContext
(indicated by an ApplicationFailedEvent
), the task execution is
updated in the repository with the results.
![]() | Note |
---|---|
If the application requires the |
The information stored in the TaskRepository
is modeled in the TaskExecution
class and
consists of the following information:
Field | Description |
---|---|
| The unique ID for the task’s run. |
| The exit code generated from an |
| The name for the task, as determined by the configured |
| The time the task was started, as indicated by the |
| The time the task was completed, as indicated by the |
| Any information available at the time of exit. This can programmatically be set by a
|
| If an exception is the cause of the end of the task (as indicated by an
|
| A |
When a task completes, it tries to return an exit code to the OS. If we take a look at our original example, we can see that we are not controlling that aspect of our application. So, if an exception is thrown, the JVM returns a code that may or may not be of any use to you in debugging.
Consequently, Spring Boot provides an interface, ExitCodeExceptionMapper
, that lets you
map uncaught exceptions to exit codes. Doing so lets you indicate, at the level of exit
codes, what went wrong. Also, by mapping exit codes in this manner, Spring Cloud Task
records the returned exit code.
If the task terminates with a SIG-INT or a SIG-TERM, the exit code is zero unless otherwise specified within the code.
![]() | Note |
---|---|
While the task is running, the exit code is stored as a null in the repository. Once the task completes, the appropriate exit code is stored based on the guidelines described earlier in this section. |