Repeat

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RepeatTemplate

Batch processing is about repetitive actions, either as a simple optimization or as part of a job. To strategize and generalize the repetition and to provide what amounts to an iterator framework, Spring Batch has the RepeatOperations interface. The RepeatOperations interface has the following definition:

public interface RepeatOperations {

    RepeatStatus iterate(RepeatCallback callback) throws RepeatException;

}

The callback is an interface, shown in the following definition, that lets you insert some business logic to be repeated:

public interface RepeatCallback {

    RepeatStatus doInIteration(RepeatContext context) throws Exception;

}

The callback is executed repeatedly until the implementation determines that the iteration should end. The return value in these interfaces is an enumeration value that can be either RepeatStatus.CONTINUABLE or RepeatStatus.FINISHED. A RepeatStatus enumeration conveys information to the caller of the repeat operations about whether any work remains. Generally speaking, implementations of RepeatOperations should inspect RepeatStatus and use it as part of the decision to end the iteration. Any callback that wishes to signal to the caller that there is no work remains can return RepeatStatus.FINISHED.

The simplest general purpose implementation of RepeatOperations is RepeatTemplate:

RepeatTemplate template = new RepeatTemplate();

template.setCompletionPolicy(new SimpleCompletionPolicy(2));

template.iterate(new RepeatCallback() {

    public RepeatStatus doInIteration(RepeatContext context) {
        // Do stuff in batch...
        return RepeatStatus.CONTINUABLE;
    }

});

In the preceding example, we return RepeatStatus.CONTINUABLE, to show that there is more work to do. The callback can also return RepeatStatus.FINISHED, to signal to the caller that there is no work remains. Some iterations can be terminated by considerations intrinsic to the work being done in the callback. Others are effectively infinite loops (as far as the callback is concerned), and the completion decision is delegated to an external policy, as in the case shown in the preceding example.

RepeatContext

The method parameter for the RepeatCallback is a RepeatContext. Many callbacks ignore the context. However, if necessary, you can use it as an attribute bag to store transient data for the duration of the iteration. After the iterate method returns, the context no longer exists.

If there is a nested iteration in progress, a RepeatContext has a parent context. The parent context is occasionally useful for storing data that need to be shared between calls to iterate. This is the case, for instance, if you want to count the number of occurrences of an event in the iteration and remember it across subsequent calls.

RepeatStatus

RepeatStatus is an enumeration used by Spring Batch to indicate whether processing has finished. It has two possible RepeatStatus values:

Table 1. RepeatStatus Properties
Value	Description
`CONTINUABLE`	There is more work to do.
`FINISHED`	No more repetitions should take place.

You can combine RepeatStatus values with a logical AND operation by using the and() method in RepeatStatus. The effect of this is to do a logical AND on the continuable flag. In other words, if either status is FINISHED, the result is FINISHED.

Completion Policies

Inside a RepeatTemplate, the termination of the loop in the iterate method is determined by a CompletionPolicy, which is also a factory for the RepeatContext. The RepeatTemplate has the responsibility to use the current policy to create a RepeatContext and pass that in to the RepeatCallback at every stage in the iteration. After a callback completes its doInIteration, the RepeatTemplate has to make a call to the CompletionPolicy to ask it to update its state (which will be stored in the RepeatContext). Then it asks the policy if the iteration is complete.

Spring Batch provides some simple general purpose implementations of CompletionPolicy. SimpleCompletionPolicy allows execution up to a fixed number of times (with RepeatStatus.FINISHED forcing early completion at any time).

Users might need to implement their own completion policies for more complicated decisions. For example, a batch processing window that prevents batch jobs from executing once the online systems are in use would require a custom policy.

Exception Handling

If there is an exception thrown inside a RepeatCallback, the RepeatTemplate consults an ExceptionHandler, which can decide whether or not to re-throw the exception.

The following listing shows the ExceptionHandler interface definition:

public interface ExceptionHandler {

    void handleException(RepeatContext context, Throwable throwable)
        throws Throwable;

}

A common use case is to count the number of exceptions of a given type and fail when a limit is reached. For this purpose, Spring Batch provides the SimpleLimitExceptionHandler and a slightly more flexible RethrowOnThresholdExceptionHandler. The SimpleLimitExceptionHandler has a limit property and an exception type that should be compared with the current exception. All subclasses of the provided type are also counted. Exceptions of the given type are ignored until the limit is reached, and then they are rethrown. Exceptions of other types are always rethrown.

An important optional property of the SimpleLimitExceptionHandler is the boolean flag called useParent. It is false by default, so the limit is only accounted for in the current RepeatContext. When set to true, the limit is kept across sibling contexts in a nested iteration (such as a set of chunks inside a step).

Listeners

Often, it is useful to be able to receive additional callbacks for cross-cutting concerns across a number of different iterations. For this purpose, Spring Batch provides the RepeatListener interface. The RepeatTemplate lets users register RepeatListener implementations, and they are given callbacks with the RepeatContext and RepeatStatus where available during the iteration.

The RepeatListener interface has the following definition:

public interface RepeatListener {
    void before(RepeatContext context);
    void after(RepeatContext context, RepeatStatus result);
    void open(RepeatContext context);
    void onError(RepeatContext context, Throwable e);
    void close(RepeatContext context);
}

The open and close callbacks come before and after the entire iteration. before, after, and onError apply to the individual RepeatCallback calls.

Note that, when there is more than one listener, they are in a list, so there is an order. In this case, open and before are called in the same order while after, onError, and close are called in reverse order.

Parallel Processing

Implementations of RepeatOperations are not restricted to executing the callback sequentially. It is quite important that some implementations are able to execute their callbacks in parallel. To this end, Spring Batch provides the TaskExecutorRepeatTemplate, which uses the Spring TaskExecutor strategy to run the RepeatCallback. The default is to use a SynchronousTaskExecutor, which has the effect of executing the whole iteration in the same thread (the same as a normal RepeatTemplate).

Declarative Iteration

Sometimes, there is some business processing that you know you want to repeat every time it happens. The classic example of this is the optimization of a message pipeline. If a batch of messages arrives frequently, it is more efficient to process them than to bear the cost of a separate transaction for every message. Spring Batch provides an AOP interceptor that wraps a method call in a RepeatOperations object for this purpose. The RepeatOperationsInterceptor executes the intercepted method and repeats according to the CompletionPolicy in the provided RepeatTemplate.

The following example shows declarative iteration that uses the Spring AOP namespace to repeat a service call to a method called processMessage (for more detail on how to configure AOP interceptors, see the <<https://docs.spring.io/spring-framework/docs/current/reference/html/core.html#aop,Spring User Guide>>):

<aop:config>
    <aop:pointcut id="transactional"
        expression="execution(* com..*Service.processMessage(..))" />
    <aop:advisor pointcut-ref="transactional"
        advice-ref="retryAdvice" order="-1"/>
</aop:config>

<bean id="retryAdvice" class="org.spr...RepeatOperationsInterceptor"/>

The following example uses Java configuration to repeat a service call to a method called processMessage (for more detail on how to configure AOP interceptors, see the <<https://docs.spring.io/spring-framework/docs/current/reference/html/core.html#aop,Spring User Guide>>):

@Bean
public MyService myService() {
	ProxyFactory factory = new ProxyFactory(RepeatOperations.class.getClassLoader());
	factory.setInterfaces(MyService.class);
	factory.setTarget(new MyService());

	MyService service = (MyService) factory.getProxy();
	JdkRegexpMethodPointcut pointcut = new JdkRegexpMethodPointcut();
	pointcut.setPatterns(".*processMessage.*");

	RepeatOperationsInterceptor interceptor = new RepeatOperationsInterceptor();

	((Advised) service).addAdvisor(new DefaultPointcutAdvisor(pointcut, interceptor));

	return service;
}

The preceding example uses a default RepeatTemplate inside the interceptor. To change the policies, listeners, and other details, you can inject an instance of RepeatTemplate into the interceptor.

If the intercepted method returns void, the interceptor always returns RepeatStatus.CONTINUABLE (so there is a danger of an infinite loop if the CompletionPolicy does not have a finite end point). Otherwise, it returns RepeatStatus.CONTINUABLE until the return value from the intercepted method is null. At that point, it returns RepeatStatus.FINISHED. Consequently, the business logic inside the target method can signal that there is no more work to do by returning null or by throwing an exception that is rethrown by the ExceptionHandler in the provided RepeatTemplate.