Remotable services should be coarsegrained in Java

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Remotable services should be coarsegrained
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Clients of Remotable Services May Experience Communications Failures Because invocations on remotable services generally travel over a network, there is a possibility communications may be interrupted In SCA, the unchecked orgosoascaServiceUnavailable Exception exception will be thrown if a communication error occurs Clients need to handle such exceptions, potentially by retrying or reporting an error
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Parameters associated with remotable service operations behave differently than those of operations on local services
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Remotable Services Parameters Are Passed by Value Parameters associated with remotable service operations behave differently than those of operations on local services When remotable invocations are made, parameters are marshaled to a protocol format such as XML and passed over a network connection This results in a copy of the parameters being made as the invocation is received by the service provider Consequently, modi cations made by the service provider will not be seen by the client This behavior is termed pass-by-value In contrast, because invocations on local services are made in the same process, operation parameters are not copied Any changes made by the service provider will be visible to the client This behavior is known as pass-by-reference Marking a service as remotable signals to clients whether pass-by-value or pass-by-reference semantics will be in effect
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Table 21 summarizes the differences between remotable and local services
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Table 21 Remotable Versus Local Services Local Services Are always invoked in-process Parameters are pass-by-reference Tend to be ne-grained Commonly use synchronous operations
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Remotable Services Are invoked in-process and remotely Parameters are pass-by-value Are coarse-grained Are loosely coupled and favor asynchronous operations
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It may seem odd that a technology designed for building distributed applications speci es local service contracts as the default when de ned in Java This was a conscious decision on the part of the SCA authors Echoing Jim Waldo s seminal essay, The Fallacies of Distributed Computing, location transparency is a fallacy: Crossing remote boundaries requires careful architectural consideration that has a direct impact on application code Issues such as network latency, service availability, and loose coupling need to be accounted for in component implementations This was one of the lessons learned with EJB: Many early Java EE applications suffered from crippling performance bottlenecks associated with making too many remote calls To minimize remote calls, distributed applications have a relatively small number of services exposed to remote clients Each of these services should in turn have a few coarse-grained operations that perform a signi cant task, such as processing a loan application or performing an inventory check Moreover, these services should be carefully constructed so that new versions can be deployed without breaking existing clients Limiting the number of remotable services and operations helps avoid performance issues and facilitates versioning by restricting change to a few areas in an application Given the lessons learned from previous distributed system technologies, the designers of SCA were faced with a dilemma: how to support applications built using coarse-grained services that did not repeat the problems of the past The answer was, ironically, to provide good support for ne-grained, local services If the only way to get the bene ts of SCA such as programming model simplicity were to use remotable services, developers would be pushed into making all code remotable, even if it should not be By providing a model for local services, remote boundaries can be chosen carefully, exposing only those parts of an application that should be accessible to clients hosted in different processes
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Well-designed service-based architectures typically have a limited number of coarse-grained services that coordinate other services to perform speci c tasks The heart of the LoanApplication composite is LoanComponent, which is responsible for receiving loan application data through its LoanService interface and delegating to other services for processing The implementation is a basic Java class that takes a reference proxy to a CreditService interface as
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Well-designed service-based architectures typically have a limited number of coarse-grained services that coordinate other services to perform speci c tasks
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