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JDO Architectures
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Multiple PersistenceManagers Accessing the Same Datastore

You can instantiate multiple PersistenceManagers in your application from the same or different PersistenceManagerFactorys. Figure 3-3 illustrates an application with two PersistenceManagers from the same PersistenceManagerFactory.

Figure 3-3. Application with multiple PersistenceManagers



Each PersistenceManager manages its own transaction context and application cache. In this particular example, both PersistenceManagers access the same datastore and are from the same JDO implementation. This is the typical architecture for managed environments where different instances of the same component access the same datastore via different PersistenceManagers.

Both PersistenceManagers may have the same datastore instance in their caches, represented by different persistent instances. This architecture provides for transactional isolation of changes made to the same datastore instance by different transactions.

Multiple PersistenceManagers Accessing Different Datastores

Figure 3-4 illustrates PersistenceManagers accessing different datastores. These PersistenceManagers could be from the same or different implementations. For example, one datastore may be a relational database and the other an object database. Due to JDO's binary-compatibility contract (covered in Chapter 6), PersistenceManagers from different implementations can manage different instances of the same persistent classes. JDO is the first database-interface technology to offer this high level of portability across database architectures.

Figure 3-4. Application with multiple JDO implementations

Shared Implementation Cache

In addition to the application cache, some JDO implementations also maintain their own persistent instance cache that sits between the application cache and the datastore. Your application does not have access to this implementation cache. Its role is to cache the state of objects from the datastore in memory, so they can be provided to the application without requiring access to the datastore. Use of caches can result in significant performance improvements. A shared implementation cache is most useful when you use nontransactional access, covered in Chapter 14, or optimistic transactions, covered in Chapter 15. When you use datastore transactions, the shared cache is usually bypassed.

Shared implementation cache within a single JVM

Figure 3-5 illustrates a shared implementation cache that is managed within a single JVM. It allows each of the PersistenceManagers to quickly access the state of objects that have been accessed from the same datastore.

Figure 3-5. Implementation of a shared cache for transactions accessing the same datastore

For example, if one PersistenceManager accesses a particular instance, the implementation needs to read the instance from the datastore. But if the other PersistenceManager then accesses the same instance, the implementation can use the data in the shared implementation cache and avoid having to access the datastore.

Shared implementation cache distributed among JVMs

Several JDO implementations provide a distributed cache architecture, which allows them to migrate the state of objects between JVMs. Figure 3-6 illustrates this architecture.

Figure 3-6. Implementation use of distributed, synchronized caches

Again, the goal with these implementations is to avoid a datastore access whenever possible. For some systems where multiple applications may access the same objects, these implementations demonstrate substantial performance improvements.

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