Understanding EclipseLink,
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Stale data is an artifact of caching, in which an object in the cache is not the most recent version committed to the data source. To avoid stale data, implement an appropriate cache locking strategy.
By default, EclipseLink optimizes concurrency to minimize cache locking during read or write operations. Use the default EclipseLink isolation level, unless you have a very specific reason to change it. For more information on isolation levels in EclipseLink, see Shared, Isolated, Protected, Weak, and Read-only Caches.
Cache locking regulates when processes read or write an object. Depending on how you configure it, cache locking determines whether a process can read or write an object that is in use within another process.
A well-managed cache makes your application more efficient. There are very few cases in which you turn the cache off entirely, because the cache reduces database access, and is an important part of managing object identity.
To make the most of your cache strategy and to minimize your application's exposure to stale data, Oracle recommends the following:
Make sure you configure a locking policy so that you can prevent or at least identify when values have already changed on an object you are modifying. Typically, this is done using optimistic locking. EclipseLink offers several locking policies such as numeric version field, time-stamp version field, and some or all fields. Optimistic and pessimistic locking are described in the following sections.
Oracle recommends using EclipseLink optimistic locking. With optimistic locking, all users have read access to the data. When a user attempts to write a change, the application checks to ensure the data has not changed since the user read the data. Use @OptimisticLocking to specify the type of optimistic locking EclipseLink should use when updating or deleting entities.
You can use version or field locking policies. Oracle recommends using version locking policies. The standard JPA @Version annotation is used for single valued value and timestamp based locking. However, for advanced locking features use the @OptimisticLocking annotation. The @OptimisticLocking annotation specifies the type of optimistic locking to use when updating or deleting entities. Optimistic locking is supported on an @Entity or @MappedSuperclass annotation.
For more information on the OptimisticLocking annotation and the types of locking you can use, see "@OptimisticLocking" in Java Persistence API (JPA) Extensions Reference for EclipseLink.
For more information, see Optimistic Version Locking Policies and Optimistic Field Locking Policies.
With pessimistic locking, the first user who accesses the data with the purpose of updating it locks the data until completing the update. The disadvantage of this approach is that it may lead to reduced concurrency and deadlocks. Use the eclipselink.pessimistic-lock property to specify if EclipseLink uses pessimistic locking. For more information, see "eclipselink.pessimistic-lock" in Java Persistence API (JPA) Extensions Reference for EclipseLink.
Consider using pessimistic locking support at the query level. See Pessimistic Locking Policies.
If other applications can modify the data used by a particular class, use a weaker style of cache for the class. For example, the @Cache type attribute values WEAK and SOFT_WEAK minimizes the length of time the cache maintains an object whose reference has been removed. For more information about cache types, see About Cache Type and Size.
Any query can include a flag that forces EclipseLink to go to the data source for the most recent version of selected objects and update the cache with this information. For more information, see About Explicit Query Refreshes. See also "Refreshing the Cache" in Solutions Guide for EclipseLink.
You can configure any entity with an expiry that lets you specify either the number of milliseconds after which an entity instance should expire from the cache, or a time of day that all instances of the entity class should expire from the cache. Expiry is set on the @Cache annotation or <cache> XML element, and can be configured either with the expiry or with the expiryTimOfDay attribute. For more information, see "Setting Entity Caching Expiration" in Solutions Guide for EclipseLink.
If your application is primarily read-based and the changes are all being performed by the same Java application operating with multiple, distributed sessions, you may consider using the EclipseLink cache coordination feature. Although this will not prevent stale data, it should greatly minimize it. For more information, see About Cache Coordination and Clustering and Cache Coordination.
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