Java
TM
Caching API – Final
&G"
<T> Map<K, EntryProcessorResult<T>>
invokeAll(Set<? extends K> keys,
EntryProcessor<K, V, T> entryProcessor,
Object... arguments);
happen-before for each key individually but not
for the Collection.
boolean replace(K key, V value)
happen-before plus compare and swap
boolean replace(K key, V oldValue, V
newValue)
happen-before plus compare and swap
<T> T unwrap(Class<T> cls)
N/A
2.3.2. Further Consistency Models
An implementation may provide support for different consistency models in addition to the required
Default Consistency model.
2.4. Cache Topologies
While the specification does not mandate particular cache topologies, it is cognizant that Cache
entries may well be stored locally and/or distributed across multiple processes. Implementation may
choose to support neither, one, both and/or other topologies.
This notion is expressed in the specification in a number of ways:
● Most mutating methods provide a signature with a void or low cost return types. For example,
while java.util.Map provides the method V put(K key, V value)
javax.cache.Cache provide void put(K key, V value).
Versions with a more expensive return type are also provided. An example is the V
getAndPut(K key, V value) method on Cache. It returns the old value like Map does.
● By having creation semantics that do not assume in-process implementation, Configuration
is Serializable so that it can be sent over the network. Developers may define
implementations of CacheEntryListener, ExpiryPolicy, CacheEntryFilter,
CacheWriter and CacheLoader and associate them with a cache. To support distributed
topologies, a developer defines a Factory for their creation rather than the instance. The
Factory interface is Serializable.
● The use of Iterable throughout the specification for return types and parameters that might be
large.
Methods that return an entire collection such as the Map method keySet() can be
problematic.
A Cache may be so large that a key set may not fit in available memory and it might also be
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