#Oracle coherence slow initialize how to

Refresh-Ahead Cache functionality may further improve read performance (by reducing perceived latency). If X exists in the datasource, the CacheStore will load it, return it to Coherence, then Coherence will place it in the cache for future use and finally will return X to the application code that requested it. When an application asks the cache for an entry, for example the key X, and X is not already in the cache, Coherence will automatically delegate to the CacheStore and ask it to load X from the underlying datasource. Therefore, this mapping information must be provided by the application developer in the form of a CacheStore implementation.

#Oracle coherence slow initialize how to

The CacheStore understands how to build a Java object using data retrieved from the datasource, map and write an object to the datasource, and erase an object from the datasource.īoth the datasource connection strategy and the datasource-to-application-object mapping information are specific to the datasource schema, application class layout, and operating environment. The CacheStore implementation accesses the datasource via a data access mechanism (e.g., Hibernate, JDO, JDBC, another application, mainframe, another cache, etc.). Replicated and Optimistic caches should not be used.Ī CacheStore is an application-specific adapter used to connect a cache to a underlying datasource. Local caches support a subset of this functionality.

Read-through/write-through caching (and variants) are intended for use only with the Partitioned (Distributed) cache topology (and by extension, Near cache). For use with Partitioned (Distributed) and Near cache topologies