All content with label core-concept+connection-pool.
Related Labels: monitoring , heap , failover , write-through , caching , integration , parallel-execution , idempotency , continuous-query , proxy , cache-topologies , listeners , reliability , availability , localcache , serialization-map , service , failback , performance , cache , replicated , optimistic , query , topology , agents , http-session , maplistener , replication , versioned-backing-map , invocation-sevice , data-access , data-grid-wide-execution , re-entrant-calls , patterns , manageability , near-cache , events , synchronous-events , tcmp , transaction , cache-topolgies , refresh-ahead , eis , rtc , management , cluster , backing-map , cachestore , serialization-cache , fabric , query-based-execution , targeted-execution , scalability , aggregation , serviceability , read-through , death-detection , architecture , invocation , partitioned , server , faq-config , federation , glossary , member , write-behind , grid , overflow-map , distributed , node-based-execution , clients , data , synthetic-events , editions , local-storage , hashmap , interleaving , read-write-caching , load-balancing , local-cache more » ( - core-concept , - connection-pool )

Read-Through, Write-Through, Write-Behind and Refresh-Ahead Caching (Coherence 3.4 User Guide) Coherence supports transparent readwrite caching of any datasource, including databases, web services, packaged applications and filesystems; however, databases are the most common use case. As shorthand "database" will be used to describe any backend data source. Effective caches ...