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Hibernate / EclipseLink Interview questions

Explain the internal working of EclipseLink's cache coordination?

Cache coordination keeps the shared (L2) cache consistent across multiple JVMs in a clustered deployment. Without it, a change committed on one node's shared cache would leave every other node holding a now-stale cached copy of the same entity, since each JVM's shared cache is otherwise entirely independent.

sequenceDiagram participant NodeA as JVM Node A participant Transport as Coordination Transport (RMI/JMS) participant NodeB as JVM Node B participant NodeC as JVM Node C NodeA->>NodeA: Commit transaction, update local cache NodeA->>Transport: Broadcast change notification Transport->>NodeB: Deliver change notification Transport->>NodeC: Deliver change notification NodeB->>NodeB: Invalidate or update cached entity NodeC->>NodeC: Invalidate or update cached entity

When a transaction commits on one node, EclipseLink broadcasts a change notification over a configured transport, RMI or JMS being the common choices, to every other node participating in coordination. Each receiving node then either invalidates its cached copy of the affected entities (forcing a fresh database read next time they're needed) or applies the change directly to its own cache, depending on the configured coordination mode.

This trades some network overhead and eventual-consistency lag for keeping cache hit rates high across a cluster; the alternative, disabling the shared cache in clustered deployments entirely, avoids staleness but gives up the performance benefit the cache exists to provide in the first place.

Cache coordination exists to solve:
Common transports used for EclipseLink cache coordination include:

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