This lesson develops Data Access, Serialization, Queries, and Aggregation within Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1.
The work is anchored to a platform team designing a resilient distributed cache for high-volume customer and transaction workloads, so each decision is connected to a measurable operational result and an accountable owner.
The instructor models NamedCache and NamedMap access patterns, concurrency, locking, and consistency, then connects it to POF serialization, evolvable types, indexes, extractors, and object compatibility. The demonstration captures the exact configuration, transaction, command, query, log, or screen evidence needed to prove intended behavior and the applicable control boundary.
Learners execute a guided lab focused on POF serialization, evolvable types, indexes, extractors, and object compatibility and filters, queries, aggregators, comparators, and partition-aware execution. The exercise introduces a realistic exception related to latency measurement, serialization failures, query plans, and result validation and requires a reversible correction supported by before-and-after evidence.
Acceptance requires accurate handling of filters, queries, aggregators, comparators, and partition-aware execution, traceable proof for NamedCache and NamedMap access patterns, concurrency, locking, and consistency, and a repeatable recovery path for latency measurement, serialization failures, query plans, and result validation. Results must be understandable to both implementers and operational support teams.
Learners compare symptoms, logs, state, dependencies, and recent changes when latency measurement, serialization failures, query plans, and result validation occurs. The final diagnosis must separate the immediate fix from the preventive control.
The completed output is a tested data access, serialization, queries, and aggregation implementation or analysis, with validation evidence, troubleshooting notes, rollback guidance, and a concise operational handover.