Fsdss-536

| Aspect | Findings | Rating (1‑5) | |--------|----------|--------------| | | Method and class names are expressive. Javadoc is present on all public members. The controller method is concise (delegates to services). | 5 | | Modularity | Clear separation of concerns: parsing, validation, persistence, and reporting are each isolated. No massive monolithic class. | 5 | | Error Handling | All checked exceptions from the parser are wrapped in ImportProcessingException with a user‑friendly message. The controller maps this to HTTP 422 with the ImportReportDto . | 4 | | Logging | Added INFO log on import start/end, DEBUG on each batch persist, WARN on validation failures. Consider adding a TRACE level for per‑row parsing if debugging is needed. | 4 | | Naming Conventions | Consistent with the existing code base (camelCase, *Dto , *Service ). | 5 | | Duplication | No obvious duplication; reuse of TransactionValidator from the single‑record flow. | 5 | | Technical Debt | The batch size is hard‑coded in TransactionBulkService . It should be externalised to application.yml (already referenced in the comment, but not wired). | 3 |

| Metric | Testbed | Result (5.3.6) | Comparison | |--------|---------|----------------|------------| | | 32‑node cluster (8 × NVMe, 24 × SMR HDD) – 10 GB/s aggregate | 9.2 GB/s (≈ 92 % of raw) | +35 % vs. baseline Ceph‑Object. | | Read Latency (99‑th pct) | Same cluster, 100 K concurrent reads (1 KB objects) | 0.84 ms | < 1 ms vs. 3.2 ms for MinIO. | | Compaction Pause | FSDSS-536