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⚡ Optimize DTO-based bulk update methods to prevent N+1 queries#45

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ManupaKDU merged 1 commit into
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performance/fix-n1-pharmacy-controller-dto-bulk-5129182993900325518
Jun 21, 2026
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⚡ Optimize DTO-based bulk update methods to prevent N+1 queries#45
ManupaKDU merged 1 commit into
developmentfrom
performance/fix-n1-pharmacy-controller-dto-bulk-5129182993900325518

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💡 What:
Optimized 8 bulk update methods for DTOs in PharmacyController.java (bulkUpdateDiscountAllowedDto, bulkUpdateDiscountNotAllowedDto, bulkUpdateFractionsAllowedDto, bulkUpdateFractionsNotAllowedDto, bulkUpdateConsumptionAllowedDto, bulkUpdateConsumptionNotAllowedDto, bulkUpdateRefundsAllowedDto, bulkUpdateRefundsNotAllowedDto).
Instead of doing a database fetch in a loop (ampFacade.find(dto.getId())) to update values, the updated logic aggregates all DTO IDs and performs a single parameterised IN clause database query. Then the updates happen in memory over the loaded collection and saved via the preexisting batchEdit() call.

🎯 Why:
The previous logic executed N distinct database SELECT statements when performing bulk updates (N being the number of selected DTOs). This N+1 query problem significantly degraded application performance under load or with large batches.

📊 Measured Improvement:
Since the AbstractFacade cannot be instantiated in standard testing due to the lack of Mockito and a standalone CDI/EJB container in this environment, it's impractical to set up a full automated integration test to benchmark. However, we have shifted the architectural complexity for the fetching phase:

  • Baseline: O(N) SELECT queries for N selected DTOs.
  • Improvement: O(1) SELECT query utilizing an IN clause fetching N items at once.
    This guarantees substantially reduced DB connection and query overhead. Tests pass successfully.

PR created automatically by Jules for task 5129182993900325518 started by @manupawickramasinghe

Refactored eight DTO bulk update methods in `PharmacyController.java` to fetch entities using a single parameterized JPQL IN query rather than calling `find()` inside a loop. The entities are then updated in memory and passed to `batchEdit()`. This changes the database query pattern from O(N) to O(1) for data retrieval, significantly improving performance for bulk operations.

Co-authored-by: manupawickramasinghe <[email protected]>
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@ManupaKDU ManupaKDU merged commit 3a7e169 into development Jun 21, 2026
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