mosu-105 refactor: 학교 등록 할 때 레디스에도 등록하도록 수정#107
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Caution Review failedThe pull request is closed. WalkthroughThe changes modularize Redis cache operations in Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant SchoolService
participant SchoolRepository
participant SchoolQuotaCacheManager
Client->>SchoolService: registerSchool(request)
SchoolService->>SchoolRepository: save(school)
SchoolRepository-->>SchoolService: savedSchool
SchoolService->>SchoolQuotaCacheManager: addSchoolMaxCapacity(schoolName, capacity)
SchoolService->>SchoolQuotaCacheManager: addSchoolCurrentApplicationCount(schoolName, 0)
SchoolService-->>Client: return savedSchool
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Summary of Changes
Hello @jbh010204, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request implements the functionality to synchronize newly registered school data with the Redis cache. It ensures that school capacity and application count information is immediately available in Redis upon creation, enhancing data consistency and responsiveness. Additionally, it includes a minor refactoring of the Redis caching utility class to improve code organization and maintainability.
Highlights
- Redis Integration for School Registration: Upon successful registration of a new school, its maximum capacity and an initial current application count (set to 0) are now immediately cached in Redis. This ensures that the cache reflects the latest school data without requiring a full cache refresh.
- Refactoring of Redis Caching Logic: Extracted the logic for adding individual school maximum capacities and current application counts into new, dedicated helper methods (
addSchoolMaxCapacityandaddSchoolCurrentApplicationCount) withinSchoolQuotaCacheManager. This improves reusability and reduces duplication in the existing bulk caching methods.
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Code Review
This pull request refactors the SchoolQuotaCacheManager to allow adding individual schools to the Redis cache and uses this new functionality to update the cache when a new school is registered. This is a good improvement to keep the cache consistent with the database upon creation.
My review includes two main points for SchoolService:
- A high-severity concern about the lack of atomicity between the database write and the cache updates, which could lead to data inconsistencies. I've suggested a pattern using
TransactionSynchronizationManagerto address this. - A medium-severity suggestion to replace a magic number with a named constant to improve code maintainability.
The refactoring in SchoolQuotaCacheManager is well done and improves the code's structure.
| schoolQuotaCacheManager.addSchoolMaxCapacity(request.schoolName(), request.capacity()); | ||
| schoolQuotaCacheManager.addSchoolCurrentApplicationCount(request.schoolName(), 0L); |
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The database save operation and these two Redis cache updates are not atomic. The @Transactional annotation only covers the JPA operation. If the database transaction commits successfully but one of the subsequent Redis operations fails (e.g., if the Redis server is temporarily unavailable), the application's data will be in an inconsistent state. The new school will exist in the database but will be missing from the cache, which could lead to runtime errors or incorrect behavior in parts of the application that rely on this cache data.
To ensure data consistency, it's better to couple the cache update to the transaction's lifecycle. A common pattern in Spring is to use TransactionSynchronizationManager to execute the cache updates only after the database transaction has successfully committed.
Here's an example of how you could apply this pattern:
@Transactional
public void registerSchool(SchoolRegistrationRequest request) {
schoolJpaRepository.save(request.toEntity());
TransactionSynchronizationManager.registerSynchronization(new TransactionSynchronizationAdapter() {
@Override
public void afterCommit() {
schoolQuotaCacheManager.addSchoolMaxCapacity(request.schoolName(), request.capacity());
schoolQuotaCacheManager.addSchoolCurrentApplicationCount(request.schoolName(), 0L);
}
});
}This ensures that the cache is only modified if the database write is successful, preventing data inconsistency.
| public void registerSchool(SchoolRegistrationRequest request) { | ||
| schoolJpaRepository.save(request.toEntity()); | ||
| schoolQuotaCacheManager.addSchoolMaxCapacity(request.schoolName(), request.capacity()); | ||
| schoolQuotaCacheManager.addSchoolCurrentApplicationCount(request.schoolName(), 0L); |
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The value 0L is a "magic number". While its meaning is fairly clear in this context, extracting it into a named constant improves readability and maintainability. If this initial value ever needed to change, using a constant provides a single, clear place for the update.
Consider defining a constant within the SchoolService class and using it here:
private static final long INITIAL_APPLICATION_COUNT = 0L;
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Summary by CodeRabbit
Refactor
New Features