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fix: CAFE → DESSERT enum 수정, nearby 반경 3000m로 조정 #132

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Merged
docodocod merged 1 commit into from
Jun 4, 2026
Merged

fix: CAFE → DESSERT enum 수정, nearby 반경 3000m로 조정 #132

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2 changes: 1 addition & 1 deletion k6/05-store-list.js
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ export const options = {
},
};

const CATEGORIES = ['KOREAN', 'JAPANESE', 'CHINESE', 'WESTERN', 'CAFE'];
const CATEGORIES = ['KOREAN', 'JAPANESE', 'CHINESE', 'WESTERN', 'DESSERT'];
const DISTRICTS = ['GANGNAM', 'MAPO', 'JONGNO', 'YONGSAN', 'SEONGDONG'];

export default function () {
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2 changes: 1 addition & 1 deletion src/main/java/com/catchtable/store/service/StoreService.java
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Expand Up @@ -119,7 +119,7 @@ public String getNearbyPopularStoresForAi(ToolContext toolContext) {
public List<StoreListResponse> getNearbyStores(double latitude, double longitude, int page, int size) {
int limitedSize = Math.min(size, 100);
return storeRepository.findNearbyWithGist(
latitude, longitude, 1000.0,
latitude, longitude, 3000.0,

@gemini-code-assist gemini-code-assist Bot Jun 4, 2026

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반경을 1000.0m에서 3000.0m로 변경하면 검색 면적이 9배로 늘어나게 됩니다. 매장 밀도가 높은 지역에서는 PostGIS 공간 쿼리(ST_DWithin 및 KNN 거리 정렬)가 스캔해야 하는 데이터양이 크게 증가하여 성능 저하(레이턴시 상승 및 CPU 부하)를 유발할 수 있습니다.\n\n권장 사항:\n1. 성능 검증: 반경 3km 기준에서 대량의 데이터가 존재할 때의 쿼리 성능(EXPLAIN ANALYZE)을 점검해 주세요.\n2. 상수화: 3000.0이라는 매직 넘버가 getNearbyPopularStoresForAi 메서드(101라인) 등 여러 곳에서 중복 사용되고 있습니다. 클래스 레벨 상수로 정의하여 관리하는 것을 권장합니다.

PageRequest.of(page, limitedSize)
).stream().map(StoreListResponse::from).toList();
}
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