real last

Author: lcs9317

back/src/main/java/com/back/domain/search/entity/AgeTheme.java

@@ -1,6 +1,6 @@
 /*
  * 이 파일은 연령대+카테고리 테마 사전 엔티티를 정의한다.
- * 흐름: 테마 문자열 + 임베딩 보관, min_age~max_age 및 category로 필터링
+ * 흐름: 테마 문자열/임베딩 보관 → min_age~max_age 및 category로 필터링
  */
 package com.back.domain.search.entity;
 
@@ -17,21 +17,26 @@
 @NoArgsConstructor @AllArgsConstructor @Builder
 public class AgeTheme {
 
-    @Id @GeneratedValue(strategy = GenerationType.IDENTITY)
+    @Id
+    @GeneratedValue(strategy = GenerationType.IDENTITY)
+    @Column(name = "id")
     private Long id;
 
-    @Column(nullable = false) private int minAge;
-    @Column(nullable = false) private int maxAge;
+    @Column(name = "min_age", nullable = false)
+    private int minAge;
+
+    @Column(name = "max_age", nullable = false)
+    private int maxAge;
 
     @Enumerated(EnumType.STRING)
-    @Column(nullable = false, length = 32)
+    @Column(name = "category", nullable = false, length = 32)
     private NodeCategory category;
 
-    @Column(nullable = false, columnDefinition = "text")
+    @Column(name = "theme", nullable = false, columnDefinition = "text")
     private String theme;
 
     @JdbcTypeCode(SqlTypes.OTHER)
     @Convert(converter = PgVectorConverter.class)
-    @Column(nullable = false, columnDefinition = "vector(768)")
+    @Column(name = "embedding", nullable = false, columnDefinition = "vector(768)")
     private float[] embedding;
 }

back/src/main/resources/db/migration/V9__add_ageTheme_and_vocabTerm.sql

@@ -3,50 +3,49 @@
  * 흐름: 확장 활성화 → age_theme(제약/인덱스) → vocab_term(제약/인덱스) → ANALYZE
  */
 
--- 확장 활성화
+-- next 확장 활성화
 CREATE EXTENSION IF NOT EXISTS vector;
 
--- age_theme 테이블 생성
+-- next age_theme 테이블 생성
 CREATE TABLE IF NOT EXISTS age_theme (
-                                         id        BIGINT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
-                                         min_age   INT NOT NULL,
-                                         max_age   INT NOT NULL,
-                                         category  VARCHAR(32) NOT NULL
+                                         id         BIGINT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
+                                         min_age    INT NOT NULL,
+                                         max_age    INT NOT NULL,
+                                         category   VARCHAR(32) NOT NULL
     CHECK (category IN ('EDUCATION','CAREER','RELATIONSHIP','FINANCE','HEALTH','LOCATION','ETC')),
-    theme     TEXT NOT NULL,
-    embedding VECTOR(768) NOT NULL,
+    theme      TEXT NOT NULL,
+    embedding  VECTOR(768) NOT NULL,
     -- 무결성 검증
     CHECK (min_age >= 0 AND max_age >= min_age)
     );
 
--- 범주/연령대 필터 인덱스
+-- next 범주/연령대 필터 인덱스
 CREATE INDEX IF NOT EXISTS idx_age_theme_cat_age
     ON age_theme(category, min_age, max_age);
 
--- 코사인 KNN 인덱스(운영 저사양 고려 ivfflat 사용)
+-- next 코사인 KNN 인덱스(저사양 고려 ivfflat)
 CREATE INDEX IF NOT EXISTS idx_age_theme_embedding_ivfflat
     ON age_theme USING ivfflat (embedding vector_cosine_ops)
     WITH (lists = 50);
 
--- vocab_term 테이블 생성(용어 유니크)
+-- next vocab_term 테이블 생성 (term 유니크)
 CREATE TABLE IF NOT EXISTS vocab_term (
-                                          id        BIGINT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
-                                          term      VARCHAR(128) NOT NULL UNIQUE,
-    embedding VECTOR(768) NOT NULL
+                                          id         BIGINT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
+                                          term       VARCHAR(128) NOT NULL UNIQUE,
+    embedding  VECTOR(768) NOT NULL
     );
 
--- 코사인 KNN 인덱스
+-- next 코사인 KNN 인덱스
 CREATE INDEX IF NOT EXISTS idx_vocab_term_embedding_ivfflat
     ON vocab_term USING ivfflat (embedding vector_cosine_ops)
     WITH (lists = 50);
 
--- 통계 수집(IVFFLAT 생성 후 권장)
+-- next 통계 수집(IVFFLAT 생성 후 권장)
 ANALYZE age_theme;
 ANALYZE vocab_term;
 
 /*
--- 무결성 검증
--- HNSW를 쓰고 싶다면 아래로 교체(메모리 여유 필요, PG ≥ 16 권장)
+-- 옵션: 메모리 여유 & PG ≥ 16이면 HNSW 사용
 -- CREATE INDEX IF NOT EXISTS idx_age_theme_embedding_hnsw
 --   ON age_theme USING hnsw (embedding vector_cosine_ops);
 -- CREATE INDEX IF NOT EXISTS idx_vocab_term_embedding_hnsw