Programmers Solution

- SQL

Author: SubAkBa

Programmers/README.md

@@ -392,6 +392,9 @@
 |  8  | [식품분류별 가장 비싼 식품의 정보 조회하기](https://school.programmers.co.kr/learn/courses/30/lessons/131116)                      | DATBASE  | [SQL](https://github.com/SubAkBa/Algorithm_Solution/blob/master/Programmers/Solutions/Solution_%EC%8B%9D%ED%92%88%EB%B6%84%EB%A5%98%EB%B3%84%EA%B0%80%EC%9E%A5%EB%B9%84%EC%8B%BC%EC%8B%9D%ED%92%88%EC%9D%98%EC%A0%95%EB%B3%B4%EC%A1%B0%ED%9A%8C%ED%95%98%EA%B8%B0.sql)                                                                                                                                                                                                                    | |
 |  9  | [저자 별 카테고리 별 매출액 집계하기](https://school.programmers.co.kr/learn/courses/30/lessons/144856)                      | DATBASE  | [SQL](https://github.com/SubAkBa/Algorithm_Solution/blob/master/Programmers/Solutions/Solution_%EC%A0%80%EC%9E%90%EB%B3%84%EC%B9%B4%ED%85%8C%EA%B3%A0%EB%A6%AC%EB%B3%84%EB%A7%A4%EC%B6%9C%EC%95%A1%EC%A7%91%EA%B3%84%ED%95%98%EA%B8%B0.sql)                                                                                                                                                                                                                    | |
 | 10  | [년, 월, 성별 별 상품 구매 회원 수 구하기](https://school.programmers.co.kr/learn/courses/30/lessons/131532)                      | DATBASE  | [SQL](https://github.com/SubAkBa/Algorithm_Solution/blob/master/Programmers/Solutions/Solution_%EB%85%84%2C%EC%9B%94%2C%EC%84%B1%EB%B3%84%EB%B3%84%EC%83%81%ED%92%88%EA%B5%AC%EB%A7%A4%ED%9A%8C%EC%9B%90%EC%88%98%EA%B5%AC%ED%95%98%EA%B8%B0.sql)                                                                                                                                                                                                                    | |
+| 11  | [서울에 위치한 식당 목록 출력하기](https://school.programmers.co.kr/learn/courses/30/lessons/131118)                      | DATBASE  | [SQL]()                                                                                                                                                                                                                    | |
+| 12  | [오프라인/온라인 판매 데이터 통합하기](https://school.programmers.co.kr/learn/courses/30/lessons/131537)                      | DATBASE  | [SQL]()                                                                                                                                                                                                                    | |
+| 13  | [특정 세대의 대장균 찾기](https://school.programmers.co.kr/learn/courses/30/lessons/301650)                      | DATBASE  | [SQL]()                                                                                                                                                                                                                    | |
 
 ### LEVEL 5
 | Idx | Question                                                                                 | Category | Solution                                                                                                                                                                                                                   | Note |

Programmers/Solutions/Solution_서울에위치한식당목록출력하기.sql

@@ -0,0 +1,11 @@
+SELECT I.REST_ID
+     , I.REST_NAME
+     , I.FOOD_TYPE
+     , I.FAVORITES
+     , I.ADDRESS
+     , ROUND(AVG(R.REVIEW_SCORE), 2) AS SCORE
+FROM REST_INFO I
+JOIN REST_REVIEW R ON I.REST_ID = R.REST_ID
+WHERE I.ADDRESS LIKE '서울%'
+GROUP BY I.REST_ID
+ORDER BY SCORE DESC, I.FAVORITES DESC;

Programmers/Solutions/Solution_오프라인,온라인판매데이터통합하기.sql

@@ -0,0 +1,22 @@
+WITH TEMP AS (
+    SELECT USER_ID
+         , PRODUCT_ID
+         , SALES_AMOUNT
+         , SALES_DATE
+    FROM ONLINE_SALE
+    WHERE SALES_DATE LIKE '2022-03%'
+    UNION ALL
+    SELECT NULL
+         , PRODUCT_ID
+         , SALES_AMOUNT
+         , SALES_DATE
+    FROM OFFLINE_SALE
+    WHERE SALES_DATE LIKE '2022-03%'
+)
+SELECT DATE_FORMAT(SALES_DATE, "%Y-%m-%d") AS SALES_DATE
+     , PRODUCT_ID
+     , USER_ID
+     , SUM(SALES_AMOUNT) AS SALES_AMOUNT
+FROM TEMP
+GROUP BY SALES_DATE, PRODUCT_ID, USER_ID
+ORDER BY SALES_DATE, PRODUCT_ID, USER_ID;

Programmers/Solutions/Solution_특정세대의대장균찾기.sql

@@ -0,0 +1,18 @@
+WITH RECURSIVE CTE AS (
+    SELECT 1 AS N
+         , ID
+         , PARENT_ID
+    FROM ECOLI_DATA
+    WHERE PARENT_ID IS NULL
+    UNION ALL
+    SELECT N + 1 AS N
+         , E.ID
+         , C.ID
+    FROM CTE C
+    JOIN ECOLI_DATA E ON C.ID = E.PARENT_ID
+    WHERE N < 3
+)
+SELECT ID
+FROM CTE
+WHERE N = 3
+ORDER BY ID;