[MySQL] MySQL ROLLUP , summary, 부분합 구하기 

Summary: in this tutorial, you will learn how to use the MySQL ROLLUP clause to generate subtotals and grand totals.

Setting up a sample table

The following statement creates a new table named sales that stores the order values summarized by product lines and years. The data comes from the productsorders, and orderDetails tables in the sample database.

 
CREATE TABLE sales SELECT productLine, YEAR(orderDate) orderYear, SUM(quantityOrdered * priceEach) orderValue FROM orderDetails INNER JOIN orders USING (orderNumber) INNER JOIN products USING (productCode) GROUP BY productLine , YEAR(orderDate);

Code language: SQL (Structured Query Language) (sql)

The following query returns all rows from the sales table:

 
SELECT * FROM sales;

Code language: SQL (Structured Query Language) (sql)

MySQL ROLLUP - sample table

MySQL ROLLUP Overview

A grouping set is a set of columns to which you want to group. For example, the following query creates a grouping set denoted by (productline)

 
SELECT productline, SUM(orderValue) totalOrderValue FROM sales GROUP BY productline;

Code language: SQL (Structured Query Language) (sql)

MySQL ROLLUP - GROUP BY clause

The following query creates an empty grouping set denoted by the ():

 
SELECT SUM(orderValue) totalOrderValue FROM sales;

Code language: SQL (Structured Query Language) (sql)

MySQL ROLLUP - Empty Grouping Set

If you want to generate two or more grouping sets together in one query, you may use the UNION ALL operator as follows:

 
SELECT productline, SUM(orderValue) totalOrderValue FROM sales GROUP BY productline UNION ALL SELECT NULL, SUM(orderValue) totalOrderValue FROM sales;

Code language: SQL (Structured Query Language) (sql)

Here’s the query output:

MySQL ROLLUP - UNION ALL

Because the UNION ALL requires all queries to have the same number of columns, we added NULL in the select list of the second query to fulfill this requirement.

The NULL in the productLine column identifies the grand total super-aggregate line.

This query is able to generate the total order values by product lines and also the grand total row. However, it has two problems:

  1. The query is quite lengthy.
  2. The performance of the query may not be good since the database engine has to internally execute two separate queries and combine the result sets into one.

To fix these issues, you can use the ROLLUP clause.

The ROLLUP clause is an extension of the GROUP BY clause with the following syntax:

 
SELECT select_list FROM table_name GROUP BY c1, c2, c3 WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

The ROLLUP generates multiple grouping sets based on the columns or expressions specified in the GROUP BY clause. For example:

 
SELECT productLine, SUM(orderValue) totalOrderValue FROM sales GROUP BY productline WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

Here is the output:

MySQL ROLLUP example

As clearly shown in the output, the ROLLUP clause generates not only the subtotals but also the grand total of the order values.

If you have more than one column specified in the GROUP BY clause, the ROLLUP clause assumes a hierarchy among the input columns.

For example:

 
GROUP BY c1, c2, c3 WITH ROLLUP

Code language: SQL (Structured Query Language) (sql)

The ROLLUP assumes that there is the following hierarchy:

 
c1 > c2 > c3

Code language: SQL (Structured Query Language) (sql)

And it generates the following grouping sets:

 
(c1, c2, c3) (c1, c2) (c1) ()

Code language: SQL (Structured Query Language) (sql)

And in case you have two columns specified in the GROUP BY clause:

 
GROUP BY c1, c2 WITH ROLLUP

Code language: SQL (Structured Query Language) (sql)

경축! 아무것도 안하여 에스천사게임즈가 새로운 모습으로 재오픈 하였습니다.
어린이용이며, 설치가 필요없는 브라우저 게임입니다.
https://s1004games.com

then the ROLLUP generates the following grouping sets:

 
(c1, c2) (c1) ()

Code language: SQL (Structured Query Language) (sql)

See the following query example:

 
SELECT productLine, orderYear, SUM(orderValue) totalOrderValue FROM sales GROUP BY productline, orderYear WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

Here is the output:

MySQL ROLLUP - hierarchy

The ROLLUP generates the subtotal row every time the product line changes and the grand total at the end of the result.

The hierarchy in this case is:

 
productLine > orderYear

Code language: SQL (Structured Query Language) (sql)

If you reverse the hierarchy, for example:

 
SELECT orderYear, productLine, SUM(orderValue) totalOrderValue FROM sales GROUP BY orderYear, productline WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

The following picture shows the output:

MySQL ROLLUP - another hierarchy

The ROLLUP generates the subtotal every time the year changes and the grand total at the end of the result set.

The hierarchy in this example is:

 
orderYear > productLine

Code language: SQL (Structured Query Language) (sql)

The GROUPING() function

To check whether NULL in the result set represents the subtotals or grand totals, you use the GROUPING() function.

The GROUPING() function returns 1 when NULL occurs in a supper-aggregate row, otherwise, it returns 0.

The GROUPING() function can be used in the select list, HAVING clause, and (as of MySQL 8.0.12 ) ORDER BY clause.

Consider the following query:

 
SELECT orderYear, productLine, SUM(orderValue) totalOrderValue, GROUPING(orderYear), GROUPING(productLine) FROM sales GROUP BY orderYear, productline WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

The following picture shows the output:

MySQL ROLLUP - GROUPING function example

The GROUPING(orderYear) returns 1 when NULL in the orderYear column occurs in a super-aggregate row, 0 otherwise.

Similarly, the GROUPING(productLine) returns 1 when NULL in the productLine column occurs in a super-aggregate row, 0 otherwise.

We often use GROUPING() function to substitute meaningful labels for super-aggregate NULL values instead of displaying it directly.

The following example shows how to combine the IF() function with the GROUPING() function to substitute labels for the super-aggregate NULL values in orderYear and productLine columns:

 
SELECT IF(GROUPING(orderYear), 'All Years', orderYear) orderYear, IF(GROUPING(productLine), 'All Product Lines', productLine) productLine, SUM(orderValue) totalOrderValue FROM sales GROUP BY orderYear , productline WITH ROLLUP;

Code language: SQL (Structured Query Language) (sql)

The output is:

MySQL ROLLUP - GROUPING function substitution

In this tutorial, you have learned how to use the MySQL ROLLUP() to generate multiple grouping sets considering a hierarchy between columns specified in the GROUP BY clause.

[출처] https://www.mysqltutorial.org/mysql-rollup/

 

 

본 웹사이트는 광고를 포함하고 있습니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
번호 제목 글쓴이 날짜 조회 수
공지 오라클 기본 샘플 데이터베이스 졸리운_곰 2014.01.02 88970
공지 [SQL컨셉] 서적 "SQL컨셉"의 샘플 데이타 베이스 SAMPLE DATABASE of ORACLE 가을의 곰을... 2013.02.10 80915
공지 [G_SQL] Sample Database 가을의 곰을... 2012.05.20 97535
46 [데이터분석 & 데이터 사이언스] 수많은 데이터 사이언티스트들이 직장을 떠나는 이유는 무엇인가? file 졸리운_곰 2025.03.09 924
45 [데이터분석][파이썬][python] 한글 글꼴 사용 (matplotlib) 졸리운_곰 2024.04.18 1401
44 [데이터분석 & 데이터 사이언스] 데이터에 관한 꼭 알아야 할 오해와 진실 12가지 졸리운_곰 2024.01.17 1369
43 [데이터분석][파이썬][python] Awesome Dash Awesome file 졸리운_곰 2021.07.10 2443
42 [데이터분석][파이썬][python] ???? Introducing Dash ???? file 졸리운_곰 2021.07.10 1645
41 [dataset] (한글) 욕설 감지 데이터셋 file 졸리운_곰 2021.05.12 1587
40 [데이터분석][python] Dash를 사용하는 초보자 및 기타 모든 사용자를위한 Python의 대시 보드 file 졸리운_곰 2021.04.14 1785
39 [데이터분석][python] Dash를 사용하는 초보자 및 기타 모든 사용자를위한 Python의 대시 보드 file 졸리운_곰 2021.04.14 1643
38 [데이터분석][데이터 사이언스][python][Dash] Python, Dash 및 Plotly를 사용하여 COVID-19 사례 데이터 시각화 file 졸리운_곰 2021.03.28 1525
37 [데이터분석][머신러닝] When not to use machine learning or AI Adventures in wishful thinking, nonstationarity, and pattern-finding / 기계 학습 또는 AI를 사용하지 않아야하는 경우 희망찬 사고, 비정상 성, 패턴 찾기의 모험 file 졸리운_곰 2021.03.28 21658
36 [MSA][머신러닝] 쿠버네티스 기반의 End2End 머신러닝 플랫폼 Kubeflow #1 - 소개 file 졸리운_곰 2021.03.21 1166
35 [데이터사이언스] 데이터 과학자를위한 3 가지 훌륭한 디자인 패턴, 3 Great Design Patterns for Data Scientists file 졸리운_곰 2021.03.04 794
34 [데이터분석] 시계열 데이터에 AI를 사용하는 이유는 무엇입니까? file 졸리운_곰 2021.02.28 1250
33 [데이터분석] AI 예측 및 이상 탐지를위한 시계열 데이터 전처리 file 졸리운_곰 2021.02.28 1083
32 [데이터분석] bitcoin analysis 비트 코인 시계열 데이터에 대한 AI 이상 탐지 file 졸리운_곰 2021.02.27 1662
31 [데이터분석 & 데이터 사이언스] How To Create a Data Science Portfolio Website file 졸리운_곰 2021.02.14 1894
30 [데이터수집4] 오픈 API 데이터 수집 (소셜미디어 데이터 수집) file 졸리운_곰 2020.06.12 1995
29 [데이터수집3] 관계형 데이터베이스 데이터 수집 file 졸리운_곰 2020.06.12 1327
28 [데이터수집2] 분산시스템 로그 수집 (빅데이터 수집) file 졸리운_곰 2020.06.12 1549
27 [데이터수집1] 웹 크롤링, 웹 스크래핑 file 졸리운_곰 2020.06.12 1846
대표 김성준 주소 : 경기 용인 분당수지 U타워 등록번호 : 142-07-27414
통신판매업 신고 : 제2012-용인수지-0185호 출판업 신고 : 수지구청 제 123호 개인정보보호최고책임자 : 김성준 sjkim70@stechstar.com
대표전화 : 010-4589-2193 [fax] 02-6280-1294 COPYRIGHT(C) stechstar.com ALL RIGHTS RESERVED