[Oracle] rollup 쿼리 , 오라클 부분합 구하기 

Summary: in this tutorial, you will learn how to use the Oracle ROLLUP extension to generate reports that contain subtotals and totals.

Getting started with Oracle ROLLUP

Consider the following orders and order_items tables in the sample database:

orders and order_items tables

The following query returns the sales revenue by customers in the year of 2017. It calculates net values for the sales orders with the Shipped status and is in charge of a salesman.

 
SELECT customer_id, SUM(quantity * unit_price) amount FROM orders INNER JOIN order_items USING (order_id) WHERE status = 'Shipped' AND salesman_id IS NOT NULL AND EXTRACT(YEAR FROM order_date) = 2017 GROUP BY customer_id ORDER BY amount DESC;

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

Oracle ROLLUP - GROUP By clause

To get the sum of the values in the amount column, you may come up with the following subquery:

 
SELECT SUM(amount) FROM ( SELECT customer_id, SUM(quantity * unit_price) amount FROM orders INNER JOIN order_items USING (order_id) WHERE status = 'Shipped' AND salesman_id IS NOT NULL AND EXTRACT(YEAR FROM order_date) = 2017 GROUP BY customer_id );

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

oracle rollup - using subquery

Oracle provides a better and faster way to calculate the grand total by using the ROLLUP as shown in the following query:

 
SELECT customer_id, SUM(quantity * unit_price) amount FROM orders INNER JOIN order_items USING (order_id) WHERE status = 'Shipped' AND salesman_id IS NOT NULL AND EXTRACT(YEAR FROM order_date) = 2017 GROUP BY ROLLUP(customer_id);

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

Oracle ROLLUP example

In this query, we used the ROLLUP expression to calculate the grand total of sales amounts of the selected orders.

As shown clearly from the output, the row with a NULL value in the customer_id column denotes the grand total row. The amount column of the grand total row showed the sum of all amounts in the output.

Oracle ROLLUP syntax

The ROLLUP is an extension of the GROUP BY clause. The ROLLUP calculates multiple levels of subtotals across a group of columns (or dimensions) along with the grand total.

The following illustrates the syntax of the ROLLUP :

 
SELECT col1, col2, aggregate(col3) FROM table_name GROUP BY ROLLUP (col1, col2);

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

In the query syntax above, the ROLLUP creates subtotals that roll up from the most detailed level to a grand total, following a grouping column specified in the ROLLUP.

The ROLLUP works as follows:

  1. First, calculate the standard aggregate values in the GROUP BY clause.
  2. Then, progressively create higher-level subtotals of the grouping columns, which are col2 and col1 columns, from right to left.
  3. Finally, calculate the grand total.

The ROLLUP clause generates the number of grouping sets which is the same as the number grouping columns specified in the ROLLUP plus a grand total. In other words, if you have n columns listed in the ROLLUP, you will get n+ 1 level of subtotals with ROLLUP.

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

In the syntax above, the ROLLUP clause generates the following grouping sets:

  1. (col1, col2)
  2. (col2)
  3. (grand total)

The number of rows in the output is derived from the number of unique combinations of values in the grouping columns.

To reduce the number of subtotals, you can perform a partial roll up as shown in the following syntax:

 
SELECT col1, col2, aggregate(col3) FROM table_name GROUP BY col1, ROLLUP (col2);

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

More Oracle ROLLUP examples

The following example use ROLLUP to return the sales values by salesman and customer:

 
SELECT salesman_id, customer_id, SUM(quantity * unit_price) amount FROM orders INNER JOIN order_items USING (order_id) WHERE status = 'Shipped' AND salesman_id IS NOT NULL AND EXTRACT(YEAR FROM order_date) = 2017 GROUP BY ROLLUP(salesman_id,customer_id);

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

Oracle ROLLUP multiple columns example

As you can see from the output, the query returned the following set of rows:

  • The regular aggregation rows that would be returned by the GROUP BY clause without using the ROLLUP expression.
  • The first-level of subtotals aggregating across salesman for each combination of salesman and customer.
  • The second-level subtotals aggregating across salesman and customer for each salesman.
  • A grand total row.

The following query performs a partial rollup:

 
SELECT salesman_id, customer_id, SUM(quantity * unit_price) amount FROM orders INNER JOIN order_items USING (order_id) WHERE status = 'Shipped' AND salesman_id IS NOT NULL AND EXTRACT(YEAR FROM order_date) = 2017 GROUP BY salesman_id, ROLLUP(customer_id);

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

Oracle ROLLUP partial roll up

The query outputs regular aggregation rows that would be returned by the GROUP BY clause without using the ROLLUP and the subtotals aggregating across salesman for each combination of salesman and customer.

In this tutorial, you have learned how to use the Oracle ROLLUP to generate reports that contain subtotals and totals.

 

[출처] https://www.oracletutorial.com/oracle-basics/oracle-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 87175
공지 [SQL컨셉] 서적 "SQL컨셉"의 샘플 데이타 베이스 SAMPLE DATABASE of ORACLE 가을의 곰을... 2013.02.10 79386
공지 [G_SQL] Sample Database 가을의 곰을... 2012.05.20 96107
21 [국가기술자격 빅데이터분석기사] 빅데이터 분석기사 정보 및 필기 시험 후기 분석 (기출 문제 정리) file 졸리운_곰 2022.09.21 1559
20 [국가기술자격 빅데이터분석기사] `빅데이터분석기사` 자격증의 허상 졸리운_곰 2022.09.21 1509
19 [국가기술자격 빅데이터분석기사] 빅데이터 분석기사 요약 - 4과목. 빅데이터 결과 해석 졸리운_곰 2022.09.19 2007
18 [국가기술자격 빅데이터분석기사]빅데이터 분석기사 요약 - 3과목. 빅데이터 모델링 file 졸리운_곰 2022.09.19 1584
17 [국가기술자격 빅데이터분석기사]빅데이터 분석기사 요약 - 2과목. 빅데이터 탐색 file 졸리운_곰 2022.09.19 1589
16 [국가기술자격 빅데이터분석기사]빅데이터 분석기사 요약 - 1과목. 빅데이터 분석 기획 졸리운_곰 2022.09.19 1293
15 [국가기술자격 빅데이터분석기사] [빅데이터분석기사 필기 요약] I.빅데이터 분석 기획 - 02. 데이터 분석 계획 file 졸리운_곰 2022.09.15 1208
14 [국가기술자격 빅데이터분석기사][빅데이터분석기사 필기 요약] I.빅데이터 분석 기획 - 01. 빅데이터의 이해 (3) 졸리운_곰 2022.09.15 1844
13 [국가기술자격 빅데이터분석기사][빅데이터분석기사 필기 요약] I.빅데이터 분석 기획 - 01. 빅데이터의 이해 (2) file 졸리운_곰 2022.09.13 1389
12 [국가기술자격 빅데이터분석기사] [빅데이터분석기사 필기 요약] I.빅데이터 분석 기획 - 01. 빅데이터의 이해 (1) 졸리운_곰 2022.09.13 1805
11 [국가기술자격 빅데이터분석기사] [인공지능] 베이즈 정리 ( Bayes' theorem ) file 졸리운_곰 2022.09.04 1936
10 [ 국가기술자격 빅데이터분석기사 ] 빅데이터와 베이즈 정리 file 졸리운_곰 2022.09.04 1994
9 [국가기술자격 빅데이터분석기사] 빅데이터분석기사 - 필기 정리1 file 졸리운_곰 2022.09.01 2108
8 [국가기술자격 빅데이터분석기사] 빅데이터분석기사 노트정리 공유 file 졸리운_곰 2022.09.01 1766
7 [국가기술자격 빅데이터분석기사] 빅데이터 분석기사 : 개요 및 특징 file 졸리운_곰 2022.09.01 1434
6 [국가기술자격 빅데이터분석기사] 빅데이터 분석 기사 개요 file 졸리운_곰 2022.09.01 1509
5 [빅데이터분석기사 실기] 빅데이터분석기사 3회 실기 문제 복원 (기출) + 시험공부 팁 file 졸리운_곰 2022.02.07 2017
4 [빅데이터분석기사] 빅데이터분석기사 노트정리 공유 file 졸리운_곰 2022.02.07 3298
3 [빅데이터분석기사] 실기 : 시험 후기, [자격증] 빅데이터분석기사 실기 합격 후기 (비전공자 문과) file 졸리운_곰 2022.02.04 1790
2 [자격소개] 국가기술 빅데이터 분석기사 졸리운_곰 2021.01.07 1888
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