Mysql,Oracle使用rollup函数完成行列统计 ??? 昨天突然在 一篇博客中看到了Mysql也有rollup函数,原博文使用了rollup进行行列统计,原博文链接如下: ??? http://www.cnblogs.com/lhj588/archive/2012/06/15/2550392.html ??? 本博文主要是记录下mysql和oracl
Mysql,Oracle使用rollup函数完成行列统计??? 昨天突然在一篇博客中看到了Mysql也有rollup函数,原博文使用了rollup进行行列统计,原博文链接如下:
??? http://www.cnblogs.com/lhj588/archive/2012/06/15/2550392.html
??? 本博文主要是记录下mysql和oracle使用rollup函数进行行列统计,内容比较简单。
??? 首先是mysql,建表测试:
???
CREATE TABLE `tmysql_test_hanglietongji` ( `id` int(11) NOT NULL, `c1` char(2) COLLATE utf8_bin DEFAULT NULL, `c2` char(2) COLLATE utf8_bin DEFAULT NULL, `c3` int(11) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin
???
INSERT INTO `tmysql_test_hanglietongji` VALUES (1, 'A1', 'B1', 9); INSERT INTO `tmysql_test_hanglietongji` VALUES (2, 'A2', 'B1', 7); INSERT INTO `tmysql_test_hanglietongji` VALUES (3, 'A3', 'B1', 4); INSERT INTO `tmysql_test_hanglietongji` VALUES (4, 'A4', 'B1', 2); INSERT INTO `tmysql_test_hanglietongji` VALUES (5, 'A1', 'B2', 2); INSERT INTO `tmysql_test_hanglietongji` VALUES (6, 'A2', 'B2', 9); INSERT INTO `tmysql_test_hanglietongji` VALUES (7, 'A3', 'B2', 8); INSERT INTO `tmysql_test_hanglietongji` VALUES (8, 'A4', 'B2', 5); INSERT INTO `tmysql_test_hanglietongji` VALUES (9, 'A1', 'B3', 1); INSERT INTO `tmysql_test_hanglietongji` VALUES (10, 'A2', 'B3', 8); INSERT INTO `tmysql_test_hanglietongji` VALUES (11, 'A3', 'B3', 8); INSERT INTO `tmysql_test_hanglietongji` VALUES (12, 'A4', 'B3', 6); INSERT INTO `tmysql_test_hanglietongji` VALUES (13, 'A1', 'B4', 8); INSERT INTO `tmysql_test_hanglietongji` VALUES (14, 'A2', 'B4', 2); INSERT INTO `tmysql_test_hanglietongji` VALUES (15, 'A3', 'B4', 6); INSERT INTO `tmysql_test_hanglietongji` VALUES (16, 'A4', 'B4', 9); INSERT INTO `tmysql_test_hanglietongji` VALUES (17, 'A1', 'B4', 3); INSERT INTO `tmysql_test_hanglietongji` VALUES (18, 'A2', 'B4', 5); INSERT INTO `tmysql_test_hanglietongji` VALUES (19, 'A3', 'B4', 2); INSERT INTO `tmysql_test_hanglietongji` VALUES (20, 'A4', 'B4', 5);
?? 要完成的效果如下:
???
????? 最简单的是使用union,如下:
?????
select ifnull(c1, 'total') as 'total', sum(if(c2 = 'B1', C3, 0)) AS B1, sum(if(c2 = 'B2', C3, 0)) AS B2, sum(if(c2 = 'B3', C3, 0)) AS B3, sum(if(c2 = 'B4', C3, 0)) AS B4, SUM(C3) AS TOTAL from tmysql_test_hanglietongji group by C1 union select 'total' as 'total', sum(if(c2 = 'B1', C3, 0)) AS B1, sum(if(c2 = 'B2', C3, 0)) AS B2, sum(if(c2 = 'B3', C3, 0)) AS B3, sum(if(c2 = 'B4', C3, 0)) AS B4, SUM(C3) AS TOTAL from tmysql_test_hanglietongji order by 1
??? 也可以使用with rollup函数。注意当使用 rollup时, 你不能同时使用 order by子句进行结果排序
???
select ifnull(c1, 'total') 'total', sum(if(c2 = 'B1', C3, 0)) AS B1, sum(if(c2 = 'B2', C3, 0)) AS B2, sum(if(c2 = 'B3', C3, 0)) AS B3, sum(if(c2 = 'B4', C3, 0)) AS B4, SUM(C3) AS TOTAL from tmysql_test_hanglietongji group by C1 with rollup;
?? with rollup其实是第一个的简化。
?? 也可以这样写:
???
SELECT IFNULL(c1, 'total') AS total, SUM(IF(c2 = 'B1', c3, 0)) AS B1, SUM(IF(c2 = 'B2', c3, 0)) AS B2, SUM(IF(c2 = 'B3', c3, 0)) AS B3, SUM(IF(c2 = 'B4', c3, 0)) AS B4, SUM(IF(c2 = 'total', c3, 0)) AS total FROM (SELECT c1, IFNULL(c2, 'total') AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1, c2 WITH ROLLUP HAVING c1 IS NOT NULL) AS A GROUP BY c1 WITH ROLLUP;
??? HAVING c1 IS NOT NULL条件主要是过滤掉对整个tmysql_test_hanglietongji 表求和的那一行,以上面的子查询为例:
???
SELECT c1, IFNULL(c2, 'total') AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1, c2 WITH ROLLUP
??? 结果是:
???
?? 相当于:
??
SELECT c1, IFNULL(c2, 'total') AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1, c2 union ALL SELECT c1, 'total' AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1 union ALL SELECT NULL, 'total' AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji
??? 结果是:
???
??? 可以看出group by c1,c2 with rollup相当于group by c1,c2 union group by c1(c2替换为NULL) union?(c1,c2全部替换为NULL)。
?? 这里的替换规则参考了链接
?? http://blog.itpub.net/519536/viewspace-610995
?? 原文是替换Oracle的rollup,在Mysql中也适用。
?? 使用普通sql写法是:
??
SELECT IFNULL(c1, 'total') AS total, SUM(IF(c2 = 'B1', c3, 0)) AS B1, SUM(IF(c2 = 'B2', c3, 0)) AS B2, SUM(IF(c2 = 'B3', c3, 0)) AS B3, SUM(IF(c2 = 'B4', c3, 0)) AS B4, SUM(IF(c2 = 'total', c3, 0)) AS total FROM (SELECT c1, IFNULL(c2, 'total') AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1, c2 HAVING c1 IS NOT NULL union SELECT c1, 'total' as c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji group by c1) A group by c1 UNION SELECT 'total' as total, SUM(IF(c2 = 'B1', c3, 0)) AS B1, SUM(IF(c2 = 'B2', c3, 0)) AS B2, SUM(IF(c2 = 'B3', c3, 0)) AS B3, SUM(IF(c2 = 'B4', c3, 0)) AS B4, SUM(IF(c2 = 'total', c3, 0)) AS total FROM (SELECT c1, IFNULL(c2, 'total') AS c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji GROUP BY c1, c2 HAVING c1 IS NOT NULL union SELECT c1, 'total' as c2, SUM(c3) AS c3 FROM tmysql_test_hanglietongji group by c1) A
?? 少了一个是因为上面的having要求c1 is not null,所以替换c1为NULL就没有了。
?
?? 下面看下oracle中怎么写,想要的效果如图:
???
?? 首先建表。
??
create table TSQL_TEST_HANGLIETONGJI ( ID NUMBER(4) not null, C1 VARCHAR2(2), C2 VARCHAR2(2), C3 NUMBER(4) ) ; alter table TSQL_TEST_HANGLIETONGJI add primary key (ID); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (1, 'A1', 'B1', 9); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (2, 'A2', 'B1', 7); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (3, 'A3', 'B1', 4); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (4, 'A4', 'B1', 2); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (5, 'A1', 'B2', 2); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (6, 'A2', 'B2', 9); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (7, 'A3', 'B2', 8); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (8, 'A4', 'B2', 5); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (9, 'A1', 'B3', 1); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (10, 'A2', 'B3', 8); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (11, 'A3', 'B3', 8); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (12, 'A4', 'B3', 6); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (13, 'A1', 'B4', 8); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (14, 'A2', 'B4', 2); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (15, 'A3', 'B4', 6); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (16, 'A4', 'B4', 9); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (17, 'A1', 'B4', 3); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (18, 'A2', 'B4', 5); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (19, 'A3', 'B4', 2); insert into TSQL_TEST_HANGLIETONGJI (ID, C1, C2, C3) values (20, 'A4', 'B4', 5);
?? 最简单的写法是:
???
select c1, sum(decode(c2,'B1', C3, 0)) AS B1, sum(decode(c2 ,'B2', C3, 0)) AS B2, sum(decode(c2 ,'B3', C3, 0)) AS B3, sum(decode(c2 ,'B4', C3, 0)) AS B4, SUM(C3) AS TOTAL from tsql_test_hanglietongji group by C1 UNION SELECT 'TOTAL', sum(decode(c2 ,'B1', C3, 0)) AS B1, sum(decode(c2 ,'B2', C3, 0)) AS B2, sum(decode(c2 ,'B3', C3, 0)) AS B3, sum(decode(c2 ,'B4', C3, 0)) AS B4, SUM(C3) FROM tsql_test_hanglietongji
?? 然后使用rollup函数简化。
???
SELECT nvl(c1, 'total') AS total, SUM(decode(c2, 'B1', c3, 0)) AS B1, SUM(decode(c2, 'B2', c3, 0)) AS B2, SUM(decode(c2, 'B3', c3, 0)) AS B3, SUM(decode(c2, 'B4', c3, 0)) AS B4, sum(c3) AS total FROM tsql_test_hanglietongji GROUP BY ROLLUP(c1)
???也可以这么写:
??
SELECT nvl(c1, 'total') AS total_c, SUM(decode(c2, 'B1', c3, 0)) AS B1, SUM(decode(c2, 'B2', c3, 0)) AS B2, SUM(decode(c2, 'B3', c3, 0)) AS B3, SUM(decode(c2, 'B4', c3, 0)) AS B4, SUM(decode(c2, 'total', c3, 0)) AS total_r FROM (SELECT c1, nvl(c2, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY ROLLUP(c1, c2) HAVING c1 IS NOT NULL) A GROUP BY ROLLUP(c1);
? rollup和普通sql替换上面也说了,举个例子:
??
SELECT c1, nvl(c2, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY ROLLUP(c1, c2)
? 效果是:
??
?? 普通sql写法是:
??
SELECT c1, nvl(c2, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1, c2 union all SELECT c1, nvl(null, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1 union all SELECT NULL, 'total' AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji order by 1, 2
??? 细心的朋友也许注意到了,第二个union all带了order by 1,2而上面的mysql没有带order by,这和mysql和oracle对NULL的默认排序规则有关。
??? 使用普通sql重写rollup为:
???
SELECT nvl(c1, 'total') AS total_c, SUM(decode(c2, 'B1', c3, 0)) AS B1, SUM(decode(c2, 'B2', c3, 0)) AS B2, SUM(decode(c2, 'B3', c3, 0)) AS B3, SUM(decode(c2, 'B4', c3, 0)) AS B4, SUM(decode(c2, 'total', c3, 0)) AS total_r FROM (SELECT c1, nvl(c2, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1, c2 HAVING c1 IS NOT NULL union all SELECT c1, nvl(null, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1 HAVING c1 IS NOT NULL) A GROUP BY c1 union all SELECT nvl(null, 'total') AS total_c, SUM(decode(c2, 'B1', c3, 0)) AS B1, SUM(decode(c2, 'B2', c3, 0)) AS B2, SUM(decode(c2, 'B3', c3, 0)) AS B3, SUM(decode(c2, 'B4', c3, 0)) AS B4, SUM(decode(c2, 'total', c3, 0)) AS total_r FROM (SELECT c1, nvl(c2, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1, c2 HAVING c1 IS NOT NULL union all SELECT c1, nvl(null, 'total') AS c2, SUM(c3) AS c3 FROM tsql_test_hanglietongji GROUP BY c1 HAVING c1 IS NOT NULL) A order by 1
?? 这里也排除了c1 is null的情况。
??? 通过上面的对比,发现oracle和mysql的rollup非常相似,对rollup函数感兴趣的朋友请仔细搜索rollup学习。
??? 到这里该结束了,有任何意见请留言,如文中sql有错误也请指出,谢谢。
??? 全文完。
?
?
??
?
?
?
?
?
???
?

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.