杨大伟在路上

大数据第23天-数据处理之查询-杨大伟

  1 cd /d D:\MyWork\MySQL\mysql-5.7.28-winx64\bin rem 目的是为了执行mysql.exe
  2 mysql -h127.0.0.1 -P3306 -uroot -p123456 rem 作用是为了让客户端能够正确的连接服务器
  3 mysql --host=127.0.0.1 --port=3306 --user=root --password=123456 world
  4 
  5 -- 查看服务器中有哪些数据库
  6 show databases;
  7 
  8 -- 创建新的数据库
  9 create database company;
 10 
 11 -- 切换工作数据库
 12 use company;
 13 
 14 -- 查看当前数据库中的表
 15 show tables;
 16 
 17 -- 导入.sql文件中的数据
 18 source d:/company.sql;
 19 
 20 -- 查看表中的数据
 21 select * from employees;
 22 
 23 -- 练习 : 创建world数据库, 并切换, 再导入world.sql文件中的数据到world库.
 24 create database world;
 25 
 26 use world;
 27 
 28 source d:/world.sql;
 29 
 30 -- 丢弃数据库
 31 drop database company;
 32 
 33 drop database world;
 34 
 35 -- 查看当前工作数据库
 36 select database();
 37 
 38 -- 查看当前工作数据库的版本
 39 select version();
 40 
 41 -- 查看服务器所有参数
 42 show variables;
 43 
 44 -- 和字符集设置相关的参数 : 
 45 character_set_client                                     | gbk
 46 character_set_connection                                 | gbk
 47 character_set_database                                   | utf8
 48 character_set_filesystem                                 | binary
 49 character_set_results                                    | gbk
 50 character_set_server                                     | utf8
 51 character_set_system                                     | utf8
 52 
 53 -- 如果client,connection和result的设置不是gbk, 必须执行以下语句
 54 
 55 -- 修改客户端编码
 56 set names gbk;
 57 
 58 数据库结构
 59     mysqld 服务器
 60         数据库1(目录形式)
 61             表1
 62                 数据(记录)1
 63                 数据(记录)2
 64                 数据(记录)3
 65                 ....
 66             表2 
 67             表3
 68             ....
 69             
 70         数据库2
 71         ......
 72         
 73 -- 查看表中数据
 74 select * from 表名; 
 75 
 76 -- 查看表结构
 77 describe employees;
 78 desc employees;
 79 
 80 +----------------+--------------+------+-----+---------+----------------+
 81 | Field          | Type         | Null | Key | Default | Extra          |
 82 +----------------+--------------+------+-----+---------+----------------+
 83 | employee_id    | int(6)       | NO   | PRI | NULL    | auto_increment |
 84 | first_name     | varchar(20)  | YES  |     | NULL    |                |
 85 | last_name      | varchar(25)  | YES  |     | NULL    |                |
 86 | email          | varchar(25)  | YES  |     | NULL    |                |
 87 | phone_number   | varchar(20)  | YES  |     | NULL    |                |
 88 | job_id         | varchar(10)  | YES  | MUL | NULL    |                |
 89 | salary         | double(10,2) | YES  |     | NULL    |                |
 90 | commission_pct | double(4,2)  | YES  |     | NULL    |                |
 91 | manager_id     | int(6)       | YES  |     | NULL    |                |
 92 | department_id  | int(4)       | YES  | MUL | NULL    |                |
 93 +----------------+--------------+------+-----+---------+----------------+
 94 
 95 create table customer(
 96     id int,
 97     name varchar(20),
 98     age int,
 99     phone varchar(15),
100     birthday date
101 );
102 
103 insert into customer (
104     id,
105     name,
106     age,
107     phone,
108     birthday
109 ) values (
110     1,
111     '张三',
112     30,
113     '134234234',
114     '1992-5-8'
115 );
116 
117 insert into customer (
118     id,
119     name,
120     age,
121     phone,
122     birthday
123 ) values (
124     2,
125     '李四',
126     40,
127     '1599234234',
128     '1991-5-8'
129 );
130 
131 insert into customer (
132     id,
133     name,
134     age,
135     phone,
136     birthday
137 ) values (
138     3,
139     '王五',
140     50,
141     '135234234',
142     '1995-11-8'
143 );
144 
145 -- 更新记录(修改数据)
146 -- 如果更新时不加where过滤, 会导致所有数据被修改
147 update customer set 
148     name = '某人',
149     age = 10;
150     
151 update customer set 
152     name = '张三',
153     age = 30
154 where 
155     id = 1;
156     
157 -- 删除记录
158 -- 如果没有where过滤, 会全部删除.
159 delete from customer;
160 
161 delete from customer 
162 where id = 2;
163 
164 
165 DML 数据操纵语言.
166 insert C
167 select R 
168 update U
169 delete D
170 
171 +----------------+---------------------------------------------------------------------------------------+------+-----+---------+-------+
172 | Field          | Type                                                                                  | Null | Key | Default | Extra |
173 +----------------+---------------------------------------------------------------------------------------+------+-----+---------+-------+
174 | Code           | char(3)   国家代码                                                                            | NO   | PRI |         |       |
175 | Name           | char(52)  国家名称                                                                    | NO   |     |         |       |
176 | Continent      | enum('Asia','Europe','North America','Africa','Oceania','Antarctica','South America') | NO   |     | Asia    |       |
177 | Region         | char(26)          地区                                                                    | NO   |     |         |       |
178 | SurfaceArea    | float(10,2)       国土面积m                                                                    | NO   |     | 0.00    |       |
179 | IndepYear      | smallint(6)       独立年                                                                   | YES  |     | NULL    |       |
180 | Population     | int(11)           国家人口                                                              | NO   |     | 0       |       |
181 | LifeExpectancy | float(3,1)        平均寿命                                                                    | YES  |     | NULL    |       |
182 | GNP            | float(10,2)       国民生产总值                                                                    | YES  |     | NULL    |       |
183 | GNPOld         | float(10,2)                                                                           | YES  |     | NULL    |       |
184 | LocalName      | char(45)                                                                              | NO   |     |         |       |
185 | GovernmentForm | char(45)          政府组织                                                                    | NO   |     |         |       |
186 | HeadOfState    | char(60)          领导人                                                                    | YES  |     | NULL    |       |
187 | Capital        | int(11)           首都                                                                    | YES  |     | NULL    |       |
188 | Code2          | char(2)                                                                                   | NO   |     |         |       |
189 +----------------+---------------------------------------------------------------------------------------+------+-----+---------+-------+
190 city
191 +-------------+----------+------+-----+---------+----------------+
192 | Field       | Type     | Null | Key | Default | Extra          |
193 +-------------+----------+------+-----+---------+----------------+
194 | ID          | int(11)  | NO   | PRI | NULL    | auto_increment |
195 | Name        | char(35) | NO   |     |         |                |
196 | CountryCode | char(3)  | NO   | MUL |         |                |
197 | District    | char(20) | NO   |     |         |                |
198 | Population  | int(11)  | NO   |     | 0       |                |
199 +-------------+----------+------+-----+---------+----------------+
200 SELECT *
201 FROM   departments;
202 
203 SELECT department_id, location_id
204 FROM   departments;
205 
206 select 
207     code,
208     name,
209     continent
210 from 
211     country;
212     
213 select 
214     continent,
215     name,
216     code
217 from 
218     country;
219 
220 SQL注意点 :     
221     SQL 语言大小写不敏感。 
222     SQL 可以写在一行或者多行
223     关键字不能被缩写也不能分行
224     各子句一般要分行写。
225     使用缩进提高语句的可读性。
226     
227 -- 查询国家的人口,名称和代码及首都.
228 select 
229     population,
230     name,
231     code,
232     capital
233 from 
234     country;
235 
236 -- AS用于给列起别名, AS关键字可以省略
237 SELECT last_name AS name, commission_pct comm
238 FROM   employees;
239 
240 -- 别名可以使用""包围, 目的是让它能原样显示或包含特殊的符号
241 select 
242     code 国家代码,
243     name,
244     continent as "国家 大洲"
245 from 
246     country;
247 
248 -- 过滤行 where 条件布尔 : 工作流程就是从基本表中测试每行数据, 都经过条件布尔测试一下, 如果结果为真留下, 为假则丢弃.     
249 SELECT employee_id, last_name, job_id, department_id
250 FROM   employees
251 WHERE  department_id = 90 ;
252 
253 -- 查询所有亚洲国家
254 select 
255     code,
256     population,
257     name
258 from 
259     country 
260 where 
261     continent = 'asia';
262     
263 -- 查询所有亚洲国家 , 下面的SQL是错误的, where中不可以使用列的别名, 因为where先执行.
264 select 
265     code,
266     population,
267     name,
268     continent cont
269 from 
270     country 
271 where 
272     cont = 'asia';
273     
274 执行顺序 : from => where => select 
275 
276 --查询所有中国城市的人口和名称和id号和国家代码, 给国家代码起别名, 尝试在where中使用别名.
277 select 
278     population,
279     name,
280     id,
281     countrycode code 
282 from 
283     city 
284 where 
285     countrycode = 'chn';
286 
287 -- between a and b --等效于salary >= a && salary <= 3500    
288 SELECT last_name, salary
289 FROM   employees
290 WHERE  salary BETWEEN 2500 AND 3500;
291 
292 -- id in(a, b, c) -- 等效于id = a || id = b || id = c 
293 SELECT employee_id, last_name, salary, manager_id
294 FROM   employees
295 WHERE  manager_id IN (100, 101, 201);
296 
297 select 
298     code,
299     continent,
300     name,
301     population
302 from 
303     country 
304 where 
305     name like 'china'; -- name = 'china' 如果模糊查询中的字符串没有通配符, 和=效果一样.
306     
307 SELECT    first_name
308 FROM     employees
309 WHERE    first_name LIKE 'S%';
310 
311 % 代表任意个任意字符
312 _ 代表一个任意字符
313 -- 查询国家名称中只要包含ch的都行
314 
315 select 
316     code,
317     population,
318     name,
319     continent 
320 from 
321     country 
322 where 
323     name like '%ch%'
324     
325 -- 名字中第3个和第4个是in的国家
326 select 
327     code,
328     population,
329     name,
330     continent 
331 from 
332     country 
333 where 
334     name like '__in%'
335     
336 -- 查询城市表中, 名称的第2个和3个字母是or的城市.
337 select 
338     id,
339     name,
340     countrycode 
341 from 
342     city 
343 where 
344     name like '_or%';
345     
346 -- 查看哪些国家没有首都
347 -- null和任意的比较运算, 结果一定是false, 处理null, 必须使用特殊的is来判断
348 -- null值在进行统计时会被自动忽略.
349 select 
350     code,
351     name,
352     continent,
353     capital
354 from 
355     country 
356 where 
357     capital = null;
358     
359 select 
360     code,
361     name,
362     continent,
363     capital
364 from 
365     country 
366 where 
367     capital is null;
368     
369 select 
370     code,
371     name,
372     continent,
373     capital
374 from 
375     country 
376 where 
377     capital is not null;
378 
379 -- 哪些国家尚未独立.
380 select 
381     name,
382     code,
383     indepYear
384 from 
385     country 
386 where 
387     indepYear is null;
388 
389 
390 SELECT 
391     employee_id, last_name, job_id, salary
392 FROM   employees
393 WHERE  
394         salary >=10000
395     AND    
396         job_id LIKE '%MAN%';
397 
398 
399 SELECT 
400     employee_id, last_name, job_id, salary
401 FROM   employees
402 WHERE  
403         salary >= 10000
404     OR     
405         job_id LIKE '%MAN%';
406 
407 -- 查询亚洲国家中人口大于5000万的国家.
408 select 
409     code,
410     name,
411     continent,
412     population
413 from 
414     country 
415 where 
416         continent = 'asia'
417     and 
418         population > 50000000;
419 
420 -- 查询中国的城市人口小于20万的城市.
421 select 
422     *
423 from 
424     city 
425 where 
426     countrycode = 'chn'
427     and 
428     population < 200000;
429     
430 -- 去重 distinct, 后面的列最好是有重复数据的
431 select 
432     distinct 
433         continent,
434         region
435 from 
436     country;
437     
438 -- 查看中国各有哪些不同的省.
439 select 
440     distinct district
441 from 
442     city 
443 where 
444     countrycode = 'chn';
445 
446 SELECT   last_name, job_id, department_id, salary
447 FROM     employees
448 ORDER BY salary asc;
449 
450 SELECT   last_name, job_id, department_id, salary
451 FROM     employees
452 ORDER BY salary desc;
453 
454 select 
455     code,
456     name,
457     population pop 
458 from 
459     country 
460 where 
461     continent = 'asia'
462 order by 
463     pop;
464 
465 order by中可以使用列的别名, 原因是它最后执行
466 
467 顺序 : from => where => select => order by 
468 
469 
470 SELECT last_name, department_id, salary
471 FROM   employees
472 ORDER BY department_id asc, salary DESC;
473 
474 -- 查询亚洲人口最少的国家
475 select 
476     code,
477     name,
478     continent,
479     population pop 
480 from 
481     country 
482 where 
483     continent = 'asia'
484 order by 
485     pop desc;
486 
487 -- 查询山东省人口最多的城市
488 select 
489     id,
490     name,
491     district,
492     population
493 from 
494     city 
495 where 
496         countrycode = 'chn'
497     and 
498         district = 'shandong'
499 order by 
500     population
501     
502 
503     
504 -- 多表联接 : 会产生笛卡尔集
505 -- 为了学习, 创建简单表
506 create table city2
507 select * from city where name='london';
508 +------+--------+-------------+----------+------------+
509 | ID   | Name   | CountryCode | District | Population |
510 +------+--------+-------------+----------+------------+
511 |  456 | London | GBR         | England  |    7285000 |
512 | 1820 | London | CAN         | Ontario  |     339917 |
513 +------+--------+-------------+----------+------------+
514 
515 create table country2
516 select * from country where code in('gbr', 'can');
517 +------+----------------+---------------+-----------------+-------------+-----------+------------+----------------+------------+------------+-------------
518 | Code | Name           | Continent     | Region          | SurfaceArea | IndepYear | Population | LifeExpectancy | GNP        | GNPOld     | LocalName
519 +------+----------------+---------------+-----------------+-------------+-----------+------------+----------------+------------+------------+-------------
520 | CAN  | Canada         | North America | North America   |  9970610.00 |      1867 |   31147000 |           79.4 |  598862.00 |  625626.00 | Canada
521 | GBR  | United Kingdom | Europe        | British Islands |   242900.00 |      1066 |   59623400 |           77.7 | 1378330.00 | 1296830.00 | United Kingd
522 +------+----------------+---------------+-----------------+-------------+-----------+------------+----------------+------------+------------+-------------
523 
524 select * from city2, country2; 
525 结果集中的绝大多数都是垃圾. 必须要过滤掉
526 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+--
527 | ID   | Name   | CountryCode | District | Population | Code | Name           | Continent     | Region          | SurfaceArea | IndepYear | Population | L
528 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+--
529 |  456 | London | GBR         | England  |    7285000 | CAN  | Canada         | North America | North America   |  9970610.00 |      1867 |   31147000 |
530 | 1820 | London | CAN         | Ontario  |     339917 | CAN  | Canada         | North America | North America   |  9970610.00 |      1867 |   31147000 |
531 |  456 | London | GBR         | England  |    7285000 | GBR  | United Kingdom | Europe        | British Islands |   242900.00 |      1066 |   59623400 |
532 | 1820 | London | CAN         | Ontario  |     339917 | GBR  | United Kingdom | Europe        | British Islands |   242900.00 |      1066 |   59623400 |
533 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+--
534 
535 select 
536     * 
537 from 
538     city2, 
539     country2
540 where 
541     countrycode = code;
542     
543 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+-
544 | ID   | Name   | CountryCode | District | Population | Code | Name           | Continent     | Region          | SurfaceArea | IndepYear | Population |
545 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+-
546 | 1820 | London | CAN         | Ontario  |     339917 | CAN  | Canada         | North America | North America   |  9970610.00 |      1867 |   31147000 |
547 |  456 | London | GBR         | England  |    7285000 | GBR  | United Kingdom | Europe        | British Islands |   242900.00 |      1066 |   59623400 |
548 +------+--------+-------------+----------+------------+------+----------------+---------------+-----------------+-------------+-----------+------------+-
549 
550 -- 下面的SQL是错误的, 因为列名模糊
551 select 
552     name,
553     population,
554     name,
555     continent,
556     population
557 from 
558     city2, 
559     country2
560 where 
561     countrycode = code;
562     
563 select 
564     city2.name as cityName,
565     city2.population cityPop,
566     country2.name countryName,
567     country2.continent,
568     country2.population countryPop
569 from 
570     city2, 
571     country2
572 where 
573     city2.countrycode = country2.code;
574     
575 -- 表名的使用也麻烦了. 给表起别名    
576 select 
577     ci.name as cityName,
578     ci.population cityPop,
579     co.name countryName,
580     co.continent,
581     co.population countryPop
582 from 
583     city2 as ci , 
584     country2 co 
585 where 
586     ci.countrycode = co.code;
587 
588 -- 表名一旦指定了别名, 原名就不可以使用了.
589 select 
590     city2.name as cityName,
591     city2.population cityPop,
592     country2.name countryName,
593     country2.continent,
594     country2.population countryPop
595 from 
596     city2 as ci, 
597     country2 as co 
598 where 
599     city2.countrycode = country2.code;
600     
601 -- 查询所有国家的名称和国家的首都的名称.
602 select 
603     co.name country,
604     ci.name captial,
605     co.population countryPop,
606     ci.population cityPop,
607     co.continent 
608 from 
609     country co,
610     city ci 
611 where 
612     co.capital = ci.id
613     
614 -- where中有多个条件.
615 select 
616     ci.name as cityName,
617     ci.population cityPop,
618     co.name countryName,
619     co.continent,
620     co.population countryPop
621 from 
622     city2 as ci , 
623     country2 co 
624 where 
625         ci.countrycode = co.code -- 联接条件, 比普通过滤更重要.
626     and 
627         ci.population > 1000000
628         
629 +----------+---------+----------------+-----------+------------+
630 | cityName | cityPop | countryName    | continent | countryPop |
631 +----------+---------+----------------+-----------+------------+
632 | London   | 7285000 | United Kingdom | Europe    |   59623400 |
633 +----------+---------+----------------+-----------+------------+
634 
635 SQL99标准中 内联接不要用,号来写, 而是使用专门的关键字join.... on 联接条件
636 select 
637     ci.name as cityName,
638     ci.population cityPop,
639     co.name countryName,
640     co.continent,
641     co.population countryPop
642 from 
643     city2 as ci 
644 inner join 
645     country2 co 
646 on 
647     ci.countrycode = co.code 
648 where 
649     ci.population > 1000000;
650     
651 -- on 和 where 效果相同, 但是下面的写法不推荐
652 select 
653     ci.name as cityName,
654     ci.population cityPop,
655     co.name countryName,
656     co.continent,
657     co.population countryPop
658 from 
659     city2 as ci 
660 inner join 
661     country2 co 
662 where 
663         ci.countrycode = co.code 
664     and 
665         ci.population > 1000000;
666     
667 -- on 和 where 效果相同, 但是下面的写法不推荐    
668 select 
669     ci.name as cityName,
670     ci.population cityPop,
671     co.name countryName,
672     co.continent,
673     co.population countryPop
674 from 
675     city2 as ci 
676 inner join 
677     country2 co 
678 on 
679         ci.countrycode = co.code 
680     and 
681         ci.population > 1000000;
682     
683 -- 最好的写法是下面的.    inner关键字可以省略
684 select 
685     ci.name as cityName,
686     ci.population cityPop,
687     co.name countryName,
688     co.continent,
689     co.population countryPop
690 from 
691     city2 as ci 
692 join 
693     country2 co 
694 on -- on后面只跟 联接条件 
695     ci.countrycode = co.code 
696 where -- where 后面只跟  普通行过滤
697     ci.population > 1000000;
698     
699 -- 查询所有亚洲和欧洲国家的首都, 使用SQL99
700 select 
701     co.name country,
702     co.continent,
703     ci.name capital
704 from 
705     country co 
706 join 
707     city ci 
708 on 
709     co.capital = ci.id 
710 where 
711     co.continent in('asia', 'europe');
712     
713 -- 查看所有国家名称和首都及官方语言
714 select 
715     co.name country,
716     co.continent,
717     ci.name capital,
718     cl.language
719 from 
720     country co 
721 join 
722     city ci 
723 on 
724     co.capital = ci.id 
725 join 
726     countrylanguage cl 
727 on 
728     cl.countrycode = co.code 
729 where 
730     cl.isofficial = 't';
731     
732 -- 查询简单表的国家及首都
733 -- 内联接的结果总是所有联接条件为真的记录. 为假的记录全部滤掉.
734 select 
735     co.name country,
736     ci.name capital,
737     ci.district
738 from 
739     country2 co 
740 join 
741     city2 ci 
742 on 
743     co.capital = ci.id;
744     
745     
746 -- 外联接可以保证某张表的数据完整, 即使联接条件为假, 也要保留数据
747 select 
748     co.name country,
749     ci.name capital,
750     ci.district
751 from 
752     country2 co 
753 left outer join 
754     city2 ci 
755 on 
756     co.capital = ci.id;
757     
758 select 
759     co.name country,
760     ci.name capital,
761     ci.district
762 from 
763     country2 co 
764 right outer join 
765     city2 ci 
766 on 
767     co.capital = ci.id;
768     
769 -- 查看所有国家名称和首都, 即使没有首都也要显示.
770 select 
771     co.name country,
772     co.continent,
773     ci.name capital
774 from 
775     country co 
776 left join 
777     city ci 
778 on 
779     co.capital = ci.id;
780 
781 -- 查询哪些国家没有首都
782 select 
783     co.name country,
784     co.continent,
785     ci.name capital
786 from 
787     country co 
788 left join 
789     city ci 
790 on 
791     co.capital = ci.id
792 where 
793     ci.name is null;
794     
795 // 伪代码
796 // 内联接
797 Set leftTable;
798 Set rightTable;
799 Set resultSet = new Set();
800 for (int i = 0; i < leftTable.length; i++) {
801     Row leftRow = leftTable[i];
802     for (int j = 0; j < rightTable.length; j++) {
803         Row rightRow = rightTable[j];
804         if (联接条件(leftRow, rightRow)) {
805             Row newRow = leftRow + rightRow;
806             resultSet.add(newRow);
807         }
808     }
809 }
810 
811 // 外联接 
812 Set leftTable;
813 Set rightTable;
814 Set resultSet = new Set();
815 for (int i = 0; i < leftTable.length; i++) {
816     Row leftRow = leftTable[i];
817     boolean flag = false;
818     for (int j = 0; j < rightTable.length; j++) {
819         Row rightRow = rightTable[j];
820         if (联接条件(leftRow, rightRow)) {
821             Row newRow = leftRow + rightRow;
822             resultSet.add(newRow);
823             flag = true; // 表明联接条件为真的记录保存起来
824         }
825     }
826     
827     if (!flag) {
828         Row newRow = leftRow + 空行(右表);
829         resultSet.add(newRow);
830     }
831 }
832 
833 -- 查询哪些国家没有官方语言
834 select 
835     co.name country,
836     cl.language,
837     cl.isofficial
838 from 
839     country co 
840 left join 
841     countrylanguage cl 
842 on 
843         co.code = cl.countrycode
844     and 
845         cl.isofficial = 'T'
846 where 
847     cl.isofficial is null
848     
849 -- 查询所有国家的首都和官方语言, 没有首都和官方语言的也要全部显示.
850 
851 -- 单行函数, 查询结果中对每一行都单独执行的函数
852 select
853     upper(name),
854     lower(continent)
855 from 
856     county;
857     
858 select 
859     concat(code, name),
860     substr(name, 3, 2)
861 from 
862     country;
863     
864 -- 把国家的代码和名称及大洲用@符号连接. 如 : CHN@China@asia 
865 select
866     concat(concat(concat(concat(code, '@'), name), '@'), continent)
867 from 
868     country;
869     
870 select
871     concat(code, '@', name, '@', continent)
872 from 
873     country;
874 
875 
876 -- 分组函数 : 作用于一组数据. 默认情况下虚表中的所有记录被当作一个组.
877 分组函数都是统计运算, 特点就是一组数据只能有一个结果. 结果也必须是所有数据处理完后才有的.
878 
879 max() 最大值 
880 min() 最小值 
881 avg() 平均值 
882 sum() 求和
883 count() 计数
884 
885 select 
886     max(population),
887     min(surfacearea)
888 from 
889     country ;
890 
891 
892 select 
893     -- name, 不可以再把普通的列放在这里
894     max(name),
895     max(population),
896     min(surfacearea)
897 from 
898     country ;
899 
900 -- 查询亚洲国家的平均人口
901 
902 -- 查询全球平均寿命最高和最低

 

posted on 2020-07-24 20:13  浪子逆行  阅读(128)  评论(0编辑  收藏  举报

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