关于数据库的一些笔记
- 数据库分类
- 1. Relational Databases(关系型数据库)
- 一些默认规则
- 选择要使用的数据库语句
- 1.Retrieving Data(查询数据)
- 创建数据库和表
- ①.查询语句
- ②.条件语句WHERE
- ③.IN运算符
- ④.BETWEEN运算符
- ⑤.LIKE运算符
- REGEXP正则表达式
- ⑥.IS NULL运算符
- ⑦.ORDER BY运算符
- ⑧.LIMIT运算符
- 2.内连接
- 1.自连接
- 2.多表连接
- 3.复合条件查询
- 4.隐式连接语法
- 3.外连接
- 1.多表外连接
- 2.NoSQL
- 视频课程推荐
数据库分类
关系型数据库:Relational Databases
非关系型数据库:NoSQL
1. Relational Databases(关系型数据库)
在关系型数据库中,把数据存储在利用关系互相链接的表中
一些默认规则
因为mysql是不区分大小写的,所以默认规定关键字用大写,其余都用小写。这样比较规范(看着舒服)
一些关键字:
USE
FROM
WHERE
ORDER BY(排序)
AS(起别名)
DISTINCT(去重)
LIMIT(限制)
注释语句:
#【需要注释的话】
选择要使用的数据库语句
USE [数据库名称] ;
1.Retrieving Data(查询数据)
创建数据库和表
提供一个创造数据库和表的sql,如下
可以复制粘贴到SQLyog使用
#创建一个数据库sql_invoicing
DROP DATABASE IF EXISTS `sql_invoicing`;
CREATE DATABASE `sql_invoicing`;
USE `sql_invoicing`;
SET NAMES utf8 ;
SET character_set_client = utf8mb4 ;
#创建一个表payment_methods
CREATE TABLE `payment_methods` (
`payment_method_id` TINYINT(4) NOT NULL AUTO_INCREMENT,
`name` VARCHAR(50) NOT NULL,
PRIMARY KEY (`payment_method_id`)
) ENGINE=INNODB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `payment_methods` VALUES (1,'Credit Card');
INSERT INTO `payment_methods` VALUES (2,'Cash');
INSERT INTO `payment_methods` VALUES (3,'PayPal');
INSERT INTO `payment_methods` VALUES (4,'Wire Transfer');
#创建一个表clients
CREATE TABLE `clients` (
`client_id` INT(11) NOT NULL,
`name` VARCHAR(50) NOT NULL,
`address` VARCHAR(50) NOT NULL,
`city` VARCHAR(50) NOT NULL,
`state` CHAR(2) NOT NULL,
`phone` VARCHAR(50) DEFAULT NULL,
PRIMARY KEY (`client_id`)
) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `clients` VALUES (1,'Vinte','3 Nevada Parkway','Syracuse','NY','315-252-7305');
INSERT INTO `clients` VALUES (2,'Myworks','34267 Glendale Parkway','Huntington','WV','304-659-1170');
INSERT INTO `clients` VALUES (3,'Yadel','096 Pawling Parkway','San Francisco','CA','415-144-6037');
INSERT INTO `clients` VALUES (4,'Kwideo','81674 Westerfield Circle','Waco','TX','254-750-0784');
INSERT INTO `clients` VALUES (5,'Topiclounge','0863 Farmco Road','Portland','OR','971-888-9129');
#创建一个表invoices
CREATE TABLE `invoices` (
`invoice_id` INT(11) NOT NULL,
`number` VARCHAR(50) NOT NULL,
`client_id` INT(11) NOT NULL,
`invoice_total` DECIMAL(9,2) NOT NULL,
`payment_total` DECIMAL(9,2) NOT NULL DEFAULT '0.00',
`invoice_date` DATE NOT NULL,
`due_date` DATE NOT NULL,
`payment_date` DATE DEFAULT NULL,
PRIMARY KEY (`invoice_id`),
KEY `FK_client_id` (`client_id`),
CONSTRAINT `FK_client_id` FOREIGN KEY (`client_id`) REFERENCES `clients` (`client_id`) ON DELETE RESTRICT ON UPDATE CASCADE
) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `invoices` VALUES (1,'91-953-3396',2,101.79,0.00,'2019-03-09','2019-03-29',NULL);
INSERT INTO `invoices` VALUES (2,'03-898-6735',5,175.32,8.18,'2019-06-11','2019-07-01','2019-02-12');
INSERT INTO `invoices` VALUES (3,'20-228-0335',5,147.99,0.00,'2019-07-31','2019-08-20',NULL);
INSERT INTO `invoices` VALUES (4,'56-934-0748',3,152.21,0.00,'2019-03-08','2019-03-28',NULL);
INSERT INTO `invoices` VALUES (5,'87-052-3121',5,169.36,0.00,'2019-07-18','2019-08-07',NULL);
INSERT INTO `invoices` VALUES (6,'75-587-6626',1,157.78,74.55,'2019-01-29','2019-02-18','2019-01-03');
INSERT INTO `invoices` VALUES (7,'68-093-9863',3,133.87,0.00,'2019-09-04','2019-09-24',NULL);
INSERT INTO `invoices` VALUES (8,'78-145-1093',1,189.12,0.00,'2019-05-20','2019-06-09',NULL);
INSERT INTO `invoices` VALUES (9,'77-593-0081',5,172.17,0.00,'2019-07-09','2019-07-29',NULL);
INSERT INTO `invoices` VALUES (10,'48-266-1517',1,159.50,0.00,'2019-06-30','2019-07-20',NULL);
INSERT INTO `invoices` VALUES (11,'20-848-0181',3,126.15,0.03,'2019-01-07','2019-01-27','2019-01-11');
INSERT INTO `invoices` VALUES (13,'41-666-1035',5,135.01,87.44,'2019-06-25','2019-07-15','2019-01-26');
INSERT INTO `invoices` VALUES (15,'55-105-9605',3,167.29,80.31,'2019-11-25','2019-12-15','2019-01-15');
INSERT INTO `invoices` VALUES (16,'10-451-8824',1,162.02,0.00,'2019-03-30','2019-04-19',NULL);
INSERT INTO `invoices` VALUES (17,'33-615-4694',3,126.38,68.10,'2019-07-30','2019-08-19','2019-01-15');
INSERT INTO `invoices` VALUES (18,'52-269-9803',5,180.17,42.77,'2019-05-23','2019-06-12','2019-01-08');
INSERT INTO `invoices` VALUES (19,'83-559-4105',1,134.47,0.00,'2019-11-23','2019-12-13',NULL);
#创建一个表payments
CREATE TABLE `payments` (
`payment_id` INT(11) NOT NULL AUTO_INCREMENT,
`client_id` INT(11) NOT NULL,
`invoice_id` INT(11) NOT NULL,
`date` DATE NOT NULL,
`amount` DECIMAL(9,2) NOT NULL,
`payment_method` TINYINT(4) NOT NULL,
PRIMARY KEY (`payment_id`),
KEY `fk_client_id_idx` (`client_id`),
KEY `fk_invoice_id_idx` (`invoice_id`),
KEY `fk_payment_payment_method_idx` (`payment_method`),
CONSTRAINT `fk_payment_client` FOREIGN KEY (`client_id`) REFERENCES `clients` (`client_id`) ON UPDATE CASCADE,
CONSTRAINT `fk_payment_invoice` FOREIGN KEY (`invoice_id`) REFERENCES `invoices` (`invoice_id`) ON UPDATE CASCADE,
CONSTRAINT `fk_payment_payment_method` FOREIGN KEY (`payment_method`) REFERENCES `payment_methods` (`payment_method_id`)
) ENGINE=INNODB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `payments` VALUES (1,5,2,'2019-02-12',8.18,1);
INSERT INTO `payments` VALUES (2,1,6,'2019-01-03',74.55,1);
INSERT INTO `payments` VALUES (3,3,11,'2019-01-11',0.03,1);
INSERT INTO `payments` VALUES (4,5,13,'2019-01-26',87.44,1);
INSERT INTO `payments` VALUES (5,3,15,'2019-01-15',80.31,1);
INSERT INTO `payments` VALUES (6,3,17,'2019-01-15',68.10,1);
INSERT INTO `payments` VALUES (7,5,18,'2019-01-08',32.77,1);
INSERT INTO `payments` VALUES (8,5,18,'2019-01-08',10.00,2);
DROP DATABASE IF EXISTS `sql_store`;
CREATE DATABASE `sql_store`;
USE `sql_store`;
CREATE TABLE `products` (
`product_id` INT(11) NOT NULL AUTO_INCREMENT,
`name` VARCHAR(50) NOT NULL,
`quantity_in_stock` INT(11) NOT NULL,
`unit_price` DECIMAL(4,2) NOT NULL,
PRIMARY KEY (`product_id`)
) ENGINE=INNODB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `products` VALUES (1,'Foam Dinner Plate',70,1.21);
INSERT INTO `products` VALUES (2,'Pork - Bacon,back Peameal',49,4.65);
INSERT INTO `products` VALUES (3,'Lettuce - Romaine, Heart',38,3.35);
INSERT INTO `products` VALUES (4,'Brocolinni - Gaylan, Chinese',90,4.53);
INSERT INTO `products` VALUES (5,'Sauce - Ranch Dressing',94,1.63);
INSERT INTO `products` VALUES (6,'Petit Baguette',14,2.39);
INSERT INTO `products` VALUES (7,'Sweet Pea Sprouts',98,3.29);
INSERT INTO `products` VALUES (8,'Island Oasis - Raspberry',26,0.74);
INSERT INTO `products` VALUES (9,'Longan',67,2.26);
INSERT INTO `products` VALUES (10,'Broom - Push',6,1.09);
CREATE TABLE `shippers` (
`shipper_id` SMALLINT(6) NOT NULL AUTO_INCREMENT,
`name` VARCHAR(50) NOT NULL,
PRIMARY KEY (`shipper_id`)
) ENGINE=INNODB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `shippers` VALUES (1,'Hettinger LLC');
INSERT INTO `shippers` VALUES (2,'Schinner-Predovic');
INSERT INTO `shippers` VALUES (3,'Satterfield LLC');
INSERT INTO `shippers` VALUES (4,'Mraz, Renner and Nolan');
INSERT INTO `shippers` VALUES (5,'Waters, Mayert and Prohaska');
CREATE TABLE `customers` (
`customer_id` INT(11) NOT NULL AUTO_INCREMENT,
`first_name` VARCHAR(50) NOT NULL,
`last_name` VARCHAR(50) NOT NULL,
`birth_date` DATE DEFAULT NULL,
`phone` VARCHAR(50) DEFAULT NULL,
`address` VARCHAR(50) NOT NULL,
`city` VARCHAR(50) NOT NULL,
`state` CHAR(2) NOT NULL,
`points` INT(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`customer_id`)
) ENGINE=INNODB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `customers` VALUES (1,'Babara','MacCaffrey','1986-03-28','781-932-9754','0 Sage Terrace','Waltham','MA',2273);
INSERT INTO `customers` VALUES (2,'Ines','Brushfield','1986-04-13','804-427-9456','14187 Commercial Trail','Hampton','VA',947);
INSERT INTO `customers` VALUES (3,'Freddi','Boagey','1985-02-07','719-724-7869','251 Springs Junction','Colorado Springs','CO',2967);
INSERT INTO `customers` VALUES (4,'Ambur','Roseburgh','1974-04-14','407-231-8017','30 Arapahoe Terrace','Orlando','FL',457);
INSERT INTO `customers` VALUES (5,'Clemmie','Betchley','1973-11-07',NULL,'5 Spohn Circle','Arlington','TX',3675);
INSERT INTO `customers` VALUES (6,'Elka','Twiddell','1991-09-04','312-480-8498','7 Manley Drive','Chicago','IL',3073);
INSERT INTO `customers` VALUES (7,'Ilene','Dowson','1964-08-30','615-641-4759','50 Lillian Crossing','Nashville','TN',1672);
INSERT INTO `customers` VALUES (8,'Thacher','Naseby','1993-07-17','941-527-3977','538 Mosinee Center','Sarasota','FL',205);
INSERT INTO `customers` VALUES (9,'Romola','Rumgay','1992-05-23','559-181-3744','3520 Ohio Trail','Visalia','CA',1486);
INSERT INTO `customers` VALUES (10,'Levy','Mynett','1969-10-13','404-246-3370','68 Lawn Avenue','Atlanta','GA',796);
CREATE TABLE `order_statuses` (
`order_status_id` TINYINT(4) NOT NULL,
`name` VARCHAR(50) NOT NULL,
PRIMARY KEY (`order_status_id`)
) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `order_statuses` VALUES (1,'Processed');
INSERT INTO `order_statuses` VALUES (2,'Shipped');
INSERT INTO `order_statuses` VALUES (3,'Delivered');
CREATE TABLE `orders` (
`order_id` INT(11) NOT NULL AUTO_INCREMENT,
`customer_id` INT(11) NOT NULL,
`order_date` DATE NOT NULL,
`status` TINYINT(4) NOT NULL DEFAULT '1',
`comments` VARCHAR(2000) DEFAULT NULL,
`shipped_date` DATE DEFAULT NULL,
`shipper_id` SMALLINT(6) DEFAULT NULL,
PRIMARY KEY (`order_id`),
KEY `fk_orders_customers_idx` (`customer_id`),
KEY `fk_orders_shippers_idx` (`shipper_id`),
KEY `fk_orders_order_statuses_idx` (`status`),
CONSTRAINT `fk_orders_customers` FOREIGN KEY (`customer_id`) REFERENCES `customers` (`customer_id`) ON UPDATE CASCADE,
CONSTRAINT `fk_orders_order_statuses` FOREIGN KEY (`status`) REFERENCES `order_statuses` (`order_status_id`) ON UPDATE CASCADE,
CONSTRAINT `fk_orders_shippers` FOREIGN KEY (`shipper_id`) REFERENCES `shippers` (`shipper_id`) ON UPDATE CASCADE
) ENGINE=INNODB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `orders` VALUES (1,6,'2019-01-30',1,NULL,NULL,NULL);
INSERT INTO `orders` VALUES (2,7,'2018-08-02',2,NULL,'2018-08-03',4);
INSERT INTO `orders` VALUES (3,8,'2017-12-01',1,NULL,NULL,NULL);
INSERT INTO `orders` VALUES (4,2,'2017-01-22',1,NULL,NULL,NULL);
INSERT INTO `orders` VALUES (5,5,'2017-08-25',2,'','2017-08-26',3);
INSERT INTO `orders` VALUES (6,10,'2018-11-18',1,'Aliquam erat volutpat. In congue.',NULL,NULL);
INSERT INTO `orders` VALUES (7,2,'2018-09-22',2,NULL,'2018-09-23',4);
INSERT INTO `orders` VALUES (8,5,'2018-06-08',1,'Mauris enim leo, rhoncus sed, vestibulum sit amet, cursus id, turpis.',NULL,NULL);
INSERT INTO `orders` VALUES (9,10,'2017-07-05',2,'Nulla mollis molestie lorem. Quisque ut erat.','2017-07-06',1);
INSERT INTO `orders` VALUES (10,6,'2018-04-22',2,NULL,'2018-04-23',2);
CREATE TABLE `order_items` (
`order_id` INT(11) NOT NULL AUTO_INCREMENT,
`product_id` INT(11) NOT NULL,
`quantity` INT(11) NOT NULL,
`unit_price` DECIMAL(4,2) NOT NULL,
PRIMARY KEY (`order_id`,`product_id`),
KEY `fk_order_items_products_idx` (`product_id`),
CONSTRAINT `fk_order_items_orders` FOREIGN KEY (`order_id`) REFERENCES `orders` (`order_id`) ON UPDATE CASCADE,
CONSTRAINT `fk_order_items_products` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON UPDATE CASCADE
) ENGINE=INNODB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `order_items` VALUES (1,4,4,3.74);
INSERT INTO `order_items` VALUES (2,1,2,9.10);
INSERT INTO `order_items` VALUES (2,4,4,1.66);
INSERT INTO `order_items` VALUES (2,6,2,2.94);
INSERT INTO `order_items` VALUES (3,3,10,9.12);
INSERT INTO `order_items` VALUES (4,3,7,6.99);
INSERT INTO `order_items` VALUES (4,10,7,6.40);
INSERT INTO `order_items` VALUES (5,2,3,9.89);
INSERT INTO `order_items` VALUES (6,1,4,8.65);
INSERT INTO `order_items` VALUES (6,2,4,3.28);
INSERT INTO `order_items` VALUES (6,3,4,7.46);
INSERT INTO `order_items` VALUES (6,5,1,3.45);
INSERT INTO `order_items` VALUES (7,3,7,9.17);
INSERT INTO `order_items` VALUES (8,5,2,6.94);
INSERT INTO `order_items` VALUES (8,8,2,8.59);
INSERT INTO `order_items` VALUES (9,6,5,7.28);
INSERT INTO `order_items` VALUES (10,1,10,6.01);
INSERT INTO `order_items` VALUES (10,9,9,4.28);
CREATE TABLE `sql_store`.`order_item_notes` (
`note_id` INT NOT NULL,
`order_Id` INT NOT NULL,
`product_id` INT NOT NULL,
`note` VARCHAR(255) NOT NULL,
PRIMARY KEY (`note_id`));
INSERT INTO `order_item_notes` (`note_id`, `order_Id`, `product_id`, `note`) VALUES ('1', '1', '2', 'first note');
INSERT INTO `order_item_notes` (`note_id`, `order_Id`, `product_id`, `note`) VALUES ('2', '1', '2', 'second note');
DROP DATABASE IF EXISTS `sql_hr`;
CREATE DATABASE `sql_hr`;
USE `sql_hr`;
CREATE TABLE `offices` (
`office_id` INT(11) NOT NULL,
`address` VARCHAR(50) NOT NULL,
`city` VARCHAR(50) NOT NULL,
`state` VARCHAR(50) NOT NULL,
PRIMARY KEY (`office_id`)
) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `offices` VALUES (1,'03 Reinke Trail','Cincinnati','OH');
INSERT INTO `offices` VALUES (2,'5507 Becker Terrace','New York City','NY');
INSERT INTO `offices` VALUES (3,'54 Northland Court','Richmond','VA');
INSERT INTO `offices` VALUES (4,'08 South Crossing','Cincinnati','OH');
INSERT INTO `offices` VALUES (5,'553 Maple Drive','Minneapolis','MN');
INSERT INTO `offices` VALUES (6,'23 North Plaza','Aurora','CO');
INSERT INTO `offices` VALUES (7,'9658 Wayridge Court','Boise','ID');
INSERT INTO `offices` VALUES (8,'9 Grayhawk Trail','New York City','NY');
INSERT INTO `offices` VALUES (9,'16862 Westend Hill','Knoxville','TN');
INSERT INTO `offices` VALUES (10,'4 Bluestem Parkway','Savannah','GA');
CREATE TABLE `employees` (
`employee_id` INT(11) NOT NULL,
`first_name` VARCHAR(50) NOT NULL,
`last_name` VARCHAR(50) NOT NULL,
`job_title` VARCHAR(50) NOT NULL,
`salary` INT(11) NOT NULL,
`reports_to` INT(11) DEFAULT NULL,
`office_id` INT(11) NOT NULL,
PRIMARY KEY (`employee_id`),
KEY `fk_employees_offices_idx` (`office_id`),
KEY `fk_employees_employees_idx` (`reports_to`),
CONSTRAINT `fk_employees_managers` FOREIGN KEY (`reports_to`) REFERENCES `employees` (`employee_id`),
CONSTRAINT `fk_employees_offices` FOREIGN KEY (`office_id`) REFERENCES `offices` (`office_id`) ON UPDATE CASCADE
) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `employees` VALUES (37270,'Yovonnda','Magrannell','Executive Secretary',63996,NULL,10);
INSERT INTO `employees` VALUES (33391,'D\'arcy','Nortunen','Account Executive',62871,37270,1);
INSERT INTO `employees` VALUES (37851,'Sayer','Matterson','Statistician III',98926,37270,1);
INSERT INTO `employees` VALUES (40448,'Mindy','Crissil','Staff Scientist',94860,37270,1);
INSERT INTO `employees` VALUES (56274,'Keriann','Alloisi','VP Marketing',110150,37270,1);
INSERT INTO `employees` VALUES (63196,'Alaster','Scutchin','Assistant Professor',32179,37270,2);
INSERT INTO `employees` VALUES (67009,'North','de Clerc','VP Product Management',114257,37270,2);
INSERT INTO `employees` VALUES (67370,'Elladine','Rising','Social Worker',96767,37270,2);
INSERT INTO `employees` VALUES (68249,'Nisse','Voysey','Financial Advisor',52832,37270,2);
INSERT INTO `employees` VALUES (72540,'Guthrey','Iacopetti','Office Assistant I',117690,37270,3);
INSERT INTO `employees` VALUES (72913,'Kass','Hefferan','Computer Systems Analyst IV',96401,37270,3);
INSERT INTO `employees` VALUES (75900,'Virge','Goodrum','Information Systems Manager',54578,37270,3);
INSERT INTO `employees` VALUES (76196,'Mirilla','Janowski','Cost Accountant',119241,37270,3);
INSERT INTO `employees` VALUES (80529,'Lynde','Aronson','Junior Executive',77182,37270,4);
INSERT INTO `employees` VALUES (80679,'Mildrid','Sokale','Geologist II',67987,37270,4);
INSERT INTO `employees` VALUES (84791,'Hazel','Tarbert','General Manager',93760,37270,4);
INSERT INTO `employees` VALUES (95213,'Cole','Kesterton','Pharmacist',86119,37270,4);
INSERT INTO `employees` VALUES (96513,'Theresa','Binney','Food Chemist',47354,37270,5);
INSERT INTO `employees` VALUES (98374,'Estrellita','Daleman','Staff Accountant IV',70187,37270,5);
INSERT INTO `employees` VALUES (115357,'Ivy','Fearey','Structural Engineer',92710,37270,5);
DROP DATABASE IF EXISTS `sql_inventory`;
CREATE DATABASE `sql_inventory`;
USE `sql_inventory`;
CREATE TABLE `products` (
`product_id` INT(11) NOT NULL AUTO_INCREMENT,
`name` VARCHAR(50) NOT NULL,
`quantity_in_stock` INT(11) NOT NULL,
`unit_price` DECIMAL(4,2) NOT NULL,
PRIMARY KEY (`product_id`)
) ENGINE=INNODB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `products` VALUES (1,'Foam Dinner Plate',70,1.21);
INSERT INTO `products` VALUES (2,'Pork - Bacon,back Peameal',49,4.65);
INSERT INTO `products` VALUES (3,'Lettuce - Romaine, Heart',38,3.35);
INSERT INTO `products` VALUES (4,'Brocolinni - Gaylan, Chinese',90,4.53);
INSERT INTO `products` VALUES (5,'Sauce - Ranch Dressing',94,1.63);
INSERT INTO `products` VALUES (6,'Petit Baguette',14,2.39);
INSERT INTO `products` VALUES (7,'Sweet Pea Sprouts',98,3.29);
INSERT INTO `products` VALUES (8,'Island Oasis - Raspberry',26,0.74);
INSERT INTO `products` VALUES (9,'Longan',67,2.26);
INSERT INTO `products` VALUES (10,'Broom - Push',6,1.09);
①.查询语句
SELECT 字段1,字段2,… FORM 表名 WHERE [条件];
例如:
#*代表查询表中所有字段,customers是表名
SELECE * FROM customers;
#代表查询customers表中的customer_id、phone 字段
SELECT customer_id,phone FORM customers;
#*代表查询表中所有字段
SELECE *
FROM customers
#WHERE customer_id = '1'
#查询结果根据first_name字段排序
ORDER BY first_name;
#查询 last_name,first_name,points,和将points+10一列
SELECT last_name,first_name,points,points+10 AS discount
FROM customers;
#结果:
last_name | first_name | points | discount |
MacCaffrey | Babara | 2273 | 2283 |
Brushfield | Ines | 947 | 957 |
Boagey | Freddi | 2967 | 2977 |
Roseburgh | Ambur | 457 | 467 |
Betchley | Clemmie | 3675 | 3685 |
Twiddell | Elka | 3073 | 3083 |
Dowson | Ilene | 1672 | 1682 |
Naseby | Thacher | 205 | 215 |
Rumgay | Romola | 1486 | 1496 |
Mynett | Levy | 796 | 806 |
②.条件语句WHERE
WHERE 后面直接加条件1 ADN 条件2 OR 条件3
ADN :和
OR :或者
AND优先级高于OR
NOT:非
SELECT *
FROM customers
WHERE NOT state = 'va';
SELECT *
FROM customers
WHERE state <> 'va';
比较运算符:
> : 大于
>= : 大于等于
< : 小于
< =: 小于等于
!= : 不等于
<> : 不等于
例子:
SELECT *
FROM customers
WHERE birth_date > '1991-09-04' OR POINTS>1000 AND state = 'va';
#AND优先级高于OR
SELECT *
FROM customers
WHERE birth_date > '1991-09-04' OR (POINTS>1000 AND state = 'va');
③.IN运算符
SELECT *
FROM customers
WHERE state = 'VA'OR state = 'GA'OR state = 'FL'
#用in代替
SELECT *
FROM customers
WHERE state IN ('VA','GA','FL')
#加NOT实现不在这个集合的情况
SELECT *
FROM customers
WHERE state NOT IN ('VA','GA','FL')
④.BETWEEN运算符
BETWEEN 会包含临界值,也就是会=
SELECT *
FROM customers
WHERE points>=1000 AND points<=3000
#用BETWEEN代替
SELECT *
FROM customers
WHERE points BETWEEN 1000 AND 3000
#查询客人生日大于等于1990-1-1的并且小于2000-1-1
SELECT *
FROM customers
WHERE birth_date BETWEEN '1990-01-01' AND '2000-01-01'
⑤.LIKE运算符
%: 代表任意长度的任意字符
_ :代表单个字符
#查询last_name以b开头的所有顾客,且是不区分b的大小写的。
SELECT *
FROM customers
WHERE last_name LIKE 'b%'
#查询last_name含有b的所有顾客,且是不区分b的大小写的。
SELECT *
FROM customers
WHERE last_name LIKE '%b%'
#查询last_name以y结尾的所有顾客
SELECT *
FROM customers
WHERE last_name LIKE '%y'
#'_'为占位符,在这里查询长度为8的以y结尾的客户。只能查询到Betchley
#'_'7个
SELECT *
FROM customers
WHERE last_name LIKE '_______y'
#'_'为占位符,在这里查询长度为6的以b开头以y结尾的客户。只能查询到Boagey
#'_'4个
SELECT *
FROM customers
WHERE last_name LIKE 'b____y'
REGEXP正则表达式
REGEXP正则表达式
允许我们搜索更复杂的模式。
'^'表示字符串开头
'$'表示字符串末尾
'|'表示 逻辑or
[abcd] 表示匹配括号里任意举例的字符
[a-f] -表示一个范围
#与"%"对比如下
SELECT *
FROM customers
WHERE last_name LIKE '%field%'
#替换为正则表达式
SELECT *
FROM customers
WHERE last_name REGEXP 'field'
#'^'以开头,表示查询last_name以field开头的客户
SELECT *
FROM customers
WHERE last_name REGEXP '^field'
#'$'以结尾,表示查询last_name以field结尾的客户
SELECT *
FROM customers
WHERE last_name REGEXP 'field$'
#'|'查询last_name包含field或者max
SELECT *
FROM customers
WHERE last_name REGEXP 'field|mac'
#组合查询last_name包含filed 或 rose 或以mac开头的所有客户
#查询结果有MacCaffrey、Brushfield、Roseburgh
SELECT *
FROM customers
WHERE last_name REGEXP 'field|^mac|rose'
#查询lase_name包含ge\ie\re字符所有客户
#查询结果为:Boagey、Brushfield、MacCaffrey
SELECT *
FROM customers
WHERE last_name REGEXP '[gir]e'
#查询lase_name包含ae\be\ce~~ze字符所有客户
SELECT *
FROM customers
WHERE last_name REGEXP '[a-z]e'
#同样的查询包含ey\ed\eh字符
#查询结果为:Boagey、Betchley、MacCaffrey、Brushfield、Twiddell
SELECT *
FROM customers
WHERE last_name REGEXP 'e[ydh]'
⑥.IS NULL运算符
用来搜索缺失属性的数据
SELECT *
FROM customers
WHERE phone IS NULL
customer_id | first_name | last_name | birth_date | phone | address | city | state | points |
5 | Clemmie | Betchley | 1973-11-07 | null | 5 | Spohn Circle | Arlington | TX |
#相反查询
SELECT *
FROM customers
WHERE phone IS NOT NULL
⑦.ORDER BY运算符
可以用来排序
默认是升序
升序: ASC
降序: DESC
ORDER BY + 用来排序的字段
#用客户出生日期升序排序
SELECT *
FROM customers
ORDER BY birth_date
#用客户出生日期降序排序
SELECT *
FROM customers
ORDER BY birth_date DESC
#根据state降序排序,如果state一样则根据first_name升序排序
SELECT *
FROM customers
ORDER BY state DESC,first_name
⑧.LIMIT运算符
限定查询返回的记录
LIMIT永远放在最后
#跳过前面6条记录,查询后面三条记录
SELECT *
FROM customers
LIMIT 6,3
#查询积分最高的前三位顾客
SELECT *
FROM customers
ORDER BY points DESC
LIMIT 3
2.内连接
从多个表查询
关键词:INNER JOIN
JOIN默认就是内连接,可以省略INNER关键词
#起别名AS可以省略,一般取表格的缩写
USE sql_inventory;
#如果要查询的表不在当前数据库,可以加前缀
SELECT p.product_id,p.name,oi.quantity,oi.unit_price
FROM sql_store.order_items oi
JOIN products p
ON p.product_id = oi.product_id
1.自连接
自己连接自己,具体看下面例子
USE sql_hr;
SELECT
e.employee_id,
e.first_name,
m.first_name AS manager
FROM employees e
JOIN employees m
ON e.reports_to = m.employee_id;
2.多表连接
USE sql_store;
SELECT
o.order_id,
o.order_date,
c.first_name,
c.last_name,
os.name AS STATUS
FROM orders o
JOIN customers c ON o.customer_id=c.customer_id
JOIN order_statuses os ON os.order_status_id =o.status
USE sql_invoicing;
SELECT
p.date,
p.invoice_id,
p.amount,
c.name,
pm.name
FROM payments p
JOIN clients c ON c.client_id = p.client_id
JOIN payment_methods pm ON pm.payment_method_id = p.payment_method;
3.复合条件查询
使用多个条件连接两张表
SELECT *
FROM order_items oi
JOIN order_item_notes oin
ON oi.order_id = oin.order_Id
AND oi.product_id = oin.product_id;
4.隐式连接语法
#基础连接
SELECT *
FROM orders o
JOIN customers c
ON o.customer_id = c.customer_id;
#隐式连接
SELECT *
FROM orders o , customers c
WHERE o.customer_id = c.customer_id;
3.外连接
LEFT JOIN 左连接
RIGHT JOIN 右连接
都是属于外连接
#左连接,不管条件成不成立,左边表的数据都会查出来
SELECT
c.customer_id,
c.first_name,
o.order_id
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id
ORDER BY c.customer_id;
1.多表外连接
SELECT
c.customer_id,
c.first_name,
o.order_id,
sh.name
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id
LEFT JOIN shippers sh
ON o.shipper_id = sh.shipper_id
ORDER BY c.customer_id;
2.NoSQL
在非关系型数据库中,没有表或者关系,与关系型数据库有很大的区别。