一、数据库相关信息
/*
Navicat MySQL Data Transfer
Source Server : localhost_3306
Source Server Version : 50717
Source Host : localhost:3306
Source Database : bookshopping
Target Server Type : MYSQL
Target Server Version : 50717
File Encoding : 65001
Date: 2018-07-15 14:28:34
*/
SET FOREIGN_KEY_CHECKS=0;
1、 Table structure for orderitem
DROP TABLE IF EXISTS `orderitem`;
CREATE TABLE `orderitem` (
`order_id` varchar(100) NOT NULL DEFAULT '',
`product_id` varchar(100) NOT NULL DEFAULT '',
`buynum` int(11) DEFAULT NULL,
PRIMARY KEY (`order_id`,`product_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
2、-- Records of orderitem
INSERT INTO `orderitem` VALUES ('8866e1582d134e9d9ea9e012c179bb6c', '4980b4d457594058aec6578e36150a3e', '1');
INSERT INTO `orderitem` VALUES ('8866e1582d134e9d9ea9e012c179bb6c', '5627c1eb965a4f40a19d8f05c6a22046', '1');
INSERT INTO `orderitem` VALUES ('8866e1582d134e9d9ea9e012c179bb6c', 'a1f1225577314b06a83c9b136a7425a4', '1');
INSERT INTO `orderitem` VALUES ('b257669b55414ee3b7e97bc6b313d569', '5627c1eb965a4f40a19d8f05c6a22046', '1');
INSERT INTO `orderitem` VALUES ('b257669b55414ee3b7e97bc6b313d569', '985768cb298448ad9ec48b7fbe97a0fd', '2');
3、-- Table structure for orders
DROP TABLE IF EXISTS `orders`;
CREATE TABLE `orders` (
`id` varchar(100) NOT NULL,
`money` int(11) DEFAULT NULL,
`receiverinfo` varchar(255) DEFAULT NULL,
`paystate` int(11) DEFAULT NULL,
`ordertime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`user_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
4-、- Records of orders
INSERT INTO `orders` VALUES ('8866e1582d134e9d9ea9e012c179bb6c', '132', '', '0', '2018-07-12 17:31:11', '2');
INSERT INTO `orders` VALUES ('b257669b55414ee3b7e97bc6b313d569', '4477', '美国', '0', '2018-07-14 20:38:12', '2');
5、-- Table structure for products
-- ----------------------------
DROP TABLE IF EXISTS `products`;
CREATE TABLE `products` (
`id` varchar(100) NOT NULL,
`name` varchar(40) DEFAULT NULL,
`price` double DEFAULT NULL,
`category` varchar(40) DEFAULT NULL,
`pnum` int(11) DEFAULT NULL,
`imgurl` varchar(100) DEFAULT NULL,
`description` varchar(255) DEFAULT NULL,
`state` int(11) DEFAULT NULL,
`cbtime` date DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
6、-- Records of products
-- ----------------------------
INSERT INTO `products` VALUES ('43445230747f46f28e7346e4fad9512d', 'Python基础教程', '79', 'science', '10', 'http://localhost:8080/bookshopping/pic/18a5a7c822574f39b973043d40488f98.jpg', '人民邮电出版社出版的为IT爱好者铺路教材', '1', '2018-07-12');
INSERT INTO `products` VALUES ('46a96f7785fb40f7932e56c1885e5e9d', '2019张宇概率论与数理统计9讲', '56', 'study', '100', 'http://localhost:8080/bookshopping/pic/ad40d9bf1d7549f9a0d30a61a994e518.jpg', '考研概率论与数理统计复习教材', '1', '2018-07-01');
INSERT INTO `products` VALUES ('68d2adca6a664bdd988f1f561d26aa6f', '2019张宇线性代数9讲', '56', 'study', '100', 'http://localhost:8080/bookshopping/pic/c3031efa1c7b436484defa4000085954.jpg', '考研线性代数复习教材', '1', '2018-07-12');
INSERT INTO `products` VALUES ('6eb74d2a3cb04228a32f9b8f04b8ebec', '2019张宇高等数学18讲', '56', 'study', '100', 'http://localhost:8080/bookshopping/pic/300112335f564c7ba9e166f8453f8349.jpg', '考研高数复习教材', '1', '2018-07-01');
INSERT INTO `products` VALUES ('c8fd699d79af474cb6033b40afa8d8d1', '数据结构与算法分析——C语言版', '56', 'science', '20', 'http://localhost:8080/bookshopping/pic/30aff14184b5497b879d206bf3c0aadc.jpg', '里面包含了所有的经典算法', '1', '2018-07-12');
INSERT INTO `products` VALUES ('d190936611294aea92c92ffa9a98742f', '十天搞定考研英语', '12', 'study', '200', 'http://localhost:8080/bookshopping/pic/97c01bdcaf594a619572fc65a98ef6c3.jpg', '考研必考英语单词大全', '1', '2018-07-08');
INSERT INTO `products` VALUES ('e06d987713f7487d9b22db09ab24533d', '努力到无能为力，拼搏到感动自己', '66', 'literature', '18', 'http://localhost:8080/bookshopping/pic/5693e69f7cf64831b01a914352002ed2.jpg', '唤醒了无数的陷入深渊的孩子们', '1', '2018-07-12');
INSERT INTO `products` VALUES ('e7a0ca1576dc49af84e9045bfb943581', '新编考研英语阅读理解', '50', 'study', '36', 'http://localhost:8080/bookshopping/pic/6abfe9a78fcc4568a43db81b3fd022f4.jpg', '考研英语最棒教材', '1', '2018-07-12');
INSERT INTO `products` VALUES ('f3a5e00df88244b3bda3d137f844c2dc', '企业大数据处理', '67', 'science', '8', 'http://localhost:8080/bookshopping/pic/8dd93335af994624af5c6eb99cf47859.jpg', 'Spark、Druid、Flume与kafka应用实践', '1', '2017-07-06');
7-- Table structure for users
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(40) DEFAULT NULL,
`password` varchar(100) DEFAULT NULL,
`nickname` varchar(40) DEFAULT NULL,
`email` varchar(100) DEFAULT NULL,
`role` varchar(100) DEFAULT NULL,
`state` int(11) DEFAULT NULL,
`activecode` varchar(100) DEFAULT NULL,
`updatetime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
8-- Records of users
INSERT INTO `users` VALUES ('1', 'admin1', '202cb962ac59075b964b07152d234b70', 'admin', 'admin@admin.com', 'admin', '1', '82942dcaf7574ffb9a04dac07388470c', '2018-07-09 14:09:30');
INSERT INTO `users` VALUES ('2', 'root123', '202cb962ac59075b964b07152d234b70', 'root', 'root@root.com', 'user', '1', '83428f94214b4aa4aca2477de39c6c7b', '2018-07-12 16:36:00');
INSERT INTO `users` VALUES ('3', 'mengke', '202cb962ac59075b964b07152d234b70', 'mengke', 'mengkesunshine@163.com', 'user', '0', '393b054819b74975aa9be2d540b39240', '2018-07-15 10:22:39');