mall商场第1天

前言

刚学完SSM框架，准备写一个稍微综合了这几个框架知识点的小型项目来练练手。这是慕课网上的一个项目：mmall网上商场，另外接口的设计方案也是现成给好的：mmall网上商场需求文档,最后是完成后的网上商场应用：最终的前台展示，后台展示。另外这个课程还有第二季的推出，主要加了tomcat集群的高并发内容，有时间做一下对技术水平应该提高还是蛮大的。

准备工作

• 创建数据表
  数据表也是这个项目课程提供好的，其实关于数据表的设计作为后端程序员还是需要学的，可能这个课程出于时间的考虑，很多东西都给准备好了。但是自己还是需要思考一下为什么要这样做的。
  下面是建表的sql文件，新建一个数据库，直接将文件的内容复制到navicat中执行查询操作即可完成表的创建。这里要注意的是每张表都有这两个字段：

create_time 用于记录创建的时间戳
update_time 用于记录更新的时间戳

/*
 Navicat Premium Data Transfer

 Source Server         : 182.92.82.103
 Source Server Type    : MySQL
 Source Server Version : 50173
 Source Host           : 182.92.82.103
 Source Database       : mmall

 Target Server Type    : MySQL
 Target Server Version : 50173
 File Encoding         : utf-8

 Date: 04/13/2017 22:04:18 PM
*/

SET NAMES utf8;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
--  Table structure for `mmall_cart`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_cart`;
CREATE TABLE `mmall_cart` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` int(11) NOT NULL,
  `product_id` int(11) DEFAULT NULL COMMENT '商品id',
  `quantity` int(11) DEFAULT NULL COMMENT '数量',
  `checked` int(11) DEFAULT NULL COMMENT '是否选择,1=已勾选,0=未勾选',
  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`),
  KEY `user_id_index` (`user_id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=146 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_cart`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_cart` VALUES ('126', '21', '26', '1', '1', '2017-04-13 21:27:06', '2017-04-13 21:27:06');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_category`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_category`;
CREATE TABLE `mmall_category` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '类别Id',
  `parent_id` int(11) DEFAULT NULL COMMENT '父类别id当id=0时说明是根节点,一级类别',
  `name` varchar(50) DEFAULT NULL COMMENT '类别名称',
  `status` tinyint(1) DEFAULT '1' COMMENT '类别状态1-正常,2-已废弃',
  `sort_order` int(4) DEFAULT NULL COMMENT '排序编号,同类展示顺序,数值相等则自然排序',
  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=100032 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_category`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_category` VALUES ('100001', '0', '家用电器', '1', null, '2017-03-25 16:46:00', '2017-03-25 16:46:00'), ('100002', '0', '数码3C', '1', null, '2017-03-25 16:46:21', '2017-03-25 16:46:21'), ('100003', '0', '服装箱包', '1', null, '2017-03-25 16:49:53', '2017-03-25 16:49:53'), ('100004', '0', '食品生鲜', '1', null, '2017-03-25 16:50:19', '2017-03-25 16:50:19'), ('100005', '0', '酒水饮料', '1', null, '2017-03-25 16:50:29', '2017-03-25 16:50:29'), ('100006', '100001', '冰箱', '1', null, '2017-03-25 16:52:15', '2017-03-25 16:52:15'), ('100007', '100001', '电视', '1', null, '2017-03-25 16:52:26', '2017-03-25 16:52:26'), ('100008', '100001', '洗衣机', '1', null, '2017-03-25 16:52:39', '2017-03-25 16:52:39'), ('100009', '100001', '空调', '1', null, '2017-03-25 16:52:45', '2017-03-25 16:52:45'), ('100010', '100001', '电热水器', '1', null, '2017-03-25 16:52:54', '2017-03-25 16:52:54'), ('100011', '100002', '电脑', '1', null, '2017-03-25 16:53:18', '2017-03-25 16:53:18'), ('100012', '100002', '手机', '1', null, '2017-03-25 16:53:27', '2017-03-25 16:53:27'), ('100013', '100002', '平板电脑', '1', null, '2017-03-25 16:53:35', '2017-03-25 16:53:35'), ('100014', '100002', '数码相机', '1', null, '2017-03-25 16:53:56', '2017-03-25 16:53:56'), ('100015', '100002', '3C配件', '1', null, '2017-03-25 16:54:07', '2017-03-25 16:54:07'), ('100016', '100003', '女装', '1', null, '2017-03-25 16:54:44', '2017-03-25 16:54:44'), ('100017', '100003', '帽子', '1', null, '2017-03-25 16:54:51', '2017-03-25 16:54:51'), ('100018', '100003', '旅行箱', '1', null, '2017-03-25 16:55:02', '2017-03-25 16:55:02'), ('100019', '100003', '手提包', '1', null, '2017-03-25 16:55:09', '2017-03-25 16:55:09'), ('100020', '100003', '保暖内衣', '1', null, '2017-03-25 16:55:18', '2017-03-25 16:55:18'), ('100021', '100004', '零食', '1', null, '2017-03-25 16:55:30', '2017-03-25 16:55:30'), ('100022', '100004', '生鲜', '1', null, '2017-03-25 16:55:37', '2017-03-25 16:55:37'), ('100023', '100004', '半成品菜', '1', null, '2017-03-25 16:55:47', '2017-03-25 16:55:47'), ('100024', '100004', '速冻食品', '1', null, '2017-03-25 16:55:56', '2017-03-25 16:55:56'), ('100025', '100004', '进口食品', '1', null, '2017-03-25 16:56:06', '2017-03-25 16:56:06'), ('100026', '100005', '白酒', '1', null, '2017-03-25 16:56:22', '2017-03-25 16:56:22'), ('100027', '100005', '红酒', '1', null, '2017-03-25 16:56:30', '2017-03-25 16:56:30'), ('100028', '100005', '饮料', '1', null, '2017-03-25 16:56:37', '2017-03-25 16:56:37'), ('100029', '100005', '调制鸡尾酒', '1', null, '2017-03-25 16:56:45', '2017-03-25 16:56:45'), ('100030', '100005', '进口洋酒', '1', null, '2017-03-25 16:57:05', '2017-03-25 16:57:05');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_order`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_order`;
CREATE TABLE `mmall_order` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '订单id',
  `order_no` bigint(20) DEFAULT NULL COMMENT '订单号',
  `user_id` int(11) DEFAULT NULL COMMENT '用户id',
  `shipping_id` int(11) DEFAULT NULL,
  `payment` decimal(20,2) DEFAULT NULL COMMENT '实际付款金额,单位是元,保留两位小数',
  `payment_type` int(4) DEFAULT NULL COMMENT '支付类型,1-在线支付',
  `postage` int(10) DEFAULT NULL COMMENT '运费,单位是元',
  `status` int(10) DEFAULT NULL COMMENT '订单状态:0-已取消-10-未付款，20-已付款，40-已发货，50-交易成功，60-交易关闭',
  `payment_time` datetime DEFAULT NULL COMMENT '支付时间',
  `send_time` datetime DEFAULT NULL COMMENT '发货时间',
  `end_time` datetime DEFAULT NULL COMMENT '交易完成时间',
  `close_time` datetime DEFAULT NULL COMMENT '交易关闭时间',
  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`),
  UNIQUE KEY `order_no_index` (`order_no`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=118 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_order`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_order` VALUES ('103', '1491753014256', '1', '25', '13998.00', '1', '0', '10', null, null, null, null, '2017-04-09 23:50:14', '2017-04-09 23:50:14'), ('104', '1491830695216', '1', '26', '13998.00', '1', '0', '10', null, null, null, null, '2017-04-10 21:24:55', '2017-04-10 21:24:55'), ('105', '1492089528889', '1', '29', '3299.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:18:48', '2017-04-13 21:18:48'), ('106', '1492090946105', '1', '29', '27894.00', '1', '0', '20', '2017-04-13 21:42:40', null, null, null, '2017-04-13 21:42:26', '2017-04-13 21:42:41'), ('107', '1492091003128', '1', '29', '8597.00', '1', '0', '20', '2017-04-13 21:43:38', null, null, null, '2017-04-13 21:43:23', '2017-04-13 21:43:38'), ('108', '1492091051313', '1', '29', '1999.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:11', '2017-04-13 21:44:11'), ('109', '1492091061513', '1', '29', '6598.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:21', '2017-04-13 21:44:21'), ('110', '1492091069563', '1', '29', '3299.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:29', '2017-04-13 21:44:29'), ('111', '1492091076073', '1', '29', '4299.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:36', '2017-04-13 21:44:36'), ('112', '1492091083720', '1', '29', '3299.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:43', '2017-04-13 21:44:43'), ('113', '1492091089794', '1', '29', '6999.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:49', '2017-04-13 21:44:49'), ('114', '1492091096400', '1', '29', '6598.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:44:56', '2017-04-13 21:44:56'), ('115', '1492091102371', '1', '29', '3299.00', '1', '0', '10', null, null, null, null, '2017-04-13 21:45:02', '2017-04-13 21:45:02'), ('116', '1492091110004', '1', '29', '8598.00', '1', '0', '40', '2017-04-13 21:55:16', '2017-04-13 21:55:31', null, null, '2017-04-13 21:45:09', '2017-04-13 21:55:31'), ('117', '1492091141269', '1', '29', '22894.00', '1', '0', '20', '2017-04-13 21:46:06', null, null, null, '2017-04-13 21:45:41', '2017-04-13 21:46:07');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_order_item`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_order_item`;
CREATE TABLE `mmall_order_item` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '订单子表id',
  `user_id` int(11) DEFAULT NULL,
  `order_no` bigint(20) DEFAULT NULL,
  `product_id` int(11) DEFAULT NULL COMMENT '商品id',
  `product_name` varchar(100) DEFAULT NULL COMMENT '商品名称',
  `product_image` varchar(500) DEFAULT NULL COMMENT '商品图片地址',
  `current_unit_price` decimal(20,2) DEFAULT NULL COMMENT '生成订单时的商品单价，单位是元,保留两位小数',
  `quantity` int(10) DEFAULT NULL COMMENT '商品数量',
  `total_price` decimal(20,2) DEFAULT NULL COMMENT '商品总价,单位是元,保留两位小数',
  `create_time` datetime DEFAULT NULL,
  `update_time` datetime DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `order_no_index` (`order_no`) USING BTREE,
  KEY `order_no_user_id_index` (`user_id`,`order_no`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=135 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_order_item`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_order_item` VALUES ('113', '1', '1491753014256', '26', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '6999.00', '2', '13998.00', '2017-04-09 23:50:14', '2017-04-09 23:50:14'), ('114', '1', '1491830695216', '26', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '6999.00', '2', '13998.00', '2017-04-10 21:24:55', '2017-04-10 21:24:55'), ('115', '1', '1492089528889', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:18:48', '2017-04-13 21:18:48'), ('116', '1', '1492090946105', '29', 'Haier/海尔HJ100-1HU1 10公斤滚筒洗衣机全自动带烘干家用大容量 洗烘一体', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg', '4299.00', '2', '8598.00', '2017-04-13 21:42:26', '2017-04-13 21:42:26'), ('117', '1', '1492090946105', '28', '4+64G送手环/Huawei/华为 nova 手机P9/P10plus青春', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg', '1999.00', '1', '1999.00', '2017-04-13 21:42:26', '2017-04-13 21:42:26'), ('118', '1', '1492090946105', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:42:26', '2017-04-13 21:42:26'), ('119', '1', '1492090946105', '26', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '6999.00', '2', '13998.00', '2017-04-13 21:42:26', '2017-04-13 21:42:26'), ('120', '1', '1492091003128', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '2', '6598.00', '2017-04-13 21:43:23', '2017-04-13 21:43:23'), ('121', '1', '1492091003128', '28', '4+64G送手环/Huawei/华为 nova 手机P9/P10plus青春', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg', '1999.00', '1', '1999.00', '2017-04-13 21:43:23', '2017-04-13 21:43:23'), ('122', '1', '1492091051313', '28', '4+64G送手环/Huawei/华为 nova 手机P9/P10plus青春', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg', '1999.00', '1', '1999.00', '2017-04-13 21:44:11', '2017-04-13 21:44:11'), ('123', '1', '1492091061513', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '2', '6598.00', '2017-04-13 21:44:21', '2017-04-13 21:44:21'), ('124', '1', '1492091069563', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:44:29', '2017-04-13 21:44:29'), ('125', '1', '1492091076073', '29', 'Haier/海尔HJ100-1HU1 10公斤滚筒洗衣机全自动带烘干家用大容量 洗烘一体', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg', '4299.00', '1', '4299.00', '2017-04-13 21:44:36', '2017-04-13 21:44:36'), ('126', '1', '1492091083720', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:44:43', '2017-04-13 21:44:43'), ('127', '1', '1492091089794', '26', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '6999.00', '1', '6999.00', '2017-04-13 21:44:49', '2017-04-13 21:44:49'), ('128', '1', '1492091096400', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '2', '6598.00', '2017-04-13 21:44:56', '2017-04-13 21:44:56'), ('129', '1', '1492091102371', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:45:02', '2017-04-13 21:45:02'), ('130', '1', '1492091110004', '29', 'Haier/海尔HJ100-1HU1 10公斤滚筒洗衣机全自动带烘干家用大容量 洗烘一体', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg', '4299.00', '2', '8598.00', '2017-04-13 21:45:09', '2017-04-13 21:45:09'), ('131', '1', '1492091141269', '26', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '6999.00', '1', '6999.00', '2017-04-13 21:45:41', '2017-04-13 21:45:41'), ('132', '1', '1492091141269', '27', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', '3299.00', '1', '3299.00', '2017-04-13 21:45:41', '2017-04-13 21:45:41'), ('133', '1', '1492091141269', '29', 'Haier/海尔HJ100-1HU1 10公斤滚筒洗衣机全自动带烘干家用大容量 洗烘一体', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg', '4299.00', '2', '8598.00', '2017-04-13 21:45:41', '2017-04-13 21:45:41'), ('134', '1', '1492091141269', '28', '4+64G送手环/Huawei/华为 nova 手机P9/P10plus青春', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg', '1999.00', '2', '3998.00', '2017-04-13 21:45:41', '2017-04-13 21:45:41');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_pay_info`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_pay_info`;
CREATE TABLE `mmall_pay_info` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` int(11) DEFAULT NULL COMMENT '用户id',
  `order_no` bigint(20) DEFAULT NULL COMMENT '订单号',
  `pay_platform` int(10) DEFAULT NULL COMMENT '支付平台:1-支付宝,2-微信',
  `platform_number` varchar(200) DEFAULT NULL COMMENT '支付宝支付流水号',
  `platform_status` varchar(20) DEFAULT NULL COMMENT '支付宝支付状态',
  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=61 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_pay_info`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_pay_info` VALUES ('53', '1', '1492090946105', '1', '2017041321001004300200116250', 'WAIT_BUYER_PAY', '2017-04-13 21:42:33', '2017-04-13 21:42:33'), ('54', '1', '1492090946105', '1', '2017041321001004300200116250', 'TRADE_SUCCESS', '2017-04-13 21:42:41', '2017-04-13 21:42:41'), ('55', '1', '1492091003128', '1', '2017041321001004300200116251', 'WAIT_BUYER_PAY', '2017-04-13 21:43:31', '2017-04-13 21:43:31'), ('56', '1', '1492091003128', '1', '2017041321001004300200116251', 'TRADE_SUCCESS', '2017-04-13 21:43:38', '2017-04-13 21:43:38'), ('57', '1', '1492091141269', '1', '2017041321001004300200116252', 'WAIT_BUYER_PAY', '2017-04-13 21:45:59', '2017-04-13 21:45:59'), ('58', '1', '1492091141269', '1', '2017041321001004300200116252', 'TRADE_SUCCESS', '2017-04-13 21:46:07', '2017-04-13 21:46:07'), ('59', '1', '1492091110004', '1', '2017041321001004300200116396', 'WAIT_BUYER_PAY', '2017-04-13 21:55:08', '2017-04-13 21:55:08'), ('60', '1', '1492091110004', '1', '2017041321001004300200116396', 'TRADE_SUCCESS', '2017-04-13 21:55:17', '2017-04-13 21:55:17');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_product`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_product`;
CREATE TABLE `mmall_product` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '商品id',
  `category_id` int(11) NOT NULL COMMENT '分类id,对应mmall_category表的主键',
  `name` varchar(100) NOT NULL COMMENT '商品名称',
  `subtitle` varchar(200) DEFAULT NULL COMMENT '商品副标题',
  `main_image` varchar(500) DEFAULT NULL COMMENT '产品主图,url相对地址',
  `sub_images` text COMMENT '图片地址,json格式,扩展用',
  `detail` text COMMENT '商品详情',
  `price` decimal(20,2) NOT NULL COMMENT '价格,单位-元保留两位小数',
  `stock` int(11) NOT NULL COMMENT '库存数量',
  `status` int(6) DEFAULT '1' COMMENT '商品状态.1-在售 2-下架 3-删除',
  `create_time` datetime DEFAULT NULL COMMENT '创建时间',
  `update_time` datetime DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=30 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_product`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_product` VALUES ('26', '100002', 'Apple iPhone 7 Plus (A1661) 128G 玫瑰金色 移动联通电信4G手机', 'iPhone 7，现更以红色呈现。', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg', '241997c4-9e62-4824-b7f0-7425c3c28917.jpeg,b6c56eb0-1748-49a9-98dc-bcc4b9788a54.jpeg,92f17532-1527-4563-aa1d-ed01baa0f7b2.jpeg,3adbe4f7-e374-4533-aa79-cc4a98c529bf.jpeg', '<p><img alt=\"10000.jpg\" src=\"http://img.happymmall.com/00bce8d4-e9af-4c8d-b205-e6c75c7e252b.jpg\" width=\"790\" height=\"553\"><br></p><p><img alt=\"20000.jpg\" src=\"http://img.happymmall.com/4a70b4b4-01ee-46af-9468-31e67d0995b8.jpg\" width=\"790\" height=\"525\"><br></p><p><img alt=\"30000.jpg\" src=\"http://img.happymmall.com/0570e033-12d7-49b2-88f3-7a5d84157223.jpg\" width=\"790\" height=\"365\"><br></p><p><img alt=\"40000.jpg\" src=\"http://img.happymmall.com/50515c02-3255-44b9-a829-9e141a28c08a.jpg\" width=\"790\" height=\"525\"><br></p><p><img alt=\"50000.jpg\" src=\"http://img.happymmall.com/c138fc56-5843-4287-a029-91cf3732d034.jpg\" width=\"790\" height=\"525\"><br></p><p><img alt=\"60000.jpg\" src=\"http://img.happymmall.com/c92d1f8a-9827-453f-9d37-b10a3287e894.jpg\" width=\"790\" height=\"525\"><br></p><p><br></p><p><img alt=\"TB24p51hgFkpuFjSspnXXb4qFXa-1776456424.jpg\" src=\"http://img.happymmall.com/bb1511fc-3483-471f-80e5-c7c81fa5e1dd.jpg\" width=\"790\" height=\"375\"><br></p><p><br></p><p><img alt=\"shouhou.jpg\" src=\"http://img.happymmall.com/698e6fbe-97ea-478b-8170-008ad24030f7.jpg\" width=\"750\" height=\"150\"><br></p><p><img alt=\"999.jpg\" src=\"http://img.happymmall.com/ee276fe6-5d79-45aa-8393-ba1d210f9c89.jpg\" width=\"790\" height=\"351\"><br></p>', '6999.00', '9991', '1', null, '2017-04-13 21:45:41'), ('27', '100006', 'Midea/美的 BCD-535WKZM(E)冰箱双开门对开门风冷无霜智能电家用', '送品牌烤箱，五一大促', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg', 'ac3e571d-13ce-4fad-89e8-c92c2eccf536.jpeg,4bb02f1c-62d5-48cc-b358-97b05af5740d.jpeg,36bdb49c-72ae-4185-9297-78829b54b566.jpeg', '<p><img alt=\"miaoshu.jpg\" src=\"http://img.happymmall.com/9c5c74e6-6615-4aa0-b1fc-c17a1eff6027.jpg\" width=\"790\" height=\"444\"><br></p><p><img alt=\"miaoshu2.jpg\" src=\"http://img.happymmall.com/31dc1a94-f354-48b8-a170-1a1a6de8751b.jpg\" width=\"790\" height=\"1441\"><img alt=\"miaoshu3.jpg\" src=\"http://img.happymmall.com/7862594b-3063-4b52-b7d4-cea980c604e0.jpg\" width=\"790\" height=\"1442\"><img alt=\"miaoshu4.jpg\" src=\"http://img.happymmall.com/9a650563-dc85-44d6-b174-d6960cfb1d6a.jpg\" width=\"790\" height=\"1441\"><br></p>', '3299.00', '8876', '1', '2017-04-13 18:51:54', '2017-04-13 21:45:41'), ('28', '100012', '4+64G送手环/Huawei/华为 nova 手机P9/P10plus青春', 'NOVA青春版1999元', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg', '0093f5d3-bdb4-4fb0-bec5-5465dfd26363.jpeg,13da2172-4445-4eb5-a13f-c5d4ede8458c.jpeg,58d5d4b7-58d4-4948-81b6-2bae4f79bf02.jpeg', '<p><img alt=\"11TB2fKK3cl0kpuFjSsziXXa.oVXa_!!1777180618.jpg\" src=\"http://img.happymmall.com/5c2d1c6d-9e09-48ce-bbdb-e833b42ff664.jpg\" width=\"790\" height=\"966\"><img alt=\"22TB2YP3AkEhnpuFjSZFpXXcpuXXa_!!1777180618.jpg\" src=\"http://img.happymmall.com/9a10b877-818f-4a27-b6f7-62887f3fb39d.jpg\" width=\"790\" height=\"1344\"><img alt=\"33TB2Yyshk.hnpuFjSZFpXXcpuXXa_!!1777180618.jpg\" src=\"http://img.happymmall.com/7d7fbd69-a3cb-4efe-8765-423bf8276e3e.jpg\" width=\"790\" height=\"700\"><img alt=\"TB2diyziB8kpuFjSspeXXc7IpXa_!!1777180618.jpg\" src=\"http://img.happymmall.com/1d7160d2-9dba-422f-b2a0-e92847ba6ce9.jpg\" width=\"790\" height=\"393\"><br></p>', '1999.00', '9994', '1', '2017-04-13 18:57:18', '2017-04-13 21:45:41'), ('29', '100008', 'Haier/海尔HJ100-1HU1 10公斤滚筒洗衣机全自动带烘干家用大容量 洗烘一体', '门店机型 德邦送货', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg', '173335a4-5dce-4afd-9f18-a10623724c4e.jpeg,42b1b8bc-27c7-4ee1-80ab-753d216a1d49.jpeg,2f1b3de1-1eb1-4c18-8ca2-518934931bec.jpeg', '<p><img alt=\"1TB2WLZrcIaK.eBjSspjXXXL.XXa_!!2114960396.jpg\" src=\"http://img.happymmall.com/ffcce953-81bd-463c-acd1-d690b263d6df.jpg\" width=\"790\" height=\"920\"><img alt=\"2TB2zhOFbZCO.eBjSZFzXXaRiVXa_!!2114960396.jpg\" src=\"http://img.happymmall.com/58a7bd25-c3e7-4248-9dba-158ef2a90e70.jpg\" width=\"790\" height=\"1052\"><img alt=\"3TB27mCtb7WM.eBjSZFhXXbdWpXa_!!2114960396.jpg\" src=\"http://img.happymmall.com/2edbe9b3-28be-4a8b-a9c3-82e40703f22f.jpg\" width=\"790\" height=\"820\"><br></p>', '4299.00', '9993', '1', '2017-04-13 19:07:47', '2017-04-13 21:45:41');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_shipping`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_shipping`;
CREATE TABLE `mmall_shipping` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` int(11) DEFAULT NULL COMMENT '用户id',
  `receiver_name` varchar(20) DEFAULT NULL COMMENT '收货姓名',
  `receiver_phone` varchar(20) DEFAULT NULL COMMENT '收货固定电话',
  `receiver_mobile` varchar(20) DEFAULT NULL COMMENT '收货移动电话',
  `receiver_province` varchar(20) DEFAULT NULL COMMENT '省份',
  `receiver_city` varchar(20) DEFAULT NULL COMMENT '城市',
  `receiver_district` varchar(20) DEFAULT NULL COMMENT '区/县',
  `receiver_address` varchar(200) DEFAULT NULL COMMENT '详细地址',
  `receiver_zip` varchar(6) DEFAULT NULL COMMENT '邮编',
  `create_time` datetime DEFAULT NULL,
  `update_time` datetime DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=33 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_shipping`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_shipping` VALUES ('4', '13', 'geely', '010', '18688888888', '北京', '北京市', '海淀区', '中关村', '100000', '2017-01-22 14:26:25', '2017-01-22 14:26:25'), ('7', '17', 'Rosen', '13800138000', '13800138000', '北京', '北京', null, '中关村', '100000', '2017-03-29 12:11:01', '2017-03-29 12:11:01'), ('29', '1', '吉利', '13800138000', '13800138000', '北京', '北京', '海淀区', '海淀区中关村', '100000', '2017-04-09 18:33:32', '2017-04-09 18:33:32');
COMMIT;

-- ----------------------------
--  Table structure for `mmall_user`
-- ----------------------------
DROP TABLE IF EXISTS `mmall_user`;
CREATE TABLE `mmall_user` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '用户表id',
  `username` varchar(50) NOT NULL COMMENT '用户名',
  `password` varchar(50) NOT NULL COMMENT '用户密码，MD5加密',
  `email` varchar(50) DEFAULT NULL,
  `phone` varchar(20) DEFAULT NULL,
  `question` varchar(100) DEFAULT NULL COMMENT '找回密码问题',
  `answer` varchar(100) DEFAULT NULL COMMENT '找回密码答案',
  `role` int(4) NOT NULL COMMENT '角色0-管理员,1-普通用户',
  `create_time` datetime NOT NULL COMMENT '创建时间',
  `update_time` datetime NOT NULL COMMENT '最后一次更新时间',
  PRIMARY KEY (`id`),
  UNIQUE KEY `user_name_unique` (`username`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=22 DEFAULT CHARSET=utf8;

-- ----------------------------
--  Records of `mmall_user`
-- ----------------------------
BEGIN;
INSERT INTO `mmall_user` VALUES ('1', 'admin', '427338237BD929443EC5D48E24FD2B1A', 'admin@happymmall.com', '13800138000', '问题', '答案', '1', '2016-11-06 16:56:45', '2017-04-04 19:27:36'), ('13', 'geely', '08E9A6EA287E70E7E3F7C982BF7923AC', 'geely@happymmall.com', '13800138000', '问题', '答案', '0', '2016-11-19 22:19:25', '2016-11-19 22:19:25'), ('17', 'rosen', '095AC193FE2212EEC7A93E8FEFF11902', 'rosen1@happymmall.com', '13800138000', '问题', '答案', '0', '2017-03-17 10:51:33', '2017-04-09 23:13:26'), ('21', 'soonerbetter', 'DE6D76FE7C40D5A1A8F04213F2BEFBEE', 'test06@happymmall.com', '13800138000', '105204', '105204', '0', '2017-04-13 21:26:22', '2017-04-13 21:26:22');
COMMIT;

SET FOREIGN_KEY_CHECKS = 1;

• 创建项目的目录结果
  目录结构按照一般的项目要求，划分目录层次
  目录结构
• 需要用到Mybatis的三个工具

Mybatis-generator

这个插件的作用主要是逆向工程生成pojo，dao，mapper.xml这三个文件，具体步骤如下：

1.利用maven在pom文件中的<plugins>节点中导入该插件

    <plugin>
        <groupId>org.mybatis.generator</groupId>
        <artifactId>mybatis-generator-maven-plugin</artifactId>
        <version>1.3.2</version>
        <configuration>
          <verbose>true</verbose>
          <overwrite>true</overwrite>
        </configuration>
    </plugin>

2.加入generator.xml配置文件

根据自己的实际情况更改配置文件，即可生成pojo,dao,mapper.xml。以下是需要修改的内容：
datasource相关配置信息
targetPackage 生成的文件要放的目标包
targetProgject 生成的文件要放的目标项目
table 你的数据表，逆向工程生成代码本身就是根据你的数据表来生成的

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE generatorConfiguration
        PUBLIC "-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN"
        "http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd">

<generatorConfiguration>
    <!--导入属性配置-->
    <properties resource="datasource.properties"/>

    <!--指定特定数据库的jdbc驱动jar包的位置-->
    <classPathEntry location="${db.driverLocation}"/>

    <context id="default" targetRuntime="MyBatis3">

        <!-- optional，旨在创建class时，对注释进行控制 -->
        <commentGenerator>
            <property name="suppressDate" value="true"/>
            <property name="suppressAllComments" value="true"/>
        </commentGenerator>

        <!--jdbc的数据库连接 -->
        <jdbcConnection
                driverClass="${db.driverClassName}"
                connectionURL="${db.url}"
                userId="${db.username}"
                password="${db.password}">
        </jdbcConnection>


        <!-- 非必需，类型处理器，在数据库类型和java类型之间的转换控制-->
        <javaTypeResolver>
            <property name="forceBigDecimals" value="false"/>
        </javaTypeResolver>


        <!-- Model模型生成器,用来生成含有主键key的类，记录类 以及查询Example类
            targetPackage     指定生成的model生成所在的包名
            targetProject     指定在该项目下所在的路径
        -->
        <!--<javaModelGenerator targetPackage="com.mmall.pojo" targetProject=".\src\main\java">-->
        <javaModelGenerator targetPackage="com.ch0918.pojo" targetProject="./src/main/java">
            <!-- 是否允许子包，即targetPackage.schemaName.tableName -->
            <property name="enableSubPackages" value="false"/>
            <!-- 是否对model添加 构造函数 -->
            <property name="constructorBased" value="true"/>
            <!-- 是否对类CHAR类型的列的数据进行trim操作 -->
            <property name="trimStrings" value="true"/>
            <!-- 建立的Model对象是否 不可改变  即生成的Model对象不会有 setter方法，只有构造方法 -->
            <property name="immutable" value="false"/>
        </javaModelGenerator>

        <!--mapper映射文件生成所在的目录 为每一个数据库的表生成对应的SqlMap文件 -->
        <!--<sqlMapGenerator targetPackage="mappers" targetProject=".\src\main\resources">-->
        <sqlMapGenerator targetPackage="mappers" targetProject="./src/main/resources">
            <property name="enableSubPackages" value="false"/>
        </sqlMapGenerator>

        <!-- 客户端代码，生成易于使用的针对Model对象和XML配置文件 的代码
                type="ANNOTATEDMAPPER",生成Java Model 和基于注解的Mapper对象
                type="MIXEDMAPPER",生成基于注解的Java Model 和相应的Mapper对象
                type="XMLMAPPER",生成SQLMap XML文件和独立的Mapper接口
        -->

        <!-- targetPackage：mapper接口dao生成的位置 -->
        <!--<javaClientGenerator type="XMLMAPPER" targetPackage="com.mmall.dao" targetProject=".\src\main\java">-->
        <javaClientGenerator type="XMLMAPPER" targetPackage="com.ch0918.dao" targetProject="./src/main/java">
            <!-- enableSubPackages:是否让schema作为包的后缀 -->
            <property name="enableSubPackages" value="false" />
        </javaClientGenerator>

        <table tableName="mmall_shipping" domainObjectName="Shipping" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <table tableName="mmall_cart" domainObjectName="Cart" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <!--<table tableName="mmall_cart_item" domainObjectName="CartItem" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>-->
        <table tableName="mmall_category" domainObjectName="Category" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <table tableName="mmall_order" domainObjectName="Order" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <table tableName="mmall_order_item" domainObjectName="OrderItem" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <table tableName="mmall_pay_info" domainObjectName="PayInfo" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
        <table tableName="mmall_product" domainObjectName="Product" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false">
            <columnOverride column="detail" jdbcType="VARCHAR" />
            <columnOverride column="sub_images" jdbcType="VARCHAR" />
        </table>
        <table tableName="mmall_user" domainObjectName="User" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>

        <!-- geelynote mybatis插件的搭建 -->
    </context>
</generatorConfiguration>

3.开始生成代码

在idea的右侧，MavenProject->Plugins->mybatis-generator->mybatis-generator:generator
执行成功后，在我们刚刚设置的目标目录下就可以看到pojo,dao,和mapper.xml这三个文件。

pojo
dao
mapper

更改下sqlMapper中的sql语句中，insert语句create_time,和update_time这两个字段的value改为当前时间，用sql语句中的函数now()获得。这样做有个好处就是不用在业务代码中关注下时间戳的处理了。

另外两个插件是分页插件和代码提示插件，最后那个收费了，就不用了。分页插件写代码时再详细写下具体的用法。

• 引入spring，springMVC，web.xml文件
  applicationContext-datasource.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop"
       xmlns:tx="http://www.springframework.org/schema/tx" xmlns:jdbc="http://www.springframework.org/schema/jdbc"
       xmlns:context="http://www.springframework.org/schema/context"
       xsi:schemaLocation="
     http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd
     http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
     http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd
     http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop.xsd">

    <context:component-scan base-package="com.ch0918" annotation-config="true"/>

    <bean id="propertyConfigurer"
          class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
        <property name="order" value="2"/>
        <property name="ignoreUnresolvablePlaceholders" value="true"/>
        <property name="locations">
            <list>
                <value>classpath:datasource.properties</value>
            </list>
        </property>
        <property name="fileEncoding" value="utf-8"/>
    </bean>

    <bean id="dataSource" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
        <property name="driverClassName" value="${db.driverClassName}"/>
        <property name="url" value="${db.url}"/>
        <property name="username" value="${db.username}"/>
        <property name="password" value="${db.password}"/>
        <!-- 连接池启动时的初始值 -->
        <property name="initialSize" value="${db.initialSize}"/>
        <!-- 连接池的最大值 -->
        <property name="maxActive" value="${db.maxActive}"/>
        <!-- 最大空闲值.当经过一个高峰时间后，连接池可以慢慢将已经用不到的连接慢慢释放一部分，一直减少到maxIdle为止 -->
        <property name="maxIdle" value="${db.maxIdle}"/>
        <!-- 最小空闲值.当空闲的连接数少于阀值时，连接池就会预申请去一些连接，以免洪峰来时来不及申请 -->
        <property name="minIdle" value="${db.minIdle}"/>
        <!-- 最大建立连接等待时间。如果超过此时间将接到异常。设为－1表示无限制 -->
        <property name="maxWait" value="${db.maxWait}"/>
        <!--#给出一条简单的sql语句进行验证 -->
         <!--<property name="validationQuery" value="select getdate()" />-->
        <property name="defaultAutoCommit" value="${db.defaultAutoCommit}"/>
        <!-- 回收被遗弃的（一般是忘了释放的）数据库连接到连接池中 -->
         <!--<property name="removeAbandoned" value="true" />-->
        <!-- 数据库连接过多长时间不用将被视为被遗弃而收回连接池中 -->
         <!--<property name="removeAbandonedTimeout" value="120" />-->
        <!-- #连接的超时时间，默认为半小时。 -->
        <property name="minEvictableIdleTimeMillis" value="${db.minEvictableIdleTimeMillis}"/>

        <!--# 失效检查线程运行时间间隔，要小于MySQL默认-->
        <property name="timeBetweenEvictionRunsMillis" value="40000"/>
        <!--# 检查连接是否有效-->
        <property name="testWhileIdle" value="true"/>
        <!--# 检查连接有效性的SQL语句-->
        <property name="validationQuery" value="SELECT 1 FROM dual"/>
    </bean>

    <bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
        <property name="dataSource" ref="dataSource"/>
        <property name="mapperLocations" value="classpath*:mappers/UserMapper.xml"/>

        <!-- 分页插件 -->
        <property name="plugins">
            <array>
                <bean class="com.github.pagehelper.PageHelper">
                    <property name="properties">
                        <value>
                            dialect=mysql
                        </value>
                    </property>
                </bean>
            </array>
        </property>

    </bean>

    <bean name="mapperScannerConfigurer" class="org.mybatis.spring.mapper.MapperScannerConfigurer">
        <property name="basePackage" value="com.ch0918.dao"/>
    </bean>

    <!-- 使用@Transactional进行声明式事务管理需要声明下面这行 -->
    <tx:annotation-driven transaction-manager="transactionManager" proxy-target-class="true" />
    <!-- 事务管理 -->
    <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
        <property name="dataSource" ref="dataSource"/>
        <property name="rollbackOnCommitFailure" value="true"/>
    </bean>
</beans>

applicationContext.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop"
       xmlns:tx="http://www.springframework.org/schema/tx" xmlns:jdbc="http://www.springframework.org/schema/jdbc"
       xmlns:context="http://www.springframework.org/schema/context"
       xsi:schemaLocation="
     http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd
     http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
     http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd
     http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop.xsd">

    <context:component-scan base-package="com.ch0918" annotation-config="true"/>
    <!--<context:annotation-config/>-->
    <aop:aspectj-autoproxy/>
    <import resource="classpath:/spring/applicationContext-datasource.xml"/>
</beans>

spring.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p"
       xmlns:context="http://www.springframework.org/schema/context"
       xmlns:mvc="http://www.springframework.org/schema/mvc" xmlns:aop="http://www.springframework.org/schema/aop"
       xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
    http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd
    http://www.springframework.org/schema/mvc
    http://www.springframework.org/schema/mvc/spring-mvc.xsd">

    <context:component-scan base-package="com.ch0918" annotation-config="true"/>

    <mvc:annotation-driven>
        <mvc:message-converters>
            <bean class="org.springframework.http.converter.StringHttpMessageConverter">
                <property name="supportedMediaTypes">
                    <list>
                        <value>text/plain;charset=UTF-8</value>
                        <value>text/html;charset=UTF-8</value>
                    </list>
                </property>
            </bean>
            <bean class="org.springframework.http.converter.json.MappingJacksonHttpMessageConverter">
                <property name="supportedMediaTypes">
                    <list>
                        <value>application/json;charset=UTF-8</value>
                    </list>
                </property>
            </bean>
        </mvc:message-converters>
    </mvc:annotation-driven>

    <!-- 文件上传 -->
    <bean id="multipartResolver" class="org.springframework.web.multipart.commons.CommonsMultipartResolver">
        <property name="maxUploadSize" value="10485760"/> <!-- 10m -->
        <property name="maxInMemorySize" value="4096"/>
        <property name="defaultEncoding" value="UTF-8"/>
    </bean>
</beans>

web.xml

<?xml version="1.0" encoding="UTF-8"?>
<web-app xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xmlns="http://java.sun.com/xml/ns/javaee"
         xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd"
         id="WebApp_ID" version="2.5">

    <display-name>Archetype Created Web Application</display-name>

    <filter>
        <filter-name>characterEncodingFilter</filter-name>
        <filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class>
        <init-param>
            <param-name>encoding</param-name>
            <param-value>UTF-8</param-value>
        </init-param>
        <init-param>
            <param-name>forceEncoding</param-name>
            <param-value>true</param-value>
        </init-param>
    </filter>
    <filter-mapping>
        <filter-name>characterEncodingFilter</filter-name>
        <url-pattern>/*</url-pattern>
    </filter-mapping>

    <listener>
        <listener-class>org.springframework.web.context.request.RequestContextListener</listener-class>
    </listener>

    <listener>
        <listener-class>org.springframework.web.context.ContextLoaderListener</listener-class>
    </listener>
    <context-param>
        <param-name>contextConfigLocation</param-name>
        <param-value>
            classpath:/spring/applicationContext.xml
        </param-value>
    </context-param>

    <servlet>
        <servlet-name>dispatcher</servlet-name>
        <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class>
        <load-on-startup>1</load-on-startup>
    </servlet>

    <servlet-mapping>
        <servlet-name>dispatcher</servlet-name>
        <url-pattern>*.do</url-pattern>
    </servlet-mapping>

</web-app>

总结

项目的开发环境，准备工作基本到这里搭完了，总结起来就是：

• 导入sql文件，建需要的表
• 利用mybatis-generator插件生成pojo,dao,mapper.xml这三个文件，这样可以大大提升我们的开发效率，但是好像逆向工程只能根据单表来生成代码，如果是多表关联的话好像就不能用了。
• 配置application.xml,applicationMVC.xml,web.xml文件