-- phpMyAdmin SQL Dump
-- version 4.6.6
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: 2018-09-28 16:13:26
-- 服务器版本： 5.7.23-0ubuntu0.18.04.1
-- PHP Version: 7.2.10-0ubuntu0.18.04.1

SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";


/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;

--
-- Database: `exam`
--

-- --------------------------------------------------------

--
-- 表的结构 `announce`
--

CREATE TABLE `announce` (
  `id` int(11) NOT NULL,
  `title` varchar(50) NOT NULL,
  `content` text NOT NULL,
  `date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `announce`
--

INSERT INTO `announce` (`id`, `title`, `content`, `date`) VALUES
(4, '公告测试', '<p>我就是一个测试，啦啦啦啦～啦啦啦～～</p><p><br></p><p><img 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data-filename=\"271505548270.jpg\" style=\"width: 650px;\"><br></p>', '2018-09-28 00:45:00');

-- --------------------------------------------------------

--
-- 表的结构 `category`
--

CREATE TABLE `category` (
  `id` int(11) NOT NULL,
  `name` varchar(50) NOT NULL,
  `parent` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `exam_group`
--

CREATE TABLE `exam_group` (
  `id` int(11) NOT NULL,
  `name` varchar(20) NOT NULL,
  `users` json DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `groups`
--

CREATE TABLE `groups` (
  `id` int(11) NOT NULL,
  `name` varchar(20) NOT NULL,
  `level` tinyint(4) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `groups`
--

INSERT INTO `groups` (`id`, `name`, `level`) VALUES
(1, '管理员', 9),
(2, '教师', 7),
(3, '学员', 1);

-- --------------------------------------------------------

--
-- 表的结构 `page`
--

CREATE TABLE `page` (
  `id` int(11) NOT NULL,
  `title` varchar(50) NOT NULL,
  `category` int(11) NOT NULL COMMENT '分类ID',
  `type` tinyint(1) NOT NULL COMMENT '0随机，1手工',
  `time` int(11) NOT NULL COMMENT '考试时长',
  `total` int(11) NOT NULL COMMENT '总分',
  `passing` int(11) NOT NULL COMMENT '及格线',
  `question` text NOT NULL COMMENT '试题分配，json',
  `upset` tinyint(1) DEFAULT '0' COMMENT '1打乱选项顺序',
  `date` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
  `user` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `question`
--

CREATE TABLE `question` (
  `id` int(11) NOT NULL,
  `title` varchar(500) NOT NULL,
  `category` int(11) NOT NULL COMMENT '分类',
  `type` tinyint(1) NOT NULL COMMENT '类型',
  `option` json NOT NULL COMMENT 'json格式',
  `level` tinyint(1) NOT NULL COMMENT '难易',
  `analysis` text NOT NULL COMMENT '解析',
  `date` date NOT NULL,
  `deleted` tinyint(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `room`
--

CREATE TABLE `room` (
  `id` int(11) NOT NULL,
  `name` varchar(200) NOT NULL,
  `page` int(11) NOT NULL,
  `time` datetime NOT NULL,
  `start` tinyint(4) NOT NULL DEFAULT '0' COMMENT '进场时间，0为不限',
  `city` int(11) DEFAULT NULL,
  `group` text,
  `stat` tinyint(1) NOT NULL COMMENT '0为考试，1为练习'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `setting`
--

CREATE TABLE `setting` (
  `id` int(11) NOT NULL,
  `name` varchar(50) NOT NULL,
  `value` text NOT NULL,
  `desc` varchar(50) NOT NULL,
  `type` varchar(20) NOT NULL,
  `options` text
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `setting`
--

INSERT INTO `setting` (`id`, `name`, `value`, `desc`, `type`, `options`) VALUES
(1, 'title', 'ADBC', '站点标题', 'text', ''),
(3, 'homeShowAnnouncement', 'true', '登录页面是否显示公告', 'select', '[\"true\",\"false\"]');

-- --------------------------------------------------------

--
-- 表的结构 `test`
--

CREATE TABLE `test` (
  `id` int(11) NOT NULL,
  `user` int(11) NOT NULL,
  `zone` int(11) NOT NULL,
  `room` int(11) NOT NULL,
  `score` smallint(6) NOT NULL COMMENT '得分',
  `page` int(11) NOT NULL,
  `start_time` datetime NOT NULL COMMENT '参考时间',
  `usetime` int(11) NOT NULL COMMENT '用时'
) ENGINE=MyISAM DEFAULT CHARSET=utf8;

-- --------------------------------------------------------

--
-- 表的结构 `types`
--

CREATE TABLE `types` (
  `id` int(11) NOT NULL,
  `name` varchar(20) NOT NULL,
  `type` tinyint(1) NOT NULL COMMENT '类型，0、客观题1、主观题'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `types`
--

INSERT INTO `types` (`id`, `name`, `type`) VALUES
(1, '单选题', 0),
(2, '多选题', 0),
(3, '判断题', 0),
(4, '填空题', 0),
(5, '问答题', 1);

-- --------------------------------------------------------

--
-- 表的结构 `users`
--

CREATE TABLE `users` (
  `id` int(11) NOT NULL,
  `username` varchar(50) NOT NULL,
  `password` char(32) NOT NULL,
  `email` varchar(200) DEFAULT NULL,
  `avatar` varchar(36) DEFAULT NULL,
  `group` int(11) NOT NULL,
  `zone` int(11) NOT NULL,
  `deleted` tinyint(1) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `users`
--

INSERT INTO `users` (`id`, `username`, `password`, `email`, `avatar`, `group`, `zone`, `deleted`) VALUES
(1, 'admin', '202cb962ac59075b964b07152d234b70', NULL, NULL, 1, 9, 0);

-- --------------------------------------------------------

--
-- 表的结构 `zone`
--

CREATE TABLE `zone` (
  `id` int(11) UNSIGNED NOT NULL,
  `parent` int(11) NOT NULL DEFAULT '0',
  `name` varchar(50) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

--
-- 转存表中的数据 `zone`
--

INSERT INTO `zone` (`id`, `parent`, `name`) VALUES
(6, 0, '安徽'),
(8, 6, '合肥'),
(9, 6, '淮北'),
(10, 6, '淮南'),
(11, 6, '阜阳'),
(12, 6, '宿州'),
(13, 8, '巢湖'),
(14, 9, '濉溪'),
(15, 10, '凤台'),
(16, 11, '颍上'),
(17, 11, '阜南'),
(18, 8, '肥东'),
(19, 0, '河南'),
(20, 0, '河北'),
(21, 0, '湖南'),
(22, 0, '湖北'),
(23, 0, '江苏'),
(24, 0, '江西'),
(25, 12, '萧县'),
(26, 12, '灵璧'),
(27, 8, '肥西');

--
-- Indexes for dumped tables
--

--
-- Indexes for table `announce`
--
ALTER TABLE `announce`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `category`
--
ALTER TABLE `category`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `exam_group`
--
ALTER TABLE `exam_group`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `groups`
--
ALTER TABLE `groups`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `page`
--
ALTER TABLE `page`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `question`
--
ALTER TABLE `question`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `room`
--
ALTER TABLE `room`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `setting`
--
ALTER TABLE `setting`
  ADD PRIMARY KEY (`id`),
  ADD UNIQUE KEY `name` (`name`);

--
-- Indexes for table `test`
--
ALTER TABLE `test`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `types`
--
ALTER TABLE `types`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `users`
--
ALTER TABLE `users`
  ADD PRIMARY KEY (`id`);

--
-- Indexes for table `zone`
--
ALTER TABLE `zone`
  ADD PRIMARY KEY (`id`);

--
-- 在导出的表使用AUTO_INCREMENT
--

--
-- 使用表AUTO_INCREMENT `announce`
--
ALTER TABLE `announce`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- 使用表AUTO_INCREMENT `category`
--
ALTER TABLE `category`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `exam_group`
--
ALTER TABLE `exam_group`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `groups`
--
ALTER TABLE `groups`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- 使用表AUTO_INCREMENT `page`
--
ALTER TABLE `page`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `question`
--
ALTER TABLE `question`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `room`
--
ALTER TABLE `room`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `setting`
--
ALTER TABLE `setting`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- 使用表AUTO_INCREMENT `test`
--
ALTER TABLE `test`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- 使用表AUTO_INCREMENT `types`
--
ALTER TABLE `types`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- 使用表AUTO_INCREMENT `users`
--
ALTER TABLE `users`
  MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=29;
--
-- 使用表AUTO_INCREMENT `zone`
--
ALTER TABLE `zone`
  MODIFY `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=28;
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