/*
 Navicat Premium Dump SQL

 Source Server         : 新Mysql服务器
 Source Server Type    : MySQL
 Source Server Version : 80407 (8.4.7)
 Source Host           : 101.43.12.11:3306
 Source Schema         : nl_im_plus

 Target Server Type    : MySQL
 Target Server Version : 80407 (8.4.7)
 File Encoding         : 65001

 Date: 04/12/2025 09:24:16
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for api_request_logs
-- ----------------------------
DROP TABLE IF EXISTS `api_request_logs`;
CREATE TABLE `api_request_logs`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `route` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '请求路由',
  `ip` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '请求IP',
  `ip_location` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'IP归属地',
  `user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '请求用户ID',
  `method` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '请求方式',
  `request_params` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '请求参数',
  `response_params` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '返回参数',
  `response_code` bigint NULL DEFAULT NULL COMMENT '返回code',
  `http_status` bigint NULL DEFAULT NULL COMMENT '返回http状态',
  `request_time` datetime NULL DEFAULT NULL COMMENT '请求时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_api_request_logs_route`(`route` ASC) USING BTREE,
  INDEX `idx_api_request_logs_ip`(`ip` ASC) USING BTREE,
  INDEX `idx_api_request_logs_user_id`(`user_id` ASC) USING BTREE,
  INDEX `idx_api_request_logs_response_code`(`response_code` ASC) USING BTREE,
  INDEX `idx_api_request_logs_request_time`(`request_time` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '接口请求日志表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of api_request_logs
-- ----------------------------

-- ----------------------------
-- Table structure for attachments
-- ----------------------------
DROP TABLE IF EXISTS `attachments`;
CREATE TABLE `attachments`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `uploader_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '上传者ID',
  `file_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '文件名',
  `file_type` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '文件类型',
  `file_size` bigint NULL DEFAULT NULL COMMENT '文件大小（字节）',
  `file_path` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '文件路径',
  `file_url` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '文件URL',
  `mime_type` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'MIME类型',
  `width` bigint NULL DEFAULT NULL COMMENT '宽度',
  `height` bigint NULL DEFAULT NULL COMMENT '高度',
  `duration` bigint NULL DEFAULT NULL COMMENT '时长（秒）',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_attachments_uploader_id`(`uploader_id` ASC) USING BTREE,
  INDEX `idx_attachments_file_type`(`file_type` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 8 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '附件表，记录上传的文件信息' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of attachments
-- ----------------------------
INSERT INTO `attachments` VALUES (1, '10003', 'app-logo.png', 'image', 50300, 'uploads\\images\\1764746993197363100_363100.png', '/uploads/images/1764746993197363100_363100.png', 'image/png', 0, 0, 0, '2025-12-03 15:29:53.422');
INSERT INTO `attachments` VALUES (2, '10003', 'qd.png', 'image', 83764, 'uploads\\images\\1764749231349186800_186800.png', '/uploads/images/1764749231349186800_186800.png', 'image/png', 0, 0, 0, '2025-12-03 16:07:11.365');
INSERT INTO `attachments` VALUES (3, '10003', 'weibo_login.mp4', 'video', 20268266, 'uploads\\videos\\1764750111983307600_307600.mp4', '/uploads/videos/1764750111983307600_307600.mp4', 'video/mp4', 0, 0, 0, '2025-12-03 16:21:52.026');
INSERT INTO `attachments` VALUES (4, '10001', 'app-logo.png', 'image', 50300, 'uploads\\images\\1764752399437299400_299400.png', '/uploads/images/1764752399437299400_299400.png', 'image/png', 0, 0, 0, '2025-12-03 16:59:59.453');
INSERT INTO `attachments` VALUES (5, '10001', 'weibo_login.mp4', 'video', 20268266, 'uploads\\videos\\1764756814142661300_661300.mp4', '/uploads/videos/1764756814142661300_661300.mp4', 'video/mp4', 0, 0, 0, '2025-12-03 18:13:34.173');
INSERT INTO `attachments` VALUES (6, '10002', 'qd.png', 'image', 83764, 'uploads\\images\\1764757797137847900_847900.png', '/uploads/images/1764757797137847900_847900.png', 'image/png', 0, 0, 0, '2025-12-03 18:29:57.163');
INSERT INTO `attachments` VALUES (7, '10001', 'weibo_login.mp4', 'video', 20268266, 'uploads\\videos\\1764757832542101400_101400.mp4', '/uploads/videos/1764757832542101400_101400.mp4', 'video/mp4', 0, 0, 0, '2025-12-03 18:30:32.589');

-- ----------------------------
-- Table structure for chat_conversations
-- ----------------------------
DROP TABLE IF EXISTS `chat_conversations`;
CREATE TABLE `chat_conversations`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户ID',
  `target_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '目标ID(好友或群)',
  `room_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间ID',
  `type` bigint NULL DEFAULT NULL COMMENT '会话类型(1=私聊,2=群聊)',
  `is_top` tinyint(1) NULL DEFAULT 0 COMMENT '是否置顶',
  `is_muted` tinyint(1) NULL DEFAULT 0 COMMENT '是否免打扰',
  `is_special_care` tinyint(1) NULL DEFAULT 0 COMMENT '是否特别关心',
  `unread_count` bigint NULL DEFAULT 0 COMMENT '未读消息数',
  `last_message` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '最后一条消息内容',
  `last_time` datetime NULL DEFAULT NULL COMMENT '最后消息时间',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  `updated_at` datetime(3) NULL DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_chat_conversations_user_id`(`user_id` ASC) USING BTREE,
  INDEX `idx_chat_conversations_target_id`(`target_id` ASC) USING BTREE,
  INDEX `idx_chat_conversations_room_id`(`room_id` ASC) USING BTREE,
  INDEX `idx_chat_conversations_last_time`(`last_time` ASC) USING BTREE,
  CONSTRAINT `fk_chat_conversations_target_user` FOREIGN KEY (`target_id`) REFERENCES `users` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '用户会话表，记录每个用户的最近会话列表和未读信息' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of chat_conversations
-- ----------------------------
INSERT INTO `chat_conversations` VALUES (1, '10001', '10002', '10001_10002', 1, 0, 0, 0, 3, '123', '2025-12-04 09:22:46', '2025-12-03 22:13:53.569', '2025-12-04 09:22:45.636');
INSERT INTO `chat_conversations` VALUES (2, '10002', '10001', '10001_10002', 1, 0, 0, 0, 0, '123', '2025-12-04 09:22:46', '2025-12-03 22:13:53.658', '2025-12-04 09:22:45.549');

-- ----------------------------
-- Table structure for chat_messages
-- ----------------------------
DROP TABLE IF EXISTS `chat_messages`;
CREATE TABLE `chat_messages`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '消息唯一标识ID',
  `room_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间ID',
  `sender_user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '发送者用户ID',
  `receiver_user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '接收者用户ID',
  `message_type` bigint NULL DEFAULT NULL COMMENT '消息类型',
  `content` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '消息内容',
  `extra` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '扩展字段，存储JSON格式的元数据',
  `duration` bigint NULL DEFAULT NULL COMMENT '通话时长(秒)',
  `call_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '关联的通话ID',
  `call_status` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '通话状态',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_chat_messages_room_id`(`room_id` ASC) USING BTREE,
  INDEX `idx_chat_messages_sender_user_id`(`sender_user_id` ASC) USING BTREE,
  INDEX `idx_chat_messages_receiver_user_id`(`receiver_user_id` ASC) USING BTREE,
  INDEX `idx_chat_messages_call_id`(`call_id` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 77 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '聊天消息表，持久化存储聊天记录，包括文本、多媒体和信令状态' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of chat_messages
-- ----------------------------
INSERT INTO `chat_messages` VALUES (1, '10001_10002', '10001', '10002', 0, '..', '{}', 0, '', '', '2025-12-03 12:54:12.439');
INSERT INTO `chat_messages` VALUES (2, '10001_10002', '10002', '10001', 0, '...', '{}', 0, '', '', '2025-12-03 12:55:09.135');
INSERT INTO `chat_messages` VALUES (3, '10002_10003', '10002', '10003', 0, '123', '{}', 0, '', '', '2025-12-03 12:55:13.661');
INSERT INTO `chat_messages` VALUES (4, '10002_10003', '10003', '10002', 0, '😊', '{}', 0, '', '', '2025-12-03 12:55:40.703');
INSERT INTO `chat_messages` VALUES (5, '10002_10003', '10003', '10002', 0, '123', '{}', 0, '', '', '2025-12-03 12:58:39.225');
INSERT INTO `chat_messages` VALUES (6, '10002_10003', '10003', '10002', 0, 'cs', '{}', 0, '', '', '2025-12-03 13:17:33.159');
INSERT INTO `chat_messages` VALUES (7, '10002_10003', '10003', '10002', 2, 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', 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INSERT INTO `chat_messages` VALUES (30, '10001_10002', '10001', '10002', 0, 'aaa ', '{}', 0, '', '', '2025-12-03 16:46:20.067');
INSERT INTO `chat_messages` VALUES (31, '10001_10002', '10001', '10002', 0, '通话结束，时长：1秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-03 16:59:20.516');
INSERT INTO `chat_messages` VALUES (32, '10001_10002', '10001', '10002', 1, '/uploads/images/1764752399437299400_299400.png', '{\"name\":\"app-logo.png\",\"size\":50300,\"url\":\"/uploads/images/1764752399437299400_299400.png\"}', 0, '', '', '2025-12-03 16:59:59.520');
INSERT INTO `chat_messages` VALUES (33, '10001_10002', '10002', '10001', 0, '.', '{}', 0, '', '', '2025-12-03 17:58:57.501');
INSERT INTO `chat_messages` VALUES (34, '10001_10002', '10001', '10002', 0, '123', '{}', 0, '', '', '2025-12-03 17:59:09.272');
INSERT INTO `chat_messages` VALUES (35, '10001_10002', '10001', '10002', 0, '111', '{}', 0, '', '', '2025-12-03 17:59:11.137');
INSERT INTO `chat_messages` VALUES (36, '10001_10002', '10001', '10002', 0, '通话结束，时长：1秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-03 18:01:18.449');
INSERT INTO `chat_messages` VALUES (37, '10001_10002', '10002', '10001', 0, '1', '{}', 0, '', '', '2025-12-03 18:01:20.867');
INSERT INTO `chat_messages` VALUES (38, '10001_10002', '10001', '10002', 0, '222', '{}', 0, '', '', '2025-12-03 18:01:25.256');
INSERT INTO `chat_messages` VALUES (39, '10001_10002', '10001', '10002', 0, '333', '{}', 0, '', '', '2025-12-03 18:01:26.599');
INSERT INTO `chat_messages` VALUES (40, '10001_10002', '10001', '10002', 0, '通话结束，时长：2秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-03 18:02:10.752');
INSERT INTO `chat_messages` VALUES (41, '10001_10002', '10001', '10002', 0, '.', '{}', 0, '', '', '2025-12-03 18:03:59.324');
INSERT INTO `chat_messages` VALUES (42, '10001_10002', '10001', '10002', 3, '/uploads/videos/1764756814142661300_661300.mp4', '{\"name\":\"weibo_login.mp4\",\"size\":20268266,\"url\":\"/uploads/videos/1764756814142661300_661300.mp4\",\"attachment_id\":5}', 0, '', '', '2025-12-03 18:13:34.242');
INSERT INTO `chat_messages` VALUES (43, '10001_10002', '10001', '10002', 0, '1', '{}', 0, '', '', '2025-12-03 18:13:47.979');
INSERT INTO `chat_messages` VALUES (44, '10001_10002', '10001', '10002', 0, '123', '{}', 0, '', '', '2025-12-03 18:14:03.434');
INSERT INTO `chat_messages` VALUES (45, '10001_10002', '10001', '10002', 0, '...', '{}', 0, '', '', '2025-12-03 18:18:36.416');
INSERT INTO `chat_messages` VALUES (46, '10001_10002', '10002', '10001', 0, '123', '{}', 0, '', '', '2025-12-03 18:18:49.006');
INSERT INTO `chat_messages` VALUES (47, '10001_10002', '10001', '10002', 0, '223', '{}', 0, '', '', '2025-12-03 18:18:57.973');
INSERT INTO `chat_messages` VALUES (48, '10001_10002', '10001', '10002', 0, '.', '{}', 0, '', '', '2025-12-03 18:19:00.034');
INSERT INTO `chat_messages` VALUES (49, '10001_10002', '10001', '10002', 0, '.', '{}', 0, '', '', '2025-12-03 18:19:00.519');
INSERT INTO `chat_messages` VALUES (50, '10001_10002', '10001', '10002', 0, '...', '{}', 0, '', '', '2025-12-03 18:19:01.407');
INSERT INTO `chat_messages` VALUES (51, '10001_10002', '10001', '10002', 0, '123', '{}', 0, '', '', '2025-12-03 18:26:54.455');
INSERT INTO `chat_messages` VALUES (52, '10001_10002', '10002', '10001', 1, '/uploads/images/1764757797137847900_847900.png', '{\"name\":\"qd.png\",\"size\":83764,\"url\":\"/uploads/images/1764757797137847900_847900.png\",\"attachment_id\":6}', 0, '', '', '2025-12-03 18:29:57.243');
INSERT INTO `chat_messages` VALUES (53, '10001_10002', '10001', '10002', 3, '/uploads/videos/1764757832542101400_101400.mp4', '{\"name\":\"weibo_login.mp4\",\"size\":20268266,\"url\":\"/uploads/videos/1764757832542101400_101400.mp4\",\"attachment_id\":7}', 0, '', '', '2025-12-03 18:30:32.676');
INSERT INTO `chat_messages` VALUES (54, '10001_10002', '10001', '10002', 0, '111', '{}', 0, '', '', '2025-12-03 20:40:32.959');
INSERT INTO `chat_messages` VALUES (55, '10001_10002', '10001', '10002', 0, '222', '{}', 0, '', '', '2025-12-03 20:40:33.755');
INSERT INTO `chat_messages` VALUES (56, '10001_10002', '10001', '10002', 0, '333', '{}', 0, '', '', '2025-12-03 20:40:34.422');
INSERT INTO `chat_messages` VALUES (57, '10001_10002', '10001', '10002', 0, '1', '{}', 0, '', '', '2025-12-03 22:13:53.471');
INSERT INTO `chat_messages` VALUES (58, '10001_10002', '10002', '10001', 0, '2', '{}', 0, '', '', '2025-12-03 22:14:01.304');
INSERT INTO `chat_messages` VALUES (59, '10001_10002', '10002', '10001', 0, '..', '{}', 0, '', '', '2025-12-03 22:16:51.629');
INSERT INTO `chat_messages` VALUES (60, '10001_10002', '10001', '10002', 0, '已取消呼叫 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-03 22:17:10.872');
INSERT INTO `chat_messages` VALUES (61, '10001_10002', '10002', '10001', 0, '通话结束，时长：6秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-03 22:17:21.197');
INSERT INTO `chat_messages` VALUES (62, '10001_10002', '10002', '10001', 0, '123', '{}', 0, '', '', '2025-12-04 08:34:11.803');
INSERT INTO `chat_messages` VALUES (63, '10001_10002', '10001', '10002', 0, '123', '{}', 0, '', '', '2025-12-04 08:35:19.738');
INSERT INTO `chat_messages` VALUES (64, '10001_10002', '10001', '10002', 0, '通话结束，时长：1秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-04 08:35:36.613');
INSERT INTO `chat_messages` VALUES (65, '10003_', '10003', '', 0, '223', '{}', 0, '', '', '2025-12-04 08:37:20.989');
INSERT INTO `chat_messages` VALUES (66, '10001_', '10001', '', 0, '..', '{}', 0, '', '', '2025-12-04 08:38:15.724');
INSERT INTO `chat_messages` VALUES (67, '10003_', '10003', '', 0, '...', '{}', 0, '', '', '2025-12-04 08:38:29.490');
INSERT INTO `chat_messages` VALUES (68, '10001_', '10001', '', 0, '222.', '{}', 0, '', '', '2025-12-04 08:42:03.505');
INSERT INTO `chat_messages` VALUES (69, '10001_10002', '10001', '10002', 0, '123', '{}', 0, '', '', '2025-12-04 08:42:08.018');
INSERT INTO `chat_messages` VALUES (70, '10001_10002', '10002', '10001', 0, '123', '{}', 0, '', '', '2025-12-04 09:20:58.652');
INSERT INTO `chat_messages` VALUES (71, '10001_10002', '10002', '10001', 0, '通话结束，时长：1秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-04 09:21:04.628');
INSERT INTO `chat_messages` VALUES (72, '10001_10002', '10001', '10002', 0, '通话结束，时长：1秒 [电脑端]', '{\"isSystem\":true}', 0, '', '', '2025-12-04 09:21:11.894');
INSERT INTO `chat_messages` VALUES (73, '10002_', '10002', '', 0, '123', '{}', 0, '', '', '2025-12-04 09:22:40.668');
INSERT INTO `chat_messages` VALUES (74, '10002_', '10002', '', 0, '333', '{}', 0, '', '', '2025-12-04 09:22:42.114');
INSERT INTO `chat_messages` VALUES (75, '10001_10002', '10002', '10001', 0, '123', '{}', 0, '', '', '2025-12-04 09:22:45.470');
INSERT INTO `chat_messages` VALUES (76, '10002_', '10002', '', 0, '2', '{}', 0, '', '', '2025-12-04 09:22:51.019');

-- ----------------------------
-- Table structure for chat_rooms
-- ----------------------------
DROP TABLE IF EXISTS `chat_rooms`;
CREATE TABLE `chat_rooms`  (
  `room_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '房间ID',
  `room_type` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间类型',
  `room_name` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间名称',
  `room_avatar` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间头像',
  `members` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '成员列表JSON',
  `creator_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者ID',
  `last_message_time` datetime NULL DEFAULT NULL COMMENT '最后消息时间',
  `last_message` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '最后消息内容',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  `updated_at` datetime(3) NULL DEFAULT NULL COMMENT '更新时间',
  `owner_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT '0' COMMENT '群主ID(群聊必填,单聊为0)',
  `admin_ids` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '管理员ID列表(逗号分隔)',
  PRIMARY KEY (`room_id`) USING BTREE,
  INDEX `idx_chat_rooms_room_type`(`room_type` ASC) USING BTREE,
  INDEX `idx_chat_rooms_creator_id`(`creator_id` ASC) USING BTREE,
  INDEX `idx_chat_rooms_last_message_time`(`last_message_time` ASC) USING BTREE,
  INDEX `idx_chat_rooms_owner_id`(`owner_id` ASC) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '聊天房间表，支持点对点和群聊' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of chat_rooms
-- ----------------------------

-- ----------------------------
-- Table structure for contact_groups
-- ----------------------------
DROP TABLE IF EXISTS `contact_groups`;
CREATE TABLE `contact_groups`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户ID',
  `group_name` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '分组名称',
  `sort_order` bigint NULL DEFAULT 0 COMMENT '排序顺序',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_contact_groups_user_id`(`user_id` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '联系人分组表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of contact_groups
-- ----------------------------
INSERT INTO `contact_groups` VALUES (1, '10001', '123', 1, '2025-12-03 22:13:25.487');

-- ----------------------------
-- Table structure for friend_requests
-- ----------------------------
DROP TABLE IF EXISTS `friend_requests`;
CREATE TABLE `friend_requests`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `from_user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '发送者用户ID',
  `to_user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '接收者用户ID',
  `message` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '申请消息',
  `status` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT 'pending' COMMENT '状态',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  `updated_at` datetime(3) NULL DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_friend_requests_from_user_id`(`from_user_id` ASC) USING BTREE,
  INDEX `idx_friend_requests_to_user_id`(`to_user_id` ASC) USING BTREE,
  INDEX `idx_friend_requests_status`(`status` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 5 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '好友申请表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of friend_requests
-- ----------------------------
INSERT INTO `friend_requests` VALUES (1, '10001', '10002', '你好，我想加你为好友', 'accepted', '2025-12-03 12:53:10.857', '2025-12-03 12:53:45.700');
INSERT INTO `friend_requests` VALUES (2, '10003', '10002', '你好，我想加你为好友', 'accepted', '2025-12-03 12:54:55.582', '2025-12-03 12:54:59.324');
INSERT INTO `friend_requests` VALUES (3, '10003', '10001', '你好，我想加你为好友', 'rejected', '2025-12-04 08:37:47.796', '2025-12-04 08:38:00.078');
INSERT INTO `friend_requests` VALUES (4, '10003', '10001', '你好，我想加你为好友', 'accepted', '2025-12-04 08:38:04.899', '2025-12-04 08:38:09.734');

-- ----------------------------
-- Table structure for login_logs
-- ----------------------------
DROP TABLE IF EXISTS `login_logs`;
CREATE TABLE `login_logs`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `account` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '登录账号',
  `user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '登录ID',
  `location` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '归属地',
  `ip` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'IP地址',
  `success` tinyint(1) NULL DEFAULT NULL COMMENT '成功状态',
  `login_time` datetime NULL DEFAULT NULL COMMENT '登录时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_login_logs_account`(`account` ASC) USING BTREE,
  INDEX `idx_login_logs_user_id`(`user_id` ASC) USING BTREE,
  INDEX `idx_login_logs_ip`(`ip` ASC) USING BTREE,
  INDEX `idx_login_logs_success`(`success` ASC) USING BTREE,
  INDEX `idx_login_logs_login_time`(`login_time` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 21 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '登录日志表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of login_logs
-- ----------------------------
INSERT INTO `login_logs` VALUES (1, 'workerqi@163.COM', '0', '本地', '::1', 0, '2025-12-03 12:48:03');
INSERT INTO `login_logs` VALUES (2, 'workerqi@163.COM', '10001', '本地', '::1', 1, '2025-12-03 12:48:10');
INSERT INTO `login_logs` VALUES (3, 'workerqi@163.COM', '10001', '本地', '::1', 1, '2025-12-03 12:49:06');
INSERT INTO `login_logs` VALUES (4, 'workerqi@163.COM', '10001', '本地', '::1', 1, '2025-12-03 12:51:28');
INSERT INTO `login_logs` VALUES (5, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 12:53:40');
INSERT INTO `login_logs` VALUES (6, 'user003@example.com', '10003', '本地', '::1', 1, '2025-12-03 12:54:47');
INSERT INTO `login_logs` VALUES (7, 'user001@example.com', '0', '本地', '::1', 0, '2025-12-03 16:39:43');
INSERT INTO `login_logs` VALUES (8, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 16:39:49');
INSERT INTO `login_logs` VALUES (9, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 16:40:01');
INSERT INTO `login_logs` VALUES (10, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 16:40:24');
INSERT INTO `login_logs` VALUES (11, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 16:41:49');
INSERT INTO `login_logs` VALUES (12, 'workerqi@163.com', '10001', '本地', '::1', 1, '2025-12-03 16:42:26');
INSERT INTO `login_logs` VALUES (13, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 16:45:21');
INSERT INTO `login_logs` VALUES (14, 'workerqi@163.com', '10001', '本地', '::1', 1, '2025-12-03 18:12:51');
INSERT INTO `login_logs` VALUES (15, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-03 18:13:04');
INSERT INTO `login_logs` VALUES (16, 'user1@example.com', '0', '本地', '127.0.0.1', 0, '2025-12-03 21:38:26');
INSERT INTO `login_logs` VALUES (17, 'workerqi@163.com', '10001', '本地', '127.0.0.1', 1, '2025-12-03 21:38:57');
INSERT INTO `login_logs` VALUES (18, 'user003@example.com', '10003', '本地', '::1', 1, '2025-12-03 22:19:07');
INSERT INTO `login_logs` VALUES (19, 'workerqi@163.com', '10001', '本地', '::1', 1, '2025-12-04 08:35:09');
INSERT INTO `login_logs` VALUES (20, 'user002@example.com', '10002', '本地', '::1', 1, '2025-12-04 08:35:12');

-- ----------------------------
-- Table structure for user_contacts
-- ----------------------------
DROP TABLE IF EXISTS `user_contacts`;
CREATE TABLE `user_contacts`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `user_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户ID',
  `contact_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '联系人ID',
  `remark_name` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注名称',
  `group_id` bigint NULL DEFAULT NULL COMMENT '分组ID',
  `is_top` tinyint(1) NULL DEFAULT 0 COMMENT '是否置顶',
  `is_muted` tinyint(1) NULL DEFAULT 0 COMMENT '是否免打扰',
  `last_chat_time` datetime NULL DEFAULT NULL COMMENT '最后聊天时间',
  `last_message` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '最后一条消息',
  `unread_count` bigint NULL DEFAULT 0 COMMENT '未读消息数',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  `updated_at` datetime(3) NULL DEFAULT NULL COMMENT '更新时间',
  `is_special_care` tinyint(1) NULL DEFAULT 0 COMMENT '是否特别关心',
  `is_blocked` tinyint(1) NULL DEFAULT 0 COMMENT '是否拉黑',
  `room_id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '房间ID',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_user_contacts_user_id`(`user_id` ASC) USING BTREE,
  INDEX `idx_user_contacts_contact_id`(`contact_id` ASC) USING BTREE,
  INDEX `idx_user_contacts_group_id`(`group_id` ASC) USING BTREE,
  INDEX `idx_user_contacts_room_id`(`room_id` ASC) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '用户联系人表，存储好友关系、分组、备注等信息' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of user_contacts
-- ----------------------------
INSERT INTO `user_contacts` VALUES (1, '10001', '10002', '', 0, 0, 0, NULL, '', 0, '2025-12-03 12:53:45.720', '2025-12-04 08:47:46.970', 0, 0, NULL);
INSERT INTO `user_contacts` VALUES (2, '10002', '10001', '', 0, 1, 0, NULL, '', 0, '2025-12-03 12:53:45.742', '2025-12-04 08:47:54.471', 0, 0, NULL);
INSERT INTO `user_contacts` VALUES (3, '10003', '10002', '', 0, 0, 0, NULL, '', 0, '2025-12-03 12:54:59.344', '2025-12-03 12:54:59.344', 0, 0, NULL);
INSERT INTO `user_contacts` VALUES (4, '10002', '10003', '', 0, 0, 0, NULL, '', 0, '2025-12-03 12:54:59.364', '2025-12-03 12:54:59.364', 0, 0, NULL);
INSERT INTO `user_contacts` VALUES (5, '10003', '10001', '', 0, 0, 0, NULL, '', 0, '2025-12-04 08:38:09.760', '2025-12-04 08:38:09.760', 0, 0, NULL);
INSERT INTO `user_contacts` VALUES (6, '10001', '10003', '', 0, 0, 0, NULL, '', 0, '2025-12-04 08:38:09.792', '2025-12-04 08:47:49.196', 0, 0, NULL);

-- ----------------------------
-- Table structure for users
-- ----------------------------
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users`  (
  `id` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户唯一ID',
  `email` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '邮箱',
  `phone` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '手机号',
  `password` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '密码（加密后）',
  `name` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户名称',
  `avatar` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户头像',
  `desc` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '用户描述或签名',
  `region` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '地区',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  `updated_at` datetime(3) NULL DEFAULT NULL COMMENT '更新时间',
  PRIMARY KEY (`id`) USING BTREE,
  UNIQUE INDEX `idx_users_email`(`email` ASC) USING BTREE,
  UNIQUE INDEX `idx_users_phone`(`phone` ASC) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '用户基本信息表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of users
-- ----------------------------
INSERT INTO `users` VALUES ('10001', 'workerqi@163.COM', '13800138001', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '张三', '张', 'Golang 开发工程师', '北京', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10002', 'user002@example.com', '13800138002', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '李四', '李', '前端开发工程师', '上海', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10003', 'user003@example.com', '13800138003', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '王五', '王', '产品经理', '深圳', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10004', 'user004@example.com', '13800138004', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '赵六', '赵', 'UI设计师', '广州', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10005', 'user005@example.com', '13800138005', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '钱七', '钱', '测试工程师', '杭州', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10006', 'user006@example.com', '13800138006', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '孙八', '孙', '运维工程师', '成都', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10007', 'user007@example.com', '13800138007', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '周九', '周', '数据分析师', '武汉', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10008', 'user008@example.com', '13800138008', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '吴十', '吴', '项目经理', '西安', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10009', 'user009@example.com', '13800138009', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '郑十一', '郑', '架构师', '南京', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10010', 'user010@example.com', '13800138010', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '王十二', '王', '技术总监', '苏州', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10011', 'user011@example.com', '13800138011', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '冯十三', '冯', 'HR经理', '天津', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10012', 'user012@example.com', '13800138012', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '陈十四', '陈', '财务经理', '重庆', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10013', 'user013@example.com', '13800138013', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '褚十五', '褚', '市场经理', '长沙', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10014', 'user014@example.com', '13800138014', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '卫十六', '卫', '销售经理', '郑州', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10015', 'user015@example.com', '13800138015', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '蒋十七', '蒋', '客服主管', '济南', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10016', 'user016@example.com', '13800138016', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '沈十八', '沈', '运营专员', '青岛', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10017', 'user017@example.com', '13800138017', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '韩十九', '韩', '内容编辑', '大连', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10018', 'user018@example.com', '13800138018', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '杨二十', '杨', '商务拓展', '厦门', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10019', 'user019@example.com', '13800138019', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '朱二一', '朱', '法务专员', '福州', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');
INSERT INTO `users` VALUES ('10020', 'user020@example.com', '13800138020', '$2a$10$OsVRHKowu.mVT4GNxzZ3/eo8xEABkWsUGAt4nV5nalzOXW47vtBmC', '秦二二', '秦', '行政助理', '合肥', '2025-12-03 09:53:49.000', '2025-12-03 09:53:49.000');

-- ----------------------------
-- Table structure for verification_codes
-- ----------------------------
DROP TABLE IF EXISTS `verification_codes`;
CREATE TABLE `verification_codes`  (
  `id` bigint UNSIGNED NOT NULL AUTO_INCREMENT COMMENT '主键ID',
  `target` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '邮箱或手机号',
  `code` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '验证码',
  `type` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '类型',
  `expires_at` datetime NULL DEFAULT NULL COMMENT '过期时间',
  `created_at` datetime(3) NULL DEFAULT NULL COMMENT '创建时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `idx_verification_codes_target`(`target` ASC) USING BTREE,
  INDEX `idx_verification_codes_expires_at`(`expires_at` ASC) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '验证码表' ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of verification_codes
-- ----------------------------

SET FOREIGN_KEY_CHECKS = 1;
