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快速数据库结构生成助手

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Nov 24, 2025更新

根据用户输入的表名称、字段和关系信息,快速生成标准化数据库结构和DDL语句,自动匹配字段类型,支持表间关系描述,便于初学者和原型设计用户快速搭建数据库。

{ "databaseSchema": "CREATE TABLE users (\n id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,\n username VARCHAR(50) NOT NULL,\n email VARCHAR(255) NOT NULL,\n phone VARCHAR(20),\n password_hash VARCHAR(255) NOT NULL,\n avatar_url VARCHAR(512),\n status TINYINT NOT NULL DEFAULT 1,\n signup_ip VARCHAR(45),\n last_login_at DATETIME,\n created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,\n PRIMARY KEY (id),\n UNIQUE KEY uk_users_username (username),\n UNIQUE KEY uk_users_email (email),\n INDEX idx_users_phone (phone)\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;\n\nCREATE TABLE roles (\n id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,\n name VARCHAR(50) NOT NULL,\n description VARCHAR(255),\n created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,\n PRIMARY KEY (id),\n UNIQUE KEY uk_roles_name (name)\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;\n\nCREATE TABLE orders (\n id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,\n user_id BIGINT UNSIGNED NOT NULL,\n status TINYINT NOT NULL DEFAULT 0,\n total_amount DECIMAL(10,2) NOT NULL DEFAULT 0.00,\n created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,\n PRIMARY KEY (id),\n INDEX idx_orders_user_id (user_id),\n CONSTRAINT fk_orders_user FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;\n\nCREATE TABLE profiles (\n user_id BIGINT UNSIGNED NOT NULL,\n full_name VARCHAR(100),\n birthday DATE,\n bio TEXT,\n created_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,\n updated_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,\n PRIMARY KEY (user_id),\n CONSTRAINT fk_profiles_user FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;\n\nCREATE TABLE user_roles (\n user_id BIGINT UNSIGNED NOT NULL,\n role_id BIGINT UNSIGNED NOT NULL,\n assigned_at DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,\n PRIMARY KEY (user_id, role_id),\n INDEX idx_ur_role_id (role_id),\n CONSTRAINT fk_user_roles_user FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE,\n CONSTRAINT fk_user_roles_role FOREIGN KEY (role_id) REFERENCES roles(id) ON DELETE CASCADE ON UPDATE CASCADE\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;", "tables": [ { "tableName": "users", "fields": [ {"name": "id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "username", "type": "VARCHAR(50)", "isPrimaryKey": false}, {"name": "email", "type": "VARCHAR(255)", "isPrimaryKey": false}, {"name": "phone", "type": "VARCHAR(20)", "isPrimaryKey": false}, {"name": "password_hash", "type": "VARCHAR(255)", "isPrimaryKey": false}, {"name": "avatar_url", "type": "VARCHAR(512)", "isPrimaryKey": false}, {"name": "status", "type": "TINYINT", "isPrimaryKey": false}, {"name": "signup_ip", "type": "VARCHAR(45)", "isPrimaryKey": false}, {"name": "last_login_at", "type": "DATETIME", "isPrimaryKey": false}, {"name": "created_at", "type": "DATETIME", "isPrimaryKey": false}, {"name": "updated_at", "type": "DATETIME", "isPrimaryKey": false} ] }, { "tableName": "roles", "fields": [ {"name": "id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "name", "type": "VARCHAR(50)", "isPrimaryKey": false}, {"name": "description", "type": "VARCHAR(255)", "isPrimaryKey": false}, {"name": "created_at", "type": "DATETIME", "isPrimaryKey": false}, {"name": "updated_at", "type": "DATETIME", "isPrimaryKey": false} ] }, { "tableName": "orders", "fields": [ {"name": "id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "user_id", "type": "BIGINT UNSIGNED", "isPrimaryKey": false}, {"name": "status", "type": "TINYINT", "isPrimaryKey": false}, {"name": "total_amount", "type": "DECIMAL(10,2)", "isPrimaryKey": false}, {"name": "created_at", "type": "DATETIME", "isPrimaryKey": false}, {"name": "updated_at", "type": "DATETIME", "isPrimaryKey": false} ] }, { "tableName": "profiles", "fields": [ {"name": "user_id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "full_name", "type": "VARCHAR(100)", "isPrimaryKey": false}, {"name": "birthday", "type": "DATE", "isPrimaryKey": false}, {"name": "bio", "type": "TEXT", "isPrimaryKey": false}, {"name": "created_at", "type": "DATETIME", "isPrimaryKey": false}, {"name": "updated_at", "type": "DATETIME", "isPrimaryKey": false} ] }, { "tableName": "user_roles", "fields": [ {"name": "user_id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "role_id", "type": "BIGINT UNSIGNED", "isPrimaryKey": true}, {"name": "assigned_at", "type": "DATETIME", "isPrimaryKey": false} ] } ], "relationships": [ "orders.user_id -> users.id", "profiles.user_id -> users.id", "user_roles.user_id -> users.id", "user_roles.role_id -> roles.id" ] }

{ "databaseSchema": "CREATE TABLE articles (\n id INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,\n title VARCHAR(255) NOT NULL,\n content TEXT,\n created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP\n);\n\nCREATE TABLE tags (\n id INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,\n name VARCHAR(100) NOT NULL,\n description VARCHAR(255),\n created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,\n CONSTRAINT uq_tags_name UNIQUE (name)\n);\n\nCREATE TABLE article_tags (\n id INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,\n article_id INTEGER NOT NULL,\n tag_id INTEGER NOT NULL,\n tag_label VARCHAR(100),\n created_by INTEGER,\n created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,\n CONSTRAINT fk_article_tags_article FOREIGN KEY (article_id) REFERENCES articles(id) ON DELETE CASCADE,\n CONSTRAINT fk_article_tags_tag FOREIGN KEY (tag_id) REFERENCES tags(id) ON DELETE CASCADE,\n CONSTRAINT uq_article_tag UNIQUE (article_id, tag_id)\n);\n\nCREATE INDEX idx_article_tags_article ON article_tags(article_id);\nCREATE INDEX idx_article_tags_tag ON article_tags(tag_id);\n\nCREATE TABLE comments (\n id INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,\n article_id INTEGER NOT NULL,\n content TEXT NOT NULL,\n created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,\n CONSTRAINT fk_comments_article FOREIGN KEY (article_id) REFERENCES articles(id) ON DELETE CASCADE\n);\n\nCREATE INDEX idx_comments_article ON comments(article_id);\n", "tables": [ { "tableName": "articles", "fields": [ {"name": "id", "type": "INTEGER", "isPrimaryKey": true}, {"name": "title", "type": "VARCHAR(255)", "isPrimaryKey": false}, {"name": "content", "type": "TEXT", "isPrimaryKey": false}, {"name": "created_at", "type": "TIMESTAMP", "isPrimaryKey": false} ] }, { "tableName": "tags", "fields": [ {"name": "id", "type": "INTEGER", "isPrimaryKey": true}, {"name": "name", "type": "VARCHAR(100)", "isPrimaryKey": false}, {"name": "description", "type": "VARCHAR(255)", "isPrimaryKey": false}, {"name": "created_at", "type": "TIMESTAMP", "isPrimaryKey": false} ] }, { "tableName": "article_tags", "fields": [ {"name": "id", "type": "INTEGER", "isPrimaryKey": true}, {"name": "article_id", "type": "INTEGER", "isPrimaryKey": false}, {"name": "tag_id", "type": "INTEGER", "isPrimaryKey": false}, {"name": "tag_label", "type": "VARCHAR(100)", "isPrimaryKey": false}, {"name": "created_by", "type": "INTEGER", "isPrimaryKey": false}, {"name": "created_at", "type": "TIMESTAMP", "isPrimaryKey": false} ] }, { "tableName": "comments", "fields": [ {"name": "id", "type": "INTEGER", "isPrimaryKey": true}, {"name": "article_id", "type": "INTEGER", "isPrimaryKey": false}, {"name": "content", "type": "TEXT", "isPrimaryKey": false}, {"name": "created_at", "type": "TIMESTAMP", "isPrimaryKey": false} ] } ], "relationships": [ "article_tags.article_id -> articles.id", "article_tags.tag_id -> tags.id", "comments.article_id -> articles.id" ] }

示例详情

解决的问题

快速生成符合用户需求的数据库结构,为用户提供字段类型推荐及标准化的DDL语句,以满足开发初期、原型设计等场景快速落地的需求。

适用用户

初级开发人员

在项目开发初期,可以快速生成符合规范的数据库结构,节约数据库设计的时间,将更多精力放在业务开发上。

学生和新手学习者

刚接触数据库设计时,利用工具提供的清晰表结构和标准化DDL语句,更快理解设计逻辑和最佳实践。

快速项目原型设计人员

在需要快速验证产品概念时,利用提示词一键生成数据库结构,帮助团队快速推进项目原型开发。

特征总结

快速生成数据库表结构,支持单表和多表设计,一键满足开发初期或原型设计需求。
根据输入的字段列表和主键字段,智能匹配字段数据类型,减少手动配置时间。
输出标准化的DDL语句,可直接用于主流数据库,优化开发效率。
支持表间关系的描述与建模,轻松构建基础数据库结构关系。
为初学者和非专业用户提供清晰易懂的表结构设计,降低上手门槛。
根据最佳实践自动优化设计方案,避免常见设计误区。
支持层级分明的 JSON 输出,方便开发者快速解析和集成使用。
专为快速原型设计和简单数据库项目量身打造,提升搭建速度与质量。
模版化生成方式,确保结果逻辑清晰,可轻松扩展至复杂需求。
帮助开发者快速验证设计思路,节省时间并专注于核心业务。

如何使用购买的提示词模板

1. 直接在外部 Chat 应用中使用

将模板生成的提示词复制粘贴到您常用的 Chat 应用(如 ChatGPT、Claude 等),即可直接对话使用,无需额外开发。适合个人快速体验和轻量使用场景。

2. 发布为 API 接口调用

把提示词模板转化为 API,您的程序可任意修改模板参数,通过接口直接调用,轻松实现自动化与批量处理。适合开发者集成与业务系统嵌入。

3. 在 MCP Client 中配置使用

在 MCP client 中配置对应的 server 地址,让您的 AI 应用自动调用提示词模板。适合高级用户和团队协作,让提示词在不同 AI 工具间无缝衔接。

AI 提示词价格
¥25.00元
先用后买,用好了再付款,超安全!

您购买后可以获得什么

获得完整提示词模板
- 共 727 tokens
- 5 个可调节参数
{ 项目名称 } { 表名称 } { 字段列表 } { 主键字段 } { 表间关系 }
获得社区贡献内容的使用权
- 精选社区优质案例,助您快速上手提示词
使用提示词兑换券,低至 ¥ 9.9
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