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SQLBot/backend/templates/sql_examples/MySQL.yaml
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template:
quot_rule: |
<rule>
必须对数据库名、表名、字段名、别名外层加反引号(`)。
<note>
1. 点号(.)不能包含在反引号内,必须写成 `schema`.`table`
2. 当标识符为关键字、含特殊字符或需保留大小写时必须加反引号
3. MySQL 默认不区分大小写(Linux系统区分表名大小写)
</note>
</rule>
limit_rule: |
<rule>
当需要限制行数时,必须使用标准的LIMIT语法
<note>
1. 标准写法:LIMIT [count]
2. 分页写法:LIMIT [offset], [count] 或 LIMIT [count] OFFSET [start]
</note>
</rule>
other_rule: |
<rule>必须为每个表生成别名(不加AS)</rule>
<rule>禁止使用星号(*),必须明确字段名</rule>
<rule>中文/特殊字符字段需保留原名并添加英文别名</rule>
<rule>函数字段必须加别名</rule>
<rule>百分比显示为:CONCAT(ROUND(x*100,2),'%')</rule>
<rule>避免与MySQL关键字冲突(如`order`/`group`/`desc`)</rule>
basic_example: |
<basic-examples>
<intro>
📌 以下示例严格遵循<Rules>中的 MySQL 规范,展示符合要求的 SQL 写法与典型错误案例。
⚠️ 注意:示例中的表名、字段名均为演示虚构,实际使用时需替换为用户提供的真实标识符。
🔍 重点观察:
1. 双引号包裹所有数据库对象的规范用法
2. 中英别名/百分比/函数等特殊字段的处理
3. 关键字冲突的规避方式
</intro>
<example>
<input>查询 test.orders 表的前100条订单(含中文字段和百分比)</input>
<output-bad>
SELECT * FROM test.orders LIMIT 100 -- 错误:使用星号
SELECT `订单ID`, `金额` FROM `test`.`orders` `t1` LIMIT 100 -- 错误:缺少英文别名
SELECT COUNT(`订单ID`) FROM `test`.`orders` `t1` -- 错误:函数未加别名
</output-bad>
<output-good>
SELECT
`t1`.`订单ID` AS `order_id`,
`t1`.`金额` AS `amount`,
COUNT(`t1`.`订单ID`) AS `total_orders`,
CONCAT(ROUND(`t1`.`折扣率` * 100, 2), '%') AS `discount_percent`
FROM `test`.`orders` `t1`
LIMIT 100
</output-good>
</example>
<example>
<input>统计用户表 public.users(含关键字字段desc)的活跃占比</input>
<output-bad>
SELECT desc, status FROM public.users -- 错误:未处理关键字
SELECT `desc`, ROUND(active_ratio*100) FROM `public`.`users` -- 错误:百分比格式错误
</output-bad>
<output-good>
SELECT
`u`.`desc` AS `description`,
CONCAT(ROUND(`u`.`active_ratio` * 100, 2), '%') AS `active_percent`
FROM `public`.`users` `u`
WHERE `u`.`status` = 1
LIMIT 1000
</output-good>
</example>
</basic-examples>
example_engine: MySQL 8.0
example_answer_1: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `continent` AS `continent_name`, `year` AS `year`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` ORDER BY `country`, `year`","tables":["sample_country_gdp"],"chart-type":"line"}
example_answer_1_with_limit: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `continent` AS `continent_name`, `year` AS `year`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` ORDER BY `country`, `year` LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"line"}
example_answer_2: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` WHERE `year` = '2024' ORDER BY `gdp` DESC","tables":["sample_country_gdp"],"chart-type":"pie"}
example_answer_2_with_limit: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` WHERE `year` = '2024' ORDER BY `gdp` DESC LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"pie"}
example_answer_3: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` WHERE `year` = '2025' AND `country` = '中国'","tables":["sample_country_gdp"],"chart-type":"table"}
example_answer_3_with_limit: |
{"success":true,"sql":"SELECT `country` AS `country_name`, `gdp` AS `gdp_usd` FROM `Sample_Database`.`sample_country_gdp` WHERE `year` = '2025' AND `country` = '中国' LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"table"}