template:
quot_rule: |
必须对数据库名、表名、字段名、别名外层加双引号(")。
1. 点号(.)不能包含在引号内,必须写成 "schema"."table"
2. 即使标识符不含特殊字符或非关键字,也需强制加双引号
3. Redshift 默认将未加引号的标识符转为小写
limit_rule: |
当需要限制行数时,必须使用 LIMIT 或 FETCH FIRST 来限制行数(Redshift 兼容 PostgreSQL)
1. 标准写法:LIMIT 100
2. 可选写法:FETCH FIRST 100 ROWS ONLY
other_rule: |
必须为每个表生成别名(不加AS)
{multi_table_condition}
禁止使用星号(*),必须明确字段名中文/特殊字符字段需保留原名并添加英文别名函数字段必须加别名百分比字段保留两位小数并以%结尾(使用ROUND+CONCAT)避免与Redshift关键字冲突(如USER/GROUP/ORDER等)
basic_example: |
📌 以下示例严格遵循中的 AWS Redshift 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
查询 TEST.SALES 表的前100条订单(含百分比计算)
SELECT * FROM TEST.SALES LIMIT 100 -- 错误:未加引号、使用星号
SELECT "订单ID", "金额" FROM "TEST"."SALES" "t1" FETCH FIRST 100 ROWS ONLY -- 错误:缺少英文别名
SELECT COUNT("订单ID") FROM "TEST"."SALES" "t1" -- 错误:函数未加别名
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"."SALES" "t1"
GROUP BY "t1"."订单ID", "t1"."金额", "t1"."折扣率"
LIMIT 100
统计用户表 PUBLIC.USERS(含关键字字段user)的活跃占比
SELECT user, status FROM PUBLIC.USERS -- 错误:未处理关键字和引号
SELECT "user", ROUND(active_ratio) FROM "PUBLIC"."USERS" -- 错误:百分比格式错误
SELECT
"u"."user" AS "user_account",
CONCAT(ROUND("u"."active_ratio" * 100, 2), '%') AS "active_percent"
FROM "PUBLIC"."USERS" "u"
WHERE "u"."status" = 1
FETCH FIRST 1000 ROWS ONLY
统计订单表 TEST.ORDERS 中2024年每个客户的消费总金额,返回金额最高的前100名客户
SELECT "t"."customer_id" AS "customer_id", SUM("t"."amount") AS "total_amount"
FROM (SELECT "customer_id", "amount" FROM "TEST"."ORDERS" WHERE "create_time" >= '2024-01-01' LIMIT 100) "t"
GROUP BY "t"."customer_id"
-- 严重错误:LIMIT加在了内层子查询中,聚合只基于被截断的100行数据计算,结果错误!
SELECT
"o"."customer_id" AS "customer_id",
SUM("o"."amount") AS "total_amount"
FROM "TEST"."ORDERS" "o"
WHERE "o"."create_time" >= '2024-01-01'
GROUP BY "o"."customer_id"
ORDER BY "total_amount" DESC
LIMIT 100
-- 正确:聚合基于完整数据计算,LIMIT只限制最终返回结果的行数,且只出现在最外层查询
example_engine: AWS Redshift 1.0
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 OFFSET 0","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 OFFSET 0","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 OFFSET 0","tables":["sample_country_gdp"],"chart-type":"table"}