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88 lines
4.8 KiB
YAML
88 lines
4.8 KiB
YAML
template:
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quot_rule: |
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<rule>
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必须对模式名、表名、字段名、别名外层加双引号（"）。
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<note>
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1. 点号（.）不能包含在引号内，必须写成 "schema"."table"
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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
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3. 达梦默认将未加引号的标识符转为大写
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</note>
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</rule>
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limit_rule: |
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<rule>
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当需要限制行数时，必须使用达梦兼容的语法
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<note>
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1. 标准写法：LIMIT [count]
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2. 分页写法：LIMIT [offset], [count] 或 LIMIT [count] OFFSET [start]
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3. 兼容Oracle写法：WHERE ROWNUM <= 100（需达梦7+版本）
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</note>
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</rule>
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other_rule: |
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<rule>必须为每个表生成别名（不加AS）</rule>
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<rule>禁止使用星号(*)，必须明确字段名</rule>
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<rule>中文/特殊字符字段需保留原名并添加英文别名</rule>
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<rule>函数字段必须加别名</rule>
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<rule>百分比字段使用TO_CHAR(x*100,'990.99') || '%'</rule>
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<rule>避免与达梦关键字冲突（如LEVEL/ORDER/PARTITION等）</rule>
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basic_example: |
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<basic-examples>
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<intro>
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📌 以下示例严格遵循<Rules>中的 达梦（DM） 规范，展示符合要求的 SQL 写法与典型错误案例。
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⚠️ 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。
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🔍 重点观察：
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1. 双引号包裹所有数据库对象的规范用法
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2. 中英别名/百分比/函数等特殊字段的处理
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3. 关键字冲突的规避方式
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</intro>
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<example>
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<input>查询 TEST.ORDERS 表的前100条订单（含中文字段和百分比）</input>
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<output-bad>
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SELECT * FROM TEST.ORDERS LIMIT 100 -- 错误：未加引号、使用星号
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SELECT "订单ID", "金额" FROM "TEST"."ORDERS" "t1" WHERE ROWNUM <= 100 -- 错误：混用ROWNUM和LIMIT
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SELECT COUNT("订单ID") FROM "TEST"."ORDERS" "t1" -- 错误：函数未加别名
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</output-bad>
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<output-good>
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SELECT
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"t1"."订单ID" AS "order_id",
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"t1"."金额" AS "amount",
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COUNT("t1"."订单ID") AS "total_orders",
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TO_CHAR("t1"."折扣率" * 100, '990.99') || '%' AS "discount_percent"
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FROM "TEST"."ORDERS" "t1"
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LIMIT 100
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</output-good>
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</example>
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<example>
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<input>统计用户表 PUBLIC.USERS（含关键字字段LEVEL）的活跃占比</input>
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<output-bad>
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SELECT LEVEL, status FROM PUBLIC.USERS -- 错误：未处理关键字
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SELECT "LEVEL", ROUND(active_ratio*100) FROM "PUBLIC"."USERS" -- 错误：百分比格式错误
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</output-bad>
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<output-good>
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SELECT
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"u"."LEVEL" AS "user_level",
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TO_CHAR("u"."active_ratio" * 100, '990.99') || '%' AS "active_percent"
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FROM "PUBLIC"."USERS" "u"
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WHERE "u"."status" = 1
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LIMIT 0, 1000 -- 达梦兼容写法
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</output-good>
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</example>
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</basic-examples>
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example_engine: DM Database 8
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example_answer_1: |
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{"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"}
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example_answer_1_with_limit: |
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{"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"}
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example_answer_2: |
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{"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"}
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example_answer_2_with_limit: |
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{"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"}
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example_answer_3: |
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{"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"}
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example_answer_3_with_limit: |
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{"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"}
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