Add one-skill

one-skill/smart-data-developer/references/sql/templates/doris/query-template.sql

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+-- =====================================================================
+-- @Name:             DORIS-D-SQL-{表名}-QUERY
+-- @Version:          1.0
+-- @Desc:             Apache Doris 查询模板
+-- @TargetDatabase:   Apache Doris
+-- =====================================================================
+
+-- ============================================================================
+-- 1. 单表查询
+-- ============================================================================
+
+SELECT 
+    order_id,
+    user_name,
+    total_amount,
+    create_time
+FROM db_name.orders
+WHERE order_date = '${day_id}'
+  AND status = 'completed'
+ORDER BY total_amount DESC
+LIMIT 100;
+
+-- ============================================================================
+-- 2. JOIN 查询
+-- ============================================================================
+
+-- 两表 JOIN
+SELECT 
+    o.order_id,
+    o.total_amount,
+    u.user_name,
+    u.vip_level
+FROM db_name.orders o
+JOIN db_name.users u ON o.user_id = u.user_id
+WHERE o.order_date = '${day_id}'
+  AND o.status = 'completed';
+
+-- 多表 JOIN
+SELECT 
+    o.order_id,
+    u.user_name,
+    p.product_name,
+    oi.quantity,
+    oi.unit_price
+FROM db_name.orders o
+JOIN db_name.users u ON o.user_id = u.user_id
+JOIN db_name.order_items oi ON o.order_id = oi.order_id
+JOIN db_name.products p ON oi.product_id = p.product_id
+WHERE o.order_date BETWEEN '${start_date}' AND '${end_date}';
+
+-- ============================================================================
+-- 3. 聚合查询
+-- ============================================================================
+
+-- GROUP BY + HAVING
+SELECT 
+    department,
+    COUNT(*) AS order_count,
+    SUM(total_amount) AS total_amount,
+    AVG(total_amount) AS avg_amount
+FROM db_name.orders
+WHERE order_date = '${day_id}'
+GROUP BY department
+HAVING COUNT(*) >= 5
+ORDER BY total_amount DESC;
+
+-- 多字段分组 + 去重计数
+SELECT 
+    order_date,
+    region,
+    COUNT(*) AS order_count,
+    COUNT(DISTINCT user_id) AS unique_users,
+    SUM(total_amount) AS total_amount
+FROM db_name.orders
+WHERE order_date BETWEEN '${start_date}' AND '${end_date}'
+GROUP BY order_date, region;
+
+-- ============================================================================
+-- 4. 窗口函数
+-- ============================================================================
+
+-- ROW_NUMBER（分组取Top N）
+SELECT *
+FROM (
+    SELECT 
+        department,
+        user_name,
+        total_amount,
+        ROW_NUMBER() OVER (PARTITION BY department ORDER BY total_amount DESC) AS rn
+    FROM db_name.orders
+    WHERE order_date = '${day_id}'
+) t
+WHERE rn <= 3;
+
+-- 累计聚合
+SELECT 
+    order_date,
+    daily_amount,
+    SUM(daily_amount) OVER (ORDER BY order_date) AS cumulative_amount,
+    AVG(daily_amount) OVER (
+        ORDER BY order_date
+        ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
+    ) AS moving_avg_7d
+FROM (
+    SELECT order_date, SUM(total_amount) AS daily_amount
+    FROM db_name.orders
+    GROUP BY order_date
+) t;
+
+-- LAG/LEAD（环比计算）
+SELECT 
+    order_date,
+    daily_amount,
+    LAG(daily_amount, 1) OVER (ORDER BY order_date) AS prev_amount,
+    daily_amount - LAG(daily_amount, 1) OVER (ORDER BY order_date) AS daily_change,
+    ROUND(
+        (daily_amount - LAG(daily_amount, 1) OVER (ORDER BY order_date)) 
+        / LAG(daily_amount, 1) OVER (ORDER BY order_date) * 100, 2
+    ) AS growth_rate_pct
+FROM (
+    SELECT order_date, SUM(total_amount) AS daily_amount
+    FROM db_name.orders
+    GROUP BY order_date
+) t;
+
+-- ============================================================================
+-- 5. 分页查询
+-- ============================================================================
+
+-- LIMIT OFFSET 分页（Doris 原生支持）
+SELECT 
+    order_id, user_name, total_amount
+FROM db_name.orders
+WHERE order_date = '${day_id}'
+ORDER BY order_id
+LIMIT 20 OFFSET 0;          -- 第1页，每页20条
+
+-- ============================================================================
+-- 6. 子查询
+-- ============================================================================
+
+-- IN 子查询
+SELECT *
+FROM db_name.orders
+WHERE user_id IN (
+    SELECT user_id FROM db_name.users WHERE vip_level >= 3
+)
+AND order_date = '${day_id}';
+
+-- EXISTS 子查询
+SELECT *
+FROM db_name.products p
+WHERE EXISTS (
+    SELECT 1 FROM db_name.inventory i 
+    WHERE i.product_id = p.product_id 
+      AND i.quantity > 0
+);
+
+-- ============================================================================
+-- 7. 条件聚合（CASE WHEN + 聚合）
+-- ============================================================================
+
+SELECT 
+    order_date,
+    COUNT(*) AS total_orders,
+    SUM(CASE WHEN status = 'completed' THEN 1 ELSE 0 END) AS completed_count,
+    SUM(CASE WHEN status = 'cancelled' THEN 1 ELSE 0 END) AS cancelled_count,
+    SUM(CASE WHEN status = 'pending' THEN 1 ELSE 0 END) AS pending_count,
+    SUM(CASE WHEN total_amount > 1000 THEN total_amount ELSE 0 END) AS high_value_amount
+FROM db_name.orders
+WHERE order_date = '${day_id}'
+GROUP BY order_date;
+
+-- ============================================================================
+-- 8. Bitmap 精确去重（Doris 特有）
+-- ============================================================================
+
+-- 使用 bitmap 做精确去重（需要在 Aggregate Key 模型中定义 BITMAP 类型列）
+-- 注意：bitmap 函数只能用于包含 BITMAP 类型列的表
+
+-- 精确去重计数（预计算场景，在 Aggregate Key 表中使用 BITMAP_UNION）
+-- 建表时 Value 列定义：user_id_bitmap BITMAP BITMAP_UNION
+-- 查询时：
+-- SELECT date, bitmap_union_count(user_id_bitmap) AS uv FROM table GROUP BY date;
+
+-- HLL 近似去重
+-- 建表时 Value 列定义：user_id_hll HLL HLL_UNION
+-- 查询时：
+-- SELECT date, hll_union_agg(user_id_hll) AS approx_uv FROM table GROUP BY date;