SQL语句更新

SQL.sql

@@ -15,6 +15,7 @@ FROM(
         -- 针对并单号情况，统计总行数加逗号个数得到总订单数量
         COUNT(platform_order_no) + 
         SUM(LENGTH(platform_order_no) - LENGTH(REPLACE(platform_order_no, ',', ''))) AS '订单数量'
+    FROM
         dwd_trade_hkaudit_ecommerce_sale_mt
     WHERE
         order_date >= '2022-01-01 00:00:00'
@@ -31,7 +32,7 @@ LEFT JOIN(
     FROM(
         SELECT
             -- 将拆分后的单个订单号作为分组和查询的键
-            single_order_id AS platform_order_no,
+            single_order_id AS single_order_no,
             MIN(store_code) AS store_code,
             MIN(order_date) AS order_date
         FROM(
@@ -131,7 +132,7 @@ order BY
 SELECT
     goods_barcode,
     year(order_date) as '年份',
-    sum(good_qty) as '产品数量',
+    sum(goods_qty) as '产品数量',
     order_settle_amt as '销售金额'
 FROM
     dwd_trade_hkaudit_ecommerce_sale_mt
@@ -145,33 +146,41 @@ order BY
 
 -- 线下每年各产品数量、产品销售金额
 -- (订单号重复，根据订单号groupby后失去产品信息，小票支付表仅有订单号可关联，如何计算？)
+-- 根据商品标价比例计算实际金额
 SELECT 
-    YEAR(b.pay_time) as '年份',
-    a.goods_name as '商品名称',
-    a.goods_barcode as '商品条码',
-    SUM(a.good_qty) as '产品数量',
-    ROUND(SUM(b.pay_amt), 2) as '销售金额'
+    YEAR(b.pay_time) AS '年份',
+    a.goods_barcode AS '商品条码',
+    SUM(a.qty) AS '产品数量',
+    ROUND(SUM(b.total_real_amt * (a.goods_amt) / b.price_tag), 2) AS '销售金额'
 FROM (
     SELECT
         platform_order_no,
-        goods_name,
         goods_barcode,
-        good_qty
+        goods_amt
+        price,
+        qty
     FROM dwd_trade_hkaudit_shop_receipt_mt
 ) a
 INNER JOIN(
     SELECT
         platform_order_no,
-        MAX(pay_date) as pay_time,
-        SUM(pay_amt) as pay_amt
-    FROM dwd_trade_hkaudit_shop_receipt_pay_mt
-    WHERE pay_date >= '2022-01-01 00:00:00'
-        AND pay_date < '2025-07-01 00:00:00'
-        AND pay_amt > 0  
+        SUM(goods_amt) as price_tag
+    FROM dwd_trade_hkaudit_shop_receipt_mt
     GROUP BY platform_order_no
-) b ON a.platform_order_no = b.platform_order_no
-GROUP BY YEAR(b.pay_time), a.goods_name, a.goods_barcode
-ORDER BY 年份, 销售金额 DESC;
+) b
+    ON a.platform_order_no = b.platform_order_no
+INNER JOIN (
+    SELECT
+        platform_order_no,
+        SUM(pay_amt) as total_real_amt
+    FROM dwd_trade_hkaudit_shop_receipt_pay_mt
+    GROUP BY platform_order_no
+) c ON 
+    a.platform_order_no = c.platform_order_no
+GROUP BY 
+    YEAR(b.pay_time), a.goods_barcode
+ORDER BY 
+    年份, 销售金额 DESC;
 
 
 -- 线上每年前五店铺金额分布
@@ -235,33 +244,48 @@ order BY
 
 -- 线上每年单笔订单金额分布
 -- (并单如何考虑单笔金额？)
+-- 单个订单号使用订单均摊金额，并单号均分金额
 SELECT
-    YEAR(order_date) AS '年份',
+    YEAR(a.order_date) AS '年份',
     a.money_area AS '单笔订单金额',
-    count(a.platform_order_no) as '订单数量',
-    ROUND(sum(a.order_settle_amt),2) AS '销售金额'
+    count(a.split_item) as '订单数量',
+    ROUND(sum(a.split_amount),2) AS '销售金额'
 FROM(
     SELECT 
-        order_settle_amt,
-        platform_order_no,
+        single.split_amount,
+        single.split_item,
+        single.order_date,
     CASE 
-        WHEN order_settle_amt >0 AND order_settle_amt <10 THEN '0-10'
-        WHEN order_settle_amt >=10 AND order_settle_amt <50 THEN '10-50'
-        WHEN order_settle_amt >=50 AND order_settle_amt <100 THEN '50-100'
-        WHEN order_settle_amt >=100 AND order_settle_amt <500 THEN '100-500'
-        WHEN order_settle_amt >=500 AND order_settle_amt <1000 THEN '500-1000'
-        WHEN order_settle_amt >=1000 AND order_settle_amt <5000 THEN '1000-5000'
-        WHEN order_settle_amt >=5000 AND order_settle_amt <10000 THEN '5000-10000'
-        WHEN order_settle_amt >=10000  THEN '10000及以上'
+        WHEN single.split_amount >0 AND single.split_amount <10 THEN '0-10'
+        WHEN single.split_amount >=10 AND single.split_amount <50 THEN '10-50'
+        WHEN single.split_amount >=50 AND single.split_amount <100 THEN '50-100'
+        WHEN single.split_amount >=100 AND single.split_amount <500 THEN '100-500'
+        WHEN single.split_amount >=500 AND single.split_amount <1000 THEN '500-1000'
+        WHEN single.split_amount >=1000 AND single.split_amount <5000 THEN '1000-5000'
+        WHEN single.split_amount >=5000 AND single.split_amount <10000 THEN '5000-10000'
+        WHEN single.split_amount >=10000  THEN '10000及以上'
     END AS money_area
+    FROM(
+        SELECT
+            order_date,
+            split_item,
+            goods_amt / length(split_array) as split_amount  -- 金额均分
+        FROM (
+            SELECT
+                order_date,
+                goods_amt,
+                splitByChar(',', platform_order_no) as split_array 
             FROM 
                 dwd_trade_hkaudit_ecommerce_sale_mt
             WHERE 
                 order_date >='2022-01-01 00:00:00'
                 AND order_date <'2025-07-01 00:00:00'
+        ) single
+        ARRAY JOIN split_array AS split_item
+    ) 
 ) a
 GROUP BY 
-    a.money_area
+    YEAR(a.order_date),a.money_area
 ORDER BY 
     年份,
     CASE a.money_area
@@ -517,14 +541,36 @@ ORDER BY store_code, 年份,
 
 -- 线上每年订单下单和发货间隔的销售金额、订单数量分布
 -- (并单如何考虑下单时间？)
+-- 视为同一时间下单
 SELECT
-
-    CASE
+    CASE timestampdiff(day,deliver_date,order_date)
+        WHEN 0 THEN '当天'
+        WHEN 1 THEN '1天'
+        WHEN 2 THEN '2天'
+        WHEN 3 THEN '3天'
+        WHEN 4 THEN '4天'
+        ELSE '5天及以上'
+    END AS '发货间隔',
+    SUM(order_settle_amt) AS '销售金额',
+    COUNT(platform_order_no) + 
+    SUM(LENGTH(platform_order_no) - LENGTH(REPLACE(platform_order_no, ',', ''))) AS '订单数量'
 FROM
     dwd_trade_hkaudit_ecommerce_sale_mt sales
 WHERE
     order_date >= '2022-01-01 00:00:00'
     AND order_date < '2025-07-31 00:00:00'
+GROUP BY
+    发货间隔
+ORDER BY
+    CASE 发货间隔
+        WHEN '当天' THEN 1
+        WHEN '1天' THEN 2
+        WHEN '2天' THEN 3
+        WHEN '3天' THEN 4
+        WHEN '4天' THEN 5
+        WHEN '5天及以上' THEN 6
+    END;
+
 
 -- 线上每年各物流承运商销售金额、订单数量
 SELECT
@@ -543,7 +589,40 @@ GROUP BY
 order BY 年份, carrier;
 
 -- 线上每年退款大于原销售的差异金额、订单数量
-
+SELECT
+    store_code AS '店铺编码',
+    YEAR(order_date) AS '年份',
+    ROUND(SUM(excess_refund), 2) AS '差异金额',
+    COUNT(*) AS '订单数量'
+FROM (
+    SELECT
+        s.store_code,
+        s.order_date,
+        s.order_settle_amt AS sale_amt,
+        COALESCE(r.return_amt, 0) + COALESCE(c.change_amt, 0) AS refund_amt,
+        CASE 
+            WHEN (COALESCE(r.return_amt, 0) + COALESCE(c.change_amt, 0)) > ABS(s.order_settle_amt) 
+            THEN (COALESCE(r.return_amt, 0) + COALESCE(c.change_amt, 0)) - ABS(s.order_settle_amt)
+            ELSE 0
+        END AS excess_refund
+    FROM dwd_trade_hkaudit_ecommerce_sale_mt s
+    LEFT JOIN (
+        SELECT platform_order_no, SUM(return_goods_amt) AS return_amt
+        FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
+        GROUP BY platform_order_no
+    ) r ON s.platform_order_no = r.platform_order_no
+    LEFT JOIN (
+        SELECT platform_order_no, SUM(special_barcode_amt) AS change_amt
+        FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
+        GROUP BY platform_order_no
+    ) c ON s.platform_order_no = c.platform_order_no
+    WHERE (r.return_amt IS NOT NULL OR c.change_amt IS NOT NULL)
+        AND s.order_date >= '2022-01-01 00:00:00'
+        AND s.order_date < '2025-07-01 00:00:00'
+) excess_data
+WHERE excess_refund > 0
+GROUP BY store_code, YEAR(order_date)
+ORDER BY 年份, 超额退款总金额 DESC;
 
 
 -- 线下每年退款大于原销售的差异金额、订单数量
@@ -558,7 +637,7 @@ FROM (
         SUM(CASE WHEN pay_amt < 0 THEN ABS(pay_amt) ELSE 0 END) AS total_refund,
         MAX(pay_date) AS pay_time
     FROM dwd_trade_hkaudit_shop_receipt_pay_mt
-    GROUP BY order_id
+    GROUP BY receipt_no
     HAVING total_refund > total_sale
 )
 GROUP BY YEAR(pay_time);