diff --git a/底稿/CAATS数据分析 22.01.01~25.06.30 - 副本 (2).xlsx b/底稿/CAATS数据分析 22.01.01~25.06.30 - 副本 (2).xlsx new file mode 100644 index 0000000..10d8ada Binary files /dev/null and b/底稿/CAATS数据分析 22.01.01~25.06.30 - 副本 (2).xlsx differ diff --git a/底稿/CAATS数据分析 22.01.01~25.06.30.xlsx b/底稿/CAATS数据分析 22.01.01~25.06.30.xlsx index 10d8ada..f2a42d2 100644 Binary files a/底稿/CAATS数据分析 22.01.01~25.06.30.xlsx and b/底稿/CAATS数据分析 22.01.01~25.06.30.xlsx differ diff --git a/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2022.png b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2022.png new file mode 100644 index 0000000..1c33d8a Binary files /dev/null and b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2022.png differ diff --git a/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2023.png b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2023.png new file mode 100644 index 0000000..a75a287 Binary files /dev/null and b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2023.png differ diff --git a/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2024.png b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2024.png new file mode 100644 index 0000000..c73ee1d Binary files /dev/null and b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/2024.png differ diff --git a/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/202501-202506.png b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/202501-202506.png new file mode 100644 index 0000000..cfd7e62 Binary files /dev/null and b/底稿/附件/1 执行截图/CAATS-01-03 数据质量评估/线上零售金额核对/202501-202506.png differ diff --git a/底稿/附件/2 执行SQL/CAATS-01-03 数据质量评估.txt b/底稿/附件/2 执行SQL/CAATS-01-03 数据质量评估.txt new file mode 100644 index 0000000..eef1c9c --- /dev/null +++ b/底稿/附件/2 执行SQL/CAATS-01-03 数据质量评估.txt @@ -0,0 +1,141 @@ +SQL1: +SELECT a.amt + b.amt + c.amt + d.amt + f.amt + g.amt AS "2022零售金额（按照分销价）" FROM +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) a, +(SELECT SUM(goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) b, +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) c, +(SELECT SUM(return_goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) d, +(SELECT SUM(special_barcode_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_change_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3')) f, +(SELECT SUM(freight_amt) AS amt FROM + (SELECT MAX(order_freight_amt) AS freight_amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2022-01-01 00:00:00' AND mgclear_time <= '2022-12-31 23:59:59' AND source_system LIKE 'EC%' GROUP BY system_order_no)) g; + +SQL2: +SELECT a.amt + b.amt + c.amt + d.amt + f.amt + g.amt AS "2023零售金额（按照分销价）" FROM +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) a, +(SELECT SUM(goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) b, +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) c, +(SELECT SUM(return_goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) d, +(SELECT SUM(special_barcode_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_change_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3')) f, +(SELECT SUM(freight_amt) AS amt FROM + (SELECT MAX(order_freight_amt) AS freight_amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2023-01-01 00:00:00' AND mgclear_time <= '2023-12-31 23:59:59' AND source_system LIKE 'EC%' GROUP BY system_order_no)) g; + +SQL3: +SELECT a.amt + b.amt + c.amt + d.amt + f.amt AS "2024零售金额（按照分销价）" FROM +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2024-01-01 00:00:00' AND mgclear_time <= '2024-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) a, +(SELECT SUM(goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2024-01-01 00:00:00' AND mgclear_time <= '2024-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) b, +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2024-01-01 00:00:00' AND mgclear_time <= '2024-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) c, +(SELECT SUM(return_goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2024-01-01 00:00:00' AND mgclear_time <= '2024-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) d, +(SELECT SUM(special_barcode_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_change_mt + WHERE mgclear_time >= '2024-01-01 00:00:00' AND mgclear_time <= '2024-12-31 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3')) f; + +SQL4: +SELECT a.amt + b.amt + c.amt + d.amt + f.amt AS "202501-202506零售金额（按照分销价）" FROM +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2025-01-01 00:00:00' AND mgclear_time <= '2025-06-30 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) a, +(SELECT SUM(goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_mt + WHERE mgclear_time >= '2025-01-01 00:00:00' AND mgclear_time <= '2025-06-30 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) b, +(SELECT SUM(dec01) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2025-01-01 00:00:00' AND mgclear_time <= '2025-06-30 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) c, +(SELECT SUM(return_goods_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_return_mt + WHERE mgclear_time >= '2025-01-01 00:00:00' AND mgclear_time <= '2025-06-30 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3') + AND brand_code <> 'VPG' AND store_code NOT IN (SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE dec01 <> 0)) d, +(SELECT SUM(special_barcode_amt) AS amt FROM dwd_trade_hkaudit_ecommerce_sale_change_mt + WHERE mgclear_time >= '2025-01-01 00:00:00' AND mgclear_time <= '2025-06-30 23:59:59' AND source_system NOT IN ('SBZ_HIS_NEW', 'JXHE3', 'SBZE3_NEW3')) f; + +SQL5: +SELECT a.perYear AS "年份", + a.brandCode AS "品牌编码", + SUM(a.amount + b.billGoodsAmt) AS "净销售金额（元）" +FROM (SELECT perYear, brandCode, + SUM(goodsAmt) + SUM(returnGoodsAmt) + SUM(orderChangeAmt) AS amount +FROM (SELECT + t1.perYear AS perYear, + t1.brand_code_t AS brandCode, + t1.real_goods_amt_t AS goodsAmt, + t2.real_return_goods_amt_t AS returnGoodsAmt, + t3.orderChangeAmt AS orderChangeAmt + FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + MAX(brand_code) AS brand_code_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT mgclear_time, store_code, brand_code, real_goods_amt FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'JXH' + UNION ALL + SELECT mgclear_time, store_code, brand_code, real_goods_amt FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + UNION ALL + SELECT mgclear_time, store_code, brand_code, goods_amt AS real_goods_amt FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'JXH' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code + LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'JXH' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code +) GROUP BY perYear, brandCode) a +LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, brand_code, SUM(goods_amt) AS billGoodsAmt + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'JXH' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), brand_code +) b ON a.perYear = b.perYear AND a.brandCode = b.brand_code +GROUP BY a.perYear, a.brandCode ORDER BY a.perYear; + +SQL6: +SELECT SUBSTR(sale_date, 1, 4),brand_code, SUM(goods_amt) FROM custom_offline_sale_return_local cosrl +WHERE SUBSTR(sale_date, 1, 10) >= '2024-05-01' AND SUBSTR(sale_date, 1, 10) <= '2025-06-30' AND brand_code IN ('SBZ', 'JXH') +GROUP BY SUBSTR(sale_date, 1, 4), brand_code; \ No newline at end of file diff --git a/底稿/附件/2 执行SQL/CAATS-01-04 分析指标汇总-线上.txt b/底稿/附件/2 执行SQL/CAATS-01-04 分析指标汇总-线上.txt new file mode 100644 index 0000000..4231f29 --- /dev/null +++ b/底稿/附件/2 执行SQL/CAATS-01-04 分析指标汇总-线上.txt @@ -0,0 +1,3036 @@ +SQL1: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量", + ROUND((SUM(real_goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(order_time_t, 1, 4), store_code +ORDER BY SUBSTR(order_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL2: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(order_time, 1, 4), store_code +ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC; + +SQL3: +SELECT + SUBSTR(mgclear_time_t, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量", + ROUND((SUM(real_goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL4: +SELECT + SUBSTR(mgclear_time, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt) DESC; + +SQL5: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t1.orderFreightAmt) AS "运费金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t2.returnFreightAmt) AS "退货运费金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name_t) AS storeName, + platform_order_no, + MIN(order_time_t) AS orderTime, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT store_code, platform_order_no, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM custom_online_sale_return_local + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL6: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.store_name AS "店铺名称", + t1.sale_amount AS "销售金额（元）", + t2.return_amount AS "退货金额（元）", + t1.sale_amount + t2.return_amount AS "净销售金额（元）" +FROM (SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + MAX(store_name) AS store_name, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC; + +SQL7: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name) AS storeName, + platform_order_no, + MIN(order_time) AS orderTime, + SUM(real_goods_amt_order_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM custom_online_sale_return_local + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL8: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t1.orderFreightAmt) AS "运费金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t2.returnFreightAmt) AS "退货运费金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name_t) AS storeName, + platform_order_no, + MIN(order_time_t) AS orderTime, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT store_code, platform_order_no, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM custom_online_sale_return_local + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL9: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.store_name AS "店铺名称", + t1.sale_amount AS "销售金额（元）", + t2.return_amount AS "退货金额（元）", + t1.sale_amount + t2.return_amount AS "净销售金额（元）" +FROM (SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + MAX(store_name) AS store_name, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC; + +SQL10: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name) AS storeName, + platform_order_no, + MIN(order_time) AS orderTime, + SUM(real_goods_amt_order_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM custom_online_sale_return_local + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL11: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.storeName AS "店铺名称", + t1.goodsAmt AS "销售金额（元）", + t1.orderFreightAmt AS "运费金额（元）", + t2.returnGoodsAmt AS "退货金额（元）", + t2.returnFreightAmt AS "退货运费金额（元）", + t3.orderChangeAmt AS "发货调整金额（元）", + t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt + + t2.returnFreightAmt + t3.orderChangeAmt AS "净销售金额（元）" +FROM ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + MAX(store_name_t) AS storeName, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code +ORDER BY t1.perYear, t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt + + t2.returnFreightAmt + t3.orderChangeAmt DESC; + +SQL12: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.store_name AS "店铺名称", + t1.sale_amount AS "销售金额（元）", + t2.return_amount AS "退货金额（元）", + t1.sale_amount + t2.return_amount AS "净销售金额（元）" +FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + MAX(store_name) AS store_name, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC; + +SQL13: +SELECT + SUBSTR(t1.mgclearTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name) AS storeName, + platform_order_no, + MIN(mgclear_time) AS mgclearTime, + SUM(real_goods_amt_mgclear_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.mgclearTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.mgclearTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL14: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.storeName AS "店铺名称", + t1.goodsAmt AS "销售金额（元）", + t1.orderFreightAmt AS "运费金额（元）", + t2.returnGoodsAmt AS "退货金额（元）", + t2.returnFreightAmt AS "退货运费金额（元）", + t3.orderChangeAmt AS "发货调整金额（元）", + t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt + + t2.returnFreightAmt + t3.orderChangeAmt AS "净销售金额（元）" +FROM ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + MAX(store_name_t) AS storeName, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code +ORDER BY t1.perYear, t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt + + t2.returnFreightAmt + t3.orderChangeAmt DESC; + +SQL15: +SELECT + t1.perYear AS "年份", + t1.store_code AS "店铺编码", + t1.store_name AS "店铺名称", + t1.sale_amount AS "销售金额（元）", + t2.return_amount AS "退货金额（元）", + t1.sale_amount + t2.return_amount AS "净销售金额（元）" +FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + MAX(store_name) AS store_name, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC; + +SQL16: +SELECT + SUBSTR(t1.mgclearTime, 1, 4) AS "年份", + t1.store_code AS "店铺编码", + MAX(t1.storeName) AS "店铺名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(store_name) AS storeName, + platform_order_no, + MIN(mgclear_time) AS mgclearTime, + SUM(real_goods_amt_mgclear_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.mgclearTime, 1, 4), t1.store_code +ORDER BY SUBSTR(t1.mgclearTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL17: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.brandCode AS "品牌编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t1.orderFreightAmt) AS "运费金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t2.returnFreightAmt) AS "退货运费金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code_t) AS brandCode, + platform_order_no, + MIN(order_time_t) AS orderTime, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(brand_code) AS brand_code_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT store_code, platform_order_no, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM custom_online_sale_return_local + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL18: +SELECT + perYear AS "年份", + brand_code AS "品牌编码", + CASE WHEN brand_code = 'HLA' THEN '海澜之家' + WHEN brand_code = 'HJS' THEN '黑鲸' + WHEN brand_code = 'NCL' THEN '男生女生' + WHEN brand_code = 'YEO' THEN '英式' + WHEN brand_code = 'OVV' THEN 'OVV' + WHEN brand_code = 'HLM' THEN '海澜优选' + WHEN brand_code = 'QIT' THEN '其他' + WHEN brand_code = 'SBZ' THEN '斯搏兹' + WHEN brand_code = 'AEX' THEN 'AEX' + WHEN brand_code = 'BES' THEN '海一家' + WHEN brand_code = 'HGS' THEN '蓝鲸' + WHEN brand_code = 'HED' THEN 'HEAD' + WHEN brand_code = 'VPG' THEN 'VPG' + WHEN brand_code = 'HLP' THEN 'HLA PLUS' + WHEN brand_code = 'JXH' THEN '京新海' + WHEN brand_code = 'LHB' THEN '企业购' + WHEN brand_code = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brand_code = 'DIY' THEN '致加' + WHEN brand_code = 'HEA' THEN 'HEAD AURA' + ELSE brand_code + END AS "品牌名称", + SUM(sale_amount) AS "销售金额（元）", + SUM(return_amount) AS "退货金额（元）", + SUM(sale_amount) + SUM(return_amount) AS "净销售金额（元）" +FROM (SELECT + t1.perYear, + t1.brand_code, + t1.sale_amount, + t2.return_amount + FROM (SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + MAX(brand_code) AS brand_code, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +) +GROUP BY perYear, brand_code +ORDER BY perYear, (SUM(sale_amount) + SUM(return_amount)) DESC; + +SQL19: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.brandCode AS "品牌编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code) AS brandCode, + platform_order_no, + MIN(order_time) AS orderTime, + SUM(real_goods_amt_order_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM custom_online_sale_return_local + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL20: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.brandCode AS "品牌编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t1.orderFreightAmt) AS "运费金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t2.returnFreightAmt) AS "退货运费金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code_t) AS brandCode, + platform_order_no, + MIN(order_time_t) AS orderTime, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(brand_code) AS brand_code_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT store_code, platform_order_no, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM custom_online_sale_return_local + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t1.orderFreightAmt) + SUM(t2.returnGoodsAmt) + + SUM(t2.returnFreightAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL21: +SELECT + perYear AS "年份", + brand_code AS "品牌编码", + CASE WHEN brand_code = 'HLA' THEN '海澜之家' + WHEN brand_code = 'HJS' THEN '黑鲸' + WHEN brand_code = 'NCL' THEN '男生女生' + WHEN brand_code = 'YEO' THEN '英式' + WHEN brand_code = 'OVV' THEN 'OVV' + WHEN brand_code = 'HLM' THEN '海澜优选' + WHEN brand_code = 'QIT' THEN '其他' + WHEN brand_code = 'SBZ' THEN '斯搏兹' + WHEN brand_code = 'AEX' THEN 'AEX' + WHEN brand_code = 'BES' THEN '海一家' + WHEN brand_code = 'HGS' THEN '蓝鲸' + WHEN brand_code = 'HED' THEN 'HEAD' + WHEN brand_code = 'VPG' THEN 'VPG' + WHEN brand_code = 'HLP' THEN 'HLA PLUS' + WHEN brand_code = 'JXH' THEN '京新海' + WHEN brand_code = 'LHB' THEN '企业购' + WHEN brand_code = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brand_code = 'DIY' THEN '致加' + WHEN brand_code = 'HEA' THEN 'HEAD AURA' + ELSE brand_code + END AS "品牌名称", + SUM(sale_amount) AS "销售金额（元）", + SUM(return_amount) AS "退货金额（元）", + SUM(sale_amount) + SUM(return_amount) AS "净销售金额（元）" +FROM (SELECT + t1.perYear, + t1.brand_code, + t1.sale_amount, + t2.return_amount + FROM (SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + MAX(brand_code) AS brand_code, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(order_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(order_time, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +) +GROUP BY perYear, brand_code +ORDER BY perYear, (SUM(sale_amount) + SUM(return_amount)) DESC; + +SQL22: +SELECT + SUBSTR(t1.orderTime, 1, 4) AS "年份", + t1.brandCode AS "品牌编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code) AS brandCode, + platform_order_no, + MIN(order_time) AS orderTime, + SUM(real_goods_amt_order_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM custom_online_sale_return_local + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM custom_online_sale_change_local + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.orderTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.orderTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL23: +SELECT + perYear AS "年份", + brandCode AS "品牌编码", + CASE WHEN brandCode = 'HLA' THEN '海澜之家' + WHEN brandCode = 'HJS' THEN '黑鲸' + WHEN brandCode = 'NCL' THEN '男生女生' + WHEN brandCode = 'YEO' THEN '英式' + WHEN brandCode = 'OVV' THEN 'OVV' + WHEN brandCode = 'HLM' THEN '海澜优选' + WHEN brandCode = 'QIT' THEN '其他' + WHEN brandCode = 'SBZ' THEN '斯搏兹' + WHEN brandCode = 'AEX' THEN 'AEX' + WHEN brandCode = 'BES' THEN '海一家' + WHEN brandCode = 'HGS' THEN '蓝鲸' + WHEN brandCode = 'HED' THEN 'HEAD' + WHEN brandCode = 'VPG' THEN 'VPG' + WHEN brandCode = 'HLP' THEN 'HLA PLUS' + WHEN brandCode = 'JXH' THEN '京新海' + WHEN brandCode = 'LHB' THEN '企业购' + WHEN brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brandCode = 'DIY' THEN '致加' + WHEN brandCode = 'HEA' THEN 'HEAD AURA' + ELSE brandCode + END AS "品牌名称", + SUM(goodsAmt) AS "销售金额（元）", + SUM(orderFreightAmt) AS "运费金额（元）", + SUM(returnGoodsAmt) AS "退货金额（元）", + SUM(returnFreightAmt) AS "退货运费金额（元）", + SUM(orderChangeAmt) AS "发货调整金额（元）", + SUM(goodsAmt) + SUM(orderFreightAmt) + SUM(returnGoodsAmt) + + SUM(returnFreightAmt) + SUM(orderChangeAmt) AS "净销售金额（元）" +FROM (SELECT + t1.perYear AS perYear, + t1.brand_code_t_t AS brandCode, + t1.goodsAmt AS goodsAmt, + t1.orderFreightAmt AS orderFreightAmt, + t2.returnFreightAmt AS returnFreightAmt, + t2.returnGoodsAmt AS returnGoodsAmt, + t3.orderChangeAmt AS orderChangeAmt + FROM ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + MAX(brand_code_t) AS brand_code_t_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(brand_code) AS brand_code_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code + LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code +) GROUP BY perYear, brandCode +ORDER BY perYear, SUM(goodsAmt) + SUM(orderFreightAmt) + SUM(returnGoodsAmt) + + SUM(returnFreightAmt) + SUM(orderChangeAmt) DESC; + +SQL24: +SELECT + perYear AS "年份", + brand_code AS "品牌编码", + CASE WHEN brand_code = 'HLA' THEN '海澜之家' + WHEN brand_code = 'HJS' THEN '黑鲸' + WHEN brand_code = 'NCL' THEN '男生女生' + WHEN brand_code = 'YEO' THEN '英式' + WHEN brand_code = 'OVV' THEN 'OVV' + WHEN brand_code = 'HLM' THEN '海澜优选' + WHEN brand_code = 'QIT' THEN '其他' + WHEN brand_code = 'SBZ' THEN '斯搏兹' + WHEN brand_code = 'AEX' THEN 'AEX' + WHEN brand_code = 'BES' THEN '海一家' + WHEN brand_code = 'HGS' THEN '蓝鲸' + WHEN brand_code = 'HED' THEN 'HEAD' + WHEN brand_code = 'VPG' THEN 'VPG' + WHEN brand_code = 'HLP' THEN 'HLA PLUS' + WHEN brand_code = 'JXH' THEN '京新海' + WHEN brand_code = 'LHB' THEN '企业购' + WHEN brand_code = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brand_code = 'DIY' THEN '致加' + WHEN brand_code = 'HEA' THEN 'HEAD AURA' + ELSE brand_code + END AS "品牌名称", + SUM(sale_amount) AS "销售金额（元）", + SUM(return_amount) AS "退货金额（元）", + SUM(sale_amount) + SUM(return_amount) AS "净销售金额（元）" +FROM (SELECT + t1.perYear, + t1.brand_code, + t1.sale_amount, + t2.return_amount + FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + MAX(brand_code) AS brand_code, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +) +GROUP BY perYear, brand_code +ORDER BY perYear, (SUM(sale_amount) + SUM(return_amount)) DESC; + +SQL25: +SELECT + SUBSTR(t1.mgclearTime, 1, 4) AS "年份", + t1.brandCode AS "店铺编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code) AS brandCode, + platform_order_no, + MIN(mgclear_time) AS mgclearTime, + SUM(real_goods_amt_mgclear_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.mgclearTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.mgclearTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL26: +SELECT + perYear AS "年份", + brandCode AS "品牌编码", + CASE WHEN brandCode = 'HLA' THEN '海澜之家' + WHEN brandCode = 'HJS' THEN '黑鲸' + WHEN brandCode = 'NCL' THEN '男生女生' + WHEN brandCode = 'YEO' THEN '英式' + WHEN brandCode = 'OVV' THEN 'OVV' + WHEN brandCode = 'HLM' THEN '海澜优选' + WHEN brandCode = 'QIT' THEN '其他' + WHEN brandCode = 'SBZ' THEN '斯搏兹' + WHEN brandCode = 'AEX' THEN 'AEX' + WHEN brandCode = 'BES' THEN '海一家' + WHEN brandCode = 'HGS' THEN '蓝鲸' + WHEN brandCode = 'HED' THEN 'HEAD' + WHEN brandCode = 'VPG' THEN 'VPG' + WHEN brandCode = 'HLP' THEN 'HLA PLUS' + WHEN brandCode = 'JXH' THEN '京新海' + WHEN brandCode = 'LHB' THEN '企业购' + WHEN brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brandCode = 'DIY' THEN '致加' + WHEN brandCode = 'HEA' THEN 'HEAD AURA' + ELSE brandCode + END AS "品牌名称", + SUM(goodsAmt) AS "销售金额（元）", + SUM(orderFreightAmt) AS "运费金额（元）", + SUM(returnGoodsAmt) AS "退货金额（元）", + SUM(returnFreightAmt) AS "退货运费金额（元）", + SUM(orderChangeAmt) AS "发货调整金额（元）", + SUM(goodsAmt) + SUM(orderFreightAmt) + SUM(returnGoodsAmt) + + SUM(returnFreightAmt) + SUM(orderChangeAmt) AS "净销售金额（元）" +FROM (SELECT + t1.perYear AS perYear, + t1.brand_code_t_t AS brandCode, + t1.goodsAmt AS goodsAmt, + t1.orderFreightAmt AS orderFreightAmt, + t2.returnFreightAmt AS returnFreightAmt, + t2.returnGoodsAmt AS returnGoodsAmt, + t3.orderChangeAmt AS orderChangeAmt + FROM ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + MAX(brand_code_t) AS brand_code_t_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt + FROM (SELECT + store_code, + MAX(brand_code) AS brand_code_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + store_code, + SUM(return_freight_amt_t) AS returnFreightAmt, + SUM(real_return_goods_amt_t) AS returnGoodsAmt + FROM (SELECT + store_code, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code + LEFT JOIN ( + SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code +) GROUP BY perYear, brandCode +ORDER BY perYear, SUM(goodsAmt) + SUM(orderFreightAmt) + SUM(returnGoodsAmt) + + SUM(returnFreightAmt) + SUM(orderChangeAmt) DESC; + +SQL27: +SELECT + perYear AS "年份", + brand_code AS "品牌编码", + CASE WHEN brand_code = 'HLA' THEN '海澜之家' + WHEN brand_code = 'HJS' THEN '黑鲸' + WHEN brand_code = 'NCL' THEN '男生女生' + WHEN brand_code = 'YEO' THEN '英式' + WHEN brand_code = 'OVV' THEN 'OVV' + WHEN brand_code = 'HLM' THEN '海澜优选' + WHEN brand_code = 'QIT' THEN '其他' + WHEN brand_code = 'SBZ' THEN '斯搏兹' + WHEN brand_code = 'AEX' THEN 'AEX' + WHEN brand_code = 'BES' THEN '海一家' + WHEN brand_code = 'HGS' THEN '蓝鲸' + WHEN brand_code = 'HED' THEN 'HEAD' + WHEN brand_code = 'VPG' THEN 'VPG' + WHEN brand_code = 'HLP' THEN 'HLA PLUS' + WHEN brand_code = 'JXH' THEN '京新海' + WHEN brand_code = 'LHB' THEN '企业购' + WHEN brand_code = 'HLX' THEN '海澜之家甄选好鞋' + WHEN brand_code = 'DIY' THEN '致加' + WHEN brand_code = 'HEA' THEN 'HEAD AURA' + ELSE brand_code + END AS "品牌名称", + SUM(sale_amount) AS "销售金额（元）", + SUM(return_amount) AS "退货金额（元）", + SUM(sale_amount) + SUM(return_amount) AS "净销售金额（元）" +FROM (SELECT + t1.perYear, + t1.brand_code, + t1.sale_amount, + t2.return_amount + FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + MAX(brand_code) AS brand_code, + SUM(goods_amt) AS sale_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t1 LEFT JOIN ( + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + store_code, + SUM(goods_amt) AS return_amount + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), store_code + ) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code +) +GROUP BY perYear, brand_code +ORDER BY perYear, (SUM(sale_amount) + SUM(return_amount)) DESC; + +SQL28: +SELECT + SUBSTR(t1.mgclearTime, 1, 4) AS "年份", + t1.brandCode AS "店铺编码", + CASE WHEN t1.brandCode = 'HLA' THEN '海澜之家' + WHEN t1.brandCode = 'HJS' THEN '黑鲸' + WHEN t1.brandCode = 'NCL' THEN '男生女生' + WHEN t1.brandCode = 'YEO' THEN '英式' + WHEN t1.brandCode = 'OVV' THEN 'OVV' + WHEN t1.brandCode = 'HLM' THEN '海澜优选' + WHEN t1.brandCode = 'QIT' THEN '其他' + WHEN t1.brandCode = 'SBZ' THEN '斯搏兹' + WHEN t1.brandCode = 'AEX' THEN 'AEX' + WHEN t1.brandCode = 'BES' THEN '海一家' + WHEN t1.brandCode = 'HGS' THEN '蓝鲸' + WHEN t1.brandCode = 'HED' THEN 'HEAD' + WHEN t1.brandCode = 'VPG' THEN 'VPG' + WHEN t1.brandCode = 'HLP' THEN 'HLA PLUS' + WHEN t1.brandCode = 'JXH' THEN '京新海' + WHEN t1.brandCode = 'LHB' THEN '企业购' + WHEN t1.brandCode = 'HLX' THEN '海澜之家甄选好鞋' + WHEN t1.brandCode = 'DIY' THEN '致加' + WHEN t1.brandCode = 'HEA' THEN 'HEAD AURA' + ELSE t1.brandCode + END AS "品牌名称", + SUM(t1.goodsAmt) AS "销售金额（元）", + SUM(t2.returnGoodsAmt) AS "退货金额（元）", + SUM(t3.orderChangeAmt) AS "发货调整金额（元）", + SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) AS "净销售金额（元）" +FROM ( + SELECT + store_code, + MAX(brand_code) AS brandCode, + platform_order_no, + MIN(mgclear_time) AS mgclearTime, + SUM(real_goods_amt_mgclear_time) AS goodsAmt + FROM (SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_abroad_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t1 LEFT JOIN ( + SELECT + store_code, + platform_order_no, + SUM(return_goods_qty) AS returnGoodsQty, + SUM(real_return_goods_amt) AS returnGoodsAmt + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no +LEFT JOIN ( + SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS orderChangeAmt + FROM (SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_change_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2024-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, platform_order_no +) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no +GROUP BY SUBSTR(t1.mgclearTime, 1, 4), t1.brandCode +ORDER BY SUBSTR(t1.mgclearTime, 1, 4), SUM(t1.goodsAmt) + SUM(t2.returnGoodsAmt) + SUM(t3.orderChangeAmt) DESC; + +SQL29: +SELECT + SUBSTR(completion_date , 1, 4) AS "年份", + SUM(sales_amount) AS "销售金额" +FROM dwd_trade_hkaudit_company_purchase_order_detail_mt +WHERE completion_date >= '20220101' AND completion_date <= '20250630' +GROUP BY SUBSTR(completion_date, 1, 4) + +SQL30: +SELECT + SUBSTR(completion_date , 1, 4) AS "20240101-0630时间", + SUM(sales_amount) AS "销售金额" +FROM dwd_trade_hkaudit_company_purchase_order_detail_mt +WHERE completion_date >= '20240101' AND completion_date <= '20240630' +GROUP BY SUBSTR(completion_date, 1, 4) +ORDER BY SUBSTR(completion_date, 1, 4); + +SQL31: +SELECT +SUBSTR(bill_date, 1, 4) AS "年份", +SUM(amount) AS "销售金额" +FROM dwd_settleother_hkaudit_scn_out_mt +WHERE bill_date >= '20220101' AND bill_date <= '20250630' +GROUP BY SUBSTR(bill_date, 1, 4) +ORDER BY SUBSTR(bill_date, 1, 4); + +SQL32: +SELECT +SUBSTR(bill_date, 1, 4) AS "20240101-0630时间", +SUM(amount) AS "销售金额" +FROM dwd_settleother_hkaudit_scn_out_mt +WHERE bill_date >= '20240101' AND bill_date <= '20240630' +GROUP BY SUBSTR(bill_date, 1, 4) +ORDER BY SUBSTR(bill_date, 1, 4); + +SQL33: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + SUBSTR(order_time_t, 6, 2) AS "月份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量", + ROUND((SUM(real_goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(order_time_t, 1, 4), SUBSTR(order_time_t, 6, 2), store_code +ORDER BY SUBSTR(order_time_t, 1, 4), store_code, SUBSTR(order_time_t, 6, 2); + +SQL34: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + SUBSTR(order_time, 6, 2) AS "月份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 2), store_code +ORDER BY SUBSTR(order_time, 1, 4), store_code, SUBSTR(order_time, 6, 2); + +SQL35: +SELECT + SUBSTR(mgclear_time_t, 1, 4) AS "年份", + SUBSTR(mgclear_time_t, 6, 2) AS "月份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量", + ROUND((SUM(real_goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2), store_code +ORDER BY SUBSTR(mgclear_time_t, 1, 4), store_code, SUBSTR(mgclear_time_t, 6, 2); + +SQL36: +SELECT + SUBSTR(mgclear_time, 1, 4) AS "年份", + SUBSTR(mgclear_time, 6, 2) AS "月份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2), store_code +ORDER BY SUBSTR(mgclear_time, 1, 4), store_code, SUBSTR(mgclear_time, 6, 2); + +SQL37: +SELECT + t1.perYear AS "年份", + t1.goods_barcode AS "商品条码", + MAX(t2.goods_name) AS "商品名称", + SUM(t1.goods_qty) AS "商品数量", + SUM(t1.goods_amt) AS "商品销售金额（元）" +FROM (SELECT + SUBSTR(min_order_time, 1, 4) AS perYear, + goods_barcode, + goods_qty, + real_goods_amt AS goods_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + UNION ALL + SELECT + SUBSTR(order_time, 1, 4) AS perYear, + goods_barcode, + goods_qty, + goods_amt + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) +) t1 LEFT JOIN ( + SELECT barcode, MAX(goods_desc) AS goods_name + FROM (SELECT barcode, goods_desc FROM dim_hkaudit_goods_mt WHERE country = 'CN' + UNION ALL + SELECT barcode, goods_desc FROM dim_hkaudit_goods_other_mt + ) GROUP BY barcode +) t2 ON t1.goods_barcode = t2.barcode +GROUP BY t1.perYear, t1.goods_barcode +ORDER BY t1.perYear, SUM(t1.goods_amt) DESC; + +SQL38: +SELECT + t1.perYear AS "年份", + t1.goods_barcode AS "商品条码", + MAX(t2.goods_name) AS "商品名称", + SUM(t1.goods_qty) AS "商品数量", + SUM(t1.goods_amt) AS "商品销售金额（元）" +FROM (SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + goods_barcode, + goods_qty, + real_goods_amt AS goods_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + UNION ALL + SELECT + SUBSTR(mgclear_time, 1, 4) AS perYear, + goods_barcode, + goods_qty, + goods_amt + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) +) t1 LEFT JOIN ( + SELECT barcode, MAX(goods_desc) AS goods_name + FROM (SELECT barcode, goods_desc FROM dim_hkaudit_goods_mt WHERE country = 'CN' + UNION ALL + SELECT barcode, goods_desc FROM dim_hkaudit_goods_other_mt + ) GROUP BY barcode +) t2 ON t1.goods_barcode = t2.barcode +GROUP BY t1.perYear, t1.goods_barcode +ORDER BY t1.perYear, SUM(t1.goods_amt) DESC; + +SQL39: +SELECT + a.perYear AS "年份", + a.province_t AS "省份", + a.goodsAmt AS "销售金额（元）", + a.orderFreightAmt AS "运费金额（元）", + a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）", + a.order_amt AS "订单数量", + b.all_order_count AS "订单总数量", + ROUND(a.order_amt / b.all_order_count, 4) AS "订单占比" +FROM (SELECT + SUBSTR(order_time_t, 1, 4) AS perYear, + province_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(province) AS province_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND province <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND province <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(order_time_t, 1, 4), province_t +) a LEFT JOIN ( + SELECT + perYear, + SUM(order_amt) AS all_order_count + FROM (SELECT SUBSTR(min_order_time, 1, 4) AS perYear, province, COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND province <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND province <> '' + ) + GROUP BY SUBSTR(min_order_time, 1, 4), province + ) GROUP BY perYear +) b ON a.perYear = b.perYear +ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC; + +SQL40: +SELECT + a.perYear AS "年份", + a.province_t AS "省份", + a.goodsAmt AS "销售金额（元）", + a.orderFreightAmt AS "运费金额（元）", + a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）", + a.order_amt AS "订单数量", + b.all_order_count AS "订单总数量", + ROUND(a.order_amt / b.all_order_count, 4) AS "订单占比" +FROM (SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + province_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(province) AS province_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND province <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND province <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(mgclear_time_t, 1, 4), province_t +) a LEFT JOIN ( + SELECT + perYear, + SUM(order_amt) AS all_order_count + FROM (SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, province, COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND province <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND province <> '' + ) + GROUP BY SUBSTR(mgclear_time, 1, 4), province + ) GROUP BY perYear +) b ON a.perYear = b.perYear +ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC; + +SQL41: +SELECT + a.perYear AS "年份", + a.city_grade_t AS "城市等级", + a.goodsAmt AS "销售金额（元）", + a.orderFreightAmt AS "运费金额（元）", + a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）", + a.order_amt AS "订单数量", + b.all_order_count AS "订单总数量", + ROUND(a.order_amt / b.all_order_count, 4) AS "订单占比" +FROM (SELECT + SUBSTR(order_time_t, 1, 4) AS perYear, + city_grade_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(t2.city_grade) AS city_grade_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) t1 + LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city + WHERE t2.city_grade <> '' + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(order_time_t, 1, 4), city_grade_t +) a LEFT JOIN ( + SELECT + perYear, + SUM(order_amt) AS all_order_count + FROM (SELECT SUBSTR(min_order_time, 1, 4) AS perYear, t2.city_grade, COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) t1 + LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city + WHERE t2.city_grade <> '' + GROUP BY SUBSTR(min_order_time, 1, 4), t2.city_grade + ) GROUP BY perYear +) b ON a.perYear = b.perYear +ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC; + +SQL42: +SELECT + a.perYear AS "年份", + a.city_grade_t AS "城市等级", + a.goodsAmt AS "销售金额（元）", + a.orderFreightAmt AS "运费金额（元）", + a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）", + a.order_amt AS "订单数量", + b.all_order_count AS "订单总数量", + ROUND(a.order_amt / b.all_order_count, 4) AS "订单占比" +FROM (SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + city_grade_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(t2.city_grade) AS city_grade_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) t1 + LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city + WHERE t2.city_grade <> '' + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(mgclear_time_t, 1, 4), city_grade_t +) a LEFT JOIN ( + SELECT + perYear, + SUM(order_amt) AS all_order_count + FROM (SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, t2.city_grade, COUNT(DISTINCT platform_order_no) AS order_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) t1 + LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city + WHERE t2.city_grade <> '' + GROUP BY SUBSTR(mgclear_time, 1, 4), t2.city_grade + ) GROUP BY perYear +) b ON a.perYear = b.perYear +ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC; + +SQL43: +SELECT + perYear AS "年份", + consignee_add_t AS "收货地址", + goodsAmt AS "销售金额（元）", + orderFreightAmt AS "运费金额（元）", + saleMoney AS "销售金额（元）（包含运费）", + orderCount AS "订单数量" +FROM (SELECT + SUBSTR(order_time_t, 1, 4) AS perYear, + consignee_add_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS saleMoney, + COUNT(DISTINCT platform_order_no) AS orderCount, + RANK() OVER ( + PARTITION BY SUBSTR(order_time_t, 1, 4) + ORDER BY SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC + ) AS rn + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(consignee_add) AS consignee_add_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND consignee_add <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND consignee_add <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(order_time_t, 1, 4), consignee_add_t +) WHERE rn <= 2000 +ORDER BY perYear, saleMoney DESC; + +SQL44: +SELECT + perYear AS "年份", + consignee_add_t AS "收货地址", + goodsAmt AS "销售金额（元）", + orderFreightAmt AS "运费金额（元）", + saleMoney AS "销售金额（元）（包含运费）", + orderCount AS "订单数量" +FROM (SELECT + SUBSTR(order_time_t, 1, 4) AS perYear, + consignee_add_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS saleMoney, + COUNT(DISTINCT platform_order_no) AS orderCount, + RANK() OVER ( + PARTITION BY SUBSTR(order_time_t, 1, 4) + ORDER BY SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC + ) AS rn + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + CONCAT(MAX(province), MAX(consignee_add)) AS consignee_add_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND consignee_add <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND consignee_add <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(order_time_t, 1, 4), consignee_add_t +) WHERE rn <= 2000 +ORDER BY perYear, saleMoney DESC; + +SQL45: +SELECT + perYear AS "年份", + consignee_add_t AS "收货地址", + goodsAmt AS "销售金额（元）", + orderFreightAmt AS "运费金额（元）", + saleMoney AS "销售金额（元）（包含运费）", + orderCount AS "订单数量" +FROM (SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + consignee_add_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS saleMoney, + COUNT(DISTINCT platform_order_no) AS orderCount, + RANK() OVER ( + PARTITION BY SUBSTR(mgclear_time_t, 1, 4) + ORDER BY SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC + ) AS rn + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(consignee_add) AS consignee_add_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND consignee_add <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND consignee_add <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(mgclear_time_t, 1, 4), consignee_add_t +) WHERE rn <= 2000 +ORDER BY perYear, saleMoney DESC; + +SQL46: +SELECT + perYear AS "年份", + consignee_add_t AS "收货地址", + goodsAmt AS "销售金额（元）", + orderFreightAmt AS "运费金额（元）", + saleMoney AS "销售金额（元）（包含运费）", + orderCount AS "订单数量" +FROM (SELECT + SUBSTR(mgclear_time_t, 1, 4) AS perYear, + consignee_add_t, + SUM(real_goods_amt_t) AS goodsAmt, + SUM(order_freight_amt_t) AS orderFreightAmt, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS saleMoney, + COUNT(DISTINCT platform_order_no) AS orderCount, + RANK() OVER ( + PARTITION BY SUBSTR(mgclear_time_t, 1, 4) + ORDER BY SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC + ) AS rn + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + CONCAT(MAX(province), MAX(consignee_add)) AS consignee_add_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND consignee_add <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND consignee_add <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) + GROUP BY SUBSTR(mgclear_time_t, 1, 4), consignee_add_t +) WHERE rn <= 2000 +ORDER BY perYear, saleMoney DESC; + +SQL47: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + SUBSTR(order_time_t, 6, 5) AS "日期", + SUM(real_goods_amt) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(order_time_t, 1, 4), SUBSTR(order_time_t, 6, 5) +ORDER BY SUBSTR(order_time_t, 1, 4), SUM(real_goods_amt) + SUM(order_freight_amt_t) DESC; + +SQL48: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + SUBSTR(order_time, 6, 5) AS "日期", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 5) +ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC; + +SQL49: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + time_area AS "时间区间", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + CASE WHEN LENGTH(order_time_t) > 10 THEN + CASE + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 0 THEN '0-1点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 1 THEN '1-2点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 2 THEN '2-3点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 3 THEN '3-4点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 4 THEN '4-5点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 5 THEN '5-6点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 6 THEN '6-7点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 7 THEN '7-8点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 8 THEN '8-9点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 9 THEN '9-10点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 10 THEN '10-11点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 11 THEN '11-12点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 12 THEN '12-13点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 13 THEN '13-14点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 14 THEN '14-15点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 15 THEN '15-16点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 16 THEN '16-17点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 17 THEN '17-18点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 18 THEN '18-19点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 19 THEN '19-20点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 20 THEN '20-21点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 21 THEN '21-22点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 22 THEN '22-23点' + WHEN toInt32(SUBSTR(order_time_t, 12, 2)) = 23 THEN '23-24点' + END + ELSE '其他' END AS time_area + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +WHERE time_area <> '其他' +GROUP BY SUBSTR(order_time_t, 1, 4), time_area +ORDER BY SUBSTR(order_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL50: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + time_area AS "时间区间", + SUM(goods_amt) AS "销售金额（元）" +FROM (SELECT + order_time, + CASE + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 0 THEN '0-1点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 1 THEN '1-2点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 2 THEN '2-3点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 3 THEN '3-4点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 4 THEN '4-5点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 5 THEN '5-6点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 6 THEN '6-7点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 7 THEN '7-8点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 8 THEN '8-9点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 9 THEN '9-10点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 10 THEN '10-11点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 11 THEN '11-12点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 12 THEN '12-13点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 13 THEN '13-14点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 14 THEN '14-15点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 15 THEN '15-16点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 16 THEN '16-17点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 17 THEN '17-18点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 18 THEN '18-19点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 19 THEN '19-20点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 20 THEN '20-21点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 21 THEN '21-22点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 22 THEN '22-23点' + WHEN toInt32(SUBSTR(order_time, 12, 2)) = 23 THEN '23-24点' + END AS time_area, + goods_amt + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND LENGTH(order_time) > 10 + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND LENGTH(order_time) > 10 + ) +) GROUP BY SUBSTR(order_time, 1, 4), time_area +ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC; + +SQL51: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t_t AS "店铺名称", + t3.sale_money AS "2022年618销售金额（元）（包含运费）", + t3.order_count AS "2022年618订单数量", + t2.sale_money AS "2022年双11销售金额（元）（包含运费）", + t2.order_count AS "2022年双11订单数量", + t1.all_sale_money AS "2022年总销售金额（元）（包含运费）", + t1.all_order_count AS "2022年总订单数量", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2022年618销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2022年618订单数量占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2022年双11销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2022年双11订单数量占比" +FROM (SELECT + store_code, + MAX(store_name_t) AS store_name_t_t, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money, + COUNT(DISTINCT platform_order_no) AS all_order_count + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2022-12-31' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-10-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-11-11' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN ( + SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-05-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-06-20' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_money DESC; + +SQL52: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t_t AS "店铺名称", + t3.sale_money AS "2023年618销售金额（元）（包含运费）", + t3.order_count AS "2023年618订单数量", + t2.sale_money AS "2023年双11销售金额（元）（包含运费）", + t2.order_count AS "2023年双11订单数量", + t1.all_sale_money AS "2023年总销售金额（元）（包含运费）", + t1.all_order_count AS "2023年总订单数量", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2023年618销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2023年618订单数量占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2023年双11销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2023年双11订单数量占比" +FROM (SELECT + store_code, + MAX(store_name_t) AS store_name_t_t, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money, + COUNT(DISTINCT platform_order_no) AS all_order_count + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2023-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2023-12-31' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2023-10-20' AND SUBSTR(min_order_time, 1, 10) <= '2023-11-11' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN ( + SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2023-05-31' AND SUBSTR(min_order_time, 1, 10) <= '2023-06-20' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_money DESC; + +SQL53: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t_t AS "店铺名称", + t3.sale_money AS "2024年618销售金额（元）（包含运费）", + t3.order_count AS "2024年618订单数量", + t2.sale_money AS "2024年双11销售金额（元）（包含运费）", + t2.order_count AS "2024年双11订单数量", + t1.all_sale_money AS "2024年总销售金额（元）（包含运费）", + t1.all_order_count AS "2024年总订单数量", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2024年618销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2024年618订单数量占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "2024年双11销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2024年双11订单数量占比" +FROM (SELECT + store_code, + MAX(store_name_t) AS store_name_t_t, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money, + COUNT(DISTINCT platform_order_no) AS all_order_count + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-12-31' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-12-31' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-10-17' AND SUBSTR(min_order_time, 1, 10) <= '2024-11-11' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN ( + SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-20' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-20' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_money DESC; + +SQL54: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t_t AS "店铺名称", + t2.sale_money AS "2025年618销售金额（元）（包含运费）", + t2.order_count AS "2025年618订单数量", + t1.all_sale_money AS "20250630总销售金额（元）（包含运费）", + t1.all_order_count AS "20250630总订单数量", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_money, 5) / toDecimal64(t1.all_sale_money, 5), 4) END AS "到20250630·618销售金额占比", + CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "到20250630·618订单数量占比" +FROM (SELECT + store_code, + MAX(store_name_t) AS store_name_t_t, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money, + COUNT(DISTINCT platform_order_no) AS all_order_count + FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2025-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t1 LEFT JOIN ( + SELECT + store_code, + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS sale_money, + COUNT(DISTINCT platform_order_no) AS order_count + FROM (SELECT + store_code, + platform_order_no, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(real_goods_amt) AS real_goods_amt_t + FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2025-05-16' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-20' + GROUP BY store_code, system_order_no, platform_order_no + ) GROUP BY store_code +) t2 ON t1.store_code = t2.store_code +ORDER BY t1.all_sale_money DESC; + +SQL55: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t AS "店铺名称", + t3.sale_amt AS "2022年618销售金额（元）", + t2.sale_amt AS "2022年双11销售金额（元）", + t1.all_sale_amt AS "2022年总销售金额（元）", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2022年618销售金额占比", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2022年双11销售金额占比" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + SUM(goods_amt) AS all_sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2022-12-31' + GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-10-31' AND SUBSTR(order_time, 1, 10) <= '2022-11-11' + GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-05-31' AND SUBSTR(order_time, 1, 10) <= '2022-06-20' + GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_amt DESC; + +SQL56: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t AS "店铺名称", + t3.sale_amt AS "2023年618销售金额（元）", + t2.sale_amt AS "2023年双11销售金额（元）", + t1.all_sale_amt AS "2023年总销售金额（元）", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2023年618销售金额占比", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2023年双11销售金额占比" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + SUM(goods_amt) AS all_sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-01-01' AND SUBSTR(order_time, 1, 10) <= '2023-12-31' + GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-10-20' AND SUBSTR(order_time, 1, 10) <= '2023-11-11' + GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-05-31' AND SUBSTR(order_time, 1, 10) <= '2023-06-20' + GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_amt DESC; + +SQL57: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t AS "店铺名称", + t3.sale_amt AS "2024年618销售金额（元）", + t2.sale_amt AS "2024年双11销售金额（元）", + t1.all_sale_amt AS "2024年总销售金额（元）", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t3.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2024年618销售金额占比", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "2024年双11销售金额占比" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + SUM(goods_amt) AS all_sale_amt + FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-12-31' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2024-12-31' AND brand_code = 'SBZ' + ) + GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-10-17' AND SUBSTR(order_time, 1, 10) <= '2024-11-11' + GROUP BY store_code +) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-20' AND SUBSTR(order_time, 1, 10) <= '2024-06-20' + GROUP BY store_code +) t3 ON t1.store_code = t3.store_code +ORDER BY t1.all_sale_amt DESC; + +SQL58: +SELECT + t1.store_code AS "店铺编码", + t1.store_name_t AS "店铺名称", + t2.sale_amt AS "2025年618销售金额（元）", + t1.all_sale_amt AS "20250630总销售金额（元）", + CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(toDecimal64(t2.sale_amt, 5) / toDecimal64(t1.all_sale_amt, 5), 4) END AS "到20250630·618销售金额占比" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + SUM(goods_amt) AS all_sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2025-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' + GROUP BY store_code +) t1 LEFT JOIN (SELECT + store_code, + SUM(goods_amt) AS sale_amt + FROM custom_online_sale_bill_local + WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2025-05-16' AND SUBSTR(order_time, 1, 10) <= '2025-06-20' + GROUP BY store_code +) t2 ON t1.store_code = t2.store_code +ORDER BY t1.all_sale_amt DESC; + +SQL59: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + time_diff AS "发货间隔", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MIN(deliver_time) AS deliver_time_t, + CASE WHEN deliver_time_t <> '' AND order_time_t <> '' THEN + CASE + WHEN dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) <= 240 THEN '0-4小时' + WHEN dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) > 240 + AND dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) <= 1440 THEN '4-24小时' + WHEN dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) > 1440 + AND dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) <= 2880 THEN '24-48小时' + WHEN dateDiff('minute', toDateTime(deliver_time_t), toDateTime(order_time_t)) > 2880 THEN '大于48小时' + END + ELSE '其他' + END AS time_diff + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +WHERE time_diff <> '其他' +GROUP BY SUBSTR(order_time_t, 1, 4), time_diff +ORDER BY SUBSTR(order_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL60: +SELECT + SUBSTR(order_time_t, 1, 4) AS "年份", + carrierName AS "承运商", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_order_time) AS order_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(carrier) AS carrier_t, + CASE + WHEN carrier_t IN ('shunfeng') OR carrier_t LIKE 'sf%' OR carrier_t LIKE 'SF%' OR carrier_t LIKE '顺丰%' THEN '顺丰' + WHEN carrier_t IN ('postb', 'eyb') OR carrier_t LIKE 'ems%' OR carrier_t LIKE 'EMS%' THEN '邮政' + WHEN carrier_t LIKE 'yunda%' OR carrier_t LIKE 'YUNDA%' THEN '韵达' + WHEN carrier_t IN ('ZT') OR carrier_t LIKE 'zto%' OR carrier_t LIKE 'ZTO%' OR carrier_t LIKE '中通%' THEN '中通' + WHEN carrier_t LIKE 'jd%' OR carrier_t LIKE 'JD%' OR carrier_t LIKE '京东%' THEN '京东' + WHEN carrier_t IN ('ST#DW', 'ST') OR carrier_t LIKE 'sto%' OR carrier_t LIKE 'STO%' OR carrier_t LIKE '申通%' THEN '申通' + WHEN carrier_t LIKE 'jt%' OR carrier_t LIKE 'JT%' THEN '极兔' + WHEN carrier_t IN ('YT') OR carrier_t LIKE 'yto%' OR carrier_t LIKE 'YTO%' OR carrier_t LIKE '圆通%' THEN '圆通' + WHEN carrier_t IN ('rider') THEN '骑士' + WHEN carrier_t IN ('dbl') THEN '德邦' + WHEN carrier_t IN ('htky') THEN '汇通' + WHEN carrier_t IN ('QSKD') THEN '千顺' + WHEN carrier_t IN ('fengwang') THEN '丰网' + WHEN carrier_t IN ('best') THEN '百世' + WHEN carrier_t IN ('ttkdex') THEN '天天' + ELSE carrier_t + END AS carrierName + FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND carrier <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND carrier <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(order_time_t, 1, 4), carrierName +ORDER BY SUBSTR(order_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL61: +SELECT + SUBSTR(min_order_time, 1, 4) AS "年份", + SUBSTR(min_order_time, 6, 2) AS "月份", + COUNT(DISTINCT main_logistic_bill) AS "物流单数量" +FROM (SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND main_logistic_bill <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND main_logistic_bill <> '' +) +GROUP BY SUBSTR(min_order_time, 1, 4), SUBSTR(min_order_time, 6, 2) +ORDER BY SUBSTR(min_order_time, 1, 4), SUBSTR(min_order_time, 6, 2); + +SQL62: +SELECT + SUBSTR(mgclear_time_t, 1, 4) AS "年份", + carrierName AS "承运商", + SUM(real_goods_amt_t) AS "销售金额（元）", + SUM(order_freight_amt_t) AS "运费金额（元）", + SUM(real_goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）", + COUNT(DISTINCT platform_order_no) AS "订单数量" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(order_freight_amt) AS order_freight_amt_t, + SUM(goods_qty) AS goods_qty_t, + SUM(real_goods_amt) AS real_goods_amt_t, + MAX(carrier) AS carrier_t, + CASE + WHEN carrier_t IN ('shunfeng') OR carrier_t LIKE 'sf%' OR carrier_t LIKE 'SF%' OR carrier_t LIKE '顺丰%' THEN '顺丰' + WHEN carrier_t IN ('postb', 'eyb') OR carrier_t LIKE 'ems%' OR carrier_t LIKE 'EMS%' THEN '邮政' + WHEN carrier_t LIKE 'yunda%' OR carrier_t LIKE 'YUNDA%' THEN '韵达' + WHEN carrier_t IN ('ZT') OR carrier_t LIKE 'zto%' OR carrier_t LIKE 'ZTO%' OR carrier_t LIKE '中通%' THEN '中通' + WHEN carrier_t LIKE 'jd%' OR carrier_t LIKE 'JD%' OR carrier_t LIKE '京东%' THEN '京东' + WHEN carrier_t IN ('ST#DW', 'ST') OR carrier_t LIKE 'sto%' OR carrier_t LIKE 'STO%' OR carrier_t LIKE '申通%' THEN '申通' + WHEN carrier_t LIKE 'jt%' OR carrier_t LIKE 'JT%' THEN '极兔' + WHEN carrier_t IN ('YT') OR carrier_t LIKE 'yto%' OR carrier_t LIKE 'YTO%' OR carrier_t LIKE '圆通%' THEN '圆通' + WHEN carrier_t IN ('rider') THEN '骑士' + WHEN carrier_t IN ('dbl') THEN '德邦' + WHEN carrier_t IN ('htky') THEN '汇通' + WHEN carrier_t IN ('QSKD') THEN '千顺' + WHEN carrier_t IN ('fengwang') THEN '丰网' + WHEN carrier_t IN ('best') THEN '百世' + WHEN carrier_t IN ('ttkdex') THEN '天天' + ELSE carrier_t + END AS carrierName + FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND carrier <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND carrier <> '' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(mgclear_time_t, 1, 4), carrierName +ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(real_goods_amt_t) + SUM(order_freight_amt_t) DESC; + +SQL63: +SELECT + SUBSTR(mgclear_time, 1, 4) AS "年份", + SUBSTR(mgclear_time, 6, 2) AS "月份", + COUNT(DISTINCT main_logistic_bill) AS "物流单数量" +FROM (SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' AND main_logistic_bill <> '' + UNION ALL + SELECT * FROM custom_online_sale_order_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' AND main_logistic_bill <> '' +) +GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2) +ORDER BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2); + +SQL64: +SELECT + SUBSTR(min_create_time_t, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_return_goods_amt_t) AS "退款金额（元）", + SUM(return_freight_amt_t) AS "退款运费金额（元）", + SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_create_time) AS min_create_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE SUBSTR(min_create_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_create_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE SUBSTR(min_create_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_create_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(min_create_time_t, 1, 4), store_code +ORDER BY SUBSTR(min_create_time_t, 1, 4), SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t); + +SQL65: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "退款金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(order_time, 1, 4), store_code +ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt); + +SQL66: +SELECT + SUBSTR(mgclear_time_t, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name_t) AS "店铺名称", + SUM(real_return_goods_amt_t) AS "退款金额（元）", + SUM(return_freight_amt_t) AS "退款运费金额（元）", + SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code +ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t); + +SQL67: +SELECT + SUBSTR(mgclear_time, 1, 4) AS "年份", + store_code AS "店铺编码", + MAX(store_name) AS "店铺名称", + SUM(goods_amt) AS "退款金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(mgclear_time, 1, 4), store_code +ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt); + +SQL68: +SELECT + SUBSTR(min_create_time_t, 1, 4) AS "年份", + SUBSTR(min_create_time_t, 6, 2) AS "月份", + SUM(real_return_goods_amt_t) AS "退款金额（元）", + SUM(return_freight_amt_t) AS "退款运费金额（元）", + SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(min_create_time) AS min_create_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE SUBSTR(min_create_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_create_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE SUBSTR(min_create_time, 1, 10) >= '2024-05-01' AND SUBSTR(min_create_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(min_create_time_t, 1, 4), SUBSTR(min_create_time_t, 6, 2) +ORDER BY SUBSTR(min_create_time_t, 1, 4), SUBSTR(min_create_time_t, 6, 2); + +SQL69: +SELECT + SUBSTR(order_time, 1, 4) AS "年份", + SUBSTR(order_time, 6, 2) AS "月份", + SUM(goods_amt) AS "退款金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 2) +ORDER BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 2); + +SQL70: +SELECT + SUBSTR(mgclear_time_t, 1, 4) AS "年份", + SUBSTR(mgclear_time_t, 6, 2) AS "月份", + SUM(real_return_goods_amt_t) AS "退款金额（元）", + SUM(return_freight_amt_t) AS "退款运费金额（元）", + SUM(real_return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）" +FROM (SELECT + store_code, + MAX(store_name) AS store_name_t, + system_order_no, + platform_order_no, + MIN(mgclear_time) AS mgclear_time_t, + MAX(return_freight_amt) AS return_freight_amt_t, + SUM(return_goods_qty) AS return_goods_qty_t, + SUM(real_return_goods_amt) AS real_return_goods_amt_t + FROM (SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_return_local + WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' + ) + GROUP BY store_code, system_order_no, platform_order_no +) +GROUP BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2) +ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2); + +SQL71: +SELECT + SUBSTR(mgclear_time, 1, 4) AS "年份", + SUBSTR(mgclear_time, 6, 2) AS "月份", + SUM(goods_amt) AS "退款金额（元）" +FROM (SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code <> 'SBZ' + UNION ALL + SELECT * FROM custom_online_sale_bill_local + WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2024-05-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND brand_code = 'SBZ' +) +GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2) +ORDER BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2); + +SQL72: +SELECT + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2023' THEN member_id END) AS "2022年底会员数量", + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2024' THEN member_id END) AS "2023年底会员数量", + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2025' THEN member_id END) AS "2024年底会员数量", + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 10) <= '2025-06-30' THEN member_id END) AS "20250630会员数量" +FROM ( + SELECT brand, member_id, MIN(member_register_time) AS member_register_time_t + FROM dwd_basic_all_vip_info_dd + WHERE member_register_time <= '2025-06-30' + GROUP BY brand, member_id +); + +SQL73: +SELECT + a.perYear "年份", + a.member_count_t AS "活跃会员数量", + ROUND(a.member_count_t / + CASE + WHEN a.perYear = '2022' THEN b.count_2022 + WHEN a.perYear = '2023' THEN b.count_2023 + WHEN a.perYear = '2024' THEN b.count_2024 + WHEN a.perYear = '2025' THEN b.count_20250630 + END + , 4) AS "活跃会员占比" +FROM (SELECT perYear, SUM(member_count) AS member_count_t + FROM (SELECT SUBSTR(change_time, 1, 4) AS perYear, brand, COUNT(DISTINCT member_id) AS member_count + FROM dwd_basic_all_vip_point_dd + WHERE change_kind NOT IN ('9', '19', '70', '80', '60') -- 去除人工增减，和积分清零 + AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' + GROUP BY SUBSTR(change_time, 1, 4), brand + ) GROUP BY perYear +) a, ( + SELECT + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2023' THEN member_id END) AS count_2022, + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2024' THEN member_id END) AS count_2023, + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 4) < '2025' THEN member_id END) AS count_2024, + COUNT(CASE WHEN SUBSTR(member_register_time_t, 1, 10) <= '2025-06-30' THEN member_id END) AS count_20250630 + FROM ( + SELECT brand, member_id, MIN(member_register_time) AS member_register_time_t + FROM dwd_basic_all_vip_info_dd + WHERE member_register_time <= '2025-06-30' + GROUP BY brand, member_id + ) +) b +ORDER BY a.perYear; + +SQL74: +SELECT perYear AS "年份", SUM(member_count) AS "新增会员数量" +FROM (SELECT SUBSTR(member_register_time, 1, 4) AS perYear, brand, COUNT(DISTINCT member_id) AS member_count + FROM dwd_basic_all_vip_info_dd + WHERE member_register_time >= '2022-01-01' AND member_register_time <= '2025-06-30' + GROUP BY SUBSTR(member_register_time, 1, 4), brand +) GROUP BY perYear +ORDER BY perYear; + +SQL75: +SELECT perYear AS "年份", SUM(member_count) AS "注销会员数量" +FROM (SELECT SUBSTR(member_logout_time, 1, 4) AS perYear, brand, COUNT(DISTINCT member_id) AS member_count + FROM dwd_basic_all_vip_write_off_log_dd + WHERE parseDateTimeBestEffort(member_logout_time) >= '2022-01-01 00:00:00' AND parseDateTimeBestEffort(member_logout_time) <= '2025-06-30 23:59:59' + GROUP BY SUBSTR(member_logout_time, 1, 4), brand +) GROUP BY perYear +ORDER BY perYear; + +SQL76: +SELECT SUBSTR(change_time, 1, 4) AS "年份", SUM(toDecimal32(point_change, 2)) AS "新增积分数量" +FROM dwd_basic_all_vip_point_dd +WHERE toDecimal32(point_change, 2) > 0 AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind <> '60' +GROUP BY SUBSTR(change_time, 1, 4) +ORDER BY SUBSTR(change_time, 1, 4); + +SQL77: +SELECT SUBSTR(change_time, 1, 4) AS "年份", SUM(toDecimal32(point_change, 2)) AS "消耗积分数量" +FROM dwd_basic_all_vip_point_dd +WHERE toDecimal32(point_change, 2) < 0 AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind <> '60' +GROUP BY SUBSTR(change_time, 1, 4) +ORDER BY SUBSTR(change_time, 1, 4); + +SQL78: +SELECT SUBSTR(change_time, 1, 4) AS "年份", SUM(toDecimal32(point_change_t, 2)) AS "清零积分数量" +FROM (SELECT change_time, CASE WHEN toDecimal32(point_change, 2) > 0 THEN -toDecimal32(point_change, 2) ELSE toDecimal32(point_change, 2) END AS point_change_t + FROM dwd_basic_all_vip_point_dd + WHERE change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind = '60' +) +GROUP BY SUBSTR(change_time, 1, 4) +ORDER BY SUBSTR(change_time, 1, 4); \ No newline at end of file