heilan/底稿/附件/2 执行SQL/CAATS-01-04 分析指标汇总-线上.txt

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);