提交线下数据质量评估

底稿/附件/2 执行SQL/CAATS-01-03 数据质量评估.txt

@@ -139,3 +139,50 @@ SQL6:
 SELECT SUBSTR(sale_date, 1, 4),brand_code, SUM(goods_amt) FROM custom_offline_sale_return_local cosrl   
 WHERE SUBSTR(sale_date, 1, 10) >= '2024-05-01' AND SUBSTR(sale_date, 1, 10) <= '2025-06-30' AND brand_code IN ('SBZ', 'JXH')
 GROUP BY SUBSTR(sale_date, 1, 4), brand_code;
+
+SQL7:
+SELECT 
+	a."年份",
+	a."门店性质",
+	a."净销售金额",
+	b.settle_year AS "结算年份",
+	b.store_nature AS "门店性质（海澜提供）",
+	b.retail_amt AS "零售金额",
+	b.settle_amt AS "结算金额",
+	b.retail_amt - a."净销售金额" AS "差异" 
+FROM 
+(
+SELECT
+	toYear(a.sale_time) AS "年份",
+	CASE 
+		WHEN b.store_nature <> '' THEN b.store_nature
+		WHEN b.store_nature = '' THEN c.store_nature
+	END AS "门店性质",
+	SUM(a.goods_amt) AS "净销售金额"
+FROM custom_offline_sale_return_local a  
+LEFT JOIN(
+	SELECT
+		store_code,
+		store_nature,
+		`year` AS period
+	FROM
+		custom_store_nature_all_local csnal 
+	WHERE
+		source_table = 'store'
+)b
+ON a.store_code = b.store_code AND toString(toYear(a.sale_time)) = b.period
+LEFT JOIN(
+	SELECT
+		store_code,
+		MIN(store_nature) AS store_nature
+	FROM
+		custom_store_nature_all_local csnal 
+	GROUP BY store_code 
+)c
+ON a.store_code = c.store_code
+WHERE a.brand_code <>'SBZ'
+AND a.brand_code <> 'JXH'
+GROUP BY "年份","门店性质" 
+) a 
+LEFT JOIN dwd_storesettlement_hkaudit_settle_amt_mt b on toString(a."年份")=b.settle_year AND a."门店性质"=b.store_nature 
+ORDER BY a."年份",a."门店性质"