我有两个表，一个表显示我从产品购买的单位和从产品中接收的单位，在第二个表中，每个商店的产品价格，每个商店的产品价格都不同。我需要提供购买的总价值和收到的总价值以及购买的商品和收到的商品之间的差额。
因此每个商店都有自己的价格，使摘要将所有值加起来，结果是非常大的。
当前查询：
Select NROOC,sum(cant_oc), sum(CANT_REC),
sum(cant_oc)-sum(CANT_REC) as DIF,
(sum(cant_oc*costo_PPF))-(sum(CANT_REC*costo_PPF)) as DIF_costo
from oc_contenedores_odbms
left join costo_PPF on oc_contenedores_odbms.SKU=costo_PPF.sku
where NROOC in ('9053963');
名称表1：costo_PPF
+-------------+----------+------------+----------------------+--+
| # | sku | costo_PPF | fecha_actualizacion | |
| id_tienda | | | | |
+-------------+----------+------------+----------------------+--+
| 2 | 2618796 | 6710,38 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 2 | 2669161 | 6076,25 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 2 | 266917X | 6292,23 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 2 | 2669188 | 6289,89 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 2 | 266920X | 5693,62 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 2 | 2742322 | 6399,75 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 2669161 | 6066,39 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 266917X | 5981,14 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 2669188 | 6496,81 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 266920X | 5723,14 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 2742322 | 6364,17 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
| 3 | 2618796 | 6710,38 | 2019-06-05 | |
+-------------+----------+------------+----------------------+--+
名称表2：oc_contenedores_odbms
+----------+---------+----------+-----------+--------+------+
| SKU | NROOC | CANT_OC | CANT_REC | LOCAL | DIF |
+----------+---------+----------+-----------+--------+------+
| 2618796 | 9053963 | 744 | 744 | 508 | 0 |
+----------+---------+----------+-----------+--------+------+
| 2669161 | 9053963 | 2232 | 0 | 508 | 2232 |
+----------+---------+----------+-----------+--------+------+
| 266917X | 9053963 | 3720 | 744 | 508 | 2976 |
+----------+---------+----------+-----------+--------+------+
| 2669188 | 9053963 | 2232 | 1488 | 508 | 744 |
+----------+---------+----------+-----------+--------+------+
| 266920X | 9053963 | 1728 | 0 | 508 | 1728 |
+----------+---------+----------+-----------+--------+------+
| 2742322 | 9053963 | 968 | 0 | 508 | 968 |
+----------+---------+----------+-----------+--------+------+
实际结果：
+---------+---------------+----------------+-------+-------------+
| NROOC | Suma(CANT_OC) | Suma(CANT_REC) | DIF | DIF_costo |
+---------+---------------+----------------+-------+-------------+
| 9053963 | 23248 | 5952 | 17296 |105.224.862,2|
+---------+---------------+----------------+-------+-------------+
预期结果：
+---------+---------------+----------------+------+---------------+
| NROOC | Suma(CANT_OC) | Suma(CANT_REC) | DIF | DIF_costo |
+---------+---------------+----------------+------+---------------+
| 9053963 | 11624 | 2976 | 8648 | 52.126.284,72 |
+---------+---------------+----------------+------+---------------+