我试图解决一个问题,但我需要帮助:)
实际上,这个查询是有效的,我在最后一列中有所有销售额的总和:
SELECT DISTINCT epps.SKU, epc.name ,
COUNT(*) FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
WHERE (eco.state = "processing" OR eco.state= "complete")
AND eco.created_at > DATE_ADD("2015-11-06",INTERVAL 12 HOUR)
AND eco.created_at < DATE_ADD("2015-12-06",INTERVAL 12 HOUR)
AND epc.attribute_set = "Contact Lenses"
AND eco.order_location = "KL"
GROUP BY epps.SKU
ORDER BY COUNT(*) DESC

我想知道每30天售出的产品数量。我还想知道上个月售出的产品数量。然而,它并不起作用。这是我的新查询:
我想比较两个不同月份的销售情况
SELECT DISTINCT epps.SKU, epc.name ,
(SELECT COUNT(*) FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
WHERE (eco.state = "processing" OR eco.state= "complete")
AND eco.created_at > DATE_ADD("2015-11-06",INTERVAL 12 HOUR)
AND eco.created_at < DATE_ADD("2015-12-06",INTERVAL 12 HOUR)
AND epc.attribute_set = "Contact Lenses"
AND eco.order_location = "KL"
),
(SELECT COUNT(*) FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
WHERE (eco.state = "processing" OR eco.state= "complete")
AND eco.created_at > DATE_ADD("2015-10-06",INTERVAL 12 HOUR)
AND eco.created_at < DATE_ADD("2015-11-06",INTERVAL 12 HOUR)
AND epc.attribute_set = "Contact Lenses"
AND eco.order_location = "KL"
)
FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
GROUP BY epps.SKU
ORDER BY COUNT(*) DESC

我使用了大致相同的框架,但我不能得到与以前相同的结果。
非常感谢!纪劳姆
发布于 2015-12-07 18:24:32
性能是您在这里的主要关注点吗?如果不是这样,使用两个子查询并连接它们可能会很好地工作。如下所示(未经过测试):
SELECT * from
(
SELECT DISTINCT epps.SKU, epc.name ,
COUNT(*) FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
WHERE (eco.state = "processing" OR eco.state= "complete")
AND eco.created_at > DATE_ADD("2015-11-06",INTERVAL 12 HOUR)
AND eco.created_at < DATE_ADD("2015-12-06",INTERVAL 12 HOUR)
AND epc.attribute_set = "Contact Lenses"
AND eco.order_location = "KL"
GROUP BY epps.SKU
ORDER BY COUNT(*) DESC
) a
inner join
(
SELECT DISTINCT epps.SKU, epc.name ,
COUNT(*) FROM ERP_CUSTOMER_ORDER eco
INNER JOIN ERP_CUSTOMER_ORDER_ITEMS_2 ecoi2 ON ecoi2.ERP_CUSTOMER_ORDER_index = eco.`index`
INNER JOIN ERP_PROD_PRODUCT_SIZES epps ON ecoi2.prod_index = epps.ID
INNER JOIN ERP_PROD_CATALOG epc ON epps.`SKUf ID`= epc.`index`
WHERE (eco.state = "processing" OR eco.state= "complete")
AND eco.created_at > DATE_ADD("2015-10-06",INTERVAL 12 HOUR)
AND eco.created_at < DATE_ADD("2015-11-06",INTERVAL 12 HOUR)
AND epc.attribute_set = "Contact Lenses"
AND eco.order_location = "KL"
GROUP BY epps.SKU
ORDER BY COUNT(*) DESC
) b
on a.SKU = b.SKU and a.name = b.name请注意,如果您的数据中没有零值,则此查询将不起作用(例如,对于没有销售任何镜片的月份,如果您没有行,则由于内部连接,此查询将不会返回任何月份的结果)。
https://stackoverflow.com/questions/34130437
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