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我有一个查询,我试图用它来根据用户的 ID 获取我们公司的销售额。它会提取他们的名字/姓氏、状态、下线代表以及最近输入的销售记录。然后应该提取所有销售的美元金额并将它们加在一起(注意:此列是后来添加的,作为销售部门的临时修复)。然后,对于每次销售,它应该将美元值(value)转换为基于产品的积分值(value)。它还应该找到销售的总提交点值和总关闭点值。我只需要每个销售人员 1 行。
这是查询的当前迭代:
SELECT preps_contracted_reps.first_name AS Rep_First_Name,
preps_contracted_reps.last_name AS Rep_Last_Name,
preps_contracted_reps_cstm.contact_status_reps_c AS Rep_Status,
COUNT(wn_writing_number_cstm.id_c) AS Num_Reps_in_Downline,
MAX(opportunities.date_entered) AS Date_Entered,
aos_products.`name` AS Product_Name,
SUM(opportunities_cstm.final_sale_amount_c) AS Total_in_Dollars,
CASE
WHEN aos_products.NAME = 'LifeSure'
THEN SUM(opportunities_cstm.final_sale_amount_c)
WHEN aos_products.NAME LIKE '%SCF%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .125)
WHEN aos_products.NAME LIKE '%(PAC)%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .833)
WHEN aos_products.NAME LIKE '%Income Select%'
AND aos_products.NAME NOT LIKE '%(PAC)%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .166)
WHEN aos_products.NAME = 'Estate Enhancer'
THEN SUM(opportunities_cstm.final_sale_amount_c * .333)
WHEN aos_products.NAME LIKE '%Oil%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .33)
WHEN aos_products.NAME LIKE '%Merchant Cash Advance%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .16)
WHEN aos_products.NAME LIKE '%WB%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .025)
WHEN aos_products.NAME LIKE '%Land Lease%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .625)
WHEN aos_products.NAME LIKE '%Petro%'
THEN SUM(opportunities_cstm.final_sale_amount_c * .625)
ELSE opportunities_cstm.final_sale_amount_c
END AS All_Time_Closed_Points,
CASE
WHEN aos_products.NAME = 'LifeSure'
THEN SUM(opportunities.amount)
WHEN aos_products.NAME LIKE '%SCF%'
THEN SUM(opportunities.amount * .125)
WHEN aos_products.NAME LIKE '%(PAC)%'
THEN SUM(opportunities.amount * .833)
WHEN aos_products.NAME LIKE '%Income Select%'
AND aos_products.NAME NOT LIKE '%(PAC)%'
THEN SUM(opportunities.amount * .166)
WHEN aos_products.NAME = 'Estate Enhancer'
THEN SUM(opportunities.amount * .333)
WHEN aos_products.NAME LIKE '%Oil%'
THEN SUM(opportunities.amount * .33)
WHEN aos_products.NAME LIKE '%Merchant Cash Advance%'
THEN SUM(opportunities.amount * .16)
WHEN aos_products.NAME LIKE '%WB%'
THEN SUM(opportunities.amount * .025)
WHEN aos_products.NAME LIKE '%Land Lease%'
THEN SUM(opportunities.amount * .625)
WHEN aos_products.NAME LIKE '%Petro%'
THEN SUM(opportunities.amount * .625)
ELSE opportunities.amount
END AS All_Time_Submitted_Points
FROM wn_writing_number
RIGHT JOIN wn_writing_number_cstm
ON wn_writing_number.id = wn_writing_number_cstm.id_c
INNER JOIN preps_contracted_reps_wn_writing_number_1_c
ON wn_writing_number_cstm.id_c = preps_contracted_reps_wn_writing_number_1_c.preps_contracted_reps_wn_writing_number_1wn_writing_number_idb
INNER JOIN preps_contracted_reps
ON preps_contracted_reps_wn_writing_number_1_c.preps_cont9effed_reps_ida = preps_contracted_reps.id
INNER JOIN preps_contracted_reps_cstm
ON preps_contracted_reps.id = preps_contracted_reps_cstm.id_c
LEFT JOIN opportunities_cstm
ON preps_contracted_reps.id = opportunities_cstm.preps_contracted_reps_id1_c
LEFT JOIN opportunities
ON opportunities.id = opportunities_cstm.id_c
LEFT JOIN aos_products
ON opportunities_cstm.aos_products_id_c = aos_products.id
LEFT JOIN aos_products_cstm
ON aos_products.id = aos_products_cstm.id_c
WHERE preps_contracted_reps_cstm.preps_contracted_reps_id_c = "zcrm_1130062000004859021"
AND preps_contracted_reps.deleted = "0"
AND contact_status_reps_c <> "Terminated"
AND contact_status_reps_c <> "Declined"
GROUP BY preps_contracted_reps.id
ORDER BY preps_contracted_reps_cstm.preps_contracted_reps_id_c ASC,
Last_Name ASC,
First_Name ASC,
Date_Entered ASC
电流输出示例:
Rep_First_Name | Rep_Last_Name | Rep_Status | Num_Reps_in_Downline | Date_Entered | Product_Name | Total_in_Dollars | All_Time_Closed_Points | All_Time_Submitted_Points
John | Smith | Contracted | 5 | 2017-12-05 14:6:41 | 12 Month Product | 393000.000000 | 245625.000000 | 233125 |
Jane | Doe | NeedsTraining | 0 | 2017-12-05 15:27:12| Null | Null | Null | Null |
我遇到的问题是 Case 语句计算不正确。当我查看所有单独销售并进行计算时,我在 All_Time_Closed_Points
和 All_Time_Subscribed_Points
列中得到不同的数字。
我搜索了几个论坛,发现了一些关于分组依据问题的建议,但是当我尝试调整分组依据时,它通常只返回 1 行,其中所有信息都相加。另外,我尝试在没有聚合函数的情况下运行几种变体,但无济于事。我确实尝试只带回订单项,但我无法完全让它带回所有销售额。它只会带来 1。也许是因为 join 或 group by?我不知道下一步该去哪里。我很有可能没有搜索正确的关键字,或者我已经看到了这些信息,但不知道需要如何操作它。感谢所有帮助。
编辑:我需要发生两件事之一。我要么需要每个销售代表的所有销售额来计算他们的总销售额(当前是正确的)、提交的总积分和关闭的总积分(当前计算均不正确),或者我需要返回每笔销售所有代表以及 aos_product.name
。当我删除该组以提取各个代表的所有销售额时,它会汇总为一个代表,而不是 230 个代表,并将所有统计数据加在一起。所以在这方面,分组依据是错误的,但我不确定接下来应该添加什么。希望这有助于澄清。
编辑2:
SELECT
preps_contracted_reps.first_name AS Rep_First_Name,
preps_contracted_reps.last_name AS Rep_Last_Name,
preps_contracted_reps_cstm.contact_status_reps_c AS Rep_Status,
COUNT(wn_writing_number_cstm.id_c) AS Num_Reps_in_Downline,
MAX(opportunities.date_entered) AS Date_Entered,
aos_products.`name` AS Product_Name,
SUM(opportunities_cstm.final_sale_amount_c) AS Total_in_Dollars,
opportunities_cstm.final_sale_amount_c,
CASE
WHEN aos_products.NAME = 'LifeSure'
THEN opportunities_cstm.final_sale_amount_c
WHEN aos_products.NAME LIKE '%SCF%'
THEN opportunities_cstm.final_sale_amount_c * .125
WHEN aos_products.NAME LIKE '%(PAC)%'
THEN opportunities_cstm.final_sale_amount_c * .833
WHEN aos_products.NAME LIKE '%Income Select%' AND aos_products.NAME NOT LIKE '%(PAC)%'
THEN opportunities_cstm.final_sale_amount_c * .166
WHEN aos_products.NAME = 'Estate Enhancer'
THEN opportunities_cstm.final_sale_amount_c * .333
WHEN aos_products.NAME LIKE '%Oil%'
THEN opportunities_cstm.final_sale_amount_c * .33
WHEN aos_products.NAME LIKE '%Merchant Cash Advance%'
THEN opportunities_cstm.final_sale_amount_c * .16
WHEN aos_products.NAME LIKE '%WB%'
THEN opportunities_cstm.final_sale_amount_c * .025
WHEN aos_products.NAME LIKE '%Land Lease%'
THEN opportunities_cstm.final_sale_amount_c * .625
WHEN aos_products.NAME LIKE '%Petro%'
THEN opportunities_cstm.final_sale_amount_c * .625
ELSE opportunities_cstm.final_sale_amount_c
END AS All_Time_Closed_Points,
opportunities.amount,
CASE
WHEN aos_products.NAME = 'LifeSure'
THEN opportunities.amount
WHEN aos_products.NAME LIKE '%SCF%'
THEN opportunities.amount * .125
WHEN aos_products.NAME LIKE '%(PAC)%'
THEN opportunities.amount * .833
WHEN aos_products.NAME LIKE '%Income Select%'
AND aos_products.NAME NOT LIKE '%(PAC)%'
THEN opportunities.amount * .166
WHEN aos_products.NAME = 'Estate Enhancer'
THEN opportunities.amount * .333
WHEN aos_products.NAME LIKE '%Oil%'
THEN opportunities.amount * .33
WHEN aos_products.NAME LIKE '%Merchant Cash Advance%'
THEN opportunities.amount * .16
WHEN aos_products.NAME LIKE '%WB%'
THEN opportunities.amount * .025
WHEN aos_products.NAME LIKE '%Land Lease%'
THEN opportunities.amount * .625
WHEN aos_products.NAME LIKE '%Petro%'
THEN opportunities.amount * .625
ELSE opportunities.amount
END AS All_Time_Submitted_Points
FROM wn_writing_number
JOIN wn_writing_number_cstm ON wn_writing_number.id = wn_writing_number_cstm.id_c
JOIN preps_contracted_reps_wn_writing_number_1_c ON wn_writing_number_cstm.id_c = preps_contracted_reps_wn_writing_number_1wn_writing_number_idb
JOIN preps_contracted_reps ON preps_contracted_reps_wn_writing_number_1_c.preps_cont9effed_reps_ida = preps_contracted_reps.id
JOIN preps_contracted_reps_cstm ON preps_contracted_reps.id = preps_contracted_reps_cstm.id_c
LEFT JOIN opportunities_cstm ON preps_contracted_reps.id = opportunities_cstm.preps_contracted_reps_id1_c
LEFT JOIN opportunities ON opportunities.id = opportunities_cstm.id_c
LEFT JOIN aos_products ON opportunities_cstm.aos_products_id_c = aos_products.id
LEFT JOIN aos_products_cstm ON aos_products.id = aos_products_cstm.id_c
WHERE preps_contracted_reps_cstm.preps_contracted_reps_id_c = "zcrm_1130062000004859021" AND preps_contracted_reps.deleted = "0" AND contact_status_reps_c <> "Terminated" AND contact_status_reps_c <> "Declined"
GROUP BY preps_contracted_reps.id
编辑 3:以下是每个销售代表的多项销售,但不是全部。它还在每次销售的 Num_Reps_in_Downline
列中放入不同的数字或代表,这对我来说很有趣,因为我认为它只会在所有行中放入相同的总数。
SELECT pcr.first_name AS Rep_First_Name,
pcr.last_name AS Rep_Last_Name,
pcrc.contact_status_reps_c AS Rep_Status,
COUNT(wnc.id_c) AS Num_Reps_in_Downline,
MAX(o.date_entered) AS Date_Entered,
ap.name AS Product_Name,
SUM(oc.final_sale_amount_c) AS Total_in_Dollars,
CASE
WHEN ap.NAME = 'LifeSure'
THEN oc.final_sale_amount_c
WHEN ap.NAME LIKE '%SCF%'
THEN oc.final_sale_amount_c * .125
WHEN ap.NAME LIKE '%(PAC)%'
THEN oc.final_sale_amount_c * .833
WHEN ap.NAME LIKE '%Income Select%' AND ap.NAME NOT LIKE '%(PAC)%'
THEN oc.final_sale_amount_c * .166
WHEN ap.NAME = 'Estate Enhancer'
THEN oc.final_sale_amount_c * .333
WHEN ap.NAME LIKE '%Oil%'
THEN oc.final_sale_amount_c * .33
WHEN ap.NAME LIKE '%Merchant Cash Advance%'
THEN oc.final_sale_amount_c * .16
WHEN ap.NAME LIKE '%WB%'
THEN oc.final_sale_amount_c * .025
WHEN ap.NAME LIKE '%Land Lease%'
THEN oc.final_sale_amount_c * .625
WHEN ap.NAME LIKE '%Petro%'
THEN oc.final_sale_amount_c * .625
ELSE oc.final_sale_amount_c
END AS All_Time_Closed_Points,
CASE
WHEN ap.NAME = 'LifeSure'
THEN o.amount
WHEN ap.NAME LIKE '%SCF%'
THEN o.amount * .125
WHEN ap.NAME LIKE '%(PAC)%'
THEN o.amount * .833
WHEN ap.NAME LIKE '%Income Select%'
AND ap.NAME NOT LIKE '%(PAC)%'
THEN o.amount * .166
WHEN ap.NAME = 'Estate Enhancer'
THEN o.amount * .333
WHEN ap.NAME LIKE '%Oil%'
THEN o.amount * .33
WHEN ap.NAME LIKE '%Merchant Cash Advance%'
THEN o.amount * .16
WHEN ap.NAME LIKE '%WB%'
THEN o.amount * .025
WHEN ap.NAME LIKE '%Land Lease%'
THEN o.amount * .625
WHEN ap.NAME LIKE '%Petro%'
THEN o.amount * .625
ELSE o.amount
END AS All_Time_Submitted_Points
FROM wn_writing_number wn
JOIN wn_writing_number_cstm wnc ON wn.id = wnc.id_c
JOIN preps_contracted_reps_wn_writing_number_1_c pcrwn ON wnc.id_c = pcrwn.preps_contracted_reps_wn_writing_number_1wn_writing_number_idb
JOIN preps_contracted_reps pcr ON pcrwn.preps_cont9effed_reps_ida = pcr.id
JOIN preps_contracted_reps_cstm pcrc ON pcr.id = pcrc.id_c
LEFT JOIN opportunities_cstm oc ON pcr.id = oc.preps_contracted_reps_id1_c
LEFT JOIN opportunities o ON o.id = oc.id_c
LEFT JOIN aos_products ap ON oc.aos_products_id_c = ap.id
LEFT JOIN aos_products_cstm apc ON ap.id = apc.id_c
WHERE pcrc.preps_contracted_reps_id_c = "503c4c33-d6cb-677d-0f6a-5a6f8b7aa1cc" AND pcr.deleted = "0" AND contact_status_reps_c <> "Terminated" AND contact_status_reps_c <> "Declined"
GROUP BY pcr.id, ap.name
ORDER BY pcr.last_name, pcr.first_name
最佳答案
查询的简化版本,没有任何GROUP BY
。查看是否包含所需的记录。
SELECT pcr.first_name AS Rep_First_Name,
pcr.last_name AS Rep_Last_Name,
pcrc.contact_status_reps_c AS Rep_Status,
--COUNT(wn_writing_number_cstm.id_c) AS Num_Reps_in_Downline,
wn.id_c,
--MAX(opportunities.date_entered) AS Date_Entered,
o.date_entered,
ap.name AS Product_Name,
--SUM(opportunities_cstm.final_sale_amount_c) AS Total_in_Dollars,
oc.final_sale_amount_c,
CASE
WHEN ap.NAME = 'LifeSure'
THEN oc.final_sale_amount_c
WHEN ap.NAME LIKE '%SCF%'
THEN oc.final_sale_amount_c * .125
WHEN ap.NAME LIKE '%(PAC)%'
THEN oc.final_sale_amount_c * .833
WHEN ap.NAME LIKE '%Income Select%' AND ap.NAME NOT LIKE '%(PAC)%'
THEN oc.final_sale_amount_c * .166
WHEN ap.NAME = 'Estate Enhancer'
THEN oc.final_sale_amount_c * .333
WHEN ap.NAME LIKE '%Oil%'
THEN oc.final_sale_amount_c * .33
WHEN ap.NAME LIKE '%Merchant Cash Advance%'
THEN oc.final_sale_amount_c * .16
WHEN ap.NAME LIKE '%WB%'
THEN oc.final_sale_amount_c * .025
WHEN ap.NAME LIKE '%Land Lease%'
THEN oc.final_sale_amount_c * .625
WHEN ap.NAME LIKE '%Petro%'
THEN oc.final_sale_amount_c * .625
ELSE oc.final_sale_amount_c
END AS All_Time_Closed_Points,
o.amount,
CASE
WHEN ap.NAME = 'LifeSure'
THEN o.amount
WHEN ap.NAME LIKE '%SCF%'
THEN o.amount * .125
WHEN ap.NAME LIKE '%(PAC)%'
THEN o.amount * .833
WHEN ap.NAME LIKE '%Income Select%'
AND ap.NAME NOT LIKE '%(PAC)%'
THEN o.amount * .166
WHEN ap.NAME = 'Estate Enhancer'
THEN o.amount * .333
WHEN ap.NAME LIKE '%Oil%'
THEN o.amount * .33
WHEN ap.NAME LIKE '%Merchant Cash Advance%'
THEN o.amount * .16
WHEN ap.NAME LIKE '%WB%'
THEN o.amount * .025
WHEN ap.NAME LIKE '%Land Lease%'
THEN o.amount * .625
WHEN ap.NAME LIKE '%Petro%'
THEN o.amount * .625
ELSE o.amount
END AS All_Time_Submitted_Points
FROM wn_writing_number wn
JOIN wn_writing_number_cstm wnc ON wn.id = wnc.id_c
JOIN preps_contracted_reps_wn_writing_number_1_c pcrwn ON wnc.id_c = pcrwn.preps_contracted_reps_wn_writing_number_1wn_writing_number_idb
JOIN preps_contracted_reps pcr ON pcrwn.preps_cont9effed_reps_ida = pcr.id
JOIN preps_contracted_reps_cstm pcrc ON pcr.id = pcrc.id_c
LEFT JOIN opportunities_cstm oc ON pcr.id = oc.preps_contracted_reps_id1_c
LEFT JOIN opportunities o ON o.id = oc.id_c
LEFT JOIN aos_products ap ON oc.aos_products_id_c = ap.id
LEFT JOIN aos_products_cstm apc ON ap.id = apc.id_c
WHERE pcrc.preps_contracted_reps_id_c = "zcrm_1130062000004859021" AND pcr.deleted = "0" AND contact_status_reps_c <> "Terminated" AND contact_status_reps_c <> "Declined"
关于mysql - MYSQL 聚合函数计数不正确,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48773300/
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