Question

我有一个查询，我试图根据用户的ID来拉动我们公司的销售额。它将他们的姓/名，他们的状态，代表在他们的下线和最近的销售中输入。然后它应该为所有销售提取美元金额并将它们加在一起（注意：此列后来被添加为销售部门的临时修复）。然后，对于每次销售，它应该将美元价值转换为基于产品的点值。它还应该找到销售的总提交值和总关闭点值。我每个销售人员只需要一排。

以下是查询的当前迭代：

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

当前输出示例：

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语句没有正确计算。当我完成所有单个销售并进行计算时，我会在All_Time_Closed_Points和All_Time_Submitted_Points列中获得不同的数字。

我搜索了几个论坛并发现了一些关于它与群组问题的建议，但是当我尝试调整群组时，通常只返回1行并添加了所有信息。此外，我已经尝试运行几个没有聚合功能的变化无济于事。我确实试图将这些订单项带回来，但我无法完全接受所有的销售。它只会带来1.也许是因为加入或分组？我不知道下一步该往哪里去。这是一个非常现实的可能性，我没有搜索正确的关键字或我已经看过这些信息，但不知道它是如何被操纵的。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（目前是正确的），他们提交的总点数和他们的总关闭点数（目前都没有正确计算）或者我需要返回每一笔销售额所有的代表以及aos_product。name。当我删除组以提取单个销售代表的所有销售时，它会聚合为一个代表而不是230代表所有统计数据一起添加。因此，在这方面，小组是错误的，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：以下是每个代表的多个销售额，但不是全部。它还在每个销售的Num_Reps_in_Downline列中添加了不同的数字或代表，这对我来说很有意思，因为我认为它只会在所有行中添加相同的总数。

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

Answer 1

您的查询的简化版本没有任何GROUP BY。查看它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"

Answer 2

以原始查询为起点，我的意见建议你需要转换为类似这样的格式：

SUM (opportunities_cstm.final_sale_amount_c 
     * CASE 
        WHEN aos_products.NAME = 'LifeSure' THEN 1
        WHEN aos_products.NAME LIKE '%SCF%' THEN .125
        WHEN aos_products.NAME LIKE '%(PAC)%' THEN .833
        WHEN aos_products.NAME LIKE '%Income Select%'
            AND aos_products.NAME NOT LIKE '%(PAC)%' 
        THEN .166
        WHEN aos_products.NAME = 'Estate Enhancer' THEN .333
        WHEN aos_products.NAME LIKE '%Oil%' THEN .33
        WHEN aos_products.NAME LIKE '%Merchant Cash Advance%' THEN .16
        WHEN aos_products.NAME LIKE '%WB%' THEN .025
        WHEN aos_products.NAME LIKE '%Land Lease%' THEN .625
        WHEN aos_products.NAME LIKE '%Petro%' THEN .625
        ELSE 1 -- ???
       END
    ) AS All_Time_Closed_Points,

注意：我对ELSE不太确定。就像以前那样，你将SUM表达式与平面字段引用混合在一起。

理想情况下（大多数RDBMS和MySQL最近的默认配置都需要），聚合查询的SELECT表达式应该只包含分组和聚合值。

如果您的SELECT包含CASE或任何逻辑，则逻辑应该基于分组的字段/值，或者该逻辑的结果应该分组，或者是专门的聚合结果（即SELECT CASE X WHEN 0 THEN MIN(y) ELSE MAX(y) END ... GROUP ON X）。

如果逻辑对聚合结果进行操作，则它应该仅返回聚合结果（即SELECT CASE WHEN SUM(X) < 0 THEN MIN(Y) ELSE MAX(Y) END ...）。

如果逻辑在聚合函数内，则可以用它来调整聚合的值（如上例所示）。不言而喻，您不能在这样的嵌套逻辑表达式中包含聚合值，只能将一个聚合嵌套在另一个聚合中。

聚合函数计数不正确MYSQL

2 个答案: