MySQL如何根据条件填充查询列？

我有一个为CSV导出准备一些客户数据的查询：

SELECT cu.*, 
ct1.CON_FirstName AS billing_FirstName , ct1.CON_MiddleI AS billing_MiddleI , ct1.CON_LastName AS billing_LastName , ct1.CON_Address1 AS billing_CON_Address1 , ct1.CON_Address2 AS billing_CON_Address2 , ct1.CON_City AS billing_CON_City , ct1.CON_State AS billing_CON_State , ct1.CON_Province AS billing_Province , ct1.CON_Country AS billing_Country , ct1.CON_Zip AS billing_Zip , ct1.CON_Phone1 AS billing_Phone1 , ct1.CON_Phone2 AS billing_Phone2 , ct1.CON_Text AS billing_Text , ct1.CON_FriendlyName AS billing_FriendlyName , ct1.CON_Email AS billing_Email,
ct2.CON_FirstName AS shipping_FirstName , ct2.CON_MiddleI AS shipping_MiddleI , ct2.CON_LastName AS shipping_LastName , ct2.CON_Address1 AS shipping_CON_Address1 , ct2.CON_Address2 AS shipping_CON_Address2 , ct2.CON_City AS shipping_CON_City , ct2.CON_State AS shipping_CON_State , ct2.CON_Province AS shipping_Province , ct2.CON_Country AS shipping_Country , ct2.CON_Zip AS shipping_Zip , ct2.CON_Phone1 AS shipping_Phone1 , ct2.CON_Phone2 AS shipping_Phone2 , ct2.CON_Text AS shipping_Text , ct2.CON_FriendlyName AS shipping_FriendlyName , ct2.CON_Email AS shipping_Email

FROM CUSTOMERS cu 

LEFT JOIN  CONTACT ct1 ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type = 1

LEFT JOIN  CONTACT ct2 ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type = 2

GROUP BY cu.CU_CustomerID

ORDER BY cu.CU_CustCatId DESC

我的问题是，第三个CON_Type值为3，这意味着联系信息是账单和发货。i、 e.一些用户在联系人表中有两个条目，而另一些用户[其发货和账单相同]只有一个条目

---

对于只有CON_Type=3的记录，如何填充shipping和billing列

还没有测试过，但我认为：

LEFT JOIN  CONTACT ct1 ON ct1.CON_CustomerID = cu.CU_CustomerID AND (ct1.CON_Type = 1 OR ct1.CON_Type = 3)

LEFT JOIN  CONTACT ct2 ON ct2.CON_CustomerID = cu.CU_CustomerID AND (ct2.CON_Type = 2 OR ct2.CON_Type = 3)

---

我还没有测试过，但我认为：

LEFT JOIN  CONTACT ct1 ON ct1.CON_CustomerID = cu.CU_CustomerID AND (ct1.CON_Type = 1 OR ct1.CON_Type = 3)

LEFT JOIN  CONTACT ct2 ON ct2.CON_CustomerID = cu.CU_CustomerID AND (ct2.CON_Type = 2 OR ct2.CON_Type = 3)

---

我还没有测试过，但我认为：

LEFT JOIN  CONTACT ct1 ON ct1.CON_CustomerID = cu.CU_CustomerID AND (ct1.CON_Type = 1 OR ct1.CON_Type = 3)

LEFT JOIN  CONTACT ct2 ON ct2.CON_CustomerID = cu.CU_CustomerID AND (ct2.CON_Type = 2 OR ct2.CON_Type = 3)

---

我还没有测试过，但我认为：

LEFT JOIN  CONTACT ct1 ON ct1.CON_CustomerID = cu.CU_CustomerID AND (ct1.CON_Type = 1 OR ct1.CON_Type = 3)

LEFT JOIN  CONTACT ct2 ON ct2.CON_CustomerID = cu.CU_CustomerID AND (ct2.CON_Type = 2 OR ct2.CON_Type = 3)

如果我理解正确，我会在on条款中使用：

from子句看起来像：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type IN (1, 3) LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type IN (2, 3)

如果要排除类型1和2以及其他类型，则可以将其过滤掉：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type = 3 LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type = 3
WHERE NOT EXISTS (SELECT 1
                  FROM CUSTOMERS cu2
                  WHERE cu2.CU_CustomerID = cu.CU_CustomerID and
                        cu2.CON_Type <> 3
                 )

如果我理解正确，我会在on条款中使用：

from子句看起来像：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type IN (1, 3) LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type IN (2, 3)

如果要排除类型1和2以及其他类型，则可以将其过滤掉：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type = 3 LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type = 3
WHERE NOT EXISTS (SELECT 1
                  FROM CUSTOMERS cu2
                  WHERE cu2.CU_CustomerID = cu.CU_CustomerID and
                        cu2.CON_Type <> 3
                 )

如果我理解正确，我会在on条款中使用：

from子句看起来像：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type IN (1, 3) LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type IN (2, 3)

如果要排除类型1和2以及其他类型，则可以将其过滤掉：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type = 3 LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type = 3
WHERE NOT EXISTS (SELECT 1
                  FROM CUSTOMERS cu2
                  WHERE cu2.CU_CustomerID = cu.CU_CustomerID and
                        cu2.CON_Type <> 3
                 )

如果我理解正确，我会在on条款中使用：

from子句看起来像：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type IN (1, 3) LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type IN (2, 3)

如果要排除类型1和2以及其他类型，则可以将其过滤掉：

FROM CUSTOMERS cu LEFT JOIN 
     CONTACT ct1
     ON ct1.CON_CustomerID = cu.CU_CustomerID AND ct1.CON_Type = 3 LEFT JOIN 
     CONTACT ct2
     ON ct2.CON_CustomerID = cu.CU_CustomerID AND ct2.CON_Type = 3
WHERE NOT EXISTS (SELECT 1
                  FROM CUSTOMERS cu2
                  WHERE cu2.CU_CustomerID = cu.CU_CustomerID and
                        cu2.CON_Type <> 3
                 )

---

什么意思只有con_类型=3？什么意思只有con_类型=3？什么意思只有con_类型=3？什么意思只有con_类型=3？有时候最简单的答案就是坐在你的正前方，嗯？@SeanKimball，这是常有的事。戈登的IN建议也很有用，尤其是当你在同一列中有两个以上的值时。有时候最简单的答案就是坐在你面前，嗯？@SeanKimball，这种情况经常发生。戈登的IN建议也很有用，尤其是当你在同一列中有两个以上的值时。有时候最简单的答案就是坐在你面前，嗯？@SeanKimball，这种情况经常发生。戈登的IN建议也很有用，尤其是当你在同一列中有两个以上的值时。有时候最简单的答案就是坐在你面前，嗯？@SeanKimball，这种情况经常发生。Gordon的IN建议也非常有用，尤其是当同一列的值超过2个时。