表结构:
的 tblCustomer
Customer_id created field1 field2 cardno field14
------------------------------------------------------------------------------------------------
1014 2010-05-25 12:51:59.547 Cell Phone abc@lmn.com 1234567890 Test Card
1015 2010-08-15 12:51:59.547 Email abc@xyz.com 2345678891 NULL
tbl_TransactionDishout
Trnx_id offerNo TerminalID Created VirtualCard
-------------------------------------------------------------------
1 1014 170924690436418 2010-05-25 12:51:59.547 1234567890
tbl_transaction和tblCustomer之间的关系具有相同的cardno 是否有可能将结果作为以下日期记录得出:
Enrolled Enrolled as Email Enrolled as Text Deals Redeemed
<First Date> 7 5 2 6
<Next Date> 9 3 6 14
日期应该来自两个表,即使它没有记录......
Enrolled - Total No of records that is summation of Enrolled as Email and Enrolled as Text.
Enrolled as Email - Where field1 = 'Email' from tblCustomer table
Enrolled as Text - Where field1 = 'cell phone' from tblCustomer table
Deals Redeemed - Where field14 <> 'Test Card' from tblCustomer table and
where DishoutResponsecode = '0000' from tbl_Transaction table
我现有的查询:
SELECT
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111) created,
COUNT(CASE WHEN (t1.field1 = 'E-mail' or t1.field1 = 'Cell Phone') and (t1.field14 <> 'Test Card' or t1.field14 is null) THEN 1 END) Enrolled,
COUNT(CASE WHEN t1.field1 = 'E-mail' and (t1.field14 <> 'Test Card' and t1.field14 is null) THEN 1 END) Enrolled_as_Email,
COUNT(CASE WHEN t1.field1 = 'Cell Phone' and (t1.field14 <> 'Test Card' and t1.field14 is null) THEN 1 END) Enrolled_as_Cell,
COUNT(CASE WHEN t2.DishoutResponseCode = '0000' and (IsNull(t1.field14, '') <> 'Test Card') THEN 1 END) Deals_Redeemed
FROM tblCustomer AS t1
FULL OUTER JOIN
tbl_TransactionDishout t2
ON t1.cardno = t2.VirtualCard and t1.created = t2.created
GROUP BY
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111)
ORDER BY
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111) DESC
tblCustomer表格中的最后4-5条记录
created cardno field14
----------------------------------------------------------
2012-03-07 10:03:00.034 1234007600101240
2012-03-05 04:02:00.040 1234007600602122
2012-03-01 06:25:50.400 1234010400972168 Test Card
2012-03-01 30:05:30.022 555566669999 Test Card
2012-03-01 50:50:20.450 666677778888 Test Card
tbl_TransactionDisout表格中的最后4-5条记录
created VirtualCard DishoutResponseCode
-----------------------------------------------------------------------
2012-03-09 13:18:02.703 1234010400972168 0010
2012-03-09 13:17:35.307 1234010400972168 0002
2012-03-09 13:17:14.237 1234010400972168 0007
2012-03-09 13:16:57.650 1234010400972168 0002
2012-03-08 21:13:57.137 1234010400475686 0000
2012-03-08 16:50:38.273 1234010400972168 0002
2012-03-08 16:50:26.070 1234010400972168 0007
2012-03-08 16:49:49.793 1234010400972168 0002
因此,只有一张卡片有响应代码'0000'而且也不是'测试卡'..但是我得到的所有卡的代码='0000'并且还有'测试卡'以便表示field14无法比较,因为它来自不同的表和不同的日期..
答案 0 :(得分:0)
当我使用您在主要问题中指定的数据时,这是我使用此查询返回的结果:
SELECT
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111) created,
COUNT(CASE WHEN (t1.field1 = 'Email' or t1.field1 = 'Cell Phone') and (t1.field14 <> 'Test Card' or t1.field14 is null) THEN 1 END) Enrolled,
COUNT(CASE WHEN t1.field1 = 'Email' and (IsNull(t1.field14, '') <> 'Test Card') THEN 1 END) Enrolled_as_Email,
COUNT(CASE WHEN t1.field1 = 'Cell Phone' and (IsNull(t1.field14, '') <> 'Test Card') THEN 1 END) Enrolled_as_Cell,
COUNT(CASE WHEN t2.DishoutResponseCode = '0000' and (IsNull(t1.field14, '') <> 'Test Card') THEN 1 END) Deals_Redeemed
FROM
tblCustomer AS t1
FULL OUTER JOIN
tbl_TransactionDishout t2
ON t1.cardno = t2.VirtualCard
AND t1.created = t2.created
GROUP BY
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111)
ORDER BY
convert(varchar, CAST(ISNULL(t1.created,t2.created) AS DATETIME), 111) DESC
结果:
created Enrolled Enrolled_as_Email Enrolled_as_Cell Deals_Redeemed
------------------------------ ----------- ----------------- ---------------- --------------
2012/03/09 0 0 0 0
2012/03/08 0 0 0 1
2012/03/07 1 0 1 0
2012/03/05 1 0 1 0
2012/03/01 0 0 0 0