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对于这篇长文章我很抱歉。这是一些使得它很长的案例陈述。如何根据另一列的值过滤一列？
我有两个问题。首先是 - 我如何从一个表中获取所有值，但是也要在自加入中对其自身进行过滤？具体而言，我计算了每天拨打销售人员的电话数量，并且我的输出保持截止时间为凌晨12点和凌晨1点。
第二个问题是 - 如何根据另一列的值过滤一列？
我的一些销售人员在纽约，所以我想说当created_by LIKE'Johnny Smith'然后从TIME减去3。不知道该怎么做！
这里是我的example--
这是我的查询看起来像...
SELECT CASE
WHEN (EXTRACT(HOUR
FROM task1.time)) = 1 THEN '1am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 2 THEN '2am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 3 THEN '3am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 4 THEN '4am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 5 THEN '5am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 6 THEN '6am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 7 THEN '7am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 8 THEN '8am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 9 THEN '9am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 10 THEN '10am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 11 THEN '11am'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 12 THEN '12pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 13 THEN '1pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 14 THEN '2pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 15 THEN '3pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 16 THEN '4pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 17 THEN '5pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 18 THEN '6pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 19 THEN '7pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 20 THEN '8pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 21 THEN '9pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 22 THEN '10pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 23 THEN '11pm'
WHEN (EXTRACT(HOUR
FROM task1.time)) = 0 THEN '12am'
END AS hour,
COUNT(task2.Activity_ID__Case_Safe_) AS calls
FROM sdr_data.by_task AS task1
LEFT JOIN sdr_data.by_task AS task2
ON task1.Activity_ID__Case_Safe_ = task2.Activity_ID__Case_Safe_
AND task2.task_type LIKE 'Call'
AND task2.status LIKE 'Completed'
AND task2.created_date > DATE_SUB(CURRENT_DATE(), INTERVAL 1
WEEK)
LEFT JOIN
(SELECT account_id__CaseSafe_
FROM sdr_data.by_task
WHERE account_id__CaseSafe_ IN
(SELECT account_id__CaseSafe_
FROM {{@dummy_accounts}})) AS subquery
ON task2.account_id__CaseSafe_ = subquery.account_id__CaseSafe_
RIGHT JOIN
(SELECT created_by,
Activity_ID__Case_Safe_
FROM sdr_data.by_task
WHERE created_by IN
(SELECT full_name
FROM {{@active_salespeople}})) AS subquery2
ON task1.Activity_ID__Case_Safe_ = subquery2.Activity_ID__Case_Safe_
WHERE task1.created_by IS NOT NULL
AND subquery.account_id__CaseSafe_ IS NULL
GROUP BY 1
ORDER BY CASE
WHEN HOUR LIKE '12am' THEN 1
WHEN HOUR LIKE '1am' THEN 2
WHEN HOUR LIKE '2am' THEN 3
WHEN HOUR LIKE '3am' THEN 4
WHEN HOUR LIKE '4am' THEN 5
WHEN HOUR LIKE '5am' THEN 6
WHEN HOUR LIKE '6am' THEN 7
WHEN HOUR LIKE '7am' THEN 8
WHEN HOUR LIKE '8am' THEN 9
WHEN HOUR LIKE '9am' THEN 10
WHEN HOUR LIKE '10am' THEN 11
WHEN HOUR LIKE '11am' THEN 12
WHEN HOUR LIKE '12pm' THEN 13
WHEN HOUR LIKE '1pm' THEN 14
WHEN HOUR LIKE '2pm' THEN 15
WHEN HOUR LIKE '3pm' THEN 16
WHEN HOUR LIKE '4pm' THEN 17
WHEN HOUR LIKE '5pm' THEN 18
WHEN HOUR LIKE '6pm' THEN 19
WHEN HOUR LIKE '7pm' THEN 20
WHEN HOUR LIKE '8pm' THEN 21
WHEN HOUR LIKE '9pm' THEN 22
WHEN HOUR LIKE '10pm' THEN 23
WHEN HOUR LIKE '11pm' THEN 24
END
对于上下文中，先加入是过滤掉的任务，所以我一下就完成的呼叫。第二次加入是为了摆脱坏/假帐户，第三次加入是确保它只从“活动销售人员”列表中提取姓名。
这里是什么我的源数据看起来像一个例子 -
Created By Task Type Time Status Activity ID (Case Safe)
Rudolph Ronald Call 2015-12-21 12:56:00 Completed 61AA
Joey Jalla Call 2015-12-21 12:56:00 Completed 61BB
Mike McCrystal Call 2015-12-21 12:56:00 Completed 61CC
Sally Susie Email 2015-12-21 12:56:00 Open 61DD
Sally Susie Email 2015-12-21 12:56:00 Open 61EE
Sally Susie Meeting 2015-12-21 12:56:00 Completed 61FF
我看起来就像这样 -
hour calls
2am 5
3am 14
4am 8
5am 20
6am 52
7am 55
8am 145
9am 90
10am 106
11am 93
12pm 96
1pm 53
2pm 54
3pm 43
4pm 20
5pm 8
6pm 4
7pm 17
8pm 9
9pm 12
11pm 6
但我希望它看起来像 -
hour calls
12am 2
1am 4
2am 5
3am 14
4am 8
5am 20
6am 52
7am 55
8am 145
9am 90
10am 106
11am 93
12pm 96
1pm 53
2pm 54
3pm 43
4pm 20
5pm 8
6pm 4
7pm 17
8pm 9
9pm 12
11pm 6
这是写在MySQL – Sebastian