如何根据另一列的值过滤一列？

Question

对于长篇文章，我深表歉意。 这是几个案例陈述，使它变得很长。

我有两个问题。 第一个是-我如何从表中获取所有值，又如何在自联接中针对自身过滤呢？ 具体来说，我计算的是推销员每天的通话次数，而我的输出则持续减少凌晨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中减去3时。 不知道该怎么做！

这是我的例子

这就是我的查询的样子...

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，第一个联接是过滤掉任务，因此我只需要完成呼叫。 第二个连接是摆脱不良/虚假帐户，第三个连接是确保仅从“活跃销售人员”列表中提取名称。

这是我的源数据看起来像的一个例子-

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

我的输出看起来像这样-

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

Answer 1

SELECT DATE_FORMAT(task1.time, "%l%p") hour,
       COUNT(task2.Activity_ID__Case_Safe_) AS calls

 YOUR REST OF THE QUERY 

GROUP BY 1
ORDER BY hour

1）您可以将case语句替换为

DATE_FORMAT(task1.time, "%l%p") ---This gives hour in AM/PM

而且也要按别名排序，而不是按

2）在您的查询中，外部查询中有一个条件， (subquery.account_id__CaseSafe_ IS NULL)

但是在示例数据中，对于上午12点的时间，案例安全性不为null。 因此，它已被过滤掉。

3）如果您想更改时区的时间，请使用

if name = "Johnny Smith", 
     DATE_FORMAT(date_add(task1.time,  INTERVAL 3 HOUR) + 3, "%l%p") , 
     DATE_FORMAT(task1.time + 3, "%l%p"))