Question

我正在尝试使用case语句创建2个标志。

Flag1 = event_per_month
Flag2 = event_per_day

以下是样本数据

我希望根据每天和每月的ID出现创建两个标志。

EVENT_PER_DAY逻辑：如果给定的id和msg在同一天重复多次，则event_per_day标志变为＆＃34; T＆＃34;对于重复事件（id和msg的组合），否则它仍然是＆＃34; T＆＃34;。

EVENT_PER_MONTH逻辑：如果给定的id和msg在同一个月内重复多次，则event_per_month标志变为＆＃34; T＆＃34;对于重复事件（id和msg的组合），否则它仍然是＆＃34; T＆＃34;。

我使用了case语句，但这里的问题是我有日期和月份列，这使它变得有点复杂。

这是预期的结果

id  error_date  error_month error category  event_per_day   event_per_month
123 15-May-15 12:01:01  May-15  msg1    F   F
123 15-May-15 12:20:00  May-15  msg1    T   T
123 17-May-15 22:00:00  May-15  msg2    F   F
124 17-May-15 20:00:00  May-15  msg2    T   T
123 18-May-15 12:00:00  May-15  msg3    F   F
123 19-May-15 19:00:00  May-15  msg3    F   F
123 20-May-15 12:00:00  May-15  msg4    F   F
123 20-May-15 17:00:00  May-15  msg4    T   T
123 22-May-15 12:00:00  May-15  msg4    F   F
123 23-May-15 12:00:00  May-15  msg4    F   F
123 12-Aug-15 18:00:00  Aug-15  msg1    F   F
123 13-Aug-15 12:00:00  Aug-15  msg2    F   F
123 14-Aug-15 12:00:00  Aug-15  msg3    F   F
123 15-Aug-15 12:00:00  Aug-15  msg4    F   F
123 16-Aug-15 12:00:00  Aug-15  msg1    F   T
123 17-Aug-15 12:00:00  Aug-15  msg1    F   T
123 18-Aug-15 12:00:00  Aug-15  msg2    F   T
123 19-Aug-15 12:00:00  Aug-15  msg3    F   T
123 20-Aug-15 12:00:00  Aug-15  msg4    F   T
123 21-Aug-15 12:00:00  Aug-15  msg3    F   T
890 15-May-15 12:01:01  May-15  msg1    F   F
890 15-May-15 12:20:00  May-15  msg1    T   T
890 17-May-15 22:00:00  May-15  msg2    F   F
890 17-May-15 20:00:00  May-15  msg2    T   T
890 18-May-15 12:00:00  May-15  msg3    F   F
890 19-May-15 19:00:00  May-15  msg3    F   F
890 20-May-15 12:00:00  May-15  msg4    F   F
890 20-May-15 17:00:00  May-15  msg4    T   T
890 22-May-15 12:00:00  May-15  msg4    F   F
890 23-May-15 12:00:00  May-15  msg4    F   F
890 12-Aug-15 18:00:00  Aug-15  msg1    F   F
890 13-Aug-15 12:00:00  Aug-15  msg2    F   F
890 14-Aug-15 12:00:00  Aug-15  msg3    F   F
890 15-Aug-15 12:00:00  Aug-15  msg4    F   F
890 16-Aug-15 12:00:00  Aug-15  msg1    F   T
890 17-Aug-15 12:00:00  Aug-15  msg1    F   T
890 18-Aug-15 12:00:00  Aug-15  msg2    F   T
890 19-Aug-15 12:00:00  Aug-15  msg3    F   T
890 20-Aug-15 12:00:00  Aug-15  msg4    F   T
890 21-Aug-15 12:00:00  Aug-15  msg3    F   T

Answer 1

我认为您需要分析功能：

select t.*,
       (case when row_number() over (partition by trunc(error_date), msg
                                     order by error_date
                                    ) = 1
             then 'F' else 'T'
        end) as event_per_day,
       (case when row_number() over (partition by error_month, msg
                                     order by error_date
                                    ) = 1
             then 'F' else 'T'
        end) as event_per_month
from table t;

编辑：

上面的查询应该没问题，但是使用子查询可能会有所帮助：

select t.*,
       (case when seqnum_day = 1 then 'F' else 'T' end) as event_per_day,
       (case when seqnum_mon = 1 then 'F' else 'T' end) as event_per_month
from (select t.*,
             row_number() over (partition by trunc(error_date), msg
                                order by error_date) as seqnum_day,
             row_number() over (partition by error_month, msg
                                order by error_date) as seqnum_mon
      from table t
     ) t;

Oracle多案例陈述

1 个答案: