Then, the last_value function will take last value per row and the distinct removes all irrelevant rows from the output.
This will draw the distinct pairs of id's and dates out and rejoin them onto the dataset only where the joined dates are earlier than the row in question. ,last_value(dat2.d) over (partition by dat.id, dat.dt order by dat2.d asc rows between unbounded preceding and unbounded following) as prev_diff_valueįrom dat) dat2 on dat.id = dat2.id and trunc(dat.dt) > dat2.d Here's a different way of looking at the problem that's not very efficient, but sort of fun anyway. Then lag(trunc(dt),4) over(partition by id order by dt asc)Įlse lag(trunc(dt),3) over(partition by id order by dt asc)Įlse lag(trunc(dt),2) over(partition by id order by dt asc)Įlse lag(trunc(dt)) over(partition by id order by dt asc)īasically, you look at the previous record and if it doesn't suit you then you look back to the record before that one and so on until you find the correct record or run out of your statement depth. When lag(trunc(dt),3) over(partition by id order by dt asc)=trunc(dt) When lag(trunc(dt),2) over(partition by id order by dt asc)=trunc(dt)
When lag(trunc(dt)) over(partition by id order by dt asc)=trunc(dt) If nature of your data is that you have a limited number of timestamps for the same day you might just extend your lag with a conditional statement like this: with dat as ( Select *, lag(date) over(partition by id order by date asc) prev_diff_value I would then apply lag against the unique combination of id and date and join back to the original dataset like this: with dat as ( Select id, dt, lag(trunc(dt)) over(partition by id order by dt asc) prev_diff_valueĪs I understand you want to get the previous different date for each timestamp within id partition. Select 2,'20150101 02:02:50'::timestamp union all Float loading occur in transition when your lower body starts going down while your upper body is still coiling back.The weight of the clubhead will cause the wrists to downcock or increase your wrist set.Float loading is a wonderful way of. I want the o/p of prev_diff_value of the 3rd,4th row to be 00:00:00 instead of 00:00:00. I have a sample data as below and wanting to get a desired o/p, please help me with some idea.
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