I am trying to use SQL to select distinct data entries based on the time difference between one entry and the next. It’s easier to explain with an example:
My data table has
Part DateTime
123 12:00:00
123 12:00:05
123 12:00:06
456 12:10:23
789 12:12:13
123 12:14:32
I would like to return all rows as long with the limitation that if there are multiple entries with the same “Part” number I would like to retrieve only those that have a difference of at least 5 minutes.
The query should return:
Part DateTime
123 12:00:00
456 12:10:23
789 12:12:13
123 12:14:32
The code I’m using is the following:
SELECT data1.*, to_char(data1.scan_time, 'yyyymmdd hh24:mi:ss')
FROM data data1
where exists
(
select *
from data data2
where data1.part_serial_number = data2.part_serial_number AND
data2.scan_time + 5/1440 >= data1.scan_time
and data2.info is null
)
order by to_char(data1.scan_time, 'yyyymmdd hh24:mi:ss'), data1.part_serial_number
This is not working unfortunately. Does anyone know what i’m doing wrong or can suggest an alternate approach??
Thanks
Analytic functions to the rescue.
You can use the analytic function
LEADto get the data for the next row for the part.Once you’ve done that, then you can create an inline view and simply select those rows where the next date is more than 5 minutes after the current date.