问题
I want to count the number of distinct catalog numbers that have appeared within the last X minutes. This is usually called a rolling time window.
For instance, if I have:
row startime orderNumber catalogNumb
1 2007-09-24-15.50 o1 21
2 2007-09-24-15.51 o2 21
3 2007-09-24-15.52 o2 21
4 2007-09-24-15.53 o3 21
5 2007-09-24-15.54 o4 22
6 2007-09-24-15.55 o4 23
7 2007-09-24-15.56 o4 21
8 2007-09-24-15.57 o4 21
For instance, if I want to get this for the last 5 minutes (5 is just one of the possible values), the output should be:
row startime orderNumber catalogNumb countCatalog
1 2007-09-24-15.50 o1 21 1
2 2007-09-24-15.51 o2 22 2
3 2007-09-24-15.52 o2 23 3
4 2007-09-24-15.53 o3 24 4
5 2007-09-24-15.54 o4 21 4
6 2007-09-24-15.55 o4 21 4
7 2007-09-24-15.56 o4 21 4
8 2007-09-24-15.57 o4 21 3
I am using Big SQL for infosphere BigInsights v3.0. Resulting query can use any db2 Olap windows functions except for count (distinct catalogNumb) OVER()... which is not supported by my db2 version.
In addition to count, I may also need to use other aggregate functions (avg, sum...) over the catalogNumb and other attributes.
Any feedback would be appreciated.
回答1:
True Db2 does not support count distinct as OLAP function but there is an easy workaround:
You can use
dense_rank
instead - the highest number (max) from dense rank is your count distinct!
回答2:
You can try something like this:
select ...
from mytable
where starttime between current_time - 5 minutes and current_time
That will get all the rows for the last 5 minutes. 5 can be a variable. then count() or sum() or average() the rows.
来源：https://stackoverflow.com/questions/48483033/distinct-count-on-a-rolling-time-window