Generate the missing lines in analytics
HelloI have a table with minute PR. measures 0-x.
If a minute do NOT have a measure, then he should take the next minute measurement data.
The results are averages in an interval of 15 minutes - or using the last 15 averages.
It's my data
drop table jlt_maaling;
create table jlt_maaling (id number, dato date, vaerdi number, whoknows number);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:00:54','dd.mm.yyyy hh24:mi:ss'),1461,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:01:14','dd.mm.yyyy hh24:mi:ss'),1462,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:01:54','dd.mm.yyyy hh24:mi:ss'),1464,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:02:31','dd.mm.yyyy hh24:mi:ss'),1457,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:03:54','dd.mm.yyyy hh24:mi:ss'),1459,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:04:54','dd.mm.yyyy hh24:mi:ss'),1464,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:05:54','dd.mm.yyyy hh24:mi:ss'),1463,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:05:55','dd.mm.yyyy hh24:mi:ss'),1467,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:05:56','dd.mm.yyyy hh24:mi:ss'),1464,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:05:58','dd.mm.yyyy hh24:mi:ss'),1460,1);
--- how do I "generate" data for the next 3 minutes inflight?
--10.06
--10.07
--10.08
---- arggh
insert into jlt_maaling values (13111,to_date('15.09.2011 10:09:54','dd.mm.yyyy hh24:mi:ss'),1482,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:10:54','dd.mm.yyyy hh24:mi:ss'),1479,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:11:54','dd.mm.yyyy hh24:mi:ss'),1466,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:12:24','dd.mm.yyyy hh24:mi:ss'),1474,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:12:54','dd.mm.yyyy hh24:mi:ss'),0,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:13:05','dd.mm.yyyy hh24:mi:ss'),1474,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:13:17','dd.mm.yyyy hh24:mi:ss'),1476,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:13:25','dd.mm.yyyy hh24:mi:ss'),1480,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:13:54','dd.mm.yyyy hh24:mi:ss'),1471,1);
insert into jlt_maaling values (13111,to_date('15.09.2011 10:13:59','dd.mm.yyyy hh24:mi:ss'),1471,1);
--10.14
commit;
with maalinger as
(
select trunc(dato,'mi') dato, sum(vaerdi) , count(vaerdi), sum(vaerdi)/count(vaerdi) vaerdi
from jlt_maaling
group by trunc(dato,'mi')
order by 1
),
tider as
(
--select trunc(sysdate+(level/24/60),'mi')-(1/24/60) datoo from dual connect by level <= 15
select trunc(to_date('15.09.2011 10:00:54','dd.mm.yyyy hh24:mi:ss')+(level/24/60)-(1/24/60),'mi') datoo from dual connect by level <= 15
)
---
select datoo, vaerdi,
trunc(avg(vaerdi) over (order by dato)) runningtotal_avg, --- snit fra start og til hvor vi er nu
trunc(avg(vaerdi) over (order by dato rows 14 preceding)) running15_avg, --- snit for de seneste 15 rækker
trunc(avg(vaerdi) over (order by dato range between interval '899' second preceding and current row)) running15min_avg ---- summen for de seneste 15 minutters rækker
from maalinger m right outer join tider t on t.datoo = m.dato
order by datoo;If anyone can help?
UPS has forgotten - database is 10.2.0.4
Best regards
Mette
Edited by: Mettemusens2 2011-10-07 03:26
Edited by: Mettemusens2 2011-10-07 03:38
And here's a way that gives what you ask (or almost):
with minutter as (
select min_dato + numtodsinterval(level-1,'minute') dato
from (
select trunc(max(dato),'mi') max_dato, trunc(min(dato),'mi') min_dato
from jlt_maaling
)
connect by level <= ceil((max_dato - min_dato) * 24 * 60) + 1
)
select
nvl(jlt_maaling.dato,minutter.dato) dato,
last_value(jlt_maaling.vaerdi ignore nulls) over (order by minutter.dato) vaerdi
from minutter
left outer join jlt_maaling
on trunc(jlt_maaling.dato,'mi') = minutter.dato
order by
minutter.dato,
jlt_maaling.dato
;
Then you can make this request group.
It will work when you do it on an individual 'id '. For a solution that partitions by 'id', you can do a partitioned outer join.
Tags: Database
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