Ori Marko
Ori Marko

Reputation: 58822

Find increase in history records in specific range

I want to find records in date range 1/1/19-1/7/19 which increase amount

using table HISTORY:

DATE AMOUNT ID

(Date, number, varchar2(30))

I find IDs inside range correctly

assuming increase/decrease can happens only when having two records with same Id

 with suspect as
 (select id
    from history
   where t.createddate < to_date('2019-07-01', 'yyyy-mm-dd')
   group by id
  having count(1) > 1),
ids as
 (select id
    from history
    join suspect
      on history.id = suspect.id
   where history.date > to_date('2019-01-01', 'yyyy-mm-dd')
     and history.date < to_date('2019-07-01', 'yyyy-mm-dd'))
select count(distinct id)
  from history a, history b
 where a.id = b.id
   and a.date < b.date
   and a.amount < b.amount

The problem to find increase I need to find previous record which can be before time range

I can find last previous time before time range, but I failed to use it:

ids_prevtime as (
  select history.*, max(t.date) over (partition by t.id) max_date
  from history   
  join ids on history.userid = ids.id
   where history.date < to_date('2019-01-01','yyyy-mm-dd' )  
  ), ids_prev as (
  select * from ids_prevtime where createdate=max_date
  )

Upvotes: 0

Views: 44

Answers (2)

Ponder Stibbons
Ponder Stibbons

Reputation: 14858

I see that you found solution, but maybe you could do it simpler, using lag():

select count(distinct id)
  from (select id, date_, amount, 
               lag(amount) over (partition by id order by date_) prev_amt
          from history)
  where date_ between date '2019-01-01' and date '2019-07-01' 
    and amount > prev_amt;

dbfiddle

Upvotes: 2

Ori Marko
Ori Marko

Reputation: 58822

Add union of last history records before range with records inside range

ids_prev as
 (select ID, DATE, AMOUNT
    from id_before_rangetime
   where createddate = max_date),
ids_in_range as
 (select history.*
    from history
    join ids
      on history.ID = ids.ID
   where history.date > to_date('2019-01-01', 'yyyy-mm-dd')
     and history.date < to_date('2019-07-01', 'yyyy-mm-dd')),
all_relevant as
 (select * from ids_in_range union all select * from ids_prev)

and then count increases:

select count(distinct id)
  from all_relevant a, all_relevant b
 where a.id = b.id
   and a.date < b.date
   and a.amount < b.amount

Upvotes: 0

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