I have an events
table with two columns eventkey
(unique, primary-key) and createtime
, which stores the creation time of the event as the number of milliseconds since Jan 1 1970 in a NUMBER
column.
I would like to create a "histogram" or frequency distribution that shows me how many events were created in each hour of the past week.
Is this the best way to write such a query in Oracle, using the width_bucket()
function? Is it possible to derive the number of rows that fall into each bucket using one of the other Oracle analytic functions rather than using width_bucket
to determine what bucket number each row belongs to and doing a count(*)
over that?
-- 1305504000000 = 5/16/2011 12:00am GMT
-- 1306108800000 = 5/23/2011 12:00am GMT
select
timestamp '1970-01-01 00:00:00' + numtodsinterval((1305504000000/1000 + (bucket * 60 * 60)), 'second') period_start,
numevents
from (
select bucket, count(*) as events from (
select eventkey, createtime,
width_bucket(createtime, 1305504000000, 1306108800000, 24 * 7) bucket
from events
where createtime between 1305504000000 and 1306108800000
) group by bucket
)
order by period_start
If your createtime
were a date column, this would be trivial:
SELECT TO_CHAR(CREATE_TIME, 'DAY:HH24'), COUNT(*)
FROM EVENTS
GROUP BY TO_CHAR(CREATE_TIME, 'DAY:HH24');
As it is, casting the createtime
column isn't too hard:
select TO_CHAR(
TO_DATE('19700101', 'YYYYMMDD') + createtime / 86400000),
'DAY:HH24') AS BUCKET, COUNT(*)
FROM EVENTS
WHERE createtime between 1305504000000 and 1306108800000
group by TO_CHAR(
TO_DATE('19700101', 'YYYYMMDD') + createtime / 86400000),
'DAY:HH24')
order by 1
If, alternatively, you're looking for the fencepost values (for example, where do I go from the first decile (0-10%) to the next (11-20%), you'd do something like:
select min(createtime) over (partition by decile) as decile_start,
max(createtime) over (partition by decile) as decile_end,
decile
from (select createtime,
ntile (10) over (order by createtime asc) as decile
from events
where createtime between 1305504000000 and 1306108800000
)