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# Aggregates for date periods

## A member asks our SQL expert: "How can I generate daily, weekly, monthly, quarterly, and yearly reports based on this sample data..."

How can I generate daily, weekly, monthly, quarterly, and yearly reports based on this sample data:

```TestDate    Item  Result
--------    ----  ------
APR-1-2007  ABC   FAILED
APR-2-2007  DEF   PASSED
APR-3-2007  GHI   FAILED
...```

The query should calculate the total number of FAILED and PASSED for a certain period (e.g. daily, weekly...), such as:

```Period (Monthly)            Failure Rate (%)
------                      -------
AUG-10-2007 to SEP-10-2007  2.05
SEP-10-2007 to OCT-10-2007  1.80
OCT-10-2007 to NOV-10-2007  5.56
...```

One easy way to generate the date ranges for the desired periods is with date arithmetic using a starting date and an integers table.

Let's say we need to see 12 monthly periods, starting with AUG-10-2007. Assuming our integers table has the ten numbers 0 through 9, the query to generate the ranges would be:

```select '2007-08-10' +
interval 10*tens.i + units.i month  as startdate
, '2007-08-10' +
interval 10*tens.i + units.i + 1 month  as enddate
from integers tens
cross
join integers units
where 10*tens.i + units.i between 0 and 11
order
by startdate```

Now we simply use a LEFT OUTER JOIN to the data:

```select startdate || ' to ' || enddate
as period
, case when count(TestDate) = 0
then null
else
100.0
* count(case when Result='FAILED' then 1 end)
/ count(TestDate)  end
as FailureRate
from (
select '2007-08-10' +
interval 10*tens.i + units.i month
as startdate
, '2007-08-10' +
interval 10*tens.i + units.i + 1 month
as enddate
from integers tens
cross
join integers units
where 10*tens.i + units.i between 0 and 11
) as periods
left outer
join yourtable
on yourtable.TestDate >= periods.startdate
and yourtable.TestDate  < periods.enddate
group
by period```

Notice how we've pushed the cross join down into a subquery in order to be able use the calculated column aliases `startdate` and `enddate` in the outer query's join.

This was last published in October 2007

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