Question

I have a table with some columns, one holds a timestamp that I use to run
currently four single selects to compute a SELECT count() and return information
like “n-rows older than 1 week”, “n-rows older than 2 weeks”, …

How to transform the four queries into one SQL-Statement that is hopefully
running faster?

The statements look like this:

SELECT count(foo_pk) AS oneweek FROM foo WHERE foo_timstamp < DATE_SUB(now(), INTERVAL 1 week)

Answer 1

I’m not a MySql guy, but in SQL Server I would use the CASE statement like so:

SELECT
    SUM(CASE WHEN foo_timstamp < DATE_SUB(now(), INTERVAL 1 week) THEN 1 ELSE 0 END) as oneweek,
    SUM(CASE WHEN foo_timstamp < DATE_SUB(now(), INTERVAL 2 week) THEN 1 ELSE 0 END) as twoweek,
    SUM(CASE WHEN foo_timstamp < DATE_SUB(now(), INTERVAL 3 week) THEN 1 ELSE 0 END) as threeweek,
    SUM(CASE WHEN foo_timstamp < DATE_SUB(now(), INTERVAL 4 week) THEN 1 ELSE 0 END) as fourweek
FROM foo
WHERE 
    foo_timstamp < DATE_SUB(now(), INTERVAL 1 week)

It seems that this statement is available in MySql as well, so while my syntax might be a bit off I think something like the SQL above should work.