Suppose I have a table that looks like the following
id | location | dateHired | dateRehired | dateTerminated
1 | 1 | 10/1/2011 | NULL | 12/1/2011
2 | 1 | 10/3/2011 | 11/1/2011 | 12/31/2011
3 | 5 | 10/5/2011 | NULL | NULL
4 | 5 | 10/5/2011 | NULL | NULL
5 | 7 | 11/5/2011 | NULL | 12/1/2011
6 | 10 | 11/2/2011 | NULL | NULL
and I wanted to condense that into a summary table such that:
location | date | hires | rehires | terms
1 | 10/1/2011 | 1 | 0 | 0
1 | 10/3/2011 | 1 | 0 | 0
1 | 11/1/2011 | 0 | 1 | 0
1 | 12/1/2011 | 0 | 0 | 1
1 | 12/31/2011 | 1 | 0 | 0
5 | 10/5/2011 | 2 | 0 | 0
etc.
— what would that SQL look like? I was thinking it would be something to the effect of:
SELECT
e.location
, -- ?
,SUM(CASE WHEN e.dateHired IS NOT NULL THEN 1 ELSE 0 END) AS Hires
,SUM(CASE WHEN e.dateRehired IS NOT NULL THEN 1 ELSE 0 END) As Rehires
,SUM(CASE WHEN e.dateTerminated IS NOT NULL THEN 1 ELSE 0 END) As Terms
FROM
Employment e
GROUP BY
e.Location
,--?
But I’m not real keen if that’s entirely correct or not?
EDIT – This is for SQL 2008 R2.
Also,
INNER JOIN on the date columns assumes that there are values for all three categories, which is false; which is the original problem I was trying to solve. I was thinking something like COALESCE, but that doesn’t really make sense either.
I am sure there is probably an easier, more elegant way to solve this. However, this is the simplest, quickest that I can think of this late that works.