I have a query that works correctly to pull a series of targets and total hours worked for company A. I would like to run the exact same query for company B and join them on a common date, which happens to be grouped by week. My current query:
SELECT * FROM (
SELECT org, date,
( SELECT SUM( target ) FROM target WHERE org = "companyA" ) AS companyA_target,
SUM( hours ) AS companyA_actual
FROM time_management_system
WHERE org = "companyA"
GROUP BY WEEK( date )
ORDER BY DATE
) q1
LEFT JOIN (
SELECT org, date,
( SELECT SUM( target ) FROM target WHERE org = "companyB" ) AS companyB_target,
SUM( hours ) AS companyB_actual
FROM time_management_system
WHERE org = "companyB"
GROUP BY WEEK( date )
ORDER BY DATE
) q2
ON q1.date = q2.date
The results show all of the dates / information of companyA, however companyB only shows sporadic data. Separately, the two queries will show the exact same set of dates, just with different information in the 'target' and 'actual' columns.
companyA 2012-01-28 105.00 39.00 NULL NULL NULL NULL
companyA 2012-02-05 105.00 15.00 NULL NULL NULL NULL
companyA 2012-02-13 105.00 60.50 companyB 2012-02-13 97.50 117.50
Any idea why I'm not getting all the information for companyB?
As a side note, would anybody be able to point in the direction of converting each row's week value into a column? With companyA and companyB as the only two rows?
I appreciate all the help! Thanks.
WITH no date apparent in the target table, the summation will be constant across all weeks. So, I have performed a pre-query for only those "org" values of company A and B with a group by. This will ensure only 1 record per "org" so you don't get a Cartesian result.
Then, I am querying the time_management_system ONCE for BOTH companies. Within the field computations, I am applying an IF() to test the company value and apply when correct. The WEEK activity is the same for both in the final result, so I don't have to do separately and join. This also prevents the need of having the date column appear twice. I also don't need to explicitly add the org column names as the final column names reflect that.
SELECT
WEEK( tms.date ) as GrpWeek,
IF( tms.org = "companyA", TargetSum.CompTarget, 00000.00 )) as CompanyATarget,
SUM( IF( tms.org = "companyA", tms.hours, 0000.00 )) as CompanyAHours,
IF( tms.org = "companyB", TargetSum.CompTarget, 00000.00 )) as CompanyBTarget,
SUM( IF( tms.org = "companyB", tms.hours, 000.00 )) as CompanyBHours
from
Time_Management_System tms
JOIN ( select
t.org,
SUM( t.target ) as CompTarget
from
Target T
where
t.org in ( "companyA", "companyB" )
group by
t.org ) as TargetSums
ON tms.org = TargetSums.org
where
tms.org in ( "companyA", "companyB" )
group by
WEEK( tms.date )
order by
WEEK( tms.date )
Both of your subqueries are wrong.
Either you want this:
SELECT
org,
WEEK(date),
( SELECT SUM( target ) FROM target WHERE org = "companyB" ) AS companyB_target,
SUM( hours ) AS companyB_actual
FROM time_management_system
WHERE org = "companyB"
GROUP BY WEEK( date )
Or else you want this:
SELECT
org,
date,
( SELECT SUM( target ) FROM target WHERE org = "companyB" ) AS companyB_target,
SUM( hours ) AS companyB_actual
FROM time_management_system
WHERE org = "companyB"
GROUP BY date
The way you are doing it now is not correctly formed SQL. In pretty much any other database your query would fail immediately with an error. MySQL is more lax and runs the query but gives indeterminate results.
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