Reputation: 263803
Before anything else, here is the simplified schema
(with dummy records) of the database:
ItemList
ItemID ItemName DateAcquired Cost MonthlyDep CurrentValue
================================================================================
1 Stuff Toy 2011-12-25 100.00 10.00 100.00
2 Mouse 2011-12-23 250.00 50.00 200.00
3 Keyboard 2011-12-17 250.00 30.00 190.00
4 Umbrella 2011-12-28 150.00 20.00 110.00
5 Aircon 2011-12-29 950.00 25.00 925.00
DepreciationTransaction
ItemID DateOfDep MonthlyDep
======================================
2 2012-01-31 250.00
3 2012-01-31 30.00
4 2012-01-31 20.00
5 2012-01-31 25.00
3 2012-02-29 30.00
4 2012-02-29 20.00
I need your suggestions to help me solve this problem. Basically I am creating a depreciation monitoring system of a certain LGU. The problem of the current database is that it lacks some records for a specific date of depreciation, for instance:
Lacking Records (this is not a table from the database)
ItemID LackingDate
============================
1 2012-01-31
1 2012-02-29
2 2012-02-29
5 2012-02-29
And because of the lacking records, I cannot generate the depreciation report for the month of MARCH
. Any idea how can I insert missing records on the DepreciationTransaction
?
What have I done so far? None. But a simple query that calculates the newly depreciated value (which produces incorrect value because of the missing records)
Upvotes: 0
Views: 367
Reputation: 43464
The problem here is that you will have to generate data. MySQL is not intended to generate data, you should do that at an application level and just tell MySQL to store it. In this case, the application should check wether there are missing records and create them if needed.
Leaving that aside, you can (awfully) create dynamic data with MySQL like this:
select il.itemId, endOfMonths.aDate from ((
select aDate from (
select @maxDate - interval (a.a+(10*b.a)+(100*c.a)+(1000*d.a)) day aDate from
(select 0 as a union all select 1 union all select 2 union all select 3
union all select 4 union all select 5 union all select 6 union all
select 7 union all select 8 union all select 9) a, /*10 day range*/
(select 0 as a union all select 1 union all select 2 union all select 3
union all select 4 union all select 5 union all select 6 union all
select 7 union all select 8 union all select 9) b, /*100 day range*/
(select 0 as a union all select 1 union all select 2 union all select 3
union all select 4 union all select 5 union all select 6 union all
select 7 union all select 8 union all select 9) c, /*1000 day range*/
(select 0 as a union all select 1 union all select 2 union all select 3
union all select 4 union all select 5 union all select 6 union all
select 7 union all select 8 union all select 9) d, /*10000 day range*/
(select @minDate := (select min(dateAcquired) from il),
@maxDate := '2012-03-01') e
) f
where aDate between @minDate and @maxDate and aDate = last_day(aDate)
) endOfMonths, il)
left join dt
on il.itemId = dt.itemId and endOfMonths.aDate = dt.dateOfDep
where dt.itemId is null and last_day(il.dateAcquired) < endOfMonths.aDate
Depending on the length of the date range you can reduce the amount of dynamically generated results (10000 days means over 27 years of records each representing one day) by removing tables (d, c, b and a) and removing them from the upper formula. Setting the @minDate and @maxDate variables will allow you to specify the dates between you want to filter the results. This dates should be the min date from which you have an item and the max date should be march, in your case.
In plain english: If select min(dateAcquired) from il
returns a date before '2012-03-01' - 10000 days
then you'll have to add another union.
Finally, just add the insert statement (if you really need to insert those records).
Upvotes: 1
Reputation: 839
You may build a temporary table, which contains the date needed. And use the table to LEFT OUTER JOIN the "DepreciationTransaction" table.
SELECT dt.date_value, dt.itemid, ISNULL(SUM(dt.MonthlyDep), 0)
FROM tmp_date
LEFT OUTER JOIN
DepreciationTransaction AS dt
ON tmp_date.date_value = dt.DateOfDep
GROUP BY dt.date_value, dt.itemid
Of course, if your want that all of the items to be on report, you should make a cartesian product with tmp_date and items_id.
Upvotes: 1