I know that this question has been asked several times but I still cannot figure out why my query is returning values which are not duplicates. I want my query to return only the records which have identical value in the column Credit. The query executes without any errors but values which are not duplicated are also being returned. This is my query:
Select
_bvGLTransactionsFull.AccountDesc,
_bvGLAccountsFinancial.Description,
_bvGLTransactionsFull.TxDate,
_bvGLTransactionsFull.Description,
_bvGLTransactionsFull.Credit,
_bvGLTransactionsFull.Reference,
_bvGLTransactionsFull.UserName
From
_bvGLAccountsFinancial Inner Join
_bvGLTransactionsFull On _bvGLAccountsFinancial.AccountLink =
_bvGLTransactionsFull.AccountLink
Where
_bvGLTransactionsFull.Credit
IN
(SELECT Credit AS NumOccurrences
FROM _bvGLTransactionsFull
GROUP BY Credit
HAVING (COUNT(Credit) > 1 ) )
Group By
_bvGLTransactionsFull.AccountDesc, _bvGLAccountsFinancial.Description,
_bvGLTransactionsFull.TxDate, _bvGLTransactionsFull.Description,
_bvGLTransactionsFull.Credit, _bvGLTransactionsFull.Reference,
_bvGLTransactionsFull.UserName, _bvGLAccountsFinancial.Master_Sub_Account,
IsNumeric(_bvGLTransactionsFull.Reference), _bvGLTransactionsFull.TrCode
Having
_bvGLTransactionsFull.TxDate > 01 / 11 / 2014 And
_bvGLTransactionsFull.Reference Like '5_____' And
_bvGLTransactionsFull.Credit > 0.01 And
_bvGLAccountsFinancial.Master_Sub_Account = '90210'
That's because you're matching on the credit field back to your table, which contains duplicates. You need to isolate the rows that are duplicated with ROW_NUMBER:
;WITH CTE AS (
SELECT *, ROW_NUMBER() OVER(PARTITION BY CREDIT ORDER BY (SELECT NULL)) AS RN
FROM _bvGLTransactionsFull)
Select
CTE.AccountDesc,
_bvGLAccountsFinancial.Description,
CTE.TxDate,
CTE.Description,
CTE.Credit,
CTE.Reference,
CTE.UserName
From
_bvGLAccountsFinancial Inner Join
CTE On _bvGLAccountsFinancial.AccountLink = CTE.AccountLink
WHERE CTE.RN > 1
Group By
CTE.AccountDesc, _bvGLAccountsFinancial.Description,
CTE.TxDate, CTE.Description,
CTE.Credit, CTE.Reference,
CTE.UserName, _bvGLAccountsFinancial.Master_Sub_Account,
IsNumeric(CTE.Reference), CTE.TrCode
Having
CTE.TxDate > 01 / 11 / 2014 And
CTE.Reference Like '5_____' And
CTE.Credit > 0.01 And
_bvGLAccountsFinancial.Master_Sub_Account = '90210'
Just as a side note, I would consider using aliases to shorten your queries and make them more readable. Prefixing the table name before each column in a join is very difficult to read.
I trust your code in terms of extracting all data per your criteria. With this, let me have a different approach and see your script "as-is". So then, lets keep first all the records in a temp.
Select
_bvGLTransactionsFull.AccountDesc,
_bvGLAccountsFinancial.Description,
_bvGLTransactionsFull.TxDate,
_bvGLTransactionsFull.Description,
_bvGLTransactionsFull.Credit,
_bvGLTransactionsFull.Reference,
_bvGLTransactionsFull.UserName
-- temp table
INTO #tmpTable
From
_bvGLAccountsFinancial Inner Join
_bvGLTransactionsFull On _bvGLAccountsFinancial.AccountLink =
_bvGLTransactionsFull.AccountLink
Where
_bvGLTransactionsFull.Credit
IN
(SELECT Credit AS NumOccurrences
FROM _bvGLTransactionsFull
GROUP BY Credit
HAVING (COUNT(Credit) > 1 ) )
Group By
_bvGLTransactionsFull.AccountDesc, _bvGLAccountsFinancial.Description,
_bvGLTransactionsFull.TxDate, _bvGLTransactionsFull.Description,
_bvGLTransactionsFull.Credit, _bvGLTransactionsFull.Reference,
_bvGLTransactionsFull.UserName, _bvGLAccountsFinancial.Master_Sub_Account,
IsNumeric(_bvGLTransactionsFull.Reference), _bvGLTransactionsFull.TrCode
Having
_bvGLTransactionsFull.TxDate > 01 / 11 / 2014 And
_bvGLTransactionsFull.Reference Like '5_____' And
_bvGLTransactionsFull.Credit > 0.01 And
_bvGLAccountsFinancial.Master_Sub_Account = '90210'
Then remove the "single occurrence" data by creating a row index and remove all those 1 time indexes.
SELECT * FROM (
SELECT
ROW_NUMBER() OVER (PARTITION BY Credit ORDER BY Credit) AS rowIdx
, *
FROM #tmpTable) AS innerTmp
WHERE
rowIdx != 1
You can change your preference through PARTITION BY <column name>.
Should you have any concerns, please raise it first as these are so far how I understood your case.
EDIT : To include those credits that has duplicates.
SELECT
tmp1.*
FROM #tmpTable tmp1
RIGHT JOIN (
SELECT
Credit
FROM (
SELECT
ROW_NUMBER() OVER (PARTITION BY Credit ORDER BY Credit) AS rowIdx
, *
FROM #tmpTable) AS innerTmp
WHERE
rowIdx != 1
) AS tmp2
ON tmp1.Credit = tmp2.Credit
Related
I wrote a query which uses 2 temp tables. And then joins them into 1. However, I am seeing duplicate records in the student visit temp table. (Query is below). How could this be modified to remove the duplicate records of the visit temp table?
with clientbridge as (Select *
from (Select visitorid, --Visid
roomnumber,
room_id,
profid,
student_id,
ambc.datekey,
RANK() over(PARTITION BY visitorid,student_id,profid ORDER BY ambc.datekey desc) as rn
from university.course_office_hour_bridge cohd
--where student_id = '9999999-aaaa-6634-bbbb-96fa18a9046e'
)
where rn = 1 --visitorid = '999999999999999999999999999999'---'1111111111111111111111111111111' --and pai.datekey is not null --- 00000000000000000000000000
),
-----------------Data Header Table
studentvisit as
(SELECT
--Visit key will allow us to track everything they did within that visit.
distinct visid_visitorid,
--calcualted_visitorid,
uniquevisitkey,
--channel, -- says the room they're in. Channel might not be reliable would need to see how that operates
--office_list, -- add 7 to exact
--user_college,
--first_office_hour_name,
--first_question_time_attended,
studentaccountid_5,
profid_officenumber_8,
studentvisitstarttime,
room_id_115,
--date_time,
qqq144, --Course Name
qqq145, -- Course Office Hour Benefit
qqq146, --Course Office Hour ID
datekey
FROM university.office_hour_details ohd
--left_join niversity.course_office_hour_bridge cohd on ohd.visid_visitorid
where DateKey >='2022-10-01' --between '2022-10-01' and '2022-10-27'
and (qqq146 <> '')
)
select
*
from clientbridge ab inner join studentvisit sv on sv.visid_visitorid = cb.visitorid
I wrote a query which uses 2 temp tables. And then joins them into 1. However, I am seeing duplicate records in the student visit temp table. (Query is below). How could this be modified to remove the duplicate records of the visit temp table?
I think you may get have a better shot by joining the two datasets in the same query where you want the data ranked, otherwise your rank from query will be ignored within the results from the second query. Perhaps, something like ->
;with studentvisit as
(SELECT
--Visit key will allow us to track everything they did within that visit.
distinct visid_visitorid,
--calcualted_visitorid,
uniquevisitkey,
--channel, -- says the room they're in. Channel might not be reliable would need to see how that operates
--office_list, -- add 7 to exact
--user_college,
--first_office_hour_name,
--first_question_time_attended,
studentaccountid_5,
profid_officenumber_8,
studentvisitstarttime,
room_id_115,
--date_time,
qqq144, --Course Name
qqq145, -- Course Office Hour Benefit
qqq146, --Course Office Hour ID
datekey
FROM university.office_hour_details ohd
--left_join niversity.course_office_hour_bridge cohd on ohd.visid_visitorid
where DateKey >='2022-10-01' --between '2022-10-01' and '2022-10-27'
and (qqq146 <> '')
)
,clientbridge as (
Select
sv.*,
university.course_office_hour_bridge cohd, --Visid
roomnumber,
room_id,
profid,
student_id,
ambc.datekey,
RANK() over(PARTITION BY sv.visitorid,sv.student_id,sv,profid ORDER BY ambc.datekey desc) as rn
from university.course_office_hour_bridge cohd
inner join studentvisit sv on sv.visid_visitorid = cohd.visitorid
)
select
*
from clientbridge WHERE rn=1
I have written the query shown here that combines three tables and returns rows where the at_ticket_num from appeal_tickets is duplicated but against a different at_sys_ref value
select top 100
t.t_reference, at.at_system_ref, at_ticket_num, a.a_case_ref
from
tickets t, appeal_tickets at, appeals_2 a
where
t.t_reference in ('AB123','AB234') -- filtering on these values so that I can see that its working
and t.t_number = at.at_ticket_num
and at.at_system_ref = a.a_system_ref
and at.at_ticket_num IN (select at_ticket_num
from appeal_tickets
group by at_ticket_num
having count(distinct at_system_ref) > 1)
order by
t.t_reference desc
This is the output:
t_reference at_system_ref at_ticket_num a_case_ref
-------------------------------------------------------
AB123 30838974 23641583 1111979010
AB123 30838976 23641583 1111979010
AB234 30839149 23641520 1111977352
AB234 30839209 23641520 1111988003
I want to modify this so that it only returns records where t_reference is duplicated but against a different a_case_ref. So in above case only records for AB234 would be returned.
Any help would be much appreciated.
You want all ticket appeals that have more than one system reference and more than one case reference it seems. You can join the tables, count the occurrences per ticket and then only keep the tickets that match these criteria.
select *
from
(
select
t.t_reference, at.at_system_ref, at.at_ticket_num, a.a_case_ref,
count(distinct a.a_system_ref) over (partition by at.at_ticket_num) as sysrefs,
count(distinct a.a_case_ref) over (partition by at.at_ticket_num) as caserefs
from tickets t
join appeal_tickets at on at.at_ticket_num = t.t_number
join appeals_2 a on a.a_system_ref = at.at_system_ref
) counted
where sysrefs > 1 and caserefs > 1
order by t.t_reference, at.at_system_ref, at.at_ticket_num, a.a_case_ref;
Correction
It seems that SQL Server still doesn't support COUNT(DISTINCT ...) OVER (...). You can count distinct values in a subquery though. Replace
count(distinct a.a_system_ref) over (partition by at.at_ticket_num) as sysrefs,
by
(
select count(distinct a2.a_system_ref)
from appeal_tickets at2
join appeals_2 a2 on a2.a_system_ref = at2.at_system_ref
where at2.at_ticket_num = t.t_number
) as sysrefs,
An alternative workaround is to use DENSE_RANK in two directions (found here: https://stackoverflow.com/a/53518204/2270762):
dense_rank() over (partition by at.at_ticket_num order by a.a_system_ref) +
dense_rank() over (partition by at.at_ticket_num order by a.a_system_ref desc) -
1 as sysrefs,
with data as (
<your query plus one column>,
case when
min() over (partition by t.t_reference)
<>
max() over (partition by t.t_reference)
then 1 end as dup
)
select * from data where dup = 1
Perhaps somebody can help with Ideas or a Solution. A User asked me for a negative report. We have a table with tickets each ticket has a ticket number which would be easy to select but the user wants a list of missing tickets between the first and last ticket in the system.
E.g. Select TicketNr from Ticket order by TicketNr
Result
1,
2,
4,
7,
11
But we actually want the result 3,5,6,8,9,10
CREATE TABLE [dbo].[Ticket](
[pknTicketId] [int] IDENTITY(1,1) NOT NULL,
[TicketNr] [int] NULL
) ON [PRIMARY]
GO
SQL Server 2016 - TSQL
Any ideas ?
So a bit more information is need all solution thus far works on small table. Our production database has over 4 million tickets. Hence why we need to find the missing ones.
First get the minimum and maximum, then generate all posible ticket numbers and finally select the ones that are missing.
;WITH FirstAndLast AS
(
SELECT
MinTicketNr = MIN(T.TicketNr),
MaxTicketNr = MAX(T.TicketNr)
FROM
Ticket AS T
),
AllTickets AS
(
SELECT
TicketNr = MinTicketNr,
MaxTicketNr = T.MaxTicketNr
FROM
FirstAndLast AS T
UNION ALL
SELECT
TicketNr = A.TicketNr + 1,
MaxTicketNr = A.MaxTicketNr
FROM
AllTickets AS A
WHERE
A.TicketNr + 1 <= A.MaxTicketNr
)
SELECT
A.TicketNr
FROM
AllTickets AS A
WHERE
NOT EXISTS (
SELECT
'missing ticket'
FROM
Ticket AS T
WHERE
A.TicketNr = T.TicketNr)
ORDER BY
A.TicketNr
OPTION
(MAXRECURSION 32000)
If you can accept the results in a different format, the following will do what you want:
select TicketNr + 1 as first_missing,
next_TicketNr - 1 as last_missing,
(next_TicketNr - TicketNr - 1) as num_missing
from (select t.*, lead(TicketNr) over (order by TicketNr) as next_TicketNr
from Ticket t
) t
where next_TicketNr <> TicketNr + 1;
This shows each sequence of missing ticket numbers on a single row, rather than a separate row for each of them.
If you do use a recursive CTE, I would recommend doing it only for the missing tickets:
with cte as (
select (TicketNr + 1) as missing_TicketNr
from (select t.*, lead(TicketNr) over (order by TicketNr) as next_ticketNr
from tickets t
) t
where next_TicketNr <> TicketNr + 1
union all
select missing_TicketNr + 1
from cte
where not exists (select 1 from tickets t2 where t2.TicketNr = cte.missing_TicketNr + 1)
)
select *
from cte;
This version starts with the list of missing ticket numbers. It then adds a new one, as the numbers are not found.
One method is to use recursive cte to find the missing ticket numbers :
with missing as (
select min(TicketNr) as mnt, max(TicketNr) as mxt
from ticket t
union all
select mnt+1, mxt
from missing m
where mnt < mxt
)
select m.*
from missing m
where not exists (select 1 from tickets t where t.TicketNr = m.mnt);
This should do the trick: SQL Fiddle
declare #ticketsTable table (ticketNo int not null)
insert #ticketsTable (ticketNo) values (1),(2),(4),(7),(11)
;with cte1(ticketNo, isMissing, sequenceNo) AS
(
select ticketNo
, 0
, row_number() over (order by ticketNo)
from #ticketsTable
)
, cte2(ticketNo, isMissing, sequenceNo) AS
(
select ticketNo, isMissing, sequenceNo
from cte1
union all
select a.ticketNo + 1
, 1
, a.sequenceNo
from cte2 a
inner join cte1 b
on b.sequenceNo = a.sequenceNo + 1
and b.ticketNo != a.ticketNo + 1
)
select *
from cte2
where isMissing = 1
order by ticketNo
It works by collecting all of the existing tickets, marking them as existing, and assigning each a consecutive number giving their order in the original list.
We can then see the gaps in the list by finding any spots where the consecutive order number shows the next record, but the ticket numbers are not consecutive.
Finally, we recursively fill in the gaps; working from the start of a gap and adding new records until that gap's consecutive numbers no longer has a gap between the related ticket numbers.
I think this one give you easiest solution
with cte as(
select max(TicketNr) maxnum,min(TicketNr) minnum from Ticket )
select a.number FROM master..spt_values a,cte
WHERE Type = 'P' and number < cte.maxnum and number > cte.minno
except
select TicketNr FROM Ticket
So After looking at all the solutions
I went with creating a temp table with a full range of number from Starting to Ending ticket and then select from the Temp table where the ticket number not in the ticket table.
The reason being I kept running in MAXRECURSION problems.
I have the following query:
SELECT AccountNumber, RptPeriod
FROM dbo.Report
ORDER BY AccountNumber, RptPeriod.
I get the following results:
123 200801
123 200802
123 200803
234 200801
344 200801
344 200803
I need to mark the record where the rptperiod doesnt flow concurrently for the account. For example 344 200803 would have an X next to it since it goes from 200801 to 200803.
This is for about 19321 rows and I want it on a company basis so between different companies I dont care what the numbers are, I just want the same company to show where there is breaks in the number pattern.
Any Ideas??
Thanks!
OK, this is kind of ugly (double join + anti-join) but it gets the work done, AND is pure portable SQL:
SELECT *
FROM dbo.Report R1
, dbo.Report R2
WHERE R1.AccountNumber = R2.AccountNumber
AND R2.RptPeriod - R1.RptPeriod > 1
-- subsequent NOT EXISTS ensures that R1,R2 rows found are "next to each other",
-- e.g. no row exists between them in the ordering above
AND NOT EXISTS
(SELECT 1 FROM dbo.Report R3
WHERE R1.AccountNumber = R3.AccountNumber
AND R2.AccountNumber = R3.AccountNumber
AND R1.RptPeriod < R3.RptPeriod
AND R3.RptPeriod < R2.RptPeriod
)
Something like this should do it:
-- cte lists all items by AccountNumber and RptPeriod, assigning an ascending integer
-- to each RptPeriod and restarting at 1 for each new AccountNumber
;WITH cte (AccountNumber, RptPeriod, Ranking)
as (select
AccountNumber
,RptPeriod
,row_number() over (partition by AccountNumber order by AccountNumber, RptPeriod) Ranking
from dbo.Report)
-- and then we join each row with each preceding row based on that "Ranking" number
select
This.AccountNumber
,This.RptPeriod
,case
when Prior.RptPeriod is null then '' -- Catches the first row in a set
when Prior.RptPeriod = This.RptPeriod - 1 then '' -- Preceding row's RptPeriod is one less that This row's RptPeriod
else 'x' -- -- Preceding row's RptPeriod is not less that This row's RptPeriod
end UhOh
from cte This
left outer join cte Prior
on Prior.AccountNumber = This.AccountNumber
and Prior.Ranking = This.Ranking - 1
(Edited to add comments)
WITH T
AS (SELECT *,
/*Each island of contiguous data will have
a unique AccountNumber,Grp combination*/
RptPeriod - ROW_NUMBER() OVER (PARTITION BY AccountNumber
ORDER BY RptPeriod ) Grp,
/*RowNumber will be used to identify first record
per company, this should not be given an 'X'. */
ROW_NUMBER() OVER (PARTITION BY AccountNumber
ORDER BY RptPeriod ) AS RN
FROM Report)
SELECT AccountNumber,
RptPeriod,
/*Check whether first in group but not first over all*/
CASE
WHEN ROW_NUMBER() OVER (PARTITION BY AccountNumber, Grp
ORDER BY RptPeriod) = 1
AND RN > 1 THEN 'X'
END AS Flag
FROM T
SELECT *
FROM report r
LEFT JOIN report r2
ON r.accountnumber = r.accountnumber
AND {r2.rptperiod is one day after r.rptPeriod}
JOIN report r3
ON r3.accountNumber = r.accountNumber
AND r3.rptperiod > r1.rptPeriod
WHERE r2.rptPeriod IS NULL
AND r3 IS NOT NULL
I'm not sure of sql servers date logic syntax, but hopefully you get the idea. r will be all the records where the next rptPeriod is NULL (r2) and there exists at least one greater rptPeriod (r3). The query isn't super straight forward I guess, but if you have an index on the two columns, it'll probably be the most efficent way to get your data.
Basically, you number rows within every account, then, using the row numbers, compare the RptPeriod values for the neighbouring rows.
It is assumed here that RptPeriod is the year and month encoded, for which case the year transition check has been added.
;WITH Report_sorted AS (
SELECT
AccountNumber,
RptPeriod,
rownum = ROW_NUMBER() OVER (PARTITION BY AccountNumber ORDER BY RptPeriod)
FROM dbo.Report
)
SELECT
AccountNumber,
RptPeriod,
CASE ISNULL(CASE WHEN r1.RptPeriod / 100 < r2.RptPeriod / 100 THEN 12 ELSE 0 END
+ r1.RptPeriod - r2.RptPeriod, 1) AS Chk
WHEN 1 THEN ''
ELSE 'X'
END
FROM Report_sorted r1
LEFT JOIN Report_sorted r2
ON r1.AccountNumber = r2.AccountNumber AND r1.rownum = r2.rownum + 1
It could be complicated further with an additional check for gaps spanning a year and more, if you need that.
I want to do some math on the previous rows in an SQL request in order to avoid doing it in my code.
I have a table representing the sales of two entities (the data represented here is doesn't make much sense and it's just an excerpt) :
YEAR ID SALES PURCHASE MARGIN
2009 1 10796820,57 2662369,19 8134451,38
2009 2 2472271,53 2066312,34 405959,19
2008 1 9641213,19 1223606,68 8417606,51
2008 2 3436363,86 2730035,19 706328,67
I want to know how the sales, purchase, margin... have evolved and compare one year to the previous one.
In short I want an SQL result with the evolutions pre-computed like this :
YEAR ID SALES SALES_EVOLUTION PURCHASE PURCHASE_EVOLUTION MARGIN MARGIN_EVOLUTION
2009 1 10796820,57 11,99 2662369,19 117,58 8134451,38 -3,36
2009 2 2472271,53 -28,06 2066312,34 -24,31 405959,19 -42,53
2008 1 9641213,19 1223606,68 8417606,51
2008 2 3436363,86 2730035,19 706328,67
I could do some ugly stuff :
SELECT *, YEAR, ID, SALES , (SALES/(SELECT SALES FROM TABLE WHERE YEAR = OUTER_TABLE.YEAR-1 AND ID = OUTER_TABLE.ID) -1)*100 as SALES_EVOLUTION (...)
FROM TABLE as OUTER_TABLE
ORDER BY YEAR DESC, ID ASC
But I have arround 20 fields for which I would have to do a nested query, meaning I would have a very huge and ugly query.
Is there a better way to do this, with less SQL ?
Using sql server (but this should work for almost any sql), with the table provided you can use a LEFT JOIN
DECLARE #Table TABLE(
[YEAR] INT,
ID INT,
SALES FLOAT,
PURCHASE FLOAT,
MARGIN FLOAT
)
INSERT INTO #Table ([YEAR],ID,SALES,PURCHASE,MARGIN) SELECT 2009,1,10796820.57,2662369.19,8134451.38
INSERT INTO #Table ([YEAR],ID,SALES,PURCHASE,MARGIN) SELECT 2009,2,2472271.53,2066312.34,405959.19
INSERT INTO #Table ([YEAR],ID,SALES,PURCHASE,MARGIN) SELECT 2008,1,9641213.19,1223606.68,8417606.51
INSERT INTO #Table ([YEAR],ID,SALES,PURCHASE,MARGIN) SELECT 2008,2,3436363.86,2730035.19,706328.67
SELECT cur.*,
((cur.Sales / prev.SALES) - 1) * 100
FROM #Table cur LEFT JOIN
#Table prev ON cur.ID = prev.ID AND cur.[YEAR] - 1 = prev.[YEAR]
The LEFT JOIN will allow you to still see values from 2008, where an INNER JOIN would not.
Old skool solution:
SELECT c.YEAR, c.ID, c.SALES, c.PURCHASE, c.MARGIN
, p.YEAR, p.ID, p.SALES, p.PURCHASE, p.MARGIN
FROM tab AS c -- current
INNER JOIN tab AS p -- previous
ON c.year = p.year - 1
AND c.id = p.id
If you have a db with analytical functions (MS SQL, Oracle) you can use the LEAD or LAG analytical functions, see http://www.oracle-base.com/articles/misc/LagLeadAnalyticFunctions.php
I think this would be the correct application:
SELECT c.YEAR, c.ID, c.SALES, c.PURCHASE, c.MARGIN
, LAG(c.YEAR, 1, 0) OVER (ORDER BY ID,YEAR)
, LAG(c.ID, 1, 0) OVER (ORDER BY ID,YEAR)
, LAG(c.SALES, 1, 0) OVER (ORDER BY ID,YEAR)
, LAG(c.PURCHASE, 1, 0) OVER (ORDER BY ID,YEAR)
, LAG(c.MARGIN, 1, 0) OVER (ORDER BY ID,YEAR)
FROM tab AS c -- current
(not really sure, haven't played with this enough)
You can do it like this:
SELECT t1.*, t1.YEAR, t1.ID, t1.SALES , ((t1.sales/t2.sales) -1) * 100 as SALES_EVOLUTION
(...)
FROM Table t1 JOIN Table t2 ON t1.Year = (t2.Year + 1) AND t1.Id = t2.Id
ORDER BY t1.YEAR DESC, t1.ID ASC
Now, if you want to compare more years, you'd have to do more joins, so it is a slightly ugly solution.