I have a logging table in my application that only logs changed data, and leaves the other columns NULL. What I'm wanting to do now is create a view that takes 2 of those columns (Type and Status),
and create a resultset that returns the Type and Status on the entry of that log row, assuming that either one or both columns could be null.
For example, with this data:
Type Status AddDt
A 1 7/8/2013
NULL 2 7/7/2013
NULL 3 7/6/2013
NULL NULL 7/5/2013
B NULL 7/4/2013
C NULL 7/3/2013
C 4 7/2/2013
produce the resultset:
Type Status AddDt
A 1 7/8/2013
A 2 7/7/2013
A 3 7/6/2013
A 3 7/5/2013
B 3 7/4/2013
C 3 7/3/2013
C 4 7/2/2013
From there I'm going to figure out the first time in these results the Type and Status meet certain conditions, such as a Type of B and Status 3 (7/4/2013) and ultimately use that date in a calculation, so performance is a huge issue with this.
Here's what I was thinking so far, but it doesn't get me where I need to be:
SELECT
Type.TypeDesc
, Status.StatusDesc
, *
FROM
jw50_Item c
OUTER APPLY (SELECT TOP 10000 * FROM jw50_ItemLog csh WHERE csh.ItemID = c.ItemID AND csh.StatusCode = 'OPN' ORDER BY csh.AddDt DESC) [Status]
OUTER APPLY (SELECT TOP 10000 * FROM jw50_ItemLog cth WHERE cth.ItemID = c.ItemID AND cth.ItemTypeCode IN ('F','FG','NG','PF','SXA','AB') ORDER BY cth.AddDt DESC) Type
WHERE
c.ItemID = #ItemID
So with the help provided below, I was able to get where I needed. Here is my final solution:
SELECT
OrderID
, CustomerNum
, OrderTitle
, ItemTypeDesc
, ItemTypeCode
, StatusCode
, OrdertatusDesc
FROM
jw50_Order c1
OUTER APPLY (SELECT TOP 1 [DateTime] FROM
(SELECT c.ItemTypeCode, c.OrderStatusCode, c.OrderStatusDt as [DateTime] FROM jw50_Order c WHERE c.OrderID = c1.OrderID
UNION
select (select top 1 c2.ItemTypeCode
from jw50_OrderLog c2
where c2.UpdatedDt >= c.UpdatedDt and c2.ItemTypeCode is not null and c2.OrderID = c.OrderID
order by UpdatedDt DESC
) as type,
(select top 1 c2.StatusCode
from jw50_OrderLog c2
where c2.UpdatedDt >= c.UpdatedDt and c2.StatusCode is not null and c2.OrderID = c.OrderID
order by UpdatedDt DESC
) as status,
UpdatedDt as [DateTime]
from jw50_OrderLog c
where c.OrderID = c1.OrderID AND (c.StatusCode IS NOT NULL OR c.ItemTypeCode IS NOT NULL)
) t
WHERE t.ItemTypeCode IN ('F','FG','NG','PF','SXA','AB') AND t.StatusCode IN ('OPEN')
order by [DateTime]) quart
WHERE quart.DateTime <= #FiscalPeriod2 AND c1.StatusCode = 'OPEN'
Order By c1.OrderID
The union is to bring in the current data in addition to the log table data to create the resultset, since the current data maybe what meets the conditions required. Thanks again for the help guys.
Here is an approach that uses correlated subqueries:
select (select top 1 c2.type
from jw50_Item c2
where c2.AddDt >= c.AddDt and c2.type is not null
order by AddDt
) as type,
(select top 1 c2.status
from jw50_Item c2
where c2.AddDt >= c.AddDt and c2.status is not null
order by AddDt
) as status,
(select AddDt
from jw50_Item c
If you have indexes on jw50_item(AddDt, type) and jw50_item(AddDt, status), then the performance should be pretty good.
I suppose you want to "generate a history": for those dates that has some data missing, the next available data should be set.
Something similar should work:
Select i.AddDt, t.Type, s.Status
from Items i
join Items t on (t.addDt =
(select min(t1.addDt)
from Items t1
where t1.addDt >= i.addDt
and t1.Type is not null))
join Items s on (s.addDt =
(select min(s1.addDt)
from Items s1
where s1.addDt >= i.addDt
and s1.status is not null))
Actually I'm joining the base table to 2 secondary tables and the join condition is that we match the smallest row where the respective column in the secondary table is not null (and of course smaller than the current date).
I'm not absolutely sure that it will work, since I don't have an SQL Server in front of me but give it a try :)
Related
Hi I have a table with following fields:
ALERTID POLY_CODE ALERT_DATETIME ALERT_TYPE
I need to query above table for records in the last 24 hour.
Then group by POLY_CODE and ALERT_TYPE and get the latest Alert_Level value ordered by ALERT_DATETIME
I can get up to this, but I need the AlertID of the resulting records.
Any suggestions what would be an efficient way of getting this ?
I have created an SQL in SQL Server. See below
SELECT POLY_CODE, ALERT_TYPE, X.ALERT_LEVEL AS LAST_ALERT_LEVEL
FROM
(SELECT * FROM TableA where ALERT_DATETIME >= GETDATE() -1) T1
OUTER APPLY (SELECT TOP 1 [ALERT_LEVEL]
FROM (SELECT * FROM TableA where ALERT_DATETIME >= GETDATE() -1) T2
WHERE T2.POLY_CODE = T1.POLY_CODE AND
T2.ALERT_TYPE = T1.ALERT_TYPE ORDER BY T2.[ALERT_DATETIME] DESC) X
GROUP BY POLY_CODE, ALERT_TYPE, X.[ALERT_LEVEL]
POLY_CODE ALERT_TYPE ALERT_LEVEL
04575 Elec 2
04737 Gas 3
06239 Elec 2
06552 Elec 2
06578 Elec 2
10320 Elec 2
select top 1 with ties *
from TableA
where ALERT_DATETIME >= GETDATE() -1
order by row_number() over (partition by POLY_CODE,ALERT_TYPE order by [ALERT_DATETIME] DESC)
The way this works is that for each group of POLY_CODE,ALERT_TYPE get their own row_number() starting from the most recent alert_datetime. Then, the with ties clause ensures that all rows(= all groups) with the row_number value of 1 get returned.
One way of doing it is creating a cte with the grouping that calculates the latesdatetime for each and then crosses it with the table to get the results. Just keep in mind that if there are more than one record with the same combination of poly_code, alert_type, alert_level and datetime they will all show.
WITH list AS (
SELECT ta.poly_code,ta.alert_type,MAX(ta.alert_datetime) AS LatestDatetime,
ta.alert_level
FROM dbo.TableA AS ta
WHERE ta.alert_datetime >= DATEADD(DAY,-1,GETDATE())
GROUP BY ta.poly_code, ta.alert_type,ta.alert_level
)
SELECT ta.*
FROM list AS l
INNER JOIN dbo.TableA AS ta ON ta.alert_level = l.alert_level AND ta.alert_type = l.alert_type AND ta.poly_code = l.poly_code AND ta.alert_datetime = l.LatestDatetime
I have two tables, Order and OrderItem. There is a one-to-many relationship on Order.Order_ID=OrderItem.Order_ID
I want a query to return a list showing the status of each Order, COMPLETE or INCOMPLETE.
A COMPLETE Order is defined as one where all the related OrderItem records have a non-NULL, non-empty value in the OrderItem.Delivery_ID field.
This is what I have so far:
SELECT Order.Order_ID, 'INCOMPLETE' AS Order_status
FROM Order
WHERE EXISTS
(SELECT *
FROM OrderItem
WHERE OrderItem.Order_ID=Order.Order_ID
AND (OrderItem.Delivery_ID IS NULL OR OrderItem.Delivery_ID=''))
UNION
SELECT Order.Order_ID, 'COMPLETE' AS Order_status
FROM Order
WHERE NOT EXISTS
(SELECT *
FROM OrderItem
WHERE OrderItem.Order_ID=Order.Order_ID
AND (OrderItem.Delivery_ID IS NULL OR OrderItem.Delivery_ID=''))
ORDER BY Order_ID DESC
It works, but runs a bit slow. Is there a better way?
(N.B. I've restated the problem for clarity, actual table and field names are different)
I would suggest you have a column status on your Order table and update the status to complete when all order items get delivered.
It will make simple your query to get status as well improve performance.
Put it into a subquery to try to make the case statement less confusing:
SELECT Order_ID,
CASE WHEN incomplete_count > 0 THEN 'INCOMPLETE' ELSE 'COMPLETE' END
AS Order_status
FROM ( SELECT o.Order_ID
,SUM( CASE WHEN OrderItem.Delivery_ID IS NULL OR OrderItem.Delivery_ID='' THEN 1 ELSE 0 END )
AS incomplete_count
FROM Order o
INNER JOIN OrderItem i ON (i.Order_ID = o.Order_ID)
GROUP by o.Order_ID
) x
ORDER BY ORder_ID DESC
The idea is to keep a counter every time you encounter a null item. If the sum is 0, there were no empty order items.
Try this one -
SELECT
o.Order_ID
, Order_status =
CASE WHEN ot.Order_ID IS NULL
THEN 'COMPLETE'
ELSE 'INCOMPLETE'
END
FROM dbo.[Order] o
LEFT JOIN (
SELECT DISTINCT ot.Order_ID
FROM dbo.OrderItem ot
WHERE ISNULL(ot.Delivery_ID, '') = ''
) ot ON ot.Order_ID = o.Order_ID
I have one table vwuser. I want join this table with the table valued function fnuserrank(userID). So I need to cross apply with table valued function:
SELECT *
FROM vwuser AS a
CROSS APPLY fnuserrank(a.userid)
For each userID it generates multiple records. I only want the last record for each empid that does not have a Rank of Term(inated). How can I do this?
Data:
HistoryID empid Rank MonitorDate
1 A1 E1 2012-8-9
2 A1 E2 2012-9-12
3 A1 Term 2012-10-13
4 A2 E3 2011-10-09
5 A2 TERM 2012-11-9
From this 2nd record and 4th record must be selected.
In SQL Server 2005+ you can use this Common Table Expression (CTE) to determine the latest record by MonitorDate that doesn't have a Rank of 'Term':
WITH EmployeeData AS
(
SELECT *
, ROW_NUMBER() OVER (PARTITION BY empId, ORDER BY MonitorDate DESC) AS RowNumber
FROM vwuser AS a
CROSS APPLY fnuserrank(a.userid)
WHERE Rank != 'Term'
)
SELECT *
FROM EmployeeData AS ed
WHERE ed.RowNumber = 1;
Note: The statement before this CTE will need to end in a semi-colon. Because of this, I have seen many people write them like ;WITH EmployeeData AS...
You'll have to play with this. Having trouble mocking your schema on sqlfiddle.
Select bar.*
from
(
SELECT *
FROM vwuser AS a
CROSS APPLY fnuserrank(a.userid)
where rank != 'TERM'
) foo
left join
(
SELECT *
FROM vwuser AS b
CROSS APPLY fnuserrank(b.userid)
where rank != 'TERM'
) bar
on foo.empId = bar.empId
and foo.MonitorDate > bar.MonitorDate
where bar.empid is null
I always need to test out left outers on dates being higher. The way it works is you do a left outer. Every row EXCEPT one per user has row(s) with a higher monitor date. That one row is the one you want. I usually use an example from my code, but i'm on the wrong laptop. to get it working you can select foo., bar. and look at the results and spot the row you want and make the condition correct.
You could also do this, which is easier to remember
SELECT *
FROM vwuser AS a
CROSS APPLY fnuserrank(a.userid)
) foo
join
(
select empid, max(monitordate) maxdate
FROM vwuser AS b
CROSS APPLY fnuserrank(b.userid)
where rank != 'TERM'
) bar
on foo.empid = bar.empid
and foo.monitordate = bar.maxdate
I usually prefer to use set based logic over aggregate functions, but whatever works. You can tweak it also by caching the results of your TVF join into a table variable.
EDIT:
http://www.sqlfiddle.com/#!3/613e4/17 - I mocked up your TVF here. Apparently sqlfiddle didn't like "go".
select foo.*, bar.*
from
(
SELECT f.*
FROM vwuser AS a
join fnuserrank f
on a.empid = f.empid
where rank != 'TERM'
) foo
left join
(
SELECT f1.empid [barempid], f1.monitordate [barmonitordate]
FROM vwuser AS b
join fnuserrank f1
on b.empid = f1.empid
where rank != 'TERM'
) bar
on foo.empId = bar.barempid
and foo.MonitorDate > bar.barmonitordate
where bar.barempid is null
I have 2 Excel files which I imported into MS Access as two tables. These two tables are identical but imported on different dates.
Now, how can I find out what rows and what fields are updated on the later date? Any help would be highly appreciated.
Finding Inserted records is easy
select * from B where not exists (select 1 from A where A.pk=B.pk)
Finding Deleted records is just as easy
select * from A where not exists (select 1 from B where A.pk=B.pk)
Finding Updated records is a pain. The following rigorous query assumes you have nullable columns and it should work in all situations.
select B.*
from B
inner join A on B.pk=A.pk
where A.col1<>B.col1 or (IsNull(A.col1) and not IsNull(B.col1)) or (not IsNull(A.col1) and IsNull(B.col1))
or A.col2<>B.col2 or (IsNull(A.col2) and not IsNull(B.col2)) or (not IsNull(A.col2) and IsNull(B.col2))
or A.col3<>B.col3 or (IsNull(A.col3) and not IsNull(B.col3)) or (not IsNull(A.col3) and IsNull(B.col3))
etc...
If the columns are defined as NOT NULL then the query is much simper, just remove all the NULL tests.
If the columns are nullable but you can identify a value that will never appear in the data, then use a simple comparison like:
Nz(A.col1,neverAppearingValue)<>Nz(B.col1,neverAppearingValue)
I believe this should be as simple as running a query like this:
SELECT *
FROM Table1
JOIN Table2
ON Table1.ID = Table2.ID AND Table1.Date != Table2.Date
One way to do this is by unpivoting both tables, so you get a new table with , , . Note, though, that you have to take types into account.
For example, the following gets differences in fields:
with oldt as (select id, col, val
from <old table> t
unpivot (val for col in (<column list>)) unpvt
),
newt as (select id, col, val
from <new table> t
unpivot (val for col in (<column list>)) unpvit
)
select *
from oldt full outer join newt on oldt.id = newt.id
where oldt.id is null or newt.id is null
The alternative way with a join is rather cumbersome. This version shows whether columns are added, deleted, and which columns changed if any:
select *
from (select coalesce(oldt.id, newt.id) as id,
(case when oldt.id is null and newt.id is not null then 'ADDED'
when oldt.id is not null and newt.id is null then 'DELETED'
else 'SAME'
end) as stat,
(case when oldt.col1 <> newt.col1 or oldt.col1 is null and newt.col1 is null
then 1 else 0 end) as diff_col1,
(case when oldt.col2 <> newt.col2 or oldt.col2 is null and newt.col2 is null
then 1 else 0 end) as diff_col2,
...
from <old table> oldt full outer join <new table> newt on oldt.id = newt.id
) c
where status in ('ADDED', 'DELETED') or
(diff_col1 + diff_col2 + ... ) > 0
It does have the advantage of working for any data types.
(Select * from OldTable Except Select *from NewTable)
Union All
(Select * from NewTable Except Select *from OldTable)
I have a feeling once i see the solution i'll slap my forehead, but right now I'm not seeing it.
I have a lookup table, say TableB, which looks like this. All fields are INT except the last two which are BOOL.
ID, TableA_ID, Value, Required, Disqualifies
I have a list of TableA_Id values (1, 2, 3 ) etc
For each record in this table, either Required can be true or disqualified can be true - they cant both be true at the same time. They can both be false or null though. There can be duplicate values of TableA_Id but there should never be duplicates of TableA_Id and Value
If required is true for any of those TableA_ID values, and none of those values are in my list, return no records. If none of the values are marked as required (required = 0 or null) then return records UNLESS any of the values are marked as Disqualifies and are in the list, in which case i want to return no records.
So - if a field is required and i dont have it, dont return any records. If a field is marked as disqualified and i have it, don't return any records. Only return a record if either i have a required value or don't have a disqualified value or there are no required values.
I hope I explained myself clearly.
Thanks in advance for pointing me in the right direction.
As an example of what my records might look like:
ID TableA_ID Value Required Disqualifies
-- --------- ----- -------- ------------
1 123 1 True False
2 123 2 True False
3 123 3 False False
4 123 4 False True
5 456 1 False True
6 456 2 False False
Given this set of sample data, if we're working with TableA_Id 123 and my list of values is lets say 1 and 3, i would get data returned because i have a required value and dont have any disqualified values. If my list of values were just 3, i'd get no records since i'm missing of the Required values. If my list of values were 1 and 4, i'd get no records because 4 is marked as disqualified.
Now if we're working with TableA_Id 456, the only list of values that would return any records is 2.
Maybe i should post the whole SQL query - i was trying to keep this short to make it easier for everyone, but it looks like maybe that's not working so well.
Here is the full dynamically generated query. The bit i am working on now is the 2nd line from the bottom. To equate this to my example, t.id would be TableA_ID, Value would be PDT_ID.
SELECT DISTINCT t.ID, t.BriefTitle, stat.Status, lstat.Status AS LocationStatus, st.SType, t.LAgency, l.City, state.StateCode
,( SELECT TOP 1 UserID
FROM TRecruiter
WHERE TrialID = t.ID AND Lead = 1 ), l.ID as LocationID
, l.WebBased
FROM Trial t
INNER JOIN Location l ON t.ID = l.TrialID
FULL JOIN pdt on t.ID = pdt.trialid
FULL JOIN pdm on t.ID = pdm.TrialID
FULL JOIN s on t.ID = s.TrialID
FULL JOIN hy on t.ID = hy.TrialID
FULL JOIN ta on t.ID = ta.TrialID
FULL JOIN stt on t.ID = stt.TrialID
FULL JOIN [Status] stat ON t.StatusID = stat.ID
FULL JOIN st ON t.StudyTypeID = st.ID
FULL JOIN State state ON l.StateID = state.ID
FULL JOIN [Status] lstat ON l.StatusID = lstat.ID
FULL JOIN ts ON t.ID = ts.TrialID
FULL JOIN tpdm ON t.ID = tpdm.TrialID
WHERE ((t.ID IS NOT NULL)
AND (EligibleHealthyVolunteers IS NULL OR EligibleHealthyVolunteers = 1 OR (0 = 0 AND EligibleHealthyVolunteers = 0))
AND (eligiblegenderid is null OR eligiblegenderid = 1 OR eligiblegenderid = 3)
AND ((EligibleMinAge <= 28 AND EligibleMaxAge >= 28) OR (EligibleMinAge <= 28 AND EligibleMaxAge is null) OR (EligibleMinAge IS NULL AND EligibleMaxAge >= 28))
AND (HYID = 6 AND (hy.Disqualify = 0 OR hy.Disqualify IS NULL AND NOT EXISTS (SELECT * FROM hy WHERE t.id = hy.TrialID AND hy.Req =1)) OR HYID = 6 AND hy.req = 1)
AND (PDT_ID IN (1) AND ( pdt.Disqualify = 0 OR pdt.Disqualify IS NULL AND NOT EXISTS (select * from pdt where t.id = pdt.TrialID AND pdt.Req = 1)) OR PDT_ID IN (1) AND (pdt.Req = 1 AND (pdt.Disqualify = 0 or pdt.Disqualify is null )))
) AND ((3959 * acos(cos(radians(34.18)) * cos(radians(l.Latitude)) * cos(radians(l.Longitude) - radians(-118.46)) + sin(radians(34.18)) * sin(radians(l.Latitude)))) <= 300 OR l.Latitude IS NULL) AND t.IsPublished = 1 AND (t.StatusID = 1 OR t.StatusID = 2)
I've changed/shortened some table names just for security/privacy reasons.
Edit:
I think i am close to getting this working, but I'm getting tripped up on the logic again.
I have the following bit of sql:
AND ( exists (SELECT * FROM pdt WHERE Req = 1 AND trialid = t.id AND pdT_ID IN (2) ) AND EXISTS (SELECT * FROM pdt WHERE Req = 1 AND trialid = t.id ) )
I'm not sure how to structure this. Those two exists statement should make the whole thing true in the following combination:
True & False
True & True
False & False
If it's False & True, then the whole thing is false. In other words if there is a Req =1 AND the PDT_ID that is marked as Req=1 is not in our list (in the example above the list just contains '2') then return false.
EDIT:
I think i finally got it.
AND NOT EXISTS (SELECT * FROM pdt WHERE Disqualify = 1 AND trialid = t.id AND PDT_ID IN (2) )
AND NOT ( NOT exists (SELECT * FROM pdt WHERE Req = 1 AND trialid = t.id AND PDT_ID IN (2) ) AND EXISTS (SELECT * FROM pdt WHERE Req = 1 AND trialid = t.id ) )
So far this seems to work in testing. Although I'm only working with two values of PDT_ID. If this does resolve my problem, i will come back and give someone the credit for helping me.
SELECT *
FROM TABLEB B
WHERE
(
B.REQUIRED = 1
AND EXISTS
(
SELECT 1
FROM TABLEA A
WHERE A.ID =B.TABLEA_ID
)
)
OR
(
B.REQUIRED != 1
AND B.DISQUALIFIES <> 1
)
OR
(
B.REQUIRED != 1
AND B.DISQUALIFIES = 1
AND EXISTS
(
SELECT 1
FROM TABLEA A
WHERE A.ID =B.TABLEA_ID
)
)
UPDATE - after the EDIT and explanation from OP:
Change the line
FULL JOIN pdt on t.ID = pdt.trialid
To
FULL JOIN (SELECT * FROM pdt BB WHERE
BB.TrialID IN (SELECT AA.ID FROM Trial AA WHERE AA.ID = BB.TrialID) AND
1 > (SELECT COUNT(*) FROM Trial A
LEFT OUTER JOIN pdt B ON B.Req != 1 AND B.Disqualify != 1 AND B.TrialID = A.ID
WHERE B.TrialID IS NULL)) pdt ON t.ID = pdt.TiralID
AND change the line before last from
AND (PDT_ID IN (1) AND ( pdt.Disqualify = 0 OR pdt.Disqualify IS NULL AND NOT EXISTS (select * from pdt where t.id = pdt.TrialID AND pdt.Req = 1)) OR PDT_ID IN (1) AND (pdt.Req = 1 AND (pdt.Disqualify = 0 or pdt.Disqualify is null )))
To
AND PDT_ID IN (1)
(You seem to have found a solution, yet I've decided to share my thoughts about this problem anyway.)
Given you've got a set of TableA IDs, each of which is accompanied by a set of some values, and you want to test the entire row set against this TableB thing using the rules you've set forth, I think the entire checking process might look like this:
Match every pair of TableA.ID and Value against TableB and get aggregate maximums of Required and Disqualifies for every TableA.ID along the way.
Derive a separate list of TableA_ID values with their corresponding maximum values of Required, from TableB. That will be for us to know whether a particular TableA_ID must have a required value at all.
Match the row set obtained at Stage 1 against the derived table (Stage 2) and check the aggregate values:
1) if the actual aggregate Disqualifies for a TableA_ID is 1, discard this TableA_ID set;
2) if a TableA_ID has a match in the Stage 2 derived table and the aggregate maximum of Required that we obtained at Stage 1 doesn't match the maximum Required in the derived table, discard the set as well.
Something tells me that it would be better at this point to move on to some sort of illustration. Here's a sample script, with comments explaining which part of the script implements which part of the description above:
;
WITH
/* this is the row set to be tested and which
is supposed to contain TableA.IDs and Values */
testedRowSet AS (
SELECT
TableA.ID AS TableA_ID,
SomethingElse.TestedValue AS Value,
...
FROM TableA
JOIN SomethingElse ON some_condition
...
),
/* at this point, we are getting the aggregate maximums
of TableB.Required and TableB.Disqualifies for every
TableA_ID in testedRowSet */
aggregated AS (
SELECT
testedRowSet.TableA_ID,
testedRowSet.Value,
...
DoesHaveRequiredValues = MAX(CASE TableB.Required WHEN 1 THEN 1 ELSE 0 END) OVER (PARTITION BY testedRowSet.TableA_ID),
HasDisqualifyingValues = MAX(CASE TableB.Disqualifies WHEN 1 THEN 1 ELSE 0 END) OVER (PARTITION BY testedRowSet.TableA_ID)
FROM testedRowSet
LEFT JOIN TableB ON testedRowSet.TableA_ID = TableB.TableA_ID
AND testedRowSet.Value = TableB.Value
),
/* this row set will let us see whether a particular
TableA_ID must have a required value */
properties AS (
SELECT
TableA_ID,
MustHaveRequiredValues = MAX(CASE Required WHEN 1 THEN 1 ELSE 0 END)
FROM TableB
GROUP BY TableA_ID
),
/* this is where we are actually checking the previously
obtained aggregate values of Required and Disqualifies */
tested AS (
SELECT
aggregated.TableA_ID,
aggregated.Value,
...
FROM aggregated
LEFT JOIN properties ON aggregated.TableA_ID = properties.TableA_ID
WHERE aggregated.HasDisqualifyingValues = 0
AND (properties.TableA_ID IS NULL
OR properties.MustHaveRequiredValues = aggregated.DoesHaveRequiredValues)
)
SELECT * FROM tested