I have two tables, tblEntities and tblScheduling.
tblEntities:
EntityID ShortName Active
1 Dirtville 1
2 Goldtown 1
3 Blackston 0
4 Cornfelt 1
5 Vick 1
tblScheduling:
ScheduleID EntityID SchedulingYearID
1 1 20
2 1 21
3 2 20
4 3 19
5 5 20
I need a query that will show ALL ACTIVE Entities and their schedule information for a particular ScheduleYearID.
Output should look like (the desired SchedulingYearID in this case is 20):
EntityID ScheduleID
1 1
2 3
4 NULL
5 5
The query that I have written so far is:
SELECT tblEntities.EntityID, tblEntities.ShortName, tblScheduling.ScheduleID
FROM tblScheduling RIGHT OUTER JOIN
tblEntities ON tblScheduling.EntityID = tblEntities.EntityID
WHERE (tblScheduling.SchedulingYearID = #SchedulingYearID)
AND (tblEntities.Active = 1)
ORDER BY tblEntities.EntityID
My problem is that using this query it will not include active entities without schedule information (such as EntityID 4 in the example above). I can write the query to display all active entities and their schedule status fine, but once I start limiting it via the SchedulingYearID I lose those particular entities.
Are there any solutions that I am obviously missing without having to resort to subqueries, cursors, etc.? If not it's not a big deal, I just feel like I am missing something simple here.
Try this... Join conditions are evaluated to produce the intermediate Join result set, and then, (for an outer join), all the rows from the "Outer" side are added back in before moving on... Where conditions are evaluated after all joins are done...
SELECT E.EntityID, E.ShortName, S.ScheduleID
FROM tblEntities E
Left Join tblScheduling S
ON S.EntityID = E.EntityID
And S.SchedulingYearID = #SchedulingYearID
WHERE E.Active = 1
ORDER BY E.EntityID
I change your join order cause I prefer left joins... but it doesn't matter
It's your conditions in the where clause:
(tblScheduling.SchedulingYearID = #SchedulingYearID)
when there is no tblScheduling info this wil always fail. Add
(((tblScheduling.SchedulingYearID = #SchedulingYearID) OR (tblScheduling.SchedulingYearID is null) )
or wathever null condition checking your DB uses.
I think the trouble is that the WHERE clause is filtering out the rows where SchedulingYearID is null. So don't.
SELECT tblEntities.EntityID, tblEntities.ShortName, tblScheduling.ScheduleID
FROM tblScheduling RIGHT OUTER JOIN
tblEntities ON tblScheduling.EntityID = tblEntities.EntityID
WHERE (tblScheduling.SchedulingYearID = #SchedulingYearID OR
tblScheduling.SchedulingYearID IS NULL)
AND (tblEntities.Active = 1)
ORDER BY tblEntities.EntityID;
Related
In MS Access 365, I have two tables (TClients & TPlans) that I am trying to combine into a single Query (QClientsExtended). Each client could have many or no associated entries on the TPlan list. In my final query, I would like it to list every client regardless of wether or not they have a plan, and give me the date and the details of the most recent plan, if there is one.
I've read all the relevant W3C reference pages, and looked at so many possible solutions, and i've struggled to turn them into something that works for this. It feels like it should be SO simple, I appreciate I'm probably missing a fundamental aspect of SQL coding.
TClients
ClientID ClientFullName ExternalAppts
1 Testy McTestFace 1
2 Clemence Closed 0
3 Nancy New Ref 3
4 Juan One Appt 0
TPlans
PlanID ClientID PlanDetails PlanDate
1 3 Plan 1 05-Dec-22
2 3 Plan 2 10-Dec-22
3 1 plan 10-Dec-22
4 4 nil 05-Dec-22
Qclients Extended
ClientID ClientFullName PlanDetails PlanDate ExternalAppts
1 Testy McTestFace Plan 2 10-Dec-22 1
2 Clemence Closed 0
3 Nancy New Ref plan 10-Dec-22 3
4 Juan One Appt nil 05-Dec-22 0
I've found a solution, but it feels incredibly clunky. I have made two Queries, one to find the most recent date for each client, and the second to Left Join this with the Client Table. I'm sure this should be doable in a single query, but maybe it can't be done in Access. Here are my two Queries:
QlastPlan
SELECT t1.*
FROM TPlans AS t1
INNER JOIN (
SELECT [ClientID],
MAX(PlanDate) AS LastPlan
FROM TPlans
GROUP BY [ClientID])
AS t2 ON (t1.[PlanDate] = t2.LastPlan) AND (t1.[ClientID] = t2.[ClientID]);
QClients
SELECT
TC.*,
QLP.PlanDetails,
QLP.PlanDate,
FROM TClients TC
LEFT JOIN QlastPlan QLP on TC.ClientID = QLP.ClientID;
So perhaps there's another option someone can suggest, but this is what I will run with for now.
Try with a Left Join:
SELECT
TClients.ClientID,
TClients.ClientFullName,
TPlans.PlanDetails,
TPlans.PlanDate,
TClients.ExternalAppts
FROM
TClients
LEFT JOIN
TPlans ON TClients.ClientID = TPlans.ClientID
GROUP BY
TClients.ClientID,
TClients.ClientFullName,
TPlans.PlanDetails,
TPlans.PlanDate,
TClients.ExternalAppts
HAVING
TPlans.PlanDate=
(Select Max(PlanDate) From [TPlans] As T Where T.ClientID = TClients.[ClientID])
OR
TPlans.PlanDate Is Null
I'm quite the beginner so I suppose some of you would have an easy time on my task but I need some help:
I have 3 DBs. dbo_A_Personal, dbo_Z_Ferien and dbo_Z_ERFASSUNG
A_Pers has a Pers_ID (LPE_ID) that I can use to join Z_Ferien and Z_ERFASSUNG on.
In Z_Ferien I have 4 rows with that pers_ID and in Z_ERFASSUNG 96.
What I need is a result that has columns that are basically like that:
PersID
Erf
Fer
1224
5
0
1234
4
0
1234
6
0
1234
0
6
so far I have this:
SELECT dbo_A_PERSONAL.LPE_ID, dbo_Z_Ferien.ZFE_TAGE, dbo_Z_ERFASSUNG.ZER_Std100
FROM dbo_A_PERSONAL
INNER JOIN dbo_Z_Ferien ON dbo_A_PERSONAL.LPE_ID = dbo_Z_Ferien.ZFE_LPE_ID
INNER JOIN dbo_Z_ERFASSUNG ON dbo_A_PERSONAL.LPE_ID = dbo_Z_ERFASSUNG.ZER_LPE
WHERE dbo_A_PERSONAL.LPE_ID=804 AND dbo_Z_ERFASSUNG.ZER_EIGENSCH = 3;
I need that so I can sum up the value I need from Z_ERFASSUNG and Z_Ferien but I don't know how to make it so each value is only "printed" once.
I hope I explained it well enough so you guys can help me out.
If I understand correctly an aggerate function is what you need here.
I added a sum function of both dbo_Z_Ferien & dbo_Z_ERFASSUNG, as well as adding a group by statement for LPE_ID. Which tells SQL to partition the sum only on LPE_ID
SELECT dbo_A_PERSONAL.LPE_ID, sum(dbo_Z_Ferien.ZFE_TAGE), sum(dbo_Z_ERFASSUNG.ZER_Std100)
FROM dbo_A_PERSONAL
INNER JOIN dbo_Z_Ferien ON dbo_A_PERSONAL.LPE_ID = dbo_Z_Ferien.ZFE_LPE_ID
INNER JOIN dbo_Z_ERFASSUNG ON dbo_A_PERSONAL.LPE_ID = dbo_Z_ERFASSUNG.ZER_LPE
WHERE dbo_A_PERSONAL.LPE_ID=804 AND dbo_Z_ERFASSUNG.ZER_EIGENSCH = 3
GROUP BY dbo_A_PERSONAL
This is a modification to a previous question original answer , I hope the proper thing to do is start a new thread.
I have a table called Parts, PartRefID is the PK
PartRefID PartDefID AssemblyID
1 2 c63df10b-8250-4aa5-9889-9e8046331dbf
11 1 db51f4a8-3ffa-41f7-81c1-a9accbbb299a
67 6 136fc5d8-7b65-41b5-bca3-7d4180a1e0ab
77 5 38fa8b7a-2945-4546-8eab-7865a1e515b2
133 2 c63df10b-8250-4aa5-9889-9e8046331dbf
134 6 136fc5d8-7b65-41b5-bca3-7d4180a1e0ab
I need to extract rows with a unique AssemblyID. This was answered by GMB with the following sql:
select *
from parts as p
where [PartRefID] = (
select max(p1.[PartRefID])
from parts as p1
where p1.[AssemblyID] = p.[AssemblyID] and p1.[PartDefID] = 2
)
which worked beautifully. However requirements have changed and I must ignore the PartDefID field and there could also be AssemblyID's which represent parts I do not want.
The AssemblyID's shown in the above table represent an electrical connector part.
Electrical connector parts will ALWAYS have a Partclass of 1 which is defined in another table called PartDefinitions shown here:
PartDefID PartClass PartNumber
1 1 MS27467T23F55P
2 1 330-00186-09
3 2 336-00024-00
4 2 336-00022-00
5 1 MS27468T23F55S
6 1 330-00184-09
with my limited sql knowledge I decided a join was necessary and came up with the following code:
SELECT Parts.*, PartDefinitions.PartClass
From PartDefinitions
INNER Join Parts
On PartDefinitions.PartDefID = Parts.PartDefID
Where (((PartDefinitions.PartClass) = 1))
this gets me close, it produces all the parts in the parts table which are connectors. However there are some duplicate AssemblyID's.
what I need is to produce the following:
PartRefID PartDefID AssemblyID
1 2 c63df10b-8250-4aa5-9889-9e8046331dbf
11 1 db51f4a8-3ffa-41f7-81c1-a9accbbb299a
67 6 136fc5d8-7b65-41b5-bca3-7d4180a1e0ab
77 5 38fa8b7a-2945-4546-8eab-7865a1e515b2
my apologies if I have not made a clear and concise question
thanks for any help
and thanks again GMB
If I understand correctly, you want to filter by the PartClassId in both the subquery and the outer query:
select p.*, pd.PartClass
From Parts as p inner join
PartDefinitions as pd
on pd.PartDefID = p.PartDefID
where pd.PartClassId = 1 and
p.pPartRefID = (select max(p2.pPartRefID)
from parts as p2 inner join
PartDefinitions as pd2
on pd2.PartDefID = pd.PartDefID
where p2.AssemblyID = p.AssemblyID and
p2.PartClassId = 1
)
Morning,
I have two tables. The first table (SecurityRules) is a list of security rules:
ID srRight srRole
1 4 NULL
2 2 32
The second table (Projects) is a list of Projects :
ProjId prRight prRole
1 0 NULL
2 0 32
3 0 NULL
I need to update the list of projects with all the records from SecurityRules and update the prRight column based on the Role from both tables. The Right values are bitwise-organised.
I used the following SQL update query to do this:
Update Projects
-- Perform binary sum
Set prRight = prRight | srRight
From SecurityRules
Where (srRole is Null) --Always apply srRight if srRole is not defined
OR (srRole is Not Null And srRole=prRole) --Apply right if both roles are equal
The expected result is:
ProjId prRight prRole
1 4 NULL
2 6 32
3 4 NULL
But I get:
ProjId prRight prRole
1 4 NULL
2 4 32
3 4 NULL
It looks like the update is done only by the first record of the SecurityRules table. And I need to apply all the records from the SecurityRules table to all records of the Project table.
If I create a simple loop and manually looped all the records from SecurityRules it is working fine, but the performance is very poor if you have to compare 10 security rules to 2000 projects...
Any suggestion?
Arno
This answer is based on the code in this answer for generating a bitwise OR of values. It uses CTEs to generate a bit mask for each rights value and then the overall bitwise OR by summing the distinct bit masks present in each of the rights values. The output of the last CTE is then used to update the Projects table:
WITH Bits AS (
SELECT 1 AS BitMask
UNION ALL
SELECT 2 * BitMask FROM Bits
WHERE BitMask < 65536
),
NewRights AS (
SELECT ProjId, SUM(DISTINCT BitMask) AS NewRight
FROM Projects p
JOIN SecurityRules s ON s.srRole IS NULL OR s.srRole = p.prRole
JOIN Bits b ON b.BitMask & s.srRight > 0
GROUP BY ProjID
)
UPDATE p
SET p.prRight = n.NewRight
FROM Projects p
JOIN NewRights n ON n.ProjId = p.ProjId
Resultant Projects table:
ProjId prRight prRole
1 4 null
2 6 32
3 4 null
Demo on dbfiddle
If I understand correctly, you have a direct match on the srRole column and then a default rule that applies to everyone.
The simplest method (in this case) is to use joins in the update:
update p
Set prRight = p.prRight | srn.srRight | coalesce(sr.srRight, 0)
From Projects p join
SecurityRules srn
on srRole is null left join
SecurityRules sr
on sr.srRole = p.prRole;
Here is a db<>fiddle.
You might be safer assuming no default rule. And that prRight could be NULL:
update p
Set prRight = coalesce(p.prRight, 0) | coalesce(srn.srRight, 0) | coalesce(sr.srRight, 0)
From Projects p left join
SecurityRules srn
on srRole is null left join
SecurityRules sr
on sr.srRole = p.prRole;
That said, I would recommend that you consider revising your data model. Bit fiddling is a lot of fun in programming languages. However, it is generally not the best approach in databases. Instead use junction tables, unless your application has some real need for bit switches.
I have a query is used to display information in a queue and part of that information is showing the amount of child entities (packages and labs) that belong to the parent entity (change). However instead of showing the individual counts of each type of child, they multiply with one another.
In the below case, there are supposed to be 3 labs and 18 packages, however the the multiply with one another and the output is 54 of each.
Below is the offending portion of the query.
SELECT cef.ChangeId, COUNT(pac.PackageId) AS 'Packages', COUNT(lab.LabRequestId) AS 'Labs'
FROM dbo.ChangeEvaluationForm cef
LEFT JOIN dbo.Lab
ON cef.ChangeId = Lab.ChangeId
LEFT JOIN dbo.Package pac
ON (cef.ChangeId = pac.ChangeId AND pac.PackageStatus != 6 AND pac.PackageStatus !=7)
WHERE cef.ChangeId = 255
GROUP BY cef.ChangeId
I feel like this is obvious but it's not occurring to me how to fix it so the two counts are independent of one another like to me they should be. There doesn't seem to be a scenario like this in any of my research either. Can anyone guide me in the right direction?
Because you do multiply source rows by each left join. So sometimes you have more likely cross join here.
SELECT cef.ChangeId, p.Packages, l.Labs
FROM dbo.ChangeEvaluationForm cef
OUTER APPLY(
SELECT COUNT(*) as Labs
FROM dbo.Lab
WHERE cef.ChangeId = Lab.ChangeId
) l
OUTER APPLY(
SELECT COUNT(*) AS Packages
FROM dbo.Package pac
WHERE (cef.ChangeId = pac.ChangeId AND pac.PackageStatus != 6 AND pac.PackageStatus !=7)
) p
WHERE cef.ChangeId = 255
GROUP BY cef.ChangeId
perhaps GROUP BY is not needed now.
From you question its difficult to derive what result do you expect from your query. So I presume you want following result:
+----------+----------+------+
| ChangeId | Packages | Labs |
+----------+----------+------+
| 255 | 18 | 3 |
+----------+----------+------+
Try below query if you are looking for above mentioned result.
SELECT cef.ChangeId, ISNULL(pac.PacCount, 0) AS 'Packages', ISNULL(Lab.LabCount, 0) AS 'Labs'
FROM dbo.ChangeEvaluationForm cef
LEFT JOIN (SELECT Lab.ChangeId, COUNT(*) LabCount FROM dbo.Lab GROUP BY) Lab
ON cef.ChangeId = Lab.ChangeId
LEFT JOIN (SELECT pac.ChangeId, COUNT(*) PacCount FROM dbo.Package pac WHERE pac.PackageStatus != 6 AND pac.PackageStatus !=7 GROUP BY pac.ChangeId) pac
ON cef.ChangeId = pac.ChangeId
WHERE cef.ChangeId = 255
Query Explanation:
In your query you didn't use group by, so it ended up giving you 54 as count which is Cartesian product.
In this query I tried to group by 'ChangeId' and find aggregate before joining tables. So 3 labs and 18 packages will be counted before join.
Your will also notice that I have moved PackageStatus filter before group by in pac table. So unwanted record won't mess with our count.
You start with a particular ChangeId from the dbo.ChangeEvaluationForm table (ChangeId = 255 from your example), then join to the dbo.Lab table. This join makes your result go from 1 row to 3, considering there are 3 Labs with ChangeId = 255. Your problem is on the next join, you are joining all 3 resulting rows from the previous join with the dbo.Package table, which has 18 rows for ChangeId = 255. The resulting count for columns pac.PackageId and lab.LabRequestId will then be 3 x 18 = 54.
To get what you want, there are 2 easy solutions:
Use COUNT DISTINCT instead of COUNT. This will just count the different values of pac.PackageId and lab.LabRequestId and not the repeated ones.
Split the joins into 2 subqueries and join their result (by ChangeId)