Returning count using multiple subqueries - sql

Forgive my ignorance, but sql-server is not my strong suit. I'm trying to retrieve the count of rows from two mapping tables using subqueries (correlated subqueries?). If I remove one subquery, things work fine, but if I include both subqueries, I'm not getting the expected number of rows back.
SELECT
a.id,
a.name,
al_1.locationid as LocationCount,
af_1.FuncAreaId as FuncAreaCount
FROM
application as a inner join
applicationlocation as al_1 on a.id = al_1.appid inner join
applicationfuncarea as af_1 on a.id = af_1.AppId
WHERE
al_1.locationid in
(
SELECT count(locationid)
FROM applicationlocation as al_2
WHERE al_2.appid = al_1.appid
)
AND
af_1.funcareaid in
(
SELECT count(funcareaid)
FROM applicationfuncarea as af_2
WHERE af_2.appid = af_1.appid
)

If I'm not mistaken about what you want to achieve here, then this can be achieved by using grouping with COUNT and DISTINCT operators:
SELECT
a.id,
a.name,
COUNT(DISTINCT al_1.locationid) as LocationCount,
COUNT(DISTINCT af_1.FuncAreaId) as FuncAreaCount
FROM
application as a inner join
applicationlocation as al_1 on a.id = al_1.appid inner join
applicationfuncarea as af_1 on a.id = af_1.AppId
GROUP BY a.id, a.name
It is hard to tell if result is correct without seeing your data and expected result. If the above does not work, try removing DISTINCT operators and see if you get the results that you need.

Related

Sum fields of an Inner join

How I can add two fields that belong to an inner join?
I have this code:
select
SUM(ACT.NumberOfPlants ) AS NumberOfPlants,
SUM(ACT.NumOfJornales) AS NumberOfJornals
FROM dbo.AGRMastPlanPerformance MPR (NOLOCK)
INNER JOIN GENRegion GR ON (GR.intGENRegionKey = MPR.intGENRegionLink )
INNER JOIN AGRDetPlanPerformance DPR (NOLOCK) ON
(DPR.intAGRMastPlanPerformanceLink =
MPR.intAGRMastPlanPerformanceKey)
INNER JOIN vwGENPredios P โ€‹โ€‹(NOLOCK) ON ( DPR.intGENPredioLink =
P.intGENPredioKey )
INNER JOIN AGRSubActivity SA (NOLOCK) ON (SA.intAGRSubActivityKey =
DPR.intAGRSubActivityLink)
LEFT JOIN (SELECT RA.intGENPredioLink, AR.intAGRActividadLink,
AR.intAGRSubActividadLink, SUM(AR.decNoPlantas) AS
intPlantasTrabajads, SUM(AR.decNoPersonas) AS NumOfJornales,
SUM(AR.decNoPlants) AS NumberOfPlants
FROM AGRRecordActivity RA WITH (NOLOCK)
INNER JOIN AGRActividadRealizada AR WITH (NOLOCK) ON
(AR.intAGRRegistroActividadLink = RA.intAGRRegistroActividadKey AND
AR.bitActivo = 1)
INNER JOIN AGRSubActividad SA (NOLOCK) ON (SA.intAGRSubActividadKey
= AR.intAGRSubActividadLink AND SA.bitEnabled = 1)
WHERE RA.bitActive = 1 AND
AR.bitActive = 1 AND
RA.intAGRTractorsCrewsLink IN(2)
GROUP BY RA.intGENPredioLink,
AR.decNoPersons,
AR.decNoPlants,
AR.intAGRAActivityLink,
AR.intAGRSubActividadLink) ACT ON (ACT.intGENPredioLink IN(
DPR.intGENPredioLink) AND
ACT.intAGRAActivityLink IN( DPR.intAGRAActivityLink) AND
ACT.intAGRSubActivityLink IN( DPR.intAGRSubActivityLink))
WHERE
MPR.intAGRMastPlanPerformanceKey IN(4) AND
DPR.intAGRSubActivityLink IN( 1153)
GROUP BY
P.vchRegion,
ACT.NumberOfFloors,
ACT.NumOfJournals
ORDER BY ACT.NumberOfFloors DESC
However, it does not perform the complete sum. It only retrieves all the values โ€‹โ€‹of the columns and adds them 1 by 1, instead of doing the complete sum of the whole column.
For example, the query returns these results:
What I expect is the final sums. In NumberOfPlants the result of the sum would be 163,237 and of NumberJornales would be 61.
How can I do this?
First of all the (nolock) hints are probably not accomplishing the benefit you hope for. It's not an automatic "go faster" option, and if such an option existed you can be sure it would be already enabled. It can help in some situations, but the way it works allows the possibility of reading stale data, and the situations where it's likely to make any improvement are the same situations where risk for stale data is the highest.
That out of the way, with that much code in the question we're better served with a general explanation and solution for you to adapt.
The issue here is GROUP BY. When you use a GROUP BY in SQL, you're telling the database you want to see separate results per group for any aggregate functions like SUM() (and COUNT(), AVG(), MAX(), etc).
So if you have this:
SELECT Sum(ColumnB) As SumB
FROM [Table]
GROUP BY ColumnA
You will get a separate row per ColumnA group, even though it's not in the SELECT list.
If you don't really care about that, you can do one of two things:
Remove the GROUP BY If there are no grouped columns in the SELECT list, the GROUP BY clause is probably not accomplishing anything important.
Nest the query
If option 1 is somehow not possible (say, the original is actually a view) you could do this:
SELECT SUM(SumB)
FROM (
SELECT Sum(ColumnB) As SumB
FROM [Table]
GROUP BY ColumnA
) t
Note in both cases any JOIN is irrelevant to the issue.

Is there any alternative way for following query in oracle

select
a.id,
a.name,
b.group,
a.accountno,
(
select ci.cardno
from taccount ac, tcardinfo ci
where ac.accountno = ci.accountno
) as card_no
from tstudent a, tgroup b
where a.id = b.id
And how to select more than one field from (select ci.cardno from taccount ac,tcardinfo ci where ac.accountno = ci.accountno) or any others way
Please note that the is not a relation in two queries (main and subquery). Sub-query value depends on the data of the main query. Main query is set of data by joining multiple table and sub-query is also a set of data by joining multiple table
In essence, you are describing a lateral join. This is available in oracle since version 12.
Your query is rather unclear about from which table each column comes from (I made assumptions, that you might need to review), and you seem to be missing a join condition in the subquery (I added question marks in that spot)... But the idea is:
select
s.id,
s.name,
g.group,
s.accountno,
x.*
from tstudent s
inner join tgroup g on g.id = s.id
outer apply (
select ci.cardno
from taccount ac
inner join tcardinfo ci on ????
where ac.accountno = s.accountno
) x
You can then return more columns to the subquery, and then will show up in the resultset.

SUM a column count from two tables

I have this simple unioned query in SQL Server 2014 where I am getting counts of rows from each table, and then trying to add a TOTAL row at the bottom that will SUM the counts from both tables. I believe the problem is the LEFT OUTER JOIN on the last union seems to be only summing the totals from the first table
SELECT A.TEST_CODE, B.DIVISION, COUNT(*)
FROM ALL_USERS B, SIGMA_TEST A
WHERE B.DOMID = A.DOMID
GROUP BY A.TEST_CODE, B.DIVISION
UNION
SELECT E.TEST_CODE, F.DIVISION, COUNT(*)
FROM BETA_TEST E, ALL_USERS F
WHERE E.DOMID = F.DOMID
GROUP BY E.TEST_CODE, F.DIVISION
UNION
SELECT 'TOTAL', '', COUNT(*)
FROM (SIGMA_TEST A LEFT OUTER JOIN BETA_TEST E ON A.DOMID
= E.DOMID )
Here is a sample of the results I am getting:
I would expect the TOTAL row to display a result of 6 (2+1+3=6)
I would like to avoid using a Common Table Expression (CTE) if possible. Thanks in advance!
Since you are counting users with matching DOMIDs in the first two statements, the final statement also needs to include the ALL_USERS table. The final statement should be:
SELECT 'TOTAL', '', COUNT(*)
FROM ALL_USERS G LEFT OUTER JOIN
SIGMA_TEST H ON G.DOMID = H.DOMID
LEFT OUTER JOIN BETA_TEST I ON I.DOMID = G.DOMID
WHERE (H.TEST_CODE IS NOT NULL OR I.TEST_CODE IS NOT NULL)
I would consider doing a UNION ALL first then COUNT:
SELECT COALESCE(TEST_CODE, 'TOTAL'),
DIVISION,
COUNT(*)
FROM (
SELECT A.TEST_CODE, B.DIVISION
FROM ALL_USERS B
INNER JOIN SIGMA_TEST A ON B.DOMID = A.DOMID
UNION ALL
SELECT E.TEST_CODE, F.DIVISION
FROM BETA_TEST E
INNER JOIN ALL_USERS F ON E.DOMID = F.DOMID ) AS T
GROUP BY GROUPING SETS ((TEST_CODE, DIVISION ), ())
Using GROUPING SETS you can easily get the total, so there is no need to add a third subquery.
Note: I assume you want just one count per (TEST_CODE, DIVISION). Otherwise you have to also group on the source table as well, as in #Gareth's answer.
I think you can achieve this with a single query. It seems your test tables have similar structures, so you can union them together and join to ALL_USERS, finally, you can use GROUPING SETS to get the total
SELECT ISNULL(T.TEST_CODE, 'TOTAL') AS TEST_CODE,
ISNULL(U.DIVISION, '') AS DIVISION,
COUNT(*)
FROM ALL_USERS AS U
INNER JOIN
( SELECT DOMID, TEST_CODE, 'SIGNMA' AS SOURCETABLE
FROM SIGMA_TEST
UNION ALL
SELECT DOMID, TEST_CODE, 'BETA' AS SOURCETABLE
FROM BETA_TEST
) AS T
ON T.DOMID = U.DOMID
GROUP BY GROUPING SETS ((T.TEST_CODE, U.DIVISION, T.SOURCETABLE), ());
As an aside, the implicit join syntax you are using was replaced over a quarter of a century ago in ANSI 92. It is not wrong, but there seems to be little reason to continue to use it, especially when you are mixing and matching with explicit outer joins and implicit inner joins. Anyone else that might read your SQL will certainly appreciate consistency.

Unable to Group on MSAccess SQL multiple search query

please can you help me before I go out of my mind. I've spent a while on this now and resorted to asking you helpful wonderful people. I have a search query:
SELECT Groups.GroupID,
Groups.GroupName,
( SELECT Sum(SiteRates.SiteMonthlySalesValue)
FROM SiteRates
WHERE InvoiceSites.SiteID = SiteRates.SiteID
) AS SumOfSiteRates,
( SELECT Count(InvoiceSites.SiteID)
FROM InvoiceSites
WHERE SiteRates.SiteID = InvoiceSites.SiteID
) AS CountOfSites
FROM (InvoiceSites
INNER JOIN (Groups
INNER JOIN SitesAndGroups
ON Groups.GroupID = SitesAndGroups.GroupID
) ON InvoiceSites.SiteID = SitesAndGroups.SiteID)
INNER JOIN SiteRates
ON InvoiceSites.SiteID = SiteRates.SiteID
GROUP BY Groups.GroupID
With the following table relationship
http://m-ls.co.uk/ExtFiles/SQL-Relationship.jpg
Without the GROUP BY entry I can get a list of the entries I want but it drills the results down by SiteID where instead I want to GROUP BY the GroupID. I know this is possible but lack the expertise to complete this.
Any help would be massively appreciated.
I think all you need to do is add groups.Name to the GROUP BY clause, however I would adopt for a slightly different approach and try to avoid the subqueries if possible. Since you have already joined to all the required tables you can just use normal aggregate functions:
SELECT Groups.GroupID,
Groups.GroupName,
SUM(SiteRates.SiteMonthlySalesValue) AS SumOfSiteRates,
COUNT(InvoiceSites.SiteID) AS CountOfSites
FROM (InvoiceSites
INNER JOIN (Groups
INNER JOIN SitesAndGroups
ON Groups.GroupID = SitesAndGroups.GroupID
) ON InvoiceSites.SiteID = SitesAndGroups.SiteID)
INNER JOIN SiteRates
ON InvoiceSites.SiteID = SiteRates.SiteID
GROUP BY Groups.GroupID, Groups.GroupName;
I think what you are looking for is something like the following:
SELECT Groups.GroupID, Groups.GroupName, SumResults.SiteID, SumResults.SumOfSiteRates, SumResults.CountOfSites
FROM Groups INNER JOIN
(
SELECT SitesAndGroups.SiteID, Sum(SiteRates.SiteMonthlySalesValue) AS SumOfSiteRates, Count(InvoiceSites.SiteID) AS CountOfSites
FROM SitesAndGroups INNER JOIN (InvoiceSites INNER JOIN SiteRates ON InvoiceSites.SiteID = SiteRates.SiteID) ON SitesAndGroups.SiteID = InvoiceSites.SiteID
GROUP BY SitesAndGroups.SiteID
) AS SumResults ON Groups.SiteID = SumResults.SiteID
This query will group your information based on the SiteID like you want. That query is referenced in the from statement linking to the Groups table to pull the group information that you want.

Complex join with nested group-by/having clause?

I ultimately need a list of "import" records that include "album"
records which only have one "song" each.
This is what I'm using now:
select i.id, i.created_at
from imports i
where i.id in (
select a.import_id
from albums a inner join songs s on a.id = s.album_id
group by a.id having 1 = count(s.id)
);
The nested select (with the join) is blazing fast, but the external
"in" clause is excruciatingly slow.
I tried to make the entire query a single (no nesting) join but ran
into problems with the group/having clauses. The best I could do was
a list of "import" records with dupes, which is not acceptable.
Is there a more elegant way to compose this query?
How's this?
SELECT i.id,
i.created_at
FROM imports i
INNER JOIN (SELECT a.import_id
FROM albums a
INNER JOIN songs s
ON a.id = s.album_id
GROUP BY a.id
HAVING Count(* ) = 1) AS TEMP
ON i.id = TEMP.import_id;
In most database systems, the JOIN works a lost faster than doing a WHERE ... IN.
SELECT i.id, i.created_at, COUNT(s.album_id)
FROM imports AS i
INNER JOIN albums AS a
ON i.id = a.import_id
INNER JOIN songs AS s
ON a.id = s.album_id
GROUP BY i.id, i.created_at
HAVING COUNT(s.album_id) = 1
(You might not need to include the COUNT in the SELECT list itself. SQL Server doesn't require it, but it's possible that a different RDBMS might.)
Untested:
select
i.id, i.created_at
from
imports i
where
exists (select *
from
albums a
join
songs s on a.id = s.album_id
where
a.import_id = i.id
group by
a.id
having
count(*) = 1)
OR
select
i.id, i.created_at
from
imports i
where
exists (select *
from
albums a
join
songs s on a.id = s.album_id
group by
a.import_id, a.id
having
count(*) = 1 AND a.import_id = i.id)
All three sugested techniques should be faster than your WHERE IN:
Exists with a related subquery (gbn)
Subquery that is inner joined (achinda99)
Inner Joining all three tables (luke)
(All should work, too ..., so +1 for all of them. Please let us know if one of them does not work!)
Which one actually turns out to be the fastest, depends on your data and the execution plan. But an interesting example of different ways for expressing the same thing in SQL.
I tried to make the entire query a
single (no nesting) join but ran into
problems with the group/having
clauses.
You can join subquery using CTE (Common Table Expression) if you are using SQL Server version 2005/2008
As far as I know, CTE is simply an expression that works like a virtual view that works only one a single select statement - So you will be able to do the following.
I usually find using CTE to improve query performance as well.
with AlbumSongs as (
select a.import_id
from albums a inner join songs s on a.id = s.album_id
group by a.id
having 1 = count(s.id)
)
select i.id, i.created_at
from imports i
inner join AlbumSongs A on A.import_id = i.import_id