I am trying to display the results of many count functions distinguished by different where criteria side by side.
select *
from
(SELECT a.location, count(b.description)
from locations.a left join status b on a.zone =b.zone
where b.date_issued = #1/3/2012#
group by a.location) X
inner join
(SELECT a.location, count(b.description)
from locations.a left join status b on a.zone =b.zone
where b.date_issued = #1/2/2012#
group by a.location) Y
on X.zone = Y.zone;
i cannot refer to X and Y in the main select as MS access keeps asking me for a parameter value and if i use Select * i get error in the the from cluase
please help
You want to use conditional aggregation. From the use of # for the date constant, I am guessing that you are using Access:
SELECT a.location,
sum(iif(b.date_issued = #1/3/2012#, 1, 0) as val_20130103,
sum(iif(b.date_issued = #1/2/2012#, 1, 0) as val_20130102
from locations.a left join
status b
on a.zone =b.zone
group by a.location;
The generic SQL would use case:
SELECT a.location,
sum(case when b.date_issued = #1/3/2012# then 1 else 0 end) as val_20130103,
sum(case when b.date_issued = #1/2/2012# then 1 else 0 end) as val_20130102
from locations.a left join
status b
on a.zone =b.zone
group by a.location
Try this?
select *
from
(SELECT a.location, count(b.description) as Count, a.Zone
from locations a
left join status b on a.zone =b.zone
where b.date_issued = #1/3/2012#
group by a.location) X
inner join
(SELECT a.location, count(b.description) as Count, a.Zone
from locations a
left join status b on a.zone =b.zone
where b.date_issued = #1/2/2012#
group by a.location) Y
on X.zone = Y.zone;
Related
It works well so far but I am stumped from here as I am brand new to this. This query finds the closest distance match, pairing up every item in the "FAILED" folder against everything that isn't in the "FAILED" folder.
There is a column "RouteID" in the "table p" that I want to match up with the min() aggregate.
I cannot process how to make the SELECT query simply show the associated "RouteID" column from tbl p but ultimately, I want to turn this into an update query that will SET a.Route = p.Route that is associated with the min()
Any help would be appreciated.
SELECT a.name, a.Reference1,
MIN(round(ACOS(COS(RADIANS(90-a.lat))
*COS(RADIANS(90-p.latpoint))
+SIN(RADIANS(90-a.lat))
*SIN(RADIANS(90-p.latpoint))
*COS(RADIANS(a.lon-p.longpoint)))
*3958.756,2)) AS 'DISTANCE'
FROM tblOrder AS a WITH (NOLOCK)
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrder b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS p ON 1=1
WHERE a.CustID = 180016
AND a.RouteID = 'FAILED'
AND a.StopType = 1
AND P.RouteID <> 'FAILED'
GROUP BY
a.name, a.Reference1
You can select them separately and then join them
SELECT c.name, c.Reference1, q.RouteID
FROM
(
SELECT a.name, a.Reference1,
MIN(round(ACOS(COS(RADIANS(90-a.lat))
*COS(RADIANS(90-p.latpoint))
+SIN(RADIANS(90-a.lat))
*SIN(RADIANS(90-p.latpoint))
*COS(RADIANS(a.lon-p.longpoint)))
*3958.756,2)) AS 'DISTANCE'
FROM tblOrder AS a WITH (NOLOCK)
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrder b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS p ON 1=1
WHERE a.CustID = 180016
AND a.RouteID = 'FAILED'
AND a.StopType = 1
AND P.RouteID <> 'FAILED'
GROUP BY
a.name, a.Reference1
) c
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrderRouteStops b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS q
ON q.routeID = c.DISTANCE
I want to make a query where an attribute (same attribute) matches two different conditions at the same time. I have to check if a driver was found in both cities.
I tried to use intersect but I don't get any matches. But in my table I have one driver that matches this conditions.
SELECT s.NumeSofer
FROM Soferi s
INNER JOIN contraventii c ON s.idSofer=c.idSofer
INNER JOIN localitati l ON c.idLocContr=l.idLoc
WHERE l.DenLoc IN ('Iasi', 'Rosiori') AND l.Jud IN ('IS', 'NT');
INTERSECT
SELECT s.NumeSofer
FROM Soferi s
INNER JOIN contraventii c ON s.idSofer=c.idSofer
INNER JOIN localitati l ON c.idLocContr=l.idLoc
WHERE l.DenLoc='Rosiori' AND l.Jud='NT';
You can use aggregation and a HAVING clause, like:
SELECT s.NumeSofer
FROM Soferi s
INNER JOIN contraventii c ON s.idSofer=c.idSofer
INNER JOIN localitati l
ON c.idLocContr = l.idLoc
AND (l.DenLoc, l.Jud) IN ( ('Iasi', 'IS'), ('Rosiori', 'NT') )
GROUP BY s.NumeSofer
HAVING
MAX(CASE WHEN l.DenLoc = 'Iasi' AND l.Jud = 'IS' THEN 1 END) = 1
AND MAX(CASE WHEN l.DenLoc = 'Rosiori' AND l.Jud = 'NT' THEN 1 END) = 1
This will bring you all NumeSofer for which at least one record exists in localitati with DenLoc='Iasi' AND Jud='IS' and at least one record exists with DenLoc='Rosiori' AND Jud='NT'.
Note: the IN operator can be used with tuple values; this reduce the lenght of the query, while avoiding using OR, which is usually not good for general performance.
Do a GROUP BY instead. Use case expressions to do conditional aggregation:
SELECT s.NumeSofer, count(distinct l.DenLoc) as totcount,
count(case when l.DenLoc='Rosiori' then 1 end) as Rosioricount,
count(case when l.DenLoc='Iasi' then 1 end) as Iasicount
FROM Soferi s
INNER JOIN contraventii c ON s.idSofer=c.idSofer
INNER JOIN localitati l ON c.idLocContr=l.idLoc
WHERE (l.DenLoc='Rosiori' AND l.Jud='NT')
OR (l.DenLoc='Iasi' AND l.Jud='IS')
GROUP BY s.NumeSofer
ORDER BY totcount desc
Any rows with totcount = 2?
To get only drivers with both DenLoc's add a HAVING clause:
SELECT s.NumeSofer, count(distinct l.DenLoc) as totcount,
count(case when l.DenLoc='Rosiori' then 1 end) as Rosioricount,
count(case when l.DenLoc='Iasi' then 1 end) as Iasicount
FROM Soferi s
INNER JOIN contraventii c ON s.idSofer=c.idSofer
INNER JOIN localitati l ON c.idLocContr=l.idLoc
WHERE (l.DenLoc='Rosiori' AND l.Jud='NT')
OR (l.DenLoc='Iasi' AND l.Jud='IS')
GROUP BY s.NumeSofer
HAVING count(distinct l.DenLoc) > 1
SELECT
p.Name,
p.Age,
MAX(COUNT(m.winTeam_ID) / (COUNT(m.winTeam_ID) + COUNT(m.lossTeam_ID)))
FROM Players AS p
INNER JOIN Teams AS t
ON t.ID = p.Team_ID
INNER JOIN Matches AS m
ON m.Team_ID = t.ID
GROUP BY
p.Name,
p.Age;
I can suggest the following query:
SELECT TOP 1
p.Name,
p.Age,
COUNT(m.winTeam_ID) / (COUNT(m.winTeam_ID) + COUNT(m.lossTeam_ID))
FROM (Players AS p
INNER JOIN Teams AS t
ON t.ID = p.Team_ID)
INNER JOIN Matches AS m
ON m.Team_ID = t.ID
GROUP BY
p.Name,
p.Age
ORDER BY
COUNT(m.winTeam_ID) / (COUNT(m.winTeam_ID) + COUNT(m.lossTeam_ID)) DESC;
This fixes the syntax problem with your joins. It also interprets the MAX as meaning that you want the record with the maximum ratio of counts. In this case, we can use TOP 1 along with ORDER BY to identify this max record.
MS Access requires strange parentheses when you have more than one join. In addition, MAX(COUNT(m.winTeam_ID)) doesn't make sense. I don't know what you are trying to calculate in the SELECT. Perhaps this does what you want:
SELECT p.Name, p.Age,
COUNT(m.winTeam_ID) / (COUNT(m.winTeam_ID) + COUNT(m.lossTeam_ID)))
FROM (Players AS p INNER JOIN
Teams AS t
ON t.ID = p.Team_ID
) INNER JOIN
Matches AS m
ON m.Team_ID = t.ID
GROUP BY p.Name, p.Age;
I think your Matches table shouldn't have a Team_ID And instead you have winTeam_ID and lossTeam_ID!
And also you want to query players of a team with - something like - the best win-rate.
If so, Use a query like this - tested on SQL Server only -:
select
p.Age, p.Name, ts.rate
from
Players p
join
(select top(1) -- sub-query will return just first record
t.ID
, sum(case when (t.ID = winTeam_ID) then 1 else 0 end) as wins
, sum(case when (t.ID = lossTeam_ID) then 1 else 0 end) as losses
, sum(case when (t.ID = winTeam_ID) then 1.0 else 0.0 end) /
(sum(case when (t.ID = winTeam_ID) then 1.0 else 0.0 end) + sum(case when (t.ID = lossTeam_ID) then 1.0 else 0.0 end)) as rate
from Teams as t
left join Matches as m
on t.ID = m.winTeam_ID
or t.ID = lossTeam_ID
group by t.ID
order by rate desc -- This will make max rate as first
) as ts -- Team stats calculated in this sub-query
on p.Team_ID = ts.ID;
I Have a table which holds date but I need to know the latest date where a condition is true per location, only issue is once I add a column called 'notes' it breaks the query and returns too many rows, current query is ...
SELECT
Location,
MAX(date) AS date,
type,
notes
FROM NotesTable a
INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY Location, type, notes
If I comment out the notes column then it works fine but as soon as I add that to the grouping it then returns more rows than required.
Have tried using a subquery but still cant get it working, subquery below
SELECT
r.location,
r.date,
r.type,
t.notes
FROM (SELECT Location, MAX(date), type
FROM NotesTable a INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY location,type
) r
INNER JOIN NotesTable t ON t.date = r.date
Anyone got any other suggestions?
select * from
(
SELECT Location,Date, Type, Notes, Row_Number() Over (Partition By Location, Type order by date desc) RN
FROM
NotesTable a
INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
) v
WHERE rn = 1
Your query is almost correct, you need to add this additional condition in ON clause
AND
t.location = r.location AND
t.type = r.type
full query,
SELECT r.location
, r.DATE
, r.type
, t.notes
FROM (
SELECT Location
, MAX(DATE) maxDate
, type
FROM NotesTable a
INNER JOIN Location b
ON a.LocationID = b.LocationID
INNER JOIN Type c
ON a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY location
, type
) r
INNER JOIN NotesTable t
ON t.DATE = r.maxDate AND
t.location = r.location AND
t.type = r.type
A logistic regression is a composed of a uniquely identifying number, followed by multiple binary variables (always 1 or 0) based on whether or not a person meets certain criteria. Below I have a query that lists several of these binary conditions. With only four such criteria the query takes a little longer to run than what I would think. Is there a more efficient approach than below? Note. tblicd is a large table lookup table with text representations of 15k+ rows. The query makes no real sense, just a proof of concept. I have the proper indexes on my composite keys.
select patient.patientid
,case when exists
(
select c.patientid from tblclaims as c
inner join patient as p on p.patientid=c.patientid
and c.admissiondate = p.admissiondate
and c.dischargedate = p.dischargedate
where patient.patientid = p.patientid
group by c.patientid
having count(*) > 1000
)
then '1' else '0'
end as moreThan1000
,case when exists
(
select c.patientid from tblclaims as c
inner join patient as p on p.patientid=c.patientid
and c.admissiondate = p.admissiondate
and c.dischargedate = p.dischargedate
where patient.patientid = p.patientid
group by c.patientid
having count(*) > 1500
)
then '1' else '0'
end as moreThan1500
,case when exists
(
select distinct picd.patientid from patienticd as picd
inner join patient as p on p.patientid= picd.patientid
and picd.admissiondate = p.admissiondate
and picd.dischargedate = p.dischargedate
inner join tblicd as t on t.icd_id = picd.icd_id
where t.descrip like '%diabetes%' and patient.patientid = picd.patientid
)
then '1' else '0'
end as diabetes
,case when exists
(
select r.patientid, count(*) from patient as r
where r.patientid = patient.patientid
group by r.patientid
having count(*) >1
)
then '1' else '0'
end
from patient
order by moreThan1000 desc
I would start by using subqueries in the from clause:
select q.patientid, moreThan1000, moreThan1500,
(case when d.patientid is not null then 1 else 0 end),
(case when pc.patientid is not null then 1 else 0 end)
from patient p left outer join
(select c.patientid,
(case when count(*) > 1000 then 1 else 0 end) as moreThan1000,
(case when count(*) > 1500 then 1 else 0 end) as moreThan1500
from tblclaims as c inner join
patient as p
on p.patientid=c.patientid and
c.admissiondate = p.admissiondate and
c.dischargedate = p.dischargedate
group by c.patientid
) q
on p.patientid = q.patientid left outer join
(select distinct picd.patientid
from patienticd as picd inner join
patient as p
on p.patientid= picd.patientid and
picd.admissiondate = p.admissiondate and
picd.dischargedate = p.dischargedate inner join
tblicd as t
on t.icd_id = picd.icd_id
where t.descrip like '%diabetes%'
) d
on p.patientid = d.patientid left outer join
(select r.patientid, count(*) as cnt
from patient as r
group by r.patientid
having count(*) >1
) pc
on p.patientid = pc.patientid
order by 2 desc
You can then probably simplify these subqueries more by combining them (for instance "p" and "pc" on the outer query can be combined into one). However, without the correlated subqueries, SQL Server should find it easier to optimize the queries.
Example of left joins as requested...
SELECT
patientid,
ISNULL(CondA.ConditionA,0) as IsConditionA,
ISNULL(CondB.ConditionB,0) as IsConditionB,
....
FROM
patient
LEFT JOIN
(SELECT DISTINCT patientid, 1 as ConditionA from ... where ... ) CondA
ON patient.patientid = CondA.patientID
LEFT JOIN
(SELECT DISTINCT patientid, 1 as ConditionB from ... where ... ) CondB
ON patient.patientid = CondB.patientID
If your Condition queries only return a maximum one row, you can simplify them down to
(SELECT patientid, 1 as ConditionA from ... where ... ) CondA