I have to join two different table to get my result.
The table 'Resource' it is simple, while the table 'Dimension.[Code]' contains, among the others, a column with different values (i.e :
Code
SILO
GRADE
OTHER 1
OTHER2
This is the reason why a join twice that column to get two different columns called GRADE and SILO.
Now, I have a query that selects the maximum value of a grade within the group as follows:
`SELECT
R.[ID] -- If I inserted that here, it is not working obviously.
-- This cannot But this is the additional column I need (see later)
DD_SILO.[Value] DIR ,
max(R.[GRADE]) GRADE_DIR
FROM [Resource] R
LEFT JOIN
Dimension DD_SILO ON R.[ID] = DD_SILO.[ID] AND DD_SILO.[Code] = 'SILO'
group by DD_SILO.[Value]'
What I need is basically to have, beside GRADE AND SILO, also the ID name, which is contained into the [Resource] table.
Please notice that [Resource].ID = [Dimension].ID
I would have solved the problem with ROW_NUMBER () to select the highest within the group, avoiding then then 'group by', but as the query has to be inserted in a bigger one, that would take too much time to run. I am using Microsoft SQL Server 2016.
Could you use a virtual table something like: -
`
select
a.max_grade_silo,
a.max_grade_value,
(select max(r.id)
from [resource] r,
[dimension] d
where r.[ID] = d.[ID] and
d.[CODE]= 'SILO' and
r.[GRADE] = a.[max_grade_value]
),
max_grade_silo a
from
(SELECT
DD_SILO.[Value] DIR ,
max(R.[GRADE]) GRADE_DIR
FROM [Resource] R
LEFT JOIN
Dimension DD_SILO ON R.[ID] = DD_SILO.[ID] AND DD_SILO.[Code] = 'SILO'
group by DD_SILO.[Value]
) temp_result (max_grade_silo, max_grade_value)
'
Probably better to look at normalizing the tables?
SELECT
MAX(R.[ID]) as ID ,
DD_SILO.[Value] DIR ,
max(R.[GRADE]) GRADE_DIR
FROM [Resource] R
LEFT JOIN
Dimension DD_SILO ON R.[ID] = DD_SILO.[ID] AND DD_SILO.[Code] = 'SILO'
group by DD_SILO.[Value]
Related
I'm looking to create a table (shown below) more in the form of a matrix, where the column titles are variables.
#ACTable AS ACT
#WCTable AS WCT
The temp table, derived from #ProductionTable AS PT
The output I'm looking for looks like this. Essentially I want the ACT.AC running as column titles, the WCT.WC running down, and counting how many were ActFin on Nov 6th. The colour shows the matching associations. I'll coalesce the rest after, not too concerned about NULLs or 0s.
The query so far (it fails at the FOR statement)
SELECT * FROM
(
SELECT
PT.ParentPart,
ACT.AC,
WCT.WC,
PT.ActFin
FROM #ProductionTable AS PT
INNER JOIN #WCTable AS WCT ON WCT.WC = PT.WC
INNER JOIN #ACTable AS ACT ON PT.AC = ACT.AC
) t
PIVOT(
COUNT(CASE
WHEN
PT.ActFin > '2019-11-06' --count
THEN
1
END)
FOR ACT.AC IN ( --this is where things fall apart
'54',
'53',
'52')
)
Is this possible?
The columns in the FOR clause need to be wrapped in []:
SELECT * FROM
(
SELECT
PT.ParentPart,
ACT.AC,
WCT.WC,
PT.ActFin
FROM #ProductionTable AS PT
INNER JOIN #WCTable AS WCT ON WCT.WC = PT.WC
INNER JOIN #ACTable AS ACT ON PT.AC = ACT.AC
) t
PIVOT(
COUNT(CASE
WHEN
PT.ActFin > '2019-11-06' --count
THEN
1
END)
FOR ACT.AC IN ( --this is where things fall apart
[54],
[53],
[52])
)
I dont't get it. I changed some of the code. In the WPLEVENT Table are a lot of Events per person. In the Persab-Table are the Persons with their History. Now I need the from the Persab Table just that row wich matches the persab.gltab Date nearest to the WPLEVENT.vdat Date. So all rows from the WPLEVENT, but just the one matching row from the PERSAB-Table.
SELECT
persab.name,
persab.vorname,
vdat,
eventstart,
persab.rc1,
persab.rc2
FROM wplevent
INNER JOIN
persab ON WPLEVENT.PersID = persab.PRIMKEY
INNER JOIN
(SELECT TOP 1 persab.rc1
FROM PERSAB
WHERE persab.gltab <= getdate() --/ Should be wplevent.vdat instead of getdate()
) NewTable ON wplevent.persid = persab.primkey
WHERE
persid ='100458'
ORDER BY vdat DESC
Need to use the MAX() function with the proper syntax by supplying an expression like MAX(persab.rc1). Also need to use GROUP BY for the second column rc2 in the subquery (although it looks like you do not need it). Finally you are missing the ON clause for the final INNER JOIN. I can update the answer to fix the query if you provide that information.
SELECT
Z1PERS.NAME
, Z1PERS.VORNAME
, WPLEVENT.VDat
, WPLEVENT.EventStart
, WPLEVENT.EventStop
, WPLEVENT.PEPGROUP
, Z1SGRP.TXXT
, PERSAB.GLTAB
, Z1PERS.PRIMKEY AS Expr1
, PERSAB.PRIMKEY
FROM
Z1PERS
INNER JOIN
WPLEVENT ON Z1PERS.PRIMKEY = WPLEVENT.PersID
INNER JOIN
Z1SGRP ON WPLEVENT.PEPGROUP = Z1SGRP.GRUPPE
INNER JOIN
(
SELECT MAX(Persab.rc1) --Fixed MAX expression
, persab.rc2
FROM
persab
GROUP BY
persab.rc2 --Need to group on rc2 if you want that column in the query otherwise remove this AND the rc2 column from select list
WHERE
WPLEVENT.PersID = PERSAB.PRIMKEY
AND WPLEVENT.VDat <= PERSAB.GLTAB
) --Missing ON clause for the INNER JOIN here
WHERE z1pers.vorname = 'henning'
I have a SQL Server 2005 query that I'm trying to assemble right now but I am having some difficulties.
I have a group by clause based on 5 columns: Project, Area, Name, User, Engineer.
Engineer is coming from another table and is a one to many relationship
WITH TempCTE
AS (
SELECT htce.HardwareProjectID AS ProjectId
,area.AreaId AS Area
,hs.NAME AS 'Status'
,COUNT(*) AS Amount
,MAX(htce.DateEdited) AS DateModified
,UserEditing AS LastModifiedName
,Engineer
,ROW_NUMBER() OVER (
PARTITION BY htce.HardwareProjectID
,area.AreaId
,hs.NAME
,htce.UserEditing ORDER BY htce.HardwareProjectID
,Engineer DESC
) AS row
FROM HardwareTestCase_Execution AS htce
INNER JOIN HardwareTestCase AS htc ON htce.HardwareTestCaseID = htc.HardwareTestCaseID
INNER JOIN HardwareTestGroup AS htg ON htc.HardwareTestGroupID = htg.HardwareTestGroupId
INNER JOIN Block AS b ON b.BlockId = htg.BlockId
INNER JOIN Area ON b.AreaId = Area.AreaId
INNER JOIN HardwareStatus AS hs ON htce.HardwareStatusID = hs.HardwareStatusId
INNER JOIN j_Project_Testcase AS jptc ON htce.HardwareProjectID = jptc.HardwareProjectId AND htce.HardwareTestCaseID = jptc.TestcaseId
WHERE (htce.DateEdited > #LastDateModified)
GROUP BY htce.HardwareProjectID
,area.AreaId
,hs.NAME
,htce.UserEditing
,jptc.Engineer
)
The gist of what I want is to be able to deal with empty Engineer columns. I don't want this column to have a blank second entry (where row=2).
What I want to do:
Group the items with "row" value of 1 & 2 together.
Select the Engineer that isn't empty.
Do not deselect engineers where there is not a matching row=2.
I've tried a series of joins to try and make things work. No luck so far.
Use j_Project_Testcase PIVOT( MAX(Engineer) for Row in ( [1], [2] ) then select ISNULL( [1],[2]) to select the Engineer value
I can give you a more robust example if you set up a SQL fiddle
Try reading this: PIVOT and UNPIVOT
I am using SQL Server 2008 R2 and SSRS 2008 to generate the report. I am trying to update a table to get a count of the results from another table.
UPDATE r
SET r.Race = d2.Race,
r.RaceNum = d2.count
FROM #results r
INNER JOIN
(SELECT d.Race,
COUNT(d.race) AS 'count'
FROM #Demographic d
GROUP BY d.Race)d2 ON r.Race = d2.Race
An insert works perfectly but I am inserting several times into the results table to create a demographics report. This is creating a lot Null data at the table of the results. If anyone has an idea of what I am going wrong the help would be appreciated.
Not certain, but first guess is that count is a reserved word... change it to something else such as...
update r
set r.Race = d2.Race, r.RaceNum = d2.cnt
from #results r
inner join
(select d.Race, COUNT(d.race) as 'cnt' from #Demographic d group by d.Race)d2
on r.Race = d2.Race
or alternatively try delimiting the column identifier as [count] or if you have quoted identifiers on "count"
Your query is:
update r
set r.Race = d2.Race, /*<---------*/
r.RaceNum = d2.count
from #results r inner join
(select d.Race, COUNT(d.race) as 'count'
from #Demographic d
group by d.Race
) d2
on r.Race = d2.Race /*<-------- */
The two marked lines stand out. You are joining on values using =, then you are setting one equal to the other. This may not be the problem, but it is suspicious. If you are joining on them, why are you setting them equal? My suspicion is that the join is failing, because nothing matches it.
You don't need to update the race column, since that's the equality portion of your join.
As written, any race not in #demographic would have its racenum set to null. If you want 0 for those try:
UDPATE
r
SET
r.RaceNum = ISNULL(d2.ct, 0)
FROM #results r
LEFT JOIN
(
SELECT
d.Race
, COUNT(d.race) as ct
FROM
#Demographic d
GROUP BY
d.Race
) d2
ON
r.Race = d2.Race
excuse the title, i couldn't come up with something short and to the point...
I've got a table 'updates' with the three columns, text, typeid, created - text is a text field, typeid is a foreign key from a 'type' table and created is a timestamp. A user is entering an update and select the 'type' it corresponds too.
There's a corresponding 'type' table with columns 'id' and 'name'.
I'm trying to end up with a result set with as many rows as is in the 'type' table and the latest value from updates.text for the particular row in types. So if i've got 3 types, 3 rows would be returned, one row for each type and the most recent updates.text value for the type in question.
Any ideas?
thanks,
John.
select u.text, u.typeid, u.created, t.name
from (
select typeid, max(created) as MaxCreated
from updates
group by typeid
) mu
inner join updates u on mu.typeid = u.typeid and mu.MaxCreated = u.Created
left outer join type t on u.typeid = t.typeid
What are the actual columns you want returned?
SELECT t.*,
y.*
FROM TYPE t
JOIN (SELECT u.typeid,
MAX(u.created) 'max_created'
FROM UPDATES u
GROUP BY u.typeid) x ON x.typeid = t.id
JOIN UPDATES y ON y.typeid = x.typeid
AND y.created = x.max_created
SELECT
TYP.id,
TYP.name,
TXT.comment
FROM
dbo.Types TYP
INNER JOIN dbo.Type_Comments TXT ON
TXT.type_id = TYP.id
WHERE
NOT EXISTS
(
SELECT
*
FROM
dbo.Type_Comments TXT2
WHERE
TXT2.type_id = TYP.id AND
TXT2.created > TXT.created
)
Or:
SELECT
TYP.id,
TYP.name,
TXT.comment
FROM
dbo.Types TYP
INNER JOIN dbo.Type_Comments TXT ON
TXT.type_id = TYP.id
LEFT OUTER JOIN dbo.Type_Comments TXT2 ON
TXT2.type_id = TYP.id AND
TXT2.created > TXT.created
WHERE
TXT2.type_id IS NULL
In either case, if the created date can be identical between two rows with the same type_id then you would need to account for that.
I've also assumed at least one comment per type exists. If that's not the case then you would need to make a minor adjustment for that as well.