I have some issues getting a full outer join to work in T-SQL. The left outer join part seems to be working okay, but the right outer join doesn't work as expected. Here's some sample data to test this on:
I have a table A with the following columns and data. The row marked with red is the row that cannot be found in table B.
And a second table B with the following columns and data. The rows marked with yellow are the rows that cannot be found in table A.
I am trying to join the tables using the following sql code:
select tableA.klientnr, tableA.uttakstype, tableA.uttaksnr, tableA.vareanr TableAItem,tableB.vareanr tableBitem, tableA.kvantum tableAquantity, tableB.totkvant tableBquantity
from tableA as tableA
full outer join tableB as tableB on tableA.klientnr=tableB.klientnr and tableA.uttakstype=tableB.uttakstype and tableA.uttaksnr=tableB.uttaksnr and tableA.vareanr=tableB.vareanr and tableB.IsDeleted=0
where tableA.UttaksNr=639779 and tableA.IsDeleted=0
The result of the sql is the following image. The row marked in red is the extra row from tableA that does show up, but I can't get the rows from table B to show up
Expected to have 2 extra rows
550 SA 639779 NULL 100059 NULL 0
550 SA 639779 NULL 103040 NULL 14
Later edit:
Would this be correct way to handle the full outer join where there's the header/line type of structure? Or can the query be optimized?
SELECT ISNULL(q1.accountid, q2.accountid) AccountId
,ISNULL(q1.klientnr, q2.klientnr) KlientNr
,ISNULL(q1.tilgangstype, q2.tilgangstype) 'Reception Type'
,ISNULL(q1.tilgangsnr, q2.tilgangsnr) 'Reception No'
,ISNULL(q1.dato, q2.dato) dato
,ISNULL(q1.LevNr, q2.LevNr) LevNr
,ISNULL(q1.Pakkemerke, q2.Pakkemerke) Pakkemerke
,ISNULL(q1.VareANr, q2.VareANr) VareANr
,ISNULL(q1.Ankomstdato,q2.Ankomstdato) 'Arrival Date'
,q1.Antall1
,q1.totkvant1
,q1.Antall2
,q1.totkvant2
,q2.Antall
,q2.totkvant
,q2.AntallTilFrys
,q2.TotKvantTilFrys
,ISNULL(q1.EksternKommentar1,q2.EksternKommentar1) EksternKommentar1
,q2.[Last Upsert]
FROM (
SELECT w700.accountid
,w700.klientnr
,w700.tilgangstype
,w700.tilgangsnr
,w700.dato
,w700.Ankomstdato
,w700.LevNr
,w700.pakkemerke
,w789.VareANr
,sum(IIF(w789.prognosetype = 1, w789.Antall, NULL)) AS Antall1
,sum(IIF(w789.prognosetype = 1, w789.totkvant, NULL)) AS totkvant1
,sum(IIF(w789.prognosetype = 2, w789.Antall, NULL)) AS Antall2
,sum(IIF(w789.prognosetype = 2, w789.totkvant, NULL)) AS totkvant2
,w700.EksternKommentar1
FROM trading.W789Prognosekjopstat AS w789
INNER JOIN trading.W700Tilgangshode AS w700 ON w700.AccountId = w789.AccountId
AND w700.KlientNr = w789.Klientnr
AND w700.Tilgangsnr = w789.Tilgangsnr
AND w700.Tilgangstype = w789.Tilgangstype
AND w700.IsDeleted = 0
WHERE w789.IsDeleted = 0
GROUP BY w700.accountid
,w700.klientnr
,w700.tilgangstype
,w700.tilgangsnr
,w700.dato
,w700.Ankomstdato
,w700.LevNr
,w700.pakkemerke
,w789.VareANr
,w700.EksternKommentar1
) q1
FULL OUTER JOIN (
SELECT w700.accountid
,w700.klientnr
,w700.tilgangstype
,w700.tilgangsnr
,w700.dato
,w700.Ankomstdato
,w700.LevNr
,w700.pakkemerke
,w702.VareANr
,w702.Antall
,w702.TotKvant
,w702.ValPris
,w702.AntallTilFrys
,w702.TotKvantTilFrys
,w700.EksternKommentar1
,(SELECT MAX(LastUpdateDate) FROM (VALUES (w702.createdAt),(w702.updatedAt)) AS UpdateDate(LastUpdateDate)) AS 'Last Upsert'
FROM trading.w702PrognoseKjop w702
INNER JOIN trading.W700Tilgangshode AS w700 ON w700.AccountId = w702.AccountId
AND w700.KlientNr = w702.Klientnr
AND w700.Tilgangsnr = w702.Tilgangsnr
AND w700.Tilgangstype = w702.Tilgangstype
AND w700.IsDeleted = 0
WHERE w702.IsDeleted = 0
) q2 ON q1.accountid = q2.accountid
AND q1.klientnr = q2.klientnr
AND q1.tilgangstype = q2.tilgangstype
AND q1.tilgangsnr = q2.tilgangsnr
AND q1.vareanr = q2.vareanr
WHERE totkvant1 IS NOT NULL
OR totkvant2 IS NOT NULL
OR totkvant IS NOT NULL
Filtering with full join is really tricky. Your where criteria are actually turning the full join into a left join.
You can do what you want by filtering before the join:
select a.klientnr, a.uttakstype, a.uttaksnr, a.vareanr a.tableAitem,
b.vareanr b.tableBitem, a.kvantum a.tableAquantity, b.totkvant b.tableBquantity
from (select a.*
from tableA a
where a.UttaksNr = 639779 and a.IsDeleted = 0
) a full join
(select b.*
from tableB b
where b.IsDeleted = 0
) b
on a.klientnr = b.klientnr and
a.uttakstype= b.uttakstype and
a.uttaksnr = b.uttaksnr and
a.vareanr = b.vareanr;
Related
based on my question above, below is the SQL
SELECT ets_tools.tools_id, ets_borrower.fullname, ets_team.team_name, ets_borrow.time_from,
ets_borrow.time_to, ets_borrow.borrow_id FROM ets_tools
INNER JOIN ets_tools_borrow ON ets_tools.tools_id = ets_tools_borrow.tools_id
INNER JOIN ets_borrow ON ets_borrow.borrow_id = ets_tools_borrow.borrow_id
INNER JOIN ets_borrower ON ets_borrower.badgeid = ets_borrow.badgeid
INNER JOIN ets_team ON ets_team.team_id = ets_borrower.team_id
WHERE ets_tools.borrow_id IS NOT NULL AND ets_borrow.status_id = 1 AND ets_borrow.time_to IS NULL
and the result display like this:
From the image above, we can see that the borrow_id with value 1 display two rows. Now, how to display only one borrow_id for value 1 since its duplicate the same things.
Anyone can help?
Assuming you want to retain the record having the smallest tools_id, you could aggregate by the other columns and take the MIN of tools_id:
SELECT
MIN(ets_tools.tools_id) AS tools_id,
ets_borrower.fullname,
ets_team.team_name,
ets_borrow.time_from,
ets_borrow.time_to,
ets_borrow.borrow_id
FROM ets_tools
INNER JOIN ets_tools_borrow ON ets_tools.tools_id = ets_tools_borrow.tools_id
INNER JOIN ets_borrow ON ets_borrow.borrow_id = ets_tools_borrow.borrow_id
INNER JOIN ets_borrower ON ets_borrower.badgeid = ets_borrow.badgeid
INNER JOIN ets_team ON ets_team.team_id = ets_borrower.team_id
WHERE
ets_tools.borrow_id IS NOT NULL AND
ets_borrow.status_id = 1 AND
ets_borrow.time_to IS NULL
GROUP BY
ets_borrower.fullname,
ets_team.team_name,
ets_borrow.time_from,
ets_borrow.time_to,
ets_borrow.borrow_id;
Try this:
Change the SELECT to SELECT TOP 1 WITH TIES
And at the end add ORDER BY ROW_NUMBER() OVER(PARTITION BY ets_borrow.borrow_id ORDER BY ets_tools.tools_id)
The following query below listed generates blank values in a row.
-- Simplify the pivot selection query by separating the query using a with clause
WITH pivot_data AS(
SELECT va.identity,
vc.units,
s.field_name "Sample ID",
s.id_text "Lab ID",
TO_CHAR(str.result_value, S_FORMATMASK_PACKAGE.s_FormatMask(vc.analysis, s.id_numeric))result_value
FROM sample s
LEFT OUTER JOIN client c ON c.id = s.client_id
LEFT OUTER JOIN samp_test_result str ON (s.id_numeric = str.id_numeric
AND s.id_text = str.id_text and str.result_value is not null)
LEFT OUTER JOIN versioned_analysis va ON (va.identity = str.analysis)
LEFT OUTER JOIN versioned_component vc ON (vc.analysis = va.identity
AND vc.analysis_version = va.analysis_version
AND vc.name = str.component_name)
WHERE s.fas_sample_type = sample_pkg.get_leaf_sample
AND s.status = sample_pkg.get_authorised_sample
AND s.flg_released = constant_pkg.get_true
AND vc.flg_report = constant_pkg.get_true
AND c.id = UPPER ('I000009')
AND s.ID_NUMERIC between TO_NUMBER(2126) and TO_NUMBER(12917) and str.result_value <> 0
)
SELECT pvt1.*
FROM(SELECT * FROM pivot_data PIVOT (MAX(result_value) result_value, MAX(units) units FOR identity IN('NIR_N' "Nitrogen",
'XRF_P' "Phosphorus",
'XRF_K' "Potassium",
'XRF_CA' "Calcium",
'XRF_MG' "Magnesium",
'XRF_S' "Sulphur",
'XRF_SI' "Silicon",
'XRF_ZN' "Zinc",
'XRF_MN' "Manganese",
'XRF_CU' "Copper",
'XRF_FE' "Iron"))) pvt1
How do I remove a row that contains null fields
I have 2 column Risk_Geo_ID in one table which has duplicates and Geography_Identifier in other table which has unique records. Doing an inner join is giving me duplicate records and cannot process this query in cube as Geography_Identifier is a PK and its unique. Need a query to get unique records.
Here is the Code:
SELECT
s.Geography_Identifier
,s.State_Code
,s.State_Name
,s.County_Name
,s.City_Name
,s.ZIP_Code
,a.Risk_ID
,a.Risk_Address
,a.Latitude
,a.Longitude
,a.Distance_to_Coast
,a.Insurance_Score
FROM [Policy].[Dim_Risk] AS a
INNER JOIN [Policy].[Fact_Monthly_Policy_Snap] AS b
ON b.Risk_ID = a.Risk_ID
AND b.Insurance_score = a.Insurance_Score
INNER JOIN [Common].[Dim_Geography] AS s
ON b.Risk_Geo_ID = s.Geography_Identifier
Try using the distinct
SELECT
distinct s.Geography_Identifier
,s.State_Code
,s.State_Name
,s.County_Name
,s.City_Name
,s.ZIP_Code
,a.Risk_ID
,a.Risk_Address
,a.Latitude
,a.Longitude
,a.Distance_to_Coast
,a.Insurance_Score
FROM [Policy].[Dim_Risk] AS a
INNER JOIN [Policy].[Fact_Monthly_Policy_Snap] AS b
ON b.Risk_ID = a.Risk_ID
AND b.Insurance_score = a.Insurance_Score
INNER JOIN [Common].[Dim_Geography] AS s
ON b.Risk_Geo_ID = s.Geography_Identifier
Try to use CROSS APPLY with TOP 1 if you want to get just one row with such ID:
SELECT
q.Geography_Identifier
,s.State_Code
,s.State_Name
,s.County_Name
,s.City_Name
,s.ZIP_Code
,a.Risk_ID
,a.Risk_Address
,a.Latitude
,a.Longitude
,a.Distance_to_Coast
,a.Insurance_Score
FROM [Policy].[Dim_Risk] AS a
INNER JOIN [Policy].[Fact_Monthly_Policy_Snap] AS b
ON b.Risk_ID = a.Risk_ID
AND b.Insurance_score = a.Insurance_Score
CROSS APPLY
(
SELECT
TOP 1
*
FROM [Common].[Dim_Geography] AS s
WHERE s.Geography_Identifier = b.Risk_Geo_ID
)q
In the results of my sql-statement (SQL Server 2016) I would like to combine two rows with the same value in two columns ("study_id" and "study_start") into one row and keep the row with higest value in a third cell ("Id"). If any columns (i.e. "App_id" or "Date_arrival) in the row with higest Id is NULL, then it should take the value from the row with the lowest "Id".
I get the result below:
Id study_id study_start Code Expl Desc Startmonth App_id Date_arrival Efter_op Date_begin
167262 878899 954 4.1 udd.ord Afbrudt feb 86666 21-06-2012 N 17-08-2012
180537 878899 954 1 Afsluttet Afsluttet feb NULL NULL NULL NULL
And I would like to get this result:
Id study_id study_start Code Expl Desc Startmonth App_id Date_arrival Efter_op Date_begin
180537 878899 954 1 Afsluttet Afsluttet feb 86666 21-06-2012 N 17-08-2012
My statement looks like this:
SELECT dbo.PopulationStam_V.ELEV_ID AS id,
dbo.PopulationStam_V.PERS_ID AS study_id,
dbo.STUDIESTARTER.STUDST_ID AS study_start,
dbo.Optagelse_Studiestatus.AFGANGSARSAG AS Code,
dbo.Optagelse_Studiestatus.KORT_BETEGNELSE AS Expl,
ISNULL((CAST(dbo.Optagelse_Studiestatus.Studiestatus AS varchar(20))), 'Indskrevet') AS 'Desc',
dbo.STUDIESTARTER.OPTAG_START_MANED AS Startmonth,
dbo.ANSOGNINGER.ANSOG_ID as App_id,
dbo.ANSOGNINGER.ANKOMSTDATO AS Data_arrival',
dbo.ANSOGNINGER.EFTEROPTAG AS Efter_op,
dbo.ANSOGNINGER.STATUSDATO AS Date_begin
FROM dbo.INSTITUTIONER
INNER JOIN dbo.PopulationStam_V
ON dbo.INSTITUTIONER.INST_ID = dbo.PopulationStam_V.SEMI_ID
LEFT JOIN dbo.ANSOGNINGER
ON dbo.PopulationStam_V.ELEV_ID = dbo.ANSOGNINGER.ELEV_ID
INNER JOIN dbo.STUDIESTARTER
ON dbo.PopulationStam_V.STUDST_ID_OPRINDELIG = dbo.STUDIESTARTER.STUDST_ID
INNER JOIN dbo.UDD_NAVNE_T
ON dbo.PopulationStam_V.UDDA_ID = dbo.UDD_NAVNE_T.UDD_ID
INNER JOIN dbo.UDDANNELSER
ON dbo.UDD_NAVNE_T.UDD_ID = dbo.UDDANNELSER.UDDA_ID
LEFT OUTER JOIN dbo.PERSONER
ON dbo.PopulationStam_V.PERS_ID = dbo.PERSONER.PERS_ID
LEFT OUTER JOIN dbo.POSTNR
ON dbo.PERSONER.PONR_ID = dbo.POSTNR.PONR_ID
LEFT OUTER JOIN dbo.KønAlleElevID_V
ON dbo.PopulationStam_V.ELEV_ID = dbo.KønAlleElevID_V.ELEV_ID
LEFT OUTER JOIN dbo.Optagelse_Studiestatus
ON dbo.PopulationStam_V.AFAR_ID = dbo.Optagelse_Studiestatus.AFAR_ID
LEFT OUTER JOIN dbo.frafaldsmodel_adgangsgrundlag
ON dbo.frafaldsmodel_adgangsgrundlag.ELEV_ID = dbo.PopulationStam_V.ELEV_ID
LEFT OUTER JOIN dbo.Optagelse_prioriteterUFM
ON dbo.Optagelse_prioriteterUFM.cpr = dbo.PopulationStam_V.CPR_NR
AND dbo.Optagelse_prioriteterUFM.Aar = dbo.frafaldsmodel_adgangsgrundlag.optagelsesaar
LEFT OUTER JOIN dbo.frafaldsmodel_stoettetabel_uddannelser AS fsu
ON fsu.id_uddannelse = dbo.UDDANNELSER.UDDA_ID
AND fsu.id_inst = dbo.INSTITUTIONER.INST_ID
AND fsu.uddannelse_aar = dbo.frafaldsmodel_adgangsgrundlag.optagelsesaar
WHERE dbo.STUDIESTARTER.STUDIESTARTSDATO > '2012-03-01 00:00:00.000'
AND (dbo.Optagelse_Studiestatus.AFGANGSARSAG IS NULL
OR dbo.Optagelse_Studiestatus.AFGANGSARSAG NOT LIKE '2.7.4')
AND (dbo.PopulationStam_V.INDSKRIVNINGSFORM = '1100'
OR dbo.PopulationStam_V.INDSKRIVNINGSFORM = '1700')
GROUP BY dbo.PopulationStam_V.ELEV_ID,
dbo.PopulationStam_V.PERS_ID,
dbo.STUDIESTARTER.STUDST_ID,
dbo.Optagelse_Studiestatus.AFGANGSARSAG,
dbo.Optagelse_Studiestatus.KORT_BETEGNELSE,
dbo.STUDIESTARTER.OPTAG_START_MANED,
Studiestatus,
dbo.ANSOGNINGER.ANSOG_ID,
dbo.ANSOGNINGER.ANKOMSTDATO,
dbo.ANSOGNINGER.EFTEROPTAG,
dbo.ANSOGNINGER.STATUSDATO
I really hope somebody out there can help.
Many ways, this will work:
WITH subSource AS (
/* Your query here */
)
SELECT
s1.id,
/* all other columns work like this:
COALESCE(S1.column,s2.column)
for example: */
coalesce(s1.appid,s2.appid) as appid
FROM subSource s1
INNER JOIN subSource s2
ON s1.study_id =s2.study_id
and s1.study_start = s2.study_start
AND s1.id > s2.id
/* I imagine some other clauses might be needed but maybe not */
The rest is copy paste
SELECT pv.PropertyID, COUNT(pv.VisitID) AS InitialVisit
FROM tblPAppointments pa INNER JOIN tblPropertyVisit pv ON pv.AppID = pa.AppID
WHERE pv.Status = 0
GROUP BY pv.PropertyID
UNION ALL
SELECT jv.PropertyID, COUNT(jv.JobVistID) AS JobVisit
FROM tblPAppointments pa INNER JOIN tblJobVisits jv ON jv.AppID = pa.AppID
WHERE jv.VisitStatus = 1
GROUP BY jv.PropertyID
I need to get InitialVisit count and JobVisit count in two separate columns.above query returns just two columns (PropertyID,InitialVisit).
Use a NULL as a placeholder for the column that there won't be any output for:
SELECT pv.PropertyID,
COUNT(pv.VisitID) AS InitialVisit,
NULL AS jobvisit
FROM tblPAppointments pa
JOIN tblPropertyVisit pv ON pv.AppID = pa.AppID
WHERE pv.Status = 0
GROUP BY pv.PropertyID
UNION ALL
SELECT jv.PropertyID,
NULL AS initialvisit,
COUNT(jv.JobVistID) AS JobVisit
FROM tblPAppointments pa
JOIN tblJobVisits jv ON jv.AppID = pa.AppID
WHERE jv.VisitStatus = 1
GROUP BY jv.PropertyID
This will return three columns. The column alias is necessary in the first query, but not in the second -- I aliased both to make it clear what is happening.
Be aware that using NULL like this in SQL Server will require you to use CAST/CONVERT on the NULL for data types other than INT because SQL Server defaults the NULL to an INT data type (as odd as that is).
An alternate query that doesn't use UNION:
SELECT x.propertyid,
COUNT(y.visitid) AS initialvisit,
COUNT(z.jobvisitid) AS jobvisit
FROM (SELECT pv.propertyid
FROM TBLPROPERTYVISIT pv
WHERE EXISTS (SELECT NULL
FROM TBLAPPOINTMENTS a
WHERE a.appid = pv.appid)
UNION
SELECT jv.propertyid
FROM TBLJOBVISIT jv
WHERE EXISTS (SELECT NULL
FROM TBLAPPOINTMENTS a
WHERE a.appid = jv.appid)) x
LEFT JOIN TBLPROPERTYVISIT y ON y.propertyid = x.propertyid
LEFT JOIN TBLJOBVISIT z ON z.propertyid = x.propertyid
GROUP BY x.propertyid
No need for a UNION at all. And you don't use tblPAppointments either
Edited to allow for no rows in one of the tables. Still one row output though
SELECT
ISNULL(pv2.PropertyID, jv2.PropertyID),
ISNULL(pv2.InitialVisit, 0),
ISNULL(jv2.JobVisit, 0)
FROM
(
SELECT pv.PropertyID, COUNT(pv.VisitID) AS InitialVisit
FROM tblPropertyVisit pv
WHERE pv.Status = 0
GROUP BY pv.PropertyID
) pv2
FULL OUTER JOIN
(
SELECT jv.PropertyID, COUNT(jv.JobVistID) AS JobVisit
FROM tblJobVisits jv
WHERE jv.VisitStatus = 1
GROUP BY jv.PropertyID
) jv2 ON pv2.PropertyID = jv2.PropertyID