Please someone help with this query:
Query table1 and return all table1.parentOrderNumber, table1.orderPriority, table1.orderQuantity values where the corresponding table2.orderNumber equals table1.parentOrderNumber and the lowest value table2.operationNumber has an table2.scheduledStartDate greater than or equal to the current date -5 days and less than or equal to the current date + 3 days.
Here table2 has duplicate orderNumber which have different operationNumber against them. I have tried having clause and others but it doesnt seem to help. I have written following query so far which is returning duplicate parentOrderNumber and not only for minimum value of operationNumber:
SELECT
t1.parentOrderNumber AS parentOrderNumber
,t2.scheduledStartDate AS scheduledStartDate
,t1.salesOrderNumber AS salesOrderNumber
,t1.salesOrderLine AS salesOrderLine
,t1.orderPriority AS orderPriority
,t1.orderQuantity AS orderQuantity
,t1.modelNumber AS modelNumber
,t2.calculatedActualLabor AS CalculatedActualLabor
,MIN(t2.operationNumber) AS operationNumber
FROM
table2 t2 WITH(NOLOCK)
LEFT JOIN
table1 t1 WITH(NOLOCK) ON t2.orderNumber = t1.parentorderNumber
WHERE
parentOrderNumber <> ''
AND t1.productionplant = 'xyz'
GROUP BY
--t1.orderNumber
t1.parentOrderNumber
,t2.scheduledStartDate
,t1.salesOrderNumber
,t1.salesOrderLine
,t1.orderPriority
,t1.orderQuantity
,t1.modelNumber
,t2.calculatedActualLabor
If I'm understanding your question properly the following query should get you what you want:
select * from t2 inner join
(select t2.ordernumber, min(t2.operationnumber) as operationnumber
from t2 where t2.schedulestartdate between getdate()-5 and getdate()+3
group by ordernumber) t2_1
on t2.ordernumber = t2_1.ordernumber and t2.operationnumber = t2_1.operationnumber
inner join t1 on t1.parentordernumber = t2.ordernumber
Related
I have a subquery that if it returns more than one value, they show in the same column but different line with all the other information would be the same and just the result the result of the subquery would be different.
As it is now, I'm getting an error
Subquery returned more than 1 value but no operator
The part that matters about my code is:
SELECT
TABLE1.ID_Cota,
(SELECT Observacao
FROM TABLE2
INNER JOIN TABLE2A ON TABLE2.ID_TABLE2 = TABLE2A.ID_TABLE2
AND TABLE2.ID_COTA = COTAVINCULADA.ID_COTA_MAE
AND TABLE2.ID_OCORRENCIA_CONTEMPLACAO = 335) AS 'OBSERVACAO_COTA_MAE_335',
FASE335A.OBSERVACAO AS 'OBSERVACAO_COTA_VINCULADA_335'
FROM
TABLE1
LEFT JOIN
...
If all the code is needed, please let me know.
Move the subquery inside FROM and join it with the other tables
SELECT TABLE1.ID_Cota, sub_query.Observacao as 'OBSERVACAO_COTA_MAE_335'
FROM
(SELECT Observacao FROM TABLE2
INNER JOIN TABLE2A ON TABLE2.ID_TABLE2 = TABLE2A.ID_TABLE2
AND TABLE2.ID_COTA = COTAVINCULADA.ID_COTA_MAE
AND TABLE2.ID_OCORRENCIA_CONTEMPLACAO = 335)
AS sub_query CROSS_JOIN
TABLE1
LEFT JOIN..
I have following query, which is working as expected but taking approx 3 seconds to execute. Reason is large number of records. Can somebody please suggest any steps in order to improve performance?
Explanation :
Check to see value using Comp id and Default_Comp = 1
If not found, ignore the Default_Comp and check only based on Comp id
Still not found, ignore the join with table 2 and try to get by Comp id.
My code:
DECLARE #Finished_Comp VARCHAR(MAX) = NULL;
SELECT #Finished_Comp = MIN(tbl2.Finished_Comp)
FROM Table1 tbl1
INNER JOIN Table2 tbl2 ON tbl1.Sav_ID = tbl2.Sav_ID
WHERE Comp_ID = #Comp_ID AND tbl1.Default_Comp = 1
IF #Finished_Comp IS NULL
BEGIN
SELECT #Finished_Comp = MIN(tbl2.Finished_Comp)
FROM Table1 tbl1
INNER JOIN Table2 tbl2 ON tbl1.Sav_ID = tbl2.Sav_ID
WHERE Comp_ID = #Comp_ID
END
IF #Finished_Comp IS NULL
BEGIN
SELECT #Finished_Comp = MIN(Finished_Comp)
FROM Table1 tbl1
WHERE Comp_ID = #Comp_ID AND #Finished_Comp != ''
END
I tried to use COALESCE, but it's returning wrong results for Finished_Comp
You say in the comments
I strongly believe the query can be changed to some extent so that no
multiple queries need to be executed.
Yes you're right.
SELECT #Finished_Comp = COALESCE(MIN(CASE WHEN tbl1.Default_Comp = 1 THEN tbl2.Finished_Comp END),
MIN(tbl2.Finished_Comp),
MIN(CASE WHEN tbl1.Finished_Comp <> '' THEN tbl1.Finished_Comp END))
FROM Table1 tbl1
LEFT JOIN Table2 tbl2
ON tbl1.Sav_ID = tbl2.Sav_ID
WHERE tbl1.Comp_ID = #Comp_IDV
But at best this will only reduce execution time to a third of current (for the case that all three queries need to be executed).
You should consider adding indexes on
Table1 - Comp_ID, Sav_ID INCLUDE (Default_Comp, Finished_Comp)
Table2 - Sav_ID INCLUDE (Finished_Comp)
For potentially much larger improvements.
I am trying to run a query in T-SQL to pull back a data set based on a column being null.
This is a simplified version of the code:
SELECT
T1.Col1, T1.Col2,
T1.Col3, T1.Col4
FROM
table1 AS T1
INNER JOIN
table2 AS T2 ON T1.Col2 = T2.Col3
WHERE
T2.Col4 IS NULL
Problem is, the result includes rows where T2.Col4 are NULL and also not NULL, it's like the WHERE clause doesn't exist.
Any ideas would be greatly
UPDATE - full version of code:
SELECT
M.ref
,C.cname
,CL.clname
,C.ccity
,M.productLine
,M.code
,CL.date
,M.dept
,DPT.group
,TK2.tkname
,TK2.tkdept
FROM DB.dbo.manage AS M
OUTER JOIN DB.dbo.ClientManageRelationship AS CMR
ON CMR.RelatedEntityID = M.EntityID
OUTER JOIN DB.dbo.Client AS C
ON C.EntityID = CMR.EntityID
INNER JOIN DB.dbo.ManageCustomerRelationship AS MCR
ON MCR.EntityID = M.EntityID
INNER JOIN DB.dbo.Customer AS CL
ON CL.EntityID = MCR.RelatedID
INNER JOIN DB.dbo.timek AS TK
ON TK.tki = M.tkid
LEFT JOIN (SELECT Group = division, [Department] = newdesc, deptcode FROM DB.csrt.vw_rep_p_l_dept) AS DPT
ON tkdept = DPT.dept
LEFT JOIN (SELECT Name = TK2.tkfirst + ' ' + TK2.tklast, TK2.tki, TK2.dept, TK2.loc FROM DB.dbo.timek as TK2 WITH(NOLOCK)) AS TK2
ON TK2.tki = M.tkid
WHERE DPT.Department = 'Casualty'
AND UPPER (C.ClientName) LIKE '%LIMITED%'
AND CL.date > '31/12/2014'
AND CL.Date IS NULL
AND TK.tkloc = 'loc1' OR TK.tkloc = 'loc2'
ORDER BY M.ref
My first answer would be because you're using INNER JOIN. This only returns matches between the 2 tables. TRY FULL OUTER JOIN which will return all values regardless of matches and will include NULLS.
If you were looking to return all rows regardless of matches including NULLS from only one of the tables then use RIGHT or LEFT JOIN.
Say i had 2 tables ('Person' and 'Figure'). Not every person may have entered a figure on any one day. But an example may be i want to return all people regardless of whether they entered a figure or not on a certain day.
My initial approach to this would be a LEFT join because i want to return of all the people(left table) regardless of there being any matches in the figure table(right table)
FROM Person P
LEFT JOIN Figure F
ON P.ID = F.ID
This would produce a result such as
Name Figure
Sam 20
Ben 30
Matt NULL
Simon NULL
Whereas,
An inner join would produce only matching values not including nulls
Name Figure
Sam 20
Ben 30
Left join works the same way as right join but in the opposite direction. This is most likely the problem you were facing. But i hope this helped
I think the problem is in the last part of the where condition.
You should use brackets.
`WHERE DPT.Department = 'Casualty'
AND UPPER (C.ClientName) LIKE '%LIMITED%'
AND CL.date > '31/12/2014'
AND CL.Date IS NULL
AND (TK.tkloc = 'loc1' OR TK.tkloc = 'loc2')`
or
`WHERE DPT.Department = 'Casualty'
AND UPPER (C.ClientName) LIKE '%LIMITED%'
AND CL.date > '31/12/2014'
AND CL.Date IS NULL
AND TK.tkloc IN ('loc1', 'loc2')`
First when I started this project seemed very simple. Two tables, field tbl1_USERMASTERID in Table 1 should be update from field tbl2_USERMASTERID Table 2. After I looked deeply in Table 2, there is no unique ID that I can use as a key to join these two tables. Only way to match the records from Table 1 and Table 2 is based on FIRST_NAME, LAST_NAME AND DOB. So I have to find records in Table 1 where:
tbl1_FIRST_NAME equals tbl2_FIRST_NAME
AND
tbl1_LAST_NAME equals tbl2_LAST_NAME
AND
tbl1_DOB equals tbl2_DOB
and then update USERMASTERID field. I was afraid that this can cause some duplicates and some users will end up with USERMASTERID that does not belong to them. So if I find more than one record based on first,last name and dob those records would not be updated. I would like just to skip and leave them blank. That way I wouldn't populate invalid USERMASTERID. I'm not sure what is the best way to approach this problem, should I use SQL or ColdFusion (my server side language)? Also how to detect more than one matching record?
Here is what I have so far:
UPDATE Table1 AS tbl1
LEFT OUTER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.fname = tbl2.fname
AND tbl1.lname = tbl2.lname
SET tbl1.usermasterid = tbl2.usermasterid
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
Here is query where I tried to detect duplicates:
SELECT DISTINCT
tbl1.FName,
tbl1.LName,
tbl1.dob,
COUNT(*) AS count
FROM Table1 AS tbl1
LEFT OUTER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.FName = tbl2.first
AND tbl1.LName = tbl2.last
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
AND LTRIM(RTRIM(tbl1.first)) <> ''
AND LTRIM(RTRIM(tbl1.last)) <> ''
AND LTRIM(RTRIM(tbl1.dob)) <> ''
GROUP BY tbl1.FName,tbl1.LName,tbl1.dob
Some data after I tested query above:
First Last DOB Count
John Cook 2008-07-11 2
Kate Witt 2013-06-05 1
Deb Ruis 2016-01-22 1
Mike Bennet 2007-01-15 1
Kristy Cruz 1997-10-20 1
Colin Jones 2011-10-13 1
Kevin Smith 2010-02-24 1
Corey Bruce 2008-04-11 1
Shawn Maiers 2016-08-28 1
Alenn Fitchner 1998-05-17 1
If anyone have idea how I can prevent/skip updating duplicate records or how to improve this query please let me know. Thank you.
You could check for and avoid duplicate matches using with common_table_expression (Transact-SQL)
along with row_number()., like so:
with cte as (
select
t.fname
, t.lname
, t.dob
, t.usermasterid
, NewUserMasterId = t2.usermasterid
, rn = row_number() over (partition by t.fname, t.lname, t.dob order by t2.usermasterid)
from table1 as t
inner join table2 as t2 on t.dob = t2.dob
and t.fname = t2.fname
and t.lname = t2.lname
and ltrim(rtrim(t.usermasterid)) = ''
)
--/* confirm these are the rows you want updated
select *
from cte as t
where t.NewUserMasterId != ''
and not exists (
select 1
from cte as i
where t.dob = i.dob
and t.fname = i.fname
and t.lname = i.lname
and i.rn>1
);
--*/
/* update those where only 1 usermasterid matches this record
update t
set t.usermasterid = t.NewUserMasterId
from cte as t
where t.NewUserMasterId != ''
and not exists (
select 1
from cte as i
where t.dob = i.dob
and t.fname = i.fname
and t.lname = i.lname
and i.rn>1
);
--*/
I use the cte to extract out the sub query for readability. Per the documentation, a common table expression (cte):
Specifies a temporary named result set, known as a common table expression (CTE). This is derived from a simple query and defined within the execution scope of a single SELECT, INSERT, UPDATE, or DELETE statement.
Using row_number() to assign a number for each row, starting at 1 for each partition of t.fname, t.lname, t.dob. Having those numbered allows us to check for the existence of duplicates with the not exists() clause with ... and i.rn>1
You could use a CTE to filter out the duplicates from Table1 before joining:
; with CTE as (select *
, count(ID) over (partition by LastName, FirstName, DoB) as IDs
from Table1)
update a
set a.ID = b.ID
from Table2 a
left join CTE b
on a.FirstName = b.FirstName
and a.LastName = b.LastName
and a.Dob = b.Dob
and b.IDs = 1
This will work provided there are no exact duplicates (same demographics and same ID) in table 1. If there are exact duplicates, they will also be excluded from the join, but you can filter them out before the CTE to avoid this.
Please try below SQL:
UPDATE Table1 AS tbl1
INNER JOIN Table2 AS tbl2
ON tbl1.dob = tbl2.dob
AND tbl1.fname = tbl2.fname
AND tbl1.lname = tbl2.lname
LEFT JOIN Table2 AS tbl3
ON tbl3.dob = tbl2.dob
AND tbl3.fname = tbl2.fname
AND tbl3.lname = tbl2.lname
AND tbl3.usermasterid <> tbl2.usermasterid
SET tbl1.usermasterid = tbl2.usermasterid
WHERE LTRIM(RTRIM(tbl1.usermasterid)) = ''
AND tbl3.usermasterid is null
I have two tables with two formats date
table 1 :
id time ref
5 1397635972 A
10 1397635975 B
50 1397635976 C
table 2 :
id time ref
10 2013/10/05 D
51 2014/01/02 E
how join two table on table1.id=table2.id and table1.time=table2.time
This is my attempt :
$sql=' select table1.id, table1.time, table1.ref, table2.id, table2.time, table2.ref
from table1 INNER JOIN table2
ON (table1.id = table2.id AND DATE_FORMAT(table1.time,'%y/%m/%d') = table2.time)';
Try this:
select table1.id, table1.time, table1.ref, table2.id, table2.time, table2.ref
from table1 INNER JOIN table2
ON (table1.id = table2.id AND FROM_UNIXTIME(table1.time) = table2.time)
Are you sure that the ID needs to be a part of the join as well? This kind of join with this kind of structure would make almost no sense from a database design standpoint...
No data are not shown
For example FROM_UNIXTIME table2.time :
SELECT FROM_UNIXTIME(1196440219) : '2007-11-30 10:30:19'
I need to format then become : 2013/10/05