I have problem making proper query for this kind of need. I hope someone can clear my mind.
Let's say that I have these three tables:
A-TABLE
Column1|Column2
B-TABLE
Column3|Column4
C-TABLE
Column5|Column6
First these tables A and B should be left joined when A-TABLE.Column1 = B-TABLE.Column3. This table should be also filtered with WHERE clause because I don't need all the rows.
Then, it's necessary to group by this new joined table so that after that I got table that contains SUM() of B-TABLE.Column3 grouped by A-TABLE.Column1.
So, after this I should join the table to C-TABLE so that C-TABLE.Column5 = A-TABLE.Column1.
I hope someone can help me achieve my goal?
This goes by your specs :
;With SomeCTE As
(
Select A-TABLE.Column1
, Sum(C-TABLE.Column3) As SomeSum
From C-TABLE
Left Join A-TABLE On C-TABLE.Column3 = A-TABLE.Column1
--Where ...
Group By A-TABLE.Column1
)
Select Column1
, Column5
, SomeSum
From SomeCTE
Inner Join C-TABLE On SomeCTE.Column1 = C-TABLE.Column5
Related
I am writing a query but i'm getting wrong result.Table are follows:
Tbl1(ProId, price,VId)
Tbl2(ProId, price, VId)
I have written this query:
SELECT
a.ProId, b.ProId,
SUM(a.price) - SUM(b.price) AS TotalPro
FROM
tbl1 AS a
INNER JOIN
tbl2 AS b ON a.ProId = b.ProId
WHERE
a.VId = '1234'
GROUP BY
a.ProId, b.ProId;
This query is returning an incorrect answer. What I have done is sum the price from table one and two separately and minus them the answer was fine. But when I join, I don't know why I am getting the wrong answer. ProId is same in both table, values are same.
I guess you want sth like below:
SELECT ProdId, SUM(price)
FROM (
SELECT a.ProId,a.price
FROM Tbl1 a
WHERE a.VId='1234'
UNION ALL
SELECT b.ProdId, -b.price
FROM Tbl2 b
--WHERE b.VId ='1234' (?)
) sub
GROUP BY ProdId;
The issue with JOIN is you may have some rows that are summed multiple times.
I am retrieving data from table ProductionReportMetrics where I have column NetRate_QuoteID. Then to that result set I need to get Description column.
And in order to get a Description column, I need to join 3 tables:
NetRate_Quote_Insur_Quote
NetRate_Quote_Insur_Quote_Locat
NetRate_Quote_Insur_Quote_Locat_Liabi
But after that my premium is completely off.
What am I doing wrong here?
SELECT QLL.Description,
QLL.ClassCode,
prm.NetRate_QuoteID,
QL.LocationID,
ISNULL(SUM(premium),0) AS NetWrittenPremium,
MONTH(prm.EffectiveDate) AS EffMonth
FROM ProductionReportMetrics prm
LEFT JOIN NetRate_Quote_Insur_Quote Q
ON prm.NetRate_QuoteID = Q.QuoteID
INNER JOIN NetRate_Quote_Insur_Quote_Locat QL
ON Q.QuoteID = QL.QuoteID
INNER JOIN NetRate_Quote_Insur_Quote_Locat_Liabi QLL
ON QL.LocationID = QLL.LocationID
WHERE YEAR(prm.EffectiveDate) = 2016 AND
CompanyLine = 'Ironshore Insurance Company'
GROUP BY MONTH(prm.EffectiveDate),
QLL.Description,
QLL.ClassCode,
prm.NetRate_QuoteID,
QL.LocationID
I think the problem in this table:
What Am I missing in this Query?
select
ClassCode,
QLL.Description,
sum(Premium)
from ProductionReportMetrics prm
LEFT JOIN NetRate_Quote_Insur_Quote Q ON prm.NetRate_QuoteID = Q.QuoteID
LEFT JOIN NetRate_Quote_Insur_Quote_Locat QL ON Q.QuoteID = QL.QuoteID
LEFT JOIN
(SELECT * FROM NetRate_Quote_Insur_Quote_Locat_Liabi nqI
JOIN ( SELECT LocationID, MAX(ClassCode)
FROM NetRate_Quote_Insur_Quote_Locat_Liabi GROUP BY LocationID ) nqA
ON nqA.LocationID = nqI.LocationID ) QLL ON QLL.LocationID = QL.LocationID
where Year(prm.EffectiveDate) = 2016 AND CompanyLine = 'Ironshore Insurance Company'
GROUP BY Q.QuoteID,QL.QuoteID,QL.LocationID
Now it says
Msg 8156, Level 16, State 1, Line 14
The column 'LocationID' was specified multiple times for 'QLL'.
It looks like DVT basically hit on the answer. The only reason you would get different amounts(i.e. duplicated rows) as a result of a join is that one of the joined tables is not a 1:1 relationship with the primary table.
I would suggest you do a quick check against those tables, looking for table counts.
--this should be your baseline count
SELECT COUNT(*)
FROM ProductionReportMetrics
GROUP BY MONTH(prm.EffectiveDate),
prm.NetRate_QuoteID
--this will be a check against the first joined table.
SELECT COUNT(*)
FROM NetRate_Quote_Insur_Quote Q
WHERE QuoteID IN
(SELECT NetRate_QuoteID
FROM ProductionReportMetrics
GROUP BY MONTH(prm.EffectiveDate),
prm.NetRate_QuoteID)
Basically you will want to do a similar check against each of your joined tables. If any of the joined tables are part of the grouping statement, make sure they are also in the grouping of the count check statement. Also make sure to alter the WHERE clause of the check count statement to use the join clause columns you were using.
Once you find a table that returns the incorrect number of rows, you will have your answer as to what table is causing the problem. Then you will just have to decide how to limit that table down to distinct rows(some type of aggregation).
This advice is really just to show you how to QA this particular query. Break it up into the smallest possible parts. In this case, we know that it is a join that is causing the problem, so take it one join at a time until you find the offender.
I am trying to run a SELECT query using LEFT JOIN. I get a COUNT on my second table ( the table on the right side of LEFT JOIN ). This process becomes slightly heavy as the number of records on the second table goes up. My first and second table have a one-to-many relationship. The second table's CampaignId column is a foreign key to the first table's Id. This is a simplified version of my query:
SELECT a.[Id]
,a.CampaignId
,a.[Inserted] AS 'Date'
,COUNT(b.Id) AS 'Received'
FROM [CampaignRun] AS a
LEFT JOIN [CampaignRecipient] AS b
ON a.Id = b.CampaignRunId
GROUP BY
a.[Id], a.CampaignId,a.[Inserted]
HAVING
a.CampaignId = 637
ORDER BY
a.[Inserted] DESC
The number 637 is an example for one the records only.
Is there a way to make this query run faster?
Use a sub-select to calculate Received:
SELECT a.[Id]
,a.CampaignId
,a.[Inserted] AS 'Date'
, (SELECT COUNT(*) FROM [CampaignRecipient] AS b
WHERE a.Id = b.CampaignRunId ) AS 'Received'
FROM [CampaignRun] AS a
WHERE a.CampaignId = 637
ORDER BY a.[Inserted] DESC
You have unneed HAVING clause here, which you can move to WHERE clause
SELECT a.[Id]
,a.CampaignId
,a.[Inserted] AS 'Date'
,COUNT(b.Id) AS 'Received'
FROM [CampaignRun] AS a
LEFT JOIN [CampaignRecipient] AS b
ON a.Id = b.CampaignRunId
WHERE a.CampaignId = 637
GROUP BY a.[Id], a.CampaignId,a.[Inserted]
ORDER BY a.[Inserted] DESC
Also ensure that you have index on foreign key in [CampaignRecipient] table on CampaignRunId column. It's considered a good practice.
I have 3 tables that are joined together with this query.
One of them brings me people names , another one brings me their points and the last one brings me date time.
I select the total people score.
Also, there is a column in the 3th tables that brings me the scores' transaction Date Time. My problem is that I want to write a TSQL query with this condition:
Select the transaction date where the people score is 12,000 or more.
In my idea I should use while loop but I do not know the syntax?
This is how I would do it-
SELECT cp.FirstName
, cp.LastName
, SUM(Points) as Score
FROM ClubProfile cp
RIGHT JOIN CardTransaction ct
ON cp.ClubProfileId = ct.ClubProfileId
INNER JOIN Your3rdTable as t3
ON cp.ClubProfileId = t3.ClubProfileId
WHERE CONVERT(VARCHAR, ct.[Date Column], 101) = #your_date_param
GROUP BY
cp.FirstName
, cp.LastName
HAVING SUM(Points) >=12000
Based on your post this should be close to what you need. You need to add that 3rd table and alter this statement accordingly.
SELECT cp.FirstName
, cp.LastName
, SUM(Points) as Score
FROM [fidilio].[dbo].[ClubProfile] cp
RIGHT JOIN (
CardTransaction ct
INNER JOIN CardTransactionLog ctl
ON cp.CardTransactionLogId = ctl.CardTransactionLogId
)
ON cp.ClubProfileId = ct.ClubProfileId
GROUP BY
cp.FirstName
, cp.LastName
HAVING SUM(Points) >=12000
AND ctl.TransactionTimeStamp = #SomeDateTimeVariable
The variable #SomeDateTimeVariable has to come from someplace what is your exact time-frame criteria
Using SQL 2005: “Taking too much time to execute”
I want to filter the date, the date should not display in holidays, and I am using three tables with Inner Join
When I run the below query, It taking too much time to execute, because I filter the cardeventdate with three table.
Query
SELECT
PERSONID, CardEventDate tmp_cardevent3
WHERE (CardEventDate NOT IN
(SELECT T_CARDEVENT.CARDEVENTDATE
FROM T_PERSON
INNER JOIN T_CARDEVENT ON T_PERSON.PERSONID = T_CARDEVENT.PERSONID
INNER JOIN DUAL_PRO_II_TAS.dbo.T_WORKINOUTTIME ON T_CARDEVENT.CARDEVENTDAY = DUAL_PRO_II_TAS.dbo.T_WORKINOUTTIME.DAYCODE
AND T_PERSON.TACODE = DUAL_PRO_II_TAS.dbo.T_WORKINOUTTIME.TACODE
WHERE (DUAL_PRO_II_TAS.dbo.T_WORKINOUTTIME.HOLIDAY = 'true')
)
)
ORDER BY PERSONID, CardEventDate DESC
For the above mentioned Query, there is any other way to do date filter.
Expecting alternative queries for my query?
I'm pretty sure that it's not the joined tables that is the problem, but rather the "not in" that makes it slow.
Try to use a join instead:
select m.PERSONID, m.CardEventDate
from T_PERSON p
inner join T_CARDEVENT c on p.PERSONID = c.PERSONID
inner join DUAL_PRO_II_TAS.dbo.T_WORKINOUTTIME w
on c.CARDEVENTDAY = w.DAYCODE
and p.TACODE = w.TACODE
and w.HOLIDAY = 'true'
right join tmp_cardevent3 m on m.CardEventDate = c.CardEventDate
where c.CardEventDate is null
order by m.PERSONID, m.CardEventDate desc
(There is a from clause missing from your query, so I don't know what table you are trying to get the data from.)
Edit:
Put tmp_cardevent3 in the correct place.
Have you created indices on all of the columns that you are using to do the joins? In particular, I'd consider indices on PERSONID in T_CARDEVENT, TACODE in both T_PERSON and T_WORKINOUTTIME, and HOLIDAY in T_WORKINOUTTIME.