I was wondering if anyone can help me with this query.
I have two tables that I join together (DDS2ENVR.QBO AND KCA0001.ORTS)
THE QBO Table has a field labeled NIIN AND RIC. THE KCA0001.ORTS table has a field named SERVICE and OWN_RIC.
I Join the tables by QBO.RIC and ORTS.OWN_RIC. My dilemma is that under the NIIN field multiple rows can be identical but have different values for RIC.
Example:
NIIN RIC
123455 A
122222 B
123456 C
122222 A
I want to query a distinct count for NIINS that separates by the different service where it does not overlap. So example NIIN should only find distinct values only associated with A where the same NIIN is not found in B,C,D etc.
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
Please ask questions if this does not make any sense.
Using Not Exists
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
and NOT EXISTS (Select 1 from DDS2ENVR.QBO C1 where C1.NIIN = C.NIIN and C1.RIC <> C.RIC)
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
Also if the table DDS2ENVR.QBO doesn't contain duplicates and your dbms supports CTE
With cte as
(Select NIIN from DDS2ENVR.QBO group by NIIN having count(*) = 1)
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
and C.NIIN in (Select * from cte)
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
Related
For large amounts of data, it is taking a lot of time to execute.
Please help tune this query.
select *
from
(select cs.sch, cs.cls, cs.std, d.date, d.count
from
(select c.sch, c.cls, s.std
from
(select distinct sch, cls from Data) c --List of school/classes
cross join
(select distinct std from Data) s --list of std
) cs --every possible combination of school/classes and std
left outer join
Data D on D.sch = cs.sch and D.cls = cs.cls and D.std = cs.std --try and join to the original data
group by
c.sch, c.cls, s.std, d.date, d.count)
order by
cs.sch, cs.cls,
case
when (cs.std= 'Ax')
then 1
when (cs.std= 'Bo')
then 2
when (cs.std= 'Ct')
then 3
else null
end
Thanks in advance
Magickk
First, the query is generating a lot of rows (presumably) and so it is going to take time.
From what I can tell, the outer aggregation is not necessary. At the very least, you have no aggregation functions which is suspicious.
select c.sch, c.cls, s.std, d.date, d.count
from (Select distinct sch, cls from Data
) c cross join -- list of school/classes
(select distinct std from Data
) s left join -- list of std
Data d
on d.sch = cs.sch and d.cls = cs.cls and d.std = cs.std
order by cs.sch, cs.cls,
(case cs.std when 'Ax' then 1 when 'Bo' then 2 when 'Ct' else 3 end)
There is nothing you can do about the outer order by. For the select distinct subqueries, you can create indexes on data(sch, cls, std) (the third column is for the join) and data(std).
DISTINCT is slowing down performance on big tables. Instead, a replacement for DISTINCT could be GROUP BY (wich in some scenarios is more rapid)
select *
from
(select cs.sch, cs.cls, cs.std, d.date, d.count
from
(select c.sch, c.cls, s.std
from
(select sch, cls from Data
group by sch, cls) c
cross join
(select std from Data
group by std) s) cs --every possible combination of school/classes and std
left outer join
Data D on D.sch = cs.sch and D.cls = cs.cls and D.std = cs.std --try and join to the original data
group by
c.sch, c.cls, s.std, d.date, d.count)
order by
cs.sch, cs.cls,
case
when (cs.std= 'Ax')
then 1
when (cs.std= 'Bo')
then 2
when (cs.std= 'Ct')
I have the following table:
ID Number Revision
x y 0
x y 1
z w 0
a w 0
a w 1
b m 0
b m 0
I need to return rows that for the same Number thare are more then one ID with the same Revision.Number can be "Null" and I don't need those values.
The output should be:
z w 0
a w 0
I have tried the following query:
SELECT a.id,a.number,a.revision,
FROM table a INNER JOIN
(SELECT id, number, revision FROM table where number > '0'
GROUP BY number HAVING COUNT(*) > 1
) b ON a.revision = b.revision AND a.id != b.id
A little addition- I have rows in my table with the same Number, ID and Revision- I don't need those rows in my query to be displayed!
It is not working! Please help me to figure out how to fix it.
Thanks.
Select t.Id,s.number,t.revision
from (Select number,count(*) 'c'
from table t1
where revision=0
group by number
having count(*) > 1
) s join table t on t.number= s.number
where revision = 0
Another simple approach:
SELECT DISTINCT b.id, b.Number, b.Revision
FROM tbl a
INNER JOIN tbl b
ON a.ID != b.ID AND a.Number = b.Number AND a.Revision = b.Revision;
This is tested in MySql 5, syntax might differ slightly.
You are not that far away with your query:
SELECT a.id,a.number,a.revision
FROM table a
JOIN (
-- multiple id for the same number and revision
SELECT number, revision
FROM table
GROUP BY number, revision
HAVING COUNT(*) > 1
) b
ON a.revision = b.revision
AND a.number = b.number
Untested, but you should get the idea. If your sql-server is a resent version you can solve this with OLAP functions as well.
To filter out rows where the whole row is duplicated we can select only unique rows via group by and having:
SELECT a.id,a.number,a.revision
FROM table a
JOIN (
-- multiple id for the same number and revision
SELECT number, revision
FROM table
GROUP BY number, revision
HAVING COUNT(*) > 1
) b
ON a.revision = b.revision
AND a.number = b.number
GROUP BY a.id,a.number,a.revision
HAVING COUNT(1) = 1
I have this two query
1.
select CL_Clients.cl_id,CL_Clients].cl_name,COUNT(*) AS number_of_orders
from CL_Clients,CLOI_ClientOrderItems
where CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id
2.
select CL_Clients.cl_id,count(cloi_current_status) as dis
from CLOI_ClientOrderItems,CL_Clients
where cloi_current_status]='12'
and CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id,CLOI_ClientOrderItems.cloi_current_status
i have this column i need to put count function and where condition
[cloi_current_status]
166
30
30
30
150
150
150
150
150
150
150
Quite simple, you just encapsulate the queries and give their result sets an alias and then do a JOIN between their aliases on the column that is common. (In the query below I assume you'll be joining by client id)
SELECT *
FROM (
SELECT CL_Clients.cl_id,
CL_Clients].cl_name,
COUNT(*) AS number_of_orders
FROM CL_Clients,
CLOI_ClientOrderItems
WHERE CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id
) A
INNER JOIN (
SELECT CL_Clients.cl_id,
count(cloi_current_status) AS dis
FROM CLOI_ClientOrderItems,
CL_Clients
WHERE cloi_current_status] = '12'
AND CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id,
CLOI_ClientOrderItems.cloi_current_status
) B
ON A.cl_id = B.cl_id
WHERE ...
GROUP BY ...
This will be treated as a separate result set, so you can also filter results with a WHERE or just a GROUP BY, just like in a normal SELECT.
UPDATE:
To answer the question in your comments, when you join two tables that have a column with the same value and use
SELECT * FROM A INNER JOIN B the * will show all columns returned by the join, meaning all columns from A and all columns from B, this is why you have duplicate columns.
If you want to filter the columns returned you can specifiy which columns you want returned. So, in your case, the top SELECT * can be replaced with
SELECT A.cl_id, A.cl_name, A.number_of_orders, B.dis so, your query becomes:
SELECT A.cl_id, A.cl_name, A.number_of_orders, B.dis
FROM (
SELECT CL_Clients.cl_id,
CL_Clients].cl_name,
COUNT(*) AS number_of_orders
FROM CL_Clients,
CLOI_ClientOrderItems
WHERE CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id
) A
INNER JOIN (
SELECT CL_Clients.cl_id,
count(cloi_current_status) AS dis
FROM CLOI_ClientOrderItems,
CL_Clients
WHERE cloi_current_status] = '12'
AND CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id,
CLOI_ClientOrderItems.cloi_current_status
) B
ON A.cl_id = B.cl_id
UPDATE #2:
For your last question, you need to GROUP BY at the end of the big query and use a HAVING condtion, like this:
GROUP BY A.cl_id, A.cl_name, A.number_of_orders, B.dis
HAVING COUNT(cloi_current_status) > 100
All depends on what data you are trying to get, but you can go about it like this.
SELECT Column_x, Column_y, etc..
FROM ClL_Clients a
JOIN (select CL_Clients.cl_id,CL_Clients].cl_name,COUNT(*) AS number_of_orders
from CL_Clients,CLOI_ClientOrderItems
where CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id) b
on a.cl_id = b.cl_id
JOIN (select CL_Clients.cl_id,count(cloi_current_status) as dis
from CLOI_ClientOrderItems,CL_Clients
where cloi_current_status]='12'
and CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id,CLOI_ClientOrderItems.cloi_current_status) c
on a.cl_id = c.cl_id
Group by BLAH BLAH
Hope this gets you in the right direction.
I am currently joining two tables based on Claim_Number and Customer_Number.
SELECT
A.*,
B.*,
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbp.Compound_Info AS B ON A.Claim_Number = B.Claim_Number AND A.Customer_Number = B.Customer_Number
WHERE A.Filled_YearMonth = '201312' AND A.Compound_Ind = 'Y'
This returns exactly the data I'm looking for. The problem is that I now need to join to another table to get information based on a Product_ID. This would be easy if there was only one Product_ID in the Compound_Info table for each record. However, there are 10. So basically I need to SELECT 10 additional columns for Product_Name based on each of those Product_ID's that are being selected already. How can do that? This is what I was thinking in my head, but is not working right.
SELECT
A.*,
B.*,
PD_Info_1.Product_Name,
PD_Info_2.Product_Name,
....etc {Up to 10 Product Names}
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbo.Compound_Info AS B ON A.Claim_Number = B.Claim_Number AND A.Customer_Number = B.Customer_Number
LEFT JOIN Company.dbo.Product_Info AS PD_Info_1 ON B.Product_ID_1 = PD_Info_1.Product_ID
LEFT JOIN Company.dbo.Product_Info AS PD_Info_2 ON B.Product_ID_2 = PD_Info_2.Product_ID
.... {Up to 10 LEFT JOIN's}
WHERE A.Filled_YearMonth = '201312' AND A.Compound_Ind = 'Y'
This query not only doesn't return the correct results, it also takes forever to run. My actual SQL is a lot longer and I've changed table names, etc but I hope that you can get the idea. If it matters, I will be creating a view based on this query.
Please advise on how to select multiple columns from the same table correctly and efficiently. Thanks!
I found put my extra stuff into CTE and add ROW_NUMBER to insure that I get only 1 row that I care about. it would look something like this. I only did for first 2 product info.
WITH PD_Info
AS ( SELECT Product_ID
,Product_Name
,Effective_Date
,ROW_NUMBER() OVER ( PARTITION BY Product_ID, Product_Name ORDER BY Effective_Date DESC ) AS RowNum
FROM Company.dbo.Product_Info)
SELECT A.*
,B.*
,PD_Info_1.Product_Name
,PD_Info_2.Product_Name
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbo.Compound_Info AS B
ON A.Claim_Number = B.Claim_Number
AND A.Customer_Number = B.Customer_Number
LEFT JOIN PD_Info AS PD_Info_1
ON B.Product_ID_1 = PD_Info_1.Product_ID
AND B.Fill_Date >= PD_Info_1.Effective_Date
AND PD_Info_2.RowNum = 1
LEFT JOIN PD_Info AS PD_Info_2
ON B.Product_ID_2 = PD_Info_2.Product_ID
AND B.Fill_Date >= PD_Info_2.Effective_Date
AND PD_Info_2.RowNum = 1
I have query that work for me only when values in the StakeValue don't repeat.
Basically, I need to select maximum values from SI_STAKES table with their relations from two other tables grouped by internal type.
SELECT a.StakeValue, b.[StakeName], c.[ProviderName]
FROM SI_STAKES AS a
INNER JOIN SI_STAKESTYPES AS b ON a.[StakeTypeID] = b.[ID]
INNER JOIN SI_PROVIDERS AS c ON a.[ProviderID] = c.[ID] WHERE a.[EventID]=6
AND a.[StakeGroupTypeID]=1
AND a.StakeValue IN
(SELECT MAX(d.StakeValue) FROM SI_STAKES AS d
WHERE d.[EventID]=a.[EventID] AND d.[StakeGroupTypeID]=a.[StakeGroupTypeID]
GROUP BY d.[StakeTypeID])
ORDER BY b.[StakeName], a.[StakeValue] DESC
Results for example must be:
[ID] [MaxValue] [StakeTypeID] [ProviderName]
1 1,5 6 provider1
2 3,75 7 provider2
3 7,6 8 provider3
Thank you for your help
There are two problems to solve here.
1) Finding the max values per type. This will get the Max value per StakeType and make sure that we do the exercise only for the wanted events and group type.
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
2) Then we need to get only one return back for that value since it may be present more then once.
Using the Max Value, we must find a unique row for each I usually do this by getting the Max ID is has the added advantage of getting me the most recent entry.
SELECT MAX(SMaxID.ID) AS ID
FROM SI_STAKES AS SMaxID
INNER JOIN (
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
) AS SMaxVal ON SMaxID.StakeTypeID = SMaxVal.StakeTypeID
AND SMaxID.StakeValue = SMaxVal.MaxStakeValue
AND SMaxID.EventID = SMaxVal.EventID
AND SMaxID.StakeGroupTypeID = SMaxVal.StakeGroupTypeID
3) Now that we have the ID's of the rows that we want, we can just get that information.
SELECT Stakes.ID, Stakes.StakeValue, SType.StakeName, SProv.ProviderName
FROM SI_STAKES AS Stakes
INNER JOIN SI_STAKESTYPES AS SType ON Stake.[StakeTypeID] = SType.[ID]
INNER JOIN SI_PROVIDERS AS SProv ON Stake.[ProviderID] = SProv.[ID]
WHERE Stake.ID IN (
SELECT MAX(SMaxID.ID) AS ID
FROM SI_STAKES AS SMaxID
INNER JOIN (
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
) AS SMaxVal ON SMaxID.StakeTypeID = SMaxVal.StakeTypeID
AND SMaxID.StakeValue = SMaxVal.MaxStakeValue
AND SMaxID.EventID = SMaxVal.EventID
AND SMaxID.StakeGroupTypeID = SMaxVal.StakeGroupTypeID
)
You can use the over clause since you're using T-SQL (hopefully 2005+):
select distinct
a.stakevalue,
max(a.stakevalue) over (partition by a.staketypeid) as maxvalue,
b.staketypeid,
c.providername
from
si_stakes a
inner join si_stakestypes b on
a.staketypeid = b.id
inner join si_providers c on
a.providerid = c.id
where
a.eventid = 6
and a.stakegrouptypeid = 1
Essentially, this will find the max a.stakevalue for each a.staketypeid. Using a distinct will return one and only one row. Now, if you wanted to include the min a.id along with it, you could use row_number to accomplish this:
select
s.id,
s.maxvalue,
s.staketypeid,
s.providername
from (
select
row_number() over (order by a.stakevalue desc
partition by a.staketypeid) as rownum,
a.id,
a.stakevalue as maxvalue,
b.staketypeid,
c.providername
from
si_stakes a
inner join si_stakestypes b on
a.staketypeid = b.id
inner join si_providers c on
a.providerid = c.id
where
a.eventid = 6
and a.stakegrouptypeid = 1
) s
where
s.rownum = 1