Reputation: 139
I have a table that stores two values; 'total' and 'owing' for each customer. Data is uploaded to the table using two files, one that brings in 'total' and the other brings in 'owing'. This means I have two records for each customerID:
customerID:--------Total:--------- Owing:
1234---------------- 1000----------NULL
1234-----------------NULL-----------200
I want to write a stored procedure that merges the two records together:
customerID:--------Total:--------- Owing:
1234---------------- 1000----------200
I have seen examples using COALESCE so put together something like this:
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
--Variable declarations
DECLARE @customer_id varchar(20)
DECLARE @total decimal(15,8)
DECLARE @owing decimal(15,8)
DECLARE @customer_name_date varchar(255)
DECLARE @organisation varchar(4)
DECLARE @country_code varchar(2)
DECLARE @created_date datetime
--Other Variables
DECLARE @totals_staging_id int
--Get the id of the first row in the staging table
SELECT @totals_staging_id = MIN(totals_staging_id)
from TOTALS_STAGING
--iterate through the staging table
WHILE @totals_staging_id is not null
BEGIN
update TOTALS_STAGING
SET
total = coalesce(@total, total),
owing = coalesce(@owing, owing)
where totals_staging_id = @totals_staging_id
END
END
Any Ideas?
Upvotes: 0
Views: 525
Reputation: 403
This should work:
SELECT CustomerID,
COALESCE(total1, total2) AS Total,
COALESCE(owing1, owing2) AS Owing
FROM
(SELECT row1.CustomerID AS CustomerID,
row1.Total AS total1,
row2.Total AS total2,
row1.Owing AS owing1,
row2.Owing AS owing2
FROM YourTable row1 INNER JOIN YourTable row2 ON row1.CustomerID = row2.CustomerID
WHERE row1.Total IS NULL AND row2.Total IS NOT NULL) temp
--Note: Alter the WHERE clause as necessary to ensure row1 and row2 are unique.
...but note that you'll need some mechanism to ensure row1 and row2 are unique. My WHERE clause is an example based on the data you provided. You'll need to tweak this to add something more specific to your business rules.
Upvotes: 0
Reputation: 2080
Try this :
CREATE TABLE #Temp
(
CustomerId int,
Total int,
Owing int
)
insert into #Temp
values (1024,100,null),(1024,null,200),(1025,10,null)
Create Table #Final
(
CustomerId int,
Total int,
Owing int
)
insert into #Final
values (1025,100,50)
MERGE #Final AS F
USING
(SELECT customerid,sum(Total) Total,sum(owing) owing FROM #Temp
group by #Temp.customerid
) AS a
ON (F.customerid = a.customerid)
WHEN MATCHED THEN UPDATE SET F.Total = F.Total + isnull(a.Total,0)
,F.Owing = F.Owing + isnull(a.Owing,0)
WHEN NOT MATCHED THEN
INSERT (CustomerId,Total,Owing)
VALUES (a.customerid,a.Total,a.owing);
select * from #Final
drop table #Temp
drop table #Final
Upvotes: 0
Reputation: 2665
SELECT t1.customerId, t1.total, t2.owing FROM test t1 JOIN test t2 ON ( t1.customerId = t2.customerId) WHERE t1.total IS NOT NULL AND t2.owing IS NOT NULL
Wondering why aren't you just using UPDATE
on a second file execution?
Upvotes: 1
Reputation: 33849
Except for COUNT, aggregate functions ignore null values. Aggregate functions are frequently used with the GROUP BY clause of the SELECT statement. MSDN
So you don't need to worry about null values with summing. Following will give your merging records together. Fiddle-demo
select customerId,
sum(Total) Total,
sum(Owing) Owing
from T
Group by customerId
Upvotes: 0