SQLUNINTERRUPTED

I am just a medium, SQL Server the Goal

Did you Know- You can perform multiple Insert, update or delete operations as a Singleton operation using the SQL 2008 MERGE operator

The Merge statement in SQL Server 2008 can be used to perform multiple inserts, update and delete operations. Assume for example, in your organization you have a Source Table and a destination table. Everyday at the end of the business, data from the Source table is appended to the Target table. With SQL 2000/SQL 2005, the only way of doing this optimally (assuming that the tables are very large) was to find the Delta of all the changes in the source table and then update the same in the target table. The problem was that you would have to write your own logic or use other SQL Features like SSIS or CDC for finding the delta and then updating the target table.

With the Merge statement you can do the same without much hassles. We can also use the Merge statement in an SSIS package or a job to automate the entire sequence.

Using the MERGE Statement

Syntax for the MERGE statement is simple to understand. First we have the Target table specified by the INTO clause, followed by the Source Table specified with the USING clause. Then we have the Join parameters. The join parameters are important, because this is what will govern which records are to be inserted or deleted or updated in the target table. Then we have the WHEN clause to define the criteria for INSERT, UPDATE and DELETE.

MERGE
[ TOP ( expression ) [ PERCENT ] ]
[ INTO ] target_table [ WITH ( <merge_hint> ) ] [ [ AS ] table_alias]
USING <table_source>
ON <merge_search_condition>
[ WHEN MATCHED [ AND <clause_search_condition> ]
THEN <merge_matched> ]
[ WHEN NOT MATCHED [ BY TARGET ] [ AND <clause_search_condition> ]
THEN <merge_not_matched> ]
[ WHEN NOT MATCHED BY SOURCE [ AND <clause_search_condition> ]
THEN <merge_matched> ]
[ <output_clause> ]
[ OPTION ( <query_hint> [ ,…n ] ) ]
;

For example, assume that your organization maintains 2 tables, one for daily purchases and another for Reporting which has the last purchase date and the total amount of purchases made by each customer.

Use tempdb
Go

Create table PurchaseReporting
(
CustomerID int,
LastPurchaseDate Datetime2,
Amount Smallmoney,
)
Go

Create Table DailyPurchases
(
CustomerID int,
productID int,
Amount Money
)
Go

Insert into PurchaseReporting values (1, GETDATE(), $1000),
(2,getdate(), $2000),
(3,getdate(), $500),
(4, GETDATE(), $700)

— In the Reporting table we have 4 records for 4 different customer to indicate
— the last purchase date and the total amount of purchased goods.

Insert into DailyPurchases values(1, 2, $100),
(1,10,$20),
(3,30,$200),
(2,4,$20),
(2,15,$300),
(4,5,$500),
(5,10,$1500)

— In the Daily purchases table we have the 7 records to indicate the products purchased
— by different customers.

select * from PurchaseReporting
go
Select * from DailyPurchases
go

image

— Now lets write our Merge statement to update all the changes to the Reporting Table

MERGE PurchaseReporting as SR
Using
(Select CustomerID, getdate(), Sum(Amount) from
    DailyPurchases
    GROUP BY CustomerID) as DS(CustomerID, PurchaseDate, TotalAmount)
On SR.CustomerId = DS.CustomerID
WHEN MATCHED THEN
UPDATE SET SR.LastPurchaseDate = DS.PurchaseDate, SR.Amount = (SR.Amount + DS.TotalAmount)
WHEN NOT MATCHED THEN
INSERT values (DS.CustomerID, DS.PurchaseDate, DS.TotalAmount);

–After execution lets check the values of the Reporting Table Again

select * from PurchaseReporting

image

Notice the changes in the LastPurchaseDate and the Amount columns for the customer (1,2,3,4) and a new record with CustomerID 5 being inserted into the table.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: