Updating a row in db2 uk dating united states
Other common synchronization tasks involve keeping aggregate tables of detailed data or even synchronizing DB2 data with a relational or non-relational remote data source, including remote databases, Web services, flat files, etc.
Fortunately, to help with all of this, IBM has updated DB2 for i 7.1 to include support for the SQL MERGE statement.
I mention this because SQL Server’s implementation of MERGE has the option to delete rows from the target when there is no matching row in the source. Rank By Orders, Last Updated On=CURRENT_TIMESTAMP WHEN NOT MATCHED THEN INSERT (Sales Year, Customer Id, Order Qty, Order Line Value, Number Lines, Rank By Sales, Rank By Orders, Created On) VALUES (Source. Further, when NOT ATOMIC is specified, an additional option to continue processing (i.e., ignore the error) or stop processing is available.
However, it can delete rows from the target in the case where there is a matching row from the source. By default, the statement will run as an ATOMIC statement, that is, all of the modifications must succeed or the entire statement will fail and no changes are made. In this case the statement is processed row by row, and all of the rows successfully processed up to the point of an error will be committed.
Sales Order Id) As Number Orders, SUM(Order Qty) AS Order Qty, SUM(Unit Price*Order Qty*(1-Unit Price Discount)) AS Order Line Value, COUNT(*) AS Number Lines, RANK() OVER(PARTITION BY Customer Id ORDER BY SUM(Unit Price*Order Qty* (1-Unit Price Discount)) DESC) AS Rank By Sales, RANK() OVER(PARTITION BY Customer Id ORDER BY COUNT(DISTINCT SOD.
If temporary employees are not supposed to be in the source data, an error condition can be artificially created using the SIGNAL statement like this: CREATE TABLE Sales Summary By Year ( Sales Year SMALLINT NOT NULL, Customer Id INT NOT NULL, Order Qty INT, Order Line Value DEC(19,4), Number Lines INT, Rank By Sales INT, Rank By Orders INT, Created On TIMESTAMP, Last Updated On TIMESTAMP, CONSTRAINT pk_Sales Summary By Year PRIMARY KEY (Sales Year, Customer Id)) MERGE INTO Sales Summary By Year Target USING ( SELECT YEAR(Order Date) AS Sales Year, Customer Id, COUNT(DISTINCT SOD. Customer Id WHEN MATCHED THEN UPDATE SET Sales Year=Source.
COMM) ELSE IGNORE; Let’s examine the components of MERGE in a little more detail.
The UPDATE statement is used to modify one or several pre-existing records in a database table.
While this example was somewhat trivial, please note that multiple WHEN MATCHED and NOT MATCHED clauses can be specified with additional criteria.
EMPLOYEE AS TARGET SET ROW=(SELECT * FROM SOURCELIB.
Sales Order Id) DESC) AS Rank By Orders FROM Sales Order Detail SOD JOIN Sales Order Header SOH ON SOH. Sales Order Id GROUP BY YEAR(Order Date), Customer Id ) Source ON Target.
Typically, this is an abridged INSERT/VALUES statement.
WHEN NOT MATCHED THEN indicates the operation to be done when a source row does not have a matching row in the target table.