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In such case you don't have to use MERGE. Assuming data1 column can be used to check whether the record exists, the following should do the job : INSERT INTO A (data1, data2, dataX) SELECT B.data1, B.data2, B.data3 FROM B b WHERE NOT EXISTS ( SELECT NULL FROM A a WHERE a.data1=b.data1 );


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Table1: A (DATA1, DATA2, DATA3) Table2: B (DATA1, DATA2, DATA3) Assumption: First fieldName of both table is primary key MERGE INTO A TA USING (SELECT * FROM B) TB ON (TA.DATA1 = TB.DATA1) WHEN NOT MATCHED THEN INSERT (TA.DATA1, TA.DATA2, TA.DATA3) VALUES (TB.DATA1, TB.DATA2, TB.DATA3);


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You need to batch the inserts. This is done by means of extended inserts. In your question, you can take the row and make them a single insert as follows: INSERT INTO `test` (`a`, `b`) VALUES (4, 5),(5, 6),(6, 7),(6, 7),(1, 2),(2, 3),(3, 4),(4, 5),(5, 6),(6, 7); Why do it this way ? When you insert into a MEMORY table, there is still some mild disk I/O ...


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I just wanted to give the solution I'm using for anyone who comes across this in the future. This contains the dynamic SQL that Max recommended as well as my query to set up the SET statements: Declare @targcolumns varchar(max), @targtable varchar(50), @sourcecolumns varchar(max), @runmerge nvarchar(max), @setstatement nvarchar(max) SET NOCOUNT ON; set ...


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Instead of typing the entire list of column names, you can simply drag-and-drop the column list from the Object Explorer window in SQL Server Management Studio. In the image below, you drag-and-drop the highlighted section over to the query window: However, if you insist on automatically creating the list of columns, you'll need to run the MERGE command ...


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In SQL, triggers can be fired "per row" or "per statement". SQLite only supports "per row" triggers (hence why your trigger fires once for each row in your INSERT statement), while SQL Server only supports "per statement" triggers (hence why your statement causes a single firing). Other engines (e.g. DB2 and PostgreSQL) support both sorts of trigger which ...



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