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Speed Up Your SQL Inserts : Page 4

Traditionally, database performance has been represented by the speed of data retrieval, but that is not always the case. In some situations, database performance relies on the speed of data inserts.


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Some Limitations

The many-rows insert has one serious side effect. It can lock a table for a long time, which is unacceptable in multi-user environments. However, this is not the case in the example scenario, where you insert just a few hundred rows in one shot. That can't cause the locking problem.

The 8,000-byte limit to the length of a varchar variable produces another inconvenience. However, you can solve that problem by storing incoming strings in a separate table and running another process that checks for the completed sets of the strings that belong to the same survey and user submission. Then you can insert such a set into the working table asynchronously.

In SS2005, where the varchar(max) data type can store up to 2 GB, you have much more flexibility. You can adjust the length of the string to any size up to 2 GB and try to get the optimal performance of the string inserts.



One last note: validate data in the body of your stored procedures. Although it will make your stored procedures heavier, your string inserts still will be much faster than repetitive one-row inserts.



Alex Kozak is a senior DBA/analyst working for SAP Canada. He has more than 15 years of database and programming experience. Microsoft has included some of his articles in the MSDN Library.
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