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A requirement arises in many systems to update multiple SQL database rows.

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But we can group the updates according to the value being set, and then do one UPDATE statement per distinct value.But if there are a large number of rows that require an update, then the overhead of issuing large numbers of UPDATE statements can result in the operation as a whole taking a long time to complete.The traditional advice for improving performance for multiple UPDATE statements is to “prepare” the required query once, and then “execute” the prepared query once for each row requiring an update.You cannot undo the results of an update query, and making a backup helps make sure that you can reverse your changes if you change your mind.When you need to update data from one table to another, consider the following rule: the data types for the source and destination fields must either match or be compatible.

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