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So, remember: stop doing row-by-row (slow-by-slow) operations when you could run the same operation in bulk, in a single SQL statement. Hint: Always know what your ORM (if you're using one) is doing, because the ORM can help you with automatic batching/bulking in many cases. Something that has been said many times, but needs constant repeating until every developer is aware of its importance, is the performance difference between row-by-row updating and bulk updating. Let me ask this differently: The best way to find out is to benchmark.
Buttons within a Grid View control can also invoke some of the built-in functionality of the control.
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The event handler receives an argument of type Mimer Row Updating Event Args containing data related to this event.
Let's say we have a simple table for our blog posts (using Oracle syntax, but the effect is the same on all databases): CREATE TABLE post ( id INT NOT NULL PRIMARY KEY, text VARCHAR2(1000) NOT NULL, archived NUMBER(1) NOT NULL CHECK (archived IN (0, 1)), creation_date DATE NOT NULL ); CREATE INDEX post_creation_date_i ON post (creation_date); statement is probably better than looping over each individual row and updating each individual row explicitly. Showing the time it takes for each statement type to complete, each time updating 3649 / 10000 rows.
The winner is: Statement 1, running a bulk update It looks like this: We'd get far worse results for larger tables!