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Bromberg's Optmistic Concurrency Updating Logic for a brief look at a number of options). NET Typed Data Set provides one implementation that can be configured with just the tick of a checkbox.

Enabling optimistic concurrency for a Table Adapter in the Typed Data Set augments the Table Adapter's statement, for example, updates the name and price of a product only if the current database values are equal to the values that were originally retrieved when updating the record in the Grid View.

For example, if a user locks a record for editing and then leaves for the day before unlocking it, no other user will be able to update that record until the original user returns and completes his update.

Therefore, in situations where pessimistic concurrency is used, there's typically a timeout that, if reached, cancels the lock.

Since we used ad-hoc SQL queries in our original DAL, use this option here as well.

Note We won't look at pessimistic concurrency examples in this tutorial series.

Pessimistic concurrency is rarely used because such locks, if not properly relinquished, can prevent other users from updating data.

Figure 1: When Two Users Simultaneously Update a Record There s Potential for One User 's Changes to Overwrite the Other 's (Click to view full-size image) Similarly, when two users are visiting a page, one user might be in the midst of updating a record when it is deleted by another user.

Or, between when a user loads a page and when they click the Delete button, another user may have modified the contents of that record.

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