Using (var dbContext = new IDBDataContext())Īuthor author = (12) Īuthor.Address = 'Hyderabad, Telengana, INDIA' The following code snippet illustrates how this can be achieved. Once reloaded with the updated data, you can attempt to persist your entity again in the database. To resolve optimistic concurrency conflicts, you can take advantage of the Reload method to update the current values in your entity residing in the memory with the recent values in the database. If you have a property that is marked using Timestamp, the concurrency mode is considered as Fixed which in turn implies that the original value of the property would be considered in the WHERE clause of any updates or deletes of data for that particular entity. While the former implies that no concurrency checks would be performed when updating the entity, the latter implies that the original value of the property will be considered while executing WHERE clauses at the time when updates or deletes of data are done. Now, Entity Framework supports two concurrency modes: None and Fixed. Let's now understand how Entity Framework resolves concurrency conflicts when working in the optimistic concurrency (default mode). Entity Framework doesn't provide support for pessimistic concurrency out of the box. Incidentally, Entity Framework provides support for optimistic concurrency by default. In the optimistic concurrency mode, the last saved record, 'wins.' In this mode, it's assumed that resource conflicts due to concurrent accesses to a shared resource are unlikely, but, not impossible. In the pessimistic concurrency, when a particular record is being updated, all other concurrent updates on the same record will be put on hold until the current operation is complete and the control is relinquished back so that other concurrent operations can continue. Let's now understand how each of these strategies work in Entity Framework. Handling concurrency conflicts in Entity Framework transactions that are dependent on one another and try to access the same resource. Concurrency violations can occur when you have interdependent transactions, i.e. Concurrency handling can be used to maintain data integrity and data consistency when multiple users access the same resource concurrently.

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