![]() ![]() If it finds that a deadlock situation might occur, then that transaction is never allowed to be executed. The DBMS inspects the operations and analyzes if they can create a deadlock situation. To prevent any deadlock situation in the system, the DBMS aggressively inspects all the operations, where transactions are about to execute. In case a system is stuck in a deadlock, the transactions involved in the deadlock are either rolled back or restarted. This situation is known as a deadlock.ĭeadlocks are not healthy for a system. In this situation, none of the processes can finish their task. Thus, all the processes wait for each other to release resources. T 2 is waiting for resource Z, which is held by T 0. Resource X is held by T 1, and T 1 is waiting for a resource Y, which is held by T 2. T 0 needs a resource X to complete its task. Wo.ProductList.Any(x => x.().Contains( a multi-process system, deadlock is an unwanted situation that arises in a shared resource environment, where a process indefinitely waits for a resource that is held by another process.įor example, assume a set of transactions. Wo.LocationName.ToLower().Contains(()) || ![]() !string.IsNullOrEmpty(wo.AssignedToUserId) & (wo.().Contains(()) || wo.().Contains(())) || !string.IsNullOrEmpty(wo.Customer.Company) & wo.().Contains(()) || & (completedOnTo = null || DbFunctions.TruncateTime(wo.CompletedDate) = oneYearBack & ( & (completedOnFrom = null || DbFunctions.TruncateTime(wo.CompletedDate) >= completedOnFrom) & (string.IsNullOrEmpty(filter.CompletedByUserId) || wo.CompletedByUserId = filter.CompletedByUserId) & (filter.ProductId = null || wo.ProductList.Any(x => x.ProductId = & x.Status != Status.Deleted)) & (filter.CustomerId = null || wo.CustomerId = ) & (filter.Id = null || wo.Id = filter.Id.Value) Include(wo => wo.ProductList.Select(wop => wop.Product)) Include(t => t.FertilizerData.Select(x => x.CleanType)) Repository: var workOrders = ApplicationContext.WorkOrders Var workOrders = (clientId, filter, orderByIndex, orderDirection) Service: using var unitOfWork = new UnitOfWork() Filter(clientId, filterViewModel, out recordsTotal, request.Start, request.Length, order?.Column, order?.Dir) Let me show some code, the structure is API Controller -> Service -> Repository -> UnitOfWork:Ĭontroller: workOrdersList = AppService.WorkOrders I am now thinking about the other option, using the scope at query level, but because I use UnitOfWork I am not sure if it will cause a conflict?Īlso I am no entirely sure what I should wrap in the scope. I tested it from the frontend and the time to consume the same API (that executes the query that randomly locks the table) went from 530ms to 1.2s (with the "SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED ". Thanks Huang-MSFT that's also what I found but was wondering about any downside of setting it on context level. Note: Please follow the steps in our documentation to enable e-mail notifications if you want to receive the related email notification for this thread. If you have extra questions about this answer, please click "Comment". If the answer is the right solution, please click " Accept Answer" and kindly upvote it. Using (TransactionScope scope = new TransactionScope(TransactionScopeOption.Required, newTransactionOptions )) Using transaction scope we can set transaction Isolation Level for current transaction. You can also use read uncommitted at the transaction level:ĭBContext or Object context also supports explicitly setting the transaction on the context. Database.ExecuteSqlCommand("SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED ") ExampleĮntities.ExecuteStoreCommand("SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED ") Įntities. It would affect generated LINQ to Entity queries. We can set Isolation Level using the ExecuteStoreCommand method of the context. The method you provide should use read uncommitted transaction at Context Level. A deadlock occurs when two or more tasks permanently block each other by each task having a lock on a resource which the other tasks are trying to lock.Įntity Framework uses the SQL Server transaction isolation level by default. ![]()
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