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1. Application That Can Deadlock Get
2. Application That Can Deadlock T
3. Application That Can Deadlock Start
4. Application That Can Deadlock

When a thread needs exclusive access to code or some other resource, it requests a lock. If it can, Windows responds by giving this lock to the thread. At this point, nothing else in the system can access the locked code. This happens all the time and is a normal part of any well-written multithreaded application. Although a particular code segment can only have one lock on it at a time, multiple code segments can each have their own lock.

Transaction (Process ID 166) was deadlocked on lock communication buffer resources with another process and has been chosen as the deadlock victim. Rerun the transaction. Troubleshooting Deadlocks. So we have identified Deadlock happened in the database through our Application Insights. Next logical question is, what caused this deadlock. As this forms a circular chain the Circular Wait condition is fulfilled and the application can deadlock. Simply put, if the resources in a system can be numbered (by some arbitrary number) then make sure you grab the resources in order. In the sequence above Confucius grabs 5 before 1 which is, well, out of order. Addressing deadlocks requires tuning of applications, databases, and systems. When deadlocks are a persistent problem, changes in the design of applications and databases may be needed. Monitor, alert, diagnose, and report on deadlocks with SQL Diagnostic Manager for SQL Server.

Your application can detect a deadlock and resubmit its transaction, but a better approach is to resolve a deadlock by changing the conditions that lead to it in the first place. In this article, you'll learn how SQL Server deadlocks arise, what types of deadlocks there are, and how you can resolve them.

The application code does not need to roll back because this SQL code causes the transaction to be rolled back. The application can execute retry logic. 912: The application receives this SQL code when there is a deadlock or timeout. The application code can submit or rollback changes and executes retry logic. Similarly, in a program, deadlock occurs when two or more threads (you and the other person) are waiting for two or more locks (flashlight and batteries) to be freed and the circumstances in the program are such that the locks are never freed (you both have one piece of the puzzle). If you know java. JE is capable of notifying your application when it detects a deadlock. (For JE, this is handled in the same way as any lock conflict that a JE application might encounter.) See Managing Deadlocks and other Lock Conflicts for more information.

A deadlock arises when two or more threads have requested locks on two or more resources, in an incompatible sequence. For instance, suppose that Thread One has acquired a lock on Resource A and then requests access to Resource B. Meanwhile, Thread Two has acquired a lock on Resource B and then requests access to Resource A. Neither thread can proceed until the other thread's lock is relinquished, and, therefore, neither thread can proceed.

User-mode deadlocks arise when multiple threads, usually of a single application, have blocked each other's access to the same resource. However, multiple threads of multiple applications can also block each other's access to a global/shared resource, such as a global event, or semaphore.

Kernel-mode deadlocks arise when multiple threads (from the same process or from distinct processes) have blocked each others' access to the same kernel resource.

The procedure used to debug a deadlock depends on whether the deadlock occurs in user mode or in kernel mode.

Debugging a User-Mode Deadlock

When a deadlock occurs in user mode, use the following procedure to debug it:

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1. Issue the !ntsdexts.locks extension. In user mode, you can just type !locks at the debugger prompt; the ntsdexts prefix is assumed.

2. This extension displays all the critical sections associated with the current process, along with the ID for the owning thread and the lock count for each critical section. If a critical section has a lock count of zero, it is not locked. Use the ~ (Thread Status) command to see information about the threads that own the other critical sections.

3. Use the kb (Display Stack Backtrace) command for each of these threads to determine whether they are waiting on other critical sections.

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4. Using the output of these kb commands, you can find the deadlock: two threads that are each waiting on a lock held by the other thread. In rare cases, a deadlock could be caused by more than two threads holding locks in a circular pattern, but most deadlocks involve only two threads.

Here is an illustration of this procedure. You begin with the !ntdexts.locks extension:

Application That Can Deadlock Get

The first critical section displayed has no locks and, therefore, can be ignored.

The second critical section displayed has a lock count of 2 and is, therefore, a possible cause of a deadlock. The owning thread has a thread ID of 0xA3.

Application That Can Deadlock T

You can find this thread by listing all threads with the ~ (Thread Status) command, and looking for the thread with this ID:

In this display, the first item is the debugger's internal thread number. The second item (the Id field) contains two hexadecimal numbers separated by a decimal point. The number before the decimal point is the process ID; the number after the decimal point is the thread ID. In this example, you see that thread ID 0xA3 corresponds to thread number 4.

Application That Can Deadlock Start

You then use the kb (Display Stack Backtrace) command to display the stack that corresponds to thread number 4:

Notice that this thread has a call to the WaitForCriticalSection function, which means that not only does it have a lock, it is waiting for code that is locked by something else. We can find out which critical section we are waiting on by looking at the first parameter of the call to WaitForCriticalSection. This is the first address under Args to Child: '24e750'. So this thread is waiting on the critical section at address 0x24E750. This was the third critical section listed by the !locks extension that you used earlier.

In other words, thread 4, which owns the second critical section, is waiting on the third critical section. Now turn your attention to the third critical section, which is also locked. The owning thread has thread ID 0xA9. Returning to the output of the ~ command that you saw previously, note that the thread with this ID is thread number 6. Display the stack backtrace for this thread:

This thread, too, is waiting for a critical section to be freed. In this case, it is waiting on the critical section at 0x68629100. This was the second critical section in the list generated earlier by the !locks extension.

This is the deadlock. Thread 4, which owns the second critical section, is waiting on the third critical section. Thread 6, which owns the third critical section, is waiting on the second critical section.

Having confirmed the nature of this deadlock, you can use the usual debugging techniques to analyze threads 4 and 6.

Debugging a Kernel-Mode Deadlock

There are several debugger extensions that are useful for debugging deadlocks in kernel mode:

• The !kdexts.locks extension displays information about all locks held on kernel resources and the threads holding these locks. (In kernel mode, you can just type !locks at the debugger prompt; the kdexts prefix is assumed.)

• The !qlocks extension displays the state of all queued spin locks.

• The !wdfkd.wdfspinlock extension displays information about a Kernel-Mode Driver Framework (KMDF) spin-lock object.

• The !deadlock extension is used in conjunction with Driver Verifier to detect inconsistent use of locks in your code that have the potential to cause deadlocks.

When a deadlock occurs in kernel mode, use the !kdexts.locks extension to list all the locks currently acquired by threads.

Application That Can Deadlock

You can usually pinpoint the deadlock by finding one non-executing thread that holds an exclusive lock on a resource that is required by an executing thread. Most of the locks are shared.