Generally speaking this option is a longer-lasting solution, but takes longer to implement and is much more difficult to test during development and quality assurance.įinally, you can change the transaction's isolation mode so that it is less aggressive about the locks it requests. This is done outside of SQL and is a programming language-specific detail, so an example will not be provided. If you expect a deadlock may occur in some scenarios, you can look for deadlock exceptions and retry the query in question up to a certain number of times until a success is reached. In combination with the other modes, you can design routines with deadlocks in mind. For example, if a query needs to scan a table to find a particular row or set of rows, the query might lock the table or a page of data when locking individual rows would be more efficient.īy default all transactions will have a priority of NORMAL or 0.īear in mind that this does not prevent the deadlock from occurring, but it does state a preference for which query will survive and which will be terminated. Sometimes the objects locked are wider than they need to be. There are a few ways of approaching deadlock problems, and I present to you a few options from most preferred to least preferred.įirst of all, deadlocks are a result of objects being locked. So now that we've looked into what deadlocks are and how you get basic information about them, we need to shift our focus to resolving those deadlocks. but at its core, it is just telling you that two queries needed the same two locks and couldn't resolve their differences. The range of information on the database objects in a deadlock graph is much deeper in terms of IDs, object names, index names, lock types, etc. Note the similarities in the deadlock graph to our examples above. The XML can then be opened via SQL Server Management Studio by clicking on it, which will then open the deadlock graph. You can run the following query to get a list of deadlock event XML and the time the deadlock occurred (Query and image taken from Microsoft's documentation).Įnter fullscreen mode Exit fullscreen mode We'll talk more about how to deal with deadlocks later on, but next, let's look at how to get deadlock information from SQL Server. Meanwhile, the locks held by the query are released and Update User Skill Count is able to acquire the lock it needed and complete without any knowledge that anything happened. An exception propagated up to the caller informing it that the process was terminated due to deadlock. In this case, the Update PersonSkill query was chosen as the deadlock victim and terminated. In deadlock resolution, SQL Server will choose a victim at random (more on this later) and kill the process. Thankfully, SQL Server has a deadlock resolution mechanism to prevent processes from keeping the database busy waiting for something that will never happen. However, the Update User Skill Count is currently waiting for Update PersonSkill to complete and release its lock on PersonSkills so we now have a scenario where two queries each have something the other needs and will not release their locks until they complete. Ordinarily, the Update User Skill Count query would complete, release its lock and then the Update PersonSkill query could acquire its lock on People and complete its task. Unfortunately, the row in question in the People table is already exclusively locked by the Update User Skill Count query, creating a deadlock. In order to do this, the query needs a lock on the People table and a lock on a range of data in the PersonSkill table, which the query already has a lock for. In this scenario, we have a query that needs to update a People entry as well as a PersonSkill entry associated with that person and a skill. The error is then propagated to the executing code which can determine how to proceed. When this occurs, SQL Server must terminate one of the two processes, resulting in the query failing to execute and the transaction failing. This article discusses what deadlocks are, how to interpret deadlock graphs, and some options for handling deadlocks.Ī deadlock occurs when two processes are competing for multiple resources in a way that does not resolve itself. When you work with SQL Server long enough on a database with enough traffic, you're eventually going to encounter deadlocks. This is a continuation of a series of articles I've written on SQL Server concepts.
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