Retry logic is helpful, but having to retry a transaction results in longer end-user response times. The impact of a deadlock on end-users is a mixture of confusion and frustration. You can trap for the deadlock error number using TRY.CATCH logic and then retry the transaction. This allows the current session to continue processing if deadlocked with another session.Ħ. The DEADLOCK_PRIORITY session variable will specify the relative importance the current session. Consider using one of the row-version based isolation levels READ COMMITTED SNAPSHOT or SNAPSHOT.ĥ. Access objects in the same logical order when it makes sense to do so.Ĥ. When writing code, it is useful to keep transactions as short as possible. This can reduce your chances of having deadlocks caused by cascading referential integrity.ģ. Creating indexes to match your foreign key columns. Using a covering index can reduce the chance of a deadlock caused by bookmark lookups.Ģ. Always consult with the application team before making any of these changes.ġ. I've collected a handful of tips and tricks over the years to use to cut the chances deadlocks happen. Once you know there is a deadlock, and you review the deadlock information, you have some options. Resolving a deadlock requires an understanding of why the deadlocks are happening. You need to capture the deadlock details for historical purposes, if desired. Each method will be reset upon a server restart. You could use SQL Server Profiler (or a server trace), as well as Performance Monitor (i.e., Perfmon) counters. There are more ways to discover if deadlocks are happening. Use the following code to examine deadlock details: SELECT XEvent.query('(event/data/value/deadlock)') AS DeadlockGraphįROM ( SELECT XEvent.query('.') AS XEventįROM ( SELECT CAST(target_data AS XML) AS TargetData The default Extended Event system health session will show detailed deadlock information also. If you want the trace flag always enabled, you need to add -T1222 as a startup parameter to your instance. Unfortunately, this trace flag disappears after the next service restart. The details from this trace flag are much easier to understand than the original Klingon returned by T1204. The flag will start logging detailed deadlock information to the error log. If you are experiencing deadlocks and want to turn this on now, simply issue the following statement: DBCC TRACEON (1222, -1) Here is a link to Bart Duncan's blog series that helps to explain deadlocking as well as the use of trace flag T1222. If you are a database developer do not take offense when someone says, "We need to examine the design, the data, and the code." It is a simple fact: Things change over time. Chances are everything worked fine when built, but as the data changes, so could the need for an updated design. Look, no one likes to admit they built something horrible. Blocking and deadlocks can happen on small tables, as well. Oh, and you do not need large tables with indexes to cause a deadlock. Deadlocks are not.Ī typical response to blocking and deadlocking is "Can you update the stats and rebuild indexes so it all goes away?" My answer would be, "Yes. Blocking is to be expected in a relational database. Deadlocking != BlockingĪnother thing worth noting is deadlocking is not the same as blocking. If you believe updating your stats is a way to prevent deadlocks in SQL Server, then you should find a new line of work. (A fine example of where the issue is not the DBAs fault, but it is now their problem.)Īnd before I go any further, let me offer you some advice. It is up to the database administrator to work with the application developer to resolve deadlocks. Every one of the conditions needs someone, somewhere, to be using the database.ĭeadlocks are the result of application code combined with a database schema resulting in access patterns which lead to a cyclical dependency. Certain conditions must exist in order for a deadlock to happen. The database engine does not seize up and start deadlocking transactions because it's tired. Deadlocks can involve more than two transactions, but two is the most common scenario. This is a cyclical dependency and results in a deadlock. And Transaction 2 cannot complete until Transaction 1 is complete. Transaction 1 cannot complete until Transaction 2 is complete. Okay, now Transaction 1 requests a lock on Table B and is blocked by Transaction 2.Īnd Transaction 2 requests a lock on Table A and is blocked by Transaction 1. First, a quick definition and example for those that don't know what deadlocks are inside of a database.Ī deadlock happens when two (or more) transactions block each other by holding locks on resources each of the transactions also needs.
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