Shorter lived transactions will result in shorter lock lifetimes, which will in turn help to reduce lock contention. How to minimize deadlocks Here are a couple of tips to minimize deadlocks Always try to hold locks for as short a period as possible.
If a session already holds a given advisory lock, additional requests by it will always succeed, even if other sessions are awaiting the lock; this statement is true regardless of whether the existing lock hold and new request are at session level or transaction level.
Once notified, a thread of control must abandon the attempted operation in order to resolve the deadlock. This performance improvement is particularly noticeable if you use hardware that offers multiple CPUs, because the threads can run simultaneously.
Transaction B now requests an exclusive lock on row 1, and is blocked until transaction A finishes and releases the share lock it has on row 1. Be aware that if you are using secondary databases indexesthen locking order is different for reading and writing. Fortunately, instead of allowing the transactions to be blocked forever; SQL server is smart enough to recognize the situation and kill one of the processes so that the other can continue.
For example, if Txn A holds a write lock an exclusive lock on recordthen if Txn B tries to obtain a read or write lock on that record, the thread of control in which Txn B is running is blocked: However, if Txn A only holds a read lock a shared lock on recordthen only those handles that attempt to obtain a write lock on that record will block.
User1 inserts a record. Thus, transaction one is blocked on transaction two, and transaction two is blocked on transaction one: a deadlock condition. Related Content Do you have a Deadlock problem? Other articles in this series:. These locks are released immediately after a row is fetched or updated.
These include trace flags and