7.5.9.7 How to cope with deadlocks?

Deadlocks are a classic problem in transactional databases, but they are not dangerous, unless they are so frequent that you cannot run certain transactions at all. Normally you have to write your applications so that they are always prepared to re-issue a transaction if it gets rolled back because of a deadlock.

InnoDB uses automatic row level locking. You can get deadlocks even in the case of transactions which just insert or delete a single row. That is because these operations are not really 'atomic': they automatically set locks on the (possibly several) index records of the row inserted/deleted.

You can cope with deadlocks and reduce the number of them with the following tricks:

• Use SHOW INNODB STATUS in MySQL versions >= 3.23.52 and >= 4.0.3 to determine the cause of the latest deadlock. That can help you to tune your application to avoid deadlocks.
• Always be prepared to re-issue a transaction if it fails in a deadlock. Deadlocks are not dangerous. Just try again.
• Commit your transactions often. Small transactions are less prone to collide.
• If you are using locking reads SELECT ... FOR UPDATE or ... LOCK IN SHARE MODE, try using a lower isolation level READ COMMITTED.
• Access your tables and rows in a fixed order. Then transactions will form nice queues, and do not deadlock.
• Add well-chosen indexes to your tables. Then your queries need to scan fewer index records and consequently set fewer locks. Use EXPLAIN SELECT to determine that MySQL picks appropriate indexes for your queries.
• Use less locking: if you can afford a SELECT to return data from an old snapshot, do not add the clause FOR UPDATE or LOCK IN SHARE MODE to it. Using READ COMMITTED isolation level is good here, because each consistent read within the same transaction reads from its own fresh snapshot.
• If nothing helps, serialize your transactions with table level locks: LOCK TABLES t1 WRITE, t2 READ, ... ; [do something with tables t1 and t2 here]; UNLOCK TABLES. Table level locks make you transactions to queue nicely, and deadlocks are avoided. Note that LOCK TABLES implicitly starts a transaction, just like the command BEGIN, and UNLOCK TABLES implicitly ends the transaction in a COMMIT.
• Another solution to serialize transactions is to create an auxiliary 'semaphore' table where there is just a single row. Each transaction updates that row before accessing other tables. In that way all transactions happen in a serial fashion. Note that then also the InnoDB instant deadlock detection algorithm works, because the serializing lock is a row level lock. In MySQL table level locks we have to resort to the timeout method to resolve a deadlock.

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