This section builds on the conceptual information about deadlocks in Section 14.2.11, “Deadlock Detection and Rollback”. It explains how to organize database operations to minimize deadlocks and the subsequent error handling required in applications.
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 must 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 that 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 or
You can cope with deadlocks and reduce the likelihood of their occurrence with the following techniques:
At any time, issue the
INNODB STATUS command to determine the cause of the
most recent deadlock. That can help you to tune your
application to avoid deadlocks.
If frequent deadlock warnings cause concern, collect more
extensive debugging information by restarting the server with
configuration option enabled. Information about each deadlock,
not just the latest one, is recorded in the MySQL
error log. Remove this
option and restart the server again once the debugging is
Always be prepared to re-issue a transaction if it fails due to deadlock. Deadlocks are not dangerous. Just try again.
Commit your transactions immediately after making a set of related changes. Small transactions are less prone to collision. In particular, do not leave an interactive mysql session open for a long time with an uncommitted transaction.
When modifying multiple tables within a transaction, or
different sets of rows in the same table, do those operations
in a consistent order each time. Then transactions form
well-defined queues and do not deadlock. For example, organize
database operations into functions within your application, or
call stored routines, rather than coding multiple similar
statements in different places.
Add well-chosen indexes to your tables. Then your queries need
to scan fewer index records and consequently set fewer locks.
SELECT to determine which indexes the MySQL server
regards as the most appropriate for your queries.
Use less locking. If you can afford to permit a
SELECT to return data from an
old snapshot, do not add the clause
LOCK IN SHARE MODE to
it. Using the
COMMITTED isolation level is good here, because each
consistent read within the same transaction reads from its own
If nothing else helps, serialize your transactions with
table-level locks. The correct way to use
LOCK TABLES with transactional
tables, such as
InnoDB tables, is to begin
a transaction with
SET autocommit = 0 (not
TRANSACTION) followed by
TABLES, and to not call
TABLES until you commit the transaction explicitly.
For example, if you need to write to table
t1 and read from table
t2, you can do this:
SET autocommit=0; LOCK TABLES t1 WRITE, t2 READ, ...;
... do something with tables t1 and t2 here ...COMMIT; UNLOCK TABLES;
Table-level locks prevent concurrent updates to the table, avoiding deadlocks at the expense of less responsiveness for a busy system.
Another way to serialize transactions is to create an
auxiliary “semaphore” table that contains just a
single row. Have each transaction update that row before
accessing other tables. In that way, all transactions happen
in a serial fashion. Note that the
instant deadlock detection algorithm also works in this case,
because the serializing lock is a row-level lock. With MySQL
table-level locks, the timeout method must be used to resolve