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This section builds on the conceptual information about deadlocks in Section 14.2.3.9, "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 deleted.
You can cope with deadlocks and reduce the likelihood of their occurrence with the following techniques:
At any time, issue the SHOW ENGINE 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 the innodb_print_all_deadlocks
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 finished.
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.
If you use locking reads (SELECT ... FOR UPDATE
or SELECT ... LOCK IN SHARE
MODE
), try using a lower isolation level such as READ COMMITTED
.
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 sequences of INSERT
, UPDATE
, and DELETE
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. Use EXPLAIN
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 FOR UPDATE
or LOCK IN SHARE MODE
to it. Using
the READ
COMMITTED
isolation level is good here, because each consistent read within the same
transaction reads from its own fresh snapshot.
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 START TRANSACTION
) followed by LOCK TABLES
, and to not call UNLOCK 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 InnoDB
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 deadlocks.