I suppose this issue applies to deadlocks, live-locks, or just lock wait timeouts.
I'm trying to figure out what query is causing a lock that is preventing another query from executing. Oracle has (if memory serves) a LOCK table that you can join onto itself to determine which queries are locking others. I need a way to accomplish the same this in MySQL.
The scenario is that we have long-running jobs that occasionally create a nested transaction that updates the progress field. That way, we're not losing the transactional-ness of the work while keeping the user informed of the progress (i.e. percent complete). The nested transaction sometimes throws a lock timeout exception.
This is very odd, since none of the other work should write - or even read - from the Job table. Sifting through the raw SQL log confirms this. Here is the transaction section from SHOW ENGINE INNODB STATUS:
------------
TRANSACTIONS
------------
Trx id counter 0 479427
Purge done for trx's n:o < 0 479425 undo n:o < 0 0
History list length 19
LIST OF TRANSACTIONS FOR EACH SESSION:
---TRANSACTION 0 0, not started, OS thread id 3192
MySQL thread id 31, query id 17417 localhost 127.0.0.1 root
show engine innodb status
---TRANSACTION 0 0, not started, OS thread id 3776
MySQL thread id 29, query id 13062 localhost 127.0.0.1 root
---TRANSACTION 0 479190, not started, OS thread id 2540
MySQL thread id 23, query id 16103 localhost 127.0.0.1 testuser
---TRANSACTION 0 479422, not started, OS thread id 2536
MySQL thread id 19, query id 17338 localhost 127.0.0.1 testuser
---TRANSACTION 0 479194, not started, OS thread id 2528
MySQL thread id 20, query id 16103 localhost 127.0.0.1 testuser
---TRANSACTION 0 479189, not started, OS thread id 2776
MySQL thread id 22, query id 16103 localhost 127.0.0.1 testuser
---TRANSACTION 0 479426, ACTIVE 3 sec, OS thread id 2544 starting index read
mysql tables in use 1, locked 1
LOCK WAIT 2 lock struct(s), heap size 320, 1 row lock(s)
MySQL thread id 18, query id 17414 localhost 127.0.0.1 testuser Updating
update Job set progress=0.000482780829770491 where id=28
------- TRX HAS BEEN WAITING 3 SEC FOR THIS LOCK TO BE GRANTED:
RECORD LOCKS space id 0 page no 23927 n bits 72 index "PRIMARY" of table "test"."job" trx id 0 479426 lock_mode X locks rec but not gap waiting
Record lock, heap no 5 PHYSICAL RECORD: n_fields 12; compact format; info bits 0
0: len 8; hex 000000000000001c; asc ;; 1: len 6; hex 0000000750bf; asc P ;; 2: len 7; hex 0000005d4d2aeb; asc ]M* ;; 3: len 8; hex 0000000000000005; asc ;; 4: len 8; hex 0000000000000004; asc ;; 5: len 8; hex 0000000000000006; asc ;; 6: len 1; hex 49; asc I;; 7: len 14; hex 800000000000000002749e0e51a6; asc t Q ;; 8: len 30; hex 3c6d61703e0a20203c656e7472793e0a202020203c737472696e673e7061; asc <map> <entry> <string>pa;...(truncated); 9: len 8; hex 80001245d33e7e3c; asc E >~<;; 10: SQL NULL; 11: SQL NULL;
------------------
---TRANSACTION 0 479418, ACTIVE 31 sec, OS thread id 960
14 lock struct(s), heap size 1024, 8 row lock(s), undo log entries 3
MySQL thread id 21, query id 17404 localhost 127.0.0.1 testuser
It appears clear that there are only two transactions, and that one of the 14 locks of transaction 479418 is blocking transaction 479426. I would love to know what the offending query is. Any ideas? Even listing the 14 locks and the queries that caused them would be great.
Thanks!
Third option to prevent table locks with MySQL database is to use AUTOCOMMIT on the database level. This will prevent table locks from occurring unintentionally during report execution since all the transactions are committed after they are executed without additional commit commands.
The most common reason implicit locks are created is an INSERT operation: successfully inserted rows are not visible to other transactions until the inserting transaction commits, and it is a common situation that a single transaction inserts many rows, so it is cheaper to not create explicit locks for newly inserted ...
You can implicitly release the table locks. If the connection to the server terminates explicitly or implicitly all the locks will be released. You can release the locks of a table explicitly using the UNLOCK TABLES statement.
A MySQL Locks is nothing but a flag that can be assigned to a table to alter its properties. MySQL allows a table lock that can be assigned by a client-server to prevent other sessions from being able to access the same table during a specific time frame.
If your queries are waiting up to three seconds, that would make them easy to capture in the slow-query-log. Another suggestion that Xaprb writes is to use InnoTop. There is a S.O. post on a similar InnoDB lock issue.
However, you might want to review the code and look for places where you are doing a whole table select. For example, if you have a table work items and you want to select those that are pending, doing a
SELECT * FROM queue WHERE status = 'pending' ORDER BY create_date LIMIT 1`
could be triggering a temp-file-sort condition that will occupy the whole table if it is in a transaction. Adding FOR UPDATE
to the select could help it acquire the lock better. Apparently, clustering primary keys can help.
In my environment, my query connection will report an error on a transaction lock issue, so I see errors like: Deadlock found when trying to get lock; try restarting transaction
. You might have to check for warnings if your query is actually failing. (This might not help if you can't change how the application reports query failures.)
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