I have problem with really simple INSERT / UPDATES on my server. From time to time it takes more than few second to finish query like this ones:
2.1062s - INSERT INTO `transaction` SET `idUser` = 72, `currency` = 50, `amount` = '10', `action` = 'buyCoins';
11.785s - UPDATE `user` SET `cash` = 10, `crystal` = 10, `expPoints` = 10, `energy` = 10 WHERE idUser = 72;
0.6296s - UPDATE `user` SET `lastEnergyUpdate` = CURRENT_TIMESTAMP WHERE idUser = 72;
It looks like issue isn't depending on specific table. I don't have TRIGGERS on those tables.
Table definitions:
CREATE TABLE `user` (
`idUser` int(10) unsigned NOT NULL AUTO_INCREMENT,
`expPoints` int(10) NOT NULL DEFAULT '0',
`cash` int(10) NOT NULL DEFAULT '1000',
`crystal` int(10) NOT NULL DEFAULT '10',
`energy` int(4) NOT NULL DEFAULT '0',
`name` varchar(50) DEFAULT NULL,
`surname` varchar(50) DEFAULT NULL,
`age` int(4) unsigned DEFAULT NULL,
`sex` enum('men','women','unknown') DEFAULT NULL,
`lastEnergyUpdate` timestamp NULL DEFAULT NULL,
`lastLogin` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`insertDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`idUser`),
UNIQUE KEY `serviceUnique` (`serviceName`,`serviceId`)
) ENGINE=InnoDB AUTO_INCREMENT=5333 DEFAULT CHARSET=utf8
CREATE TABLE `transaction` (
`idTransaction` int(10) NOT NULL AUTO_INCREMENT,
`idUser` int(10) unsigned NOT NULL,
`currency` enum('crystal','partnerCurrency','cash') DEFAULT NULL,
`amount` int(5) NOT NULL,
`action` enum('unlockPlace','buyExtra','collectReleased') NOT NULL,
`insertDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`idTransaction`),
KEY `fk_transaction_user1` (`idUser`),
CONSTRAINT `fk_transaction_user1` FOREIGN KEY (`idUser`) REFERENCES `user` (`idUser`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=156329 DEFAULT CHARSET=utf8
On same server I have more databases (~100) but nothing big. Dump of all databases is around 300MB.
Mysqltunner output:
>> MySQLTuner 1.0.1 - Major Hayden <[email protected]>
>> Bug reports, feature requests, and downloads at http://mysqltuner.com/
>> Run with '--help' for additional options and output filtering
-------- General Statistics --------------------------------------------------
[--] Skipped version check for MySQLTuner script
[OK] Currently running supported MySQL version 5.1.66-0ubuntu0.11.10.2-log
[OK] Operating on 64-bit architecture
-------- Storage Engine Statistics -------------------------------------------
[--] Status: -Archive -BDB -Federated +InnoDB -ISAM -NDBCluster
[--] Data in MyISAM tables: 138M (Tables: 267)
[--] Data in InnoDB tables: 170M (Tables: 327)
[--] Data in MEMORY tables: 0B (Tables: 1)
[!!] Total fragmented tables: 329
-------- Performance Metrics -------------------------------------------------
[--] Up for: 20h 45m 57s (558K q [7.468 qps], 58K conn, TX: 685M, RX: 98M)
[--] Reads / Writes: 66% / 34%
[--] Total buffers: 1.1G global + 6.0M per thread (150 max threads)
[OK] Maximum possible memory usage: 2.0G (12% of installed RAM)
[OK] Slow queries: 0% (54/558K)
[OK] Highest usage of available connections: 6% (10/150)
[OK] Key buffer size / total MyISAM indexes: 16.0M/8.8M
[OK] Key buffer hit rate: 99.9% (245K cached / 258 reads)
[OK] Query cache efficiency: 51.5% (176K cached / 342K selects)
[OK] Query cache prunes per day: 0
[OK] Sorts requiring temporary tables: 6% (1K temp sorts / 19K sorts)
[!!] Temporary tables created on disk: 34% (2K on disk / 8K total)
[OK] Thread cache hit rate: 99% (10 created / 58K connections)
[!!] Table cache hit rate: 16% (786 open / 4K opened)
[OK] Open file limit used: 32% (714/2K)
[OK] Table locks acquired immediately: 99% (329K immediate / 329K locks)
[OK] InnoDB data size / buffer pool: 170.3M/512.0M
-------- Recommendations -----------------------------------------------------
General recommendations:
Run OPTIMIZE TABLE to defragment tables for better performance
MySQL started within last 24 hours - recommendations may be inaccurate
Temporary table size is already large - reduce result set size
Reduce your SELECT DISTINCT queries without LIMIT clauses
Increase table_cache gradually to avoid file descriptor limits
Variables to adjust:
table_cache (> 1024)
Of course it happens only for ~1% of that queries (99% works fine), and then HDD is really bussy (13% - 20% wa on 8 cores server)
Should I keep increasing table_cache? Any other ideas what's going on? How can I improve it?
My MySQL Server is 5.1.66. I tried to upgrade to 5.5.x but that didn't help me, so I downgrade it back.
Insertion is inserting a new key and update is updating the value of an existing key. If that is the case (a very common case) , update would be faster than insertion because update involves an indexed lookup and changing an existing value without touching the index.
Inserts against a table with no clustered index (heap) are optimized for saving space, rather than performance. This means that SQL Server will spend more time searching for available space than when a clustered index is used.
You can use the following methods to speed up inserts: If you are inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists to insert several rows at a time. This is considerably faster (many times faster in some cases) than using separate single-row INSERT statements.
Insert is more faster than update because in insert there's no checking of data.
Of course it happens only for ~1% of that queries (99% works fine), and then HDD is really bussy (13% - 20% was on 8 cores server)
You are hitting a problem with your disk - I bet this occurs while your innodb log is flushing to disk - I would experiment with both smaller (for flushes more often) and larger log sizes (for less frequent flushes) - I expect you get more from more frequent flushes.
The other thing to see is what is eating your IO - run iotop during this time if you can to capture the culprit.
Otherwise, ensure your tmp, data, and log partitions are physically separate if you can.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With