...even surpassing it's theorically maximum possible allocation.
[OK] Maximum possible memory usage: 7.3G (46% of installed RAM)
There is not actually a way to calculate maximum possible memory usage for MySQL, because there is no cap on the memory it can request from the system.
The calculation done by mysqltuner.pl is only an estimate, based on a formula that doesn't take into account all possible variables, because if all possible variables were taken into account, the answer would always be "infinite." It's unfortunate that it's labeled this way.
Here is my theory on what's contributing to your excessive memory usage:
thread_cache_size = 128
Given that your max_connections
is set to 200, the value of 128 for thread_cache_size
seems far too high. Here's what makes me think this might be contributing to your problem:
When a thread is no longer needed, the memory allocated to it is released and returned to the system unless the thread goes back into the thread cache. In that case, the memory remains allocated.
http://dev.mysql.com/doc/refman/5.6/en/memory-use.html
If your workload causes even an occasional client thread to require a large amount of memory, those threads may be holding onto that memory, then going back to the pool and sitting around, continuing to hold on to memory they don't technically "need" any more, on the premise that holding on to the memory is less costly than releasing it if you're likely to need it again.
I think it's worth a try to do the following, after first making a note of how much memory MySQL is using at the moment.
Note how many threads are currently cached:
mysql> show status like 'Threads_cached';
+----------------+-------+
| Variable_name | Value |
+----------------+-------+
| Threads_cached | 9 |
+----------------+-------+
1 row in set (0.00 sec)
Next, disable the thread cache.
mysql> SET GLOBAL thread_cache_size = 0;
This disables the thread cache, but the cached threads will stay in the pool until they're used one more time. Disconnect from the server, then reconnect and repeat.
mysql> show status like 'Threads_cached';
Continue disconnecting, reconnecting, and checking until the counter reaches 0.
Then, see how much memory MySQL is holding.
You may see a decrease, possibly significant, and then again you may not. I tested this on one of my systems, which had 9 threads in the cache. Once those threads had all been cleared out of the cache, the total memory held by MySQL did decrease... not by much, but it does illustrate that threads in the cache do release at least some memory when they are destroyed.
If you see a significant decrease, you may have found your problem. If you don't, then there's one more thing that needs to happen, and how quickly it can happen depends on your environment.
If the theory holds that the other threads -- the ones currently servicing active client connections -- have significant memory allocated to them, either because of recent work in their current client session or because of work requiring a lot of memory that was done by another connection prior to them languishing in the pool, then you won't see all of the potential reduction in memory consumption until those threads are allowed to die and be destroyed. Presumably your application doesn't hold them forever, but how long it will take to know for sure whether there's a difference will depend on whether you have the option of cycling your application (dropping and reconnecting the client threads) or if you'll have to just wait for them to be dropped and reconnected over time on their own.
But... it seems like a worthwhile test. You should not see a substantial performance penalty by setting thread_cache_size
to 0. Fortunately, thread_cache_size
is a dynamic variable, so you can freely change it with the server running.
YOUR QUERY
SELECT post.postid, post.attach FROM newbb_innopost AS post WHERE post.threadid = 51506;
At first glance, that query should only touches 1.1597% (62510 out of 5390146) of the table. It should be fast given the key distribution of threadid 51506.
REALITY CHECK
No matter which version of MySQL (Oracle, Percona, MariaDB) you use, none of them can fight to one enemy they all have in common : The InnoDB Architecture.
CLUSTERED INDEX
Please keep in mind that the each threadid entry has a primary key attached. This means that when you read from the index, it must do a primary key lookup within the ClusteredIndex (internally named gen_clust_index). In the ClusteredIndex, each InnoDB page contains both data and PRIMARY KEY index info. See my post Best of MyISAM and InnoDB for more info.
REDUNDANT INDEXES
You have a lot of clutter in the table because some indexes have the same leading columns. MySQL and InnoDB has to navigate through the index clutter to get to needed BTREE nodes. You should reduced that clutter by running the following:
ALTER TABLE newbb_innopost
DROP INDEX threadid,
DROP INDEX threadid_2,
DROP INDEX threadid_visible_dateline,
ADD INDEX threadid_visible_dateline_index (`threadid`,`visible`,`dateline`,`userid`)
;
Why strip down these indexes ?
- The first three indexes start with threadid
threadid_2
and threadid_visible_dateline
start with the same three columns
threadid_visible_dateline
does not need postid since it's the PRIMARY KEY and it's embedded
BUFFER CACHING
The InnoDB Buffer Pool caches data and index pages. MyISAM only caches index pages.
Just in this area alone, MyISAM does not waste time caching data. That's because it's not designed to cache data. InnoDB caches every data page and index page (and its grandmother) it touches. If your InnoDB Buffer Pool is too small, you could be caching pages, invalidating pages, and removing pages all in one query.
TABLE LAYOUT
You could shave of some space from the row by considering importthreadid
and importpostid
. You have them as BIGINTs. They take up 16 bytes in the ClusteredIndex per row.
You should run this
SELECT importthreadid,importpostid FROM newbb_innopost PROCEDURE ANALYSE();
This will recommend what data types these columns should be for the given dataset.
CONCLUSION
MyISAM has a lot less to contend with than InnoDB, especially in the area of caching.
While you revealed the amount of RAM (32GB
) and the version of MySQL (Server version: 10.0.12-MariaDB-1~trusty-wsrep-log mariadb.org binary distribution, wsrep_25.10.r4002
), there are still other pieces to this puzzle you have not revealed
- The InnoDB settings
- The Number of Cores
- Other settings from
my.cnf
If you can add these things to the question, I can further elaborate.
UPDATE 2014-08-28 11:27 EDT
You should increase threading
innodb_read_io_threads = 64
innodb_write_io_threads = 16
innodb_log_buffer_size = 256M
I would consider disabling the query cache (See my recent post Why query_cache_type is disabled by default start from MySQL 5.6?)
query_cache_size = 0
I would preserve the Buffer Pool
innodb_buffer_pool_dump_at_shutdown=1
innodb_buffer_pool_load_at_startup=1
Increase purge threads (if you do DML on multiple tables)
innodb_purge_threads = 4
GIVE IT A TRY !!!
Best Answer
Try this in my.cnf file,
[mysqld] innodb_buffer_pool_size = 80M
And you need to restart the Workbench as well as the Sql service.