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 !!!
Your problem is on using the variable $name on your LOAD DATA LOCAL INFILE statement, you should use the variable $file in your statement..
Your statement should change to;
$import = "LOAD DATA LOCAL INFILE '" . $file. "' INTO TABLE temporal_load FIELDS TERMINATED BY ',' optionally ENCLOSED BY '\"' LINES TERMINATED BY '\r\n' IGNORE 1 LINES (num,ticker,company,sector,industry) ";
mysql_query($import) or die(mysql_error());
Best Answer
24 hours is a very long time- the most important factor when running
LOAD DATA
is the buffer pool, and yours (22GB) should be enough to accommodate the imported 3.5G file. Something else must be going on, please share more data like theSHOW CREATE TABLE
output for the used table andSHOW PROCESSLIST
- maybe there is something blocking the table and you are waiting for the process to start. You can check at any time the state of the load by checking theGLOBAL STATUS
forinnodb%' as well as the
Handler_writes`.To give you an idea of how much I would expect this to take, a 3.7 GB file should not take much more than 200 seconds to safely load on an SSD desktop-grade machine. See these tests I did not a long time ago on all recent MariaDB and MySQL versions on a non-server grade machine, even on a default (bad) config: https://dbahire.com/testing-again-load-data-on-mysql-5-6-5-7-8-0-non-ga-and-mariadb-10-0-10-1-and-10-2-non-ga/