Why are simple SELECTs on InnoDB 100x slower than on MyISAM?

I have quite an annoying problem. I want to use INNODB as my main database engine and give up on MyISAM as I need the former for using galera-cluster for redundancy.

I copied (description follows) the newbb_post table to a new table called newbb_innopost and changed that to InnoDB. The tables currently hold 5,390,146 entries each.

Running these selects on a freshly started database (so no caching is involved at this point!) the database yields the following results (omitting the complete output, please note that I do not even ask the database to sort the results):

SELECT post.postid, post.attach FROM newbb_post AS post WHERE post.threadid = 51506;

.
.
| 5401593 | 0 |
| 5401634 | 0 |
+---------+--------+
62510 rows in set (0.13 sec)

SELECT post.postid, post.attach FROM newbb_innopost AS post WHERE post.threadid = 51506;
.
.
| 5397410 | 0 |
| 5397883 | 0 |
+---------+--------+
62510 rows in set (1 min 22.19 sec)

0.13 seconds to 86.19 seconds (!)

I am wondering why this is happening. I did read some answers here on Stackexchange involving InnoDB and some are suggesting increasing innodb_buffer_pool size to 80% of installed RAM. This won't solve the problem, that the initial query to a particular ID will take at least 50x longer and stalling the whole websever, queueing up connections and queries for the database. Afterwards the cache/buffer might kick in, but there are over 100.000 threads in this database, so it is very likely that the cache will never hold all the relevant queries to be served.

The queries above are simple (no joins), and all keys are used:

EXPLAIN SELECT post.postid, post.attach FROM newbb_innopost AS post WHERE post.threadid = 51506;
+------+-------------+-------+------+-----------------------------------------------+----------+---------+-------+--------+-------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+------+----------

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 !!!

StackExchange Database Administrators Q#75091, answer score: 26